Miracle-dz/UniFAR-FTUs huggingface dataset:
Eating disorders in patients with insulin-dependent diabetes mellitus.

The frequency of anorectic/bulimic disturbances in a sample of male and female subjects with insulin-dependent diabetes mellitus was compared to that of male and female normal controls. The results suggest an overrepresentation of anorexia/bulimia in the female diabetics. Prevalence of eating disorders was determined from the scores on the Eating Attitudes Test. As a group, the female diabetics had significantly (p less than .05) higher scores on the test, suggesting a greater "awareness" of topics related to food and eating. The results are discussed within a risk-factor model, in which insulin-dependent diabetes mellitus may be viewed as one factor in the development of eating disorders.
A polymorphic, prespore-specific cell surface glycoprotein is present in the extracellular matrix of Dictyostelium discoideum

Polymorphisms of a major developmentally regulated prespore-specific protein (PsA) in Dictyostelium discoideum slugs are described. These polymorphisms allowed discrimination between PsA (found on the cell surface and in the extracellular matrix) and a similar extracellular but nonpolymorphic protein, ShA. The two proteins were also distinguished by their differing reactivities with a range of monoclonal antibodies and by their sensitivity to release from the sheath with cellulase. The results are discussed in terms of the molecular and genetic relationships between the cell surface and the extracellular matrix during development.
Conflict-free minerals supply-chain to electronics

The Conflict Free Smelter (CFS) Program is a novel mechanism of corporate social responsibility (CSR) and sustainability management, which provides assurances on the sources of strategic resources used in electronics. The program achieves this by auditing metal smelters and refiners to confirm that that they have not sourced materials from conflict regions. The structure of the program includes formal protocols, an audit review committee, stakeholder consultation, and an industry oversight group. Although it has faced technical challenges in implementing protocols, the CFS has demonstrated the ability to identify sources of metals. Data show that the quantities of metals from compliant facilities currently represent a fraction of market volume, with the exception of a significant number of compliant tantalum refiners. Through this initiative, the electronics sector has influenced social performance in firms that are many tiers deep in the supply-chain. Possible expansion to other sustainability issues and sectors is possible.
Analysis of time domain combined field integral equation for electromagnetic scattering from dielectric objects

In this work, we present a time domain combined field integral equation (TD- CFIE) formulation to analyze the transient electromagnetic response from three- dimensional dielectric objects. The marching-on in time (MOT) technique is extensively employed to analyze the transient scattering from conducting and dielectric objects using time domain integral equations. A serious drawback of this algorithm is the occurrence of late-time instabilities in the form of high frequency oscillation. The solution method in this paper is based on the method of moments (MoM) that involves separate spatial and temporal testing procedures. A set of the RWG function is used for spatial expansion of the equivalent electric and magnetic current densities and a combination of RWG function and its orthogonal component is used as spatial testing.
A Modular Multiplexer Operating Simultaneously in Four Frequency Bands with Two Linear Orthogonal Polarization Each

A multiplexer using quasi-optical filters, directional couplers, Tchebischeff and Butterworth filters and orthomode transducer, can operate simultaneously in four CCIR frequency bands for Microwave links : - One half 3.6 - 4.2 GHz frequency plan for Radio Links carrying 1800 telephone channels - One half 5.925 - 6.425 GHz frequency plan for Radio Links carrying 1800 telephone channels (CCIR Rec. 382.1) - One half 6.43 - 7.11 GHz frequency plan for Radio Links carrying 2700 telephone channels (CCIR Rec. 384.1) - One half 10.7- 11.7 GHz frequency plan for Radio Links carrying 1800 telephone channels (CCIR Rec. 387.1)
A single-hop clustering and energy efficient protocol for wireless sensor networks

Energy efficiency is an active research area in WSNs technology. There is an extensive research work going towards this direction and existing mechanisms fail to address the problem completely due to its limited specificity. This work focuses on the idea of enhancing the network lifetime on the basis of cluster-heads (CHs) remaining energy levels. Thus, instead of changing CHs at every round for dynamic clustering, we propose two sorts of CH threshold function as energy threshold function and optimal CH range threshold function for maximizing the network lifetime. Simulation results show that our protocol maximizes the network lifetime and captures the data three times more than the other known energy-efficient protocols in the literature.
Different Applications and Techniques for Sentiment Analysis

Sentiment Analysis is a continuous field of research in the content mining field. Sentiment Analysis is the computational treatment of feelings, opinions, and subjectivity of content. This study paper handles an extensive review of the last upgrade in this field. Numerous as of late proposed calculations' improvements and different Sentiment Analysis applications are examined and displayed quickly in this review. Sentiment Analysis has as of late assumed a huge part for specialists since examination of online content is helpful for the statistical surveying political issue, business insight, on the web shopping, and logical overview from mental The related fields to Sentiment Analysis that pulled in analysts as of late are talked about. The fundamental focus of this review is to give almost a full picture of Sentiment Analysis is methods and the related fields with brief points of interest. The principle commitments of this paper incorporate the modern classifications of countless articles and the delineation of the late pattern of research in Sentiment Analysis and its related area.
1 Randomness in nonlocal games between mistrustful players

If two quantum players at a nonlocal game G achieve a superclassical score, then their measurement outcomes must be at least partially random from the perspective of any third player. This is the basis for device-independent quantum cryptography. In this paper we address a related question: does a superclassical score at G guarantee that one player has created randomness from the perspective of the other player? We show that for complete-support games, the answer is yes: even if the second player is given the first player’s input at the conclusion of the game, he cannot perfectly recover her output. This implies that some amount of local randomness (i.e., randomness possessed by only one player) can always be obtained when randomness is certified by nonlocal games. We discuss potential implications for cryptographic protocols between mistrustful parties.
Performance Analysis Of Regularized Adaptive Algorithms For Noise Suppression In Speech Signals

: In this Paper, Regularized NLMS algorithm is proposed to enhance the speech signal from the noisy speech. Speech enhancement is a long standing problem with numerous applications like teleconferencing, VoIP, hearing aids and speech recognition degradations. The motivation behind this research work is to obtain a clean speech signal of higher quality by applying the optimal noise cancellation technique. Real-time adaptive filtering algorithms seem to be the best candidate among all categories of the The motivation behind this research work is to obtain a clean speech signal of higher quality by applying the optimal noise cancellation technique. Real-time adaptive filtering algorithms seem to be the best candidate among all categories of the speech enhancement methods. Experiments were performed on noisy data which was prepared by adding AWGN, We then compare the noise cancellation performance of proposed Regularized NLMS algorithm with existing Spectral Subtraction method and NLMS algorithm in terms of Mean Squared Error (MSE), Signal to Noise ratio (SNR). Based on the performance evaluation, the proposed Regularized NLMS algorithm was found to be a better optimal noise cancellation technique in speech enhancement applications .
Detección y caracterización de péptidos, proteínas y glicoproteínas como biomarcadores en fluidos biológicos. Aplicación al diagnóstico y seguimiento de diversas patologías

Esta tesis doctoral se ha centrado en el desarrollo de metodologias analiticas adecuadas que permitan la separacion, deteccion, caracterizacion e identificacion de proteinas y metabolitos como biomarcadores de diferentes enfermedades o procesos patologicos. Concretamente, se ha centrado en el analisis de biomarcadores proteicos tales como la transtiretina (TTR), una proteina oligomerica con una gran tendencia a formar agregados amiloides y relacionada con la polineuropatia amiloidotica familiar tipo I (FAP-I), y el antigeno carcinoembrionario humano (CEA), una glicoproteina biomarcadora del cancer de colon y de la metastasis de higado (derivada del cancer de colon). Tambien se ha hecho especial enfasis en el estudio de biomarcadores metabolicos relacionados con la progresion de la enfermedad del Huntington, una enfermedad neurodegenerativa hereditaria caracterizada tambien por la formacion de agregados amiloides. La dificultad de las metodologias empleadas para el analisis de biomarcadores proteicos y metabolicos reside principalmente en el tratamiento de muestra que se tiene que llevar a cabo para aislar y preconcentrar los compuestos de interes presentes en muestras biologicas complejas (tales como suero y plasma) y en la utilizacion de tecnicas de separacion y deteccion adecuadas que permitan la correcta caracterizacion de dichos biomarcadores. Por este motivo, se han empleado diferentes estrategias para el analisis dirigido (targeted analysis) y no dirigido (untargeted analysis, global profiling) de biomarcadores proteicos y metabolicos, asi como para el analisis de proteinas mediante estrategias de top-down y bottom-up, cada una con sus ventajas e inconvenientes. Tambien se han evaluado diferentes tecnicas de separacion de alta resolucion miniaturizadas como la electroforesis capilar (CE), la cromatografia de liquidos capilar (CapLC) y la movilidad ionica (IM), todas ellas acopladas a la espectrometria de masas (CE-MS, CapLC-MS y IM-MS, respectivamente). En resumen, esta tesis doctoral presenta una vision global de las estrategias analiticas mas utilizadas actualmente para el estudio de biomarcadores en el campo de la investigacion proteomica y metabolomica, con el objetivo de poder diagnosticar, predecir un debut temprano y proponer nuevas dianas terapeuticas a diferentes enfermedades y procesos patologicos.
Efficient Algorithms for Approximate String Matching with Swaps

Most research on the edit distance problem and thek-differences problem considered the set of edit operations consisting of changes, insertions, and deletions. In this paper we include theswapoperation that interchanges two adjacent characters into the set of allowable edit operations, and we present anO(tmin(m,n))-time algorithm for the extended edit distance problem, wheretis the edit distance between the given strings, and anO(kn)-time algorithm for the extendedk-differences problem. That is, we add swaps into the set of edit operations without increasing the time complexities of previous algorithms that consider only changes, insertions, and deletions for the edit distance andk-differences problems.
Early detection of bearing faults by the Hilbert-Huang transform

The operation of bearings usually results in a dynamic behavior generating stationary and non-stationary vibration signals mixed with an amount of background noise. Therefore, the condition monitoring of bearings becomes difficult since the purpose is to extract health indicators able to detect the appearance of faults, track their evolution and predict the bearings' remaining useful life. The aim of this paper is the introduction of a new approach for the health monitoring of bearings. This approach is based on health indicators extracted from raw vibration signals filtered by the Hilbert-Huang transform. The proposed approach is composed of three steps. The first step uses the empirical mode decomposition to separate each vibration signal into different intrinsic mode functions (IMFs), where each IMF is located within a specific frequency band. The second step extracts instantaneous amplitudes and frequencies for each mode in order to identify its frequency band. Finally, the third step selects the interesting IMFs according to the characteristic frequencies of the bearing failures. The Hilbert marginal spectrum of the selected intrinsic mode functions are then considered as health indicators. The proposed approach is validated by real data taken from the PRONOSTIA experimental platform.
Copy number gains at chr3p25 and chr11p11 are associated with lymph node involvement and survival in muscle-invasive bladder tumors

Patients with muscle-invasive bladder cancer (MIBC) have poorer prognoses if cancer has metastasized to the lymph nodes. Genomic markers of lymph node involvement (LNI) would be useful for treatment planning, especially if measured at the biopsy stage, but large-scale studies of tumor tissue at any stage are needed to discover robust markers of LNI. We performed a genome-wide query of copy number alterations (CNA) in 237 MIBC surgical tumor specimens from patients in The Cancer Genome Atlas who had radical cystectomy and lymphadenectomy without neoadjuvant treatment. Pathology reports were independently reviewed to confirm LNI, and copy number data was analyzed to confirm gene-level gains and losses while adjusting for tumor purity and ploidy. Using logistic regression and elastic net models, we identified the CNA most significantly associated with LNI. Multivariable logistic regression was used to describe these CNA associations while adjusting for clinical variables. Kaplan-Meier and Cox regression were used to describe their association with overall survival. Gains in 26 genes were identified as having strong associations with LNI. After adjusting for age, gender, race, pathological tumor stage, histology, and number of nodes examined, gains in 22 genes on chr3p25 or chr11p11 remained significantly associated with LNI (p<0.01) and improved model discrimination over clinical variables alone (p = 0.04). They were also associated with shorter overall survival (adjusted p = 0.02). These results suggest that a simple genomic test for gains in chr3p25 and chr11p11 could inform adjuvant treatment or clinical trial decisions if validated in external cohorts. Additional studies will also be needed to determine if these CNA are detectible in biopsy tissue and can inform clinical decisions at the preoperative stage.
Shigella flexneri Phagosomal Escape Is Independent of Invasion

ABSTRACT Infections with Salmonella enterica serovar Typhimurium and Shigella flexneri result in mucosal inflammation in response to epithelial cell invasion and macrophage cytotoxicity. These processes are mediated by type III secretion systems encoded in homologous virulence loci in the two species, namely, Salmonella pathogenicity island 1 (SPI-1), carried in the genome, and the Shigella entry region (SER), carried in a large virulence plasmid. Here we show that SPI-1 can functionally complement a deletion of SER in S. flexneri, restoring invasion of epithelial cells, macrophage cytotoxicity, and phagosomal escape. Furthermore, S. flexneri phagosomal escape requires the SER and another gene(s) carried on the large virulence plasmid. We demonstrate that the processes of invasion and phagosomal escape can be uncoupled in S. flexneri.
The Obligatory Exerciser

A small group of patients are overly committed to their exercise routines, possibly to the detriment of their physical and psychological well-being. The concept of obligatory exercise is difficult to define, and its prevalence has not been extensively studied. Clinicians who are aware of behavioral and personality descriptors for obligatory exercisers can identify the problem and suggest treatment options. Treatment may follow guidelines similar to those for overtraining, addiction, compulsion, and eating disorders. Preventive measures lie in understanding exercisers' attitudes and beliefs about exercise and their bodies.
Environmental filtering is the main assembly rule of ground beetles in the forest and its edge but not in the adjacent grassland

In a fragmented landscape, transitional zones between neighboring habitats are common, and our understanding of community organizational forces across such habitats is important. Edge studies are numerous, but the majority of them utilize information on species richness and abundance. Abundance and taxonomic diversity, however, provide little information on the functioning and phylogeny of the co‐existing species. Combining the evaluation of their functional and phylogenetic relationships, we aimed to assess whether ground beetle assemblages are deterministically or stochastically structured along grassland–forest gradients. Our results showed different community assembly rules on opposite sides of the forest edge. In the grassland, co‐occurring species were functionally and phylogenetically not different from the random null model, indicating a random assembly process. Contrary to this, at the forest edge and the interior, co‐occurring species showed functional and phylogenetic clustering, thus environmental filtering was the likely process structuring carabid assemblages. Community assembly in the grassland was considerably affected by asymmetrical species flows (spillover) across the forest edge: more forest species penetrated into the grassland than open‐habitat and generalist species entered into the forest. This asymmetrical species flow underlines the importance of the filter function of forest edges. As unfavorable, human‐induced changes to the structure, composition and characteristics of forest edges may alter their filter function, edges have to be specifically considered during conservation management.
Overinvestment, Underinvestment, Efficient Investment Decrease, and Efficient Investment Increase

Using data of Chinese listed companies, we find that the relationship between capital expenditure growth and stock return does not monotonously increase or decrease. Four types of relationships exist between capital expenditure growth and stock returns: overinvestment, underinvestment, efficient investment decrease, and efficient investment increase. The first two types show inefficient investments, whereas the last two types show efficient investments. We further explore how ownership structure in Chinese listed companies affects the relationship between capital expenditure growth and stock return. We find that companies controlled by private investors tend to make inefficient investment decisions because of agency problems.
Measured propagation characteristics of coplanar waveguide on semi-insulating 4H-SiC through 800 K

Wireless sensors for high temperature industrial applications and jet engines require RF transmission lines and RF integrated circuits (RFICs) on wide bandgap semiconductors such as SiC. In this paper, the complex propagation constant of coplanar waveguide fabricated on semi-insulating 4H-SiC has been measured through 813 K. It is shown that the attenuation increases 3.4 dB/cm at 50 GHz as the SiC temperature is increased from 300 K to 813 K. Above 500 K, the major contribution to loss is the decrease in SiC resistivity. The effective permittivity of the same line increases by approximately 5% at microwave frequencies and 20% at 1 GHz.
Proteolytic Cleavage of Extracellular α-Synuclein by Plasmin

Background: A prion-like spread of α-synuclein might play a role in the pathogenesis of Parkinson disease. Results: Extracellular α-synuclein was cleaved by plasmin. Cultured microglia and astrocytes did not take up plasmin digested extracellular α-synuclein, and were not activated. Conclusion: Plasmin-mediated α-synuclein clearance problems might play a role in the pathogenesis of Parkinson disease. Significance: Therapies aimed at α-synuclein clearance may lead to new therapies for Parkinson disease. Parkinson disease (PD) is the second most common neurodegenerative disease characterized by a progressive dopaminergic neuronal loss in association with Lewy body inclusions. Gathering evidence indicates that α-synuclein (α-syn), a major component of the Lewy body, plays an important role in the pathogenesis of PD. Although α-syn is considered to be a cytoplasmic protein, it has been detected in extracellular biological fluids, including human cerebrospinal fluid and blood plasma of healthy and diseased individuals. In addition, a prion-like spread of α-syn aggregates has been recently proposed to contribute to the propagation of Lewy bodies throughout the nervous system during progression of PD, suggesting that the metabolism of extracellular α-syn might play a key role in the pathogenesis of PD. In the present study, we found that plasmin cleaved and degraded extracellular α-syn specifically in a dose- and time- dependent manner. Aggregated forms of α-syn as well as monomeric α-syn were also cleaved by plasmin. Plasmin cleaved mainly the N-terminal region of α-syn and also inhibited the translocation of extracellular α-syn into the neighboring cells in addition to the activation of microglia and astrocytes by extracellular α-syn. Further, extracellular α-syn regulated the plasmin system through up-regulation of plasminogen activator inhibitor-1 (PAI-1) expression. These findings help to understand the molecular mechanism of PD and develop new therapeutic targets for PD.
Have the Best Classifiers ” : Identifying Speech Imitating the Style of Donald Trump

These days, people love to write comments that imitate Donald Trump’s speaking style. But inevitably, a few folks won’t get the joke. It’s tragic how these people end up getting left out of all the fun. This project is an attempt to rectify the situation. If there existed a program where you could give it a comment and it would tell you if the comment is written in Trump’s style, this would solve everyone’s problems. No longer will people miss the joke: they can simply run a comment through the Donald Trump recognizer to determine if what they’re reading is meant to imitate that great orator’s style. This paper describes a text classifier based on a convolutional neural network (CNN) that determines whether an input is spoken by Donald Trump (or meant to imitate his style).
Gibberellin Metabolism, Perception and Signaling Pathways in Arabidopsis

Abstract Bioactive gibberellins (GAs) are diterpene phytohormones that modulate growth and development throughout the whole life cycle of the plant. Arabidopsis genes encoding most GA biosynthesis and catabolism enzymes, as well as GA receptors (GIBBERELLIN INSENSITIVE DWARF1, GID1) and early GA signaling components have been identified. Expression studies on the GA biosynthesis genes are beginning to reveal the potential sites of GA biosynthesis during plant development. Biochemical and genetic analyses demonstrate that GA de-represses its signaling pathway by binding to GID1s, which induce degradation of GA signaling repressors (DELLAs) via an ubiquitin-proteasome pathway. To modulate plant growth and development, the GA pathway is also regulated by endogenous signals (other hormones) and environmental cues (such as light, temperature and salt stress). In many cases, these internal and external cues directly affect GA metabolism and bioactive GA levels, and indirectly alter DELLA accumulation and GA responses. Importantly, direct negative interaction between DELLA and PIF3 and PIF4 (2 phytochrome interacting transcription factors) appears to integrate the effects of light and GA on hypocotyl elongation.