Miracle-dz/UniFAR-FTUs huggingface dataset:
Configuration Optimization and a Tension Distribution Algorithm for Cable-Driven Parallel Robots

In order to improve the performance of cable-driven parallel robots (CDPRs), the configuration of the redundantly actuated CDPRs is optimized, and a feasible continuous tension distribution method for tracking the trajectory of the robot is proposed. A convex analysis method is used to determine the wrench-feasible workspace of CDPRs and the grouped coordinate descent method is used to determine the size of the redundantly actuated six-degree-of-freedom CDPRs. By changing the cable layout and using the geometric analysis method for the redundantly actuated CDPRs, the maximum rotation angle of the mobile platform in 3-D space is determined. The optimal size and layout of the CDPR are determined by comparison and analysis. The high dynamic CDPRs require real-time control to adjust the cable tension. In order to solve this issue, a real-time cable tension distribution algorithm for a non-iteration two-degree-of-freedom actuation redundancy CDPR is proposed. The proposed tension distribution algorithm is applied to the optimized six-degree-of-freedom eight-cable CDPR, and compared with other existing cable tension distribution algorithms. The simulation results demonstrated that the feasibility and the advantages of the proposed cable tension distribution algorithm.
BNCT SYSTEM USING 30 MEV H - CYCLOTRON

9n/cm 2 /sec epithermal neutrons for cancer treatment, a newly designed 30 MeV H- AVF cyclotron named HM-30 was constructed and is being operated. With newly developed spiral inflector, the beam current in the central region can exceed 2 mA. The cyclotron is operated stably at 1 mA. Extracted proton beam is expanded by two scanner magnets in order to moderate heat concentration on the beryllium target, which is directly cooled by water to endure 30 kW heat load. Fast neutrons are emitted from the target, and moderated to epithermal region by a moderator which consists of lead, iron, polyethylene, etc. Thermal neutron flux in a water phantom is measured by gold wire, which is consistent with the calculation using MCNPX. Preclinical studies are being carried out with 10B-p-Borono- phenylalanine (BPA).
Coastal Ocean Forecasting: science foundation and user benefits

The advancement of Coastal Ocean Forecasting Systems (COFS) requires the support of continuous scientific progress addressing: (a) the primary mechanisms driving coastal circulation; (b) methods to achieve fully integrated coastal systems (observations and models), that are dynamically embedded in larger scale systems; and (c) methods to adequately represent air-sea and biophysical interactions. Issues of downscaling, data assimilation, atmosphere-wave-ocean couplings and ecosystem dynamics in the coastal ocean are discussed. These science topics are fundamental for successful COFS, which are connected to evolving downstream applications, dictated by the socioeconomic needs of rapidly increasing coastal populations.
Comparative Study of two Different Doses of Dexmedetomidine with Hyperbaric Bupivacaine in Spinal Anaesthesia in Lower Limb Surgeries

Effective perioperative pain management during lower limb surgeries has been demonstrated to decrease associated morbidity and ameliorate patient’s post operative outcome. Dexmedetomidine which is a selective alpha-2 agonist has recently been reported to be used as adjuvant to prolong spinal anesthesia. The present study was done to evaluate the onset and duration of sensory and motor block, haemodynamic changes as well as post operative analgesia and adverse effects of adding dexmedetomidine to hyperbaric bupivacaine for lower limb surgery in spinal anesthesia. The present study was done at Dept. of Anaesthesiology Gandhi Medical College, Bhopal on 60 patients, who were divided into two groups: Group D5 (received 3 ml hyperbaric 0.5% bupivacaine 15 mg +5 μg dexmedetomidine) and Group D10 (received 3 ml hyperbaric 0.5% bupivacaine 15 mg +10 μg dexmedetomidine). Preloading was done followed by spinal anesthesia at the level of L3-L4 using a 25-gauge Quincke spinal needle. Blood pressure, heart rate and partial pressure of oxygen was monitored before performing the spinal anesthesia, and once in every 5 minutes, then after every 15 minutes in the Post Anesthesia Care Unit (PACU) till the recovery of sensory and motor functions. In the PACU, the sensory level and Bromage scale were recorded every 15 minutes until the patient was discharged from the PACU. The level of sedation was evaluated just before surgery, intra operatively and post-operatively every 15 minutes using the Ramsay sedation scales. The time to reach T10 sensory dermatome in group D5and group D10 was 3.5±0.8 min and 3.1±0.5 min and time to reach Bromage 3 scale was 4.4±1.2 min and 3.9±1.0 min respectively (p>0.05). The regression of the sensory block to S1 dermatome in group D5 and Group D10 was 249.6+26.8 min and 340.2±42.9 min respectively and motor block to Bromage scale 0 was 225.0+23.3 min and 302.1±31.5 min respectively (p<0.001).
PLATO: PSF modelling using a micro-scanning technique

The PLATO space mission is designed to detect telluric planets in the habitable zone of solar type stars, and simultaneously characterise the host star using ultra high precision photometry. The photometry will be performed on board using weighted masks. However, to reach the required precision, corrections will have to be performed by the ground segment and will rely on precise knowledge of the instrument PSF (Point Spread Function). We here propose to model the PSF using a microscanning method.
Searching for dense subsets in a graph via the partition function

For a set $S$ of vertices of a graph $G$, we define its density $0 \leq \sigma(S) \leq 1$ as the ratio of the number of edges of $G$ spanned by the vertices of $S$ to ${|S| \choose 2}$. We show that, given a graph $G$ with $n$ vertices and an integer $m$, the partition function $\sum_S \exp\{ \gamma m \sigma(S) \}$, where the sum is taken over all $m$-subsets $S$ of vertices and $0 < \gamma <1$ is fixed in advance, can be approximated within relative error $0 < \epsilon < 1$ in quasi-polynomial $n^{O(\ln m - \ln \epsilon)}$ time. We discuss numerical experiments and observe that for the random graph $G(n, 1/2)$ one can afford a much larger $\gamma$, provided the ratio $n/m$ is sufficiently large.
Secure Caching in D2D Content Sharing

The content sharing based on device-to-device (D2D) communications is considered as a promising technology to face the challenge due to the explosive growth of wireless data traffic. To achieve the content sharing based on D2D communications, the problem of the security is a huge challenge. In this paper, we consider the secure content caching in content sharing scenarios based on D2D communications. The secure content caching is formulated as the maximum of the sum cache hit rate in the framework of physical layer security. Further, we model the secure content caching as an exact potential game. Subsequently, we design a secure content caching scheme based on no-regret procedure to converge to the correlated equilibrium of the pro-posed potential game. To verify the performance of the proposed secure content caching scheme, we discuss the computational complexity of the proposed secure content caching scheme. In addition, simulation results verify that the performance of our proposed secure content caching scheme is near-optimal.
Phytochemical and Antioxidant Properties of Manilkara zapota (L.) P RoyenFruit Extracts and its Formulation for Cosmeceutical Application

Manilkara zapota (L.) P fruit extracts were investigated for its bioactive compounds and their potential of natural antioxidant properties for cosmeceutical application. In vitro antioxidant activity of hexane, ethyl acetate, and ethanol extracts were evaluated by 1,1-diphenyl-picrylhydrazyl (DPPH) radical scavenging activity, s-carotene bleaching activity assays (BCB) and oxygen radical absorbance capacity (ORAC) methods. Total phenolic (TPC), total flavonoid (TFC) and total tannin (TT) of the extracts were determined. Antioxidant activity by DPPH scavenging activity has a good correlation with phenolic and flavonoid content R2=0.9905 and R2=0.9924. Whereas, no correlation was shown between ORAC and TPC values (R2<0.1). Liquid chromatography mass spectrometry (LCMS) was used to analyze the amount of targeted phenolic and fatty acids in EtPE, EaPE and ethyl acetate seed extract (EaSE). EaPE and EtPE extracts demonstrated strong antioxidant activity than HSE (3.09 ± 0.08 μg/mL, 2.57 ± 0.18 μg/mL and 7.54 ± 0.17 μg/mL (p<0.05), respectively). However, EtPE extract was chosen to be formulated and studied as ethanol is much cheaper than ethyl acetate as solvent for extraction. The formulation exhibited non-toxic property and thus safe to be explored in cosmeceutical application.
New adaptive thresholding-based ECG R-peak detection technique

The QRS complexes (R-peaks) in the electrocardiogram (ECG) signals are essential features as they provide information for the diagnosis of heart diseases. Because detection accuracy is a major concern in clinical practices, most of the detection methods are complex and computationally expensive. However, in ubiquitous healthcare (u-healthcare), the energy consumption is a question; thus, detection time has to be minimized. In this paper, we propose a new intelligent detection algorithm, which minimizes detection time while maintaining a good level of detection performance. Experimental results, in detecting the R-peaks in 30 minutes long records, showed that the proposed algorithm has achieved an Se (sensitivity) of 99.63% and a +P (positive predictivity) of 99.50% outperforming the well-known algorithms from literature.
Interactive comment on “ Intra-community spatial variability of particulate matter size distributions in southern California / Los Angeles ” by M . Krudysz

Interactive comment on &#8221;Intra-community spatial variability of particulate matter size distributions in Southern California/Los Angeles&#8221; by Krudysz et al. This manuscript presents ambient aerosol size distribution measurements conducted over long time period in several sites in Los Angeles. The data is valuable and well presented. The manuscript contains new novel science. This a good manuscript and should be published in ACP after considering the issues discussed in the following. Major comment: The local meteorology is known to play a major role in shaping the spatial distribution of
Pulsation-induced atmospheric dynamics in M-type AGB stars. Effects on wind properties, photometric variations and near-IR CO line profiles

Wind-driving in asymptotic giant branch (AGB) stars is commonly attributed to a two-step process. First, matter in the stellar atmosphere is levitated by shock waves, induced by stellar pulsation, and second, this matter is accelerated by radiation pressure on dust, resulting in a wind. In dynamical atmosphere and wind models the effects of the stellar pulsation are often simulated by a simplistic prescription at the inner boundary. We test a sample of dynamical models for M-type AGB stars, for which we kept the stellar parameters fixed to values characteristic of a typical Mira variable but varied the inner boundary condition. The aim was to evaluate the effect on the resulting atmosphere structure and wind properties. The results of the models are compared to observed mass-loss rates and wind velocities, photometry, and radial velocity curves, and to results from 1D radial pulsation models. Dynamical atmosphere models are calculated, using the DARWIN code for different combinations of photospheric velocities and luminosity variations. The inner boundary is changed by introducing an offset between maximum expansion of the stellar surface and the luminosity and/or by using an asymmetric shape for the luminosity variation. Models that resulted in realistic wind velocities and mass-loss rates, when compared to observations, also produced realistic photometric variations. For the models to also reproduce the characteristic radial velocity curve present in Mira stars (derived from CO $\Delta v = 3$ lines), an overall phase shift of 0.2 between the maxima of the luminosity and radial variation had to be introduced. We find that a group of models with different boundary conditions (29 models, including the model with standard boundary conditions) results in realistic velocities and mass-loss rates, and in photometric variations.
Proliferative role of BDNF/TrkB signaling is associated with anoikis resistance in cervical cancer

Brain-derived neurotrophic factor (BDNF) is known as one of the members of the neurotropin family. BDNF-induced activation of its receptor tyrosine kinase B (TrkB) is associated with anoikis tolerance, tumor progression and poor prognosis in many types of malignancy. However, to the best of our knowledge, there are no reports describing the contribution of the BDNF/TrkB axis to cervical cancer. BDNF and TrKB expression in cervical cancer (CC) tissues and adjacent normal tissues from 87 patients were analyzed by immunohistochemistry, western blot analysis and quantitative PCR assays and the results showed that they were significantly higher in cancer tissues than that in normal adjacent tissues, respectively. Higher expression rates of BDNF and TrKB were observed in stage IIB or higher and BDNF expression was positively associated with lymph node metastasis. Notably, a high expression of TrKB may be contributed to poor survival time, which confirmed by Kaplan-Meier analysis. Compared to the corresponding CC cell lines, HeLa, SiHa, CASKI, C4-1 and C-33a, BDNF and TrKB expression was enhanced in anoikis-like apoptotic tolerance (AAT), a cell model established from cervical cancer cell lines. AAT cells showed a higher proliferation activity compared with CC cell lines, which was confirmed by a shorter G0/G1 phase, elevated cyclin A, cyclin D1 and c-myc, decreased caspase-3 and Bax, and increased Bcl-2. By contrast, the knockdown of TrKB expression reversed these changes in AAT cells, induced G0/G1 arrest and suppressed proliferation activity. The results of the present study show that PI3K/Akt signaling is involved in the BDNF/TrKB-induced proliferation of AAT cells in cervical cancer. These findings indicate that BDNF/TrKB pathway is a potential target for the treatment of cervical cancer.
A computationally efficient pipeline for camera-based indoor person tracking

Multi-camera person tracking requires the combination of high performance computation and efficient communication approaches in order to satisfy both the required accuracy and real-time processing requirements. In this paper, we present the initial results of our ongoing research project for a multi-target multi-camera tracking system. We propose a modular image processing pipeline comprised of background estimation, person detection, feature extraction, feature matching, and position estimation to track people between video frames, conscious of maintaining lower computation times and efficient interaction between multiple cameras. We present a weighted sequential k-means clustering approach to address the key challenge of feature matching for identifying/re-identifying individuals in an indoor environment. This approach is a form of computationally efficient online unsupervised learning suitable for meeting real-world requirements. Our results show that our approach has comparable accuracy in terms of assigning labels for person tracking, while achieving real-time computational requirements in an unsupervised manner.
Encoding Spatial Relations from Natural Language

Natural language processing has made significant inroads into learning the semantics of words through distributional approaches, however representations learnt via these methods fail to capture certain kinds of information implicit in the real world. In particular, spatial relations are encoded in a way that is inconsistent with human spatial reasoning and lacking invariance to viewpoint changes. We present a system capable of capturing the semantics of spatial relations such as behind, left of, etc from natural language. Our key contributions are a novel multi-modal objective based on generating images of scenes from their textual descriptions, and a new dataset on which to train it. We demonstrate that internal representations are robust to meaning preserving transformations of descriptions (paraphrase invariance), while viewpoint invariance is an emergent property of the system.
Digital Simondon : The collective individuation of man and machine

Simondon’s theory of individuation is the dynamic world process by which everything arises: technology, living beings, individuals, groups and thoughts. The full subjectivation of the individual requires both individual and collective individuations. This paper examines how the Contemporary Media Environment (CME) may be influencing the realization of individual and collective individuations as specified by Simondon. The CME is the current situation of the widespread connected world of computing, and the pervasive presence of technology in an increasingly rich information environment between and amongst human and machine entities. The CME is further distinguished by its use in all manner of human activity, and the increasing emergence of technology as “the other” in the human-technology relation. The CME might stimulate greater activation of individuation, both individual and collective individuation, and also now collective individuation with machine others as group members. In the case of individual individuation, CME technologies might facilitate the three types of individuation: self-world incompatibilization, “exceeding the self ” incompatibilization, and “Zarathustra moments” of disindividuating individuation. Likewise in the case of the collective individuation, CME technologies might facilitate the structuring of emotion or other input signals across a group that then causes the collective individuation. In the case of human-technology individuations, the CME is the venue, facilitating mechanism, and mediator of collective individuations amongst human and technology entities. One worry might be that the CME infantilizes humans, but the opposite is true. The individuation possibilities afforded by the CME could lead to a deeper and more integrated partnership between humans and technology, and smoother transitions to a future of a multispecies intelligence. Productive interaction between intelligent species could be fostered through the notion of being joined together in the common framework of a capacity spectrum for mutual individuation in digital society.
Traffic Anomaly Detection and Prediction Based on SDN-Enabled ICN

With the rapid development of Information-centric networking, a multifunctional traffic monitoring system that can be applied in operable ICN network is imminent. Based on the L-EWMA algorithm, this paper designs a complete SDN-enabled ICN network monitoring system that achieves the network anomaly detection in real time and automatically judges the abnormal type according to the characteristics of abnormal traffic scenes. Compared with other anomaly traffic detection algorithms, this system adds the functions of abnormal traffic location and prediction analysis and uses the SDN-enabled ICN controller to analyze all network information. Therefore, mastering all aspects of abnormal traffic situation and making an accurate judgment become reality.
Classifier modeling and numerical taxonomy of Actinidia (Actinidiaceae) in Taiwan.

Although kiwifruit (Actinidia) is popular worldwide, its complex morphology has resulted in long-standing confusion regarding its nomenclature, classification, and identification. In an attempt to resolve this issue, we conducted a phylogenetic analysis on 72 wild Actinidia accessions in Taiwan. We used 60 morphological characters as taxonomic traits to construct a seriated heat map that revealed A. callosa var. ephippioidea and A. rufa (sensu Flora of Taiwan, 2(superscript nd) Edition) as introgressive hybrids between A. chinensis var. setosa and A. callosa (sensu Flora of Taiwan, 2(superscript nd) Edition), as well as five significant groups of Actinida in Taiwan. Based on these results, we coded the indicator response matrix for the logistic regression models as dichotomizers and used a Bayesian discriminant model as a polychotomizer. After classifier modeling, the two classifiers were combined to identify Actinidia specimens in domestic and international herbaria. As a result, a taxonomic revision was made: A. callosa var. callosa and A. callosa var. ephippioidea were revised as A. rufa; A. rubricaulis was revised as A. callosa var. discolor; A. chinensis var. setosa was elevated to A. setosa; and A. tetramera was a misidentification of A. arguta. Of these, only A. setosa is endemic to Taiwan.
Interpreting the variability of space-borne CO 2 column-averaged volume mixing ratios over North America using a chemistry transport model

We use the GEOS-Chem chemistry transport model to interpret the sources and sinks of CO2 that de- termine variability of column-averaged volume mixing ra- tios (CVMRs), as observed by the SCIAMACHY satellite instrument, during the 2003 North American growing sea- son. GEOS-Chem generally reproduces the magnitude and seasonal cycle of observed CO2 surface VMRs across North America and is quantitatively consistent with column VMRs in later years. However, it cannot reproduce the magnitude or variability of FSI-WFM-DOAS SCIAMACHY CVMRs. We use model tagged tracers to show that local fluxes largely determine CVMR variability over North America, with the largest individual CVMR contributions (1.1%) from the land biosphere. Fuel sources are relatively constant while biomass burning makes a significant contribution only during mid- summer. We also show that non-local sources contribute sig- nificantly to total CVMRs over North America, with the bo- real Asian land biosphere contributing close to 1% in mid- summer at high latitudes. We used the monthly-mean Ja- cobian matrix for North America to illustrate that: 1) North American CVMRs represent a superposition of many weak flux signatures, but differences in flux distributions should permit independent flux estimation; and 2) the atmospheric e-folding lifetimes for many of these flux signatures are 3-4 months, beyond which time they are too well-mixed to inter- pret. These long lifetimes will improve the efficacy of ob- served CVMRs as surface CO2 flux constraints.
The effect of external knowledge sources and their geography on innovation in Knowledge Intensive Business Services (KIBS) SMEs; some Implications for de-industrialised regions in the UK

The paper explores the effect of external knowledge sources and their geography on innovation activity in small Knowledge Intensive Business Services (KIBS). It draws on results from a survey conducted in 2010 of 342 small and medium (SME) KIBS in the UK’s, North East and West Midlands. It is shown that innovation is supported by knowledge gained from frequent interaction with regional and UK customers as well as more frequent interaction with local business networks, including informal contacts as well as national licensing arrangements, regional and UK commercial networks and UK public and professional infrastructure. Innovation capability is also enhanced by internationalisation through both traded and untraded relationships. Various industry-specific business networks and regional government agencies also act as important sources of knowledge and networking in de-industrialised regions. No support is found for benefits arising from the clustering of firms in similar line of business or with regional universities or public sector organisations. Also, while we acknowledge positive effect of R&D on KIBS innovativeness we argue that its' effect is much less important compared to regional and extra regional knowledge sources