Miracle-dz/UniFAR-FTUs huggingface dataset:
Power Supply Issues in Battery Reliant Wireless Sensor Networks: A Review

Wireless sensor networks (WSNs) have enabled numerous embedded wireless applications in different areas, such as military/battle field, environmental monitoring, and intelligent building systems. They consist of a large number of nodes that need to operate normally for months to years to complete designated tasks. Due to the small dimension of a sensor node, the power supply attached to the sensor node has to be very limited in size. Thus energy conservation becomes a challenging issue in WSN design. Meanwhile, it is a challenge for researchers and developers to obtain long operating hours without sacrificing the system performance. A variety of mathematical models have been studied to serve as analytical tools in quantifying battery discharge characteristics. However, batteries, as the primary power supply, still fail earlier in some applications than their projected working time. To further analyze the factors that affect battery discharge, and understand the characteristics of WSN power supply, this paper surveys both physical and network communication parameters that can affect battery lifetime and cause the difference between the simulation and application results. Furthermore, it offers readers a glimpse of applying new technology-driven WSNs with energy harvesting techniques, such as photovoltaics or piezoelectric generators.
Multiple bad data detection in power system state estimation using linear programming

The authors describe a method of identifying multiple bad measurements in power-system state estimators using linear programming. Linear programming automatically rejects bad measurements and provides an excellent set of bus voltages and angles which can be used as initial values in a weighted least-squares algorithm if filtering of Gaussian noise is desired. The performance of the linear program in the presence of multiple bad measurements is shown to be superior to the weighted-least-squares technique. The efficiency of the method is independent of the number of bad measurements and the magnitude of the error. <<ETX>>
Relationship Between Infant and Mother Circadian Rest-Activity Rhythm Pre- and Postpartum, in Comparison to an Infant With Free-Running Rhythm

Some infants show a free-running rhythm in their rest-activity. We do not know why, nor do we know exactly what the entrainment factors are for the development of the normal 24-h rest-activity rhythm. Actigraphic recordings on 10 primiparae during late pregnancy and these mothers and their infants during the 2nd, 6th, and 12th wks after birth were made over 3–5 continuous days to investigate maternal and infant entrainment. One infant showed a free-running rest-activity circadian rhythm. In late pregnancy, the period in the autocorrelogram of the mother with the free-running infant was longer than the significant period of the mean autocorrelogram of the mothers with non-free-running infants. The finding of this study indicates the free-running rhythm of infant is not reset by maternal entrainment factors. (Author correspondence: nishihara-kk@igakuken.or.jp)
Pyogenic Granuloma - Non-Surgical Management by Ligation Therapy: A Case Series.

Pyogenic granuloma is a frequently seen tumour-like benign vascular growth of the oral cavity which is thought to be an exuberant tissue response to a local low-grade chronic irritation or minor trauma. Clinically the growth looks pink to red in colour, depending upon the age of the lesion, smooth or lobulated mass that is usually pedunculated. Treatment options include complete surgical excision, electrocautery, cryotherapy, sclerotherapy or laser surgery. The aim of this case series is to present an alternative non-surgical less invasive treatment option which has not been explored in dental literature to the best of our knowledge.
MicroRNA profiling in ocular adnexal lymphoma: a role for MYC and NFKB1 mediated dysregulation of microRNA expression in aggressive disease.

PURPOSE Ocular adnexal lymphoma (i.e., lymphoma with involvement of the orbit, eyelids, conjunctiva, lacrimal gland, and lacrimal sac), although rare, is common among malignant tumors involving the ocular adnexal region. The main subtypes are low-grade extranodal marginal zone lymphoma (EMZL) and aggressive diffuse large B-cell lymphoma (DLBCL). In rare cases, low-grade EMZL are reported to transform to DLBCL. It is unclear, however, which genetic events distinguish low-grade disease from aggressive, potentially fatal disease. METHODS Using LNA-based arrays from Exiqon, we performed global microRNA (miRNA) expression profiling of 18 EMZLs and 25 DLBCLs involving ocular adnexal sites to investigate changes in the miRNA expression in low- versus high-grade disease. Findings were confirmed by real-time quantitative PCR (RTq-PCR). RESULTS Our analysis revealed 43 miRNAs with altered expression profiles in DLBCL compared to EMZL. Seven of the miRNAs down-regulated in DLBCL relative to EMZL showed enrichment for a direct transcriptional repression by the oncoprotein MYC. We also report a possible loss-of-regulation of NFKB1 and its downstream miRNAs. In addition, our analysis identified a group of DLBCLs whose expression profiles resembled that of EMZL. Although transformation of EMZL to DLBCL in the ocular adnexal region is rare, we hypothesize that the intermediate group potentially may derive from transformation of EMZL that was not recognized by histology. CONCLUSIONS We conclude that fundamental differences in miRNA expression exist between ocular adnexal EMZL and DLBCL, mainly due to differences in MYC and NF-ĸB regulatory pathways.
Symbol time offset estimation in coherent OFDM systems

This paper presents a symbol time offset estimator for coherent OFDM systems. This estimator exploits both the redundancy in the cyclic prefix and the pilot symbols used for channel estimation. The estimator is robust against frequency offsets and is suitable for use in dispersive channels. We base the estimator on the ML estimator for the AWGN channel. Simulations of an example system indicate a system performance as close as 0.3 dB to a perfectly synchronized system. Compared to an estimator not using pilots, our estimator's performance could allow a shorter cyclic prefix and thus a more spectrally efficient system.
Modelo de calidad de datos para portales web

Hoy en dia poder contar con la informacion apropiada para tomar decisiones, hacer negocios o, en general, desarrollar un trabajo, se ha convertido en un objetivo estrategico para muchas personas y empresas, Gran parte de esta informacion se encuentra en Internet, por lo cual apliacaciones como los portales Web representan un importante medio para acceder a diversas fuentes de informacion para gran cantidad de personas en todo el mundo. Ademas constituyen un importante medio a traves del cual muchas organizaciones entregan informacion ya sea a un grupo especifico de usuarios o bien a todos quienes lo deseen. Las personas que usan datos de los portales Web necesitan asegurarse que estos tienen la calidad apropiada para el uso que desean darles, en otras palabras, necesitan conocer el nivel de calidad de datos que proporciona un portal de su interes. De igual modo los propietarios de un portal Web, interesados en el exito de este, necesitan controlar que el nivel de calidad de datos de su portal se corresponde con las necesidades y expectativas de sus usuarios para, de esta manera, conseguir fidelizarlos. Hay que destacar que a pesar de que la calidad de datos ha sido un tema de investigacion en diferentes campos, la calidad de los datos en portales Web apenas ha sido abordada. En esta tesis, para suplir esta carencia se ha definido un modelo de calidad de datos para portales Web, denominado PDQM. Debido a la necesidad de los usuarios (consumidores de datos) de conocer la calidad de los datos que pueden obtener de este tipo de aplicaciones, el modelo esta desarrollado desde la perspectiva de los usuarios. Esto siginifica que el modelo permite valorar la calidad de los datos de un portal de manera similar a como lo haria un usuario. Para lograr este objetivo, para la definicion del modelo se ha empleado un enfoque probabilistico mediante el uso de redes bayasianas. La idea es poder representar la subjetividad con la que normalmente los usuarios eval
Activities of daily life recognition using process representation modelling to support intention analysis

Purpose – This paper aims to focus on applying a range of traditional classification- and semantic reasoning-based techniques to recognise activities of daily life (ADLs). ADL recognition plays an important role in tracking functional decline among elderly people who suffer from Alzheimer’s disease. Accurate recognition enables smart environments to support and assist the elderly to lead an independent life for as long as possible. However, the ability to represent the complex structure of an ADL in a flexible manner remains a challenge. Design/methodology/approach – This paper presents an ADL recognition approach, which uses a hierarchical structure for the representation and modelling of the activities, its associated tasks and their relationships. This study describes an approach in constructing ADLs based on a task-specific and intention-oriented plan representation language called Asbru. The proposed method is particularly flexible and adaptable for caregivers to be able to model daily schedules for Alzheimer’s patients. Findings – A proof of concept prototype evaluation has been conducted for the validation of the proposed ADL recognition engine, which has comparable recognition results with existing ADL recognition approaches. Originality/value – The work presented in this paper is novel, as the developed ADL recognition approach takes into account all relationships and dependencies within the modelled ADLs. This is very useful when conducting activity recognition with very limited features.
Mesophyll distribution of 'antioxidant' flavonoid glycosides in Ligustrum vulgare leaves under contrasting sunlight irradiance.

BACKGROUND AND AIMS Flavonoids have the potential to serve as antioxidants in addition to their function of UV screening in photoprotective mechanisms. However, flavonoids have long been reported to accumulate mostly in epidermal cells and surface organs in response to high sunlight. Therefore, how leaf flavonoids actually carry out their antioxidant functions is still a matter of debate. Here, the distribution of flavonoids with effective antioxidant properties, i.e. the orthodihydroxy B-ring-substituted quercetin and luteolin glycosides, was investigated in the mesophyll of Ligustrum vulgare leaves acclimated to contrasting sunlight irradiance. METHODS In the first experiment, plants were grown at 20 % (shade) or 100% (sun) natural sunlight. Plants were exposed to 100 % sunlight irradiance in the presence or absence of UV wavelengths, in a second experiment. Fluorescence microspectroscopy and multispectral fluorescence microimaging were used in both cross sections and intact leaf pieces to visualize orthodihydroxy B-ring-substituted flavonoids at inter- and intracellular levels. Identification and quantification of individual hydroxycinnamates and flavonoid glycosides were performed via HPLC-DAD. KEY RESULTS Quercetin and luteolin derivatives accumulated to a great extent in both the epidermal and mesophyll cells in response to high sunlight. Tissue fluorescence signatures and leaf flavonoid concentrations were strongly related. Monohydroxyflavone glycosides, namely luteolin 4'-O-glucoside and two apigenin 7-O-glycosides were unresponsive to changes in sunlight irradiance. Quercetin and luteolin derivatives accumulated in the vacuoles of mesophyll cells in leaves growing under 100 % natural sunlight in the absence of UV wavelengths. CONCLUSIONS The above findings lead to the hypothesis that flavonoids play a key role in countering light-induced oxidative stress, and not only in avoiding the penetration of short solar wavelengths in the leaf.
Me-Based Chinese Person Name and Location Name Recognition Model

This paper constructs a hybrid model for automatic Chinese person name and location name recognition, which is based on maximum entropy principle. The model consists of a training module and a recognizing module. Firstly, contextual features are extracted from the training corpus. Maximum entropy principle is employed to train the features. Then, the trained features together with a dynamic word list and a simple rule base are used to recognize Chinese person names and location names in the testing corpus. The experimental results are satisfying and have been analyzed.
Achievement Goal Orientations and Intrinsic Motivation in Physical Fitness Testing With Children

This study examined the relationship between dispositional achievement goal orientations and intrinsic motivation following physical fitness testing. Students, aged 11–15 years, completed the Task and Ego Orientation in Sport Questionnaire, participated in the 20-m progressive shuttle run test, and then completed a modified Intrinsic Motivation Inventory (IMI). Using their goal orientations, students were placed into one of four groups: low in both task and ego, high ego/low task, high task/low ego, and high in both task and ego. A MANOVA indicated that for students in the “high” and “low” performance groups, differences in intrinsic motivation between goal orientation groups were found. Perceived success and goal orientations had independent effects on intrinsic motivation for the lower performance group but interacted to influence intrinsic motivation for the higher performance group. It is concluded that children have different motivational reactions to fitness testing, depending on their goal profile,.
Word Embedding based Approaches for Information Retrieval

The interest on using word embedding has expanded in various areas of text processing in recent years following the introduction of the word2vec model by Mikolov et al. (2013) and Pennington et al. (2014). The word embedding models use a large amount of text to create low dimensional representations of words capturing relationships between words without any external supervision. The resultant representation is shown to replicate many linguistic regularities such as, semantic similarity between terms, conceptual composition of terms, laws of analogy of terms. These features can be used for Information Retrieval (IR) where, the retrieval functions primarily depend on statistical co-occurrences. For keyword based retrieval systems, often there is the problem of vocabulary mismatch. For example, given the information need ‘vehicle industry in Germany’, relevant documents might not get retrieved due to the presence of ‘automobile’ in place of ‘vehicle’. Documents with ‘volkswagen’ might not get the suitable importance due to the vocabulary mismatch. Researches has been going on to overcome the problem of vocabulary mismatch problem utilising word embedding. In this paper, some of the approaches that use word embedding for better retrieval is presented. Empirical experiments have shown the positive contribution of the embedding informations in text retrievals. The rest of the paper is organized as follows. In Section 2, a baseline retrieval model, that uses word embedding, is presented. Following that, in Section 3, word embedding based query expansion methods are elaborated. The empirical evidence of superiority of both type of models over the state-of-the-art retrieval models are shown after the presentation of the corresponding models. The paper is concluded with some future directions of studies in Section 4. 2. BASELINE RETRIEVALS
Clinical outcome and bone preservation of single TiUnite™ implants installed with flapless or flap surgery.

BACKGROUND Flapless, free-handed implant surgery offers advantages for patient comfort, but studies on long-term clinical success based on marginal bone loss are scarce. AIM The aim of this study was to compare single implants installed with a flap (F) or flapless (FL) surgery with respect to survival and marginal bone preservation after at least 3 years. MATERIALS AND METHODS Fifty-three TiUnite™ Brånemark implants, installed in 49 patients (27 females; 22 males; mean age 53 years) were examined. Then, 25 F and 28 FL were delayed loaded; bone level from the abutment-implant level was measured on intraoral radiographs. From 44 (21 F, 23 FL), 31 (18F, 13 FL), and 36 (18 F, 18 FL) implants, radiographs were available at baseline and after 1 and 3 years of function. RESULTS The overall survival rate was 100% and the overall mean bone loss after an average of 38 months was 1.35 mm (SD 0.91; range 0-3.7). Both F and FL showed increasing bone loss during the first year with a higher bone loss for FL than for F sites (p < .01). Afterward, no further bone loss occurred and both groups were statistically equal (p > .7). On individual implant level, nearly 80% in both F and FL were considered a success showing bone loss between 1.5 and 1.9 mm. CONCLUSIONS Single implants yield an excellent prognosis with stable bone levels irrespective of the surgical technique, and free-handed flapless surgery is a viable alternative to more extensively planned guided surgery. Proper case selection and clinical experience are considered prerequisites for a predictable treatment outcome.
Atmospheric aerosol backscatter measurements using a tunable coherent CO2 lidar.

An experimental study is underway to determine the range of variability of atmospheric aerosol backscatter over the Pasadena, CA region, using a coherent CO2 lidar at several wavelengths between 9.25 μm and and 10.6 μm. Measurements of vertical profiles of aerosol backscatter have been conducted thus far at the 10P(20) and 9P(20) lines, at 10.6 μm and 9.5 μm, respectively, using a calibration technique which includes measurement of the return signal from a hard target (flame-sprayed aluminum) positioned at a range of 2 km from the lidar. Operation of the lidar at the 9R(22) line, at 9.26 μm, in order to gather comparative aerosol backscatter profile data at 9.26 μm and 10.6 μm, is in progress.
Aging with Cerebral Small Vessel Disease and Dizziness: The Importance of Undiagnosed Peripheral Vestibular Disorders

Recent studies showed a link between cerebral small vessel white matter disease (SVD) and dizziness: patients whose dizziness cannot be explained by vestibular disease show severe SVD and gait abnormalities; however, little is still known about how SVD can cause this symptom. The primary aim of this study is to examine the possible underlying causes of dizziness in neurovascular patients; this is in order to assess whether treatable causes could be routinely disregarded. A secondary aim is to possibly define a central oculomotor pattern induced per se by SVD. This could help the diagnosis of SVD-related dizziness. In this single-blind prospective study, 60 patients referred to a neurovascular clinic because of dizziness and SVD on imaging were divided into an L-SVD and a H-SVD group (low and high SVD burden, respectively), and then blindly examined with vestibulometric tests. In H-SVD group, the percentage of unexplained dizziness reached 82.8%. There was a higher prevalence of peripheral vestibular abnormalities in the L-SVD patient group (51.6%) than in the H-SVD (17.2%; p = 0.012). We found no differences in central oculomotor findings between the two groups. Although oculomotricity does not show any consistent pattern, a severe SVD can directly represent a cause of dizziness. However, a patient with mild SVD is more likely to suffer by a peripheral vestibular disorder. Therefore, given the high incidence of vestibular disease in neurovascular or geriatric clinics, clinicians should be cautious when ascribing dizziness solely to the presence of SVD as easily treatable peripheral vestibular causes may be missed.
Ex situ bioremediation of soil contaminated with crude oil by use of actinomycetes consortia for process bioaugmentation

The potential effects of sawdust, and mixture of cow and sheep dung to biostimulant autochthonous microflora and augmentation for hydrocarbon bioremediation were investigated in test biopile, made of soil polluted with petroleum waste 100kg. The soil was fluffed by 1.5% sawdust, then supplemented with the necessary minerals and watered to provide conditions favoring microorganism growth. industrial aeration was provided in pile by drainage-pip network to simulate bioremediation treatments through a 90- day period. During this period, we monitored total petroleum hydrocarbons and changes in bacterial communities. The (TPHs) had been reduced from 52 to 10.6 g.kg-1. In soil, the dominant microorganism population comprised Gram-positive bacteria from actinomycete group and autochthonous microorganisms which decompose hydrocarbons reached highest level 1.6 x 107 cfu.g-1 at 45 days. Based on these data, we conclude that is ex situ (Biopile) experiment the best strategy, inexpensive, efficient, and environmentally friendly and may thus offer a viable choice for petroleum hydrocarbonscontaminated soil remediation.
Unsupervised Content-Based Identification of Fake News Articles with Tensor Decomposition Ensembles

Social media provide a platform for quick and seamless access to information. However, the propagation of false information, especially during the last year, raises major concerns, especially given the fact that social media are the primary source of information for a large percentage of the population. False information may manipulate people’s beliefs and have real-life consequences. Therefore, one major challenge is to automatically identify false information by categorizing it into different types and notify users about the credibility of different articles shared online. Existing approaches primarily focus on feature generation and selection from various sources, including corpus-related features. However, so far, prior work has not paid considerable attention to the following question: how can we accurately distinguish different categories of false news, solely based on the content? In this paper we work on answering this question. In particular, we propose a tensor modeling of the problem, where we capture latent relations between articles and terms, as well as spatial/contextual relations between terms, towards unlocking the full potential of the content. Furthermore, we propose an ensemble method which judiciously combines and consolidates results form different tensor decompositions into clean, coherent, and high-accuracy groups of articles that belong to different categories of false news. We extensively evaluate our proposed method on real data, for which we have labels, and demonstrate that the proposed algorithm was able to identify all different false news categories within the corpus, with average homogeneity per group of up to 80%.
The age difference at marriage in England and Wales: a century of patterns and trends.

In the last 100 years the mean age difference at marriage in England and Wales has fl uctuated in the range 2–3 years, but without exhibiting any long-run trend. Nevertheless, an age gap of 2–3 years is not typical. A 1-year gap is the most common in recent years and there is a good deal of variation between couples. Marriage partners are closer in age than would be predicted if men and women were matched at random by age. There is little evidence that the age difference is governed by strong social norms. Some explanations for diversity and change in the age difference are discussed.