Miracle-dz/UniFAR-FTUs huggingface dataset:
Snatch Technique of Collegiate National Level Weightlifters

Bar trajectory during weightlifting movements is related to the position of the body during the lift and the displacement of the feet during the drop-under phase. The purpose of this study was to examine anterior-posterior foot displacement and its relationship with performance in the snatch of collegiate weightlifters. Snatch attempts of men weightlifters from the 1998 U.S.A. Weightlifting Collegiate National Championships were analyzed for horizontal displacement of the feet by video analysis. Lifts were analyzed under 2 conditions: all lifts combined and the heaviest successful attempt for each lifter. Lifts (n = 74) were placed into 4 groups: forward displacement (FD, >2.5 cm); no displacement (ND, ±2.5 cm); rearward displacement (RD, >2.5 cm); and those that showed asymmetric (AS, >7 cm difference in right and left foot) displacement of the feet. Chi-square revealed no significant difference in success rate between groups for all attempts. No statistically significant differences were noted between groups in body mass to bar mass ratio or Sinclair formula for heaviest successful attempts. Results indicate that foot displacement did not significantly affect snatch success or lifting ability in collegiate national level lifters.
Phase II Trial Alternating FOLFOX-6 and FOLFIRI Regimens in Second-Line Therapy of Patients with Metastatic Colorectal Cancer (FIREFOX Study)

We assessed a schedule alternating 4 FOLFOX and 4 FOLFIRI cycles in 39 patients with 5-FU resistant metastatic colorectal cancer. Patients alternatively received 4 FOLFOX-6 cycles (oxaliplatin 100 mg/m2, leucovorin 200 mg/m2 d1 followed by bolus 400 mg/m2 5-FU and by a 46-hour 2,400 mg/m2 5-FU infusion, every 2 weeks), and 4 FOLFIRI cycles (oxaliplatin replaced by irinotecan 180 mg/m2 d1) until progression or limiting toxicity. Eigteen patients achieved an objective response (46.1 percent). Median progression-free and overall survivals were 8.8 and 18.7 months, respectively. Only 2 patients (5.1 percent) had Grade 3 oxaliplatin-related sensory-neuropathy. This schedule had so promising efficacy and safety.
Conformational changes of the BS2 operator DNA upon complex formation with the Antennapedia homeodomain studied by NMR with 13C/15N-labeled DNA.

The NMR structures have been determined for a 13C/15N doubly labeled 14 base-pair DNA duplex comprising the BS2 operator sequence both free in solution and in the complex with the Antennapedia homeodomain. The impact of the DNA labeling is assessed from comparison with a previous structure of the same complex that was determined using isotope labeling only for the protein. Differences between the two structure determinations are nearly completely limited to the DNA, which retains the global B -conformation of the free DNA also in the complex. Local protein-induced conformational changes are a narrowing of the minor groove due to the interaction with the N-terminal arm of the homeodomain, and changes of the sugar puckers of the deoxyriboses G5 and C6, which are apparently induced by van der Waals interactions with Tyr25, and with Gln50 and Arg53, respectively. The high conservation of these amino acid residues in homeodomains suggests that protein-induced shifts in some sugar puckers contribute to the affinity of homeodomains to their cognate DNA. The data obtained here with the Antennapedia homeodomain-DNA complex clearly show that nucleic acid isotope-labeling can support detailed conformational characterization of DNA in complexes with proteins, which will be indispensable for structure determinations of complexes containing globally distorted DNA conformations.
Biological Activities of Three Essential Oils of the Lamiaceae Family

Herbs and spices have been used since ancient times to improve the sensory characteristics of food, to act as preservatives and for their nutritional and healthy properties. Herbs and spices are generally recognized as safe (GRAS) and are excellent substitutes for chemical additives. Essential oils are mixtures of volatile compounds obtained, mainly by steam distillation, from medicinal and aromatic plants. They are an alternative to synthetic additives for the food industry, and they have gained attention as potential sources for natural food preservatives due to the growing interest in the development of safe, effective, natural food preservation. Lamiaceae is one of the most important families in the production of essential oils with antioxidants and antimicrobial properties. Aromatic plants are rich in essential oils and are mainly found in the Mediterranean region, where the production of such oils is a profitable source of ecological and economic development. The use of essential oils with antimicrobial and antioxidant properties to increase the shelf life of food is a promising technology, and the essential oils of the Lamiaceae family, such as rosemary, thyme, and sage, have been extensively studied with respect to their use as food preservatives. Regarding the new applications of essential oils, this review gives an overview of the current knowledge and recent trends in the use of these oils from aromatic plants as antimicrobials and antioxidants in foods, as well as their biological activities, future potential, and challenges.
Nine Features in a Random Forest to Learn Taxonomical Semantic Relations

ROOT9 is a supervised system for the classification of hypernyms, co-hyponyms and random words that is derived from the already introduced ROOT13 (Santus et al., 2016). It relies on a Random Forest algorithm and nine unsupervised corpus-based features. We evaluate it with a 10-fold cross validation on 9,600 pairs, equally distributed among the three classes and involving several Parts-Of-Speech (i.e. adjectives, nouns and verbs). When all the classes are present, ROOT9 achieves an F1 score of 90.7%, against a baseline of 57.2% (vector cosine). When the classification is binary, ROOT9 achieves the following results against the baseline. hypernyms-co-hyponyms 95.7% vs. 69.8%, hypernyms-random 91.8% vs. 64.1% and co-hyponyms-random 97.8% vs. 79.4%. In order to compare the performance with the state-of-the-art, we have also evaluated ROOT9 in subsets of the Weeds et al. (2014) datasets, proving that it is in fact competitive. Finally, we investigated whether the system learns the semantic relation or it simply learns the prototypical hypernyms, as claimed by Levy et al. (2015). The second possibility seems to be the most likely, even though ROOT9 can be trained on negative examples (i.e., switched hypernyms) to drastically reduce this bias.
Training of the Beta wavelet networks by the frames theory: Application to face recognition

A wavelets neural network is a hybrid classifier composed of a neuronal contraption and wavelets as functions of activation. Our approach of face recognition is divided in two parts: the training phase and the recognition phase. The first consists in optimizing a wavelets neural network for every training picture face. A new technique of training of these wavelets networks which based on the frames theory is proposed as a remedy to the inconveniences of the classical training algorithms. The specificity of a BWNN to a face and the notion of SuperWavelet have been exploited to propose an approach of face recognition. Finally, we have compared our method of recognition to other ones which are used for face recognition that are applied on the AT&T (ORL) and FERET faces basis. We reached a face recognition rate that exceeds 90% for two images per person in the training step.
Using mobile phones as remote control for ubiquitous video-recording

In this paper, we describe a new paradigm of video recording through two related projects, Faucet and Record2ME. Faucet and Record2ME work together in order to achieve the goal of ubiquitous interaction. Faucet is the service that provides a mean to get multimedia contents using the podcast model while Record2ME is a Java application for mobile phones that allow the usage of Faucet service in a mobility context.
Longitudinal detection of dementia through lexical and syntactic changes in writing: a case study of three British novelists

We present a large-scale longitudinal study of lexical and syntactic changes in language in Alzheimer's disease using complete, fully parsed texts and a large number of measures, using as our subjects the British novelists Iris Murdoch (who died with Alzheimer's), Agatha Christie (who was suspected of it), and P.D. James (who has aged healthily). We avoid the limitations and deficiencies of Garrard et al.'s ((2005), The effects of very early Alzheimer's disease on the characteristics of writing by a renowned author. Brain, 128 (2): 250-60) earlier study of Iris Murdoch. Our results support the hypothesis that signs of dementia can be found in diachronic analyses of patients' writings, and in addition lead to new understanding of the work of the individual authors whom we studied. In particular, we show that it is probable that Agatha Christie indeed suffered from the onset of Alzheimer's while writing her last novels, and that Iris Murdoch exhibited a 'trough' of relatively impoverished vocabulary and syntax in her writing in her late 40s and 50s that presaged her later dementia.
A physiological approach to the timing of umbilical cord clamping at birth

Umbilical cord clamping at birth has a major impact on an infant's cardiovascular system that varies in significance depending upon whether the infant has commenced breathing. As umbilical venous return is a major source of preload for the left ventricle during fetal life, recent experimental evidence has shown that clamping the umbilical cord severely limits cardiac venous return in the absence of pulmonary ventilation. As a result, cardiac output greatly reduces and remains low until breathing commences. Once the infant begins breathing, aeration of the lung triggers a large increase in pulmonary blood flow, which replaces umbilical venous return as the source of preload for the left ventricle. As a result, cardiac output markedly increases, as indicated by an increase in heart rate immediately after birth. Thus, infants born apnoeic and hypoxic and have their cords immediately clamped, are likely to have a restricted cardiac output combined with hypoxia. As increased cardiac output is a major physiological defence mechanism that counteracts the effects of hypoxaemia, limiting the increase in cardiac output exposes the infant to ischaemia along with hypoxia. However, if the infant commences breathing, aerates its lungs and increases pulmonary blood flow before the umbilical cord is clamped, then pulmonary venous return can immediately take over the supply of left ventricular preload upon cord clamping. As a result, there is no intervening period of reduced preload and cardiac output and the large swings in arterial pressures and flows are reduced leading to a more stable circulatory transition.
DRAFT: PLEASE DO NOT CITE Researching the 'Depoliticised Polity'

This paper suggests how governance researchers may contribute towards studying the ‘depoliticised polity’, defined as an organised society that appears from a number of analytical perspectives to be witnessing declining ‘political’ activity. Stagnating political participation, the reluctance of governments to take responsibility for political decisions, and the growth of rationalistic, technocratic discourse all represent interlinking aspects of the depoliticised polity, and should, this article argues, be analysed as interrelated phenomena. Existing governance research only analyses one ‘face’ of the depoliticised polity, however: the ‘governmental’ face that focuses on politicians and their strategies of statecraft. This misses out two other ‘faces’: ‘societal’ and ‘discursive’, which extend across society, representing aspects of the wider ‘depoliticised polity’. The aim of this article is to set out each ‘face’ of depoliticisation, how they interrelate, and the theoretical underpinnings and empirical research agendas of scholarly work on each ‘face’. It is argued that while we can untangle these conceptions in analytical terms, in reality they are indelibly entangled in the wider ‘depoliticised polity’ and hence we can analyse the interrelationships between them. The article concludes with compelling conceptual, empirical and normative reasons for why researchers should use the ‘three faces’ approach to analysing depoliticisation.
Sleep Duration and Biomarkers of Metabolic Function Among Police Officers

Objective:To investigate associations between sleep duration and biomarkers of metabolic function among police officers. Methods:Metabolic markers were measured using standardized methods and sleep duration was assessed from questionnaire data. Mean levels of leptin and adiponectin were assessed across five levels of sleep duration using ANCOVA and linear regression models. Results:Police officers (n = 443) who reported an average of less than 5 hours and at least 8 hours of sleep had higher levels of leptin compared to those who reported an average of 5 to 7 hours of sleep. These associations were stronger and statistically significant among women, officers with BMI of 24.9 kg/m2 or less and smaller abdominal height (< 20 cm), and officers who primarily worked on the day shift. Conclusion:Short and long sleep duration were associated with higher leptin levels and may have implications for obesity-related conditions.
An Application of a Game Development Framework in Higher Education

This paper describes how a game development framework was used as a learning aid in a software engineering. Games can be used within higher education in various ways to promote student participation, enable variation in how lectures are taught, and improve student interest. In this paper, we describe a case study at the Norwegian University of Science and Technology (NTNU) where a game development framework was applied to make students learn software architecture by developing a computer game. We provide a model for how game development frameworks can be integrated with a software engineering or computer science course. We describe important requirements to consider when choosing a game development framework for a course and an evaluation of four frameworks based on these requirements. Further, we describe some extensions we made to the existing game development framework to let the students focus more on software architectural issues than the technical implementation issues. Finally, we describe a case study of how a game development framework was integrated in a software architecture course and the experiences from doing so.
COMPARISON OF MACHINE LEARNING ALGORITHMS RANDOM FOREST, ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE TO MAXIMUM LIKELIHOOD FOR SUPERVISED CROP TYPE CLASSIFICATION

The classification and recognition of agricultural crop types is an important application of remote sensing. New machine learning algorithms have emerged in the last years, but so far, few studies only have compared their performance and usability. Therefore, we compared three different state-of-the-art machine learning classifiers, namely Support Vector Machine (SVM), Artificial Neural Network (ANN) and Random Forest (RF) as well as the traditional classification method Maximum Likelihood (ML) among each other. For this purpose we classified a dataset of more than 500 crop fields located in the Canadian Prairies with a stratified randomized sampling approach. Up to four multi-spectral RapidEye images from the 2009 growing season were used. We compared the mean overall classification accuracies as well as standard deviations. Furthermore, the classification accuracy of single crops was analysed. Support Vector Machine classifiers using radial basis function or polynomial kernels exhibited superior results to ANN and RF in terms of overall accuracy and robustness, while ML exhibited inferior accuracies and higher variability. Grassland exhibited the best results for early-season mono-temporal analysis. With a multi-temporal approach, the highest accuracies were achieved for Rapeseed and Field Peas. Other crops, such as Wheat, Flax and Lentils were also successfully classified. The user’s and producer’s accuracies were higher than 85 %.
Characterization and detection of location spoofing attacks

With the proliferation of diverse wireless devices, there is an increasing concern about the security of location information which can be spoofed or disrupted by adversaries. This paper investigates the characterization and detection of location spoofing attacks, specifically those which are attempting to falsify (degrade) the position estimate through signal strength based attacks. Since the physical-layer approach identifies and assesses the security risk of position information based solely on using received signal strength (RSS), it is applicable to nearly any practical wireless network. In this paper, we characterize the impact of signal strength and beamforming attacks on range estimates and the resulting position estimate. It is shown that such attacks can be characterized by a scaling factor that biases the individual range estimators either uniformly or selectively. We then identify the more severe types of attacks, and develop an attack detection approach which does not rely on a priori knowledge (either statistical or environmental). The resulting approach, which exploits the dissimilar behavior of two RSS-based estimators when under attack, is shown to be effective at detecting both types of attacks with the detection rate increasing with the severity of the induced location error.
MATERIALS AND METHODS Animal Surgery and Protocols All procedures conformed to the Danish national guidelines for the care and handling of animals and the published guidelines from the National Institutes of Health

Stubbe J, Madsen K, Nielsen FT, Bonde RK, Skøtt O, Jensen BL. Postnatal adrenalectomy impairs urinary concentrating ability by increased COX-2 and leads to renal medullary injury. Am J Physiol Renal Physiol 293: F780–F789, 2007. First published June 20, 2007; doi:10.1152/ajprenal.00193. 2007. —We hypothesized that aldosterone promotes development of the renal medulla in the postnatal period and that cyclooxygenase-2 (COX-2) activity contributes to renal dysfunction after impaired aldosterone signaling. To test these hypotheses, rat pups underwent either sham operation or adrenalectomy at postnatal day 10. Adrenalectomized rats were divided into no steroid substitution (ADX), corticosterone replacement (ADX-C), and corticosterone and DOCA substitution (ADX-CD) groups that received subcutaneous pellets with steroids. Without replacement, pups failed to thrive and exhibited impaired urinary-concentrating ability. The renal medulla was significantly smaller, and the medullary interstitial osmolality was lower in the ADX group, whereas COX-2 and PGE2 tissue levels were significantly elevated compared with levels shown in sham animals. Substitution with DOCA and corticosterone corrected these changes, whereas corticosterone replacement alone improved survival but not weight gain and urinary-concentrating ability. Administration of a COX-2 inhibitor to ADX rats (parecoxib, 5 mg kg 1 day , days 17–20) increased weight gain, urinary-concentrating ability, and papillary osmolality. After fluid deprivation, parecoxib attenuated weight loss and the increase in plasma Na concentration and osmolality. It is concluded that mineralocorticoid is required for normal postnatal development of the renal medulla. COX-2 contributes to impaired urine-concentrating ability, NaCl loss, and extracellular volume depletion in postnatal mineralocorticoid deficiency.
Allosteric regulation of Arf GTPases and their GEFs at the membrane interface

ABSTRACT Arf GTPases assemble protein complexes on membranes to carry out major functions in cellular traffic. An essential step is their activation by guanine nucleotide exchange factors (GEFs), whose Sec7 domain stimulates GDP/GTP exchange. ArfGEFs form 2 major families: ArfGEFs with DCB, HUS and HDS domains (GBF1 and BIG1/BIG2 in humans), which act at the Golgi; and ArfGEFs with a C-terminal PH domain (cytohesin, EFA6 and BRAG), which function at the plasma membrane and endosomes. In addition, pathogenic bacteria encode an ArfGEF with a unique membrane-binding domain. Here we review the allosteric regulation of Arf GTPases and their GEFs at the membrane interface. Membranes contribute several regulatory layers: at the GTPase level, where activation by GTP is coupled to membrane recruitment by a built-in structural device; at the Sec7 domain, which manipulates this device to ensure that Arf-GTP is attached to membranes; and at the level of non-catalytic ArfGEF domains, which form direct or GTPase-mediated interactions with membranes that enable a spectacular diversity of regulatory regimes. Notably, we show here that membranes increase the efficiency of a large ArfGEF (human BIG1) by 32-fold by interacting directly with its N-terminal DCB and HUS domains. The diversity of allosteric regulatory regimes suggests that ArfGEFs can function in cascades and circuits to modulate the shape, amplitude and duration of Arf signals in cells. Because Arf-like GTPases feature autoinhibitory elements similar to those of Arf GTPases, we propose that their activation also requires allosteric interactions of these elements with membranes or other proteins.