The Isomorphism Relation Between Tree-Automatic Structures

An $\omega$-tree-automatic structure is a relational structure whose domain and relations are accepted by Muller or Rabin tree automata. We investigate in this paper the isomorphism problem for $\omega$-tree-automatic structures. We prove first that the isomorphism relation for $\omega$-tree-automatic boolean algebras (respectively, partial orders, rings, commutative rings, non commutative rings, non commutative groups, nilpotent groups of class n >1) is not determined by the axiomatic system ZFC. Then we prove that the isomorphism problem for $\omega$-tree-automatic boolean algebras (respectively, partial orders, rings, commutative rings, non commutative rings, non commutative groups, nilpotent groups of class n >1) is neither a $\Sigma_2^1$-set nor a $\Pi_2^1$-set

Enhanced directed random walk for the identification of breast cancer prognostic markers from multiclass expression data

Artificial intelligence in healthcare can potentially identify the probability of contracting a particular disease more accurately. There are five common molecular subtypes of breast cancer: luminal A, luminal B, basal, ERBB2, and normal‐like. Previous investigations showed that pathway-based microarray analysis could help in the identification of prognostic markers from gene expres-sions. For example, directed random walk (DRW) can infer a greater reproducibility power of the pathway activity between two classes of samples with a higher classification accuracy. However, most of the existing methods (including DRW) ignored the characteristics of different cancer sub-types and considered all of the pathways to contribute equally to the analysis. Therefore, an enhanced DRW (eDRW+) is proposed to identify breast cancer prognostic markers from multiclass expression data. An improved weight strategy using one‐way ANOVA (F‐test) and pathway selection based on the greatest reproducibility power is proposed in eDRW+. The experimental results show that the eDRW+ exceeds other methods in terms of AUC. Besides this, the eDRW+ identifies 294 gene markers and 45 pathway markers from the breast cancer datasets with better AUC. There-fore, the prognostic markers (pathway markers and gene markers) can identify drug targets and look for cancer subtypes with clinically distinct outcomes

Physical Activity Research in Nursing

Purpose: To present exemplars of physical activity research in nursing, illustrate the importance of physical activity research across the lifespan, and recommend directions for theory development and research. Methods: Studies of physical activity and exercise currently being conducted by nurse investigators were reported and critiqued by attendees of the Midwest Nursing Research Society 2000 Preconference session entitled “Promoting Physical Activity Among Diverse Groups Across the Health Continuum.” Physical activity and exercise literature during the past decade was reviewed. Databases searched included Medline, CINAHL, Wilson, and ERIC. Findings: Investigators have emphasized the need to evaluate the effects of theory-based physical activity interventions designed to alter key correlates of physical activity identified through descriptive research. Conclusions: Regular physical activity is necessary for health promotion and disease prevention for all populations. Continued research in this important area of health behavior is critical to identify the most effective interventions to increase physical activity among diverse populations

Profil Kandungan Protein dan Tekstur Tahu Akibat Penambahan Fitat pada Proses Pembuatan Tahu

Telah dilakukan penelitian yang bertujuan untuk mempelajari profil kandungan protein dan tekstur tahu akibat penambahan fitat pada proses pembuatan tahu dengan koagulan asam asetat. Fitat merupakan senyawa monoinositol heksafosfat yang terdapat pada biji-bijian berkisar 1-5 % (b/b) dan dikenal sebagai antioksidan alami. Oleh karena itu diupayakan untuk memanfaatkan fitat kedalam proses pengolahan makanan untuk meningkatkan produknya.Pada penelitian ini tekstur tahu diukur dengan alat Penetrometer dan kadar protein dengan metode Kjeldahl pada variasi pH penggumpalan protein susu kedelai tanpa penambahan fitat dan dengan penambahan fitat.Hasil penelitian menunjukkan bahwa variasi pH penggumpalan protein susu kedelai yang ditambahi fitat ternyata mempengaruhi gumpalan tahu yang terbentuk. Jika dibandingkan dengan tahu tanpa penambahan fitat maka terjadi penurunan berat protein tahu pada pH titik isoelektrik (4,5) yaitu dari 8,131 g menjadi 6,273 g. Bertambahnya konsentrasi fitat hingga 0,05 % (b/v) menyebabkan naiknya kekerasan tahu dari 3,02 cm menjadi 1,88 cm. Diatas konsentrasi tersebut kekerasan tahu menurun. Dari hasil tersebut dapat disimpulkan bahwa penambahan fitat akan menyebabkan meningkatnya kekerasan tahu namun dapat menurunkan kadar protein tahu

A review on recent progress in machine learning and deep learning methods for cancer classification on gene expression data

Data-driven model with predictive ability are important to be used in medical and healthcare. However, the most challenging task in predictive modeling is to construct a prediction model, which can be addressed using machine learning (ML) methods. The methods are used to learn and trained the model using a gene expression dataset without being programmed explicitly. Due to the vast amount of gene expression data, this task becomes complex and time consuming. This paper provides a recent review on recent progress in ML and deep learning (DL) for cancer classification, which has received increasing attention in bioinformatics and computational biology. The development of cancer classification methods based on ML and DL is mostly focused on this review. Although many methods have been applied to the cancer classification problem, recent progress shows that most of the successful techniques are those based on supervised and DL methods. In addition, the sources of the healthcare dataset are also described. The development of many machine learning methods for insight analysis in cancer classification has brought a lot of improvement in healthcare. Currently, it seems that there is highly demanded further development of efficient classification methods to address the expansion of healthcare applications

Ototoksične tvari na radnom mjestu: kratak uvid u stanje

Ototoxic chemicals can impair the sense of hearing and balance. Lately, efforts have been intensifi ed to compile evidence-based lists of workplace agents with ototoxic properties. This article gives a rough overview of the latest relevant publications, which confirm that toluene, styrene, and lead should receive particular attention as ototoxic substances at the workplace. Moreover, there is sufficient evidence that occupational exposure to trichloroethylene, mercury, carbon monoxide, and carbon disulfide can affect the ear. Based on the existing information, industrial hygienists should make sure that occupational health professionals and the workforce are made aware of the risks posed by ototoxic substances; support their replacement or new technical measures to reduce exposure; make these substances a part of regular screening, develop tools that can early diagnose chemically induced hearing impairment, and investigate further into the ototoxic properties of these substances. Further research should focus on quantifying the combined effects of ototoxic substances and noise.Ototoksične kemikalije mogu narušiti osjetilo sluha i ravnotežu. Nedavno su uloženi dodatni napori u izradu znanstveno utemeljenih popisa tvari koje su prisutne na radnom mjestu, a koje imaju ototoksična svojstva. Ovaj rad daje kratak uvid u najnovije publikacije objavljene na ovu temu. Usporedba navedenih publikacija potvrđuje da bi toluen, stiren i olovo trebalo razmatrati kao izrazito bitne ototoksične tvari koje postoje na radnom mjestu. Nadalje, postoje dovoljni dokazi koji potvrđuju da ototoksične tvari poput trikloretilena, žive, ugljikova monoksida i disulfida u radnom okruženju mogu oštetiti sluh. Temeljem postojećih informacija stručnjaci u području higijene rada trebali bi upozoravati stručnjake u području medicine rada i same radnike na rizike koje ototoksične tvari predstavljaju; poticati ih na zamjenu takvih tvari ili uvođenje novih mjera za smanjenje izlaganja; uključiti ototoksične tvari u redoviti program praćenja i osmisliti mjere za rano otkrivanje oštećenja sluha zbog izloženosti kemijskim tvarima; dodatno istražiti ototoksična svojstva ovih tvari. Buduća istraživanja trebala bi se usredotočiti na izračun ukupnih učinaka ototoksičnih tvari i buke

Search for CP violation in D+→K−K+π+D^{+} \to K^{-}K^{+}\pi^{+} decays

A model-independent search for direct CP violation in the Cabibbo suppressed decay $D^+ \to K^- K^+\pi^+$ in a sample of approximately 370,000 decays is carried out. The data were collected by the LHCb experiment in 2010 and correspond to an integrated luminosity of 35 pb$^{-1}$. The normalized Dalitz plot distributions for $D^+$ and $D^-$ are compared using four different binning schemes that are sensitive to different manifestations of CP violation. No evidence for CP asymmetry is found.Comment: 13 pages, 8 figures, submitted to Phys. Rev.