Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Normalization: A novel data normalization approach for non-stationary time series

Data normalization is a fundamental preprocessing step for mining and learning from data. However, finding an appropriated method to deal with time series normalization is not a simple task. This is because most of the traditional normalization methods make assumptions that do not hold for most time series. The first assumption is that all time series are stationary, i.e., their statistical properties, such as mean and standard deviation, do not change over time. The second assumption is that the volatility of the time series is considered uniform. None of the methods currently available in the literature address these issues. This paper proposes a new method for normalizing non-stationary heteroscedastic (with non-uniform volatility) time series. The method, named Adaptive Normalization (AN), was tested together with an Artificial Neural Network (ANN) in three forecast problems. The results were compared to other four traditional normalization methods, and showed AN improves ANN accuracy in both short- and long-term predictions.
Comprehensive oral-health assessment of individuals with acquired brain-injury in neuro-rehabilitation setting

Abstract Primary objective: To perform a detailed clinical oral health assessment and oral-health-related social and behavioural aspect assessment in individuals with acquired brain injury (ABI). Research design: Prospective observational study. Methods and procedures: Thirteen individuals with ABI were recruited. Individual’s social and behavioural history, bed-side oral examination score (BOE), tooth condition and periodontal status (bleeding, plaque and clinical attachment loss) were thoroughly examined. The entire examination took up to 60 minutes, using proper dental armamentarium. Main outcomes and results: All evaluated individuals were diagnosed with chronic generalized periodontitis. A relationship between active periodontal disease and severe BOE score was observed (p = 0.01). Significant interaction between severe BOE scores (≥ 15 or ≥ 14) and periodontal disease severity of ≥ 2 mm (p = 0.01) was observed. The same interaction was seen between severe BOE scores and the combination of 75% extent and 2 mm severity (p = 0.01). Severity and activity of periodontitis showed dependence on individual brushing frequency (p = 0.03 and p = 0.05, respectively). Conclusions: Individuals with ABI had a poor status across a range of oral-, dental- and periodontal-related parameters. Further structured studies are required to define evidence-based assessment approaches for such clinical reality.
Diagnosis of hypersplenism with the epinephrine stimulation test - 23 years of experience at a tertiary care hospital.

PRINCIPLES Hypersplenism can be defined by thrombocytopenia and/or neutropenia resulting from blood cell sequestration in an enlarged spleen. In multimorbid patients the differential diagnosis of cytopenia is challenging and currently there is no established test for diagnosing hypersplenism. METHODS The epinephrine stimulation test (EST) measures changes in platelets, neutrophil counts and spleen size following a subcutaneous epinephrine injection. We retrospectively analysed the results of EST in 228 patients. RESULTS Increases in neutrophils and platelets after epinephrine injection were significantly greater in patients with enlarged than in patients with normal size spleens. Using cutoffs of low, intermediate and high confidence EST was positive in 69.8% vs. 41.3% (low confidence), 49.6% vs. 17.4% (intermediate confidence) and 38.8% vs. 10.9% (high confidence) in patients with enlarged vs. normal size spleens. Changes in platelet and neutrophil counts correlated with each other and with changes in spleen size, confirming cell release from the spleen during EST. When stratified according to the underlying diagnosis, patients with liver disease had the strongest response to EST, patients with malignant haematological diseases the weakest. In addition the response to EST was significantly related to changes in platelet and neutrophil counts after splenectomy, confirming the validity of our test. No serious side effects occurred during EST. CONCLUSION When used in a large patient cohort, EST is a safe and simple diagnostic test. In this exploratory study EST is of value in evaluating patients with cytopenia and a positive EST argues strongly for hypersplenism. Future studies should prospectively evaluate EST for the management of patients with splenomegaly.
Improved limits on the lepton-flavor violating decays τ-→l-l+l-

The authors search for the neutrinoless, lepton-flavor-violating tau decays {tau}{sup -} {yields} {ell}{sup -}V{sup 0}, where {ell} is an electron or muon and V{sup 0} is a fector meson reconstructed as {phi} {yields} K{sup +}K{sup -}, {rho} {yields} {pi}{sup +}{pi}{sup -}, K* {yields} K{sup +}{pi}{sup -}, {bar K}* {yields} K{sup -}{pi}{sup +}. The analysis has been performed using 451 fb{sup -1} of data collected at an e{sup +}e{sup -} center-of-mass energy near 10.58 GeV with the BABAR detector at the PEP-II storage rings. The number of events found in the data is compatible with the background expectation, and upper limits on the branching fractions are set in the range (2.6-19) x 10{sup -8} at the 90% confidence level.
Inhibition of Alpha-glucosidase and Amylase by Luteolin, a Flavonoid

Twenty-one naturally occurring flavonoids were tested for inhibitory activities against alpha-glucosidase (EC 3.2.1.20) and alpha-amylase (EC 3.2.1.1). Luteolin, amentoflavone, luteolin 7-O-glucoside, and daidzein were the strongest inhibitors among the compounds tested. Luteolin inhibited alpha-glucosidase by 36% at the concentration of 0.5 mg/ml and was stronger than acarbose, the most widely prescribed drug, in inhibitory potency, suggesting that it has the possibility to effectively suppress postprandial hyperglycemia in patients with non-insulin dependent diabetes mellitus. Luteolin also inhibited alpha-amylase effectively although it was less potent than acarbose. The clinical value of luteolin needs to be further evaluated.
Adaptive Spatial Reasoning for Turn-based Strategy Games

The quality of AI opponents often leaves a lot to be desired, which poses many attractive challenges for AI researchers. In this respect, Turn-based Strategy (TBS) games are of particular interest. These games are focussed on high-level decision making, rather than low-level behavioural actions. For efficiently designing a TBS AI, in this paper we propose a game AI architecture named ADAPTA (Allocation and Decomposition Architecture for Performing Tactical AI). It is based on task decomposition using asset allocation, and promotes the use of machine learning techniques. In our research we concentrated on one of the subtasks for the ADAPTA architecture, namely the Extermination module, which is responsible for combat behaviour. Our experiments show that ADAPTA can successfully learn to outperform static opponents. It is also capable of generating AIs which defeat a variety of static tactics simultaneously.
Where Do Interorganizational Networks Come From?1

Organizations enter alliances with each other to access critical re‐sources, but they rely on information from the network of prior alli‐ances to determine with whom to cooperate. These new alliances modify the existing network, prompting an endogenous dynamic be‐tween organizational action and network structure that drives the emergence of interorganizational networks. Testing these ideas on alliances formed in three industries over nine years, this research shows that the probability of a new alliance between specific organi‐zations increases with their interdependence and also with their prior mutual alliances, common third parties, and joint centrality in the alliance network. The differentiation of the emerging network structure, however, mitigates the effect of interdependence and en‐hances the effect of joint centrality on new alliance formation.
Combined effect of mothers' and fathers' mental health symptoms on children's behavioral and emotional well-being.

BACKGROUND Few studies have examined the effects on children of maternal mental health symptoms other than depressive symptoms or have examined the joint effects of mothers' and fathers' mental health symptoms. OBJECTIVE To examine whether the father's mental health symptoms may modify the association between the mother's mental health and the child's behavioral and emotional health. METHODS Cross-sectional data from a national longitudinal survey of families provided information on 822 children aged 3 to 12 years who were living with both parents. The main child outcomes were the Behavior Problems Index-Externalizing (BPI-EXT) and-Internalizing (BPI-INT) subscales. The mother's and father's mental health were each assessed by self-report using the K10, a new, validated 10-item screen for serious mental illness, including mood or anxiety disorder. Parents with scores in the upper quartile were considered to be in poorer mental health and those with scores in the other 3 quartiles were considered to be in better mental health. RESULTS Adjusted for covariates, having both parents in poorer mental health was associated with a 1-SD increase in the children's BPI-EXT scores (beta coefficient, 5.2; SE, 0.9; P<.001) compared with neither parent reporting poorer mental health. This effect was substantially weakened if the mother was in poorer mental health but the father was not (beta coefficient, 1.8; SE, 0.5; P<.01). There was no statistically significant effect if only the father was in poorer mental health (beta coefficient, 0.1; SE, 0.6; P =.88). The risk of a child having a high BPI-EXT score (>or=90th percentile for the cohort) was elevated if both parents reported poorer mental health (odds ratio, 9.2; 95% confidence interval [CI], 4.8-17.8), but was less elevated if only the mother reported poorer mental health (odds ratio, 2.3; 95% CI, 1.1-4.9), and was not elevated if only the father reported poorer mental health (odds ratio, 0.6; 95% CI, 0.2-1.9). Similar patterns emerged for children's BPI-INT scores. CONCLUSIONS A father in better mental health may buffer the influence of a mother's poorer mental health on a child's behavioral and emotional problems, and these problems seem to be most severe for children who have 2 parents with poorer mental health. The form and intensity of pediatric approaches to mothers with poorer mental health may need to consider the mental health of fathers.
Cardiac force and high-energy phosphates under metabolic inhibition in four ectothermic vertebrates.

Isometric twitch tension of ventricular preparations stimulated at 0.2 Hz fell over 30 min of anoxia by a fraction decreasing in the order rainbow trout, cod, eel, and freshwater turtle. Drops in the estimated cytoplasmic energy state were related to larger tension losses for trout than for the other species, possibly due to larger changes in free phosphate. Anoxic energy degradation was slower for turtle than for the other species. Anoxia combined with glycolytic inhibition (1 mmol/l iodoacetate) enhanced the decrease in twitch tension for a drop in energy state and enlarged the increase in ADP/ATP relative to that in creatine/phosphocreatine to an extent inversely related to the creatine kinase activity. Furthermore, it increased resting tension to an extent possibly related to myosin-adenosinetriphosphatase (ATPase) activity and lowered the content of phosphorylated adenylates in trout and turtle myocardium. The results indicate that species differences in performance of the metabolically challenged myocardium depend on energy-degrading processes, e.g., myosin-ATPase activity, phosphate release, creatine kinase activity, and efflux/degradation of ADP and AMP, and that glycolysis offers protection due to its cytoplasmic localization.
Airway and respiratory complications in children undergoing cleft lip and palate repair.

OBJECTIVES Anatomical abnormalities associated with cleft lip and palate increase the risk of airway complications. The aim of this study was to determine the incidence of intra-operative airway and respiratory complications during cleft lip and palate repair and identify risk factors. DESIGN Observational study in which fifty consecutive patients undergoing cleft lip or/ and palate repair (CL, CP, CLP) were prospectively studied in a teaching hospital in Nigeria. Anaesthesia was achieved by the inhalational or intravenous route. Tracheal intubation was performed under deep inhalational anaesthesia or muscle relaxation. All patients were ventilated. Demographic data, airway and respiratory complications were documented. RESULTS The mean age of the patients was 26.62± 4.71(SEM) months (median 11.50). Nineteen airway complications occurred in 16 patients (incidence - 38%) as failed and difficult intubation (2% respectively) which only occurred in CP surgeries, Tube disconnection (6%), Tube compression (2%), Accidental extubation (2%) and Desaturation (14%). Laryngeal spasm (6%) and Bronchospasm (4%) occurred in surgeries for CP repair only. Some patients had more than one complication. Complications occurred in 38.4% of patients having CP repair, 15.8% having CL repair and 50% having CLP repair (p=0.185). This was not influenced by weight nor age group (p = 0.076 and 0.400 respectively). CONCLUSION Cleft repair had a high incidence of airway/ respiratory complications. More complications occurred with CP surgery. There is a need to ensure adequately skilled personnel and appropriate monitoring to minimise morbidity.
A Dual-Band Rectenna Using Broadband Yagi Antenna Array for Ambient RF Power Harvesting

This letter presents a dual-band rectenna that can harvest ambient RF power of GSM-1800 and UMTS-2100 bands efficiently. The novel rectenna is based on a broadband 1 × 4 quasi-Yagi antenna array with bandwidth from 1.8 to 2.2 GHz and high gains of 10.9 and 13.3 dBi at 1.85 and 2.15 GHz, respectively. Also, a dual-band rectifier that can sufficiently enhance the RF-to-dc power conversion efficiency (PCE) at ambient RF power level is designed for the rectenna. Measurement results show that a PCE of 40% and an output dc voltage of 224 mV have been achieved over a 5-k Ω resistor when the dual-tone input power density is 455 μW/m 2. Additionally, output dc voltage varying between 300-400 mV can be obtained by collecting the relatively low ambient RF power.
An SZ temperature decrement–X‐ray luminosity relation for galaxy clusters

We present the observed relation between ΔTSZ, the cosmic microwave background (CMB) temperature decrement due to the Sunyaev–Zeldovich (SZ) effect, and L, the X-ray luminosity of galaxy clusters. We discuss this relation in terms of the cluster properties, and show that the slope of the observed ΔTSZ–L relation is in agreement with both the L–Te relation based on numerical simulations and X-ray emission observations, and the Mgas–L relation based on observation. The slope of the ΔTSZ–L relation is also consistent with the Mtot–L relation, where Mtot is the cluster total mass based on gravitational lensing observations. This agreement may be taken to imply a constant gas mass fraction within galaxy clusters, however, there are large uncertainties, dominated by observational errors, associated with these relations. Using the ΔTSZ–L relation and the cluster X-ray luminosity function, we evaluate the local cluster contribution to arcmin-scale cosmic microwave background anisotropies. The Compton distortion y-parameter produced by galaxy clusters through the SZ effect is roughly two orders of magnitude lower than the current upper limit based on FIRAS observations.
Hybrid Models Using Unsupervised Clustering for Prediction of Customer Churn

Churn management is one of the key issues handled by mobile telecommunication operators. Data mining techniques can help in the prediction of churn behavior of customers. Various supervised learning techniques have been used to study customer churn. However, research on the use of unsupervised learning techniques for prediction of churn is limited. In this article, we use two-stage hybrid models consisting of unsupervised clustering techniques and decision trees with boosting on two different data sets and evaluate the models in terms of top decile lift. We examine two different approaches for hybridization of the models for utilizing the results of clustering based on various attributes related to services usage and revenue contribution of customers. The results indicate that the use of clustering led to improved top decile lift for the hybrid models compared with the benchmark case when no clustering is used. It is also shown that using cluster labels as inputs to the decision trees is a preferred method of hybridization. Out of the five unsupervised clustering techniques used, none is found to dominate others. But interesting attributes and rules that can help marketing experts identify churners from the data are obtained from the best hybrid models.
Learning mixtures of structured distributions over discrete domains

Let $\mathfrak{C}$ be a class of probability distributions over the discrete domain $[n] = \{1,. ,n\}. $ We show that if $\mathfrak{C}$ satisfies a rather general condition -- essentially, that each distribution in $\mathfrak{C}$ can be well-approximated by a variable-width histogram with few bins -- then there is a highly efficient (both in terms of running time and sample complexity) algorithm that can learn any mixture of $k$ unknown distributions from $\mathfrak{C}. $ We analyze several natural types of distributions over $[n]$, including log-concave, monotone hazard rate and unimodal distributions, and show that they have the required structural property of being well-approximated by a histogram with few bins. Applying our general algorithm, we obtain near-optimally efficient algorithms for all these mixture learning problems.
Experimental murine paracoccidioidomycosis: relationship among the dissemination of the infection, humoral and cellular immune responses

The dissemination of Paracoccidioides brasiliensis cells to the heart, omentum/pancreas, spleen, liver and lungs, assessed by colony forming unit (CFU) counts, the levels of specific antibodies to this fungal agent (by ELISA), and the specific DTH reaction were studied in susceptible (B10.A) and resistant (A/Sn) mice. The animals were infected intraperitoneally with P. brasiliensis yeast cells and were evaluated 2, 4, 12 and 16 weeks later. The mosl remarkable differences between the two mouse strains were observed 16 weeks after infection, when B10.A mice displayed high numbers ofCFU in all examined organs, except the heart, high antibody titres, and depressed DTH response. At this point. A/Sn mice presented low or absent CFU in all organs, low antibody litres and expressive DTH response. The CFU counts were shown to be a reliable parameter to discriminate susceptible from resistant animals. The fungal load in the most affected organs correlated wilh the antibody litres and was inversely correlated with the intensity of the DTH reaction. The patterns of immune response in this model mimic human paracoccidioidomycosis, in which high specific antibody levels and depressed DTH reactions are found in multifocal and severe forms of the disease.
Convergence Time for the Linkage Learning Genetic Algorithm

This paper identifies the sequential behavior of the linkage learning genetic algorithm, introduces the tightness time model for a single building block, and develops the connection between the sequential behavior and the tightness time model. By integrating the first-building-block model based on the sequential behavior, the tightness time model, and the connection between these two models, a convergence time model is constructed and empirically verified. The proposed convergence time model explains the exponentially growing time required by the linkage learning genetic algorithm when solving uniformly scaled problems.
Metastatic renal cell carcinoma masquerading as a primary gastric carcinoma associated with synchronous early gastric carcinoma.

families in which the c.1032C! A (p.Thr328Lys) were identified suggesting a common founder. They estimated the date of most recent common ancestor (MRCA) to be in the 11th century (95%CI, AD 720–1510). Unfortunately, we were unable to determine the phased haplotypes in our subject without further pedigree samples. However, due to her Caucasian ancestry (mother 50% English, 50% Scottish; father defined as Australian Caucasian) and the significant time period since MRCA, common descent is possible. The prevalence of type III HAE is unknown. In the initial paper to describe HAE type III, an examination of persons with recurrent lone angioedema (angioedema without urticaria) with upper airway or gastrointestinal symptoms, found approximately 20% of affected pedigrees had only women with normal C1 inhibitor concentrations and function. The availability of a simple molecular diagnostic test will now hopefully enable diagnosis in women suffering from lone angioedema and collection of type III HAE prevalence data.
Stem cell therapy in ischemic stroke

Objective: Cell-based therapies are being investigated as an adjunct to IV thrombolysis or mechanical thrombectomy in ischemic stroke. This review summarizes the potential applications as well as challenges of intravascular cell delivery in ischemic stroke. Method: We conducted a search of Medline as well as the clinicaltrials.gov Web site for all ongoing human clinical studies using stem cells in ischemic stroke patients. Result: The pros and cons of the various donor cell types and routes of cell delivery, including intravascular delivery, in ischemic stroke are discussed. In addition, the potential challenges in translation from bench to bedside, the optimal techniques for intravascular cell delivery, and an updated comprehensive list of ongoing clinical trials in ischemic stroke are highlighted. Conclusions: Stem cells have shown a promising role in ischemic stroke, in preclinical studies as well as initial pilot studies. Further studies are needed to assess intravascular cell therapy as a potential adjunct to thrombolysis or mechanical thrombectomy in ischemic stroke.
Radiation Effect on the Entropy Generation of Carbon Nanotubes Water-Based Nanofluid Flow by a Moving Wedge

This paper deals with the effect of thermal radiation on the entropy generation of carbon nanotubes water-based nanofluid flow past a moving wedge. Two different types of nanoparticles, namely single wall carbon nanotube (SWCNT) and multi wall carbon nanotube (MWCNT) are considered. Governing equations of the problem are transformed by similarity method into a set of nonlinear ordinary differential equations (ODEs) and solved analytically using optimal homotopy asymptotic method (OHAM). Expression of entropy generation number is obtained in dimensionless form. Further the analytical results of temperature, Nusselt number, skin friction, entropy generation number and Bejan number are discussed and analyzed through graphs. These results show that the entropy generation number has a minimal value for larger radiation parameter and the negative values of velocity ratio parameter λ, while nanoparticles have influence to increase the entropy production.