Miracle-dz/UniFAR-FTUs huggingface dataset:
Walking to Grasp: Modeling of Human Movements as Invariants and an Application to Humanoid Robotics

Concurrent advancements in mechanical design and motion planning algorithms allow state-of-the-art humanoid robots to exhibit complex and realistic behavior. In face of this added complexity and the need for humanlike behavior, research has begun to look toward studies in human neuroscience to better organize and guide humanoid robot motion. In this paper, we present one such method of generating anthropomorphic motion by building the “invariants” of human movements and applying them as kinematic tasks. Whole-body motion of 14 healthy participants was recorded during a walking and grasping task. The recorded data were statistically analyzed to extract invariants which best described the observed motion. These invariants were expressed as a set of rules that were used to synthesize the stereotypy in human motion. We propose an algorithm that reproduces the key parameters of motion, taking into account the knowledge from human movement and the limitations of the target anthropomorph. The results are then generalized such that we can generate motion for targets which were not originally recorded. The algorithmic output is applied in a task-based prioritized inverse kinematics solver to generate dynamically stable and realistic anthropomorphic motion. We illustrate our results on the humanoid HRP-2 by making it walk to and grasp objects at various positions. Our approach complements classical optimization or motion-planning-based methods and provides interesting perspectives toward the use of human movements for deducing effective cost functions in optimization techniques or heuristics for planning algorithms.
Mood Alterations and Sleep

Abstract: We have reviewed literatures about neurobiological aspect of mood disorders in the light of abnormalities of REM sleep. A shortened REM latency is a consistent finding in depressed patients and may be considered a biological marker for depression. Most depressed patients with shortened REM latency also show non‐suppression on dexamethasone‐suppression test (DST). The commonly used antidepressant drugs cause a significant reduction in REM sleep. Patients with abnormal DST show a better response to sleep deprivation than those with normal DST. Recent studies indicated that borderline patients, primary dysthymic patients and obsessive‐compulsive patients (OCD) have shortened REM latency. Farthermore, patients with OCD have a fairly good response to antidepressant clomipramine. Diagnostic and therapeutic strategies can conceivably be related on the examination of sleep patterns of psychiatric patients.
Synthesis of IIR filters exhibiting constant group delay using phase invariance method

This paper presents one synthesis procedure for selective, minimum phase, IIR filters exhibiting constant group delay. For constant group delay approximation, maximally flat criterion is considered. Prototype rational function is constructed in two steps. First all-pole transfer function exhibiting linear phase is synthesized. Second transmission zeros situated at imaginary axis are introduced. To preserve linear phase property, phase invariance method will be examined and confronted with famous bilinear transform. Procedure of mapping will be carried out over eight order, low pass filter. Obtained results showed that proposed method outperform bilinear transform, especially at lower sampling rates.
Characterization and distribution of phagocytic macrophages in multiple sclerosis plaques

Populations of phagocytic cells in multiple sclerosis (MS) plaques were examined by quantitative immunocytochemical analysis of macrophage markers and myelin degradation products in serial cryostat sections from 10 cases of MS. Around lesions with ongoing demyelination expression of the Class II antigen HLA‐DQ appeared to be a marker of microglial activation. Alpha l‐antichymotrypsin + monocytes and myelin‐laden macrophages expressing the later differentiation markers Ber‐MAC3 and RFD7 were predominantly perivascular in location. On the basis of the distribution of oil red 0 (ORO)+ phagocytes and myelin loss, plaques were divided into groups representing different stages in lesion development. In early lesions (group 1), there was no apparent myelin loss around ORO+ macrophages although these cells contained material stained with antibodies against myelin basic protein (MBP) epitopes and neoepitopes. However, patchy myelin loss was detectable around the phagocytic macrophages uniformly distributed throughout group 2 plaques. ORO+ macrophages containing MBP peptides were confined to the hypercellular border of group 4 lesions, in which the demyelinating process may be recurrent.
OCT-1 function varies with cell lineage but is not influenced by BCR-ABL

Background Despite the excellent responses to imatinib therapy observed in patients with chronic phase chronic myeloid leukemia, approximately 25% of patients display primary resistance or suboptimal response. The OCT-1 activity in mononuclear cells reflects the efficiency of active influx of imatinib. OCT-1 activity in mononuclear cells is highly variable between patients and significantly correlates with a patient’s molecular response to imatinib treatment and overall survival. The present study examined whether cell lineage and BCR-ABL expression influenced OCT-1 activity. Design and Methods The OCT-1 activity and OCT-1 mRNA expression was assessed in pure populations of neutrophils, monocytes and lymphocytes recovered from chronic myeloid leukemia patients at diagnosis, in cytogenetic remission and normal individuals. The role of BCR-ABL on OCT-1 activity and differentiation was examined in a cell line model of ectopic BCR-ABL expression. Results The OCT-1 activity and OCT-1 mRNA expression was highest in the neutrophil population and lowest in lymphocytes (P<0.05). This was observed for patients at diagnosis, in cytogenetic remission and normal individuals. Interestingly, neutrophil OCT-1 activity was not significantly different between patients at diagnosis, in remission and normal donors. This was also observed for monocytes and lymphocytes. Furthermore, OCT-1 activity in mononuclear cells was significantly correlated with the OCT-1 activity in neutrophils (P=0.001). In a cell line model in which BCR-ABL was ectopically expressed, we found no evidence that BCR-ABL directly affected OCT-1 expression and function. However, BCR-ABL stimulated granulocyte differentiation which, in turn, led to significantly increased OCT-1 activity (P=0.024). Conclusions These studies suggest that the predictive OCT-1 activity in patient mononuclear cells is strongly related to cell lineage, particularly the presence of neutrophils in the peripheral blood. Furthermore, BCR-ABL expression is unlikely to directly influence OCT-1 activity but may have an indirect role by enhancing granulocyte differentiation.
Methods for studying polyploid diversification and the dead end hypothesis: a reply to Soltis et al. (2014).

The fate of polyploid lineages has been of long-standing interest to evolutionary biologists. In our previous work (Mayrose et al., 2011a; reviewed in Arrigo & Barker, 2012), we used likelihood methods to estimate the effects of recent polyploidization events on diversification rates (speciation minus extinction). Our goal was to ask whether, across groups, there is a preponderance of evidence for or against the hypothesis that polyploid species diversify at different rates than diploid species. Our results demonstrated that polyploid lineages, when compared with their diploid relatives, tend to form new species more slowly and go extinct more quickly, for a combined effect of lower diversification rates. Soltis et al. (2014) recently called into question our conclusions and raised concerns about our analyses. Some of these concerns reflect open questions and limitations in the available data, but others are based on misinterpretations of the methods used and their implications. In the spirit of furthering the fascinating debate about the macroevolutionary consequences of polyploidization, we offer this response with the hope that it will clarify what has been shown, demonstrate the utility of the methods applied, and inspire future work. Soltis et al. (2014) frame their concerns as a series of arguments, and we follow their framework in responding to the points raised. Before embarking, it is worth reemphasizing what we defined as a ‘polyploid lineage’. Indeed, all angiosperms have one or more polyploidization events in their history if one looks back far enough (Jiao et al., 2011), and thus polyploidymust be definedwith respect to a reference time point. Because our focus was on the impacts on diversification of recent polyploidization events, we explicitly defined polyploids ‘as those lineages that underwent a polyploidization event since divergence from their generic ancestor’ (Mayrose et al., 2011a). This definition enabled us to perform a large-scale comparative study using chromosome number changes to infer polyploid transitions in 63 clades of plants. Thus, when asking whether polyploidization impacts subsequent diversification, it must be borne in mind that our analyses were conducted on rather short evolutionary timescales, comparing those taxa that had undergone fairly recent polyploidization (‘neopolyploids’) with those that had not. As we concluded in Mayrose et al. (2011a), it remains an interesting open question whether earlier polyploidy events had different impacts on speciation and extinction, as has been suggested, for example, in the context of mass extinction events (Fawcett et al., 2009; Vanneste et al., 2014).
The Spatial Distribution of HIV Prevalence Rates in Nigeria

Nigeria has witnessed a gradual decline in the national trend of HIV prevalence from the peak of 5.8% in 2001 to 3.4% in 2012. In spite of the decline nationally, there is a wide variation in the distribution of HIV at the sub-national level. This study therefore aims to explore the spatial distribution of HIV in Nigeria. The study was an ecological study of secondary data of the National HIV prevalence studies conducted between 2008 and 2012. The global Moran’s I and Local Moran’s I (LISA) test were used to measure spatial autocorrelation. A final choropleth map of local Moran’s FDR-adjusted p values was produced and a p value of ≤ 0.05 was regarded as statistically significant. The analysis of the data was carried out in R statistical package version 3.2. 3. Twenty seven (73%) states showed decline in HIV while 10 (27%) states showed an increase in the HIV prevalence rate between 2008 and 2012. Global Moran I statistics for the country indicates a significant positive spatial autocorrelation of HIV in 2008 and 2010 however, there was no significant relationship in 2012. The choropleth map identified four hot spot significant clusters of HIV in 2008 which reduced to three states in 2010 and one state in 2012. The study showed a number of significant hot spot clusters for HIV in Nigeria though there was a general significant decline in the national HIV prevalence rate in the country. There is need to further understand the drivers of the epidemic in hot spot areas and target specific localized action to stem the tide of the epidemic focusing the scarce resources in the identified hotspot states.
DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management

In disaster management, people are interested in the development and the evolution of the disasters. If they intend to track the information of the disaster, they will be overwhelmed by the large number of disaster-related documents, microblogs, and news, etc. To support disaster management and minimize the loss during the disaster, it is necessary to efficiently and effectively collect, deliver, summarize, and analyze the disaster information, letting people in affected area quickly gain an overview of the disaster situation and improve their situational awareness. To present an integrated solution to address the information explosion problem during the disaster period, we designed and implemented DI-DAP, an efficient and effective disaster information delivery and analysis platform. DI-DAP is an information centric information platform aiming to provide convenient, interactive, and timely disaster information to the users in need. It is composed of three separated but complementary services: Disaster Vertical Search Engine, Disaster Storyline Generation, and Geo-Spatial Data Analysis Portal. These services provide a specific set of functionalities to enable users to consume highly summarized information and allow them to conduct ad-hoc geospatial information retrieval tasks. To support these services, DI-DAP adopts FIU-Miner, a fast, integrated, and user-friendly data analysis platform, which encapsulated all the computation and analysis workflow as well-defined tasks. Moreover, to enable ad-hoc geospatial information retrieval, an advanced query language MapQL is used and the query template engine is integrated. DI-DAP is designed and implemented as a disaster management tool and is currently been exercised as the disaster information platform by more than 100 companies and institutions in South Florida area.
DINAMIKA POPULASI SUMBER DAYA IKAN LAYUR (Trichiurus lepturus, Linnaeus, 1758) DI PERAIRAN CILACAP DAN SEKITARNYA

Ikan layur (Trichiurus lepturus) merupakan salah satu jenis ikan demersal ekonomis penting yang menjadi jenis target utama tangkapan di perairan Cilacap dan sekitarnya. Penelitian ini bertujuan untuk mengkaji dinamika populasi ikan layur di perairan Cilacap dan sekitarnya agar dapat menjadi bahan masukan pengelolaan sumber daya ikan layur. Penelitian dilakukan pada bulan April 2013 - Juni 2014. Pengumpulan data parameter biologi mencakup ukuran panjang dan berat, panjang pertama kali matang gonad (Lm), panjang pertama kali tertangkap (Lc), parameter pertumbuhan dan mortalitas. Hasil analisis hubungan panjang berat menunjukkan bahwa ikan layur bersifat allometrik negatif dan nilai Lc (50,51 cm) < Lm (58,83 cm) yang menandakan bahwa ikan yang tertangkap dalam kondisi belum dewasa atau belum siap memijah. Tingkat kematian akibat penangkapan lebih besar dari kematian alami dengan laju eksploitasi (E) sudah sampai pada batas maksimal. Ini berarti stok ikan layur sudah hampir mengalami degredasi. Dengan demikian perlu adanya upaya menjaga kelestarian untuk recovery stok jenis ikan tersebut Hairtail (Trichiurus lepturus) is one of the economically important demersal fish species that becomes main target species in Cilacap and adjacent waters. The purpose of this study is to assess the dynamic population of hairtail fish in Cilacap and adjacent waters in order to provide information for the management resources of hairtail fish. The study was conducted in April 2013 until June 2014. Data collection of biological parameters include the length and weight, the length of the first maturity (Lm), length of first capture (Lc), growth parameters and mortality. The result showed that length width relationship was negative allometric and Lc (50.51 cm) <Lm (58.83 cm) , it means that fishes were caught in state of immature or not yet ready to spawn. The fishing mortality rate was higher than natural mortality with the rate of exploitation (E) has reached the maximum limit. It means the stock of hairtail fish almost degradated. Therefore, management effort to preserve the resources needed to recover the stock.
Context-Aware Scheduling of Distributed DL-Reasoning Tasks in Wireless Sensor Networks

Wireless sensor networks (WSNs) provide a means to acquire lots of raw data from vast amounts of easy-to-deploy sensors. Ontologies facilitate structuring data into information and support automatic inference mechanisms. The combination of wireless sensor networks and ontologies can bring significant added value to intelligently process the raw data into meaningful information. In an ontology-based system, this process is referred to as description logics (DL) reasoning. However, the sensors might not be able to execute the reasoning process locally because of resource constraints. Additionally, the usage of the radio interface consumes a lot of power. Therefore, a balance has to be found between local processing and transmission towards the more powerful nodes. In this paper, we present our collaboration platform to bring together wireless sensor networks and distributed ontology A-Box reasoning. This platform should support the adoption of ontology-based methodologies and DL-Reasoning in a distributed setting. We detail a number of algorithms to optimise both bandwidth utilisation and power consumption. These algorithms have been evaluated on a real-life wireless sensor and mesh network test bed, namely WiLab.t. The results show that significant savings of up to 92% in terms of bandwidth utilisation can result from our approach.
Dynamics of the globally coupled complex Ginzburg-Landau equation.

A discrete version of the complex Ginzburg-Landau equation is studied on a completely connected lattice of N sites. This can equivalently be described as a model of N identical globally coupled limit-cycle oscillators. The phase diagram is obtained by a combination of numerical and analytical techniques. A surprising variety of dynamical behaviors is found in the thermodynamic limit (N\ensuremath{\gg}1). Depending on the region of parameter space, one gets the following: (1) a simple homogeneous limit cycle; (2) a state with complete frequency locking but with no phase locking so that the global forcing term vanishes; (3) a breaking of the system into a few macroscopic clusters which can exhibit periodic or quasiperiodic dynamics; (4) surprisingly complex states where an individual oscillator behaves in a chaotic way but in a sufficiently coherent manner so that the average complex amplitude does not vanish in the thermodynamic limit. Moreover, in this last region, the dynamics of this natural order parameter is itself chaotic.
Identification of actin nucleation activity and polymerization inhibitor in ameboid cells: their regulation by chemotactic stimulation

Actin polymerization occurs in amebae of Dictyostelium discoideum after chemotactic stimulation (Hall, A. L., A. Schlein, and J. Condeelis. 1988. J. Cell. Biochem. 37:285-299). When cells are lysed with Triton X- 100 during stimulation, an actin nucleation activity is detected in lysates by measuring the rate of pyrene-labeled actin polymerization. This stimulated nucleation activity is closely correlated with actin polymerization observed in vivo in its kinetics, developmental regulation, and cytochalasin D sensitivity. Actin polymerization is coordinate with pseudopod extension in synchronized populations of cells and is correlated with the accumulation of F actin in pseudopods. The stimulated actin nucleation activity is present in low-speed pellets from Triton lysates (cytoskeletons) within 3 s of stimulation and is stable compared with the nucleation activity of whole cell lysates. Low-speed supernatants contain a reversible inhibitor of the actin nucleation activity that is itself regulated by chemotactic stimulation. Neither activity requires Ca2+ and both are fully expressed in 10 mM EGTA. Fractions containing the inhibitor do not sever actin filaments but do inhibit actin polymerization that is seeded by fragments of purified F actin. These results indicate that chemotactic stimulation of Dictyostelium discoideum generates both an actin-nucleating activity and an actin-polymerization inhibitor, and suggest that the parallel regulation of these two activities leads to the transient phases of actin polymerization observed in vivo. The different compartmentation of these two activities may account for polarized pseudopod extension in gradients of chemoattractant.
Effects of SGLT2 Inhibition in Human Kidney Proximal Tubular Cells—Renoprotection in Diabetic Nephropathy?

Sodium/glucose cotransporter 2 (SGLT2) inhibitors are oral hypoglycemic agents used to treat patients with diabetes mellitus. SGLT2 inhibitors block reabsorption of filtered glucose by inhibiting SGLT2, the primary glucose transporter in the proximal tubular cell (PTC), leading to glycosuria and lowering of serum glucose. We examined the renoprotective effects of the SGLT2 inhibitor empagliflozin to determine whether blocking glucose entry into the kidney PTCs reduced the inflammatory and fibrotic responses of the cell to high glucose. We used an in vitro model of human PTCs. HK2 cells (human kidney PTC line) were exposed to control 5 mM, high glucose (HG) 30 mM or the profibrotic cytokine transforming growth factor beta (TGFβ1; 0.5 ng/ml) in the presence and absence of empagliflozin for up to 72 h. SGLT1 and 2 expression and various inflammatory/fibrotic markers were assessed. A chromatin immunoprecipitation assay was used to determine the binding of phosphorylated smad3 to the promoter region of the SGLT2 gene. Our data showed that TGFβ1 but not HG increased SGLT2 expression and this occurred via phosphorylated smad3. HG induced expression of Toll-like receptor-4, increased nuclear deoxyribonucleic acid binding for nuclear factor kappa B (NF-κB) and activator protein 1, induced collagen IV expression as well as interleukin-6 secretion all of which were attenuated with empagliflozin. Empagliflozin did not reduce high mobility group box protein 1 induced NF-κB suggesting that its effect is specifically related to a reduction in glycotoxicity. SGLT1 and GLUT2 expression was not significantly altered with HG or empagliflozin. In conclusion, empagliflozin reduces HG induced inflammatory and fibrotic markers by blocking glucose transport and did not induce a compensatory increase in SGLT1/GLUT2 expression. Although HG itself does not regulate SGLT2 expression in our model, TGFβ increases SGLT2 expression through phosphorylated smad3.
An Immunogenetic Approach to Spectra Recognition

The paper describes an immunogenetic approach to recognize spectra for chemical analysis. In particular, an immunological model for chemical reactions is introduced in which a population of specialists for each of the possible products was evolved using a genetic algorithm. Accordingly, a small well-trained specialist library is established and tested their recognition ability with real dataset (Raman Spectra). Our experiments produced very encouraging results in finding the correct products responsible for an input spectrum, epecificially, for a composite spectrum in which there are multiple products physically mixed and it would be very difficult to interpret otherwise.
An Increased Pool of Secretory Hormones and Peptides in Adrenal Medulla of Stroke‐Prone Spontaneously Hypertensive Rats

Secretory components of the adrenal medulla were compared in normotensive Wistar-Kyoto (WKY) rats and in stroke-prone spontaneously hypertensive rats (SHRSP) at both 4 and 12 months of age. Noradrenaline, adrenaline, dopamine, neuropeptide Y, and chromogranins A and B were significantly higher in adrenal glands of SHRSP than those of WKY rats at 4 months. At 12 months, the levels of these components in SHRSP had increased even more (about 200% in WKY rats). There was no change in the relative composition of the adrenal “secretory cocktail”. Neither the chromogranin A/chromogranin B ratio nor their apparent proteolytic processing in chromaffin granules differed between SHRSP or WKY rats. The lack of a significant change in membrane-bound cytochrome b561 and the small increase in dopamine β-hydroxylase suggest that the higher levels of secretory components in SHRSP are not simply caused by an increase in the number of chromaffin granules, but possibly by a selective increase in the secretory content of these organelles providing a larger package for quantal release by exocytosis. This may be relevant for the elevation of blood pressure in this strain. The immunological methods described in this paper allow for the first time a determination of the secretory quantal levels in catecholamine storage. This should be useful for further studies in hypertensive models.