Miracle-dz/UniFAR-FTUs huggingface dataset:
Random Forests in Language Modelin

In this paper, we explore the use of Random Forests (RFs) (Amit and Geman, 1997; Breiman, 2001) in language modeling, the problem of predicting the next word based on words already seen before. The goal in this work is to develop a new language modeling approach based on randomly grown Decision Trees (DTs) and apply it to automatic speech recognition. We study our RF approach in the context of (cid:2) -gram type language modeling. Unlike regular (cid:2) -gram language models, RF language models have the potential to generalize well to unseen data, even when a complicated history is used. We show that our RF language models are superior to regular (cid:2) -gram language models in reducing both the per-plexity (PPL) and word error rate (WER) in a large vocabulary speech recognition system.
Organophosphate Insecticides Target the Serotonergic System in Developing Rat Brain Regions: Disparate Effects of Diazinon and Parathion at Doses Spanning the Threshold for Cholinesterase Inhibition

Background In the developing brain, serotonin (5HT) systems are among the most sensitive to disruption by organophosphates. Objectives We exposed neonatal rats to daily doses of diazinon or parathion on postnatal days (PND)1–4 and evaluated 5HT receptors and the 5HT transporter in brainstem and forebrain on PND5, focusing on doses of each agent below the maximum tolerated dose and spanning the threshold for cholinesterase inhibition: 0.5, 1, or 2 mg/kg for diazinon, and 0.02, 0.05, and 0.1 mg/kg for parathion. Results Diazinon evoked up-regulation of 5HT1A and 5HT2 receptor expression even at doses devoid of effects on cholinesterase activity, a pattern similar to that seen earlier for another organophosphate, chlorpyrifos. In contrast, parathion decreased 5HT1A receptors, again at doses below those required for effects on cholinesterase. The two agents also differed in their effects on the 5HT transporter. Diazinon evoked a decrease in the brainstem and an increase in the forebrain, again similar to that seen for chlorpyrifos; this pattern is typical of damage of nerve terminals and reactive sprouting. Parathion had smaller, nonsignificant effects. Conclusions Our results buttress the idea that, in the developing brain, the various organophosphates target specific neurotransmitter systems differently from each other and without the requirement for cholinesterase inhibition, their supposed common mechanism of action.
OCCUPATIONAL STRESS SOURCES AMONG UNIVERSITY ACADEMIC STAFF

This study aims to identify stress source among university academic staff with regards to 4 occupation-related areas- interpersonal relationships, research, teaching and career development, and to determine if gender difference existed in stress level of academic in the study variables. The sample consists of 279 (168 males and 111 females) academic staff. Questionnaire was used for data gathering. Findings reveal that students were the greatest source of stress to academic staff with respect to interpersonal relationships, with respect to research, sourcing funds for research was the highest source of stress. With regards to teaching, it was collation of results, while sourcing funds for career development was the highest with respect to career development. Overall result show that career development is the greatest source of stress to academic staff. The results also indicated that male and female academic differed in perceived stress level in teaching. Recommendation made include making more funds available to academic staff for research and career development purposes.
What strategies are viable for developing countries today? The World Trade Organization and the shrinking of ‘development space’

The world is currently experiencing a surge of international regulations aimed at limiting the development policy options of developing country governments. Of the three big agreements coming out of the Uruguay Round – on investment measures (TRIMS), trade in services (GATS), and intellectual property rights (TRIPS) – the first two limit the authority of developing country governments to constrain the choices of companies operating in their territory, while the third requires the governments to enforce rigorous property rights of foreign (generally Western) firms. Together the agreements make comprehensively illegal many of the industrial policy instruments used in the successful East Asian developers to nurture their own industrial and technological capacities and are likely to lock in the position of Western countries at the top of the world hierarchy of wealth. The paper describes how the three agreements constitute a modern version of Friedrich List’s ‘kicking away the ladder’. It then outlines some needed changes in the way we think about development and in the role of multilateral organizations. It concludes that the practical prospects for change along these lines are slender, but not negligible.
Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations

The classical multivariate linear regression problem assumes p variables X1, X2,. ,Xp and a response vector y, each with n observations, and a linear relationship between the two: y = Xbeta + z, where z ~ N(0, sigma2). We point out that when p > n, there is a breakdown point for standard model selection schemes, such that model selection only works well below a certain critical complexity level depending on n/p. We apply this notion to some standard model selection algorithms (Forward Stepwise, LASSO, LARS) in the case where pGtn. We find that 1) the breakdown point is well-de ned for random X-models and low noise, 2) increasing noise shifts the breakdown point to lower levels of sparsity, and reduces the model recovery ability of the algorithm in a systematic way, and 3) below breakdown, the size of coef cient errors follows the theoretical error distribution for the classical linear model.
Choice of becoming self-employed in Belarus: Impact of monetary gains

Development of self-employment becomes increasingly important issue for the transitional economy of Belarus. However the role of pecuniary benefits in terms of moving people towards self-employment is not explored, and neither is the question of whether the direction of its impact is different for men and women in Belarus. The paper investigates that question using 2006-2010 Belarusian Household Survey on Incomes and Expenditures and is based on the multinomial logit choice model. To get selectivity corrected predicted earnings the methodology proposed by Bourguignon et al. (2007) is applied. The obtained results show that higher expected earnings attract women to turn into entrepreneurship compared with paid-employment while pecuniary benefits do not have significant effect on choice of men. Education, age and risk factor appear to be important influencing factors in terms of choice depending on the gender of an entrepreneur.
Over-the-air Function Computation in Sensor Networks

Many sensor applications are interested in computing a function over measurements (e.g., sum, average, max) as opposed to collecting all sensor data. Today, such data aggregation is done in a cluster-head. Sensor nodes transmit their values sequentially to a cluster-head node, which calculates the aggregation function and forwards it to the base station. In contrast, this paper explores the possibility of computing a desired function over the air. We devise a solution that enables sensors to transmit coherently over the wireless medium so that the cluster-head directly receives the value of the desired function. We present analysis and preliminary results that demonstrate that such a design yield a large improvement in network throughput.
Sustainable competitive advantage or temporary competitive advantage: Improving understanding of an important strategy construct

Purpose – Competitive advantage is an important construct in the strategy discipline. The purpose of this paper is to explore an appropriate definition of competitive advantage, seek to identify sources of competitive advantage for firms and improve understanding of why in many industries for many firms competitive advantage is only a temporary outcome due to the influence of environmental uncertainty.Design/methodology/approach – The paper undertakes a synthesis of classic and contemporary insights into competitive advantage in the literature to assist the development of several research propositions.Findings – By introducing the perceived environmental uncertainty construct to discussion on the relationship between firm resources, competitive advantage and organization performance, understanding of sustained competitive advantage and temporary competitive advantage is enhanced.Research limitations/implications – Through the development of the research propositions the paper helps to clarify terminology .
Exchange Rate Movements and Their Impact on Trade and Investment in the Apec Region

The 18 members of the Asia-Pacific Economic Cooperation Council (APEC) encompass not only a wide geographic area but also broad differences in stages of economic development, including among them some of the fastest- growing economies in the world. Such rapid growth has been ficilitated by high levels of investment and trade, international linkages, and, in most APEC economies, macroeconomic policies that have sustained growth while not sparking excessive inflation. This study offers insights about how medium and long-term changes in real exchange rates have affected international (and intra-APEC) trade and investment in the region.
A Comparative Study on Arabic Text Classification

This paper focuses on Automatic Arabic classifications. Arabic language is highly inflectional and derivational language which makes text mining a complex task. In classifying Arabic text, there are many published experimental results. Since these results came from different datasets, authors and evaluation metrics, we cannot compare the performance of the experimented classifiers. In this paper, we compared six well known classifiers, which are: Maximum entropy, Naive Bayes, Decision Tree, Artificial Neural Networks, Support Vector Machine ,and k-Nearest Neighbor using the same data sets and the same experimental settings. The recall , precision and fmeasure for the classifiers are computed and compared. Then, the comparison has been done after applying feature selection on Arabic datasest.
The buzz about bees and poverty alleviation: Identifying drivers and barriers of beekeeping in sub-Saharan Africa

The potential of beekeeping to mitigate the exposure of rural sub-Sahara African farmers to economic stochasticity has been widely promoted by an array of development agencies. Robust outcome indicators of the success of beekeeping to improve household well-being are unfortunately lacking. This study aimed to identify the key drivers and barriers of beekeeping adoption at the household level, and quantified the associated income contribution in three agro-ecological zones in Uganda. Beekeepers were generally the most economically disadvantaged people in the study areas and tended to adopt beekeeping following contact with non-government organisations and access to training. Whilst incomes were not statistically lower than their non-beekeeping counterparts; their mean household well-being scores were significantly lower than non-beekeeping households. The inability of beekeeping to significantly improve well-being status can in part be attributed to a lack of both training in bee husbandry and protective equipment provision such as suits, gloves and smokers. These are critical tools for beekeepers as they provide the necessary confidence to manage honey bees. Rather than focussing solely on the socio-economic conditions of farmers to effectively adopt beekeeping, future research should also attempt to evaluate the effectiveness of development agencies’ provision to the beekeeping sector.
The Stability of Large External Imbalances: The Role of Returns Differentials

Were the U.S. to persistently earn substantially more on its foreign investments ("U.S. claims") than foreigners earn on their U.S. investments ("U.S. liabilities"), the likelihood that the current environment of sizeable global imbalances will evolve in a benign manner increases. However, utilizing data on the actual foreign equity and bond portfolios of U.S. investors and the U.S. equity and bond portfolios of foreign investors, we find that the returns differential of U.S. claims over U.S. liabilities is essentially zero. Ending our sample in 2005, the differential is positive, whereas through 2004 it is negative; in both cases the differential is statistically indecipherable from zero. Moreover, were it not for the poor timing of investors from developed countries, who tend to shift their U.S. portfolios toward (or away from) equities prior to the subsequent underperformance (or strong performance) of equities, the returns differential would be even lower. Thus, in the context of equity and bond portfolios we find no evidence that the U.S. can count on earning more on its claims than it pays on its liabilities.
Stock Chatter: Using Stock Sentiment to Predict Price Direction

This paper examines a popular stock message board and finds slight daily predictability using supervised learning algorithms when combining daily sentiment with historical price information. Additionally, with the profit potential in trading stocks, it is of no surprise that a number of popular financial websites are attempting to capture investor sentiment by providing an aggregate of this negative and positive online emotion. We question if the existence of dishonest posters are capitalizing on the popularity of the boards by writing sentiment in line with their trading goals as a means of influencing others, and therefore undermining the purpose of the boards. We exclude these posters to determine if predictability increases, but find no discernible difference.
Molecular simplification of 1,4-diazabicyclo[4.3.0]nonan-9-ones gives piperazine derivatives that maintain high nootropic activity.

Several 4-substituted 1-acylpiperazines, obtained by molecular simplification of 4-substituted 1,4-diazabicyclo[4.3. 0]nonan-9-ones, have been synthesized and tested in vivo on the mouse passive avoidance test, to evaluate their nootropic activity. The results show that, apparently, an N-acylpiperazine group can mimic the 2-pyrrolidinone ring of 1,4-diazabicyclo[4.3. 0]nonan-9-one, as the compounds of the new series maintain high nootropic activity. Moreover molecular simplification produces more clear-cut structure-activity relationships with respect to the parent series. The mechanism of action also appears to be similar in the two series. In fact, although the molecular mechanism remains to be elucidated, the most potent compound of each class (DM232 and 13, DM235) is able to increase acetylcholine release in rat brain. Piperazine derivatives represent a new class of nootropic drugs with an in vivo pharmacological profile very similar to that of piracetam, showing much higher potency with respect to the reference compound. Among the compounds studied, 13 (DM235) shows outstanding potency, being active at a dose of 0.001 mg kg(-1) sc.
PredHSP: Sequence Based Proteome-Wide Heat Shock Protein Prediction and Classification Tool to Unlock the Stress Biology

Heat shock proteins are chaperonic proteins, which are present in every domain of life. They play a crucial role in folding/unfolding of proteins, their sorting and assembly into multi-protein complex, cell cycle control and also protect the cell during stress. Considering the fact that no web-based predictor is available for simultaneous prediction and classification of HSPs, it is imperative to develop a method, which can predict and classify them efficiently. In this study, we have developed coupled amino acid composition and support vector machine based two-tier method, PredHSP that identifies heat shock proteins (1st tier) and classifies it to different families (at 2nd tier). At 1st tier, we achieved maximum accuracy 76.66% with MCC 0.43, while at 2nd tier we achieved maximum accuracy 96.36% with MCC 0.87 for HSP20, 91.91% with MCC 0.83 for HSP40, 95.96% with MCC 0.72 for HSP60, 91.87% with MCC 0.71 for HSP70, 98.43% with MCC 0.70 for HSP90 and 97.48% with MCC 0.71 for HSP100. We have also developed a webserver, as well as standalone package for the use of scientific community, which can be accessed at http://14.139. 227.92/mkumar/predhsp/index.html.
Engendering Agricultural Research, Development, and Extension

Research has shown that women, when given the capital and opportunity, make unique, positive contributions to development outcomes ranging from agricultural productivity to poverty reduction. It comes as little surprise, then, that agricultural research, development, and extension systems are generally more successful when scientists, researchers, and extension agents pay attention to gender issues. However, women continue to be underrepresented and underserved, and their contributions remain mostly untapped in national and international agricultural research. Worldwide, gender roles are culturally defined in all aspects of farming, from control of resources to production and marketing, and these definitions constrain and marginalize women. Even within the agricultural research community, most scientists and extension agents are male.Engendering Agricultural Research, Development, and Extension argues that the paradigm for agricultural and food security development needs to move beyond a focus on production and toward a broader view of agricultural and food systems, one that recognizes women's distinct role in ensuring the food security of their households. Incorporating gender issues into agricultural research and paying attention to gender sensitivity when developing extension systems is necessary to meet the needs and preferences of men and women, satisfy the food needs of future populations, and improve the welfare of the poor.
Epidemiology of human infections with avian influenza A(H7N9) virus in China.

BACKGROUND The first identified cases of avian influenza A(H7N9) virus infection in humans occurred in China during February and March 2013. We analyzed data obtained from field investigations to describe the epidemiologic characteristics of H7N9 cases in China identified as of December 1, 2013. METHODS Field investigations were conducted for each confirmed case of H7N9 virus infection. A patient was considered to have a confirmed case if the presence of the H7N9 virus was verified by means of real-time reverse-transcriptase-polymerase-chain-reaction assay (RT-PCR), viral isolation, or serologic testing. Information on demographic characteristics, exposure history, and illness timelines was obtained from patients with confirmed cases. Close contacts were monitored for 7 days for symptoms of illness. Throat swabs were obtained from contacts in whom symptoms developed and were tested for the presence of the H7N9 virus by means of real-time RT-PCR. RESULTS Among 139 persons with confirmed H7N9 virus infection, the median age was 61 years (range, 2 to 91), 71% were male, and 73% were urban residents. Confirmed cases occurred in 12 areas of China. Nine persons were poultry workers, and of 131 persons with available data, 82% had a history of exposure to live animals, including chickens (82%). A total of 137 persons (99%) were hospitalized, 125 (90%) had pneumonia or respiratory failure, and 65 of 103 with available data (63%) were admitted to an intensive care unit. A total of 47 persons (34%) died in the hospital after a median duration of illness of 21 days, 88 were discharged from the hospital, and 2 remain hospitalized in critical condition; 2 patients were not admitted to a hospital. In four family clusters, human-to-human transmission of H7N9 virus could not be ruled out. Excluding secondary cases in clusters, 2675 close contacts of case patients completed the monitoring period; respiratory symptoms developed in 28 of them (1%); all tested negative for H7N9 virus. CONCLUSIONS Most persons with confirmed H7N9 virus infection had severe lower respiratory tract illness, were epidemiologically unrelated, and had a history of recent exposure to poultry. However, limited, nonsustained human-to-human H7N9 virus transmission could not be ruled out in four families.
HbA(1c) levels among American Indian/Alaska Native adults.

OBJECTIVE Type 2 diabetes is a major public health problem among many American Indian/Alaska Native communities. Elevated levels of HbA(1c) have been observed in younger American Indian/Alaska Native adults. The objectives of this study were: 1) to determine whether HbA(1c) levels were elevated among younger American Indian/Alaska Native adults nationally and, if so, 2) to determine the relationship between HbA(1c) levels and age due to treatment type, BMI, renal disease, duration of diabetes, survival, or a poor diabetes health care index. RESEARCH DESIGN AND METHODS The national Indian Health Service Diabetes Care and Outcomes Audit was completed for a total of 11,419 American Indian/Alaska Native adults with type 2 diabetes from tribes across the U.S. in 1998. Glucose control was assessed by HbA(1c). BMI, diabetes duration, treatment type, and proteinuria were assessed from the Diabetes Care and Outcomes Audit data. To assess diabetes quality of care, an index was developed from six standard of care Diabetes Care and Outcomes Audit variables. RESULTS We found HbA(1c) level decreased with increasing age. HbA(1c) levels were 9.2, 8.9, 8.8, 8.3, and 7.8 for ages 18-39, 40-49, 50-59, 60-69, and > or =70 years, respectively (P < 0.0001). This inverse relationship was not accounted for by differences in BMI, diabetes duration, treatment type, proteinuria, or health care index. CONCLUSIONS Among American Indian/Alaska Native adults, HbA(1c) levels were highest in the youngest age-group. With increasing numbers of young American Indian/Alaska Native adults with diabetes, poorer glucose control is expected to bring concomitant increased morbidity and mortality unless more effective and efficient interventions are developed to improve glucose control among young American Indian/Alaska Native adults.
Noise Improves Cognitive Performance in Children with Dysfunctional Dopaminergic Neurotransmission

Research on children with Attention Deficit Hyperactivity Disorder (ADHD) has shown that they are extremely sensitive to distraction from external stimuli that lead to poor cognitive performance. This thesis shows that cognitive performance can be improved if this external stimulus is smooth and continuous (e.g. auditory white noise). Control children attenuate their performance under such conditions. The first Study proposes the moderate brain arousal model (MBA). This neurocomputational model predicts selective improvement from noise in ADHD children. Noise through a phenomenon called stochastic resonance (SR), can be beneficial in dopamine deprived neural systems. The statistical phenomenon of SR explains how the signalto-noise ratio can be improved by noise in neural systems where the passing a threshold is required. The second Study provides experimental support for the MBA-model by showing that ADHD children improve performance in a free recall task while exposed to auditive noise. Control children declines in the same condition. The third Study generalizes this finding among low achieving children, which it is argued have low dopamine levels. Noise exposure improves performance in low achievers, but inhibits performance in high achievers. The conclusion is that external auditory noise can restore low dopamine levels and thus improve cognitive performance. It is also proposed that dopamine levels modulate the SR effect; this means that low dopamine persons require more noise to obtain an SR effect. Both excessive and insufficient dopamine is detrimental for cognitive performance. The MBA model can be used to explain several shortcomings where changes in the dopamine system have been identified. The MBA model can also help create appropriate and adaptive environments, especially in schools, for persons with a deficient dopamine function, such as ADHD children.