Miracle-dz/UniFAR-FTUs huggingface dataset:
Yos9p assists in the degradation of certain nonglycosylated proteins from the endoplasmic reticulum

The lectin Yos9p is a subunit of the HRD ligase that partakes in the degradation of aberrant glycoproteins from the ER. We demonstrate that a variant of Yos9p that has lost its ability to bind glycans enhances the elimination of non-glycosylated substrates indicating that Yos9p has an additional role in the degradation of non-glycosylated proteins.
Providing customized process and situation awareness in the collaboration management infrastructure

Collaboration management involves capturing the collaboration process, coordinating the activities of the participating applications and humans, and/or providing awareness, i.e., information that is highly relevant to a specific role and situation of a process participant. We propose an awareness provisioning solution that allows customization of the awareness delivered to each process participant. Unlike existing collaboration management technologies (such as workflow and groupware) that provide only a few built-in awareness choices, the proposed awareness solution allows the specification of what information is to be given to what users and at what time. To support this advanced level of awareness, we require the definition of awareness roles and the specification of corresponding awareness descriptions. Awareness roles can be dynamically created and associated with any process scope. Awareness descriptions define what information is to be given to users in an awareness role. Since awareness roles are created or become visible when they are needed, the existence of an awareness role also determines the appropriate time interval during which the information specified in the awareness description can be delivered. This customized awareness provisioning approach minimizes information overloading and allows the combination of process-relevant information with external information as needed by the process participants. The proposed awareness provisioning solution is employed by the Collaboration Management Infrastructure (CMI), a federated system for collaboration process management. Examples from the crisis management domain are presented.
Lattice Structures from Planar Graphs

The set of all orientations of a planar graph with prescribed outdegrees carries the structure of a distributive lattice. This general theorem is proven in the first part of the paper. In the second part the theorem is applied to show that interesting combinatorial sets related to a planar graph have lattice structure: Eulerian orientations, spanning trees and Schnyder woods. For the Schnyder wood application some additional theory has to be developed. In particular it is shown that a Schnyder wood for a planar graph induces a Schnyder wood for the dual.
A Bayesian-based approach for the short-term forecasting of electrical loads in smart grids.: Part II: numerical applications

This paper deals with the numerical applications performed on real data to validate the short term active load power forecasting method proposed in the companion paper of the same title, Part I. The method proposed in Part I is a hybrid method based on the application of time series model and Bayesian inference on a dataset of load power measurements; it provides probabilistic forecasts for different time horizons and is particularly suitable for risk assessment associated to the management of smart grids. The numerical applications presented in this paper are performed using domestic load measurements taken from an Italian distribution system. The method was tested for different number of loads and time horizons of forecasts; in particular, 15-minutes and 24- to 48- hours lead times were considered. The performances of the proposed method are also evaluated by testing its reliability, sharpness and calibration.
A direct approach to sparse discriminant analysis in ultra-high dimensions

Sparse discriminant methods based on independence rules, such as the nearest shrunken centroids classifier (Tibshirani et al., 2002) and features annealed independence rules (Fan & Fan, 2008), have been proposed as computationally attractive tools for feature selection and classification with high-dimensional data. A fundamental drawback of these rules is that they ignore correlations among features and thus could produce misleading feature selection and inferior classification. We propose a new procedure for sparse discriminant analysis, motivated by the least squares formulation of linear discriminant analysis. To demonstrate our proposal, we study the numerical and theoretical properties of discriminant analysis constructed via lasso penalized least squares. Our theory shows that the method proposed can consistently identify the subset of discriminative features contributing to the Bayes rule and at the same time consistently estimate the Bayes classification direction, even when the dimension can grow faster than any polynomial order of the sample size. The theory allows for general dependence among features. Simulated and real data examples show that lassoed discriminant analysis compares favourably with other popular sparse discriminant proposals. Copyright 2012, Oxford University Press.
The impact of YouTube peer feedback on attitudes toward recovery from non-suicidal self-injury: An experimental pilot study

Background Non-suicidal self-injury (NSSI) is a serious public health concern facing adolescents and young adults worldwide. Despite growing concern that accessing NSSI content on the internet may negatively influence perceptions toward NSSI recovery, no studies have examined actual impacts. Objectives This experimental pilot study assessed the impact of exposure to hopeless versus hopeful peer messages on perceptions toward NSSI recovery. It was hypothesized that exposure to hopeless messages would lead to more negative perceptions about NSSI recovery whereas the opposite would occur for hopeful messages. Methods We developed fictional peer comments embedded in a screenshot of an NSSI-themed YouTube video and randomly assigned participants to either hopeless or hopeful recovery-oriented comments. Participants’ attitudes toward NSSI recovery, recovery-oriented subjective norms, and recovery self-efficacy were measured pre- and post-exposure using an online questionnaire. Results Sixty-one participants with a self-reported NSSI history (mean age 20.89 years) completed the online survey. There was a statistically significant effect for attitudes toward recovery. Within the hopeful comment condition, there was an increase in positive attitudes toward recovery and in recovery-oriented subjective norms. Participants exposed to hopeless peer messages did not report an increase in hopeless attitudes toward NSSI recovery. Conclusions Our pilot study indicated that exposure to hopeful online messages improved positive attitudes toward recovery and recovery-oriented subjective norms, while exposure to hopeless messages did not increase hopeless attitudes. Future research on the impacts of online peer comments on one’s attitude toward NSSI recovery and support-seeking behavior could further inform practices and policies.
The Protective Role of Type I Interferons in the Gastrointestinal Tract

The immune system of the gastrointestinal (GI) tract manages the significant task of recognizing and eliminating pathogens while maintaining tolerance of commensal bacteria. Dysregulation of this delicate balance can be detrimental, resulting in severe inflammation, intestinal injury, and cancer. Therefore, mechanisms to relay important signals regulating cell growth and immune reactivity must be in place to support GI homeostasis. Type I interferons (IFN-I) are a family of pleiotropic cytokines, which exert a wide range of biological effects including promotion of both pro- and anti-inflammatory activities. Using animal models of colitis, investigations into the regulation of intestinal epithelium inflammation highlight the role of IFN-I signaling during fine modulation of the immune system. The intestinal epithelium of the gut guides the immune system to differentiate between commensal and pathogenic microbiota, which relies on intimate links with the IFN-I signal-transduction pathway. The current paradigm depicts an IFN-I-induced antiproliferative state in the intestinal epithelium enabling cell differentiation, cell maturation, and proper intestinal barrier function, strongly supporting its role in maintaining baseline immune activity and clearance of damaged epithelia or pathogens. In this review, we will highlight the importance of IFN-I in intestinal homeostasis by discussing its function in inflammation, immunity, and cancer.
A synthesizable on-chip wormhole router

Multi-core may afford the computation capacity for the computation-intensive tasks, such as machine learning. In such a chip, the inter-cores communication is one of the greatest challenges. A synthesizable wormhole router was proposed for the emerging inter-cores communication scheme, i.e. network-on-chip (NoC). The proposed router not only offers common configurable parameters including buffers, virtual-channels and routing algorithms, but also has its inner-pipeline parameterized. The pipeline may be organized as the conventional 3-stage one, 4-stage one or the in-house 5-stage one. The 5-stage pipelining scheme is a variation of the 4-stage one, but has the longest stage for virtual-channel allocation in the ancestor split into two stages. Then it may achieve higher maximum frequency. The packet latency in a wormhole-switch network was decomposed, and the impact from pipelining scheme and the number of virtual-channels was evaluated. A principle was proposed for on-chip router design, which arouses higher frequency for more performance and less packet latency.
A Pilot Gender Study of the Danish Parliament Corpus

This paper describes a pilot analysis of gender differences in the revised transcripts of speeches from the sittings in the Danish Parliament in the period from 2009 to 2017. Information about the number and duration of the speeches, the gender, age, party, and role in the party was automatically extracted from the transcripts and from other data on the Danish Parliament web site. The analysis shows statistically significant differences in the number and duration of the speeches by male and female MPs, and we also found differences in speech frequency with respect to the age of the MPs. Our analysis confirms previous studies on parliamentary data in other countries showing that the role of the MPs in their party influences their participation in the debates. Furthermore, we found that female ministers were speaking more in the period with a female prime minister than they did under a male prime minister. In the future, we will determine the statistical significance of the various parameters we have analysed in this paper and automatically extract linguistic information which can further determine differences between male and female MPs of different age and from different parties.
Design, Construction, Expression and Purification of the Gene Encoding Chimeric Cfae, Cotd Protein, from Enterotoxigenic Escherichia Coli

1. Department of Genetics, Faculty of Basic Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran. 2. Applied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran. 3. Department of Genetics and Biotechnology, School of Biological Science, Varamin-Pishva Branch, Islamic Azad University, Varamin, Iran.
Flow-driven ambient guidance

Effectively guiding people in complex and highly dynamic work environment requires advances in high-level declarative activity models that can describe the flow of human work activities and their intended outcomes, as well as novel user interface models for distributing guidance information across time and space. This paper describes a new line of research aimed at developing a new programming and human interface approach for pervasive systems based on high-level models of human activities, so-called situated flows, and mobile projector interfaces for uncovering task information embedded in physical environments.
Black Teachers’ Retention and Transfer Patterns in North Carolina: How Do Patterns Vary by Teacher Effectiveness, Subject, and School Conditions?

Despite public interest and government action toward diversifying the teaching workforce in U.S. public schools, our knowledge about the retention and transfer patterns of Black teachers lacks specificity and clarity. In this study, I find that Black teachers’ annual retention rate was about 4 percentage points lower than that of White teachers in North Carolina elementary and secondary schools from 2004 to 2015. This Black-White teacher retention gap can largely be explained by Black teachers’ experience and education and the challenging school and community contexts in which these teachers worked. Compared with White teachers who had similar professional attributes and worked in similar school settings, Black teachers were more likely to stay in schools serving a larger proportion of Black students and to move to a school that served a higher proportion of Black students. The marginal probability of Black teachers’ retention received an additional boost with an increase in teachers’ observational ratings and math value-added scores. Stronger school leadership and higher-quality professional development predict a higher retention rate of more effective Black teachers.
Malware Analysis on the Cloud : Increased Performance , Reliability , and Flexibility

Malware has become an increasingly prevalent problem plaguing the Internet and computing communities. According to the 2012 Verizon Data Breach Investigations Report, there were 855 incidents of breach reported in 2011 with a massive 174 million records compromised in the process; 69% of those breaches incorporated malware in them some way, which was 20% higher than those breaches that used malware in 2010. Clearly, the need to effectively and efficiently analyze malware is needed. Unfortunately, there are two major problems with malware analysis; Malware analysis is incredibly resource intensive to deploy en masse, and it tends to be highly customized requiring extensive configuration to create, control, and modify an effective lab environment. This work attempts to address both concerns by providing an easily deployable, extensible, modifiable, and open-source framework to be deployed in a private-cloud based research environment for malware analysis. Our framework is written in Python and is based on the Xen Cloud Platform. It utilizes the Xen API allowing for automated deployment of virtual machines, coordination of host machines, and overall optimization of resources available. Each part of the malware analysis process can be identified as a discrete component and this fact is heavily relied upon. Additional functionality and modifications are completed through the use of custom modules. We have created a sample implementation that includes basic modules for each step of the analysis process, including traditional anti-virus checks, dynamic analysis, tool output aggregation, and classification. Each of these modules can be expanded, disabled, or completely replaced. We show, through the use of our sample implementation, an increase in the performance, reliability, and flexibility compared to an equivalent lab environment created without the use of our framework.
Effects of Adipocyte Aryl Hydrocarbon Receptor Deficiency on PCB-Induced Disruption of Glucose Homeostasis in Lean and Obese Mice

Background Coplanar polychlorinated biphenyls (PCBs) promote adipocyte inflammation and impair glucose homeostasis in lean mice. The diabetes-promoting effects of lipophilic PCBs have been observed only during weight loss in obese mice. The molecular mechanisms linking PCB exposures to impaired glucose metabolism are unclear. Objectives In this study we tested the hypothesis that coplanar PCBs act at adipocyte aryl hydrocarbon receptors (AhRs) to promote adipose inflammation and impair glucose homeostasis in lean mice and in obese mice during weight loss. Methods and Results PCB-77 administration impaired glucose and insulin tolerance in LF (low fat diet)–fed control (AhRfl/fl) mice but not in adipocyte AhR–deficient mice (AhRAdQ). Unexpectedly, AhRAdQ mice exhibited increased fat mass when fed a standard LF or high fat (HF) diet. In mice fed a HF diet, both genotypes became obese, but AhRAdQ mice administered vehicle (VEH) exhibited increased body weight, adipose mass, adipose inflammation, and impaired glucose tolerance compared with AhRfl/fl controls. Impairment of glucose homeostasis in response to PCB-77 was not observed in obese mice of either genotype. However, upon weight loss, AhRfl/fl mice administered PCB-77 exhibited increased abundance of adipose tumor necrosis factor-α (TNF-α) mRNA and impaired glucose homeostasis compared with those administered VEH. In contrast, PCB-77 had no effect on TNF-α or glucose homeostasis in AhRAdQ mice exhibiting weight loss. Conclusions Our results demonstrate that adipocyte AhR mediates PCB-induced adipose inflammation and impairment of glucose homeostasis in mice. Moreover, deficiency of AhR in adipocytes augmented the development of obesity, indicating that endogenous ligand(s) for AhR regulate adipose homeostasis. Citation Baker NA, Shoemaker R, English V, Larian N, Sunkara M, Morris AJ, Walker M, Yiannikouris F, Cassis LA. 2015. Effects of adipocyte aryl hydrocarbon receptor deficiency on PCB-induced disruption of glucose homeostasis in lean and obese mice. Environ Health Perspect 123:944–950; http://dx.doi. org/10.1289/ehp.1408594
DoS-Resilient Authenticated Key Agreement Scheme between Actor and Sensor nodes in Wireless Sensor and Actor Network

In this paper, we address the Authenticated Key Agreement(AKA) between actor and sensor nodes in Wireless Sensor and Actor Network (WSAN). We propose DoS-resilient AKA scheme between Actor and Sensor nodes in WSAN. The proposed scheme utilizes the IDbased cyrptosystem to reduce a need to transmit public-key certificates. The proposed scheme is resilient against the Denial of Service (DoS) attacks which are identified in [13] by using the geographic information of sensor nodes as their identity information. The proposed scheme also considers the asymmetric resources of actor and sensor nodes. We then analyze the security of the proposed scheme and then discuss the performance of the proposed scheme.
Coinductive Techniques in Infinitary Lambda-Calculus

The main aim of this paper is to promote a certain style of doing coinductive proofs, similar to inductive proofs as commonly done by mathematicians. For this purpose we provide a reasonably direct justification for coinductive proofs written in this style, i.e., converting a coinductive proof into a non-coinductive argument is purely a matter of routine. Our main interest is in applying this coinductive style of arguments in infinitary lambda-calculus. In the second part of the paper we present a new coinductive proof of confluence of B\"ohm reduction in infinitary lambda-calculus. The proof is simpler than previous proofs of this result. The technique of the proof is new, i.e., it is not merely a coinductive reformulation of any earlier proofs.
Hypermodelling Introducing Multi-dimensional Concern Reverse Engineering

In data warehouse systems you search for all items that have a desired combination of features, called dimensions. Similar to features of an item, concerns of software are scattered throughout a software system. So, a developer might ask the following questions: Which modules are belonging to a concern? Which concerns are appearing in a package? In this paper, we introduce multi-dimensional concern reverse engineering supported by Data Warehouse technology. This approach enables to search for code fragments like it can be done for artifacts in the warehouse. We show that a transformation process from source code to the Data Warehouse is possible. Consequently, a developer can fasten up searches and perform source code analysis more easily.
Any-language frame-semantic parsing

We present a multilingual corpus of Wikipedia and Twitter texts annotated with FRAMENET 1.5 semantic frames in nine different languages, as well as a novel technique for weakly supervised cross-lingual frame-semantic parsing. Our approach only assumes the existence of linked, comparable source and target language corpora (e.g., Wikipedia) and a bilingual dictionary (e.g., Wiktionary or BABELNET). Our approach uses a truly interlingual representation, enabling us to use the same model across all nine languages. We present average error reductions over running a state-of-the-art parser on word-to-word translations of 46% for target identification, 37% for frame identification, and 14% for argument identification.
4G WiMax network for smart-Sidi Bouzid area communication

4G WiMax offers a new parading regards to the way that the traditional wireless network systems have been designed all this happens due to the impact generating by technology in society and its impact in environmental ambient intelligence such smart cities (Sidi Bouzid area). the fundamental technological advantages of 4G WiMax superior radio technological advantages of 4G WiMax superior radio technology built in QOS and security, and an open IP-based access network infrastructure. This technology can be used for a number of applications, including “last mile” broadband connections, hotsposts and high speed connectivity for business customers. The objective of this article is to propose an approach to design a network on the latest standard of WiMax namely (802.16m), and to use it dimensioning and planning such network in Sidi-Bouzid area in order to optimize interferences, noise and to avoide cutout. In this article review of WiMax technology was given, followed by its standard with focusing on 802.16m standard. A design approach was developed to help network planner in their work to achieve the smart city in Sidi Bouzid of communications, this approach was summarized in a simple flow chart. As a case study, a network based on this technology was designed for Sidi Bouzid area. The number of subscriber was calculated for each district area and plotted in a clutter map. The Building Penetration Losses for each type of area were modeled using several measurements conducted as a part of this work, in fact we tried to minimize the noise and evry kind of interference. The design outcome (number of base station and there distribution) where found less than the existing ones in the operating network.
Identification and Management of Pests and Diseases of Garden Crops in Santa, Cameroon

Aims: This work sought to identify the pests and diseases that hinder successful gardening and the pesticides used to manage these pests and their frequencies of application. Place and Duration of Study: This work was carried out in the Santa Area of the North West Region of Cameroon. It was conducted from June 2013 to February 2014. Methodology: The study was carried out on six farms in Santa, a Sub-division in Mezam Division of the North West Region of Cameroon. On each of these farms, an area of 20 x 20 m was mapped and the plants therein observed. Insect pests, diseases and the pesticides used for their mitigation were identified at each growth stage. Results: The main diseases identified were clubroot (Plasmodiophora brassicae) and late blight (Phythophthora infestans) while Aphids (Myzus persicae S.), whiteflies (Bemisia tabaci) fruit worms (Helicoverpa amigera), Cutworms, fruitfly (Dacus punctatifrons) and grasshoppers (Zonocerus variegatus) were the prominent insect pests. The most applied pesticides were Cypermethrine and Dimethoate against insects, and Mancozeb and Maneb against fungi. Conclusion: From this study the most prominent pest of cabbage was the black cutworm (Agrotis ipsilon), which affected the early growing stage. The main disease that affected tomato was blight, seen in both seasons but its severity was greater in the rainy season. Insect pests were a major problem in the dry season causing high economic losses than in the wet season.