Miracle-dz/UniFAR-FTUs huggingface dataset:
Cytogenetic damage in female Chilean agricultural workers exposed to mixtures of pesticides

The VIII Region of Bío‐Bío is a major fruit‐growing area of Chile that makes intensive use of agricultural pesticides. The cytogenetic damage associated with exposure to mixtures of pesticides was evaluated by comparing peripheral blood lymphocyte micronucleus (MN) frequencies in a group of 64 female agricultural workers and 30 female controls. The exposed subjects worked during the spring and summer in thinning and pruning fruit trees and in harvesting and packing different fruits, such as raspberries, grapes, apples, and kiwis. They did not use any protective measures during their work activities. A significant increase in the frequency of binucleated cells with micronuclei (BNMN) was found in the exposed women as compared with the controls (36.94 ± 14.47 vs. 9.93 ± 6.17 BNMN/1000 BN cells; P < 0.001). The frequency of BNMN varied as a function of age in both the exposed and control groups, but no correlation was found between BNMN frequency and the duration of exposure. Also, smoking and other habits had no effect on MN frequency. Our study confirms that occupational exposure to pesticide mixtures results in cytogenetic damage. Environ. Mol. Mutagen. , 2005. © 2004 Wiley‐Liss, Inc.
High efficiency transfection of primary skeletal muscle cells with lipid‐based reagents

Lipofection is a convenient method for gene transfer into muscle cells but reportedly is inefficient. We tested the efficacy of commercially available lipid‐based and polyamine transfection reagents. Primary rat skeletal muscle cell cultures were transfected at three stages of development and assayed after fusion. Efficiency reached 30% during the proliferation stage and up to 23% when most myoblasts had fused into myotubes. Optimization of transfection conditions with three different vectors yielded efficiencies exceeding 50%. Thus, lipid‐based transfection into primary skeletal muscle cells can be several times more efficient than previously reported. © 2002 Wiley Periodicals, Inc. Muscle Nerve 26: 136–140, 2002
Novel CASK mutations in cases with syndromic microcephaly

Mutations in CASK cause a wide spectrum of phenotypes in humans ranging from mild X‐linked intellectual disability to a severe microcephaly (MC) and pontocerebellar hypoplasia syndrome. Nevertheless, predicting pathogenicity and phenotypic consequences of novel CASK mutations through the exclusive consideration of genetic information and population‐based data remains a challenge. Using whole exome sequencing, we identified four novel CASK mutations in individuals with syndromic MC. To understand the functional consequences of the different point mutations on the development of MC and cerebellar defects, we established a transient loss‐of‐function zebrafish model, and demonstrate recapitulation of relevant neuroanatomical phenotypes. Furthermore, we utilized in vivo complementation studies to demonstrate that the three point mutations confer a loss‐of‐function effect. This work endorses zebrafish as a tractable model to rapidly assess the effect of novel CASK variants on brain development.
Selected measures of the impact of monetary decisions on inflation

The principal and fundamental monetary policy target is low and stable inflation, because such inflation impacts on the stability of the financial system and promotes balanced economic growth in the long term. The monetary decisions, having an impact on inflation, may be contemplated as the foundations for stronger and more balanced economic growth. A suitable monetary policy that maintains production near to potential production and that balances demand and supply shock in the economy is the necessary condition for the achievement of low and stable inflation. For analysis of the impact of monetary decisions on inflation we use the traditional vector autoregression model of reduced order of monetary policy. In this paper we present the selected measures of the impact of monetary decisions on inflation using the generalized impulse response. We present the standardized difference between the inflation rate for the scenario with the shock and the inflation rate without the occurrence of shock – the measure taking into account the cumulative impact of monetary policy impulse on inflation and the long-term impact of monetary policy impulse on inflation.
Intestinal Carbamoyl Phosphate Synthase I in Human and Rat: Expression During Development Shows Species Differences and Mosaic Expression in Duodenum of Both Species

The clinical importance of carbamoyl phosphate synthase I (CPSI) relates to its capacity to metabolize ammonia, because CPSI deficiencies cause lethal serum ammonia levels. Although some metabolic parameters concerning liver and intestinal CPSI have been reported, the extent to which enterocytes contribute to ammonia conversion remains unclear without a detailed description of its developmental and spatial expression patterns. Therefore, we determined the patterns of enterocytic CPSI mRNA and protein expression in human and rat intestine during embryonic and postnatal development, using in situ hybridization and immunohistochemistry. CPSI protein appeared during human embryogenesis in liver at 31–35 e.d. (embryonic days) before intestine (59 e.d.), whereas in rat CPSI detection in intestine (at 16 e.d.) preceded liver (20 e.d.). During all stages of development there was a good correlation between the expression of CPSI protein and mRNA in the intestinal epithelium. Strikingly, duodenal enterocytes in both species exhibited mosaic CPSI protein expression despite uniform CPSI mRNA expression in the epithelium and the presence of functional mitochondria in all epithelial cells. Unlike rat, CPSI in human embryos was expressed in liver before intestine. Although CPSI was primarily regulated at the transcriptional level, CPSI protein appeared mosaic in the duodenum of both species, possibly due to post-transcriptional regulation.
Population structure of Daubenton’s bats is responding to microclimate of anthropogenic roosts

Roost microclimate plays an important role in the survival, growth and reproduction in microbats. Entering torpor is one of the main energy saving mechanisms commonly used by microbats. The use of torpor is affected by roost microclimate and seasonally differs between the two sexes in relation to their reproductive condition. Consequently, thermal properties of male and female roosts should differ. To test this hypothesis, we compared temperature parameters of two anthropogenic day roosts of Daubenton’s bats with a different structure of the population inhabiting them. In accordance with our predictions, the roost occupied by a male-dominated colony was colder and more fluctuant than the maternity roost with a female-dominated population. However, using of the two roosts changed during the season in response to changing energetic demands of the two sexes. While males were almost absent in the warmer maternity roost during pregnancy and lactation, they appeared in this roost during the post-lactation when mating starts. In contrast, females did not use the colder (male) roost until the time of weaning of juveniles, i.e., the time when their thermoregulatory needs change and they may benefit from using colder roost. Our study provides the evidence that the same roost may be used by individuals of different sex and reproductive state in different periods of the year. Generalizations about roost selection without knowledge of temporal variation in roost use and microclimatic conditions should be taken with caution. Anthropogenic roosts may be advantageous to Daubenton’s bats as these can provide a variety of suitable microclimates and/or more space for roosting than tree cavities.
Integrating Subjective and Objective Dimensions of Resilience in Fire-Prone Landscapes

Abstract Resilience has become a common goal for science-based natural resource management, particularly in the context of changing climate and disturbance regimes. Integrating varying perspectives and definitions of resilience is a complex and often unrecognized challenge to applying resilience concepts to social–ecological systems (SESs) management. Using wildfire as an example, we develop a framework to expose and separate two important dimensions of resilience: the inherent properties that maintain structure, function, or states of an SES and the human perceptions of desirable or valued components of an SES. In doing so, the framework distinguishes between value-free and human-derived, value-explicit dimensions of resilience. Four archetypal scenarios highlight that ecological resilience and human values do not always align and that recognizing and anticipating potential misalignment is critical for developing effective management goals. Our framework clarifies existing resilience theory, connects literature across disciplines, and facilitates use of the resilience concept in research and land-management applications.
revised version forthcoming in the Journal of International Economics Trade Deflection and Trade Depression †

This is the first paper to empirically examine whether a country’s use of an import restricting trade policy distorts a foreign country’s exports to third markets. We first develop a theoretical model of worldwide trade in which the imposition of antidumping and safeguard tariffs, or “trade remedies,” by one country causes significant distortions in world trade flows. We then empirically test this model by investigating the effect of the United States’ use of such import restrictions on Japanese exports of roughly 4800 products into 37 countries between 1992 and 2001. Our estimation yields evidence that US restrictions both deflect and depress Japanese export flows to third countries. Imposition of a US antidumping measure against Japan deflects trade, as the average antidumping duty on Japanese exports leads to a 5-7% increase in Japanese exports of the same product to the average third country market. The imposition of a US antidumping measure against a third country depresses trade, as the average US duty imposed on a third country leads to a 5-19% decrease in Japanese exports of that same product to the average third country’s market. We also document the substantial variation in trade deflection and trade depression across different importing countries and exported products. JEL No. F10, F12, F13
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks

auDeep is a Python toolkit for deep unsupervised representation learning from acoustic data. It is based on a recurrent sequence to sequence autoencoder approach which can learn representations of time series data by taking into account their temporal dynamics. We provide an extensive command line interface in addition to a Python API for users and developers, both of which are comprehensively documented and publicly available at this https URL Experimental results indicate that auDeep features are competitive with state-of-the art audio classification.
The Visible Human data set: an image resource for anatomical visualization.

The National Library of Medicine (NLM) has long been a world leader in the archiving and distribution of the print-based images of biology and medicine. NLM has also been a pioneer in the use of computer systems to encode and distribute textual knowledge of the life sciences. NLM's Long Range Planning effort of 1985-86 foresaw a coming era where NLM's bibliographic and factual database services would be complemented by libraries of digital images, distributed over high speed computer networks and by high capacity physical media. The NLM Planning Panel on Electronic Imaging recommended that NLM should undertake the building of a digital image library consisting of computer-assisted tomography (CAT), magnetic resonance interferometry (MRI), and cryosection images of a representative, carefully selected and prepared male and female cadaver--the "Visible Human Project. " The male Visible Human data set is now being made available through a license agreement with the NLM. A wide range of educational, diagnostic, treatment planning, and commercial uses is predicted. The Visible Human data set and its associated identification maps will serve as a "Boston Teapot" for medical imaging, a common public domain data set against which all medical imaging algorithms can be tested, and a cornerstone for future sets of related image libraries.
Reinforcement Learning with Classifier Selection for Focused Crawling

Focused crawlers are programs that wander in the Web, using its graph structure, and gather pages that belong to a specific topic. The most critical task in Focused Crawling is the scoring of the URLs as it designates the path that the crawler will follow, and thus its effectiveness. In this paper we propose a novel scheme for assigning scores to the URLs, based on the Reinforcement Learning (RL) framework. The proposed approach learns to select the best classifier for ordering the URLs. This formulation reduces the size of the search space for the RL method and makes the problem tractable. We evaluate the proposed approach on-line on a number of topics, which offers a realistic view of its performance, comparing it also with a RL method and a simple but effective classifier-based crawler. The results demonstrate the strength of the proposed approach.
Physiological Tremor Estimation With Autoregressive (AR) Model and Kalman Filter for Robotics Applications

This paper focuses on developing a simple and efficient tremor estimation algorithm suitable for real-time applications. Autoregressive model in combination with Kalman filter is employed for tremor estimation in robotics devices. A research is conducted with tremor data recorded from surgeons and novice subjects for model identification and characteristics. Results show that appropriate choice of model parameters improves the estimation accuracy. Comparison with existing tremor estimation methods is performed to analyze the performance. Experimental results for 1-DOF tremor estimation are provided to validate the approach.
Transcriptomic study to understand thermal adaptation in a high temperature-tolerant strain of Pyropia haitanensis

Pyropia haitanensis, a high-yield commercial seaweed in China, is currently undergoing increasing levels of high-temperature stress due to gradual global warming. The mechanisms of plant responses to high temperature stress vary with not only plant type but also the degree and duration of high temperature. To understand the mechanism underlying thermal tolerance in P. haitanensis, gene expression and regulation in response to short- and long-term temperature stresses (SHS and LHS) was investigated by performing genome-wide high-throughput transcriptomic sequencing for a high temperature tolerant strain (HTT). A total of 14,164 differential expression genes were identified to be high temperature-responsive in at least one time point by high-temperature treatment, representing 41.10% of the total number of unigenes. The present data indicated a decrease in the photosynthetic and energy metabolic rates in HTT to reduce unnecessary energy consumption, which in turn facilitated in the rapid establishment of acclimatory homeostasis in its transcriptome during SHS. On the other hand, an increase in energy consumption and antioxidant substance activity was observed with LHS, which apparently facilitates in the development of resistance against severe oxidative stress. Meanwhile, ubiquitin-mediated proteolysis, brassinosteroids, and heat shock proteins also play a vital role in HTT. The effects of SHS and LHS on the mechanism of HTT to resist heat stress were relatively different. The findings may facilitate further studies on gene discovery and the molecular mechanisms underlying high-temperature tolerance in P. haitanensis, as well as allow improvement of breeding schemes for high temperature-tolerant macroalgae that can resist global warming.
Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level

We propose a model that employs convolutional neural networks (CNN) to evaluate sociomoral reasoning maturity, a key social ability, necessary for adaptive social functioning. Our model is used in a serious game to evaluate learners. It uses pre-annotated textual data (verbatims) and a coding scheme (SoMoral) applied by experts in psychology. State of the art text classification algorithms (Support Vector Machine, Naïve Bayes, etc.) achieved low results in our context in contrary to the CNN that achieved best results with little fine tuning on the input data representation. We use a simple but efficient input data vectors representation learnt directly from the dataset without loosing the sentences ‘semantic’. We present a series of experiments with 5 baseline text classification algorithms and 4 baseline data representation. The results show that our model can predict the level of sociomoral reasoning with about 92% of accuracy. Our findings allow not only to advance the text-mining field but also the user modeling in highly social adaptive systems.
A narrative and hermeneutic approach to understanding the career development of ten professional black South African women.

This study uses a narrative and hermeneutic approach to explore the career development often professional Black South African women. Using an interview guide developed by Brown and Gilligan (1991) and adapted by Mautner and Doucet (1996) career narratives were collected from the ten women. The narratives were analysed using a Reading Guide (Tappan and Brown, 1992). This method involved reading each narrative a number of times, focusing on a particular aspect ofthe respondent's narrative with each reading. Four major themes emerged through the process of interpretation; 1) contextualised career narratives, 2) positive non-directional career narratives, 3) the social embeddedness of the career narratives and 4) gendered career development. A number of recommendations for research, practice and theory building were made on the basis of the interpretation.
“A Shrinking Kind of Life”: Gay Men’s Experience of Aging With HIV

More people are living with HIV into midlife and older age. Although increased longevity brings new hope, it also raises unanticipated challenges—especially for gay men who never thought they would live into middle and older age. Middle-aged and older people are more likely to face multiple comorbidities, yet many lack the necessary supports to help them adapt to the challenges of aging with HIV. This article presents the findings of a qualitative study developed to explore gay men’s experience of aging with HIV. Multiple in-depth exploratory interviews were conducted with 15 gay-identified men living with HIV/AIDS over an 18-month period. A systematic strategy data analysis consistent with grounded theory revealed a pattern of subtle adjustments to living with HIV that resulted in diminishing circles of social support and social involvement. This dynamic is referred to as “a shrinking kind of life,” an in-vivo code built from the participant’s own words. Four themes from the research (physical challenges, a magnitude of loss, internal changes, & stigma) are discussed. Conclusions include recommendations for future research and implications for practice in the field. Practitioners knowledgeable of the factors that impact their social involvement can empower gay men through individual and group interventions to confront a shrinking kind of life and define for themselves what it means to optimally age with HIV.
Avoiding or coping with severe hypoglycemia in patients with type 2 diabetes

Hypoglycemia is a major barrier to achieving the glycemic goal in patients with type 2 diabetes. In particular, severe hypoglycemia, which is defined as an event that requires the assistance of another person to actively administer carbohydrates, glucagon, or take other corrective actions, is a serious clinical concern in patients with diabetes. If severe hypoglycemia is not managed promptly, it can be life threatening. Hypoglycemia-associated autonomic failure (HAAF) is the main pathogenic mechanism behind severe hypoglycemia. Defective glucose counter-regulation (altered insulin secretion, glucagon secretion, and an attenuated increase in epinephrine during hypoglycemia) and a lack of awareness regarding hypoglycemia (attenuated sympathoadrenal activity) are common components of HAAF in patients with diabetes. There is considerable evidence that hypoglycemia is an independent risk factor for cardiovascular disease. In addition, hypoglycemia has a significant influence on the quality of life of patients with diabetes. To prevent hypoglycemic events, the setting of glycemic goals should be individualized, particularly in elderly individuals or patients with complicated or advanced type 2 diabetes. Patients at high-risk for the future development of severe hypoglycemia should be selected carefully, and intensive education with reinforcement should be implemented.
Point‐of‐Care Ultrasound as a Component of Preparticipation Screening of Athletes: A Systematic Review

This review examined whether the addition of point‐of‐care ultrasound (POCUS) to electrocardiography (ECG)‐inclusive preparticipation screening strategies has the potential to reduce false‐positive results and detect diseases associated with sudden cardiac death that may not be identified through current modalities. Five studies, representing 2646 athletes, demonstrated that ECG‐inclusive preparticipation screening strategies resulted in positive results in 19.9% of the cohort. With the addition of POCUS, positive results were reduced to 4.9%, and 1 additional condition potentially associated with sudden cardiac death was identified. The magnitude of positive results with POCUS may be reduced if current ECG criteria were applied.
India's Economic Growth History: Fluctuations, Trends, Break Points and Phases

This paper reviews India's growth performance since independence. One of the innovations in this paper is to take explicit account of rainfall variations that play a very important role in the Indian economy. This allows us to determine whether the Indian economy has become less dependent on the monsoons ('drought proof'). It also allows a statistically more accurate determination of the different phases of Indian economic growth. These phases are linked to different policy regimes and therefore allow us to evaluate the impact of a set of policies on economic growth.