Miracle-dz/UniFAR-FTUs huggingface dataset:
Conditional Density Estimation by Penalized Likelihood Model Selection and Applications

In this technical report, we consider conditional density estimation with a maximum likelihood approach. Under weak assumptions, we obtain a theoretical bound for a Kullback-Leibler type loss for a single model maximum likelihood estimate. We use a penalized model selection technique to select a best model within a collection. We give a general condition on penalty choice that leads to oracle type inequality for the resulting estimate. This construction is applied to two examples of partition-based conditional density models, models in which the conditional density depends only in a piecewise manner from the covariate. The first example relies on classical piecewise polynomial densities while the second uses Gaussian mixtures with varying mixing proportion but same mixture components. We show how this last case is related to an unsupervised segmentation application that has been the source of our motivation to this study.
Acoustic-phonetic features for the automatic classification of stop consonants

In this paper, the acoustic-phonetic characteristics of the American English stop consonants are investigated. Features studied in the literature are evaluated for their information content and new features are proposed. A statistically guided, knowledge-based, acoustic-phonetic system for the automatic classification of stops, in speaker independent continuous speech, is proposed. The system uses a new auditory-based front-end processing and incorporates new algorithms for the extraction and manipulation of the acoustic-phonetic features that proved to be rich in their information content. Recognition experiments are performed using hard decision algorithms on stops extracted from the TIMIT database continuous speech of 60 speakers (not used in the design process) from seven different dialects of American English. An accuracy of 96% is obtained for voicing detection, 90% for place of articulation detection and 86% for the overall classification of stops.
Sparse current source estimation for MEG using loose orientation constraints

Spatially focal source estimates for magnetoencephalography (MEG) and electroencephalography (EEG) data can be obtained by imposing a minimum ℓ1‐norm constraint on the distribution of the source currents. Anatomical information about the expected locations and orientations of the sources can be included in the source models. In particular, the sources can be assumed to be oriented perpendicular to the cortical surface. We introduce a minimum ℓ1‐norm estimation source modeling approach with loose orientation constraints (ℓ1LOC), which integrates the estimation of the orientation, location, and strength of the source currents into a cost function to jointly model the residual error and the ℓ1‐norm of the source estimates. Evaluation with simulated MEG data indicated that the ℓ1LOC method can provide low spatial dispersion, high localization accuracy, and high source detection rates. Application to somatosensory and auditory MEG data resulted in physiologically reasonable source distributions. The proposed ℓ1LOC method appears useful for incorporating anatomical information about the source orientations into sparse source estimation of MEG data. Hum Brain Mapp 34:2190–2201, 2013. © 2011 Wiley Periodicals, Inc.
Metabolites Associated with Adaptation of Microorganisms to an Acidophilic, Metal-Rich Environment Identified by Stable-Isotope-Enabled Metabolomics

ABSTRACT Microorganisms grow under a remarkable range of extreme conditions. Environmental transcriptomic and proteomic studies have highlighted metabolic pathways active in extremophilic communities. However, metabolites directly linked to their physiology are less well defined because metabolomics methods lag behind other omics technologies due to a wide range of experimental complexities often associated with the environmental matrix. We identified key metabolites associated with acidophilic and metal-tolerant microorganisms using stable isotope labeling coupled with untargeted, high-resolution mass spectrometry. We observed >3,500 metabolic features in biofilms growing in pH ~0.9 acid mine drainage solutions containing millimolar concentrations of iron, sulfate, zinc, copper, and arsenic. Stable isotope labeling improved chemical formula prediction by >50% for larger metabolites (>250 atomic mass units), many of which were unrepresented in metabolic databases and may represent novel compounds. Taurine and hydroxyectoine were identified and likely provide protection from osmotic stress in the biofilms. Community genomic, transcriptomic, and proteomic data implicate fungi in taurine metabolism. Leptospirillum group II bacteria decrease production of ectoine and hydroxyectoine as biofilms mature, suggesting that biofilm structure provides some resistance to high metal and proton concentrations. The combination of taurine, ectoine, and hydroxyectoine may also constitute a sulfur, nitrogen, and carbon currency in the communities. IMPORTANCE Microbial communities are central to many critical global processes and yet remain enigmatic largely due to their complex and distributed metabolic interactions. Metabolomics has the possibility of providing mechanistic insights into the function and ecology of microbial communities. However, our limited knowledge of microbial metabolites, the difficulty of identifying metabolites from complex samples, and the inability to link metabolites directly to community members have proven to be major limitations in developing advances in systems interactions. Here, we show that combining stable-isotope-enabled metabolomics with genomics, transcriptomics, and proteomics can illuminate the ecology of microorganisms at the community scale. Microbial communities are central to many critical global processes and yet remain enigmatic largely due to their complex and distributed metabolic interactions. Metabolomics has the possibility of providing mechanistic insights into the function and ecology of microbial communities. However, our limited knowledge of microbial metabolites, the difficulty of identifying metabolites from complex samples, and the inability to link metabolites directly to community members have proven to be major limitations in developing advances in systems interactions. Here, we show that combining stable-isotope-enabled metabolomics with genomics, transcriptomics, and proteomics can illuminate the ecology of microorganisms at the community scale.
The Direct Cooling of the Preoptic-Hypothalamic Area Elicits the Release of Thyroid Stimulating Hormone during Wakefulness but Not during REM Sleep

Thermoregulatory responses to temperature changes are not operant during REM sleep (REMS), but fully operant in non-REM sleep and wakefulness. The specificity of the relationship between REMS and the impairment of thermoregulation was tested by eliciting the reflex release of Thyrotropin Releasing Hormone (TRH), which is integrated at hypothalamic level. By inducing the sequential secretion of Thyroid Stimulating Hormone (TSH) and Thyroid Hormone, TRH intervenes in the regulation of obligatory and non-shivering thermogenesis. Experiments were performed on male albino rats implanted with epidural electrodes for EEG recording and 2 silver-copper wire thermodes, bilaterally placed in the preoptic-hypothalamic area (POA) and connected to small thermoelectric heat pumps driven by a low-voltage high current DC power supply. In preliminary experiments, a thermistor was added in order to measure hypothalamic temperature. The activation of TRH hypophysiotropic neurons by the thermode cooling of POA was indirectly assessed, in conditions in which thermoregulation was either fully operant (wakefulness) or not operant (REMS), by a radioimmunoassay determination of plasmatic levels of TSH. Different POA cooling were performed for 120 s or 40 s at current intensities of 80 mA and 125 mA, respectively. At both current intensities, POA cooling elicited, with respect to control values (no cooling current), a significant increase in plasmatic TSH levels in wakefulness, but not during REMS. These results confirm the inactivation of POA thermal sensitivity during REMS and show, for the first time, that this inactivation concerns also the fundamental endocrine control of non-shivering thermogenesis.
Globalisation and Wage Inequalities: A Synthesis of Three Theories

Globalization and Wage Inequalities: A Synthesis of Three Theories. — The theoretical insights of Heckscher and Ohlin, Feenstra and Hanson, and Tang and Wood provide a plausible explanation of the effects of globalization on wage inequalities in developed and developing countries. In combination, these three theories can explain, among other things, why inequality has fallen in some developing countries but risen in others. Improved travel and communications facilities raise the relative wages of highly skilled Northern workers, but in both the North and the South have mixed effects on wage gaps between medium-skilled and unskilled workers, sometimes reinforcing and sometimes offsetting the effects of falling barriers to trade.
Generating functions of stable pair invariants via wall-crossings in derived categories

The notion of limit stability on Calabi-Yau 3-folds is introduced by the author to construct an approximation of Bridgeland-Douglas stability conditions at the large volume limit. It has also turned out that the wall-crossing phenomena of limit stable objects seem relevant to the rationality conjecture of the generating functions of Pandharipande-Thomas invariants. In this article, we shall make it clear how wall-crossing formula of the counting invariants of limit stable objects solves the above conjecture.
A Complex of EpCAM, Claudin-7, CD44 Variant Isoforms, and Tetraspanins Promotes Colorectal Cancer Progression

High expression of EpCAM and the tetraspanin CO-029 has been associated with colorectal cancer progression. However, opposing results have been reported on CD44 variant isoform v6 (CD44v6) expression. We recently noted in rat gastrointestinal tumors that EpCAM, claudin-7, CO-029, and CD44v6 were frequently coexpressed and could form a complex. This finding suggested the possibly that the complex, rather than the individual molecules, could support tumor progression. The expression of EpCAM, claudin-7, CO-029, and CD44v6 expression was evaluated in colorectal cancer (n = 104), liver metastasis (n = 66), and tumor-free colon and liver tissue. Coexpression and complex formation of the molecules was correlated with clinical variables and apoptosis resistance. EpCAM, claudin-7, CO-029, and CD44v6 expression was up-regulated in colon cancer and liver metastasis. Expression of the four molecules did not correlate with tumor staging and grading. However, coexpression inversely correlated with disease-free survival. Coexpression was accompanied by complex formation and recruitment into tetraspanin-enriched membrane microdomains (TEM). Claudin-7 contributes to complex formation inasmuch as in the absence of claudin-7, EpCAM hardly associates with CO-029 and CD44v6 and is not recruited into TEMs. Notably, colorectal cancer lines that expressed the EpCAM/claudin-7/CO-029/CD44v6 complex displayed a higher degree of apoptosis resistance than lines devoid of any one of the four molecules. Expression of EpCAM, claudin-7, CO-029, and CD44v6 by themselves cannot be considered as prognostic markers in colorectal cancer. However, claudin-7–associated EpCAM is recruited into TEM and forms a complex with CO-029 and CD44v6 that facilitates metastasis formation. (Mol Cancer Res 2007;5(6):553–67)
The Impact of Traumatic Symptomology and Social Support on the Effective Management of Death Anxiety

Terror management theory (TMT) posits that people function effectively in the world, in part, by relying on social anxiety-buffer systems to protect against death awareness; however, a new extension called anxiety buffer disruption theory (ABDT), posits that traumatic experiences can overwhelm those buffers, leaving people vulnerable to death anxiety and at increased risk for post-traumatic stress disorder (PTSD) symptoms. To test these hypotheses, participants with low and high posttraumatic stress symptoms were identified and recruited using a general population pre-screen, prompted to engage in a relationship threat priming task (vs. control topic), and then asked to complete a standard measure of death anxiety. The present research found that: 1) when posttraumatic stress symptoms were low, death anxiety was low in a control condition but increased following a threat to social relationships (a known death-anxiety buffer); but, 2) when posttraumatic stress symptoms were high, death anxiety was high in both the social threat and control condition, indicating overwhelmed/disrupted normative buffering. The present research could potentially bear new insights for the understanding of posttraumatic stress, how relate to others, to the world around them, and to their own mortality, and could provide some hints toward practical implications for improving the
Higher LPA2 and LPA6 mRNA Levels in Hepatocellular Carcinoma Are Associated with Poorer Differentiation, Microvascular Invasion and Earlier Recurrence with Higher Serum Autotaxin Levels

Hepatocellular carcinoma (HCC) commonly develops in patients with liver fibrosis; in these patients, the blood levels of lysophosphatidic acid (LPA) and its generating enzyme autotaxin (ATX) increase with the liver fibrosis stage. We aimed to examine the potential relevance of ATX and LPA in HCC. Fifty-eight HCC patients who underwent surgical treatment were consecutively enrolled in the study. Among the LPA receptors in HCC, higher LPA2 mRNA levels correlated with poorer differentiation, and higher LPA6 mRNA levels correlated with microvascular invasion, which suggested a higher malignant potential of HCC with increased LPA2 and LPA6 expression. In patients with primary HCC, neither LPA2 nor LPA6 mRNA levels were associated with recurrence. However, when serum ATX levels were combined for analysis as a surrogate for plasma LPA levels, the cumulative intra-hepatic recurrence rate was higher in patients in whom both serum ATX levels and LPA2 or LPA6 mRNA levels were higher than the median. However, the mRNA level of phosphatidic acid-selective phospholipase A1ɑ, another LPA-generating enzyme, in HCC patients was not associated with pathological findings or recurrence, even in combination with the expression of LPA receptors. Higher LPA2 mRNA levels were associated with poorer differentiation, and higher LPA6 levels were associated with microvascular invasion in HCC; both became a risk factor for recurrence after surgical treatment when combined with increased serum ATX levels. ATX and LPA receptors merit consideration as therapeutic targets of HCC.
Intelligent predictive control methods for synchronous power system

In this paper, an intelligent Model Predictive Controller (MPC) for a Synchronous Power Machine on Infinite Bus (SMIB) is proposed. Owing to the nonlinear and multi-variable nature of the SMIB system, calculating optimal control signals can be difficult. To solve this problem, a novel scheme of predictive controller in tandem with heuristic optimization algorithms is proposed. Numerical simulations are carried out and performance of the controller under different conditions and in combination with different optimizers is analysed in detail. Comparison is made with the performance of existing SMIB controllers present in the literature and improvements are observed.
High School Coaches’ Coaching Efficacy: Relationship with Sport Psychology Exposure and Gender Factors

Coaching efficacy (CE) is largely influenced by mastery experiences such as formal education and coaching experience. However, specific education has not previously been considered in relation to CE. Therefore, examining specific educational experiences, such as those related to sport psychology, which have previously been reported to increase self-efficacy, may prove helpful in advancing CE. Also, previously reported gender differences in CE and perceptions of sport psychology advocate for gender consideration. The purpose of this study was to explore high school coaches’ coaching experience to determine whether sport psychology exposure and gender factors relate to CE. Participants (N = 2,018) completed the Coaching Efficacy Scale II–High School Teams. An analysis of covariance revealed that more sport psychology education and more frequent contact with sport psychology practitioners resulted in statistically higher CE (p < .05). Analysis of covariance indicated that female coaches reported significantly lower CE than males (p < .05), and coaches of only female athletes reported significantly lower motivation efficacy and physical conditioning efficacy than their peer groups (p < .05). Sport psychology consultants and coach educators should consider these differences when consulting and when developing educational materials and workshops.
The Compensatory Interaction Between User Capabiities and Technology Capabilities in Influencing Task Performance: An Empirical Assessment in Telemedicine Consultations

Although technology-enabled task performance has been a long-standing outcome of interest in information systems research, existing studies primarily emphasize characteristics of the technology and task, rather than the user, in shaping performance outcomes. Given that both technology and people have inherent limitations, a worthwhile research pursuit is to examine how one might compensate for the limitations of the other in order to achieve successful task performance. We propose a new conceptualization of user abilities, task-specific user capabilities, and examine their compensatory effects with technology capabilities in shaping performance outcomes within the context of e-consultations (i.e., technology-mediated expert consultations). Specifically, we theorize the user capabilities of presentation (information giving) and elicitation (information seeking) as the task-specific user capabilities in this context. Leveraging the theory of compensatory adaptation, we propose that these user capabilities can overcome the limitations of technology and result in successful task performance outcomes. We employ mixed methods (qualitative field study, survey field study, and a lab experiment) to develop and test our model within the context of telemedicine consultations, a form of e-consultation. Convergent findings across the studies suggest that both user capabilities and technology capabilities are important facilitators of task performance and that these capabilities compensate for each other.
Does Cash for School Influence Young Women's Behavior in the Longer Term? Evidence from Pakistan

The Punjab Female School Stipend Program, a female-targeted conditional cash transfer program in Pakistan, was implemented in response to gender gaps in education. An early evaluation of the program shows that the enrollment of eligible girls in middle school increased in the short term by nearly 9 percentage points. This paper uses regression discontinuity and difference-in-difference analyses to show that five years into the program implementation positive impacts do persist. Beneficiary adolescent girls are more likely to progress through and complete middle school and work less. There is suggestive evidence that participating girls delay their marriage and have fewer births by the time they are 19 years old. Girls who are exposed to the program later, and who are eligible for the benefits given in high school, increase their rates of matriculating into and completing high school. The persistence of impacts can potentially translate into gains in future productivity, consumption, inter-generational human capital accumulation and desired fertility. Lastly, there is no evidence that the program has negative spillover effects on educational outcomes of male siblings.
AN EMPIRICAL INVESTIGATION OF THE ROLE OF MANUFACTURING STRATEGIES AND ENVIRONMENTAL HOSTILITY AS MODERATORS OF TECHNOLOGY-OVERALL PERFORMANCE RELATIONSHIP THE CASE OF INDONESIAN MANUFACTURERS

Technology is hardware and or software employed to solve operational problems effectively in an organization The fact that technology is a potential source of competitive advantage is widely accepted in management and economic literature. Technology adoption creates competitive opportunities and threats for those who adopt them and for those who did not. Although there have been many studies focusing on the determinants of technological adoption and innovation, there is still a dearth of empirical results that relate to technology adoption and performance, especially in the Indonesian manufacturing sector. Based on the findings of the previous studies, the increased used of advanced manufacturing technologies and new management practices cannot be directly related to higher performance, this study try to integrate technological and innovation considerations with manufacturing strategic development. This study focused on the role of manufacturing strategy and environmental hostility in moderating the impact of hard and soft technology on overall performance. The alignment between technology and manufacturing strategy is necessary to ensure success of firms. Data were collected through mailed questionnaires. Respondents were CEOs of medium and large manufacturing firms on Indonesia. The questionnaires were sent to 1000 CEOs manufacturing firms, an 18.41% response rate. Test of non-response bias indicated that the sample is representative for this study. This study finds that both hard and soft technologies have positive impacts on overall firm’s performance. Further, manufacturing strategy and environmental hostility play an important moderating role on the relationship between technology and performance.
Obesity Severity, Dietary Behaviors, and Lifestyle Risks Vary by Race/Ethnicity and Age in a Northern California Cohort of Children with Obesity

Identification of modifiable behaviors is important for pediatric weight management and obesity prevention programs. This study examined obesogenic behaviors in children with obesity in a Northern California obesity intervention program using data from a parent/teen-completed intake questionnaire covering dietary and lifestyle behaviors (frequency of breakfast, family meals, unhealthy snacking and beverages, fruit/vegetable intake, sleep, screen time, and exercise). Among 7956 children with BMI ≥ 95th percentile, 45.5% were females and 14.2% were 3–5, 44.2% were 6–11, and 41.6% were 12–17 years old. One-quarter (24.9%) were non-Hispanic white, 11.3% were black, 43.5% were Hispanic, and 12.0% were Asian/Pacific Islander. Severe obesity was prevalent (37.4%), especially among blacks, Hispanics, and older children, and was associated with less frequent breakfast and exercise and excess screen time, and in young children it was associated with consumption of sweetened beverages or juice. Unhealthy dietary behaviors, screen time, limited exercise, and sleep were more prevalent in older children and in selected black, Hispanic, and Asian subgroups, where consumption of sweetened beverages or juice was especially high. Overall, obesity severity and obesogenic behaviors increased with age and varied by gender and race/ethnicity. We identified several key prevalent modifiable behaviors that can be targeted by healthcare professionals to reduce obesity when counseling children with obesity and their parents.