Miracle-dz/UniFAR-FTUs huggingface dataset:
Mortality during Polymicrobial Sepsis Intestinal Barrier Dysfunction and Increased Cyclooxygenase-2 Deficiency Leads to

Sepsis remains the leading cause of death in critically ill patients, despite modern advances in critical care. Intestinal barrier dysfunction may lead to secondary bacterial translocation and the development of the multiple organ dysfunction syndrome during sepsis. Cyclooxygenase (COX)-2 is highly upregulated in the intestine during sepsis, and we hypothesized that it may be critical in the maintenance of intestinal epithelial barrier function during peritonitis-induced polymicrobial sepsis. COX-2 2 / 2 and COX-2 +/+ BALB/c mice underwent cecal ligation and puncture (CLP) or sham surgery. Mice chimeric for COX-2 were derived by bone marrow transplantation and underwent CLP. C2BBe1 cells, an intestinal epithelial cell line, were treated with the COX-2 inhibitor NS-398, PGD 2 , or vehicle and stimulated with cytokines. COX-2 2 / 2 mice developed exaggerated bacteremia and increased mortality compared with COX-2 +/+ mice following CLP. Mice chimeric for COX-2 exhibited the recipient phenotype, suggesting that epithelial COX-2 expression in the ileum attenuates bacteremia following CLP. Absence of COX-2 signiﬁcantly increased epithelial permeability of the ileum and reduced expression of the tight junction proteins zonula occludens-1, occludin, and claudin-1 in the ileum following CLP. Furthermore, PGD 2 attenuated cytokine-induced hyperpermeability and zonula occludens-1 downregulation in NS-398–treated C2BBe1 cells. Our ﬁndings reveal that absence of COX-2 is associated with enhanced intestinal epithelial permeability and leads to exaggerated bacterial translocation and increased mortality during peritonitis-induced sepsis. Taken together, our results suggest that epithelial expression of COX-2 in the ileum is a critical modulator of tight junction protein expression and intestinal barrier function during sepsis. The Journal of Immunology , 2011, 187: 000–000.
MACHINE LEARNING APPROACH TO DETECT ANDROID MALWARES

Mobile phone industry is growing at rapid speed . These mobile phones are running on diiferent platform such as JAVA, Android, IOS, Sysmbian and others. Out all these platforms Android cover maximum share amount Smartphone platform. Android platforms supports millions of applications that can be download from various repositories such as google play. These applications are installed and used. The applications present in these repository may be malicious which leady to security problems using these application. In this paper an effective approach has been proposed for detection of the malicious application based on the permission groups. In proposed work, binary classification of applications are carried out into two label i.e. Benign and malicious one. In this developed approach the distinguished features are evaluated and filtered out using features evaluation technique such as Information gain, Gain ratio, Gini Index, Chi-square test. Finally based on the features evaluated the classification is done using supervised machine learning techniques.
GALIS: A Genetic Algorithm for Inverse Scattering

This technical note is devoted to a new genetic algorithm developed in order to solve electromagnetic problems concerning the inverse scattering for one-dimensional permittivity range profile reconstruction. In the introduction, we shortly present the inverse scattering problem, the different approaches commonly adopted to face its mathematical intrinsic ill-posedness and our model for the interaction between plane waves and inhomogeneous media. Then, in the second part, we address the main properties and theoretical aspects of genetic algorithms and the operators involved in the evolutionary process. Finally, in the last section, we focus our attention on describing in detail the implementation in Fortran code of the mentioned operators and entities, the particular genetic strategies used and the results obtained.
Mutual Authentication Scheme for Lightweight IoT Devices

— Since the Internet of Things (IoT) network is a resource-limited and heterogeneous interconnection environment, lightweight security technology is required that takes into consideration various environmental features, such as computing power, memory capacity, battery power, and communication bandwidth. In this paper, we analyze the problems of the existing Datagram Transport Layer Security (DTLS) authentication protocol and simplify the handshaking procedure of this authentication process so that it is applicable to lightweight IoT devices with very limited resources.
Consistent Persistence of Context-Dependent Runtime Models

—Today’s complex software systems act in various situations and contexts and thus, have to adapt themselves correspond-ingly during runtime. To model and represent the underlying context-dependent domain knowledge, contextual modeling languages, such as the Compartment Role Object Model (CROM), can be employed. However, these models and their instances become unwieldy rather quickly and are subject to many adaptations. Especially, when persisting a runtime model of a self-adaptive system this becomes a huge performance bottleneck. Notably, though not all elements of a context-dependent domain model have to be persisted to save the overall state of the application. Yet, simply removing information can easily lead to inconsistent models and instances in the database. To remedy too much or too less data saving and maintain adaptation processes, the persistent elements of a context-dependent domain model have to be annotated, such that the persisted domain model and instance is consistent with the runtime domain model and instance. For our solution, we introduce a formal approach to derive a persistent CROM from an arbitrary CROM model with persistence annotations, such that the persistent CROM is well-formed and consistent to the domain model and instance at runtime. In conclusion, this will allow context-aware systems to persist partial runtime model instances of context-dependent domain models while guaranteeing their consistency and the automatic adaptation of the persistent model after adapting the domain model.
Clustering Algorithm Based Approach for Web Opinion Summarization

: The Internet has made the life of every web user simple and sophisticated. Recently people use the web for many reasons like entertainment, personal communication, general search, online shopping, etc. Internet also acts as a medium for exchanging resources and knowledge. As commercial review websites allow users to express their opinions in everything, the availability of reviews for specific property is also enormous. Hence it becomes difficult for the customers to make a decision from all the reviews. In this paper we propose a technique based on extraction to summarize the reviews to end user. Based on opinions mined it is decided whether to recommend the property to the end user or not. This paper principally focuses on providing a strategy for mining the opinions of the generic users. The results of the experiments performed were quite promising for the information set used.
of the role of craniofacial and upper sleep

Obstructive sleep apnea (OSA) is often confused with the clinical symptoms of other adult/pediatric medical conditions and neurological disorders. Since OSA affects all systems in the body, it is important to establish a correct diagnosis. The first step in the evaluation of a patient with a sleep disorder is to identify the primary symptom. A detailed history of the sleep and wakefulness cycles constitutes the second step. This is followed by the medical history of the patient; a list of previously used medications; family history; detailed information about school, work, family, and social life; and a physical exam of bodily systems. Relevant laboratory tests are performed for differential diagnosis. Polysomnography (PSG) is a golden standard diagnostic method that records electrophysiological signals used for sleep physiology and diseases. PSG is an indispensable method in the diagnosis of OSA.
with a Strictly Enteric Nematode ParasiteInfection Th2 and Type 2 Cells in Response to Systemic Dissemination and Persistence of

Oral infection with the nematode parasite Heligmosomoides polygyrus H. polygyrus is entirely restricted to the small intestine. Although the evoked Th2 response has been extensively studied in secondary lymphoid organs, little is known about the systemic dissemination of Th2 cells or type 2 associated eosinophils and basophils. In this study we use bicistronic 4get IL-4 reporter mice to directly visualize the type 2 response to H. polygyrus infection. We observed that CD4 (cid:1) /GFP (cid:1) Th2 cells spread systemically and found that these cells accumulated in nonlymphoid “hot spots” in the liver, the lung airways, and the peritoneal cavity. Interestingly, the total number of Th2 cells in the peritoneal cavity was comparable to those found in the draining mesenteric lymph node or the spleen. Peritoneal Th2 cells were distinguished by an exceptionally low apoptotic potential and high expression of the intestinal homing receptor (cid:2) 4 (cid:3) 7 integrin. CD4 (cid:1) /GFP (cid:1) Th2 cells from these peripheral sites were fully functional as indicated by rapid IL-4 production upon polyclonal or Ag-speciﬁc restimulation. Th2 cells persisted in the intestinal tissue and the peritoneal cavity of drug-cured mice for weeks. The presence of peripheral memory Th2 cells in the intestine might be crucial for immunity to recall infections. These ﬁndings have important implications for the design of vaccination strategies because it may be necessary to establish and maintain memory CD4 (cid:1) T cells at the potential future site of infection. The Journal of Immunology, 2005, 175: 5306–5313.
Real versus perceived evolution of the passing performance in players

Coaches were asked to judge the passing performance level of all tested players. Players and 8 coaches were also asked to judge potential improvements of players. Importantly, they were 9 both told that their judgments had to be based on a passing situation on the pitch, where a 10 particular player would have to pass the ball to a moving teammate running 5 to 10 meters 11 away from him (the closest situation to the passing test designed for the present study). The 12 following procedures were adapted from our previous study (see 1 for details) 13
A Panel of Artificial APCs Expressing Prevalent HLA Alleles Permits Generation of Cytotoxic T Cells Specific for Both Dominant and Subdominant Viral Epitopes for Adoptive Therapy1

Adoptive transfer of virus-specific T cells can treat infections complicating allogeneic hematopoietic cell transplants. However, autologous APCs are often limited in supply. In this study, we describe a panel of artificial APCs (AAPCs) consisting of murine 3T3 cells transduced to express human B7.1, ICAM-1, and LFA-3 that each stably express one of a series of six common HLA class I alleles. In comparative analyses, T cells sensitized with AAPCs expressing a shared HLA allele or autologous APCs loaded with a pool of 15-mer spanning the sequence of CMVpp65 produced similar yields of HLA-restricted CMVpp65-specific T cells; significantly higher yields could be achieved by sensitization with AAPCs transduced to express the CMVpp65 protein. T cells generated were CD8+, IFN-γ+, and exhibited HLA-restricted CMVpp65-specific cytotoxicity. T cells sensitized with either peptide-loaded or transduced AAPCs recognized epitopes presented by each HLA allele known to be immunogenic in humans. Sensitization with AAPCs also permitted expansion of IFN-γ+ cytotoxic effector cells against subdominant epitopes that were either absent or in low frequencies in T cells sensitized with autologous APCs. This replenishable panel of AAPCs can be used for immediate sensitization and expansion of virus-specific T cells of desired HLA restriction for adoptive immunotherapy. It may be of particular value for recipients of transplants from HLA-disparate donors.
TIMESCALES FOR SOUND-MOTION OBJECTS

There can be no doubt that Pierre Schaeffer was one of the most influential figures in 20th century European music, both as a composer of electroacoustic music and as the developer of a new and extensive theory of music. We are much in debt to his artistic and theoretical achievements, and in spite of more recent advances in music technology, we can still find his contributions highly relevant for music making. In particular, Schaeffer’s idea of sound objects as the basis for musical creation, perception, and music theory (Schaeffer 2017; Godøy 2021), was a remarkable change of paradigm inWestern musical thought, and this sound object paradigm is still highly relevant for music theory, as will be highlighted in this chapter. In brief, the sound object can be defined as a holistic mental image of a fragment of sound, typically in the approximately 0.5 to 5 seconds duration range, and the sound may be of any origin, vocal or instrumental, electronic or environmental, and from any musical culture. The focus on sound objects as the basis for both creation and theory, this chapter will argue, has the following advantages:
Fuzzy Weight Representation for Double Inner Dependence Structure in 4 Levels AHP

- The inner dependence Analytic Hierarchy Process (AHP) is useful for the cases in which criteria or/and alternatives are not independent enough and related to modeling and optimization. However, using the original AHP or inner dependence AHP may cause results that cannot have enough reliability because of the inconsistency of the comparison matrix as data. In such cases, fuzzy representation for weighting criteria or/and alternatives using results from sensitivity analysis is useful. In this research, we first define fuzzy local weights of criteria and alternatives. Moreover, via fuzzy sets, overall weights for double inner dependence structure AHP in 4 levels are obtained.
An empirical estimation of the opportunity cost of time for visitors to Gros Morne National Park.

In this paper we apply the individual travel cost method to estimate the value of trips to Gros Morne National Park. We use count data models that account not only for the truncated and overdispersed nature of the distribution of the dependent variable but also for endogenous strat-i(cid:133)cation due to the oversampling of avid users resulting form the on-site sampling. The focus is on the proper estimation of the opportunity cost of travel time as part of the overall cost of the trip. The fraction of hourly earnings that corresponds to the opportunity cost of travel time is endogenously estimated for each visitor as a function of visitor characteristics, rather than (cid:133)xed exogenously. The analysis reveals that in this application the relevant opportunity cost of time for most visitors represents a smaller fraction of their wage rate than what is commonly assumed in the literature.JELCODES: Q26 C24
The Central Region of Human T-Cell Leukemia Virus Type 1 Tax Protein Contains Distinct Domains Involved in Subunit Dimerization

The Tax protein of human T-cell leukemia virus type 1 (HTLV-1) can form homodimers. Tax dimerization contributes to optimal Tax activity involved in transactivation of the HTLV-1 promoter. The mechanisms used to form speciﬁc Tax dimers are poorly understood because the domains that mediate such interactions have not been clearly characterized. Here we have used different approaches (the two-hybrid assay in yeast, the glutathione S -transferase pull-down assay, and the Spot method) to study Tax-Tax interactions. Our results indicate that the integrity of the sequence of Tax, except for the last 16 amino acids (residues 338 to 353), is critical, suggesting that Tax dimerization is dictated more by secondary structure than by primary structure. We were, however, able to delimit a central region involved in Tax self-association that encompasses the residues 127 to 228. This region can be divided into three subdomains of dimerization: DD1 (residues 127 to 146), DD2 (residues 181 to 194), and DD3 (residues 213 to 228). Moreover, the Tax mutants M22 (T130A and L131S)
Healing process of venous ulcers of difficult healing in treatment with an Unna's boot*

Objective: to analyze the healing process of venous ul - cers treated with an Unna’s boot. Methods: longitudi nal study, prospective, with 14 individuals with chronic venous ulcers, followed at four different moments of time. Data collection was based on clinical and sociode mographic profile and clinical evaluation of the lesions. Data were analyzed using the Friedman test. Wilcoxon’s signed ranks test was used to compare means, and for multiple comparisons Bonferroni’s correction was used (p<0.05). Results: the Bonferroni post hoc test revealed a reduction in pain scores (p=0.038), amount of exudate (p=0.005) and dry border (p=0.044). Improvement in he - aling was observed by means of the Pressure Ulcer Scale for Healing (p=0.004) after use of the Unna boot between the first and fourth moments. Conclusion: there was a re duction in the Pressure Ulcer Scale for Healing indicators, pain, amount of exudate and dry border of the lesion in patients using Unna’s boot after four weeks. Contribu tions practice: the need to manage indicators such as Pressure Ulcer Scale for Healing classification, pain, amount of exudate, and dry border based on the Unna Boot is highlighted.
Mediating the Interaction between Human and Automation during the Arbitration Processes in Cooperative Guidance and Control of Highly Automated Vehicles: Base concept and First Study

With increasingly automated vehicles, the cooperation between the automation and the human becomes crucial. In cooperative guidance and control (CGC) of highly automated vehicles the questions arise how authority, responsibility and control are distributed between driver and automation, how this distribution is obtained and how different states like abilities, availabilities and modes are communicated between driver and automation. If two independently thinking entities start planning and acting together, the emergence of conflicts is inevitable. These conflicts can be solved by applying the method of arbitration. Arbitration works with different modalities as well as on different planning levels. To handle the complex interdependencies in human-automation interaction in the guidance and control of highly automated vehicles, an “interaction mediator” was designed to incorporate a framework of modules, which in turn are designed to be easily extendable. These modules are the “Mode Selection and Arbitration Unit”, enabling a proper distribution of responsibility depending on present abilities and availabilities, the “Manoeuvre Selection and Arbitration Unit”, the “Trajectory Adaption and Arbitration Unit”, and the “Coupling Valve” where control commands depending on the distribution of responsibility and control are coupled to one common control command for the entire ego-vehicle.
Using CFD-Based Virtual Sensor Data to Study the Structure of Air Flow behind A Porous Fence

— Physical experiments have difficulties to thoroughly investigate the full structure of air flow behind a porous fence. Physical measurement sensors have their limitations of data acquisitions in turbulent air flow. Computational Fluid Dynamics (CFD) technique provides an infinite number of virtual sensors that allows producing quantitative CFD-based virtual sensors data for users. In this paper, a 3D CFD model is assessed by the physical sensors data, and the simulation has provided comprehensive information for studying the structure of airflow in a 3D domain.
Financial development, income inequality, and institutional quality: A multi-dimensional analysis

Abstract Ambiguous impacts of financial development on income inequality in the literature imply that the impacts can be affected by other variables and may depend on different dimensions of financial development. This paper studies the effects of financial development with multi-dimensional analysis (financial depth, financial access, and financial efficiency) of two main categories (financial institutions and financial markets) and institutional quality on income inequality in 30 Asian countries in the period 2000–2019. Results show that the financial institutions development (FI), the financial institutions access (FIA), the financial institutions efficiency (FIE), and the financial markets access (FMA) reduce income inequality; but the overall financial development (OFD), the financial markets development (FM), the financial institutions depth (FID), and the financial markets depth (FMD) increase it. Notably, better institutional quality not only lessens income inequality but also moderates the effects of financial development on income inequality. Specifically, the improvement of institutional quality strengthens the beneficial effects of FI, FIA, FIE, and FMA on income inequality. Meanwhile, OFD, FM, FID, and FMD initially exacerbate income inequality until respective thresholds of institutional quality, and then beyond those levels of IQ, these indicators of financial development reduce income inequality. Results are robust with various estimators. These findings strongly support the importance of financial development with multi-dimensions and institutional reform in Asian countries as they have both direct and indirect impacts on income inequality through their mutual interactions.
Comprehensive evaluation of file systems robustness with SPIN model checking

In existing computer systems, file systems are indispensable for organizing user data and system codes. However, several studies have reported certain file system errors that cause significant data loss or system crashes. Most of these errors are due to external failures, such as an unexpected power outage. However, comprehensively evaluating file system robustness to detect these errors is challenging. The various types of file systems use different data structures and algorithms for various applications. Moreover, file system errors may be triggered by an unpredictable external condition. In addition, a file system works in an operating system's kernel layer as a passive module and runs in a multi‐thread mode, which makes file system testing time‐intensive. Furthermore, the large number of states in file systems leads to greedy checking, which results in a state explosion. In this study, we comprehensively evaluated the robustness expected in multiple properties of file systems using a model checking approach. The evaluation covered the majority of the mainstream file system types and included both single‐thread and multi‐thread modes. We developed Promela models that abstracted the real file systems and subsequently checked them using a SPIN model checker. Our model was optimized to avoid state explosion during model checking. Using the model checking, we successfully detected corner‐case errors during an unexpected power outage. By analysing counterexamples generated by model checking, we determined an improved file system model capable of preventing errors in most mainstream file system types. Finally, we rechecked the improved file system model and verified the absence of all critical errors.