Miracle-dz/UniFAR-FTUs huggingface dataset:
Attention-based BiLSTM Neural Networks for Sentiment Classification of Short Texts

Sentiment analysis of short texts such as single sentence has been a research hotspot of naturallanguage processing (NLP). There still exists the challenge of effectively handling the problem with limited contextual information and semantic features. Hence, in this paper, an attention-based bidirectional LSTM neural network (AB-BiLSTM) is proposed to solve the problem. The proposed model can attend the qualitative and informative parts and learn semantic features from both directions of a sentence to perform sentiment analysis of short texts. The proposed model mainly contributes to take advantage of the attention mechanism to capture the informative parts of a sentence without any syntactic features and lexicon features. The model is conducted on the Stanford Sentiment Treebank dataset and the Movie Review Data provided by Cornell University for single sentence sentiment analysis of binary classification. The experimental results indicate that the proposal in this study has superior performances over theexisting methods, without taking the attention mechanism into account.
Addressing Low-Resource Scenarios with Character-aware Embeddings

Most modern approaches to computing word embeddings assume the availability of text corpora with billions of words. In this paper, we explore a setup where only corpora with millions of words are available, and many words in any new text are out of vocabulary. This setup is both of practical interests – modeling the situation for specific domains and low-resource languages – and of psycholinguistic interest, since it corresponds much more closely to the actual experiences and challenges of human language learning and use. We compare standard skip-gram word embeddings with character-based embeddings on word relatedness prediction. Skip-grams excel on large corpora, while character-based embeddings do well on small corpora generally and rare and complex words specifically. The models can be combined easily.
A Comparison of Data Streaming Frameworks for Anomaly Detection in Embedded Systems

As IoT devices are integrated into our daily lives, verification and security become of increasing concern. Using anomaly detection methods, we can identify damaged and compromised devices by examining traces of their activity. Collecting these traces with minimal overhead is a core requirement of any anomaly detection system. We evaluate four publish-subscribe broker systems on their viability for trace collection in the context of IoT devices. Our comparison considers ordering and delivery guarantees, client language support, data structure support, intended use case, and maturity. We run each system on original Raspberry Pis and collect network performance statistics, measuring their capability to collected traces in a resourceconstrained embedded systems environment. We conclude with recommendations for designing an anomaly detection system for IoT devices.
Göteborg , Sweden 2013 Miniaturized localized surface plasmon resonance biosensors

Reliable and sensitive biosensors are required for fast and accurate diagnostics. Localized surface plasmon resonances (LSPRs) in noble-metal nanoparticles possess very high refractive index sensitivity close to the metal surface and therefore constitute an attractive biosensing platform. In this thesis, label-free biosensing with LSPR was investigated and demonstrated. The spatial sensing ranges of the particles were determined by thin layer deposition of dielectric materials. A comparison between the classical SPR and LSPR was performed using the same experimental setup. No obvious performance difference between the two sensing techniques was found. The versatility of the LSPR sensing technique was demonstrated by miniaturization of the sensor area, which could be reduced down to ~250 nanoparticles without compromising the short-term noise level. To further miniaturize the LSPR sensor, multiple single nanoparticles were measured using hyperspectral imaging. It was shown that by combining LSPR refractive index sensing and an enzyme linked immunoassay (ELISA), i.e. a horseradish peroxidase catalyzed precipitation, an extremely low surface coverage of enzyme molecules could be detected on single isolated nanoparticles. In a follow up investigation, electron beam lithography (EBL) and hyperspectral imaging were combined to enable simultaneous measurements of up to 700 individual particles. This made it possible to study statistical variations between the sensor particles. The observed variations in the responses from individual particles were interpreted as a result of large variations in sensitivity over the particle surface combined with the size distribution of the precipitate. In a separate study, a photo functionalization strategy compatible with LSPR biosensors was investigated. A biotin moiety was successfully functionalized with UV light on a self-assembled monolayer of photoactive nitroindoline on gold surfaces. Adsorption of streptavidin and streptavidin conjugated HRP to the surface-bound biotin could be monitored by the LSPR sensor. This strategy might be utilized for spatially localized surface functionalization for multiplexed miniaturized LSPR sensors. In summary, despite many experimental problems, the results discussed in this thesis point towards a number of important biosensing applications of plasmonic nanoparticles.
Public Health Significance of Foodborne Helminthiasis: A Systematic Review

Foodborne diseases, caused by biological as well as chemical agents, have an impact in both developing and developed nations. The foodborne diseases of microbial origin are acute where as those caused by chemical toxicants are resulted due to chronic exposure. Amongst various microbial agents of foodborne diseases, parasitic infections have been recently identified as an important public health problems having considerable economic impact in terms of morbidity, loss of productivity, and health care costs. The risk factors for acquiring foodborne helminthic infections are overcrowding, unhygienic living conditions, scarcity of water, contaminated food and water, under nutrition and other poverty-related factors. According to the World Health Organization, there are 32 important foodborne pathogens, of which 10 are helminthes. Several foodborne and waterborne helminthic diseases such as echinococcosis, fascioliasis, taeniasis, cysticercosis, diphyllobothriosis, capillariasis, and ascariasis have shown increased trend in the last decades. Majority of the mentioned parasites have no successful detection and controlling mechanisms. Immunization of food animals against foodborne parasites in certain conditions is very limited because there is generally a lack of vaccines for foodborne parasites. Mass chemotherapy has been found most suitable approach to reduce the impact of helminthic diseases. In addition, education of consumers, food handlers and food producers with respect to personal hygiene is an essential component of food safety. Further, there is a need to strengthen veterinary services in order to reduce the occurrence of such diseases in livestock population. Emphasis should be given to undertake further studies on the diagnostic techniques and epidemiology of foodborne helminthic diseases.
Tannin-based flax fibre reinforced composites for structural applications in vehicles

Innovation is often driven by changes in government policies regulating the industries, especially true in case of the automotive. Except weight savings, the strict EU regulation of 95% recyclable material-made vehicles drives the manufactures and scientists to seek new 'green materials' for structural applications. With handing at two major drawbacks (production cost and safety), ECHOSHELL is supported by EU to develop and optimise structural solutions for superlight electric vehicles by using bio-composites made of high-performance natural fibres and resins, providing enhanced strength and bio-degradability characteristics. Flax reinforced tannin-based composite is selected as one of the candidates and were firstly investigated with different fabric lay-up angles (non-woven flax mat, UD, [0, 90°]4 and [0, +45°, 90°, −45°]2) through authors' work. Some of the obtained results, such as tensile properties and SEM micrographs were shown in this conference paper. The UD flax reinforced composite exhibits the best tensile performance, with tensile strength and modulus of 150 MPa and 9.6 MPa, respectively. It was observed that during tension the oriented-fabric composites showed some delamination process, which are expected to be eliminated through surface treatment (alkali treatment etc.) and nanotechnology, such as the use of nano-fibrils. Failure mechanism of the tested samples were identified through SEM results, indicating that the combination of fibre pull-out, fibre breakage and brittle resins failure mainly contribute to the fracture failure of composites.
A Detailed Investigation on Conventional and MetaHeuristic Optimization Algorithms for Economic Power Scheduling Problems

This paper investigates the conventional and meta-heuristics optimization techniques in detail. In general, every living thing in this universe always looking for the optimized way in all the activities. This makes the inspiration to survey the optimization techniques. Optimization plays a key vital role in the field of all engineering fields. In this paper, the chief and complex power system optimization problem is considered for the investigations. The conventional optimization is an old and accurate model for optimizing the power system problems. The increase in dimensionality surges complexity in solving dynamic and complex problems. For solving these problems, a certain optimization algorithm is necessary. The intelligent Meta-heuristics optimization problems include nature-mimicking techniques that take the motivation in solving these problems. The optimization methods applied to the Economic Power Dispatch, Dynamic Economic Power Dispatch, Optimal Power Flow and Distributed Generation scheduling problems for better solving. In this regard, the studies are made with these optimization techniques for better indulgent. The conducted investigations may evoke some ideas to emerging investigators.
Use of 3 D laser scanning for flatness and volumetric analysis of mortar in facades Uso do escaneamento 3 D laser para análise

Resumo The ongoing process of industrialization of construction sites encourages the use of new building systems that conflict with traditional techniques associated with the risks of incompatibilities and continuance of control fixed ideas with a significant variability. A practical example is the cement mortar for plastering, commonly used as a corrective factor for facade flatness failures caused by the inaccuracy of the plumb line, rudimentary method used in geometric control of concrete structures and facade of mapping during the execution of the work, favoring the accumulation of errors that reflect the mortar thickness, increasing consumption, losses and defects. Alternatively for improvement, this study analyzed through a case study, the innovative application of 3D laser scanning technology consolidated on the facade of a building to map the surface flatness of the façade and, in an unprecedented manner, to quantify the volume of mortar. The results showed the feasibility of the technique as a solution to accurately identify the critical areas of the facade on the peripheral concrete structure and masonry and calculate, based on the volumes, the financial impact associated with mortar overthicknesses in critical areas compared with the reductions thickness after treatment of these areas.
OPTIMAL POWER ALLOCATION TO MINIMIZE SER FOR MULTI-RELAY DECODE-AND-FORWARD COOPERATIVE COMMUNICATION SYSTEMS USING EMA ALGORITHM

In the wireless environment, data transfer suffers from several problems such as the Multipath propagation, fading and limited range of transmitters. To solve these problems, a number of solutions have been developed that one of the newest and most efficient of them is cooperative communication techniques. In cooperative communications, one can gain a benefit from numerous advantages such as compensation or coverage of range limitation effects transmitters, overcoming fading and creating spatial diversity. Since most mobile units are fed by power limited batteries, optimal control and allocation of power in these networks is of particular importance. In this paper, a method for allocating a limited power the amount of which is determined by constraints is proposed in a cooperative system of multiple relay Decode and Forward to minimize the symbol error rate with M-QAM modulation using two methods EMA algorithm and Lagrange multiplier. Simulation results show that the symbol error rate performance is the same with both methods. Since the computational complexity of power allocation through Lagrange method, especially when there are a large number of relays, is high, EMA algorithm is an effective method for power allocation in cooperative networks.
Application of the Lighthill–Ford Theory of Spontaneous Imbalance to Clear-Air Turbulence Forecasting

A new method of clear-air turbulence (CAT) forecasting based on the Lighthill–Ford theory of spontaneous imbalance and emission of inertia–gravity waves has been derived and applied on episodic and seasonal time scales. A scale analysis of this shallow-water theory for midlatitude synoptic-scale flows identifies advection of relative vorticity as the leading-order source term. Examination of leading- and second-order terms elucidates previous, more empirically inspired CAT forecast diagnostics. Application of the Lighthill–Ford theory to the Upper Mississippi and Ohio Valleys CAT outbreak of 9 March 2006 results in good agreement with pilot reports of turbulence. Application of Lighthill–Ford theory to CAT forecasting for the 3 November 2005–26 March 2006 period using 1-h forecasts of the Rapid Update Cycle (RUC) 2 1500 UTC model run leads to superior forecasts compared to the current operational version of the Graphical Turbulence Guidance (GTG1) algorithm, the most skillful operational CAT forecasting method in existence. The results suggest that major improvements in CAT forecasting could result if the methods presented herein become operational.
Clinicopathological Significance of CD105 Expression in Squamous Cell Carcinoma of the Oral Cavity

Background : Angiogenesis is essential for the growth, invasion and metastasis of solid tumors. Research on related factors such as microvessel density can be helpful in predicting a tumor's behavior. CD105 has been introduced as a marker of angiogenesis which stains vessels that are in the proliferating stage. There are some controversies about the relation of microvessel density and clinicopathological features of oral squamous cell carcinoma. The aim of this study is to determine the CD105 expression in oral squamous cell carcinoma and its relation to the clinicopathological features of this disease. Methods : We studied a total of 42 patients who had oral squamous cell carcinoma. The control group consisted of 15 cases with normal oral epithelium. CD105 immunostaining was performed on 4 μm thick tissue sections. Intratumoral and peritumoral microvessel density in ten areas of the sections were recorded by two pathologists. Results : There was a significantly higher CD105 microvessel density value in the tumoral tissues compared with normal tissues. In addition, there was more expression of this marker in the invasive front area. The CD105 microvessel density value had a positive relation with lymph node metastasis. There was an association between tumor size and CD105 microvessel density in the invasive front region. A negative association between tumor grade and CD105 microvessel density value in the intratumoral region was observed. In both areas, CD105 expression was higher in cases with advanced clinical stage. There was no association between this marker and patients' ages or gender. Conclusion : CD105 microvessel density can be a useful factor for predicting the course of oral squamous cell carcinoma.
Hyponatremia-Induced Seizures Secondary to Magnesium Citrate Colon Cleansing Agent

Mild and clinically insignificant electrolyte disturbances are a well-recognised complication of all bowel preparation. Seizure as a complication is very rare. Magnesium citrate, a hyperosmolar substance, is often used for bowel preparation before colonoscopy and colon surgery. We report a 74-years-old female, with no prior history of seizures, who had her first seizure associated with hyponatremia following ingestion of magnesium citrate for bowel preparation. A careful correction of serum sodium must be undertaken. The patient improved her mental status to baseline after intravenous infusion of hypertonic saline. The other causes of hyponatremia and seizure were ruled out. This case highlights the association between magnesium citrate bowel preparations with significant hyponatremia and seizure. The physicians in the ED and general practice need to be aware of this serious complication of magnesium citrate bowel preparation to diagnose them early and initiate timely management.
A method for determination of retention of silver and cerium oxide manufactured nanoparticles in soils

Environmental context.Soils are the environmental compartment likely to be exposed most to manufactured nanoparticles, but there is no method available at present to assess their retention, which determines potential mobility and bioavailability. Optimisation and application of a method to determine retention values for silver (Ag) and cerium oxide (CeO2) manufactured nanoparticles in soils found in many cases that they differed from the partitioning of their bulk and soluble counterparts. Wider application of this method can assist in comparing the risk of many different manufactured nanoparticles with other contaminants in soil systems and model their relationship to soil properties. Abstract.Methods to study the retention of manufactured nanoparticles (MNP) are lacking for soils that are likely to be increasingly exposed to MNP. In this study we present, for the first time, a method to determine retention values (Kr) of Ag and CeO2 MNP, that can be ranked among solid–liquid partitioning (Kd) values of bulk (micrometre-sized) forms, soluble salts and other possible contaminants of soils. After method optimisation, suspensions containing 1.24 mg kg–1 Ag as Ag MNP and 1.30 mg kg–1 Ce as CeO2 MNP were added to five soils. More than 7% of Ag MNP occurred as soluble AgI after 24 h and the range of Kr values of Ag MNP (77–2165 L kg–1) and CeO2 MNP (1.1–2828 L kg–1) contrasted with Kd values of soluble AgI, CeIII and CeIV salts and bulk Ag and CeO2 powders in different soils.
The influence of improvement in pain and function after total knee replacementin patients satisfaction.

Background: Total knee Replacement (TKR) is successful and reliable in relieving pain and improving joint function. Despite substantial advances in primary TKR, a lot of studies suggest only 82% to 89% of primary TKA patients are satisfied. Methods: The data of 80 patients who underwent primary TKR for late-stage osteoarthritis of the knee between 2010 to 2013 were obtained. The Oxford Knee Scores (OKS) were used to assess the patients before the surgery, and we used 6 questions to assess the patient’s satisfaction after the surgery. Results: Among 80 patients 75 patients (93.8%, P-value <0.001) were satisfied and 5 (6.3%) were unsatisfied in general. Regarding pain, the surgery has shown significant effects in decreasing pain for 73 out of the 80 subjects (91.3%, P-value<0.001). Also, there was a significant improvement in the patient ability to participate in leisure activities 49 out of 80 (61.3%, P-value <0.001), when scores were compared before and after the surgery. Conclusion: Patient satisfaction is an important outcome measure and should be assessed in addition to traditional outcome scores post TKR. In the present study, there is a strong correlation between improvement in pain and functional activity and patient satisfaction.
Barometric Tides from ECMWF Operational Analyses

Abstract. The solar diurnal and semidiurnal tidal oscillations in surface pressure are extracted from the operational analysis product of the European Centre for Medium Range Weather Forecasting (ECMWF). For the semidiurnal tide this involves a special temporal interpolation, following Van den Dool et al. (1997). The resulting tides are compared with a "ground truth" tide data set, a compilation of well-determined tide estimates deduced from many long time series of station barometer measurements. These comparisons show that the ECMWF (analysis) tides are significantly more accurate than the tides deduced from two other widely available reanalysis products. Spectral analysis of ECMWF pressure series shows that the tides consist of sharp central peaks with modulating sidelines at integer multiples of 1 cycle/year, superimposed on a broad cusp of stochastic energy. The integrated energy in the cusp dominates that of the side-lines. This complicates the development of a simple empirical model that can characterize the full temporal variability of the tides. Key words. Meteorology and atmospheric dynamics (waves and tides)
Identification and Characterization of Plasma Membrane Intrinsic Protein (PIP) Aquaporin Genes in Petals of Opening Carnation Flowers

Transport of water into cells is mediated by plasma membrane intrinsic protein (PIP) families of aquaporin, which are involved in petal cell expansion during flower opening. In this study, we performed comprehensive characterization of aquaporin family genes and analyzed the expression of PIP genes in petals of opening flowers to examine the role of PIPs in flower opening in the carnation (Dianthus caryophyllus L.). A database search of the genome sequence revealed the existence of 26 aquaporin genes with 8 members of the PIP subfamily in the carnation ‘Francesco’. The expression of all the PIP genes was validated by the existence of expressed sequence tags, and expression analysis by quantitative reverse transcription-PCR showed that DcPIP2;1 and DcPIP1;1 are the two major PIP isoforms expressed in petals of the ‘Pure Red’ carnation. The transcripts of these two genes were also detected abundantly in other floral tissues including the calyx, style, receptacle, and ovary, as well as stems and leaves. The expression of DcPIP2;1 and DcPIP1;1 in petals was maintained at a high level throughout the flower opening process. These data suggest a putative role of these PIPs in petal growth for flower opening.
Space and time dependence of temperature and freezing in evergreen leaves.

Infrared video thermography was used to study space and time dependence of freezing in intact, attached leaves of snow gum (Eucalyptus pauciflora Sieb. ex Spreng.) seedlings. Freezing initiated in the midvein and spread through the apoplast at 10 mm s-1. Freezing of apoplastic water was detected by a local, rapid increase in temperature, and was followed by a slower increase in leaf temperature to the equilibrium freezing temperature as symplastic water moved from cells to extracellular sites of ice formation. The duration of freezing varied with position, leaf thickness and water content. Most of the cellular water in the leaf tip and margins froze quickly, while freezing was slower near the petiole and midvein. Regions that had frozen more rapidly then began to cool more rapidly, producing steep gradients in leaf temperatures and hence also freeze-induced dehydration. Thus, spatial variation in physical properties of leaves could affect the distribution of minimum leaf temperatures, and hence, the distribution and extent of damage due to freeze-induced dehydration. These results are consistent with patterns of freezing damage in autumn when the duration of freezing may be insufficient for the whole leaf to freeze before sunrise, and may explain the general observation of increased leaf water content and thickness with altitude.