Miracle-dz/UniFAR-FTUs huggingface dataset:
Chronic gastrointestinal inflammation induces anxiety-like behavior and alters central nervous system biochemistry in mice.

BACKGROUND & AIMS Clinical and preclinical studies have associated gastrointestinal inflammation and infection with altered behavior. We investigated whether chronic gut inflammation alters behavior and brain biochemistry and examined underlying mechanisms. METHODS AKR mice were infected with the noninvasive parasite Trichuris muris and given etanercept, budesonide, or specific probiotics. Subdiaphragmatic vagotomy was performed in a subgroup of mice before infection. Gastrointestinal inflammation was assessed by histology and quantification of myeloperoxidase activity. Serum proteins were measured by proteomic analysis, circulating cytokines were measured by fluorescence activated cell sorting array, and serum tryptophan and kynurenine were measured by liquid chromatography. Behavior was assessed using light/dark preference and step-down tests. In situ hybridization was used to assess brain-derived neurotrophic factor (BDNF) expression in the brain. RESULTS T muris caused mild to moderate colonic inflammation and anxiety-like behavior that was associated with decreased hippocampal BDNF messenger RNA (mRNA). Circulating tumor necrosis factor-α and interferon-γ, as well as the kynurenine and kynurenine/tryptophan ratio, were increased. Proteomic analysis showed altered levels of several proteins related to inflammation and neural function. Administration of etanercept, and to a lesser degree of budesonide, normalized behavior, reduced cytokine and kynurenine levels, but did not influence BDNF expression. The probiotic Bifidobacterium longum normalized behavior and BDNF mRNA but did not affect cytokine or kynurenine levels. Anxiety-like behavior was present in infected mice after vagotomy. CONCLUSIONS Chronic gastrointestinal inflammation induces anxiety-like behavior and alters central nervous system biochemistry, which can be normalized by inflammation-dependent and -independent mechanisms, neither of which requires the integrity of the vagus nerve.
Sub-Nyquist Cyclostationary Detection for Cognitive Radio

Cognitive radio requires efficient and reliable spectrum sensing of wideband signals. In order to cope with the sampling rate bottleneck, new sampling methods have been proposed that sample below the Nyquist rate. However, such techniques decrease the signal-to-noise ratio (SNR), deteriorating the performance of subsequent energy detection. Cyclostationary detection, which exploits the periodic property of communication signal statistics, absent in stationary noise, is a natural candidate for this setting. In this paper, we consider cyclic spectrum recovery from sub-Nyquist samples, in order to achieve both efficiency and robustness to noise. To that end, we propose a structured compressed sensing algorithm, which extends orthogonal matching pursuit to account for the structure imposed by cyclostationarity. Next, we derive a lower bound on the sampling rate required for perfect cyclic spectrum recovery in the presence of stationary noise. In particular, we show that the cyclic spectrum can be reconstructed from samples obtained at $4/5$ of the Nyquist rate, without any sparsity constraints on the signal. If the signal of interest is sparse, then the sampling rate may be further reduced to $8/5$ of the Landau rate. Once the cyclic spectrum is recovered, we estimate the number of transmissions that compose the input signal, along with their carrier frequencies and bandwidths. Simulations show that cyclostationary detection outperforms energy detection in low SNRs in the sub-Nyquist regime. This was already known in the Nyquist regime, but is even more pronounced at sub-Nyquist sampling rates.
Benevolent Racism in an Adult Educator's Talk

As many parts of the United States experience high numbers of settlement by Latino families for the first time, reactions to these newcomers vary across communities and individuals. Social service professionals often serve as two-way cultural brokers; as front line staff that help newly arrived immigrants navigate U.S. health and educational systems as well as mediating voices for immigrants to non-immigrant community members. This article uses discourse analytic tools centered on the Bakhtinian concept of voice to analyze an interview with an adult educator working with newcomers in one Pennsylvania suburb to reveal the range of voices she embodies and how these voices position Mexican immigrant women. I argue that this set of voices is reflective of benevolent racism, or a welcom ing attitude toward newcomers that frames them through a deficit lens that predominantly highlights what immigrants lack rather than their strengths and resources. This can have important repercussions on local reactions to immigrants, especially within these rapidly changing communities.
Low-complexity bit-parallel canonical and normal basis multipliers for a class of finite fields

We present a new low-complexity bit-parallel canonical basis multiplier for the field GF(2/sup m/) generated by an all-one-polynomial. The proposed canonical basis multiplier requires m/sup 2/-1 XOR gates and m/sup 2/ AND gates. We also extend this canonical basis multiplier to obtain a new bit-parallel normal basis multiplier.
DEFENSE MECHANISM FOR DDoS ATTACK THROUGH MACHINE LEARNING

There is a huge advancement in Computer networking in the past decade. But with the advancement, the threats to the computer networks are also increased. Today one of the biggest threats to the computer networks is the Distributed Denial of Service (DDoS) flooding attack. This paper emphasizes the application layer DDoS flooding attacks because these (layer seven) attacks are growing rapidly and becoming more severe problem. Many researchers used machine-learning techniques for intrusion detection, but some shows poor detection and some methods take more training time. From a survey, it is found that Naive Bayes (NB) algorithm provides faster learning/training speed than other machine learning algorithms. Also it has more accuracy in classification and detection of attack. So we are proposing a network intrusion detection system (IDS) which uses a machine learning approach with the help of NB algorithm.
The effects of multiplexing on a computer-communications system

A study is made of the way in which asynchronous time division multiplexing changes the stochastic nature of the arrival process from a user to the computer and, consequently, affects the performance of a time-shared computer-communications system. It is concluded that while, for certain values of system parameters, there is noticeable improvement in the performance of the computer (model), in the sense that time-shared scheduling delays are reduced, these improvements are offset by the transmission delays imposed by multiplexing so that there may be little or no change in the computer-communications system performance. Analytical and simulation results are based on the model of the computer-communications system being an M/D/1 queue (the multiplexor) in tandem with a single exponential server (the computer). Analytical results include a general description of the output process of an M/D/1 queue and the conditions under which this output process is approximately Poisson.
Thyroid Cancer: Risk-Stratified Management and Individualized Therapy

Thyroid cancer is the most common endocrine malignancy. Differentiated thyroid cancer (DTC) with the two subtypes, papillary thyroid cancer (PTC) and follicular thyroid cancer (FTC), is the most frequent subtype of thyroid cancer; more rare subtypes are medullary thyroid cancer (MTC) and anaplastic thyroid cancer (ATC). The incidence of DTC has increased rapidly in recent years due to the more frequent use of imaging methods such as ultrasound of the neck and fine-needle aspiration (FNA) of thyroid nodules. After total thyroidectomy and radioiodine treatment, DTC remains an indolent and curable disease in most patients, whereas the cure rate in MTC is lower and depends on early diagnosis. Most ATCs are incurable. In recent years, there has been great progress in identifying genetic changes in thyroid cancer, and genetic testing of FNA samples or blood samples provides useful information for clinical decision making. Tumor staging, either postoperatively or by imaging, and measuring the tumor markers thyroglobulin for DTC and calcitonin for MTC, allow for dynamic risk-adapted stratification for follow-up procedures. In advanced metastatic thyroid cancer, molecular targeted therapy using tyrosine kinase receptor inhibitors, including sorafenib, lenvantinib, vandetanib, and cabozantinib, helps control tumor progression and prolongs progression-free survival. Using a dynamic risk-stratified approach to manage thyroid cancer, the outcomes for most thyroid cancer patients are excellent compared with those for other cancers. The major challenge in the future is to identify high-risk patients and to treat and monitor them appropriately. Clin Cancer Res; 22(20); 5012–21. ©2016 AACR. See all articles in this CCR Focus section, “Endocrine Cancers: Revising Paradigms. ”
Hooft Anomaly Matching Conditions for Generalized Symmetries in 2 D

The ’t Hooft anomaly matching conditions are a standard tool to study and test nonperturbative issues in quantum field theory. We give a new, simple proof of the anomaly matching conditions in 2D Poincarè invariant theories. We consider the case of invariance under a large class of generalized symmetries, which include abelian and non-abelian internal symmetries, space-time symmetries generated by the stress tensor, and W -type of symmetries generated by higher spin currents.
Difference between in vivo and in vitro effects of propofol on defluorination and metabolic activities of hamster hepatic cytochrome P450-dependent mono-oxygenases.

We have compared the in vivo and in vitro effects of propofol on cytochrome P450-dependent monooxygenase activities in hamster liver microsomes. Propofol (Diprivan) 10 mg/100 g body weight was injected i.p. twice a day for 2 weeks to induce cytochrome P450 enzymes. Liver microsomes were prepared by differential centrifugation. Metabolism of the cytochrome P450-dependent mono-oxygenase system was evaluated by measuring aniline hydroxylation, benzphetamine demethylation and benzo(a)pyrene hydroxylation. Defluorination of enflurane was assayed by detecting free fluoride metabolites. At similar concentrations as in the in vivo group, propofol in vitro exhibited concentration-dependent inhibition of metabolism of benzphetamine and benzo(a)pyrene. Aniline hydroxylation and defluorination of enflurane were inhibited to 78% of control with propofol 0.25 mmol litre-1. In propofol-treated hamsters, there was only minimal inhibitory or inductive effects on either mono-oxygenase activities or capacity for defluorination. This difference between the in vitro and in vivo effects of propofol on cytochrome P450 mono-oxygenase activities emphasizes the need for care when comparing in vitro and clinical data.
Multiple intents re-ranking

One of the most fundamental problems in web search is how to re-rank result web pages based on user logs. Most traditional models for re-ranking assume each query has a single intent. That is, they assume all users formulating the same query have similar preferences over the result web pages. It is clear that this is not true for a large portion of queries as different users may have different preferences over the result web pages. Accordingly, a more accurate model should assume that queries have multiple intents. In this paper, we introduce the multiple intents re-ranking problem. This problem captures scenarios in which some user makes a query, and there is no information about its real search intent. In such cases, one would like to re-rank the search results in a way that minimizes the efforts of all users in finding their relevant web pages. More formally, the setting of this problem consists of various types of users, each of which interested in some subset of the search results. Moreover, each user type has a non-negative profile vector. Consider some ordering of the search results. This order sets a position for each search result, and induces a position vector of the results relevant to each user type. The overhead of a user type is the dot product of its profile vector and its induced position vector. The goal is to order the search results as to minimize the average overhead of the users. Our main result is an O(log r)-approximation algorithm for the problem, where r is the maximum number of search results that are relevant to any user type. The algorithm is based on a new technique, which we call harmonic interpolation. In addition, we consider two important special cases. The first case is when the profile vector of each user type is non-increasing. This case is a generalization of the well-known min-sum set cover problem. We extend the techniques of Feige, Lovasz and Tetali (Algorithmica '04), and present an algorithm achieving 4-approximation. The second case is when the profile vector of each user type is non-decreasing. This case generalizes the minimum latency set cover problem, introduced by Hassin and Levin (ESA '05). We devise an LP-based algorithm that attains 2-approximation for it.
Examining the differential aging of the ambient and focal visual systems: An approach using the peripheral detection task during simulated driving

The purpose of this project was to investigate the recently popular peripheral detection task (PDT) in an attempt to further understand the true nature of its diagnosticity. Rather than measuring attention in the traditional sense, an alternative approach was used which explains information processing in terms of two unique, yet non-exclusive visual systems; referred to as the “ambient and focal systems. ” The focal system is used for object identification while the ambient system is responsible for object localization and visuomotor functions. Ambient system abilities were operationalized by temporally modulating the signal strength of peripherally located LED targets in an attempt to test the recently suggested ambient insufficiency hypothesis for explaining age-related changes in visual system sensitivity. Sixteen young (M=23 years) and eighteen older (M=72 years) subjects were required to operate a simplistic driving simulator during conditions of varying workload and target location predictability while receiving targets of differing ambient ability (low, moderate, or high). Older subjects exhibited significantly lower PDT hit rates as a function of increasing simulator workload demands and decreasing target location predictability. However, the failure to observe any additional age-specific interactions with the ambience manipulation suggests that all subjects, regardless of age, were relying on top-down periodic scanning of the target area using focal vision to detect peripheral targets. These results bring into question the validity of the ambient insufficiency hypothesis. On the contrary, after reassigning the older group of subjects to performance-based groups, post hoc analyses revealed that those with poorer overall detection rates exhibited a decline in sensitivity for targets theoretically designed to maximally stimulate ambient system processing. In addition, those older subjects with better overall detection rates remained indistinguishable from those of the younger group. This suggests that a select group of senescent individuals in the current sample were no longer able to reliably capitalize on targets specifically designed to trigger preemptive, ambient processing. Such findings indicate a change in ambient system sensitivity for some, but perhaps not all aging persons; thereby providing preliminary support for the ambient insufficiency hypothesis.
Fusion of String-Matched Templates for Continuous Activity Recognition

This paper describes a new method for continuous activity recognition based on fusion of string-matched activity templates. The underlying segmentation and spotting approach is carried out on several symbol streams in parallel. These streams represent motion trajectories of body limbs in Cartesian space, acquired from body-worn inertial sensors. First results of our method in a highly complex real-world application are presented. 8 subjects performed 3800 activity instances of a checking procedure in car assembly adding up to 480 minutes of recordings. Selecting 6 activity classes with 468 occurrences for first investigations, we obtained an accuracy of up to 87% for the user-dependent case.
Clinical and socio demographic aspects of congestive heart failure patients at Kenyatta National Hospital, Nairobi.

OBJECTIVE To analyse the underlying aetiology, precipitating factors and certain socio-demographic determinants in patients admitted to Kenyatta National Hospital, Nairobi in congestive heart failure. DESIGN Cross sectional descriptive study. SUBJECT All patients aged thirteen years and above of either sex consecutively admitted with clinical diagnosis of congestive heart failure. SETTING Kenyatta National Hospital (KNH), a national referral hospital. PATIENT EVALUATION: Detailed history including socio-demographic characteristics and physical examination was done. Patients underwent haematological and biochemistry tests followed by a chest x-ray, ECG and 2D Echo-doppler examination. Blood culture sensitivity was done when clinically indicated. RESULTS Ninety one patients were studied, 44 males and 47 females. Almost 32% had rheumatic heart disease, 25.2% had cardiomyopathy, 17.6% hypertensive heart disease, 13.2% had pericardial disease while 2.2% had ischaemic heart disease. Three quarters of patients with hypertensive heart disease were above the age of 50 years, while 79% of patients with rheumatic heart disease were below the age of 30 years. Factors associated with patient deterioration leading to admission with congestive heart failure (CHF) included inadequate therapy (27.4%), arrhythmia (20.9%), respiratory infections (17.6%), anaemia (13.2%) and infective endocardiatis. Sixty two per cent of patients investigated were in New York Heart Association (NYHA) functional classification class IV, 31.9% in class III and 5.5% in class II. CONCLUSION Congestive heart failure constitutes 3.3% of all medical admissions at KNH. Rheumatic heart disease is the commonest cause of congestive heart failure in our set-up while inadequate therapy, arrhythmias and respiratory infections are the three major causes of decompensation in our patients with cardiac disease.
Preparation of Chlorpheniramine Maleate-loaded Alginate/Chitosan Particulate Systems by the Ionic Gelation Method for Taste Masking

Background: Chlorpheniramine maleate (CM) is widely used as an antihistaminic drug but it is very bitter and as yet no mouth dissolving/disintegrating taste-masked preparation that might be useful for pediatric and geriatric patients is available in the market. Objectives: The purpose of this research was to mask the bitter taste of CM by formulating microspheres of the taste-masked drug. Materials and Methods: This work was done to develop alginate/chitosan particles prepared by ionic gelation (Ca2+ and Al3+) for the CM release. The effect of different chitosan and Ca2+ concentrations on taste masking and the characteristics of the microspheres were investigated. Ca2+ and Al3+ alginates microspheres of CM were prepared using cross-linked insoluble complexes that precipitate, incorporating the drug. Formulations were characterized for particle size and shape, entrapment efficiency, fourier transform spectroscopy (FTIR), x-ray diffraction (XRD), and differential scanning calorimetry (DSC), bitter taste threshold and in vitro drug release in simulated gastrointestinal fluids. Results: FTIR, XRD and DSC demonstrated unstable characters of CM in the drug-loaded microspheres and revealed an amorphous form. Also, the peak of alginate microparticles (Ca2+ and Al3+ ions) in all formulations remained the same, with low intensity of spectrum. The results of DSC, X-ray diffraction and FTIR showed the presence of several CM chemical interactions with alginate and ions (Ca2+ and Al3+). The microsphere formulations showed desirable drug entrapment efficiencies (62.2-94.2%). Calcium/aluminum alginate retarded the release of CM at low pH = 1.2 and released the drug from microspheres slowly at pH = 6.8, simulating intestine pH. The drug release duration and the release kinetics were dependent on the nature of the polymers, the cation concentrations, and valences (Ca2+ and Al3+). The drug release rate was decreased by an increase in chitosan and cation concentrations. Conclusions: The results of the present study indicated that oral preparation of CM with an acceptable taste is feasible.
In situ localization of myosin and actin in dendritic spines with the immunogold technique

The in situ detection of macromolecules by means of immunoelectron microscopy provides information about their ultrastructural localization in cellular compartments. With this technique, we have demonstrated that the contractile proteins actin and myosin are both localized in dendritic spines at densities exceeding those of other neuronal compartments. Myosin was associated with actin filaments, with spine plasma membrane, and with membranes of the spine apparatus. Given the dynamic properties of actin and myosin, these data suggest that these proteins may be involved in the mechanism of synatpic plasticity in general and in morphometric change resulting from intense synaptic activation in particular.
Changing the Chevreul Illusion by a Background Luminance Ramp: Lateral Inhibition Fails at Its Traditional Stronghold - A Psychophysical Refutation

The Chevreul illusion is a well-known 19th century brightness illusion, comprising adjacent homogeneous grey bands of different luminance, which are perceived as inhomogeneous. It is generally explained by lateral inhibition, according to which brighter areas projected to the retina inhibit the sensitivity of neighbouring retinal areas. Lateral inhibition has been considered the foundation-stone of early vision for a century, upon which several computational models of brightness perception are built. One of the last strongholds of lateral inhibition is the Chevreul illusion, which is often illustrated even in current textbooks. Here we prove that lateral inhibition is insufficient to explain the Chevreul illusion. For this aim, we placed the Chevreul staircase in a luminance ramp background, which noticeably changed the illusion. In our psychophysical experiments, all 23 observers reported a strong illusion, when the direction of the ramp was identical to that of the staircase, and all reported homogeneous steps (no illusion) when its direction was the opposite. When the background of the staircase was uniform, 14 saw the illusion, and 9 saw no illusion. To see whether the change of the entire background area or that of the staircase boundary edges were more important, we placed another ramp around the staircase, whose direction was opposite to that of the original, larger ramp. The result is that though the inner ramp is rather narrow (mean = 0.51 deg, SD = 0.48 deg, N = 23), it still dominates perception. Since all conditions of the lateral inhibition account were untouched within the staircase, lateral inhibition fails to model these perceptual changes. Area ratios seem insignificant; the role of boundary edges seems crucial. We suggest that long range interactions between boundary edges and areas enclosed by them, such that diffusion-based models describe, provide a much more plausible account for these brightness phenomena, and local models are insufficient.