Miracle-dz/UniFAR-FTUs huggingface dataset:
Noise Rejection for Wearable ECGs Using Modified Frequency Slice Wavelet Transform and Convolutional Neural Networks

Progress in wearable techniques makes the long-term daily electrocardiogram (ECG) monitoring possible. However, the long-term wearable ECGs can be significantly contaminated by various noises, which affect the detection and diagnosis of cardiovascular diseases (CVDs). The situation becomes more serious for wearable ECG screening, where the data are huge, and doctors have no way to visually check the signal quality episode-by-episode. Therefore, automatic and accurate noise rejection for the wearable big-data ECGs is craving. This paper addressed this issue and proposed a noise rejection method for wearable ECGs based on the combination of modified frequency slice wavelet transform (MFSWT) and convolutional neural network (CNN). Wearable ECGs were recorded using the newly developed 12-lead Lenovo smart ECG vest with a sample rate of 500 Hz and a resolution of 16 bit. One thousand 10-s ECG segments were picked up and were manually labeled into three quality types: clinically useful segments with good signal quality (type A), clinically useful segments with poor signal quality (type B), and clinically useless segments (pure noises, type C). Each of the 1,000 10-s ECG segments were transformed into a 2-D time-frequency (T-F) image using the MFSWT, with a pixel size of $200\times 50$ . Then, the 2-D grayscale images from MFSWT were fed into a 13-layer CNN model for training the classification models. Results from the standard 5-folder cross-validation showed that the proposed combination method of MFSWT and CNN achieved a highest classification accuracy of 86.3%, which was higher than the comparable methods from continuous wavelet transform (CWT) and artificial neural networks (ANN). The combination of MFSWT and CNN also had a good calculation efficiency. This paper indicated that the combination of MFSWT and CNN is a potential method for automatic identification of noisy segments from wearable ECG recordings.
Bioactive Flavonoid Glycosides from the Seeds of Rosa canina

Preparative RP-HPLC analysis of a methanol extract of the seeds of Rosa canina yielded kaempferol 3- O -(6? - O-E-p -coumaroyl)-ß-D-glucopyranoside and kaempferol 3- O -(6? - O-Z-p -coumaroyl)-ß-D-glucopyranoside. Structures of these compounds were elucidated by comprehensive spectroscopic analyses. Bioactivity, i.e., antibacterial and antioxidant activity and general toxicity, of these compounds were also determined.
Analysis of Relationships between Spinal Deformity and Walking Ability in Parkinson's Disease Patients

Introduction This study aimed to determine impacts on walking ability of spinal deformity and imbalance as distinct from movement disorders in Parkinson's disease (PD). Methods Thirty-two patients (15 males, 17 females; mean age 72.5 years) were analyzed. Three, thirteen, eleven, and five were at Hoehn-Yahr stages I, II, III, and IV, respectively. In addition to various spinal imbalance and deformity classifications the following were assessed: Cobb angle (CA) for scoliosis, thoracic kyphosis (TK) at T2-12, thoracolumbar kyphosis(TLK) at T12-L2, lumbar lordosis(LL) at L1-S1, pelvic tilt(PT), pelvic incidence(PI), and sagittal vertical axis(SVA). The Timed Up and Go (TUG) test was used to measure walking ability. Patients were evaluated using the Unified Parkinson's Disease Rating Scale (UPDRS) part III, and bone mineral density (BMD) scans. Results Nineteen patients (59%) had spinal deformity and imbalance within the following classifications: thoracic scoliosis, 1; thoracic kyphosis, 2; lumbar scoliosis, 15; Pisa syndrome, 3; camptocormia, 2. Mean values were 20.0° CA for scoliosis, 42.3° TK, 14.8° TLK, 26.7° LL, 20.8° PT, 48.8° PI, and 66.4 mm SVA. The mean TUG score was 13.9s. The UPDRS III mean was 36.6±24.5 points. Mean BMD was 0.856 g/cm2 at lumbar L2-4 and 0.585 g/cm2 at the femoral neck. UPDRS part III (P<0.001), LL (P<0.05), and femoral neck BMD (P<0.05) significantly correlated to TUG test results. Conclusions Distinct from the movement disorders of PD (UPDRS III), loss of normal LL and loss of BMD at the femoral neck were shown to be correlated with diminished walking ability (TUG test) in PD patients. When UPDRS improved in response to L-dopa, walking ability improved. In addition to any PD-specific interventions that contribute to the maintenance of ambulation, interventions specific to the restoration of LL, as well as early treatment for osteoporosis may positively affect HRQOL in PD.
Cladorhizidae (Porifera, Demospongiae, Poecilosclerida) of the deep Atlantic collected during Ifremer cruises, with a biogeographic overview of the Atlantic species

The study presents Cladorhizidae collected during Ifremer cruises in the Atlantic Ocean from 1981 to 2004. Fifteen species are described from the genera Abyssocladia, Asbestopluma, Chondrocladia and Cladorhiza, with complete descriptions of five new species. While a couple of species were collected at 670–1010 m depth at the Rockall Bank, most species were collected at middle to lower bathyal and abyssal depths (~2000–5000 m), ranging from the northern Atlantic to the Mid-Atlantic Ridge and the coast of Africa at Gabon–Congo. A biogeographic analysis of currently known Arctic, Atlantic and some Antarctic species shows that the majority of included cladorhizids are described from the north-east Atlantic and Arctic Oceans while a lower number of species are known from other parts of the Atlantic Ocean. Large regions are poorly investigated, and previously undescribed species can be expected when sampling in these areas. A regional mostly endemic cladorhizid fauna is predicted for shelf and upper slope areas. Species in the lower bathyal and abyssal seem on the other hand to have a wider geographical distribution.
Evaluating the potency of active compounds from Eurycoma longifolia jack roots extract as prostate cancer therapy

Prevalence of prostate cancer in Indonesia is around 16 cases per 100,000 of men. [1] Moreover, prostate cancer is including to the top 10 most common cancer in men. It according to data collected from 13 national histopathology centers throughout Indonesia. [2] There are several therapy for prostate cancer patients such as hormone therapy and radiation therapy,[3] but they have a lot of side effect and high cost. Therefore, the specific molecular mechanism of prostate cancer becomes a particular concern in research to find the solution. Research Article
Pitfalls in quantifying species turnover: the residency effect

The composition of ecological communities changes continuously through time. Understand- ing this turnover in species composition is a central goal in biogeography, but quantifying species turn- over can be problematic. Here, I describe an underappreciated source of bias in quantifying species turnover, namely 'the residency effect', which occurs when the contiguous distributions of species across sampling domains are small relative to census intervals. I present the results of a simulation model that illustrates the problem theoretically and then I demonstrate the problem empirically using a long-term dataset of plant species turnover on islands. Results from both exercises indicate that empiri- cal estimates of species turnover may be susceptible to significant observer bias, which may potentially cloud a better understanding of how the composition of ecological communities changes through time.
Spectrum-enhanced Pairwise Learning to Rank

To enhance the performance of the recommender system, side information is extensively explored with various features (e.g., visual features and textual features). However, there are some demerits of side information: (1) the extra data is not always available in all recommendation tasks; (2) it is only for items, there is seldom high-level feature describing users. To address these gaps, we introduce the spectral features extracted from two hypergraph structures of the purchase records. Spectral features describe the similarity of users/items in the graph space, which is critical for recommendation. We leverage spectral features to model the users' preference and items' properties by incorporating them into a Matrix Factorization (MF) model. In addition to modeling, we also use spectral features to optimize. Bayesian Personalized Ranking (BPR) is extensively leveraged to optimize models in implicit feedback data. However, in BPR, all missing values are regarded as negative samples equally while many of them are indeed unseen positive ones. We enrich the positive samples by calculating the similarity among users/items by the spectral features. The key ideas are: (1) similar users shall have similar preference on the same item; (2) a user shall have similar perception on similar items. Extensive experiments on two real-world datasets demonstrate the usefulness of the spectral features and the effectiveness of our spectrum-enhanced pairwise optimization. Our models outperform several state-of-the-art models significantly.
Market Share Strategies for Cloud Computing Providers

ABSTRACT The cloud computing industry is characterized by a small number of dominant providers and a host of small-to-medium providers. As the demand grows, additional providers are expected to enter the market. The need for 24/7 support and competitive pricing allows established providers to maintain defensible industry positions. This paper examines the impact of adopting growth and equilibrium market share strategies by cloud providers. Capacity planning remains a challenging problem given uncertain growth and demand, and providers seeking to pursue different market share strategies must adopt different tactics. Results from a system dynamics simulation indicate that market share growth can be achieved at the cost of overall revenue. A reactive strategy to maintain market share requires more price manipulation, but results in higher overall income. Simulations are conducted for a variety of economic conditions, with a view to providing cloud service providers broad guidance for cloud capacity building strategies.
Empirical evaluation of semi-supervised naïve Bayes for active learning

This thesis describes an empirical evaluation of semi-supervised and active learning individually, and in combination for the naive Bayes classifier. Active learning aims to minimise the amount of labelled data required to train the classifier by using the model to direct the labelling of the most informative unlabelled examples. The key difficulty with active learning is that the initial model often gives a poor direction for labelling the unlabelled data in the early stages. However, using both labelled and unlabelled data with semi-supervised learning might be achieve a better initial model because the limited labelled data are augmented by the information in the unlabelled data. In this thesis, a suite of benchmark datasets is used to evaluate the benefit of semi-supervised learning and presents the learning curves for experiments to compare the performance of each approach. First, we will show that the semi-supervised naive Bayes does not significantly improve the performance of the naive Bayes classifier. Subsequently, a down-weighting technique is used to control the influence of the unlabelled data, but again this does not improve performance. In the next experiment, a novel algorithm is proposed by using a sigmoid transformation to recalibrate the overly confident naive Bayes classifier. This algorithm does not significantly improve on the naive Bayes classifier, but at least does improve the semi-supervised naive Bayes classifier. In the final experiment we investigate the effectiveness of the combination of active and semi-supervised learning and empirically illustrate when the combination does work, and when does not.
Flushing meadows : the influence of management alternatives on the greenhouse gas balance of fen meadow areas

The degradation of peatlands is a major and growing source of anthropogenic greenhouse gas (GHG) emissions, and small changes in the management of peatlands can lead to drastic changes in GHG emissions and changes in carbon storage and in the past have indeed done so. GHG emissions from peatlands and the subsidence of peat soils can both probably be decreased by rewetting peatland and by restoring peatland by reducing the intensity of agricultural land use on peat soils. It might even be possible for these agricultural peatlands to revert to being sinks of GHGs. To test whether agricultural peat areas can be turned into GHG sinks and carbon sinks if they are restored and whether GHG emissions can at least be reduced by reducing management intensity and rewetting, a landscape-scale experiment measuring GHG emissions and carbon releases was started in 2005.
Studies in ascostromatic lichen-fungi-II. Types of ascostromata

Attention is drawn to the fact that the development of ascostromatic fungi is so diverse that it is possible to recognize a number of differently organized groups. Some of these groups correspond to the developmental types recognized by Luttrell but it is also shown that his Pleospora-type is not homogeneous, comprising as it does a number of categories, each of which has its own type of development of the ascocarp. To designate structures not indicated before, the new terms tichus, cataphysis, and tinophysis are introduced.
Fear screams and adaptation to avoid imminent death: effects of genetic variation and predation

Fear screams are calls emitted by prey just before or during capture by a predator, and the evolution of such calls has been attributed to the fitness benefits of escape from a predator due to interference by a secondary, kleptoparasitic predator or interference by conspecifics. If fear screams had beneficial effects on individuals carrying the same genes (in terms of learnt avoidance of a predator by related individuals, or predators avoiding future capture attempts of difficult prey), then fear screams should be more prevalent in species with little genetic variation and hence a high degree of shared alleles. In a comparative analysis of 71 species of birds, the proportion of individuals emitting fear screams in different species increased with the degree of genetic similarity among adults in local populations, as reflected by the band-sharing coefficient for neutral minisatellite markers. Furthermore, the proportion of individuals emitting fear screams in different species increased with the degree of preference by a common avian predator, the goshawk Accipiter gentilis, but not by the sparrowhawk Accipiter nisus, showing that individuals belonging to species that suffered disproportionately from predation were more likely to emit fear screams. Finally, the proportion of individuals emitting fear screams in different species increased with the proportion of individuals that were tail-less, thus having successfully escaped a predator. These results suggest that genetic variation has played a role in the evolution of fear screams, and that the frequency of fear screams is related to the risk of predation and the probability of successful escape.
The genetic diversity of Myrciaria floribunda (Myrtaceae) in Atlantic Forest fragments of different sizes

The genetic diversity of Myrciaria floribunda, a common Atlantic Forest tree, was investigated in six populations located in two small fragments (10 and 18 ha), two medium-sized fragments (36 and 44 ha) and one large fragment (3003 ha). Two populations occur in the large fragment. It is expected that smaller fragments should have lower genetic diversity and higher inbreeding. Distances between fragments varied from 0.66 to 10 km. On average 32 young trees smaller than 20 cm basal girth were sampled in each population. Allozyme electrophoresis was carried out, and six loci were scored. The effective number of alleles was lower for populations of the two small fragments (1.46 and 1.51) and higher for populations of the large (1.62 and 1.71) and medium ones (1.69 and 1.84). Small fragments showed lower values of expected and observed heterozygosities than large and medium fragments. Most of the genetic variability occurs within populations, and there was a moderate genetic variation among them ($\hat{\theta}_p$ = 0.097). Our findings show a tendency of lower genetic diversity within small and isolated fragments and higher genetic differentiation among them. But, few correlations between genetic diversity indices and fragment features (size and isolation) were significant.
Robot Arm Kinematics Learning Using Point Plotter

Learning kinematics of the robot arm can be very challenging for engineering students, especially when delivered in equations only. Students are expected to understand the basic theory while knowing where the theory should be applied. The aim of this research is to develop visual media for learning kinematic using simple tools and material. This visual media is called point plotter and consists of only cardboard and two protractors. The test conducted on two different treatment groups shows significant differences on learning outcomes. Moreover, student response for the subject, interface, and benefits aspect show positive results with the summary of all aspect is 82.93%, indicating this media is very acceptable.
Evaluation the Impacts of Knee Osteoarthritis on Quality of Life among Jordanian Patients Using the Arabic Version of the Western Ontario and Mcmaster Universities Arthritis Index (WOMAC)

Introduction: Knee osteoarthritis is one of the most common knee pathologies worldwide. The physical activity level of individuals with knee OA has been evaluated among different countries, but never done in Jordan. However, the life habits of Jordanian including eating habits, living area environment, life style, and other daily practices are different from western countries. Aim: The main purpose of this study is evaluating the effects of knee OA on quality of life for Jordanian before prescribing any of the recommended orthotics interventions. Method: 50 participants (42 females, 8 males, 57 ± 12 years, and 86 ± 18 kg) were recruited in this investigation. Each participant was asked to fill a WOMAC questionnaire. Results: the total WOMAC score (0.66 ± 0.15) and pain score (0.65 ± 0.18) are high among Jordanian knee OA patients. Most of the patients complain from severe pain during using stairs, praying, and sitting on floor to having a meal. Knee stiffness is more noticeable in the morning and some daily activities were limited due to pain. Conclusion: The life habit in Jordan is different from other countries. Jordanians have special daily activities that increase pain, joint degeneration, and accelerate the need for total knee replacement surgery. Thus, orthotics and therapists should be aware about those activities and ask their patients to reform their life style before prescribing any orthotics interventions for better outcomes.
UAV-Assisted Supporting Services Connectivity in Urban VANETs

To keep the services and applications of intelligent transportation system stable and active, vehicular ad hoc networks (VANETs) are considered as an essential building block to maintain and manage its features. A wide deployment of VANETs is possible only after addressing numerous research challenges. One of the most complicated issues consists of designing a routing strategy, taking into consideration several serious constraints, and especially in a network such as VANET. The severity of these issues would be increased significantly when a VANET is deployed over an urban area, where we distinguish the high mobility of nodes and existing obstructions (e.g., buildings, bridges, tunnels, etc.). In this paper, an efficient routing solution based on a flooding technique is conceived to make the data delivery more reliable and to guarantee robust paths. Vehicles can cooperate in ad hoc fashion with existing unmanned aerial vehicles (UAVs). This kind of collaboration provides reliable routing paths and ensures alternative solutions in the case of path failures. Furthermore, a prediction technique is used to expect the expiration time of each discovered path. To limit the overhead over the network, all control packets are characterized by their static size making the originality of this work. Based on the simulation outputs, we discuss the performances of the proposed approach as compared with other dedicated previous schemes in terms of several metrics. The obtained results demonstrate that the hybrid communication between vehicles and UAVs based on the proposed flooding technique is perfectly suited to improve the data delivery process.
A Scalable Framework Using Spatial Inverted Index for Context Aware Query Suggestion

keyword suggestion has become one of the most fundamental features of commercial web search engines. After submitting a keyword query, the user may not be satisfied with the results, so the keyword suggestion module of the search engine recommends a set of m keyword queries that are most likely to refine the user’s search in the right direction. Existing keyword suggestion techniques do not consider the locations of the users and the query results; i.e.,the spatial proximity of a user to the retrieved results is not taken as a factor in the recommendation.
Reverse-genetics by TILLING expands through the plant kingdom

There is a rich history of using induced mutations to deduce the in vivo function of genes and to develop crops with superior traits. The reverse-genetics strategy known as TILLING (Targeting Induced Local Lesions IN Genomes) was created to harness the power of induced mutations to target and recover lesions in specific genes. TILLING combines traditional mutagenesis strategies that have been in use since the early part of the 20th century with high- throughput discovery methods that are continuously being developed and improved upon. Because mutation induction and mutation discovery are not species-specific, TILLING is a general method that can be applied to most organisms. Since its first description in 2000, TILLING has been applied to over 20 plant species. We review here progress in the development and adaptation of TILLING for different plant species, describe the companion technology, Ecotilling, for discovery of natural nucleotide polymorphisms, and discuss future directions for reverse-genetics using induced mutations.
Domain theory

bases were introduced in [Smyth, 1977] where they are called \R-structures". Examples of abstract bases are concrete bases of continuous domains, of course, where the relation is the restriction of the order of approximation. Axiom (INT) is satis ed because of Lemma 2.2. 15 and because we have required bases in domains to have directed sets of approximants for each element. Other examples are partially ordered sets, where (INT) is satis ed because of re exivity. We will shortly identify posets as being exactly the bases of compact elements of algebraic domains. In what follows we will use the terminology developed at the beginning of this chapter, even though the relation on an abstract basis need neither