Miracle-dz/UniFAR-FTUs huggingface dataset:
CO2 adsorption process simulation in ASPEN Hysys

The main objective of the paper consists to analyze the adsorption process for capturing the carbon dioxide generated from the fossil fuel power plants. For simplifying our analysis, we have considered that the stream contains only carbon dioxide and nitrogen in a mole concentration of 13/87 %. The adsorption process was simulated in the Aspen Adsorption V9 considering silica gel impregnated with amine and activated carbon. In this case, an adsorption column of 10 cm length was used according to the exhaust gases flow in order to achieve a CO2 capture efficiency of 85 %. However, the CO2 capture efficiency of 85 % was obtained only for silica gel due to its chemical properties. In the activated carbon case, the CO2 capture efficiency was 77 %. In both cases, the maximal efficiency was obtained after 10 s due to the adsorption capacity of the bed.
Lexical Co-occurrence, Statistical Significance, and Word Association

Lexical co-occurrence is an important cue for detecting word associations. We propose a new measure of word association based on a new notion of statistical significance for lexical co-occurrences. Existing measures typically rely on global unigram frequencies to determine expected co-occurrence counts. Instead, we focus only on documents that contain both terms (of a candidate word-pair) and ask if the distribution of the observed spans of the word-pair resembles that under a random null model. This would imply that the words in the pair are not related strongly enough for one word to influence placement of the other. However, if the words are found to occur closer together than explainable by the null model, then we hypothesize a more direct association between the words. Through extensive empirical evaluation on most of the publicly available benchmark data sets, we show the advantages of our measure over existing co-occurrence measures.
CHEMOPROTECTIVE ROLE OF BOVINE LACTOFERRICIN AGAINST 7, 12 DIMETHYLBENZ (A) ANTHRACENE INDUCED SKIN CANCER IN FEMALE SWISS ALBINO MICE

Objective: To investigate the chemo-preventive effect of subcutaneous injection of bovine lactofericin (LfcinB) against 7, 12 dimethylbenz (a) anthracene (DMBA) induced carcinogenesis in swiss albino female mice. Methods: 30 animals were divided into 3 groups. 200μl of DMBA (0.025μg/μl) per animal three times per week as topical was used to induce skin cancer in both groups II and III. In addition to DMBA, group III was protected with subcutaneous injection of LfcinB (20μg/μl) while group I served as control. At the end of 16 th week lysates/blood/serum were subjected to various tests such as antioxidant, glucose, liver enzymes and kidney marker parameters. Results: Topical application of 200μl DMBA (0.025μg/μl) per animal three times per week has produced 100% tumor incidence in DMBA treated group at the end of 16 th week whereas only 20% developed tumors in the LfcinB+DMBA treated group. Antioxidants level were found to be significantly (P<0.01) depleted in reduced glutathione (GSH), glutathione reductase (GR), glutathione peroxidase (GPx), catalase (CAT) and liver enzymes, Alaninine aminotransferase (ALT) and Alkaline phosphatase (ALP). Subcutaneous administration of 200μl of LfcinB (20μg/μl) significantly (P<0.01) normalized the antioxidants (GSH, GR, GPx and CAT) levels. Conclusion: LfcinB exerts its chemoprotective effect through acting as an antioxidant, thereby inhibiting carcinogenesis, hepatocellular and renal damage. Lfcin B may act as a promising chemoprotective agent against DMBA induced skin cancer.
Effects of β-Adrenoceptor Subtypes on Cardiac Function in Myocardial Infarction Rats Exposed to Fine Particulate Matter (PM2.5)

The pathophysiological mechanisms of heart failure (HF) stems were mainly from longstanding overactivation of the sympathetic nervous system and renin-angiotensin-aldosterone system. Recent studies highlighted the potential benefits of β1-adrenoceptor (β1-AR) blocker combined with β2-adrenergic receptor (β2-AR) agonist in patients with HF. Long-term exposure to fine particulate air pollution, such as particulate matter ≤ 2.5 μm in diameter (PM2.5), has been found associated with acute myocardial infarction (AMI) which is the most common cause of congestive HF. In this study, we have investigated the effect of combined metoprolol and terbutaline on cardiac function in a rat model of AMI exposed to PM2.5. Our results demonstrated that short-term exposure to PM2.5 contributes to aggravate cardiac function in rats with myocardial infarction. The combined use of β1-AR blocker and β2-AR agonist is superior to β1-AR blocker alone for the treatment of AMI rats exposed to PM2.5. The combination of β1-AR blocker and β2-AR agonist may decrease the mortality of patients with myocardial infarction who have been exposed to PM2.5.
Role of the Yeast Gin4p Protein Kinase in Septin Assembly and the Relationship between Septin Assembly and Septin Function

To identify septin-interacting proteins in Saccharomyces cerevisiae, we screened for mutations that are synthetically lethal with a cdc12 septin mutation. One of the genes identified was GIN4, which encodes a protein kinase related to Hsl1p/Nik1p and Ycl024Wp in S. cerevisiae and to Nim1p/Cdr1p and Cdr2p in Schizosaccharomyces pombe. The Gin4p kinase domain displayed a two-hybrid interaction with the COOH-terminal portion of the Cdc3p septin, and Gin4p colocalized with the septins at the mother–bud neck. This localization depended on the septins and on the COOH-terminal (nonkinase) region of Gin4p, and overproduction of this COOH-terminal region led to a loss of septin organization and associated morphogenetic defects. We detected no effect of deleting YCL024W, either alone or in combination with deletion of GIN4. Deletion of GIN4 was not lethal but led to a striking reorganization of the septins accompanied by morphogenetic abnormalities and a defect in cell separation; however, remarkably, cytokinesis appeared to occur efficiently. Two other proteins that localize to the neck in a septin-dependent manner showed similar reorganizations and also appeared to remain largely functional. The septin organization observed in gin4Δ vegetative cells resembles that seen normally in cells responding to mating pheromone, and no Gin4p was detected in association with the septins in such cells. The organization of the septins observed in gin4Δ cells and in cells responding to pheromone appears to support some aspects of the model for septin organization suggested previously by Field et al. (Field, C.M., O. Al-Awar, J. Rosenblatt, M.L. Wong, B. Alberts, and T.J. Mitchison. 1996. J. Cell Biol. 133:605–616).
Assessing Colorectal Cancer Screening Behaviors and Knowledge among At-Risk Hispanics in Southern New Mexico*

Purpose Colorectal cancer (CRC) mortality rates in New Mexico (NM) continue to be higher than national rates. Hispanic CRC mortality rates in NM surpass those of overall Hispanics in the US. This study was designed to characterize and understand factors contributing to low CRC screening rates in this border region. Methods A CRC Knowledge Assessment Survey (KAS) was administered in either English or Spanish to 247 individuals attending community events throughout southern NM. A subset of these individuals completed an online CRC risk assessment survey managed by the National Cancer Institute (NCI). Data analysis tested for significant differences in knowledge, physician-patient CRC interactions, CRC risk level perception, and screening rates across diverse ethnic and age groups. Results Both CRC knowledge and physician-patient CRC interactions were positively associated with participant screening history. Significant age and ethnic differences for CRC knowledge, physician-patient CRC interactions, and screening history in the NM border sample were also seen. Age-eligible Hispanics (50+) as well as those less than 50 years of age had lower CRC knowledge and were less likely to engage in physician-patient CRC interactions than non-Hispanic Whites (NHWs). The age-eligible Hispanics also reported lower CRC screening rates than their NHW counterparts. Conclusions Low CRC knowledge and limited physician-patient CRC interactions appear to contribute to low screening rates in this NM population. Expanding education and outreach efforts for this border population are essential to promote early CRC detection and thereby decrease overall CRC mortality rates.
Sex differences in progesterone receptor immunoreactivity in neonatal mouse brain depend on estrogen receptor alpha expression.

Around the time of birth, male rats express higher levels of progesterone receptors in the medial preoptic nucleus (MPN) than female rats, suggesting that the MPN may be differentially sensitive to maternal hormones in developing males and females. Preliminary evidence suggests that this sex difference depends on the activation of estrogen receptors around birth. To test whether estrogen receptor alpha (ER alpha) is involved, we compared progesterone receptor immunoreactivity (PRir) in the brains of male and female neonatal mice that lacked a functional ER alpha gene or were wild type for the disrupted gene. We demonstrate that males express much higher levels of PRir in the MPN and the ventromedial nucleus of the neonatal mouse brain than females, and that PRir expression is dependent on the expression of ER alpha in these regions. In contrast, PRir levels in neocortex are not altered by ER alpha gene disruption. The results of this study suggest that the induction of PR via ER alpha may render specific regions of the developing male brain more sensitive to progesterone than the developing female brain, and may thereby underlie sexual differentiation of these regions.
Novel Virophages Discovered in a Freshwater Lake in China

Virophages are small double-stranded DNA viruses that are parasites of giant DNA viruses that infect unicellular eukaryotes. Here we identify a novel group of virophages, named Dishui Lake virophages (DSLVs) that were discovered in Dishui Lake (DSL): an artificial freshwater lake in Shanghai, China. Based on PCR and metagenomic analysis, the complete genome of DSLV1 was found to be circular and 28,788 base pairs in length, with a G+C content 43.2%, and 28 predicted open reading frames (ORFs). Fifteen of the DSLV1 ORFs have sequence similarity to known virophages. Two DSLV1 ORFs exhibited sequence similarity to that of prasinoviruses (Phycodnaviridae) and chloroviruses (Phycodnaviridae), respectively, suggesting horizontal gene transfer occurred between these large algal DNA viruses and DSLV1. 46 other virophages-related contigs were also obtained, including six homologous major capsid protein (MCP) gene. Phylogenetic analysis of these MCPs showed that DSLVs are closely related to OLV (Organic Lake virophage) and YSLVs (Yellowstone Lake virophages), especially to YSLV3, except for YSLV7. These results indicate that freshwater ecotopes are the hotbed for discovering novel virophages as well as understanding their diversity and properties.
SVR based double-scale regression for dynamic emotion prediction in music

Dynamic music emotion prediction is to recognize the continuous emotion contained in music, and has various applications. In recent years, dynamic music emotion recognition is widely studied, while the inside structure of the emotion in music remains unclear. We conduct a data observation based on the database provided by Free Music Archive (FMA), and find that emotion dynamic shows different properties under different scales. According to the data observation, we propose a new method, Double-scale Support Vector Regression (DS-SVR), to dynamically recognize the music emotion. The new method decouples two scales of emotion dynamics apart, and recognizes them separately. We apply the DS-SVR to MediaEval 2015, Emotion in Music database, and achieve an outstanding performance, significantly better than the baseline provided by organizer.
Structural Information in Graphs : Symmetries and Admissible Relabelings

We study structural properties of preferential attachment graphs (with parameter m ≥ 1 giving the number of attachment choices that each new vertex makes) which intervene in two complementary algorithmic/statistical/information-theoretic problems involving the information shared between a random graph’s labels and its structure: in structural compression, we seek to compactly describe a graph’s structure by a bit string, throwing away its label information; in the node arrival order recovery, we seek to recover node labels, given only a graph structure. In particular, we study the typical size of the automorphism group, as well as some shape parameters (such as the number of linear extensions and height) of the directed version of the graph, which in turn allows us to estimate the typical number of admissible labeled representatives of a given graph structure. Our result on the automorphism group positively settles a conjecture to the effect that, provided that m ≥ 3, preferential attachment graphs are asymmetric with high probability, and completes the characterization of the number of symmetries for a broad range of parameters of the model (i.e., for all fixed m). These results allow us to give an algorithmically efficient, asymptotically optimal algorithm for compression of unlabeled preferential attachment graphs. To show the optimality of our scheme, we also derive new, precise estimates of the Shannon entropy of both the unlabeled and labeled version of the model. Our results also imply inapproximability results for the problem of node arrival order recovery. Finally, we give several new results on the degree sequence of preferential attachment graphs, which may be of independent interest.
A novel framework for face recognition using ASM and sparse coding

Face recognition system is an application that is used to identifying or verifying a person from a digital image, which can be done by comparing selected facial features from the image and a facial database, but robust commercial applications are still lacking. Face images used present variations in pose, illumination, image quality, and resolution. The benefits of using image quality and reliability is to improve the accuracy. Face recognition (principal component analysis (PCA) to assess the feasibility of real world face recognition, but the system performance are low when the image in uncontrolled poses. Active shape models (ASMs) are statistical model, which iteratively deform to fit to a new image. The shapes are constrained by the PDM (Point Distribution Model) which is statistical shape model, to vary only in training set of labelled examples. Then weighted matching will be applied between the input image and database images. This method provide the better recognition performance when compare to the Existing methods. Here we detect the face by the Active shape model Algorithm. It is reliable to uncontrolled pose images.
Using Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph-based Word Sense Induction

In this paper we deﬁne two parallel data sets based on pseudowords, extracted from the same corpus. They both consist of word-centered graphs for each of 1225 different pseudowords, and use respectively ﬁrst-order co-occurrences and second-order semantic similarities. We propose an evaluation framework on these data sets for graph-based Word Sense Induction ( WSI ) focused on the case of coarse-grained homonymy: We compare different WSI clustering algorithms by measuring how well their outputs agree with the a priori known ground-truth decomposition of a pseudoword. We perform this evaluation for four different clustering algorithms: the Markov cluster algorithm, Chinese Whispers, MaxMax and a gangplank-based clustering algorithm. To further improve the comparison between these algorithms and the analysis of their behaviours, we also deﬁne a new speciﬁc evaluation measure. As far as we know, this is the ﬁrst large-scale systematic pseudoword evaluation dedicated to the induction of coarse-grained homonymous word senses.
Relation of urinary albumin excretion to coronary heart disease and low renal function: role of blood pressure.

BACKGROUND Previous studies report that urinary albumin excretion is associated with coronary heart disease (CHD). The present epidemiologic study investigated if (1) blood pressure status affects the association of urinary albumin excretion with CHD; and (2) urinary albumin excretion is associated with low renal function also. METHODS The cross-sectional association was analyzed of overnight urinary albumin excretion with prevalence of CHD (myocardial infarction and/or ischemia as defined by standard electrocardiogram) and low renal function (overnight creatinine clearance <60 mL/min) in a population sample of 1632 men and women with ages 45 to 64 years. Hypertension, hypercholesterolemia, smoking habit, and diabetes mellitus were included in analyses. RESULTS CHD prevalence was in the whole sample 8.2% (N= 134), in the hypertensive subgroup 11.9% (N= 79), and in the nonhypertensive subgroup 5.7% (N= 55). For the association between urinary albumin excretion (logarithm-transformed due to skewed distribution) and CHD, the multivariate logistic coefficient with 95% CI was significant in the whole sample (+0.79, 95% CI =+0.32/+1.26, P < 0.001) and in the hypertensive subgroup (+0.97, 95% CI =+0.70/+1.24, P < 0.001), not in the nonhypertensive subgroup (-0.06, 95% CI =-0.80/+0.68, P= 0.997). Prevalence of low creatinine clearance was in the whole sample 4.0% (N= 66), in the hypertensive subgroup 4.8% (N= 32), and in the nonhypertensive subgroup 3.5% (N= 34). The logistic coefficient between urinary albumin excretion and low creatinine clearance was borderline significant in the whole sample (+0.56, 95% CI =-0.02/+1.14, P= 0.090), significant in the hypertensive subgroup (+0.73, 95% CI =+0.04/+1.42, P= 0.044), not significant in the nonhypertensive subgroup (-0.07, 95% CI =-1.25/+1.10, P= 0.913). CONCLUSION Results support the use of urinary albumin excretion as marker of CHD and slightly reduced renal function in hypertensives.
Estrogen receptor α gene polymorphism in schizophrenia: frequency, age at onset, symptomatology and prognosis

Schizophrenic disorders are equally distributed for both sexes; however, later onset, milder psychopathology and better outcome are associated with the female gender. This sex difference is thought to be partly due to the estrogen system. Recent studies have determined that estrogen receptor α subtype (ERα) genetic polymorphisms may affect the expression of ERα, and are associated with Alzheimer's disease. For this study, we investigated the association of ERα polymorphisms for 125 schizophrenic patients and 142 control subjects. No significant differences for genotype distribution or allele frequency were revealed comparing controls and schizophrenic patients. The ERα genotypes were not associated with onset age, psychiatric symptoms or outcome for schizophrenic cases. With new research highlighting the prominent role of sex hormones in neurological and psychological dysfunction, further study is needed to explore the genetic effect of the sex hormone receptor gene on susceptibility mental disorders and associations with different phenotypes.
Artificial Intelligence (AI) versus Computational Intelligence (CI) for treatment of complexity in design

The complexity of design tasks has a number of aspects. Three of them are the vagueness of objectives, conflicting nature of objectives, as well as the large amount of possible solutions. This paper considers two major approaches addressing treatment of these complexity aspects, namely approaches based on methods from the domain of classical artificial intelligence (AI) and approaches using methods from the emerging paradigm of computational intelligence (CI). Challenges of the methodologies in treating complexity issues are pinpointed, and alleviation is exemplified by means of an approach that is based on two CI methodologies addressing an architectural design problem.
Failure-Oblivious Computing and Boundless Memory Blocks

Memory errors are a common cause of incorrect software execution and security vulnerabilities. We have developed two new techniques that help software continue to execute successfully through memory errors: failure-oblivious computing and boundless memory blocks. The foundation of both techniques is a compiler that generates code that checks accesses via pointers to detect out of bounds accesses. Instead of terminating or throwing an exception, the generated code takes another action that keeps the program executing without memory corruption. Failure-oblivious code simply discards invalid writes and manufactures values to return for invalid reads, enabling the program to continue its normal execution path. Code that implements boundless memory blocks stores invalid writes away in a hash table to return as the values for corresponding out of bounds reads. The net effect is to (conceptually) give each allocated memory block unbounded size and to eliminate out of bounds accesses as a programming error. We have implemented both techniques and acquired several widely used open source servers (Apache, Sendmail, Pine, Mutt, and Midnight Commander). With standard compilers, all of these servers are vulnerable to buffer overflow attacks as documented at security tracking web sites. Both failure-oblivious computing and boundless memory blocks eliminate these security vulnerabilities (as well as other memory errors). Our results show that our compiler enables the servers to execute successfully through buffer overflow attacks to continue to correctly service user requests without security vulnerabilities.
Development of optical fibre humidity sensors for assessing the quality of housing insulation materials

A fibre optic-based relative humidity (RH) sensing system has been developed for assessing the qualities of housing insulation materials, based on a Polyimide (PI)-coated Fibre Bragg Grating (FBG) device. This forms the key moisture sensitive element, allowing a carefully-designed and packaged sensor system to be fabricated, evaluated and calibrated, creating the robustness and reusability needed. Following calibration, the system performance evaluated on a range of commercial housing insulation materials shows excellent performance in establishing the key moisture-transport parameters of the materials routinely used by structural engineers. Cross-sensitivity issues are addressed allowing the RH sensor system to operate over a wide range of RH level experienced normally in this application. A sensitivity of 1.1 pm/%RH, with low hysteresis from a ruggedized sensor, is observed.
The Social Stratification of (r) in Boston

Normal 0 Employing Labov’s (1966) rapid and anonymous method of data collection, 90 tokens of Bostonian (r) were gathered and subjected to multivariate analyses showing significant correlations of (r) with sex, social class and neighborhood, though none with age. Contrary to past claims, I suggest (r) is in a state of stable variation in Boston.