Miracle-dz/UniFAR-FTUs huggingface dataset:
catena-Poly[[[aqua(7-hydroxy-2H-1-benzopyran-2-one)sodium]-di-μ-aqua] 2-oxo-2H-1-benzopyran-7-olate monohydrate]

The asymmetric unit of the title compound, {[Na(C9H6O3)(H2O)3](C9H5O3)·H2O}n, contains two crystallographically independent Na atoms, two 7-hydroxycoumarin ligands, six coordinated water molecules, two 7-hydroxycoumarin anions and two uncoordinated water molecules. Both Na atoms exhibit a distorted octahedral coordination geometry and are coordinated by five water O atoms and the terminal O atom from a 7-hydroxycoumarin ligand. Four of the water molecules are bridging, whereas the fifth is terminal. Na—O bond distances are in the range 2.288 (2)–2.539 (2) Å. In the chains, extending parallel to [100], adjacent Na atoms are separated by 3.60613 (7) Å. The uncoordinated water molecules and 7-hydroxycoumarin phenolate anions are located between the chains and are hydrogen bonded to the chains.
A Patent-Based Approach for the Identification of Strategic Reactions to Technological Change: The Case of Emerging Battery Technologies

Assessments regarding the strategic reactions of companies towards technological change are highly complex and often lack generalization. Methods for analyzing company resources were rather applied than methods directly focusing on the respective strategic reactions. There is, however, a need for a methodology that provides a more comprehensive overview and enables an early recognition of strategic reactions to technological change, for example through the use of easily available secondary data. Thus, the aim of our study is the development of a patent-based approach to identify particular strategic reactions of respective companies towards technological change. Achieving this objective involves an analysis of patent activities for the case of relevant cell manufacturing companies of lithium-ion and post-lithium-ion battery technologies. The developed methodological approach could be applied successfully to the identification of strategic reactions in the battery field. From a practical point of view, our findings give detailed and above all early insights in strategic decisions and enable technology managers to better assess investment options in different technologies.
Comparison of Distance Metrics for Phoneme Classification based on Deep Neural Network Features and Weighted k-NN Classifier

K-nearest neighbor (k-NN) classification is a powerful and simple method for classification. k-NN classifiers approximate a Bayesian classifier for a large number of data samples. The accuracy of k-NN classifier relies on the distance metric used for calculating nearest neighbor and features used for instances in training and testing data. In this paper we use deep neural networks (DNNs) as a feature extractor to learn discriminative internal structure of the data. We compared different distance metrics for calculating nearest neighbor in our speaker similarity score algorithm for phoneme classification and their execution time. The city block distance metric is computationally efficient and provides good phoneme classification accuracy.
Independent Evaluation of a Recently Described Achilles Tendon Repair Technique

Background: We investigated a previously reported technique for the repair of acute Achilles tendon ruptures using the percutaneous Achillon® suture system (Intega Life Sciences Corporation, Plainsboro, NJ). Methods: Twenty-five patients with Achilles tendon ruptures were studied prospectively with a minimum of 12 months followup. A single 2- to 3-cm horizontal incision and the Achillon® suture system were used. Early rehabilitation and an active range-of-motion brace were instituted. Results: There were no wound problems, sural nerve injuries, or reruptures. All patients were able to return to their previous sporting activities by 6 months. Conclusions: This independent study confirms that the technique offers patients a safe operative procedure for repair of acute Achilles tendon ruptures that allows early active rehabilitation.
Optimal trajectory generation and robust flatness–based tracking control of quadrotors

This work proposes an optimal trajectory generation and a robust flatness–based tracking controller design to create a new performance guidance module for the quadrotor in dense indoor environments. The properties of the differential flatness, the B‐spline, and the direct collocation method are exploited to convert the constrained optimization problem into a nonlinear programming one, which can be easily resolved by a classic solver. After that, the obtained optimal reference trajectory is applied to the dynamic quadrotor model and two different flatness‐based controllers, namely, one based on feedback linearization and one based on feedforward linearization, are developed and compared to ensure the trajectory tracking despite the existence of disturbances and parametric uncertainties. Numerical simulation is executed to evaluate the proposed optimal trajectory generation approach and the robust tracking strategies. It turns out that the controller based on feedforward linearization outperforms the feedback linearization one in robustness and permits obtaining a performance guidance law for an uncertain quadrotor system.
Just Another Day in a Woman's Life? Part 11: Nature and Consistency of Women's Long‐Term Memories of Their First Birth Experiences

ABSTRACT: Twenty women who attended the author's natural childbirth classes between 1968 and 1974 were the informants in this study of long-term memories of their first childbirths. The data from each informant consisted of 1) a labor and birth questionnaire, including an open-ended account of her labor, written shortly after her baby was born; 2) a similar questionnaire and account written in 1988 and 1989; and 3) a transcribed interview during which her memories and perceptions were discussed and any discrepancies between the questionnaires were explored. The questionnaires were compared for consistency of recall, and the interviews consulted for further clarification. Specific memories were excerpted, compared, classified, tabulated, and summarized. Findings were that, years later, women's memories are generally accurate, and many are strikingly vivid, especially of onset of labor; rupture of the membranes; arrival at the hospital; actions of doctors, nurses, and partners: particular interventions; the birth; and first contact with the baby. Most memory lapses or confusion were minor. Evidence of a halo effect was observed as well. (BIRTH 19:2 June, 1992)
Representative distribution network models for assessing the role of active distribution systems in bulk ancillary services markets

Nowadays, renewable energy sources feed significant shares of energy demand, resulting in a reduction of market energy price but also a significant increase of expenditures for ancillary services due to inherent not complete predictability and programmability. Thus loads and generation in the distribution network are more and more required to play an active role in supporting grid stability by participating to ancillary service markets, either directly or through aggregators. The paper presents a novel procedure to estimate distribution networks capabilities to support grid stability, by making use of synthetic representation of HV/MV substations and their relevant distribution networks with a GIS based clustering procedure. The impact of active distribution networks to the bulk ancillary service market is then evaluated by applications to the Italian electric system and by assuming different regulatory frameworks for transmission/distribution network market interactions.
Do Term Limits Affect Legislative Roll Call Voting? Representation, Polarization, and Participation

In a nationwide survey Carey, Niemi, Powell, and Moncrief (2006) found that term-limited state legislators feel less constrained by their constituencies. I use direct measures of legislative activity to examine how this “Burkean shift” in attitudes is manifested in roll-call behavior. With a new dataset consisting of all competitive state legislative roll calls for the 1999–2000 sessions and a new measure of district constituency preferences, I examine three hypotheses: that term-limited legislators are less representative of their constituents, are more polarized, and participate less in roll-call voting. I find no evidence that term-limited legislators are any less representative, and no differences in levels of party polarization appear associated with the term limits reform. I find that the impact of term limits on roll-call voting is manifested in decreased legislative effort, but this effect only appears in the more demanding legislatures. The results are consistent with the sorting model in which elections are reasonably efficient at selecting leaders whose preferences align with those of their districts, but the prospect of re-election has little role in achieving representation of constituents' ideological preferences.
Multislice 1H MRSI of the human brain at 7 T using dynamic B0 and B1 shimming

Proton MR spectroscopic imaging of the human brain at ultra‐high field (≥7 T) is challenging due to increased radio frequency power deposition, increased magnetic field B0 inhomogeneity, and increased radio frequency magnetic field inhomogeneity. In addition, especially for multislice sequences, these effects directly inhibit the potential gains of higher magnetic field and can even cause a reduction in data quality. However, recent developments in dynamic B0 magnetic field shimming and dynamic multitransmit radio frequency control allow for new acquisition strategies. Therefore, in this work, slice‐by‐slice B0 and B1 shimming was developed to optimize both B0 magnetic field homogeneity and nutation angle over a large portion of the brain. Together with a low‐power water and lipid suppression sequence and pulse‐acquire spectroscopic imaging, a multislice MR spectroscopic imaging sequence is shown to be feasible at 7 T. This now allows for multislice metabolic imaging of the human brain with high sensitivity and high chemical shift resolution at ultra‐high field. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.
The syndromal validity and nosological position of apathy in Parkinson's disease

Although apathy is among the most frequent behavioral changes in Parkinson's disease (PD), its diagnosis is still problematic, and the overlap with depression and dementia poorly studied. Aim of the study was validate specific criteria to diagnose apathy in PD, and to examine its association with subsyndromes of depression and dementia. A series of 164 patients with PD, 44 patients with “primary” depression and no PD, 23 patients with Alzheimer's disease, and 26 age‐comparable healthy controls underwent a comprehensive psychiatric assessment that included a structured psychiatric interview and the Apathy Scale. A set of seven diagnostic criteria showed high sensitivity and specificity for clinically diagnosed apathy. Fifty‐two of the 164 patients with PD (32%) met diagnostic criteria for apathy. Eighty‐three percent of patients with apathy had comorbid depression and 56% had dementia. Only 5 of the 40 PD patients (13%) with neither depression nor dementia had apathy. We validated a set of standardized criteria for the diagnosis of apathy in PD. About one third of a series of patients attending a Movement Disorders Clinic showed apathy. Both depression and dementia were the most frequent comorbid conditions of apathy in PD. © 2009 Movement Disorder Society
Aspect Specific Sentiment Analysis Using Hierarchical Deep Learning

This paper focuses on the problem of aspect-speciﬁc sentiment analysis, where the goal is to not only extract sentiments, but to understand what aspects of a product or service users are expressing opinions about. Most existing algorithms address this problem by treating aspect extraction and sentiment analysis as separate phases or by enforcing explicit modeling assumptions on how these two phases should overlap and interact. In this paper, we propose an approach based on a hierarchical deep learning framework which overcomes the aforementioned drawbacks. We experiment with various models of semantic compositionality within this framework. Experimental results on a recently introduced real world data set show that the proposed framework outperforms other state-of-the-art techniques.
Prediction of coronary heart disease risk by Framingham and SCORE risk assessments varies by socioeconomic position: results from a study in British men

Aim: Evidence is limited on performance of the Framingham risk score (FRS) in different socioeconomic groups; similar limitations apply to the Systematic Coronary Risk Evaluation (SCORE). We examined the performance of coronary risk prediction systems in different socioeconomic groups in British men. Methods and results: In a socially and geographically representative cohort of British men aged 40–59 between 1978 and 1980, predicted 10-year coronary heart disease (CHD) (fatal and non-fatal) risk was calculated using FRS, and CHD mortality using SCORE. Prevalent cardiovascular disease cases were excluded. Occupational social class ranged from I (professionals) to V (unskilled workers), and was summarized as non-manual (I, II, III non-manual) and manual (III manual, IV, V). Both FRS and SCORE over-estimated 10-year CHD risk; over-prediction by both was particularly marked in high social classes. With FRS, predicted/observed risk fell progressively from 2.30 in social class I to 1.19 in social class V. Sensitivity of FRS at a ≥20% threshold (27% of men) fell from 53% to 37% from social class I to V; specificity varied similarly. With SCORE, predicted/observed CHD mortality fell from 1.53 to 1.26 from social class I to V; sensitivity at a ≥5% threshold (29% of men) fell between non-manual (61%) and manual (57%) groups, as did specificity. However, including social class in FRS barely improved risk prediction (net reclassification improvement = 0.18%). Conclusions: Framingham and SCORE predictions varied between socioeconomic groups and are more likely to identify those at greater CHD risk in higher socioeconomic groups. To ensure equitable primary prevention, strategies to adequately estimate risk in lower socioeconomic groups (at increased CHD risk) should be developed.
RECONSTITUTION OF METACHRONAL WAVES IN CILIATED CORTICAL SHEETS OF PARAMECIUM - WAVE STABILITIES

We reconstituted metachronal waves on ciliated cortical sheets prepared from detergent-extracted Paramecium multimicronucleatum cells. Ciliary movements of the cortical sheet, whose intracellular side adhered to a glass coverslip, were reactivated by perfusion of a basic reactivation medium containing ATP. In this condition, the ciliary field showed only unstable localised ripples. Addition of either cyclic AMP or cyclic GMP to the basic reactivation medium generated propagating metachronal waves characteristic of each nucleotide. In order to estimate the stability of the metachronal waves, autocorrelation coefficients were calculated from images of an 8 µm diameter region within the reactivated ciliary field. The decay time for the correlation coefficient to decrease to 0.5 was only 0.04 s in the basic reactivation medium, but was increased to 0.4 or 0.9 s by the addition of cyclic AMP or cyclic GMP, respectively. The decay time was dependent not only on the concentration of cyclic nucleotide but also on the wave frequency. In order to test whether cyclic-nucleotide-dependent phosphorylation affected the generation of waves, the ciliated cortical sheets were thiophosphorylated by incubation in ATP-gamma-S (adenosine-5'-o-3-thiotriphosphate) medium containing either cyclic AMP or cyclic GMP. Following this, perfusion with the basic reactivation medium generated metachronal waves only after cyclic GMP treatment. The effect of cyclic GMP is probably related to phosphorylation of ciliary proteins.
Ultrasonic Arrays for Localized Presence Sensing

Advanced sensing solutions are central in the realization of energy-efficient lighting systems. This paper presents an ultrasonic array sensor for localized presence sensing in indoor environments. Localized presence sensing refers to the determination of presence and locations of occupants. Our proposed sensing solution comprises of a single transmitter and a linear array of receiving elements. In order to meet presence sensing requirements in indoor office scenarios, a pulsed sinusoid transmitter waveform and receiver processing algorithms for location estimation are designed. The signals at the receiver array are processed to obtain range and direction-of-arrival estimates. These location estimates are improved using a tracking algorithm based on occupant movement models and by mitigating multipath effects. The performance of the proposed presence sensing solution is shown in multi-occupant office environments.
Prediction of wind park output power based on turbine effective wind speed - a model identification approach

This paper deals with off-shore wind park model identification for output power prediction purpose. The investigated solution is based upon identifying the so-called wind deficiency factor for each turbine and for each wind direction sector. This is done by employing the effective wind speed concept that can establish a link between output power of a wind turbine and the meteorological mast measures. Numerical simulations show the feasibility of the proposed approach.
Image captioning using deep neural architectures

Automatically creating the description of an image using any natural language sentences is a very challenging task. It requires expertise of both image processing as well as natural language processing. This paper discusses about different available models for image captioning task. We have discussed about how the advancement in the task of object recognition and machine translation has greatly improved the performance of image captioning model in recent years. In addition to that we have discussed how this model can be implemented. At the end, we have also evaluated the performance of model using standard evaluation matrices.
Self-polarization-stabilization technique for long-reach coherent WDM PON

We demonstrate a simple self-polarization-stabilization technique for the long-reach RSOA-based WDM PON implemented with self-homodyne receivers. The effectiveness of this technique is confirmed in 2.5-Gb/s transmission experiments over 68-km long link partially composed of installed fibers.
The Impact of Dynamic Balance Measures on Walking Performance in Multiple Sclerosis

Background: Static posture imbalance and gait dysfunction are common in individuals with multiple sclerosis (MS). Although the impact of strength and static balance on walking has been examined, the impact of dynamic standing balance on walking in MS remains unclear. Objective: To determine the impact of dynamic balance, static balance, sensation, and strength measures on walking in individuals with MS. Methods: Fifty-two individuals with MS (27 women; 26 relapsing-remitting; mean age = 45.6 ± 10.3 years; median Expanded Disability Status Scale score = 3.5) participated in posturography testing (Kistler-9281 force plate), hip flexion, hip extension, ankle dorsiflexion strength (Microfet2 hand-held dynamometer), sensation (Vibratron II), and walk velocity (Optotrak Motion Analysis System). Analyses included, Mann-Whitney, Spearman correlation coefficients, and multiple regression. Results: All measures were abnormal in individuals with MS when compared with norms (P < .05). Static balance (eyes open, feet together [EOFT]), anterior-posterior (AP) dynamic sway, and hip extension strength were strongly correlated with walking velocity (AP sway r = 0.68; hip extension strength r = 0.73; EOFT r = −0.40). Together, AP dynamic sway (ρr = 0.71; P < .001), hip extension strength (ρr = 0.54; P < .001), and EOFT static balance (ρr = −0.41; P = .01) explained more than 70% of the variance in walking velocity (P < .001). Conclusions: AP dynamic sway affects walking performance in MS. A combined evaluation of dynamic balance, static balance, and strength may lead to a better understanding of walking mechanisms and the development of strategies to improve walking.
HYPOTHALAMIC DIGOXIN DEFICIENCY IN OBSESSIVE COMPULSIVE DISORDER AND LA TOURETTE S SYNDROME

The isoprenoid pathway related cascade was assessed in 15 patients with obsessive compulsive disorder (OCD) and la Tourette s syndrome (TS). The pathway was also assessed in right hemispheric dominant, left hemispheric dominant, and bihemispheric dominant individuals to assess whether hemispheric dominance has any correlation with these disease states. The levels of serum digoxin, HMG CoA reductase activity, and dolichol were found to be decreased in OCD and la Tourette s syndrome as well as in left hemispheric dominant individuals with a corresponding increase in RBC Na ´ +;-K ´ +; ATPase activity, serum ubiquinone, and magnesium levels. There was an increase in tyrosine and its catabo lites, and a reduction in tryptophan and its catabolites in the serum. The total and individual glycosaminoglycan (GAG) fractions, carbohydrate residues of glycoproteins, and the concentration of glycolipids decreased in the serum. The activity of GAG degrading enzymes and glycohydrolases were decreased. The RBC membrane glycoconjugates were increased while the membrane cholesterol:phospholipid ratio was decreased. The activity of free radical scavenging enzymes increased while the concentration of free radicals decreased significantly. On the other hand, there was hyperdigoxinemia and the reverse biochemical patterns in those with right hemispheric dominance. Membrane Na ´ +;-K ´ +; ATPase stimulation can result in decreased intracellular Ca ´ 2+; and increased magnesium levels. Increased levels of dopamine can lead to a tic syndrome, while reduced levels of serotonin and increased dopamine can both lead to obsessive compulsive disorder. Decrease in fucose and sialo-ligands, increased immunosuppressive morphine levels, decreased T-cell calcineurin signal transduction related to decreased intracellular calcium, reduced free radical production, and altered presentation of bacterial glycoconjugate antigens can lead to a hypoimmune response and recurrent respiratory infection in OCD patients. OCD and la Tourette s syndrome are associated with left hemispheric chemical dominance.
An Integrated Database of the Ascidian, Ciona intestinalis: Towards Functional Genomics

Abstract An integrated genome database is essential for future studies of functional genomics. In this study, we update cDNA and genomic resources of the ascidian, Ciona intestinalis, and provide an integrated database of the genomic and cDNA data by extending a database published previously. The updated resources include over 190,000 ESTs (672,396 in total together with the previous ESTs) and over 1,000 full-insert sequences (6,773 in total). In addition, results of mapping information of the determined scaffolds onto chromosomes, ESTs from a full-length enriched cDNA library for indication of precise 5′-ends of genes, and comparisons of SNPs and indels among different individuals are integrated into this database, all of these results being reported recently. These advances continue to increase the utility of Ciona intestinalis as a model organism whilst the integrated database will be useful for researchers in comparative and evolutionary genomics.