ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
CpxAR of Actinobacillus pleuropneumoniae Contributes to Heat Stress Response by Repressing Expression of Type IV Pilus Gene apfA

Acute pleuropneumonia in swine, caused by Actinobacillus pleuropneumoniae, is characterized by a high and sustained fever. Fever creates an adverse environment for many bacteria, leading to reduced bacterial proliferation; however, most pathogenic bacteria can tolerate higher temperatures. CpxAR is a two-component regulation system, ubiquitous among Gram-negative bacteria, which senses and responds to envelope alterations that are mostly associated with protein misfolding in the periplasm. Our previous study showed that CpxAR is necessary for the optimal growth of Actinobacillus pleuropneumoniae under heat stress. Here, we showed that mutation of the type IV pilin gene apfA rescued the growth defect of the cpxAR deletion strain under heat stress. RNA sequencing (RNA-seq) analyses revealed that 265 genes were differentially expressed in the ΔcpxAR strains grown at 42°C, including genes involved in type IV pilus biosynthesis. We also demonstrated direct binding of the CpxR protein to the promoter of the apf operon by an electrophoretic mobility shift assay and identified the binding site by a DNase I footprinting assay. In conclusion, our results revealed the important role of CpxAR in A. pleuropneumoniae resistance to heat stress by directly suppressing the expression of ApfA. IMPORTANCE Heat acts as a danger signal for pathogens, especially those infecting mammalian hosts in whom fever indicates infection. However, some bacteria have evolved exquisite mechanisms to survive under heat stress. Studying the mechanism of resistance to heat stress is crucial to understanding the pathogenesis of A. pleuropneumoniae during the acute stage of infection. Our study revealed that CpxAR plays an important role in A. pleuropneumoniae resistance to heat stress by directly suppressing expression of the type IV pilin protein ApfA.
New evidence of Palaeolithic rock art at the Cova del Comte (Pedreguer, Spain): Results of the first surveys

In the Mediterranean watershed of the Iberian Peninsula, Palaeolithic rock art remains a rare phenomenon. Thanks to the discovery of the Cova del Comte, where the art is accompanied by an archaeological deposit, we are able to study it within a defined chronological context. The stylistic features of some of the figures correspond to ancient pre-Magdalenian art, which places it within the Gravettian and early Solutrean period; this information is consistent with the results of the excavation. (C) 2016 Elsevier Ltd and INQUA. All rights reserved.
Modified quality video: transmission control protocol (TCP) friendly for controlling a congestion

Real-time data transmission through telepresence surgery consideration as an important issue due to using low video quality transmission techniques for transferring video data. Many types of research have been conducted on real-time video transmission but very few have been focused on surgical telepresence and improving video quality during the surgery. The main aim of this research is used to improve the video quality by improving the path quality which the video data is transferred. The proposed system consists of a Transmission Control Protocol (TCP) Friendly for controlling congestion while selecting the best quality of path for transmitting the video data. It selects the best quality of path that is less likely to be affected by network impairments and provides a higher priority to the TCP friendly packets than the non-TCP friendly packets. Results for the end video quality has been improved by 4.2 dB compared to the state of art based on path quality, PSNR and Packet Traffic are based on congestion and also the processing time has been improved by 9 similar to 13 Frames per Second on average against 5 similar to 9 Frames per Second of the state of art. The proposed system makes sure that the packets are sent through the best path and that is done by giving the TCP friendly packets higher priority than non-TCP friendly packets, also considers the available bandwidth, loss rates and other parameters that are utilized in other systems. In addition to the state of art, it adds congestion factor and makes sure that only the path with minimum distortion was used to send maximum data so that the receiver site can handle the transmitted data.
HpaP divergently regulates the expression of hrp genes in Xanthomonas oryzae pathovars oryzae and oryzicola

The bacterial pathogens Xanthomonas oryzae pathovars oryzae (Xoo) and oryzicola (Xoc) cause leaf blight and leaf streak diseases on rice, respectively. Pathogenesis is largely defined by the virulence genes harboured in the pathogen genome. Recently, we demonstrated that the protein HpaP of the crucifer pathogen Xanthomonas campestris pv. campestris is an enzyme with both ATPase and phosphatase activities, and is involved in regulating the synthesis of virulence factors and the induction of the hypersensitive response (HR). In this study, we investigated the role of HpaP homologues in Xoo and Xoc. We showed that HpaP is required for full virulence of Xoo and Xoc. Deletion of hpaP in Xoo and Xoc led to a reduction in virulence and alteration in the production of virulence factors, including extracellular polysaccharide and cell motility. Comparative transcriptomics and reverse transcription-quantitative PCR assays revealed that in XVM2 medium, a mimic medium of the plant environment, the expression levels of hrp genes (for HR and pathogenicity) were enhanced in the Xoo hpaP deletion mutant compared to the wild type. By contrast, in the same growth conditions, hrp gene expression was decreased in the Xoc hpaP deletion mutant compared to the wild type. However, an opposite expression pattern was observed when the pathogens grew in planta, where the expression of hrp genes was reduced in the Xoo hpaP mutant but increased in the Xoc hpaP mutant. These findings indicate that HpaP plays a divergent role in Xoo and Xoc, which may lead to the different infection strategies employed by these two pathogens.
A CPW-fed broadband slot antenna with linear taper

A new coplanar waveguide (CPW)-fed broadband printed slot antenna is presented. The impedance bandwidth is greatly increased by using a linear taper. The test antenna's impedance bandwidth of -10-dB return loss reaches 40% with low cross-polarization level. The impedance characteristics and radiation patterns of the slot antenna with different sizes of tapers art presented. The simulated results agree well with the measured ones. (C) 2004 Wiley Periodicals, Inc.
Community dynamics of subgingival microbiome in periodontitis and targets for microbiome modulation therapy

The microbial aetiology for periodontitis has been widely studied and deciphered for more than a century. The evolving and changing concepts about periodontal microbiology can be attributed to continuously developing laboratory techniques. The current sequencing platforms have not only expanded the catalog of periodontal pathogens but have also facilitated the understanding of functional interactions of the ecological framework. However, the translation of this new knowledge to advance periodontal therapeutics is minimal. We contend that novel clinical interventions directed beyond conventional therapies need to be emphasized. A clear understanding of the structural and functional dynamics of subgingival microbiota is a pre-requisite for developing any microbiome-based interventions for applications in periodontal health care. In this review, we discuss the 16 s-rRNA gene sequencing-based knowledge of the subgingival microbial community structure, its interactions and functions, and our perspective on the potential to engineer it for periodontal therapeutics. Harnessing this next-generation sequencing-based knowledge, microbiome modulation therapies are poised to change microbiome therapeutics' face.
Technological Issues and Industrial Application of Matrix Converters: A Review

This paper presents a review of the current state of the art in terms of practical matrix converter technologies. Present solutions to the numerous technological issues and challenges faced when implementing viable matrix converters are discussed. The reported use of the matrix converters in different applications is also presented together with a review of current industrial applications.
Elemental fingerprinting of Kenya Rift Valley ochre deposits for provenance studies of rock art and archaeological pigments

The Kenya Rift Valley contains many ochre sources that are currently used by indigenous peoples for adornment, rituals, and art. Ochre pigments occur in rock art and archaeological sites spanning over 250,000 years. Chemical analysis for provenience of geological sources is the first step in the process of reconstructing provenance of archaeological artifacts for cultural heritage, archaeological, and paleo-anthropological research. Development of an ochre source chemical composition database can facilitate reconstruction of social interaction networks and cultural heritage conservation efforts in this region. Techniques such as Laser Ablation-Inductively Coupled Plasma Mass Spectrometry (LA-ICPMS) and Instrumental Neutron Activation Analysis (INAA) are often used for compositional analysis and sourcing of ferruginous mineral pigments. Sourcing has proven challenging due to the diverse range of rocks and minerals that are classified as red and yellow ochres, and the diverse processes that induce variation in composition, including modes of formation, sedimentary transport of parent materials, and diagenesis. Attribution of samples to specific sources is possible only when variation within sources is less than differences between sources (the Provenience Postulate). Here we present the results of a study using LA-ICPMS to determine inter-and intra-source geochemical variations for ten ochre sources associated with three large volcanic centers in the central Rift Valley of Kenya. Our results show that differences in chemical composition among sources are greater than variation within sources, both at the scale of large volcanic centers and of individual ochre outcrops within these centers. Clear differentiation of source chemical fingerprints at local and regional scales satisfies the Provenience Postulate, and suggests that provenance studies of ochre artifacts, residues, and rock art in Kenya will be feasible. (C) 2016 Elsevier Ltd and INQUA. All rights reserved.
Accurate Light Field Depth Estimation With Superpixel Regularization Over Partially Occluded Regions

Depth estimation is a fundamental problem for light field photography applications. Numerous methods have been proposed in recent years, which either focus on crafting cost terms for more robust matching, or on analyzing the geometry of scene structures embedded in the epipolar-plane images. Significant improvements have been made in terms of overall depth estimation error; however, current state-of-the-art methods still show limitations in handling intricate occluding structures and complex scenes with multiple occlusions. To address these challenging issues, we propose a very effective depth estimation framework which focuses on regularizing the initial label confidence map and edge strength weights. Specifically, we first detect partially occluded boundary regions (POBR) via superpixelbased regularization. Series of shrinkage/reinforcement operations are then applied on the label confidence map and edge strength weights over the POBR. We show that after weight manipulations, even a low-complexity weighted least squares model can produce much better depth estimation than the stateof- the-art methods in terms of average disparity error rate, occlusion boundary precision-recall rate, and the preservation of intricate visual features.
The influence of context representations on cognitive control states

Cognitive control operates via two distinct mechanisms, proactive and reactive control. These control states are engaged differentially, depending on a number of within-subject factors, but also between-group variables. While research has begun to explore if shifts in control can be experimentally modulated, little is known about whether context impacts which control state is utilized. Thus, we test if contextual factors temporarily bias the use of a particular control state long enough to impact performance on a subsequent task. Our methodology involves two parts: first participants are exposed to a context manipulation designed to promote proactive or reactive processing through amount or availability of advanced preparation within a task-switching paradigm. Then, they complete an AX-CPT task, where we assess immediate transfer on preferential adoption of one control mode over another. We present results from a Pilot Study that revealed anecdotal evidence of proactive versus reactive processing for a context manipulation using long and short preparation times. We also present data from a follow-up Registered Experiment that implements a context manipulation using long or no preparation times to assess if a more extreme context leads to pronounced differences on AX-CPT performance. Together, the results suggest that contextual representations do not impact the engagement of a particular control state, but rather, there is a general preference for the engagement of proactive control.
Capacity utilization based on contention window management in mobile ad hoc network

A major challenge to the mobile ad hoc network (MANET) is the ability to efficiently utilize the available capacity. The exposed terminal problem (ETP) and the hidden terminal problem (HTP) are considered as major concerns in the media access control (MAC) layers of MANET. During transmission, there is an increase in energy consumption, unnecessary delay, overhead, and the number of retransmission due to the request to send (RTS) packet collision. To eliminate these problems, we have developed an algorithm called receiver collision sensing scheme in multiple access control (RCSS-MAC) for collisions detection by the receiver. This method uses appeal for RTS (ARTS) packet to detect unsuccessful RTS packet. Here, we use only the minimal number of ARTS to reduce unnecessary retransmission, delay, and RTS collision. The performance of this method can be improved using the contention window (CW) management scheme to reset and renovate the failed system. In RCSS-MAC, an additional field (victory rate) in MAC frame is utilized to control the CW management to reflect the network condition in and around the receiver. Simulation is carried out under the open-source second version of the network simulator (NS2). As a result, RCSS-MAC algorithm achieves better performance than conventional techniques in terms of delay, throughput, and energy consumption and network lifetime.
Visual tracking using objectness-bounding box regression and correlation filters

Visual tracking is a fundamental problem in computer vision with extensive application domains in surveillance and intelligent systems. Recently, correlation filter-based tracking methods have shown a great achievement in terms of robustness, accuracy, and speed. However, such methods have a problem of dealing with fast motion (FM), motion blur (MB), illumination variation (IV), and drifting caused by occlusion (OCC). To solve this problem, a tracking method that integrates objectness-bounding box regression (O-BBR) model and a scheme based on kernelized correlation filter (KCF) is proposed. The scheme based on KCF is used to improve the tracking performance of FM and MB. For handling drift problem caused by OCC and IV, we propose objectness proposals trained in bounding box regression as prior knowledge to provide candidates and background suppression. Finally, scheme KCF as a base tracker and O-BBR are fused to obtain a state of a target object. Extensive experimental comparisons of the developed tracking method with other state-of-the-art trackers are performed on some of the challenging video sequences. Experimental comparison results show that our proposed tracking method outperforms other state-of-the-art tracking methods in terms of effectiveness, accuracy, and robustness. (c) 2018 SPIE and IS&T
Weighted cylindric partitions

Recently Corteel and Welsh outlined a technique for finding new sum-product identities by using functional relations between generating functions for cylindric partitions and a theorem of Borodin. Here, we extend this framework to include very general product-sides coming from work of Han and Xiong. In doing so, we are led to consider structures such as weighted cylindric partitions, symmetric cylindric partitions and weighted skew double-shifted plane partitions. We prove some new identities and obtain new proofs of known identities, including the Göllnitz-Gordon and Little Göllnitz identities as well as some beautiful Schmidt-type identities of Andrews and Paule.
Engineering of tetanus toxoid-loaded polymeric microneedle patches

This study is aimed to fabricate tetanus toxoid laden microneedle patches by using a polymeric blend comprising of polyvinyl pyrrolidone and sodium carboxymethyl cellulose as base materials and sorbitol as a plasticizer. The tetanus toxoid was mixed with polymeric blend and patches were prepared by using vacuum micromolding technique. Microneedle patches were evaluated for physical attributes such as uniformity of thickness, folding endurance, and swelling profile. Morphological features were assessed by optical and scanning electron microscopy. In vitro performance of fabricated patches was studied by using bicinchoninic acid assay (BCA). Insertion ability of microstructures was studied in vitro on model skin parafilm and in vivo in albino rat. In vivo immunogenic activity of the formulation was assessed by recording immunoglobulin G (IgG) levels, interferon gamma (IFN-γ) levels, and T-cell (CD4+ and CD8+) count following the application of dosage forms. Prepared patches, displaying sharp-tipped and smooth-surfaced microstructures, remained intact after 350 ± 36 foldings. Optimized microneedle patch formulation showed ~ 74% swelling and ~ 85.6% vaccine release within an hour. The microneedles successfully pierced parafilm. Histological examination of microneedle-treated rat skin confirmed disruption of epidermis without damaging the underneath vasculature. A significant increase in IgG levels (~ 21%), IFN-γ levels (~ 30%), CD4+ (~ 41.5%), and CD8+ (~ 48.5%) cell count was observed in tetanus vaccine-loaded microneedle patches treated albino rats with respect to control (untreated) group at 42nd day of immunization. In conclusion, tetanus toxoid-loaded microneedle patches can be considered as an efficient choice for transdermal delivery of vaccine without inducing pain commonly experienced with hypodermic needles.
The Pivotal Role of Neuropeptide Crosstalk from Ventromedial-PACAP to Dorsomedial-Galanin in the Appetite Regulation in the Mouse Hypothalamus

We have previously shown that pituitary adenylate cyclase-activating polypeptide (PACAP) in the ventromedial hypothalamus (VMH) enhances feeding during the dark cycle and after fasting, and inhibits feeding during the light cycle. On the other hand, galanin is highly expressed in the hypothalamus and has been reported to be involved in feeding regulation. In this study, we investigated the involvement of the VMH-PACAP to the dorsomedial hypothalamus (DMH)-galanin signaling in the regulation of feeding. Galanin expression in the hypothalamus was significantly increased with fasting, but this increment was canceled in PACAP-knockout (KO) mice. Furthermore, overexpression of PACAP in the VMH increased the expression of galanin, while knockdown (KD) of PACAP in the VMH decreased the expression of galanin, indicating that the expression of galanin in the hypothalamus might be regulated by PACAP in the VMH. Therefore, we expressed the synaptophysin-EGFP fusion protein (SypEGFP) in PACAP neurons in the VMH and visualized the neural projection to the hypothalamic region where galanin was highly expressed. A strong synaptophysin-EGFP signal was observed in the DMH, indicating that PACAP-expressing cells of the VMH projected to the DMH. Furthermore, galanin immunostaining in the DMH showed that galanin expression was weak in PACAP-KO mice. When galanin in the DMH was knocked down, food intake during the dark cycle and after fasting was decreased, and food intake during the light cycle was increased, as in PACAP-KO mice. These results indicated that galanin in the DMH may regulate the feeding downstream of PACAP in the VMH.
Why Is Multiclass Classification Hard?

In classification problems, as the number of classes increases, correctly classifying a new instance into one of them is assumed to be more challenging than making the same decision in the presence of fewer classes. The essence of the problem is that using the learning algorithm on each decision boundary individually is better than using the same learning algorithm on several of them simultaneously. However, why and when it happens is still not well-understood today. This work's main contribution is to introduce the concept of heterogeneity of decision boundaries as an explanation of this phenomenon. Based on the definition of heterogeneity of decision boundaries, we analyze and explain the differences in the performance of state of the art approaches to solve multi-class classification. We demonstrate that as the heterogeneity increases, the performances of all approaches, except one-vs-one, decrease. We show that by correctly encoding the knowledge of the heterogeneity of decision boundaries in a decomposition of the multi-class problem, we can obtain better results than state of the art decompositions. The benefits can be an increase in classification performance or a decrease in the time it takes to train and evaluate the models. We first provide intuitions and illustrate the effects of the heterogeneity of decision boundaries using synthetic datasets and a simplistic classifier. Then, we demonstrate how a real dataset exhibits these same principles, also under realistic learning algorithms. In this setting, we devise a method to quantify the heterogeneity of different decision boundaries, and use it to decompose the multi-class problem. The results show significant improvements over state-of-the-art decompositions that do not take the heterogeneity of decision boundaries into account.