Miracle-dz/UniFAR-FTUs huggingface dataset:
OPTIMIZATION OF ASSOCIATION RULES FOR TUBERCULOSIS USING GENETIC ALGORITHM

Tuberculosis (TB) is a disease caused by bacteria called Mycobacterium Tuberculosis which usually spreads through the air and attacks low immune bodies. Human Immuno deficiency Virus (HIV) patients are more likely to be attacked by TB. It is an important health problem around the world including India. Association Rule Mining is the process of discovering interesting and unexpected rules from large sets of data. This approach results in huge quantity of rules where some are interesting and others are repetitive. It also limits the quality of rules to only two measures support and confidence. In this paper we try to optimize the rules generated by Association Rule Mining for Tuberculosis using Genetic Algorithm. Our approach is to extract only a small set of high quality Tuberculosis rules among the larger set using Genetic Algorithm. In the current approach datatypes such as discrete, continuous and categorical items have been handled. The proposed experimental result includes a small set of converged TB rules that helps doctors in their diagnosis decisions. The main motivation for using Genetic Algorithms in the discovery of high-level prediction rules is that they are robust, use adaptive search techniques that perform a global search on the solution space and cope better with attribute interaction than the greedy rule induction algorithms often used in data mining.
Altering DNA Repair to Improve Radiation Therapy: Specific and Multiple Pathway Targeting

Radiation therapy (RT) is widely used in cancer care strategies. Its effectiveness relies mainly on its ability to cause lethal damage to the DNA of cancer cells. However, some cancers have shown to be particularly radioresistant partly because of efficient and redundant DNA repair capacities. Therefore, RT efficacy might be enhanced by using drugs that can disrupt cancer cells' DNA repair machinery. Here we review the recent advances in the development of novel inhibitors of DNA repair pathways in combination with RT. A large number of these compounds are the subject of preclinical/clinical studies and target key enzymes involved in one or more DNA repair pathways. A totally different strategy consists of mimicking DNA double-strand breaks via small interfering DNA (siDNA) to bait the whole DNA repair machinery, leading to its global inhibition.
Computing oscillatory solutions of the Euler system via K-convergence

We develop a method to compute effectively the Young measures associated to sequences of numerical solutions of the compressible Euler system. Our approach is based on the concept of [Formula: see text]-convergence adapted to sequences of parameterized measures. The convergence is strong in space and time (a.e. pointwise or in certain [Formula: see text] spaces) whereas the measures converge narrowly or in the Wasserstein distance to the corresponding limit.
Applying Siamese Hierarchical Attention Neural Networks for multi-document summarization

This work has been partially supported by the Spanish MINECO and FEDER founds under project AMIC (TIN2017-85854-C4-2-R). Work of Jose-Angel Gonzalez is also financed by Universitat Politecnica de Valencia under grant PAID-01-17.
Análisis de sentimiento en el dominio salud: analizando comentarios sobre fármacos

En el analisis de sentimiento, la mayoria de las investigaciones han sido llevadas a cabo en dominios generales tales como en el analisis de opiniones de peliculas, restaurantes y otros productos o servicios, con escasa representacion en el ambito medico. Cada vez mas, los pacientes buscan informacion en internet sobre los posibles beneficios, efectos adversos y opiniones que otros pacientes tiene sobre diferentes farmacos. El objetivo de este trabajo es predecir el grado de satisfaccion de los pacientes respecto a un determinado farmaco en base a sus comentarios. Para llevar a cabo la tarea, hemos utilizado una coleccion de comentarios sobre diferentes tipos de farmacos y aplicado una red convolucional para la clasificacion de los mismos. Los resultados muestran que este tipo de redes proporciona mejores resultados en terminos de precision, recall y f1-score que empleando algoritmos clasicos de clasificacion como las maquinas de soporte vectorial.
Application of ultrasonic sensor to broken line tracking of corrugated board

Ultrasonic sensor produced by Banner was used to track a period of broken line for corrugated board at three velocities,and TMS320LF2407A was used to sample the analog signal of the sensor and transform it to digital signal.Through the function of fast Fourier transform,the sample data was analyzed to get the frequency range of target signal.Then a Butterworth digital filter was designed.Filtered data showed that the waveforms at the three velocities were very similar,the signal changed significantly at the junction position between groove and hypotenuse surface of the corrugated board,and the signal were leading or lag at the junction position between the top and hypotenuse surface of the corrugated board because of the characteristics of the scattering and reflection of ultrasound.The former was chosen target position.The broken line from the given point was tracked repeatedly at welding tractor speed of 500 cts/s.The results indicated that the signal mutational site was the broken position,and the error range was-0.60 to-0.04 mm.
Learner Identity in EFL: An Analysis of Digital Texts of Identity in Higher Education.

This study explores learner identity (LI) in digital texts of identity (DTI) produced by college learners in English as a foreign language (EFL). In so doing, it aims to shed light on learners’ connections of their learning experiences across time and settings, and their impact on the various learner identities that form their LI. It also intends to elucidate how learners construct powerful learner identities in and through their digital discourses. To this end, 51 DTI were collected and scrutinized, following studies on LI, critical and poststructuralist discourse analysis, and “thematic” and “dialogic/performative” analysis within narrative research. Learners established connections between their family and daily life spaces, school, and the foreign language community that account for, and shape their construction of their identities as learners in general, and language learners in particular. Students also empowered themselves by identifying with an intercultural speaker, using authority claims, and, in general, enhancing their authoritativeness in and through their texts. These findings underscore the potential of DTI to reinforce learners’ identities, and create more equitable learning spaces.
A High-precision Current Sense Circuit with Trimming for DC-DC Converts

Abstract. A high-precision current sense circuit with trimming is proposed to realize the over-current protection of the power management chip and improve its conversion efficiency. Based on solving the problem of voltage offset and current inrush caused by process deviation, this circuit can detect the value of the inductor current accurately. By designing the bandgap reference circuit and the reference voltage bias network, the required stable reference voltage and bias current can be obtained. The trimming bit selection circuit can realize the trimming function. This circuit is designed with TSMC 180nm 1P3M GEN2 process, and all circuits are verified by Cadence Spectre.
‘A Journey from the Vague to the Precise’: using Faff’s (2015) Pitching Research Framework for conveying our research ideas with a professional flair

: This paper explores the personal experience of using the Research pitch template, developed by Faff (2015, 2018), to develop a raw research idea of a novice researcher into a finished pitch, to share with and present to the expert, supervisor(s) for further discussion and guidance on the Research topic. The journey from the first encounter with the pitch template to metamorphosing into an expert user of the pitch, where we created various real and reverse engineered pitches at different stages of the learning curve, has been presented in detail with personal anecdotes as the process progressed.
Confidentialité dans les systèmes de réputation

On reputation systems, it has been observed that testimonies are mostly positive in order to avoid vengeful evaluations. Such behaviour reduces the effectiveness of the system. In order to incite agents to publish all their testimonies, classic solutions consist in anonymizing them. In the literature, manyworks have proposed cryptographic approaches to ensure both anonymity and non-repudiation of testimonies. However, due to correlations between transactions and dissemination of new testimonies, it does not guarantee confidentiality. In this article, we propose to study the feasibility of another approach inwhich a noise is applied on testimonies and those latter are subject to delays of diffusion. Experimental results highlight the effect of these disturbances on theBetaReputation andEigenTrust reputation systems.
LTE Phone Number Catcher: A Practical Attack against Mobile Privacy

Phone number is a unique identity code of a mobile subscriber, which plays a more important role in the mobile social network life than another identification number IMSI. Unlike the IMSI, a mobile device never transmits its own phone number to the network side in the radio. However, the mobile network may send a user’s phone number to another mobile terminal when this user initiating a call or SMS service. Based on the above facts, with the help of an IMSI catcher and 2G man-in-the-middle attack, this paper implemented a practicable and effective phone number catcher prototype targeting at LTE mobile phones. We caught the LTE user’s phone number within a few seconds after the device camped on our rogue station. This paper intends to verify that mobile privacy is also quite vulnerable even in LTE networks as long as the legacy GSM still exists. Moreover, we demonstrated that anyone with basic programming skills and the knowledge of GSM/LTE specifications can easily build a phone number catcher using SDR tools and commercial off-the-shelf devices. Hence, we hope the operators worldwide can completely disable the GSM mobile networks in the areas covered by 3G and 4G networks as soon as possible to reduce the possibility of attacks on higher-generation cellular networks. Several potential countermeasures are also discussed to temporarily or permanently defend the attack.
Shank3 Exons 14–16 Deletion in Glutamatergic Neurons Leads to Social and Repetitive Behavioral Deficits Associated With Increased Cortical Layer 2/3 Neuronal Excitability

Shank3, an abundant excitatory postsynaptic scaffolding protein, has been associated with multiple brain disorders, including autism spectrum disorders (ASD) and Phelan-McDermid syndrome (PMS). However, how cell type-specific Shank3 deletion affects disease-related neuronal and brain functions remains largely unclear. Here, we investigated the impacts of Shank3 deletion in glutamatergic neurons on synaptic and behavioral phenotypes in mice and compared results with those previously obtained from mice with global Shank3 mutation and GABAergic neuron-specific Shank3 mutation. Neuronal excitability was abnormally increased in layer 2/3 pyramidal neurons in the medial prefrontal cortex (mPFC) in mice with a glutamatergic Shank3 deletion, similar to results obtained in mice with a global Shank3 deletion. In addition, excitatory synaptic transmission was abnormally increased in layer 2/3 neurons in mice with a global, but not a glutamatergic, Shank3 deletion, suggesting that Shank3 in glutamatergic neurons are important for the increased neuronal excitability, but not for the increased excitatory synaptic transmission. Neither excitatory nor inhibitory synaptic transmission was altered in the dorsal striatum of Shank3-deficient glutamatergic neurons, a finding that contrasts with the decreased excitatory synaptic transmission in global and Shank3-deficient GABAergic neurons. Behaviorally, glutamatergic Shank3-deficient mice displayed abnormally increased direct social interaction and repetitive self-grooming, similar to global and GABAergic Shank3-deficient mice. These results suggest that glutamatergic and GABAergic Shank3 deletions lead to distinct synaptic and neuronal changes in cortical layer 2/3 and dorsal striatal neurons, but cause similar social and repetitive behavioral abnormalities likely through distinct mechanisms.
Vitiligo Adverse Event Observed in a Patient With Durable Complete Response After Nivolumab for Metastatic Renal Cell Carcinoma

Background: Renal cell carcinoma is the third most prevalent urological cancer worldwide and about 30% of patients present with metastatic disease at the time of diagnosis. Systemic treatments for metastatic renal cell carcinoma have improved recently. Vascular endothelial growth factor targeting therapies were the previous standard of care. However, immune checkpoint inhibitors used in second line therapy have now been shown to improve patient survival. We report a case of metastatic renal cell carcinoma with nivolumab as a second-line therapy after progression with tyrosine kinase inhibitor therapy. Unusual adverse events in metastatic renal cell carcinoma, such as vitiligo, were observed in this patient who developed a remarkable documented pathological complete response to his renal tumor. Case presentation: A 60-year-old caucasian male was diagnosed with a pulmonary metastatic clear cell renal cell carcinoma. Sunitinib was used as first line treatment without success. He received nivolumab in second-line treatment. He developed several immune-related adverse events, most notably vitiligo. The patient had a radiological complete response on metastatic sites, with a significant decrease of renal tumor volume and underwent cytoreductive nephrectomy after 2 years of treatment, confirming the pathological complete response. The patient remains disease-free for 10 months without further systemic therapy after nivolumab discontinuation. Conclusions: Pathological complete response with nivolumab in metastatic renal cell carcinoma is rare. This case further highlights the potentially predictive role of immune-related adverse events during nivolumab therapy for metastatic renal cell carcinoma and raises questions concerning the role of nephrectomy after immune checkpoint inhibitor therapy. Further studies are needed to better identify predictive factors for treatment response to immunotherapy in metastatic renal cell carcinoma, and to better understand the role of nephrectomy after nivolumab treatment.
Robust Event-Based Object Tracking Combining Correlation Filter and CNN Representation

Object tracking based on the event-based camera or dynamic vision sensor (DVS) remains a challenging task due to the noise events, rapid change of event-stream shape, chaos of complex background textures, and occlusion. To address the challenges, this paper presents a robust event-stream object tracking method based on correlation filter mechanism and convolutional neural network (CNN) representation. In the proposed method, rate coding is used to encode the event-stream object. Feature representations from hierarchical convolutional layers of a pre-trained CNN are used to represent the appearance of the rate encoded event-stream object. Results prove that the proposed method not only achieves good tracking performance in many complicated scenes with noise events, complex background textures, occlusion, and intersected trajectories, but also is robust to variable scale, variable pose, and non-rigid deformations. In addition, the correlation filter-based method has the advantage of high speed. The proposed approach will promote the potential applications of these event-based vision sensors in autonomous driving, robots and many other high-speed scenes.
High-performance Piezoresistive Accelerometer with Slotted Quad-beam Structure

Combining the development requirements of intelligent equipment and wireless detection system,a piezoresistive microaccelerometer with high sensitivity and resonant frequency is presented based on micro-electro-mechanical system(MEMS)technology and stress concentration.Theoretical modeling and numerical calculation are performed to specify its structure parameters.Sensor chips are fabricated by micromachining technique and tested to characterize its static and dynamic properties.Experimental results show that the sensitivity of slotted quad-beam structure accelerometer is as high as 0.424 mV/g with a 3 V power supply.Compared with the traditional quad-beam structure sensor,an increase of sensitivity by 60% is obtained,with a slight decrease of natural frequency which is still higher than 10 kHz.The introduction of stress concentration slots into quad beams promises the sensor characters by improving sensitivity remarkably and sacrificing slight natural frequency.
Real-time visual transmission mechanism of graphics diversity based on mobile 3D graphics matching algorithm

ABSTRACT A visual communication mechanism for the diversity of advertising graphs based on matching algorithm of mobile 3D graphs is proposed, so as to increase the effectiveness of visual communication mechanism for the diversity of advertising graphs. Firstly, a matching algorithm of mobile 3D graph is proposed, and the optimal prediction block in the search scope of reference frame is searched with the current frame block, thus increasing the effectiveness of visual communication mechanism; secondly, optimal matching block is sought is the search scope of reference frame with boundary pixel of sparse image block, thus improving the performance of matching algorithm; and finally, the performance advantage of the proposed algorithm concerning communication precision and communication efficiency is verified.
A Survey on Leach Protocol and its Enhanced Version

Improvement in communications and computation Technology has enabled the development of low-cost, lowpower, small-size, and multifunctional sensor nodes in a wireless sensor network. The radio transmission and reception consumes a lot of energy, one of the important issues in wireless sensor network is the inherent limited battery power within network sensor nodes. So that battery power is a very important parameter in the algorithm design to increase lifetime of sensor nodes in the network. To maximizing the lifetime of sensor nodes, it is more suitable to divide the energy dissipated throughout the wireless sensor network in order to maximize overall network performance. Much research has been done in recent years, investigating different aspects like, low power protocols, network establishments, routing protocol, and coverage problems of wireless sensor networks. There are various routing protocols like location-aided, multi-path, data-centric, mobility-based, QoS based, heterogeneity-based, hierarchical routing, hybrid routing, etc., in which optimal routing can be achieved in the context of energy. In this paper, we focus only on hierarchical routing protocol and various LEACH-Based hierarchal routing protocols like LEACH-C, M-LEACH, E-LEACH, VLEACH etc. Most of the research in energy efficient data gathering in data centric applications of wireless sensor networks is motivated by LEACH
Coverage Probability Optimisation by Utilizing Flexible Hybrid mmWave Spectrum Slicing– Sharing Access Strategy for 5G Cellular Systems

t —Spectrum and infrastructure sharing among multiple mobile network operators is a vital solution to substantially and sustainably improves cost and network efficiency. However, such approach may face several challenges, such as the imposed restrictions on the independence of operators, the complexity of spectrum management policies and the mutual interference issues among operators. Therefore, in this study, we propose a flexible hybrid spectrum access strategy, namely, hybrid millimetre wave (mmWave) spectrum slicing–sharing access (HMSSSA), to optimise the coverage probability via distributing the spectrum in a hybrid manner. Accordingly, the interference problem can be addressed, and the coverage probability can be improved. In the proposed strategy, the spectrum splits into three different classes: (i) exclusive right assigned to all of the operators, (ii) semi-pooled among all the operators and (iii) fully pooled (shared) as open access among all the operators with the ultra-flexibility feature. Adaptive hybrid multi-state mmWave cell selection (AHMMC-S) scheme is adopted to optimally associate a typical user to the mmWave base station (mBS) that offers high signal-to-interference plus noise ratio. Numerical results demonstrate that our proposed strategy reduces the outage probability significantly, provides a degree of freedom to the subscribers to optimally select mBS with high signal quality and maintains an acceptable level of mBS densification.
Feed efficiency and carcass metrics in growing cattle.

Some definitions of feed efficiency such as residual energy intake (REI) and residual gain (RG) may not truly reflect production efficiency. The energy sinks used in the derivation of the traits include metabolic live-weight; producers finishing cattle for slaughter are, however, paid on the basis of carcass weight, as opposed to live-weight. The objective of the present study was to explore alternative definitions of REI and RG which are more reflective of production efficiency, and quantify their relationship with performance, ultrasound, and carcass traits across multiple breeds and sexes of cattle. Feed intake and live-weight records were available on 5,172 growing animals, 2,187 of which also had information relating to carcass traits; all animals were fed a concentrate-based diet representative of a feedlot diet. Animal linear mixed models were used to estimate (co)variance components. Heritability estimates for all derived REI traits varied from 0.36 (REICWF; REI using carcass weight and carcass fat as energy sinks) to 0.50 (traditional REI derived with the energy sinks of both live-weight and ADG). The heritability for the RG traits varied from 0.24 to 0.34. Phenotypic correlations among all definitions of the REI traits ranged from 0.90 (REI with REICWF) to 0.99 (traditional REI with REI using metabolic pre-slaughter live-weight and ADG). All were different (P<0.001) from one suggesting re-ranking of animals when using different definitions of REI to identify efficient cattle. The derived RG traits were either weakly or not correlated (P>0.05) with the ultrasound and carcass traits. Genetic correlations between the REI traits with carcass weight, dressing difference (i.e. live-weight immediately pre-slaughter minus carcass weight) and dressing percentage (i.e. carcass weight divided by live-weight immediately pre-slaughter) implies that selection on any of the REI traits will increase carcass weight, lower the dressing difference and increase dressing percentage. Selection on REICW (REI using carcass weight as an energy sink), as opposed to traditional REI, should increase the carcass weight 2.2 times slower but reduce the dressing difference 4.3 times faster. While traditionally defined REI is informative from a research perspective, the ability to convert energy into live-weight gain does not necessarily equate to carcass gain, and as such, traits such as REICW and REICWF provide a better description of production efficiency for feedlot cattle.