Miracle-dz/UniFAR-FTUs huggingface dataset:
Effective and efficient Semantic Table Interpretation using TableMiner+

This article introduces TableMiner+, a Semantic Table Interpretation method that annotates Web tables in a both effective and efficient way. Built on our previous work TableMiner, the extended version advances state-of-the-art in several ways. First, it improves annotation accuracy by making innovative use of various types of contextual information both inside and outside tables as features for inference. Second, it reduces computational overheads by adopting an incremental, bootstrapping approach that starts by creating preliminary and partial annotations of a table using ‘sample’ data in the table, then using the outcome as ‘seed’ to guide interpretation of remaining contents. This is then followed by a message passing process that iteratively refines results on the entire table to create the final optimal annotations. Third, it is able to handle all annotation tasks of Semantic Table Interpretation (e.g., annotating a column, or entity cells) while state-of-the-art methods are limited in different ways. We also compile the largest dataset known to date and extensively evaluate TableMiner+ against four baselines and two re-implemented (near-identical, as adaptations are needed due to the use of different knowledge bases) state-of-the-art methods. TableMiner+ consistently outperforms all models under all experimental settings. On the two most diverse datasets covering multiple domains and various table schemata, it achieves improvement in F1 by between 1 and 42 percentage points depending on specific annotation tasks. It also significantly reduces computational overheads in terms of wall-clock time when compared against classic methods that ‘exhaustively’ process the entire table content to build features for inference. As a concrete example, compared against a method based on joint inference implemented with parallel computation, the non-parallel implementation of TableMiner+ achieves significant improvement in learning accuracy and almost orders of magnitude of savings in wall-clock time.
Improved Security Levels of WLAN through DBSPS

Networks plays a vital role in the field of Information and Communication Technology (ICT). Security to the Wireless networks is a major challenge to the researchers and practitioners. Especially Wireless Local Area Networks are more prone to security threats. This work introduces a novel technique Double Bio-cryptic Security- aware Packet Scheduling (DBSPS) which strengthens security aspects in WLAN's. To strengthen the WLAN security, this work improved the security levels security through double Biometric image encryption. Simulations were performed on Thumb print, Iris, Palm print and Facial databases by using the Matlab and later DBSPS results were compared with the of present Enhanced Bio-Cryptic Security-aware Packet Scheduling (EBSPS) and Bio-Cryptic Security-aware Packet Scheduling (BSPS) algorithms. In order to achieve high Quality-of-Security (QoS) in WLAN, the EBSPS is replaced with the new DBSPS. This DBSPS Algorithm assures the finest performance in increasing the security level to the desirable Wireless Node (WN) applies Double Bio- cryptographic methods in every security level. Finally, simulation outcome proved that proposal mechanism DBSPS is performing well than existing techniques in terms of the security.
A study of tubercular lymphadenitis: a comparison of various laboratory diagnostic modalities with a special reference to tubercular polymerase chain reaction.

OBJECTIVE The purpose of our study was to compare various laboratory diagnostic methods, namely histopathological examination, Ziehl-Neelsen (ZN) stain, AFB culture by conventional Lowenstein-Jensen (LJ) method and fluorescence-based mycobacterial growth indicator tube (MGIT) technique and polymerase chain reaction (PCR) in clinically suspected cases of tubercular lymphadenitis. MATERIALS AND METHODS A total of 65 lymph nodes biopsied from patients clinically suspected of having tubercular lymph nodes were included. Specimens were processed for AFB culture after NaOH-NALC concentration and inoculation on LJ medium and using the MGIT system. PCR was performed on all specimens using a commercial nested PCR kit targeting IS6110 insertion element of Mycobacterium tuberculosis complex. All lymph node specimens were subjected to histopathological examination. RESULTS Of the 65 lymph nodes, 37 (56.9%) were positive on MGIT culture and 45 (69.2%) were positive by PCR. Histopathology showed maximum sensitivity (96%) but with compromised specificity (78.5%). PCR showed 90.1% sensitivity and 100% specificity. The mean turnaround time for mycobacterial growth in smear negative specimens was 30 days determined by LJ and 20 days by MGIT techniques. CONCLUSION PCR is a rapid and useful method for diagnosis of TB lymphadenitis and definitely increases the positive predictive value of a positive histopathology report. MGIT is better than LJ culture as regards time to positivity and higher yield.
Semantic Preserving Embeddings for Generalized Graphs

A new approach to the study of Generalized Graphs as semantic data structures using machine learning techniques is presented. We show how vector representations maintaining semantic characteristics of the original data can be obtained from a given graph using neural encoding architectures and considering the topological properties of the graph. Semantic features of these new representations are tested by using some machine learning tasks and new directions on efficient link discovery, entitity retrieval and long distance query methodologies on large relational datasets are investigated using real datasets. ---- En este trabajo se presenta un nuevo enfoque en el contexto del aprendizaje autom\'atico multi-relacional para el estudio de Grafos Generalizados. Se muestra c\'omo se pueden obtener representaciones vectoriales que mantienen caracter\'isticas sem\'anticas del grafo original utilizando codificadores neuronales y considerando las propiedades topol\'ogicas del grafo. Adem\'as, se eval\'uan las caracter\'isticas sem\'anticas capturadas por estas nuevas representaciones y se investigan nuevas metodolog\'ias eficientes relacionadas con Link Discovery, Entity Retrieval y consultas a larga distancia en grandes conjuntos de datos relacionales haciendo uso de bases de datos reales.
Pedunculated carcinoma ex pleomorphic adenoma of the nasal cavity

Background:A carcinoma ex pleomorphic adenoma (CXPA) is an epithelial malignancy arising in or from a benign pleomorphic salivary adenoma. The parotid gland is the most common location of CXPAs. Minor salivary gland CXPAs of the nasal cavity are exceedingly rare, with only 6 documented in the literature. Methods and Result:We present a 7th case: an unusual pedunculated intranasal CXPA, which had a favorable outcome after a wide endoscopic excision and the longest follow-up period reported to date. The clinical features, immunohistochemical characteristics, treatment choices, and disease outcomes of the intranasal CXPAs reported in previous studies are also reviewed. Conclusion:This case demonstrates the importance of considering the possibility of CXPA in the differential diagnosis of minor salivary gland malignancies in the nasal cavity.
Advances in our understanding of thyroid hormone action at the cellular level.

Introduction DESPITE the fact that the clinical and biological importance of the thyroid hormones have been recognized for approximately 100 yr (1–3), until recently our understanding of the biological effects of these hormones has been largely descriptive and based on a catalog of effects observed to accompany an excess or deficiency of these hormones. In the past 15 yr, however, there has been substantial progress in defining the molecular basis of thyroid hormone action at the nuclear level. In the mid-60s Tata and colleagues (4, 5) first proposed that the nucleus might be the target for thyroid hormone action. This inference was based on sequential measurements of thyroid hormone effects in thyroidectomized animals treated with T4. Nevertheless, the importance and uniqueness of this pathway were not fully appreciated (6). Full understanding of the nuclear site of initiation of thyroid hormone action was dependent on the recognition that T3 was the active hormone, that T4 largely served as a precursor .
On random weights for texture generation in one layer CNNS

Recent work in the literature has shown experimentally that one can use the lower layers of a trained convolutional neural network (CNN) to model natural textures. More interestingly, it has also been experimentally shown that only one layer with random filters can also model textures although with less variability. In this paper we ask the question as to why one layer CNNs with random filters are so effective in generating textures? We theoretically show that one layer convolutional architectures (without a non-linearity) paired with the an energy function used in previous literature, can in fact preserve and modulate frequency coefficients in a manner so that random weights and pretrained weights will generate the same type of images. Based on the results of this analysis we question whether similar properties hold in the case where one uses one convolution layer with a non-linearity. We show that in the case of ReLu non-linearity there are situations where only one input will give the minimum possible energy whereas in the case of no nonlinearity, there are always infinite solutions that will give the minimum possible energy. Thus we can show that in certain situations adding a ReLu non-linearity generates less variable images.
The Painful Tweet: Text, Sentiment, and Community Structure Analyses of Tweets Pertaining to Pain

Background Despite the widespread popularity of social media, little is known about the extent or context of pain-related posts by users of those media. Objective The aim was to examine the type, context, and dissemination of pain-related tweets. Methods We used content analysis of pain-related tweets from 50 cities to unobtrusively explore the meanings and patterns of communications about pain. Content was examined by location and time of day, as well as within the context of online social networks. Results The most common terms published in conjunction with the term “pain” included feel (n=1504), don’t (n=702), and love (n=649). The proportion of tweets with positive sentiment ranged from 13% in Manila to 56% in Los Angeles, CA, with a median of 29% across cities. Temporally, the proportion of tweets with positive sentiment ranged from 24% at 1600 to 38% at 2400, with a median of 32%. The Twitter-based social networks pertaining to pain exhibited greater sparsity and lower connectedness than did those social networks pertaining to common terms such as apple, Manchester United, and Obama. The number of word clusters in proportion to node count was greater for emotion terms such as tired (0.45), happy (0.43), and sad (0.4) when compared with objective terms such as apple (0.26), Manchester United (0.14), and Obama (0.25). Conclusions Taken together, our results suggest that pain-related tweets carry special characteristics reflecting unique content and their communication among tweeters. Further work will explore how geopolitical events and seasonal changes affect tweeters’ perceptions of pain and how such perceptions may affect therapies for pain.
Saving Childhood in Everyday Objects

Abstract What experiences and meaning of childhood are saved within objects of daily life? How do these objects differ from the pre-supposed artefacts of childhood in the culture of the twentieth-century United States? Using an interdisciplinary approach, this paper focusses on unexpected objects saved from childhood. These non-traditional objects of childhood reveal different levels of meaning and interpretation of a child's material world. An analysis of several contemporary objects saved by adults explores the personal significance of everyday things and how these possessions act as temporal guideposts of personal development that in turn shape meaning and identity. In particular the paper illuminates alternative approaches to investigating the meaning and relationship of objects particularly through both interpretive phenomenology and education and human development perspectives. The paper concludes with an examination of how researchers can draw on the scholarship of human development to support continued study of children's material culture.
Simulation of a regular sampled pulsewidth modulation (PWM) technique for a multilevel inverter

Simulation of a multilevel inverter for high power applications employing a PWM unipolar symmetrical regular sampled technique based on a single carrier multilevel modulation strategy is presented in this paper. The equations related to this technique are used to design the gate signal generator blocks using Matlab Simulink. These blocks generate the gate signals for each of the multilevel inverter power devices and can later be compiled and downloaded to a dSPACE DSP controller board for real time digital implementation. The gate signal generator blocks are tested for various values of modulation index. The results of the simulation study are shown in the form of the PWM waveforms of the multilevel inverter modules as well as the gate signals for its power devices for comparison purposes.
Sodium Butyrate Increases Expression of the Coxsackie and Adenovirus Receptor in Colon Cancer Cells

ABSTRACT Histone deacetylase inhibitors (HDACI), e.g., sodium butyrate (NaB), have been suggested to upregulate the coxsackie and adenovirus receptor (CAR). Its impact on CAR in colon carcinomas, however, is poorly understood. NaB treatment of colon cancer cells increased CAR expression preferentially in cell lines with low basic CAR levels. These findings suggest that downregulation of CAR gene expression is mediated by transcriptional regulation and that activation of the CAR gene promoter is modulated by histone acetylation. The employment of HDACI may, therefore, represent a promising approach for improving adenovirus-based therapies of colon cancers with low CAR expression levels.
Economic optimization based on nonlinear parametric GPC for a wastewater treatment plant

The main scope of this paper is the implementation of a nonlinear parametric generalized predictive control (NPGPC) that integrates the control and the economic optimization of the system. The two problems are solved simultaneously through the modification of the control cost function that includes an additional term related to the economic objective. This methodology was implemented to a wastewater treatment plant (WWTP), and the results show that the method is efficient and can be used, in several practical case.
Infection: the neglected paradigm in SIDS research

Despite decades of investigation and millions of dollars spent, the cause of sudden infant death syndrome (SIDS) eludes researchers. It is timely therefore to reconsider the reasons for this failure and to explore how research might go forward with better prospects. This review assesses SIDS research in the context of clinicopathological and epidemiological features and determines that only infection attains congruence.
Incorporating pattern prediction technique for energy efficient filter cache design

A filter cache is proposed at a higher level than the L1 (main) cache in the memory hierarchy and is much smaller. The typical size of filter cache is of the order of 256 Bytes. Prediction algorithms popularly based upon the Next Fetch Prediction Table (NFPT) help making the choice between the filter cache and the main cache. In this paper we introduce a new prediction mechanism for predicting filter cache access, which relies on the hit or miss pattern of the instruction access stream over the past filter cache lines accesses. While NFPT makes predominantly incorrect hit-predictions, the proposed Pattern Table based approach reduces this. Predominantly correct prediction achieves efficient cache access, and eliminates cache-miss penalties. Our extensive simulations across a wide range of benchmark applications illustrate that the new prediction scheme is efficient as it results in improved prediction accuracy. Moreover, it reduces energy consumption of the filter cache by as much as 25% compared to NFPT based approaches. Further, the technique implemented is elegant in the form of hardware implementation as it consists only of a shift register and a Look up Table (LUT) and is hence area and energy efficient in contrast to the published prediction techniques.
Expression, post‐translational modification and biochemical characterization of proteins encoded by subgenomic mRNA8 of the severe acute respiratory syndrome coronavirus

The most striking difference between the subgenomic mRNA8 of severe acute respiratory syndrome coronavirus isolated from human and some animal species is the deletion of 29 nucleotides, resulting in splitting of a single ORF (ORF8) into two ORFs (ORF8a and ORF8b). ORF8a and ORF8b are predicted to encode two small proteins, 8a and 8b, and ORF8 a single protein, 8ab (a fusion form of 8a and 8b). To understand the functions of these proteins, we cloned cDNA fragments covering these ORFs into expression plasmids, and expressed the constructs in both in vitro and in vivo systems. Expression of a construct containing ORF8a and ORF8b generated only a single protein, 8a; no 8b protein expression was obtained. Expression of a construct containing ORF8 generated the 8ab fusion protein. Site‐directed mutagenesis and enzymatic treatment revealed that protein 8ab is modified by N‐linked glycosylation on the N81 residue and by ubiquitination. In the absence of the 8a region, protein 8b undergoes rapid degradation by proteasomes, and addition of proteasome inhibitors inhibits the degradation of protein 8b as well as the protein 8b‐induced rapid degradation of the severe acute respiratory syndrome coronavirus E protein. Glycosylation could also stabilize protein 8ab. More interestingly, the two proteins could bind to monoubiquitin and polyubiquitin, suggesting the potential involvement of these proteins in the pathogenesis of severe acute respiratory syndrome coronavirus.
Stable Plasma Membrane Levels of hCTR1 Mediate Cellular Copper Uptake*

The human copper transporter 1 (hCtr1), when heterologously overexpressed in insect cells, mediates saturable Cu uptake. In mammalian expression systems, a rapid Cu-dependent internalization of hCtr1 has been reported in cells that overexpress epitope-tagged hCtr1 when exposed to Cu in the external medium. This finding led to the suggestion that such internalization may be a step in the hCtr1 transmembrane Cu transport mechanism. We have demonstrated that preincubation in Cu-containing media of sf9 cells stably expressing hCtr1 has no effect on the initial rate of Cu transport. Furthermore, Western blot analyses of fractionated sf9 cell membranes show no evidence of a regulatory Cu-dependent internalization from the plasma membrane. In similar studies on human embryonic kidney (HEK) 293 cells, we showed that incubation with Cu does not alter the initial rate of Cu uptake mediated by endogenous levels of hCtr1 compared with untreated cells. Confirmation that hCtr1 mediates this transport is provided by specific small interfering RNA-dependent decreases in hCtr1 protein levels and in Cu transport rates. Western blot analysis and confocal microscopy of human embryonic kidney 293 cells showed that the majority of hCtr1 protein is localized at the plasma membrane and no significant internalization is detected upon Cu treatment. We concluded that internalization of hCtr1 is not a required step in the transport pathway; we suggest that oligomeric hCtr1 acts as a conventional transporter providing a permeation pathway for Cu through the membrane and that internalization of endogenous hCtr1 in response to elevated extracellular Cu levels does not play a significant regulatory role in Cu homeostasis.
Column Access of a Bubble Lattice: Column Translation and Lattice Translation

The use of a regular array. or lattice, of magnetic bubbles for the storage of information requires two kinds of functions: the read-write functions involving the generation and discrimination of bubbles with different wall structures, and the access functions involving the insertion and removal of bubbles at selected locations in the lattice. In a column-accessed bubble lattice device, accessing is accomplished by first translating the lattice to position the desired column of bubbles in an input-output access channel and then translating this column along the channel to a detector area outside of the lattice while simultaneously introducing new bubbles from a generator area at the other end of the channel. An analysis of the influence of device design parameters on access rate indicates that the most important parameters are the column translation rate and lattice capacity. A device is described that was designed to study the translation of a lattice of bubbles and of a single column of bubbles within the lattice. Quasistatic operating margins and dynamic measurements of this test device indicate that the column-access configuration provides feasible means for the rapid access of bubbles from a lattice.
p21-Activated Kinase 1 (Pak1) Regulates Cell Motility in Mammalian Fibroblasts

The p21 (Cdc42/Rac) activated kinase Pak1 regulates cell morphology and polarity in most, if not all, eukaryotic cells. We and others have established that Pak's effects on these parameters are mediated by changes in the organization of cortical actin. Because cell motility requires polarized rearrangements of the actin/myosin cytoskeleton, we examined the role of Pak1 in regulating cell movement. We established clonal tetracycline-regulated NIH-3T3 cell lines that inducibly express either wild-type Pak1, a kinase-dead, or constitutively-active forms of this enzyme, and examined the morphology, F-actin organization, and motility of these cells. Expression of any of these forms of Pak1 induced dramatic changes in actin organization which were not inhibited by coexpression of a dominant-negative form of Rac1. Cells inducibly expressing wild-type or constitutively-active Pak1 had large, polarized lamellipodia at the leading edge, were more motile than their normal counterparts when plated on a fibronectin-coated surface, and displayed enhanced directional movement in response to an immobilized collagen gradient. In contrast, cells expressing a kinase-dead form of Pak1 projected multiple lamellipodia emerging from different parts of the cell simultaneously. These cells, though highly motile, displayed reduced persistence of movement when plated on a fibronectin-coated surface and had defects in directed motility toward immobilized collagen. Expression of constitutively activated Pak1 was accompanied by increased myosin light chain (MLC) phosphorylation, whereas expression of kinase-dead Pak1 had no effect on MLC. These results suggest that Pak1 affects the phosphorylation state of MLC, thus linking this kinase to a molecule that directly affects cell movement.
An Imperfectly Perfect Robot: Discovering Interaction Design Strategy for Learning Companion

Human-likeness plays one of the most important roles in the long-term relationship between a robot and human. However, most of the existing studies have not designed human-like imperfection that is frequently observed by humans towards robots or agents. In our research, through questionnaires and interviews, we confirmed that when designing a robot or agent that plays a learning companion role, the imperfect elements of the robot or agent act positively on the long-term relationship with the user, and we will verify this with future experiments.