Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutritional composition of dishes commonly consumed by Japanese Brazilians in São Paulo, Brazil

Abstract Primary objective To calculate the nutritional composition of commonly consumed Brazilian foods and beverages to analyze dietary intake data obtained with a quantitative food frequency questionnaire in a colorectal adenoma case–control study in Japanese Brazilians. Methods and procedures Weighed recipes were collected in São Paulo, Brazil and analyzed using NutriBase Clinical Nutrition Manager. Main outcomes and results A total of 387 recipes for 76 dishes commonly consumed by Japanese Brazilians were collected: 30 composite main course dishes, 26 composite vegetable dishes, 19 snack foods and desserts, and one beverage. The nutritional composition (energy and 32 macronutrients and micronutrients) was calculated per 100 g for each dish. Conclusions We provided, for the first time, complete and up-to-date calculated nutritional composition data for commonly consumed Brazilian food items, which are essential to assess the current dietary intake among Japanese Brazilians.
Role of the C Terminus of FtsK in Escherichia coli Chromosome Segregation

ABSTRACT FtsK is essential for Escherichia coli cell division. We report that cells lacking the C terminus of FtsK are defective in chromosome segregation as well as septation, often exhibiting asymmetrically positioned nucleoids and large anucleate regions. Combining the corresponding truncated ftsK gene with amukB null mutation resulted in a synthetic lethal phenotype. When the truncated ftsK was combined with aminCDE deletion, chains of minicells were generated, many of which contained DNA. These results suggest that the C terminus of FtsK has an important role in chromosome partitioning.
Inositol Hexaphosphate Inhibits Proliferation and Induces Apoptosis of Colon Cancer Cells by Suppressing the AKT/mTOR Signaling Pathway

AKT, a serine/threonine protein kinase and mammalian target of rapamycin (mTOR) plays a critical role in the proliferation and resistance to apoptosis that are essential to the development and progression of colon cancer. Therefore, AKT/mTOR signaling pathway has been recognized as an attractive target for anticancer therapy. Inositol hexaphosphate (InsP6), a natural occurring phytochemical, has been shown to have both preventive and therapeutic effects against various cancers, however, its exact molecular mechanisms of action are not fully understood. The aim of the in vitro study was to investigate the anticancer activity of InsP6 on colon cancer with the focus on inhibiting the AKT1 kinase and p70S6K1 as mTOR effector, in relation to proliferation and apoptosis of cells. The colon cancer Caco-2 cells were cultured using standard techniques and exposed to InsP6 at different concentrations (1 mM, 2.5 mM and 5 mM). Cellular proliferative activity was monitored by 5-bromo-2′-deoxyuridine (BrdU) incorporation into cellular DNA. Flow cytometric analysis was performed for cell cycle progression and apoptosis studies. Real-time RT-qPCR was used to validate mRNA levels of CDNK1A, CDNK1B, CASP3, CASP9, AKT1 and S6K1 genes. The concentration of p21 protein as well as the activities of caspase 3, AKT1 and p70S6K1 were determined by the ELISA method. The results revealed that IP6 inhibited proliferation and stimulated apoptosis of colon cancer cells. This effect was mediated by an increase in the expression of genes encoding p21, p27, caspase 3, caspase 9 as well a decrease in transcription of AKT1 and S6K1. InsP6 suppressed phosphorylation of AKT1 and p70S6K1, downstream effector of mTOR. Based on these studies it may be concluded that InsP6 can reduce proliferation and induce apoptosis through inhibition of the AKT/mTOR pathway and mTOR effector followed by modulation of the expression and activity of several key components of these pathways in colon cancer cells.
Harnessing spontaneous participation on social media: implementing the knowledge extraction component

Recent efforts to mainstream social media-based and citizen-led political deliberations to complement traditional government-led e-Participation, must among others address a number of technical challenges. One of these challenges is how to automatically filter and extract meaningful information or knowledge from streams of social media data contributed by citizens to inform agenda setting or serve as feedback for specific policy issues. A central resource in developing an effective information extraction system is the Lexicon of terms and relationship among terms in the domain of interest. This poster summarizes our work in developing a lexicon of public services names as the kernel of the knowledge extraction component of our Social Software Infrastructure for spontaneous participation. Our lexicon-based knowledge extraction process is scalable and could be easily extended to capture other information of interest from social media or related platforms.
Do Perceptions of Social Cohesion, Social Support, and Social Control Mediate the Effects of Local Community Participation on Neighborhood Satisfaction?

This article investigates the effects of social cohesion, social support, social control, and active local community participation on neighborhood satisfaction among individuals living in Los Angeles County. Utilizing the LAFANS dataset and proportional odds regression models, the authors find that net of individual demographic and socioeconomic status, perceptions of social cohesion, and social control are associated with greater levels of neighborhood satisfaction, whereas perceptions of neighborhood social support have no effect on satisfaction. Furthermore, formal involvement in one’s neighborhood is associated with greater levels of satisfaction only in certain contexts and only for certain types of involvement.
Expression of ARNT, ARNT2, HIF1 alpha, HIF2 alpha and Ah receptor mRNAs in the developing mouse.

The basic helix-loop-helix-PAS (bHLH-PAS) protein ARNT is a dimeric partner of the Ah receptor (AHR) and hypoxia inducible factor 1 alpha(HIF1 alpha). These dimers mediate biological responses to xenobiotic exposure and low oxygen tension. The recent cloning of ARNT and HIF1(homologues (ARNT2 and HIF2 alpha) indicates that at least six distinct bHLH-PAS heterodimeric combinations can occur in response to a number of environmental stimuli. In an effort to understand the biological relevance of this combinatorial complexity, we characterized their relative expression at a number of developmental time points by parallel in situ hybridization of adjacent tissue sections. Our results reveal that in general there is limited redundancy in the expression of these six transcription factors and that each of these bHLH-PAS members displays a unique pattern of developmental expression emerging as early as embryonic day 9.5.
Research on the Fit between Douyin Video Creativity and User Psychological Needs

Douyin, a short video application, has swept the globe, becoming an essential tool for millions of users. Behind its success lies a profound charm: the deep fit between video creativity and user psychological needs. This alignment not only brings users an ultimate sense of satisfaction and pleasure but also builds a solid barrier of user stickiness for the Douyin platform. The video creativity on Douyin is diverse, covering humor, dance, food, travel, knowledge sharing, and other fields. The creative content is not merely entertainment but accurately captures and meets users’ psychological needs. In the fast-paced life, people are eager to find a way to relax and relieve stress, and Douyin is such a perfect choice. Therefore, studying the fit between Douyin video creativity and user psychological needs is crucial for enhancing the user experience and attractiveness of the Douyin platform. By deeply understanding users’ psychological needs, Douyin can continuously optimize video creativity to provide users with higher quality, need-matching content. This is undoubtedly key to maintaining competitiveness and continuously attracting users.
Differences in Muscle Protein Synthesis and Anabolic Signaling in the Postabsorptive State and in Response to Food in 65–80 Year Old Men and Women

Men have more muscle than women but during aging lose muscle faster than women. To investigate potential mechanisms responsible for this we measured rates of muscle protein synthesis (MPS) with stable isotope‐labeled tracer techniques and the phosphorylation status of anabolic signaling elements during postabsorptive conditions and feeding in men (n=13) and women (n=16) who were matched on age (65–80 y) and body mass index. Postabsorptive MPS was ∼25% less in men than in women (0.045 [0.039; 0.057] vs 0.058 [0.052; 0.072]; %·h−1; medians [quartiles]; P=0.02) and feeding increased MPS in men (to 0.071 [0.059; 0.079] %·h−1; P<0.01) but not women (0.060 [0.056; 0.089] %·h−1). Postabsorptively, muscle phosphorylated AktSer473, p70s6kThr389, eIF4ESer209 and eIF4E‐BP1Thr37/46 concentrations were not different between sexes but that of eEFThr56 was less in women, consonant with more activated protein elongation. Accordingly, feeding increased eIF4ESer209 and eIF4E‐BP1Thr37/46 phosphorylation in men (both P<0.05) but not in women. Thus, there is sexual dimorphism in MPS and its control in older adults with a diminished basal rate of MPS, which operates over much of the day, potentially explaining the faster loss of muscle in older men.
Learning Hierarchical Translation Spans

We propose a simple and effective approach to learn translation spans for the hierarchical phrase-based translation model. Our model evaluates if a source span should be covered by translation rules during decoding, which is integrated into the translation system as soft constraints. Compared to syntactic constraints, our model is directly acquired from an aligned parallel corpus and does not require parsers. Rich source side contextual features and advanced machine learning methods were utilized for this learning task. The proposed approach was evaluated on NTCIR-9 Chinese-English and Japanese-English translation tasks and showed significant improvement over the baseline system.
Corporate Gita: Lessons for Management, Administration and Leadership

This paper expounds the model of a 'sacro-civic' society, drawing upon psycho-spiritual insights of the Gita. Four major management themes of common interest in the East and the West have been selected. Then the relevant verses of the Gita have been used to elaborate on their respective deeper imports. These four broad themes have later again been decomposed into 20 specific subthemes, and verses connected with each of them are presented. The author offers simple rhymed English translations of these verses using some of the well-known renderings by earlier masters of the Gita. The reader is invited to reflect upon and assimilate the spirit of these verses for application in the field of daily management practice and in the wider arena of social reconstruction.
Probabilistic Constraint Robust Transceiver Design for MIMO Interference Channel Networks

—In this paper, we investigate the robust transceiver design for Multi-Input Multi-Output (MIMO) Interference Channel (IC) networks with imperfect Channel State Information (CSI). With the assumption of Gaussian CSI uncertainty, a probabilistic constraint robust transceiver design problem is formulated by maximizing the average received signal while constraining the probability of large interference plus noise, both in downlink and uplink. To solve the formulated design problem, the probabilistic constraints are first transformed as Linear Matrix Inequalities (LMIs) using Markov’s inequality, and a semidefinite relaxation (SDR) technique is then applied to further recast the design problem as convex semidefinite programming (SDP) problem, which can be solved efficiently. An iterative algorithm based on alternative optimizing is proposed for the probabilistic constraint robust design. Simulation results verify that the proposed probabilistic constraint based robust transceiver design can provide robustness against Gaussian CSI errors.
Identifying a French-specific laughter particle

Aspirated sounds placed in a stream of talk prior to the onset of laughter are oriented to by interactants as minimal-equivocal laugh particles. These particles are available to carry out various interactional tasks, signalling an opportunity for co-participants to co-ordinate their laughter, to join in an episode of shared laughter for example. They may also contribute to keying actions as non-serious. The analysis of data from my corpus of French talk-in-interaction has revealed several instances of a voiceless palatal fricative following a word-final high front vowed [i]. This sound will be shown to occupy interactional slots generally associated with minimal-equivocal laughter particles. From evidence of its placement in sequences of turns keyed as non-serious, accompanying dispreferred actions, and in a terminal position in interactional sequences, the voiceless palatal fricative will be shown to be oriented to by French speakers as a minimal-equivocal laugh particle.
The mutation DGT1-1 decreases glucose transport and alleviates carbon catabolite repression in Saccharomyces cerevisiae

Glucose in ethanol-glycerol mixtures inhibits growth of Saccharomyces cerevisiae mutants lacking phosphoglycerate mutase. A suppressor mutation that relieved glucose inhibition was isolated. This mutation, DGT1-1 (decreasing glucose transport), was dominant and produced pleiotropic effects even in an otherwise wild-type background. Growth of the DGT1-1 mutant in glucose was dependent on respiration, and no ethanol was detected in the medium within 7 h of glucose addition. When grown on glucose, the mutant had a reduced glucose uptake and both the low- and high-affinity transport systems were affected. In galactose-grown cells, only the high-affinity glucose transport system was detected. This system had similar kinetic characteristics in the wild type and in the mutant. Catabolite repression of several enzymes was absent in the mutant during growth in glucose but not during growth in galactose. In contrast with the wild type, the mutant grown in glucose had high transcription of the glucose transporter gene SNF3 and no transcription of HXT1 and HXT3. Expression of multicopy plasmids carrying the HXT1, HXT2, or HXT3 gene allowed partial recovery of both fermentative capacity and catabolite repression in the mutant. The results suggest that DGT1 codes for a regulator of the expression of glucose transport genes. They also suggest that glucose flux might determine the levels of molecules implicated as signals in catbolite repression.
Dynamic Unawareness and Rationalizable Behavior

We define generalized extensive-form games which allow for mutual unawareness of actions. We extend Pearce's (1984) notion of extensive-form (correlated) rationalizability to this setting, explore its properties and prove existence. We define also a new variant of this solution concept, prudent rationalizability, which refines the set of outcomes induced by extensive-form rationalizable strategies. Finally, we define the normal form of a generalized extensive-form game, and characterize in it extensive-form rationalizability by iterative conditional dominance.
Automated segmentation using PCA and area estimation of thyroid gland using ultrasound images

Thyroid is a hormone secreting gland which influences all metabolic activities in our body. The production of hormone is regulated by the feedback loop between the hypothalamus, pituitary -gland and thyroid gland. The most common thyroid problems involve over production of thyroid hormones is said to be hyperthyroidism. Insufficient hormone production leads to hypothyroidism. Thyroid gland area varies with age, sex and production of hormone inbalance. This gland area can be estimated with an accuracy and gives effective result in diagnosis. The CAD system employs automatic segmentation of thyroid gland based on principle component analysis and morphological processess. The area of the thyroid gland is measured by using matlab. The segmentation process will be applied for the input image for the detection of gland region. The ROI based clustering is used here for effective segmentation to diagnose the tumour part. The morphological process will be used to avoid distortion from background and smoothing the region. This proposed method will reduce the errors caused due to manual analysis, time consuming, inaccurate and also eliminate the need of intensive trained person's in order to avoid diagnostic errors.
Effects of Protein Kinase Inhibitors on Morphology and Function of Cultured Bovine Adrenal Chromaffin Cells: KN‐62 Inhibits Secretory Function by Blocking Stimulated Ca2+ Entry

Abstract: In cultured bovine adrenal chromaffin cells, a nonselective protein kinase inhibitor, staurosporine, inhibits secretory function and induces neurite outgrowth. In the present study, effects of other nonselective protein kinase inhibitors (K‐252a, H‐7, and H‐8) and reportedly selective protein kinase inhibitors (KN‐62 and chelerythrine chloride) were examined on bovine adrenal chromaffin cell morphology, secretory function, and 45Ca2+ uptake. Treatment of chromaffin cells with 10 µM K‐252a, 50 µM H‐7, or 50 µM H‐8 induced changes in cell morphology within 3 h; these compounds also induced a time‐dependent inhibition of stimulated catecholamine release. Chelerythrine chloride, a selective inhibitor of Ca2+/phospholipid‐dependent protein kinase, did not induce outgrowth or inhibit secretory function under our treatment conditions. KN‐62, a selective inhibitor of Ca2+/calmodulin‐dependent protein kinase II (CaMK II), significantly inhibited stimulated catecholamine release (IC50 value of 0.32 µM), but had no effect on cell morphology. The reduction of secretory function induced by 1 µM KN‐62 was significant within 5 min and rapidly reversible. Unlike H‐7, H‐8, and staurosporine, KN‐62 significantly inhibited stimulated 45Ca2+ uptake. KN‐04, a structural analogue of KN‐62 that does not inhibit CaMK II, inhibited stimulated 45Ca2+ uptake and catecholamine release like KN‐62. These studies indicate that KN‐62 inhibits secretory function via the direct blockade of activated Ca2+ influx. The nonselective inhibitors, K‐252a, H‐7, H‐8, and staurosporine, inhibit secretory function by another mechanism, perhaps one involving alterations in the cytoskeleton.
Using a Semantic Multidimensional Approach to create a Contextual Recommender System

Item recommendations calculated by recommender systems mostly in use today, only rely on item content description, user feedback and proﬁle information. In modern mobile services, however, contextual information and semantic knowledge can play a signiﬁcant role concerning the quality of these recommendations. Therefore, the SMART Recommendations Engine of Fraunhofer FOKUS is extended by the SMART Multidimensionality Extension and the SMART Ontology Extension that enable the recommender to incorporate contextual and semantic data into the recommendation process. The demonstration of the SMART Ontology Extension visualizes that the preciseness of recommendations can be increased by exploiting implicit and indirect knowledge, classiﬁcation and location information gained from ontologies when generating recommendations in the scope of an exemplary food purchase scenario.
Modeling mood variation associated with smoking: an application of a heterogeneous mixed-effects model for analysis of ecological momentary assessment (EMA) data.

AIMS Mixed models are used increasingly for analysis of ecological momentary assessment (EMA) data. The variance parameters of the random effects, which indicate the degree of heterogeneity in the population of subjects, are considered usually to be homogeneous across subjects. Modeling these variances can shed light on interesting hypotheses in substance abuse research. DESIGN We describe how these variances can be modeled in terms of covariates to examine the covariate effects on between-subjects variation, focusing on positive and negative mood and the degree to which these moods change as a function of smoking. SETTING The data are drawn from an EMA study of adolescent smoking. PARTICIPANTS Participants were 234 adolescents, either in 9th or 10th grades, who provided EMA mood reports from both random prompts and following smoking events. MEASUREMENTS We focused on two mood outcomes: measures of the subject's negative and positive affect and several covariates: gender, grade, negative mood regulation and smoking level. FINDINGS AND CONCLUSIONS Following smoking, adolescents experienced higher positive affect and lower negative affect than they did at random, non-smoking times. Our analyses also indicated an increased consistency of subjective mood responses as smoking experience increased and a diminishing of mood change.
Positive Effects of Parental Divorce on Undergraduates

Three hundred and thirty-six undergraduates from two large universities in the Southeast and Midwest completed a 31-item Internet questionnaire revealing their (mostly white and ages 18–23) reaction to the divorce of their parents. Perceived positive effects included a happier mother (57%); happier father (43%); closer relationships with mother, father, or siblings (45%, 29%, 36%, respectively); less parental conflict (35%); and greater appreciation for one’s siblings (40%). Significant differences between women and men included that females were closer with their mother (p < .05), males had a better relationship with their stepsiblings (p < .05) and females were more likely to agree that they were slow to express their feelings in a relationship (p < .05). Symbolic interaction was used as the theoretical framework to interpret the data. Implications and limitations are suggested.
Semantic Web Based Efficient Search Using Ontology and Mathematical Model

The semantic web is the forthcoming technology in the world of search engine. It becomes mainly focused towards the search which is more meaningful rather than the syntactic search prevailing now. This proposed work concerns about the semantic search with respect to the educational domain. In this paper, we propose semantic web based efficient search using ontology and mathematical model that takes into account the misleading, unmatched kind of service information, lack of relevant domain knowledge and the wrong service queries. To solve these issues in this framework is designed to make three major contributions, which are ontology knowledge base, Natural Language Processing (NLP) techniques and search model. Ontology knowledge base is to store domain specific service ontologies and service description entity (SDE) metadata. The search model is to retrieve SDE metadata as efficient for Education lenders, which include mathematical model. The Natural language processing techniques for spell-check and synonym based search. The results are retrieved and stored in an ontology, which in terms prevents the data redundancy. The results are more accurate to search, sensitive to spell check and synonymous context. This paper reduces the user's time and complexity in finding for the correct results of his/her search text and our model provides more accurate results. A series of experiments are conducted in order to respectively evaluate the mechanism and the employed mathematical model.