Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Achievable Rate of a Class of Acoustic Channels and Practical Power Allocation Strategies for OFDM Systems

In this paper, we consider a class of single-input-multiple-output (SIMO) underwater acoustic communication channels, where each propagation path can be characterized by a complex-valued Gaussian block-fading model. The capacity of such channels is computed and analyzed using three power allocation strategies: waterfilling, uniform, and on-off uniform power allocation across the signal bandwidth. Our analysis considers the effects of imperfect channel estimation, delayed feedback, and pilot overhead, which are found to contribute to about 1 (b/s)/Hz loss from 4 (b/s)/Hz at 20-dB signal-to-noise ratio (SNR) for the experimental channel. We find that given the long feedback delays associated with acoustic channels, all-on uniform power allocation, which does not require feedback and is simple to implement, emerges as a justified practical solution that outperforms the other strategies. Furthermore, when considering acoustic-specific propagation effects, such as frequency-dependent attenuation and colored noise, considerable gain can be achieved by selecting the frequency band according to the attenuation pattern and the available transmit power, e.g., at least 6-dB gain for a 10-km link when compared to transmission over a preselected frequency band of 10-15 kHz.
Integration of modeling and simulation to support changes to ondansetron dosing following a randomized, double‐blind, placebo‐, and active‐controlled thorough QT study

Prolongation of the QT interval has been observed with ondansetron and other members of the 5‐HT3 antagonist class. This is the first thorough QTc study of ondansetron conducted in accordance with ICH E14 guidelines, designed to investigate the effect of single intravenous (IV) doses of ondansetron on cardiac conduction compared to placebo and a positive control, moxifloxacin, in healthy subjects. Statistical analysis of dose‐response showed the maximum mean difference in QTcF, compared to placebo and corrected for baseline (ddQTcF), was less than 10 milliseconds (ms) after an 8 mg IV dose and approximately 20 ms after the 32 mg dose, each infused over 15 minutes. The concentration‐response (Cp‐ddQTcF) model resulted in similar predictions for the 8 and 32 mg and was used to predict the maximum mean ddQTcF (upper 90% CI bound) of 9.2 (11.2) ms for 16 mg IV. As a result, single IV doses of ondansetron greater than 16 mg should no longer be used. Adult cancer patients, under 75 years, may receive up to a maximum initial 15‐minute IV dose of 16 mg, prior to chemotherapy, followed by 2 additional IV or IM doses of 8 mg for the management of chemotherapy‐induced nausea and vomiting (CINV).
Characters Identification in TV Series

This work aims to realize a recognition system for a software engine that will automatically generate a quiz starting from a video content and reinsert it into the video, turning thus any available foreign-language video (such as news or TV series) into a remarkable learning tool. Our system includes a face tracking application which integrates the eigen face method with a temporal tracking approach. The main part of our work is to detect and identify faces from movies and to associate specific quizzes for each recognized character. The proposed approach allows to label the detected faces and maintains face tracking along the video stream. This task is challenging since characters present significant variation in their appearance. Therefore, we employed eigen faces to reconstruct the original image from training models and we developed a new technique based on frames buffering for continuous tracking in unfavorable environment conditions. Many tests were conducted and proved that our system is able to identify multiple characters. The obtained results showed the performance and the effectiveness of the proposed method.
The extraction of two-dimensional MOS transistor doping via inverse modeling

We present a novel method for the determination of the two-dimensional (2D) doping profile of a MOSFET using inverse modeling. In our method, the logarithms of the donors and accepters concentrations are each represented by a tensor product spline (TPS). The TPS coefficients are extracted by nonlinear, least squares optimization from source/drain (S/D) diode and gate capacitance data. After validating the method by applying it to simulated capacitance data, we present the results of using the new technique to extract the 2D profile of a 0.42 /spl mu/m gate length CMOS technology N-channel device. <<ETX>>
Study of ripe Rhizophora mucronata fruit flour as functional food for antidiabetic.

Ripe Rhizophora mucronata has been consumed by mangrove society in Indonesia. The aim of the research was to study the potency of ripe R. mucronata fruit flour, reducing blood glucose level in Alloxan-induced diabetic rats. Ripe R. mucronata fruit flour was administrated to Alloxan (125 mg/kg body weight)-induced diabetic male Wistar rats at different doses (500, 1000, 1500 and 2000 mg/day/head) for 18 days and a positive control group given standard drug for diabetic (glibenclamide 0.09 mg/day/200 g body weight). The result showed blood glucose level of negative control groups increased, whereas positive control group and experimental rats group fed flour of mangrove fruit significantly declined. Ripe of mangrove fruit flour at doses 1000, 1500, 2000 mg/day/head body weight indicated similar effect to glibenclamid in decreasing blood glucose level. The potency of ripe R. mucronata fruit flour as antidiabetic related to the phytochemical compounds of its such as tannins, saponins, flavonoids, and steroid. Ripe R. mucronata fruit flour contained 7.50% soluble dietary fiber and 38.60% insoluble dietary fiber. Thus the ripe R.mucronata fruit flour is a candidate as functional food source especially antidiabetic.
A REVIEW AND DISCUSSION ON KNOWLEDGE SHARING, INNOVATION AND BUSINESS GROUP AFFILIATION

Firmalarin bilgi paylasim etkinlikleri diger firmalar ile birlikte mevcut bilgiden faydalanmayi ve yeni bilginin uretimini kapsamaktadir. Orgutsel ogrenmenin farkli yontemleri olarak belirtilen bu bilgi akislari, bilginin somurulmesini (exploitation) ve kesfedilmesini (exploration) ifade etmektedir. Her iki tur bilgi paylasimi mevcut yeniliklerin iyilestirilmesine ve yeni urun veya sureclerin gelistirilmesine olanak saglamaktadir. Bununla birlikte, cesitli olusumlarda, kesfedici ve somurucu bilgi paylasiminin yenilik uzerindeki etkisi farkli olabilir. Gelismekte olan ekonomilerde bilgi paylasiminin yenilikteki rolunu etkileyebilecek olasi unsurlardan birisi de isletme gruplaridir. Gecmis calismalar, cesitli olusumlari ve duzenleyici faktorleri dikkate alarak, bilgi paylasimi ve yenilik arasindaki iliskiyi incelemis olmalarina ragmen, bu calismalarin azi isletme gruplarinin rolune deginmistir. Bu nedenle bu calisma, ilgili yazin cercevesinde, kesfedici ve somurucu bilgi paylasiminin yenilik uzerindeki etkilerini tartismakta ve isletme grubuna bagliligin bu iliskideki rolunu irdelemektedir. Bu dogrultuda, ileri arastirma gerektiren onermeler sunmaktadir. Onermeler, yenilik yonunden firmalarin kesfedici ve somurucu bilgi paylasimindan faydalandiklarini; ancak, isletme grubuna bagliligin bu iliskide pozitif veya negatif duzenleyici rolu olabilecegini ileri surmektedir.
Individual potential and its relationship with past and future performance

Abstract The need for companies to compete globally for the available talent results in the individuals’ need to develop and compete themselves in the global job market. Thus, an individual’s potential represents the degree to which characteristics of employees may result in enhanced future development of a professional. By means of a longitudinal research, the authors study the effect of previous individual performance on potential and the impact of potential on future performance. A short theoretical-based measure of potential has been developed resulting in four different subdimensions of individual potential.
Prevalencia de disfunción eréctil y factores asociados en pacientes con indicación de rehabilitación cardíaca

Introduccion: La disfuncion erectil (DE) afecta a millones de personas en el mundo. Se caracteriza por dano endotelial vascular y actualmente es considerado un marcador de riesgo de enfermedad cardiovascular. Sin embargo, no es evaluada normalmente por el personal medico y los pacientes se rehusan a discutirlo. El objetivo de este trabajo es determinar la prevalencia de DE y sus factores asociados en pacientes con indicacion de rehabilitacion cardiaca. Material y Metodo: Estudio descriptivo, transversal, incluyo 225 pacientes con indicacion de rehabilitacion cardiaca de 6 paises de Latinoamerica: Chile (CH), Brasil (BR), Peru (PE), Colombia (CO), Argentina (AR) y Paraguay (PY) en el periodo de marzo-agosto 2014. Se obtuvo datos demograficos y se utilizo el cuestiona-rio Indice Internacional de Funcion Erectil (CIIFE) auto administrado. Las variables fueron procedencia, edad, peso, talla, IMC, obesidad, hipertension arterial (HTA), diabetes mellitus (DM), infarto agudo del miocardio (IAM), tabaquismo y uso de farmacos. Resultados: Se evaluo a 225 hombres. De acuerdo al CIIFE, 80,1% tuvo algun tipo de DE; 8,9% severa; 10,7% moderada; 26,2% media a moderada y 35,6% media. Los factores asociados significativamente fueron el pais de procedencia, la DM, la edad y el tabaquismo. Conclusion: La prevalencia de Disfuncion Erectil en pacientes con indicacion de rehabilitacion cardiaca de Chile, Brasil, Peru, Colombia, Argentina y Paraguay fue 80,1% y sus factores asociados son edad, obesidad, IAM, DM, HTA y tabaquismo.
Effects of Blood Pressure Changes on Alzheimer’s Disease

Alzheimer’s disease is the most frequent cause of dementia. Whereas other major causes of death have been decreasing, the number of deaths due to Alzheimer’s disease is rising. As there is no cure for this type of dementia at present, preventive measures have assumed great importance. By analyzing data from available longitudinal studies, the current review presents evidence supporting a link between Alzheimer’s disease and blood pressure changes.
A Psychometric Study of the Chinese Version of the Assessment of Communication and Interaction Skills

This study examined the dependability of the Assessment of Communication and Interaction Skills—Chinese version (ACIS-C) with psychiatric participants in Taiwan. A convenience sample of 101 participants diagnosed with psychiatric illness were recruited from four day-care wards in northern and eastern Taiwan. The results of the Rasch analysis showed that the ACIS-C items coalesced to form a measure of communication/interaction and the 4-point rating scale functioned as intended. The ACIS-C differentiated participants into six levels of communication and interaction skills. The findings support the conclusion that the ACIS-C is a valid and sensitive tool when used with Chinese clients. Moreover the study supports the generalizability of the Model of Human Occupation concept of communication and interaction skills to an Eastern context.
Summarization of emergency news articles driven by relevance feedback

Many articles on the same news are daily published by online newspapers and by various social media. To ease news article exploration sentence-based summarization algorithms aim at automatically generating for each news a summary consisting of the most salient sentences in the original articles. However, since sentence selection is error-prone, the automatically generated summaries are still subject to manual validation by domain experts. If the validation step not only focuses on pruning less relevant content but also on enriching summaries with missing yet relevant sentences this activity may become extremely time consuming. The paper focuses on summarizing news articles by means of an itemset-based technique. To tune summarizer performance a relevance feedback given on sentences is exploited to drive the generation of a new, more targeted summary. The feedback indicates the pertinence of the sentences that are already in the summary. Among the words or the word combinations selected by the summarization model, those occurring in sentences with high feedback score represent concepts that may be deemed as particularly relevant. Therefore, they are exploited to drive the new sentence selection process. The proposed approach was tested on collections of news articles reporting emergency situations. The results show the effectiveness of the proposed approach.
DYNAMICS OF ZONAL FLOWS AND SELF-REGULATING DRIFT-WAVE TURBULENCE

We present a theory of zonal flow drift wave dynamics. Zonal flows are generated by modulational instability of a drift wave spectrum, and are damped by collisions. Drift waves undergo random shearing-induced refraction, resulting in increased mean square radial wavenumber. Drift waves and zonal flows together form a simple dynamical system, which has a single stable fixed point. In this state, the fluctuation intensity and turbulent diffusivity are ultimately proportional to the collisional zonal flow damping. The implications of these results for transport models is discussed.
Measuring dynamic absorptive capacity in national innovation surveys

PurposeThe dynamic capability view reshaped the understanding of how firms can achieve a sustained competitive advantage through innovation. However, studies based on national innovation surveys have not incorporated this vision when measuring absorptive capacity, especially the evolutionary aspects of dynamic capabilities. This study addresses this gap.Design/methodology/approachWe empirically validate a scale using a national innovation survey based on the Oslo Manual standards. Using a five-wave survey, we demonstrate the scale's reliability, convergent and discriminant validity and stable structure across industries and over time.FindingsThis research integrates the dynamic capability literature with absorptive capacity measurement to propose and validate a multi-item and bidimensional scale for national innovation surveys.Originality/valueWe provide a measurement model that captures an evolutionary conceptualization of absorptive capacity as a dynamic capability. Hence, our contribution enhances the quality and validity of studies on absorptive capacity and advances the understanding of how firms develop and deploy absorptive capacity to drive performance.
Multi-Robot Task Allocation with Energetic, Spatial and Temporal Constraints

The Multi-Robot Task Allocation problem is the situation where some tasks and robots are given, then assignments between them must be found in order to optimize a certain measure (e.g. allocate the maximum number of tasks, etc.). We propose a generic framework to address heavily constrained MRTA problems. Some objective functions are proposed and extensively tested on ten datasets, which is our main contribution. Also, two allocation methods – exact and heuristic – are implemented, in order to compare values of adopted evaluation metrics. Performed simulations, obtained results, and comparative study show the effectiveness of the solution, even with a large number of robots and tasks.
Specificity of genetic and environmental risk factors for use and abuse/dependence of cannabis, cocaine, hallucinogens, sedatives, stimulants, and opiates in male twins.

OBJECTIVE Data on use and misuse of six classes of illicit substances by male twin pairs were used to examine whether genetic and shared environmental risk factors for substance use disorders are substance-specific or -nonspecific in their effect. METHOD Lifetime history of use and abuse/dependence of cannabis, cocaine, hallucinogens, sedatives, stimulants, and opiates was assessed at personal interview in both members of 1,196 male-male twin pairs ascertained by the Virginia Twin Registry. Multivariate twin modeling of substance-nonspecific (common) and substance-specific genetic, shared environmental, and unique environmental risk factors was performed by using the program Mx. RESULTS High levels of comorbidity involving the different substance categories were observed for both use and abuse/dependence. One common genetic factor was found to have a strong influence on risk for illicit use and abuse/dependence for all six substance classes. A modest influence of substance-specific genetic factors was seen for use but not for abuse/dependence. Shared environmental factors were more important for use than for abuse/dependence and were mediated entirely through a single common factor. CONCLUSIONS In an adult population-based sample of male twins, both the genetic and the shared environmental effects on risk for the use and misuse of six classes of illicit substances were largely or entirely nonspecific in their effect. Environmental experiences unique to the person largely determine whether predisposed individuals will use or misuse one class of psychoactive substances rather than another.
Impact of shocks in domestic aggregate demand for natural gas (DADNG) on domestic aggregate energy consumption (DAEC) in China

This paper examines the possible asymmetric transmissions from domestic aggregate demand for natural gas to domestic aggregate energy consumption in China using time series data from 1970 to 2016. The nonlinear autoregressive distributed lags (NARDL) model is employed to check the possibility of long-term asymmetric nexus among variables. The empirical findings confirm the existence of symmetric cointegration between the domestic aggregate demand for natural gas and domestic aggregate energy consumption. The results also indicate that positive shocks in domestic aggregate energy consumption lead an increase in domestic aggregate energy consumption in both short-run and long-run. While the NARDL dynamic multiplier graph suggests that the positive component of domestic aggregate demand for natural gas has deep impact on domestic aggregate energy consumption.
Design of multiband segmented loop antenna for unmanned aerial vehicle applications

A multiband segmented loop antenna for unmanned aerial vehicle applications is proposed. The antenna is composed of a segmented loop including eight segments, a patch element, and a shorting strip. The antenna operates with an omnidirectional radiation at 956 MHz because the eight segments are electrically connected with seven capacitive reactances. Due to the addition of both the patch element and shorting strip, the impedance matching characteristic is improved. The proposed antenna has the multiband performance covering GPS L1, GSM1800, GSM1900, UMTS, LTE2300, LTE2500, and 2400 MHz ISM bands. The antenna has quasi-omnidirectional radiation over the above listed frequency bands.
Caged compounds for multichromic optical interrogation of neural systems

Caged compounds are widely used by neurophysiologists to study many aspects of cellular signaling in glia and neurons. Biologically inert before irradiation, they can be loaded into cells via patch pipette or topically applied in situ to a defined concentration; photolysis releases the caged compound in a very rapid and spatially defined way. As caged compounds are exogenous optical probes, they include not only natural products such neurotransmitters, calcium and IP3 but non‐natural products such as fluorophores, drugs and antibodies. In this Technical Spotlight we provide a short introduction to the uncaging technique by discussing the nitroaromatic caging chromophores most widely used in such experiments [e.g. α‐carboxy‐ortho‐nitrobenyl (CNB), dimethoxynitrobenzyl (DMNB), 4‐methoxy‐7‐nitroindolinyl (MNI) and 4‐carboxymethoxy‐7‐nitroindolinyl (CDNI)]. We show that recently developed caging chromophores [rutheniumbipyridial (RuBi) and 7‐diethylaminocoumarin (DEAC)450] that are photolyzed with blue light (~ 430–480 nm range) can be combined with traditional nitroaromatic caged compounds to enable two‐color optical probing of neuronal function. For example, one‐photon uncaging of either RuBi‐GABA or DEAC450‐GABA with a 473‐nm laser is facile, and can block nonlinear currents (dendritic spikes or action potentials) evoked by two‐photon uncaging of CDNI‐Glu at 720 nm. We also show that two‐photon uncaging of DEAC450‐Glu and CDNI‐GABA at 900 and 720 nm, respectively, can be used to fire and block action potentials. Our experiments illustrate that recently developed chromophores have taken uncaging out of the ‘monochrome era’, in which it has existed since 1978, so as to enable multichromic interrogation of neuronal function with single‐synapse precision.
A Coupon Classification Method Based on Adaptive Image Vector Matching

This paper describes a coupon classification system based on image vector matching. This method features following two points. (1) Extract a feature vector from a gray-scale image using a feature map which is derived from training coupon images. (2) Classify a coupon image by adaptive mask distance to cope with the recognition difficulty such as partial cutting of coupon and putting stamp on it. We have implemented this method and experimented with collected samples. It achieved 100% of recognition rates, processing speed 11.76msec/sheet to 969 images for 42 kinds of coupon samples
Cooperative kernels: GPU multitasking for blocking algorithms

There is growing interest in accelerating irregular data-parallel algorithms on GPUs. These algorithms are typically blocking, so they require fair scheduling. But GPU programming models (e.g. OpenCL) do not mandate fair scheduling, and GPU schedulers are unfair in practice. Current approaches avoid this issue by exploiting scheduling quirks of today's GPUs in a manner that does not allow the GPU to be shared with other workloads (such as graphics rendering tasks). We propose cooperative kernels, an extension to the traditional GPU programming model geared towards writing blocking algorithms. Workgroups of a cooperative kernel are fairly scheduled, and multitasking is supported via a small set of language extensions through which the kernel and scheduler cooperate. We describe a prototype implementation of a cooperative kernel framework implemented in OpenCL 2.0 and evaluate our approach by porting a set of blocking GPU applications to cooperative kernels and examining their performance under multitasking. Our prototype exploits no vendor-specific hardware, driver or compiler support, thus our results provide a lower-bound on the efficiency with which cooperative kernels can be implemented in practice.