Miracle-dz/UniFAR-FTUs huggingface dataset:
Six tips for students interested in big data analytics

F orrester, a global research and advisory firm, estimates firms effectively utilize less than five percent of available data, mainly due to the lack of training and skills necessary for the type of information gathering and analysis needed to transform big data. If you are considering a career in information technology, business analytics, and/or computer science, you may want to consider the data scientist role. As I’m often asked where students can begin, I’ve pulled together six tips for those interested in a career in the growing and exciting field of big data. 1. look for programs offering hands-on training. Large organizations like IBM are working with academic organizations around the world specifically in the area of expanding and strengthening data and analytics curricula to meet the growing demand of highly skilled business professionals of the future. As an example, Yale’s School of Management partnered with IBM to examine existing case studies and apply big data analytics software to solve problems. 2. Gain domain expertise, or industry knowledge, across several fields before applying data analysis to gain the best insights. As Manish Parashar, director of Rutgers Discovery Informatics Institute says, “Students not only need to learn tools to handle big data—they must learn how to integrate big data into their reasoning. ” Domain expertise will be important across multiple industries as the applications of big data analytics expand. 3. develop an understanding of business practices. In a recent conversation on big data skills, educator and author Terri Griffith believes you can’t manage people, technology, or organizational processes in silos. Instead, an effective data professional in the business world knows how to use all of their resources as well as mix and match solutions of people, technology, and other assets across the organization. 4. Gain background in computer science and software development, but do not ignore basic analytical skills such as statistics. During an online panel discussion, Anders Rhod Gregersen of Vestas Wind Systems stated the “power-users” of analytics are statisticians. By combining math with computer science, data professionals can develop unique algorithms that analyze data in organization-specific ways. This unique overlap is known as “machine learning” and is one of the most in-demand skills. 5. learn to think like a scientist. Scientists see the world very differently. They do research, ask questions, and set up experiments to get answers. They question everything and don’t just look at data, they dissect it. 6. never stop learning. Ask people to explain what they do to expand your skills and explore supplemental learning opportunities.
A screening methodology for crowdsourcing video QoE evaluation

Recently, crowdsourcing has emerged as a cheaper and quicker alternative to traditional laboratory based Quality of Experience (QoE) evaluation for video streaming services. Crowdsourcing is a process of recruiting anonymous members of the public to solve/perform different tasks without supervision. This approach of seeking solutions from the public has been enhanced by ubiquitous internet connectivity, low cost and the ease to recruit workers without geographical restrictions. Although crowdsourcing makes it possible to save cost and reach a large group of people to perform subjective video quality testing, challenges such as validity of results and the trustworthiness of workers still remain unresolved. In this paper, we attempt to address some of these challenges by developing a screening algorithm that is able to determine the validity and trustworthiness of crowdsourcing video QoE evaluation results. This algorithm is based on evaluator's extracted data (e.g. Network IP addresses, network devices and browser information, time spent on the crowdsourcing platform, date and grading patterns). To determine the performance of this algorithm, we carried out a separate controlled laboratory based subjective video quality testing. This test enables us to determine how screened crowdsourcing results correlate with lab based results. Preliminary results show that crowdsourcing results can be improved by up to 59% when the proposed screening algorithm is applied. Moreover, the results support our assertion that crowdsourcing can provide reliable video QoE measurements if proper screening is performed on the test results.
Network MIMO in the Presence of Transmit Desynchronization

In this paper, we study the performance of Network MIMO in the presence of transmit desynchronization between the base stations (BS), in Rayleigh fading radio environments. We model the transmit desynchronization using lower shift matrices and we explain how a receiver can reliably detect space-time codewords while mitigating synchronization errors. Subsequently, we derive a closed form of the system capacity and bounds on the capacity scaling. Interestingly, we find out that maximum capacity scaling can be preserved even in the presence of desynchronization, provided that the latter be uniformly distributed over [0,T-1], where T is the codeblock length. Thus, our work suggests that, rather than synchronizing all BSs to a common clock, it would be more beneficial, from a capacity scaling perspective, to have their signal clocks independent from each other.
New Directions in the Development of Antiarrhythmic Drugs

Abstract: To identify new antiarrhythmic drugs and their mechanisms of actions, it has been necessary to use appropriate models to describe arrhythmias. Recently introduced concepts in cellular electrophysiology of arrhythmias provide the newest models in which drug development have been attempted. Arrhythmias have been attributed to abnormalities of conduction, abnormalities of impulse formation, or a combination of both. Recent descriptions of abnormally triggered rhythms have been ascribed to a phenomenon called afterdepolarizations. An ionic basis for the formation of these arrhythmias has been recently described. Further, specificity of the drug effects at a cellular level to modify these arrhythmias are being observed by a variety of new techniques. Microelectrode methods have provided direct access to the intracellular milieu to determine the biophysical changes brought about by antiarrhythmic agents. These observations have led to a greater understanding of the underlying abnormalities at the cellular level. Testing of antiarrhythmic drugs in the intact heart has led to the development of clinical use of invasive electrophysiologic techniques. Intracardiac catheters are being used to describe abnormalities of impulse initiation as well as conduction. Efficacy of antiarrhythmic drugs in the intact heart may be determined with greater accuracy using these techniques. Abnormal rhythms can be initiated and terminated using intracardiac catheter methods with antiarrhythmic agents as therapeutic adjuncts.
Candida lipolytica UCP0988 Biosurfactant: Potential as a Bioremediation Agent and in Formulating a Commercial Related Product

The aim of the present study was to investigate the potential application of the biosurfactant from Candida lipolytica grown in low-cost substrates, which has previously been produced and characterized under optimized conditions as an adjunct material to enhance the remediation processes of hydrophobic pollutants and heavy metals generated by the oil industry and propose the formulation of a safe and stable remediation agent. In tests carried out with seawater, the crude biosurfactant demonstrated 80% oil spreading efficiency. The dispersion rate was 50% for the biosurfactant at a concentration twice that of the CMC. The biosurfactant removed 70% of motor oil from contaminated cotton cloth in detergency tests. The crude biosurfactant also removed 30–40% of Cu and Pb from standard sand, while the isolated biosurfactant removed ~30% of the heavy metals. The conductivity of solutions containing Cd and Pb was sharply reduced after biosurfactants' addition. A product was prepared through adding 0.2% potassium sorbate as preservative and tested over 120 days. The formulated biosurfactant was analyzed for emulsification and surface tension under different pH values, temperatures, and salt concentrations and tested for toxicity against the fish Poecilia vivipara. The results showed that the formulation had no toxicity and did not cause significant changes in the tensoactive capacity of the biomolecule while maintaining activity demonstrating suitability for potential future commercial product formulation.
EFENDING DNN A DVERSARIAL A TTACKS WITH P RUNING AND L OGITS A UGMENTATION

Deep neural networks (DNNs) have been shown to be powerful models and perform extremely well on many complicated artificial intelligent tasks. However, recent research found that these powerful models are vulnerable to adversarial attacks, i.e., intentionally added imperceptible perturbations to DNN inputs can easily mislead the DNNs with extremely high confidence. In this work, we enhance the robustness of DNNs under adversarial attacks by using pruning method and logits augmentation, therefore, we achieve both higher defense against adversarial examples and more compressed DNN models. We have observed defense against adversarial attacks under the white box attack assumption. Our defense mechanisms work even better under the black box attack assumption.
Probiyotik Bakteri ile Sebze Sularının Fermentasyonu

Bu calismada, brokoli, karnabahar ,kirmizi ve beyaz lahana sebzelerinden elde edilen sebze sulari probiyotik (Lactobacillus casei ve Lactobacillus paracasei) ile fermente edilmistir. Bu bakterilerin raf omru boyunca yasayabilirlikleri takip edilmistir. 24 saat boyunca 30°C de fermantasyon gerceklestirildikten sonra, sebze sulari 4 °C de 42 gune kadar depolanmistir. Depolama esnasinda her 7 gunluk periyotta (L. casei ve L. paracasei) bakterilerinin yasayabilirlikleri test edilmistir. Mikrobiyolojik analizler, toplam starter (laktik asit bakteri) kulturu sayimi ile yapilmistir. Sonuc olarak, toplam bakteri sayiminda bazi degerler yuksek ve bazi ise dusuk bulunmustur. Elde edilen sonuclara gore, 4oC’de 42 gune kadar sebze sulari depolanabilir.
Molecular Cloning, Functional Expression and Pharmacological Characterization of the Human Metabotropic Glutamate Receptor Type 2

A cDNA encoding the human metabotropic glutamate receptor type 2 (hmGluR2) was isolated from human brain cDNA libraries by cross‐hybridization with rat mGluR2 probes. The deduced amino acid sequence of the human mGluR2 receptor consists of 872 residues and shows a sequence identity of 97% to the amino acid sequence of rat mGluR2. Northern blot analyses showed that hmGluR2 is widely expressed in different regions of the adult brain as well as in fetal human brain. Genomic Southern blotting localized the mGluR2 gene to human chromosome 3. Chinese hamster ovary (CHO) cells stably transfected with the cloned hmGluR2 cDNA exhibit agonist induced depression of forskolin‐stimulated cAMP accumulation. A direct comparison of CHO cells stably expressing human and rat mGluR2 with five agonists revealed the same rank order of potency [(2S,3S,4S)‐α‐(carboxycyclopropyl)‐glycine » (1S,3R)‐1‐aminocyclopentane‐1,3‐dicarboxylic acid =l‐glutamate » quisqualate =l‐2‐amino‐4‐phosphonobutyric acid] and similar EC50 values for both homologous receptors. (R.S)‐a‐methyl‐4‐carboxyphenylglycine, a reported antagonist at some mGluR subtypes, reduced the depression of forskolin‐induced cAMP accumulation by (1S,3R)‐ACPD in both human and rat mGluR2.
Spatial temporal simulation of active optoelectronic and plasmonic devices using a multi-level multi-electron FDTD model

We introduce a recently developed general computational model for the electromagnetic simulations of complex atomic, molecular, or semiconductor media using the finite difference time domain (FDTD) method based on a multi-level multi-electron (MLME) system. We show how this MLME-FDTD model can be used for spatial-temporal simulation of a wide range of active optoelectronic and plasmonic devices. Realistic simulations ranging from semiconductor lasers, to plasmonic lasers, and semiconductor optical amplifiers are illustrated.
Activation of the β2-Adrenergic Receptor Involves Disruption of an Ionic Lock between the Cytoplasmic Ends of Transmembrane Segments 3 and 6*

The movements of transmembrane segments (TMs) 3 and 6 at the cytoplasmic side of the membrane play an important role in the activation of G-protein-coupled receptors. Here we provide evidence for the existence of an ionic lock that constrains the relative mobility of the cytoplasmic ends of TM3 and TM6 in the inactive state of the β2-adrenergic receptor. We propose that the highly conserved Arg-1313.50 at the cytoplasmic end of TM3 interacts both with the adjacent Asp-1303.49 and with Glu-2686.30 at the cytoplasmic end of TM6. Such a network of ionic interactions has now been directly supported by the high-resolution structure of the inactive state of rhodopsin. We hypothesized that the network of interactions would serve to constrain the receptor in the inactive state, and the release of this ionic lock could be a key step in receptor activation. To test this hypothesis, we made charge-neutralizing mutations of Glu-2686.30 and of Asp-1303.49 in the β2-adrenergic receptor. Alone and in combination, we observed a significant increase in basal and pindolol-stimulated cAMP accumulation in COS-7 cells transiently transfected with the mutant receptors. Moreover, based on the increased accessibility of Cys-2856.47 in TM6, we provide evidence for a conformational rearrangement of TM6 that is highly correlated with the extent of constitutive activity of the different mutants. The present experimental data together with the recent high-resolution structure of rhodopsin suggest that ionic interactions between Asp/Glu3.49, Arg3.50, and Glu6.30may constitute a common switch governing the activation of many rhodopsin-like G-protein-coupled receptors.
2-Aminopyridinium 1-phenylcyclopropane-1-carboxylate

In the title salt, C5H7N2 +·C10H9O2 −, 2-aminopyridine and 1-phenylcyclopropane-1-carboxylic acid crystallize together, forming a 2-aminopyridinium–carboxylate supramolecular heterosynthon involving two N—H⋯O hydrogen bonds, which in turn dimerizes to form a four-component supramolecular unit also sustained by N—H⋯O hydrogen bonding. A C—H⋯π interaction between a pyridine C—H group and the centroid of the phenyl ring of the anion further stabilizes the four-component supramolecular unit. The overall crystal packing also features C—H⋯O interactions.
Recurrent Neural Network based language modeling with controllable external Memory

It is crucial for language models to model long-term dependency in word sequences, which can be achieved to some good extent by recurrent neural network (RNN) based language models with long short-term memory (LSTM) units. To accurately model the sophisticated long-term information in human languages, large memory in language models is necessary. However, the size of RNN-based language models cannot be arbitrarily increased because the computational resources required and the model complexity will also be increase accordingly, due to the limitation of the structure. To overcome this problem, inspired from Neural Turing Machine and Memory Network, we equip RNN-based language models with controllable external memory. With a learnable memory controller, the size of the external memory is independent to the number of model parameters, so the proposed language model can have larger memory without increasing the parameters. In the experiments, the proposed model yielded lower perplexities than RNN-based language models with LSTM units on both English and Chinese corpora.
Approximation of non-autonomous dynamic systems by continuous time recurrent neural networks

This work provides a framework for the approximation of a dynamic system of the form x/spl dot/=f(x)+g(x)u by dynamic recurrent neural network. This extends previous work in which approximate realisation of autonomous dynamic systems was proven. Given certain conditions, the first p output neural units of a dynamic n-dimensional neural model approximate at a desired proximity a p-dimensional dynamic system with n>p. The neural architecture studied is then successfully implemented in a nonlinear multivariable system identification case study.
The impact of genetic selection for increased milk yield on the welfare of dairy cows

Milk yield per cow has more than doubled in the previous 40 years and many cows now produce more than 20,000 kg of milk per lactation. The increase in production should be viewed with concern because: i) the increase in milk yield has been accompanied by declining fertility, increasing leg and metabolic problems and declining longevity; ii) there are unfavourable genetic correlations between milk yield and fertility, mastitis and other production diseases, indicating that deterioration in fertility and health is largely a consequence of selection for increased milk yield; and iii) high disease incidence, reduced fertility, decreased longevity and modification of normal behaviour are indicative of substantial decline in cow welfare. Improving welfare is important as good welfare is regarded by the public as indicative of sustainable systems and good product quality and may also be economically beneficial. Expansion of the Profitable Lifetime Index used in the UK to include mastitis resistance and fertility could increase economic response to selection by up to 80%, compared with selection for milk production alone. In the last 10 years, several breeding organisations in Europe and North America followed the example of Nordic Countries and have included improving fertility and reducing incidence of mastitis in their breeding objectives, but these efforts are still timid. A multi-trait selection programme in which improving health, fertility and other welfare traits are included in the breeding objective, and appropriately weighted relative to production traits, should be adopted by all breeding organisations motivated in their goal of improving welfare.
Clinical practice. Head lice.

From the Department of Public Health Medicine, North Wales Health Authority, Mold, Flintshire, United Kingdom. Address reprint requests to Dr. Roberts at the Department of Public Health Medicine, North Wales Health Authority, Hendy Rd., Mold, Flintshire CH7 1PZ, United Kingdom, or at richard.roberts@nwales-ha.wales. nhs.uk. An eight-year-old girl is sent home after the school nurse detects head lice. She will not be permitted to return to school until the absence of infestation is documented. What treatment strategy is most likely to allow her to return to school with a minimal risk of infecting her classmates?
Výzkum nových léčiv u Alzheimerovy choroby

Alzheimerova nemoc (AD) je nejAastAjĹĄĂ­ pĹĂ­Ainou demence, pĹesto jsou souAasnĂS moĹžnosti lĂSAby AD limitovĂĄny a jsou zaloĹženy na podĂĄvĂĄnĂ­inhibitorĹŻ cholinesterĂĄz a/nebo memantinu ovlivĹujĂ­cĂ­ho glutamĂĄtergnĂ­ systĂSm. PĹedklĂĄdanĂ˝ pĹehledovĂ˝ AlĂĄnek shrnuje souAasnĂS smAry vĂ˝vojenovĂ˝ch lĂĄtek pro lĂSAbu AD, zamAĹuje se na molekuly, kterĂS se dostaly do klinickĂ˝ch studiĂ­. NejvĂ­ce rozvĂ­jenĂ˝ smAr farmakoterapie je zamAĹenna patologickĂ˝ β-amyloid (Aβ). ProbĂ­hĂĄ nAkolik klinickĂ˝ch studiĂ­ zkouĹĄejĂ­cĂ­ch monoklonĂĄlnĂ­ protilĂĄtky proti Aβ a inhibitory β-sekretĂĄz. DĂĄle sevyvĂ­jejĂ­ novĂS inhibitory cholinesterĂĄz, inhibitory monoaminooxidĂĄz, imunoterapie proti tau proteinu, lĂĄtky ovlivĹujĂ­cĂ­ serotoninovĂS a nikotinovĂSreceptory, antioxidanty a jinĂS.
Globally stable rigid formation control for multi-robot systems

A globally stable formation control strategy that drives multi-robot systems to a desired rigid formation is proposed in this paper. The proposed control law is based on the adaptive perturbation method, and it can guarantee that the equilibrium set of the overall system is unique, which is exactly the desired formation set. Simulation results are provided to illustrate the effectiveness of the control algorithm.
Baclofen-induced block of the Hering-Breuer expiratory-promoting reflex in rats.

Baclofen, a gamma-aminobutyric acid (GABA) agonist acting on GABAB receptors, has profound effects on respiratory function. We tested a hypothesis that GABAB receptors are involved in modulation of the respiratory reflexes mediated by pulmonary slowly adapting stretch receptors. Urethane-anesthetized (1.2-1.6 g/kg; i.p.) Wistar rats with body weight 230-320 g were breathing room air supplemented with oxygen. The gas mixture was applied to the T-shaped tracheal cannula at a flow rate of 1.5 L/min. The head of the animals was mounted in a stereotaxic apparatus, and the medulla was exposed. We recorded integrated diaphragmatic EMG (Di) and tracheal and arterial blood pressures. Injections of 100 nL of saline into the nucleus tractus solitarii (NTS) preceded injections of 60 or 110 pmol baclofen in group 1 (n = 14), and 2.8 nmol CGP 35348, a GABAB receptor antagonist, in group 2 (n = 5). Saline had no effects on baseline Di. Occlusion of the tracheal cannula caused an increase in tracheal pressure to 8 cmH2O (1 cmH2O = 98.1 Pa) and provoked a prolongation of expiration (the Hering-Breuer expiratory-promoting reflex) in all drug-free rats. Baclofen abolished the Hering-Breuer reflex in all rats. CGP 35348 reversed the block of the reflex. In group 2, CGP 35348 prevented the effects of baclofen, and alone did not affect respiration. These results support our hypothesis and suggest that GABAB receptors are present on the medullary pathway of slowly adapting mechanoreceptor input. However, GABAB receptors in the rat NTS may not be involved in modulation of the fundamental respiratory function.
The use of a new breath-actuated inhaler by patients with severe airflow obstruction.

The ability of patients with severe airflow limitation (forced expiratory volume in one second less than 1.0 l or peak expiratory flow rate less than 200 l.min.1) to use a new breath-actuated inhaler (BAI) was assessed. One hundred and fifty six patients attending two respiratory units entered and completed the study. Subjects were instructed how to use the device and after attempting to trigger the BAI had flow-volume loops measured. One hundred and fifty one (97%) were able to actuate the inhaler on their first (146) or second (5) attempt. The five unsuccessful patients did not have the most severe airways obstruction. It is concluded that this new device, which is actuated at low inspiratory flow rates, can be used by patients with severe airflow limitation and represents an important advance in inhaler technology.
Application of mercury isotopes for tracing trophic transfer and internal distribution of mercury in marine fish feeding experiments

Feeding experiments were performed to investigate mercury (Hg) isotope fractionation during trophic transfer and internal distribution of total Hg (THg) in marine fish on exposure to natural seafood. Young‐of‐the‐year amberjack (Seriola dumerili) were fed with either blackfin tuna (Thunnus atlanticus; 2647 ng/g THg) or brown shrimp (Farfantepenaeus aztecus; 25.1 ng/g THg) for 80 d or 50 d, respectively, and dissected for muscle, liver, kidney, brain, and blood. After 30 d of tuna consumption, Hg isotopes (δ202Hg and Δ199Hg) of the amberjack organs shifted to the tuna value (δ202Hg = 0.55‰, Δ199Hg = 1.54‰,), demonstrating the absence of Hg isotope fractionation. When amberjack were fed a shrimp diet, there was an initial mixing of the amberjack organs toward the shrimp value (δ202Hg = −0.48‰, Δ199Hg = 0.32‰), followed by a cessation of further shifts in Δ199Hg and a small shift in δ202Hg. The failure of Δ199Hg to reach the shrimp value can be attributed to a reduction in Hg bioaccumulation from shrimp resulting from feeding inhibition and the δ202Hg shift can be attributed to a small internal fractionation during excretion. Given that the feeding rate and Hg concentration of the diet can influence internal Hg isotope distribution, these parameters must be considered in biosentinel fish studies. Environ Toxicol Chem 2013;32:2322–2330. © 2013 SETAC