Miracle-dz/UniFAR-FTUs huggingface dataset:
Disturbance Observer Based Controller Under Noisy Measurement for Tracking of nDOF Uncertain Mismatched Nonlinear Interconnected Systems

This article analyzes a recent result on tracking control of nonlinear, mismatched interconnected systems and points out its drawback with regard to noise amplification that originates from numerical differentiation of tracking error. One of the objectives of the article is to propose two remedial measures and show their improvements by analysis for performance and stability. In the first remedy, the derivative of the tracking error is obtained without recourse to numerical differentiation while the second remedy offers a solution that does not need the derivative of the tracking error. Another objective of the article is to propose an extension to decentralized sliding mode control of interconnected systems. Unlike other published results, the extension can assure local sliding in each subsystem. The proposed remedies are validated by numerical simulation, and experimentation on a laboratory coupled tank system. A discussion with a generalized extended state observer based method and comparative simulations with other well-known methods are carried out.
Block cosparsity overcomplete learning transform image segmentation algorithm based on burr model

: To improve the performance of the high-voltage copper contact burr image segmentation, a block cosparsity overcomplete learning transform image segmentation algorithm based on burr model is proposed in this study. In this study, k - means clustering method is used to initialise the clustering results; the authors found the algorithm is very effective for burr image processing in production process and the sparse overcomplete transform matrix is initialised by discrete cosine transform. The algorithm is expressed by a set of transforms. When the set of transforms is fixed, the penalty is corresponding to the condition number. A new burr model is proposed in this study. The parameters of the burr are the factors on infection of the sparse-level constant and the regularisation coefficient of the block cosparsity overcomplete learning transform algorithm. The algorithm divides all pixels into several groups. To evaluate the performance of the model, a large number of experiments have been carried out, and three image segmentation evaluation criterions have been used to evaluate the effectiveness of the algorithm. Experimental results show that this method is excellent in retaining weak edge information and avoiding the influence of three-dimensional structure compared with other algorithms.
Empirically derived dietary patterns and obesity among Iranian Adults: Yazd Health Study‐TAMYZ and Shahedieh cohort study

Abstract The aim was to determine the relationship between dietary patterns derived by principal component analysis (PCA) in association with obesity from a large group of Iranian adults in the urban and suburb areas. A cross‐sectional study was conducted on 10,693 Iranian adults. The data were collected from two cohort studies: Shahedieh city annexed to Yazd area as well as Yazd Health Study (YaHS)‐TAMYZ (Yazd Nutrition Survey in Persian) in urban area. Dietary intakes were assessed using a validated semi‐quantitative food frequency questionnaire. The PCA was applied to identify the dietary patterns. Multiple logistic regressions were run to assess the relationship between dietary patterns and obesity. In Shahedieh cohort study, three major dietary patterns were identified traditional, unhealthy, and prudent pattern. Prudent pattern was associated with lower odds of obesity (OR: 0.68; 95% CI: 0.53, 0.88). Higher adherence to the unhealthy (OR: 1.24; 95% CI: 1.02, 1.50) and traditional (OR: 1.38; 95% CI: 1.11, 1.72) patterns was related to greater odds of obesity. Moreover, we identified traditional and unhealthy dietary patterns in YaHS study. Higher adherence to the unhealthy dietary pattern was associated with greater odds of obesity (OR: 1.21 95% CI: 1.02, 1.44). Greater adherence to unhealthy dietary patterns was associated with higher odds of obesity in participants. Greater adherence to traditional and prudent dietary patterns increased and decreased the obesity odds, respectively. Further prospective studies are needed to find out the causal relationship between the variables.
High-resolution and Deep Phylogenetic Reconstruction of Ancestral States from Large Transcriptomic Data Sets

Phylogenetics is an important area of evolutionary biology that helps to understand the origin and divergence of genes, genomes and species. Building meaningful phylogenetic trees is needed for the accurate reconstruction of the past. To achieve a correct phylogenetic understanding of genes or proteins, reliable and robust methods are needed to construct meaningful trees. With the rapidly increasing availability of genome and transcriptome sequencing data, there is a need for efficient and accurate methodologies for ancestral state reconstruction. Currently available methods are mostly specific for certain gene families, and require substantial adaptation for their application to other gene families. Hence, a generalized framework is essential to utilize large transcriptome resources such as OneKP and MMETSP. Here, we have developed a flexible yet efficient method, based on core strengths such as emphasis on being inclusive in homolog selection, and defining orthologs based on multi-layered inferences. We illustrate how specific steps can be modified to fit the needs of any protein family under consideration. We also demonstrate the success of this protocol by studying and testing the orthologs in various gene families. Taken together, we present a protocol for reconstructing the ancestral states of various domains and proteins across multiple kingdoms of eukaryotes, using thousands of transcriptomes.
MobiKey: Mobility-Based Secret Key Generation in Smart Home

Consumer Internet-of-Things platforms, especially in smart home, have received widespread attention. A large number of end-to-end and edge-to-end wireless communication links are subject to significant security and privacy risks. Key generation using radio link side-channel information is a burgeoning technology to solve this problem. This article designs a symmetric key generation method without environmental constraints, namely, MobiKey. The basic idea is taking the human mobility in home or the swing of the antenna to generate symmetric keys based on channel reciprocity. We leverage the practical phase information as the channel feature to generate symmetric keys between two communicating parties. To overcome the effects of noise on both communication sides and get a better performance, MobiKey harnesses the adaptive quantization method to make the bit generation rate and bit matching rate higher. MobiKey also uses the adaptive inconsecutive samples to increase the confusion of the adversary. Moreover, we propose the D-Gray code to enhance the randomness of quantization. MobiKey is implemented on different commercial devices, and the results show that it has comparative advantages in key generation consistency, randomness, and security. In addition, the performance in preventing predictable channel attacks and eavesdropping attack is discussed.
Entoloma (Agaricales) in Europe: synopsis and keys to all species and a monograph of the subgenera Trichopilus, Inocephalus, Alboleptonia, Leptonia, Paraleptonia and Omphaliopsis

Entoloma (Agaricales) in Europe: synopsis and keys to all species and a monograph of the subgenera Trichopilus, Inocephalus, Alboleptonia, Leptonia, Paraleptonia and Omphaliopsis , Entoloma (Agaricales) in Europe: synopsis and keys to all species and a monograph of the subgenera T. , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی
A budget allocation strategy minimizing the sample set quantile for initial experimental design

Abstract The increased complexity of manufacturing systems makes the acquisition of the system performance estimate a black-box procedure (e.g., simulation tools). The efficiency of most black-box optimization algorithms is affected significantly by initial designs (populations). In most population initializers, points are spread out to explore the entire domain, e.g., space-filling designs. Some population initializers also consider exploitation procedures to speed up the optimization process. However, they are either application-dependent or require an additional budget. This article proposes a generic method to generate, without an additional budget, several good solutions in the initial design. The aim of the method is to optimize the quantile of the objective function values in the generated sample set. The proposed method is based on a clustering of the solution space; feasible solutions are clustered into groups and the budget is allocated to each group dynamically based on the observed information. The asymptotic performance of the proposed method is analyzed theoretically. The numerical results show that, if proper clustering rules are applied, an unbalanced design is generated in which promising solutions have higher sampling probabilities than non-promising solutions. The numerical results also show that the method is robust to wrong clustering rules.
Implementing Appearance-Care Research for Breast Cancer Patient into Routine Clinical Practice

Aims: Research the process of organizational change to understand how interventions such as appearance care can be integrated into daily practice. Background: Typical treatment of breast cancer is surgery, often followed by chemotherapy. Associated aesthetic ramifications, including hair loss, frequently cause patient distress. Methods: We conducted face-to-face semi-structured hour-long recorded interviews with three nurses. We then analyzed the developmental process according to the core competencies for interprofessional collaborative practice using the thematic content analysis. Results: Nurses worked with interdisciplinary team members with mutual respect and shared values such as concern for patients’ quality of life. Nurses used knowledge of appearance-related side effects combined with beautician-provided coping skills. Intervention involved responsible communication with other health professionals and patients in a team approach. Nurses promoted the developmental process and became program facilitators. Conclusion: This group-intervention program, facilitated by nurses, was integrated into daily practice. Implications for nursing management: Research partnerships between academics, clinical nurses, nurse managers, and beauticians can improve the integration of interventions in routine practice and increase awareness of patients’ needs.
Wolf, Canis lupus , visits to white-tailed deer, Odocoileus virginianus, summer ranges: Optimal foraging?

We tested whether Wolf ( Canis lupus ) visits to individual female White-tailed Deer ( Odocoileus virginianus ) summer ranges during 2003 and 2004 in northeastern Minnesota were in accord with optimal-foraging theory. Using GPS collars with 10- to 30-minute location attempts on four Wolves and five female deer, plus eleven VHF-collared female deer in the Wolves' territory, provided new insights into the frequency of Wolf visits to summer ranges of female deer. Wolves made a mean 0.055 visits/day to summer ranges of deer three years and older, significantly more than their 0.032 mean visits/day to ranges of two-year-old deer, which generally produce fewer fawns, and most Wolf visits to ranges of older deer were much longer than those to ranges of younger deer. Because fawns comprise the major part of the Wolf's summer diet, this Wolf behavior accords with optimal-foraging theory.
B Virus Circumvents Innate Responses in Human Cells

B virus (Cercopithecine herpesvirus 1) is an alphaherpesvirus indigenous to macaque monkeys and is closely related to herpes simplex virus type 1 (HSV-1). Disease caused by B virus, which is often mild or asymptomatic in its natural host, the macaque monkey, is similar in infected macaques to HSV-1 infection in humans. When B virus zoonotically infects foreign hosts, e.g., humans, high morbidity and mortality are evidenced in > 80% of untreated cases. To explore the underlying reasons for differences in pathogenesis between B virus and HSV-1 infection in humans, human microarrays were used to comparatively examine global cellular gene expression patterns engaged as a result of infection of human foreskin fibroblasts (HFFs). Our results demonstrate that these closely related simplexvirus family members have divergent strategies to thwart host cell pathways related to innate defenses. In these studies, B virus did not induce detectable interferon, cytokine or chemokine genes, in sharp contrast to HSV-1, which induced innate immune responsive genes in infected cells. Although no innate immune response genes were found to be up-regulated by B virus infection, B virus induced I! B", which was the only gene found to be involved in the NF-! B signaling pathway within the innate immunity biological network. Quantification of NF-! B p50 DNA binding activity in virus-infected nuclear extracts demonstrated that NF-! B p50 DNA binding activity was lower in B virus-infected cells. Suppression of I! B" in B virus infected cells by siRNA restored NF-! B-induced cytokine and chemokine expressions. Data presented here support the model that I! B" inhibits NF-! B regulated immune responsive genes in B virus-infected HFF cells, and this response differs from that observed in HFF cells infected with HSV-1. The result is that B virus alters the NF-! B regulated expression of cytokine and chemokine genes of HFF cells differently from HSV-1 early after infection. These differences in cytokine and chemokine expression may be associated with the delayed or reduced host responses observed in B virus infected humans and underlie the failure of adaptive responses in zoonotically infected humans. INDEX WORDS: B virus, innate immunity, HSV-1, microarray, NF-! B, I! B" B VIRUS CIRCUMVENTS INNATE RESPONSES IN HUMAN CELLS
Adopting Texture Features to Detect and Recognize Brain Tumors in Magnetic Resonance Images

The detection and recognition of tumor have a very important role in many applications of medical imaging. The use of computer in this process required high accuracy as it relates to human life especially that the error rate should be as low as possible. In this paper, Magnetic Resonance Imaging (MRI) images are tested using image processing (segmentation-based threshold) and supervised classification (minimum distance) to detect the region of interest. The location of the tumor is located using histogram algorithm with run length features. The geometric measurements calculated to identify tumors dimensions, location, volume and area. The results were highly efficient and highly accurate to determine the location and dimensions of the tumor.
You Write What You Are - Exploring the Relationship between Online Reviewers' Personality Traits and Their Reviewing Behavior

Online review system designers implement different design features to nudge their systems ’ users towards behaving in a certain way, e.g., by providing review templates to influence the content of reviews. Most of these measures apply to all users equally and do not take the individual reviewers ’ personality into account. Based on identified gaps within research on online reviews [1], as a first step to close one of these gaps, we present an exploratory study that reveals the relationship between personality traits and reviewing behavior. We analyze a comprehensive dataset of restaurant reviews from Yelp and determine the Big Five personality traits of each reviewer using IBM Watson. Amongst others, our results suggest that reviewers, who are rather extroverted, are less likely to write long reviews. These insights emphasize that design features should be developed with the reviewers ’ personality in mind and thus bear potential for future research.
Maybe tainted data: Theory and a case study

Dynamic taint analysis is often used as a defense against low-integrity data in applications with untrusted user interfaces. An important example is defense against XSS and injection attacks in programs with web interfaces. Data sanitization is commonly used in this context, and can be treated as a precondition for endorsement in a dynamic integrity taint analysis. However, sanitization is often incomplete in practice. We develop a model of dynamic integrity taint analysis for Java that addresses imperfect sanitization with an in-depth approach. To avoid false positives, results of sanitization are endorsed for access control (aka prospective security), but are tracked and logged for auditing and accountability (aka retrospective security). We show how this heterogeneous prospective/retrospective mechanism can be speciﬁed as a uniform policy, separate from code. We then use this policy to establish correctness conditions for a program rewriting algorithm that instruments code for the analysis. These conditions synergize our previous work on the semantics of audit logging with explicit integrity which is an analogue of noninterference for taint analysis. A technical contribution of our work is the extension of explicit integrity to a high-level functional language setting with structured data, vs. previous systems that only address low level languages with unstructured data. Our approach considers endorsement which is crucial to address sanitization. An implementation of our rewriting algorithm is presented that hardens the OpenMRS medical records software system with in-depth taint analysis, along with an empirical evaluation of the overhead imposed by instrumentation. Our results show that this instrumentation is practical.
Population structure of bycaught harbour porpoise (Phocoena phocoena) in Norway

ABSTRACT The preference for coastal habitats makes the harbour porpoise, Phocoena phocoena, vulnerable to fisheries conflicts and hence prone to die due to entangling in fishing nets. An opportunistic sampling of such casualties (134 individuals) in Norwegian waters was used to assess the genetic population structure of the species by SNP-genotyping at 78 loci. The results of genetic clustering obtained for these individuals failed to identify more than one genetic group. Likewise, the individually-based F did not meet an Isolation-by-Distance pattern, thus supporting the conclusion that harbour porpoise in Norway probably belongs to a single genetic group or population.
Androgens modulate β‐amyloid levels in male rat brain

As a normal consequence of aging, men experience a significant decline in androgen levels. Although the neural consequences of age‐related androgen depletion remain unclear, recent evidence suggests a link between low androgen levels and the development of Alzheimer's disease (AD). Here, we test the hypothesis that androgens act as endogenous modulators of β‐amyloid protein (Aβ) levels. To investigate this possibility, brain and plasma levels of Aβ were measured in male rats with varying hormonal conditions. Depletion of endogenous sex steroid hormones via gonadectomy (GDX) resulted in increased brain levels of Aβ in comparison to gonadally intact male rats. This GDX‐induced increase in Aβ levels was reversed by DHT supplementation, demonstrating a functional role for androgens in modulating brain levels of Aβ. These findings suggest that age‐related androgen depletion may result in accumulation of Aβ in the male brain and thereby act as a risk factor for the development of AD.
Molecular and physiological characterization of grapevine rootstock adaptation to drought

Dans le contexte du changement climatique, les predictions realisees mettent en evidence une alteration de la disponibilite en eau dans de nombreuses regions viticoles ; ce qui, conjointement a l’augmentation de la population mondiale et la diminution des terres agricoles, va accroitre la competition pour l’utilisation des ressources hydriques. Par consequent, ameliorer l'adaptation a la secheresse de la vigne est un des enjeux majeurs des prochaines annees. Pour cela, une adaptation des pratiques culturales peut etre proposee, en particulier le choix pertinent du materiel vegetal et notamment du porte-greffe.Dans ce travail, le role du porte-greffe vis-a-vis de la reponse de la vigne greffee a la contrainte hydrique a ete etudie, en utilisant des approches ecophysiologiques, moleculaires et de modelisation. Des experiences ont ete realisees en conditions controlees afin d’etudier l’effet du deficit hydrique a court et long terme sur les reponses de differents porte-greffes greffes avec le meme scion.Le modele ecophysiologique a demontre que les porte-greffes affectent l'ouverture stomatique du greffon par des processus coordonnes incluant les caracteristiques racinaires, les signaux hydrauliques et les signaux chimiques lors d’un deficit hydrique a court terme. La conductance stomatique, le taux de transpiration et la conductance hydraulique des feuilles ont ete plus eleves en conditions irriguees et de stress hydriques moderes chez le genotype resistant a la secheresse (110 Richter) par rapport au genotype sensible a la secheresse (Vitis riparia cv. Gloire de Montpellier). Nous avons identifie plusieurs parametres genetiques impliques dans le controle de la regulation stomatique. Des differences d’architecture racinaire et de conductivite hydraulique des racines ont ete identifiees entre les porte-greffes.Le deficit hydrique a long terme a entraine des reponses adaptatives differentes entre les porte-greffes. Le genotype tolerant la secheresse a induit une modification du diametre des vaisseaux du xyleme de la partie apicale de la racine en reponse au deficit hydrique modere tandis que le genotype sensible n'a pas presente de difference par rapport au controle. L’analyse transcriptomique des racines a identifie des genes specifiques aux differents genotypes, qui sont regules en fonction du niveau de deficit hydrique. La comparaison entre les niveaux de stress et les genotypes a identifie 24 genes intervenant dans l’interaction « traitement × genotype ». Ces genes sont majoritairement impliques dans le metabolisme des lipides et de la paroi cellulaire. Des courbes de reponse au deficit hydrique specifiques aux differents genotypes ont ete observees. La protection contre les dommages lies aux stress oxydatifs induits par le stress hydrique semble etre un mecanisme important chez le porte-greffe resistant a la secheresse. Le genotype sensible semble repondre au deficit hydrique par une modification des proprietes de la paroi cellulaire de la racine.
Anticancer Activity of an Oligopeptide Isolated from Hydrolysates of Sepia Ink

AIM: To investigate the antitumor effect of peptides from Sepia ink by enzymatic hydrolysis. METHODS: Sepia ink was hydrolyzed with trypsin to prepare peptides; hydrolysates were isolated by ultrafiltration and purified using G-25 gel filtration. The purity of the sepia ink oligopeptides was demonstrated by HPLC and its peptide sequence was detected. Then CCK-8 method was employed to measure cellular viability, and HE staining was used to detect cell morphological change. RESULTS: An oligopeptide was obtained from the hydrolysates of Sepia ink and identified as N Gln-Pro-Lys with a molecular mass of 343.4. The yield of oligopeptides was 1.82%. The CCK-8 assay showed that N Gln-Pro-Lys significantly inhibited the proliferation of DU-145 cells and induced their death in a dose-dependent manner. The morphologic changes were observed by HE staining after treated with sepia ink oligopeptides. CONCLUSION: N Gln-Pro-Lys showed potent antitumor activity.