Miracle-dz/UniFAR-FTUs huggingface dataset:
A Tunable Hybrid SSHI Strategy for Piezoelectric Energy Harvesting with Enhanced Off-resonance Performances

In this paper, we propose a new electrical strategy for piezoelectric energy harvesting: the Tunable Hybrid SSHI. This strategy, inspired from the hybrid SSHI of Lallart et al., combines features of the parallel SSHI with a modified series SSHI. We prove analytically and numerically that with a fine combination of those two strategies, the harvesting bandwidth can be sensibly increased. Associated with a high coupling harvester, it is shown that the harvesting bandwidth is 3 times larger compared to the series and parallel SSHI.
Examination of ODL In-service Trainee Teachers’ Assessment Literacy: Implication for Teacher Education in the Context of EFA and MDG

The Education for All (EFA) movement is a global commitment to provide quality basic education for all children, youth and adults. Hence, present generation of in-service teachers need to be versatile in assessment literacy to enhance quality education in line with the MDG (2 & 3) and EFA goals (3 & 6). This study examined the assessment literacy of Open and Distance Learning National Teachers’ Institute students in Nigeria Certificate in Education by Distance Learning System programme in Abia State. Girls Technical College Ogbor Hill Aba study centre was randomly drawn from eight study centres in Abia state of Nigeria for a case study. A sample of thirty five (35) students was further drawn from the population consisting of one hundred and thirty two (132) students in that study centre. The instrument for data collection from these 35 participants consisted of questionnaire adopted from Volante & Fazio (2007) requiring the participants to self-describe their level of assessment literacy. This was done because assessment literacy has implication for the production of right caliber of learners with adequate skills in line with the MDG and EFA goals. Five study questions and three hypotheses guided the study. The data collected were analyzed with the use of descriptive statistics and analysis of variance. The findings showed that the participants’ levels of self-efficacy remained relatively low. It also revealed their areas of strengths and weaknesses in assessment literacy needed for development of right skills in learners. Cogent recommendations were made for improvement in the in-service trainee teachers’ professional development programmes to circumvent production of learners who lack the basic skills required to evade relapse into illiteracy or inability to perform a job at the end of their education.
Effect of eigenvalue spread in noise cancellation of two sensory systems using adaptive algorithms

Abstract The least mean square (LMS) algorithm is the basic generic search algorithm and simple to implement, also it has stable and has robust performance. Therefore, numerous adaptive algorithms have been derived from LMS. But maximum research is limited to convergence rate maximization in the algorithms of LMS family. Eigenvalue spread changes the convergence of any adaptive algorithms as it also affects the selection of step size. When spectral power of input signal is non-stationary, the residual error is more in all the cases. The performance analysis of adaptive algorithms for eigenvalue spread is still ignored by researchers. In this paper the effect of eigenvalue spread on different popular algorithm of LMS family has been studied. For this, many noises of different eigenvalue spread were mixed with a voice signal i.e. pronunciation of the word “This activity is truly unproductive” to make primary signal. Then simulation has done to analyze the effect of eigenvalue spread in MATLAB for different algorithms. Eigenvalue spread is calculated for all contaminated primary signals then steady state error or residual errors have also been calculated for LMS, VSSLMS, and QLMS. Their performance is compared by changing the surrounding noisy environment as car noise, water raining noise, thonder noise, and aeroplane noise. To analyses the effect of eigenvalue on adaptive algorithms, a table is prepared on the basis of residual error and eigenvalue spread for chosen algorithms. This analysis will help to select the algorithm for devices, which need to work in changing surrounding environment.
Understanding and Controlling Cortical Activity for Superior Performance

Previous studies have revealed that several cortical signatures are associated with superior motor performance in sports, particularly precision sports. This review examined the strength of the evidence from these studies so that a clear conclusion could be drawn and a concrete direction for future efforts revealed. A total of 26 articles assessing the relationship between cortical activity and precision motor performance were extracted from databases. This review concluded that among the electroencephalographic components examined, only sensorimotor rhythm demonstrated a consistent and causal relationship with superior precision motor performance, whereas findings related to the left temporal alpha and frontal theta and alpha rhythms were not consistent and lacked the evidence needed to draw a causal inference for a role in superior precision motor performance. Future studies would benefit from methodological improvements including larger sample sizes, narrower skill-gap comparisons, evidenced-based and refined neurofeedback-training protocols, and consideration of ecological validity.
Quantum dynamics simulations: combining path integral nuclear dynamics and real-time TDDFT

We report a practical computational scheme for quantum electron-nuclear dynamic simulations, applicable to both finite (e.g. ozone) and periodic systems (e.g. graphene), using a combination of real-time time dependent density functional theory (rt-TDDFT) and ring polymer molecular dynamics. This scheme could deal with quantum effects of nuclei beyond Ehrenfest dynamics in TDDFT simulations. We find that when nuclear quantum effects (NQEs) are taken into account, the atomic structure of ozone splits into normal states and cyclic states upon photoexcitation. NQEs broaden the electronic density of states and induce strong orbital couplings, leading to new nuclear trajectories and carrier dynamics different from classical simulations. We also observe a charge carrier redistribution accelerated by the quantum motions of carbon atoms in graphene, yielding an exponential decay with fast relaxation time. These developments and practices represent an advance in studying full quantum dynamics of electrons and nuclei from first-principles, towards a complete and predictive understanding of quantum interactions and dynamics in large molecules and complex materials at the microscopic level.
Insights into the Cenozoic geology of North Beirut (harbour area): biostratigraphy, sedimentology and structural history

The biostratigraphy and sedimentology of the outcrops and bedrock recently exposed in archaeological excavations around the harbour area of Beirut (~5 km²) unlock the geological and structural history of that area, which in turn are key to understanding the hydrocarbon and hydrogeological potential of the region. A key location (Site 2) of a studied outcrop section and newly uncovered bedrock is on the northern foothill cliff of East Beirut (Achrafieh). The outcrop section of carbonates is of Eocene beds overlain by conformable Miocene beds. The excavation of the slope bordering the outcrop uncovered a bedrock section of an early Pliocene shoreline of carbonate/siliciclastic sands at its base and topped by a beach-rock structure. The early Pliocene age of the shoreline section is dated by an assemblage of planktonic foraminifera that includes Sphaeroidinellopsis subdehiscens, Sphaeroidinella dehiscens and Orbulina universa. The Eocene carbonates of Site 2 extend the coverage of the previously reported Eocene outcrops in the harbour area. They form a parasequence of thin-bedded, chalky white limestones that includes the youngest fossil fish deposits in Lebanon (Bregmaceros filamentosus). The deposits are dated as early Priabonian by their association with the planktonic foraminiferal assemblage of Porticulasphaera tropicalis, Globigerinatheka barri, Dentoglobigerina venezuelana, Globigerina praebulloides, Turborotalia centralis and Borelis sp. The Middle Miocene carbonates that conformably overlie the early Priabonian, parasequence include a planktonic foraminiferal assemblage of Globigerinoides trilobus, Orbulina universa and Borelis melo. Elsewhere, in the harbour area, the preserved Eocene limestones are also overlain by conformable Miocene carbonate parasequences of Langhian–Serravallian age. Younger argillaceous limestone beds of the Mio/Pliocene age occur in the eastern central part of the harbour area and enclose an assemblage of Truncorotalia crassaformis, Globorotalia inflata and Orbulina universa. The three markers of old and recently raised structural blocks in the harbour area are a Lutetian/Bartonian marine terrace in the south west corner, a lower Pliocene shoreline carbonate section in the north east side and a Holocene raised beach of marine conglomerates in the north east corner of the area. The locations of these paleo-shorelines, less than 2 km apart, indicate a progressive platform narrowing of North Beirut since the Paleogene. This study underpins the geological complexity of the region and contributes to understanding the underlying geology, which will be needed for future regional archaeological, hydrocarbon and hydrogeological exploration.
The Measurements of Maxillary Alveolar Bone Density at 13 - 15 Years Age by Using Spiral Computerized Tomography

Bone density is a major factor that affect mini implant primarily stability; no Iraqi studies have evaluated bone density related to mini-implant placement for orthodontic anchorage at age 13 -15 years. The present research aims to evaluate gender, side and site differences in the bone density at various orthodontic implant sites for the maxillary alveolar bone. Materials and methods: Twenty nine individuals (16 males and 13 females) had subjected to clinical examination, then 64-multislice computed tomography scan data were evaluated and bone density was measured in Hounsfield unit at 21 points (9 points for each side and 3 points between the right and left central incisors) . Results: The results obtained showed that there are no significant differences in bone density between males and females and between the left and right sides were found. There was no significant differences in bone density between the maxillary buccal cortical bone and the palatal cortical bone were generally except that at lateral incisor and canine point where the palatal side had higher bone density than buccal side. The mean bone density of the cancellous bone in the anterior part was higher than that in the posterior of the maxilla. Conclusions: When orthodontic, mini implant are indicated, no gender and side difference affect the success rate regarding bone density. Keyword: Bone density, mini-implant, computerized tomography. (J Bagh Coll Dentistry 2016; 28(2):103-107).
Diseño de corpus literario para análisis cuantitativos

Este artículo profundiza en los diseños de corpus literarios, planteando y siguiendo cada parte del proceso completo a realizar. A diferencia de la mayoría de estudios de divulgación de las Humanidades Digitales, que suelen tener por objeto el proceso de análisis de datos o los resultados del mismo, este artículo focaliza el estadio previo, el de preparación de datos para la confección del corpus, tarea que defiende como central. Este trabajo resulta una perfecta guía metodológica para el investigador interesado en sacar adelante un proyecto basado en análisis cuantitativos en tanto que cubre todos los estadios del proceso, orienta las explicaciones hacia casos prácticos, y ha sido confeccionado por un investigador formado y con experiencia en el campo, autor él mismo de corpus de textos en español
Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach

Bayesian network has gained increasing popularity among the data scientists and research communities, because of its inherent capability of capturing probabilistic information and reasoning with uncertain knowledge. However, the discrete Bayesian learning, with continuous and categorical variables, often shows poor performance because of <italic>parameter value uncertainty</italic>, arising due to <italic>strict boundary value</italic> of the discretized data and <italic>lack of knowledge on domain semantics</italic>. In this work, we propose <italic>semFBnet</italic>, a variant of Bayesian network with incorporated <italic>fuzziness</italic> and <italic>semantic knowledge</italic>, to reduce the uncertainty during parameter learning. The performance of <italic>semFBnet</italic> has been validated with prediction of daily meteorological conditions in two states of India, namely West Bengal and Delhi, for the years 2015 and 2016, respectively. The study of <italic>Dawid-Sebastiani score</italic> and the <italic>confidence interval analysis</italic>, in comparison with the state-of-the-art and benchmark prediction techniques, demonstrate the effectiveness of the proposed <italic>semFBnet</italic> in reducing parameter value uncertainty.
Nanodrug Carrier Based on Poly(Ursolic Acid) with Self‐Anticancer Activity against Colorectal Cancer

As the second most common cause of cancer‐related death worldwide, colorectal cancer (CRC) requires novel therapy strategies. Biodegradable polymers are used as drug carriers for treating CRC and other cancers. However, one of the limitations for the polymeric drug carriers is that they do not directly involve the treating procedure. Herein, to develop a polymeric drug delivery system with additional therapeutic effect from that of the polymer itself, poly(ursolic acid) (PUA) is, for the first time, simply synthesized via polycondensation of ursolic acid (UA), a bioactive ingredient widely distributed in herbal medicine. PUA can self‐assemble into nanoparticles (PUA‐NPs) with a diameter of ≈122 nm and an effective load of ≈10.1%, and deliver drugs, such as paclitaxel (PUA‐NPs@PTX). In vitro studies show that PUA‐NPs@PTX have strong cytotoxicity against colorectal cancer CT26 cells, while in vivo results indicate that these NPs have a prolonged blood circulation time, enhanced tumor accumulation, and significantly improved antitumor efficacy in CT26 tumor‐bearing mice. Furthermore, both in vitro and in vivo results confirm that the PUA‐NPs themselves have therapeutic effects on CT26 cells, without causing obvious toxicity to main organs, such as bledding or necrosis. In summary, such a therapeutic polymer platform provides a new therapeutic strategy for treating cancer.
THE CONCEPT OF SMUGGLING AND SOCIAL NECESSITY OF CRIMINAL LIABILITY FOR SMUGGLING

Àííîòàöèÿ: Óøáó èëìèé ìà3îëàäà êîíòðîáàíäà òóøóí÷àñè âà êîíòðîáàíäà ó÷óí æèíîèé æàâîáãàðëèêíèíã èæòèìîèé çàðóðàòèãà äîèð ìàñàëàëàð áà ̧í ýòèëãàí. Øóíèíãäåê òàä3è3îò íàòèæàëàðè òàμëèë ýòèëèá, òåãèøëè òàêëèô âà òàâñèÿëàð áåðèëãàí. Êàëèò ñ ́çëàðè: êîíòðàáàíäà, áîæõîíà, ÷åãàðà, îëèá ́òèø, ́òêàçèø, æèíîÿò, ðàäèîàêòèâ ìàòåðèàëëàð, ïîðòëàòèø 3óðèëìàëàðè, 3óðîë-ÿðî2, äåêëàðàöèÿ. http://dx.doi. org/10.26739/2181-9130-2019-9-12
Chronic renal disease and pregnancy A challenge in clinical care and obstetric outcome

Pregnancy is a physiological state in which multiple adaptations occur in the cardiovascular, immune and renal systems in order to meet metabolic demand and protect the fetus. Kidney disease can be manifested or discovered incidentally during pregnancy and can be seen from three clinical scenarios: the development of acute kidney injury, the diagnosis of chronic kidney disease (prior undiagnosed nephropathy) and the known antecedent (underlying nephropathy) of chronic kidney disease preceding pregnancy. Whatever the scenario, the presence of chronic kidney disease darkens the fetal prognosis, increases the risk of intrauterine growth retardation, premature delivery, stillbirth and accelerates the loss of renal function of the pregnant woman so it constitutes a challenge in clinical care. For this reason the early recognition and initiation of therapy is essential to impact on maternal and fetal outcome. Although this association has been described for several years and the obstetric outcome has improved in the past two decades, it remains an entity with high morbidity and mortality for mother and child. In this work, eight cases of chronic kidney disease and pregnancy, clinical presentation and obstetric outcome are described. (Acta Med Colomb 2015; 40: 331-337).
Discuss How the Guanxi-Based Networking is Related to Chinese Culture and Business

Over the last few centuries, Guanxi regarded as the lifeblood of business relationships and management in China has been widespread in the Chinese business world, which leads to local and foreign firms ineluctably confronting guanxi dynamics. The paper will discuss how the guanxi-based networking is related to Chinese culture and business.
ELECTROSTATIC SPRAYING EFFECT ON SPRAY DEPOSITION AND POWDERY MILDEW CONTROL IN SOYBEAN

Electrostatic spray can bring benefits to the pesticide application such as the reduction of application rate and the increase of deposits on targets. Therefore, this study aimed to evaluate the effect of electrostatic spraying using lower application rates and different adjuvants on soybean spray deposition and chemical control of powdery mildew ( Microsphaera diffusa Cooke & Peck). The field experiment was conducted in duplicate. A randomized complete block design with four replications in a 2 × 2 × 2 + 1 factorial scheme was used. The factors were two application rates, with and without droplet electrification, two spray solution compositions, and one additional treatment. Deposition on upper and lower leaves, spray loss to the soil, and powdery mildew control effectiveness were evaluated. The electrical conductivity of the spray solution and the charge/mass ratio induced in droplets were also evaluated. All treatments reduced the soybean powdery mildew severity. Electrostatic spraying responded positively to an increase in the electrical conductivity of the spray solution regarding the charge/mass ratio, but it did not increase spray deposition on the lower third of the canopy and did not influence spray loss to the soil, which was higher as the application rate increased.
Root-Cause Identification of Single Line-to-Ground Fault in Urban Small Current Grounding Systems Based on Correlation Dimension and Average Resistance

Root-cause identification of faults in a distribution network is conducive to fault inspection as well as reducing injuries and damage. In this article, a novel method based on correlation dimension and average resistance is proposed to identify the root cause of permanent single line-to-ground fault in urban small current grounding systems. First, the reliability of the grounding fault and whether the fault occurred on a dry or wet surface can be identified by the correlation dimension. Then, the average resistance of the fault is used to classify the specific root cause, including wet land, dry land, wet concrete, dry concrete, and water. Experimental results show that this method can realize the classification of root causes and is robust to sampling rate, harmonics, and line impedance.
Failure to Communicate: Medication Guide or Memory?

Four hundred individuals in the United States were surveyed via the Internet to determine how previous experience with a medication guide (MG) for nonsteroidal anti-inflammatory drugs (NSAIDs) influenced knowledge. Half of the respondents had received a prescription for an NSAID in the previous 6 months (during which time an MG was required). Independently, half were shown the NSAID MG and allowed to read or reread it prior to taking a knowledge test. Those who read the MG prior to taking the knowledge test correctly answered about two-thirds of the questions regardless of previous use. Those who had used the medicine, but did not review the MG prior to the test, correctly answered about half of the questions. Those that neither used the medicine nor reviewed the MG correctly answered about one-fourth of the questions. The results indicate that there was an independent contribution of both experience using the medicine and MG readership.
Traveling waves for nonlocal Lotka-Volterra competition systems

In this paper, we study the traveling wave solutions of a Lotka-Volterra diffusion competition system with nonlocal terms. We prove that there exists traveling wave solutions of the system connecting equilibrium \begin{document}$ (0, 0) $\end{document} to some unknown positive steady state for wave speed \begin{document}$ c>c^* = \max\left\{2, 2\sqrt{dr}\right\} $\end{document} and there is no such traveling wave solutions for \begin{document}$ c , where \begin{document}$ d $\end{document} and \begin{document}$ r $\end{document} respectively corresponds to the diffusion coefficients and intrinsic rate of an competition species. Furthermore, we also demonstrate the unknown steady state just is the positive equilibrium of the system when the nonlocal delays only appears in the interspecific competition term, which implies that the nonlocal delay appearing in the interspecific competition terms does not affect the existence of traveling wave solutions. Finally, for a specific kernel function, some numerical simulations are given to show that the traveling wave solutions may connect the zero equilibrium to a periodic steady state.
ANALISIS REAKSI PASAR MODAL BAGI PERUSAHAAN DALAM INDEKS IDX30 TERHADAP KEMENANGAN DONALD TRUMP PADA PEMILIHAN PRESIDEN AMERIKA SERIKAT

Penelitian ini bertujuan untuk menganalisis reaksi pasar bagi perusahaan yang terdaftar dalam Indeks IDX30 terhadap kemenangan Donald Trump pada pemilihan umum Presiden Amerika Serikat. Dalam hal ini, reaksi pasar diukur dengan membandingkan nilai rata-rata harga, abnormal return, dan volume perdagangan saham pada periode sebelum dan sesudah peristiwa. Dengan menggunakan sampel berupa 30 perusahaan yang terdaftar di Indeks IDX30 selama periode Agustus 2016 – Januari 2017, hasil penelitian menunjukkan bahwa harga saham dan abnormal return pada periode sesudah kemenangan Donald Trump memiliki nilai yang lebih kecil secara signifikan daripada sebelum peristiwa tersebut, sementara volume perdagangan saham pada periode sesudah kemenangan Donald Trump justru tidak tidak berbeda secara signifikan daripada periode sebelumnya.