Miracle-dz/UniFAR-FTUs huggingface dataset:
Radar Based Adaptive Cruise Control

1Department of Automotive Electronics, VIT University, Vellore – 632014, India. 2Department of Automotive Electronics, VIT University, Vellore – 632014, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Since 1980s, it has been a trend to develop a Collision Avoidance system (CAS). Today autonomous vehicles are a trending topic. For ADAS improvement of Collision Avoidance device is wanted. Development of CAS were for 2 years. There are many complex Collision Avoidance algorithms needed to avoid collision into infrastructure of vehicle. Many are of the complex product of AVs need of integration of other components in vehicle to avoid the implementation of new components. One of such products designed by Opel Vectra i.e. Adaptive Cruise Control (ACC). Adaptation of this algorithm helped to reduce the accidents. In this paper we will discuss about challenging scenario, detail hardware and algorithm, system integration issues, actual road test results, development of ATI intelligent vehicle and about benefits for using ACC to driver.
Delay in Recruitment: Evidence from a Developing Country

This research aims to understand the reasons behind delays in recruitment, and how to mitigate them for efficient running of an organisation. The source of data collected for this study has been unavoidably united for those sources which are directly useful for study of this nature. Survey (online, phone and paper) research method is the type of research adopted by this study. This study made a survey which was carefully developed to show the method used in collecting the data used in the work. Information used was collected from: The staff of Company ABC. The company is marketing communication solution provider. Qualitative research methodology wass adopted in this study. The method used in collecting the information was through Structured and unstructured questionnaire. The population staffs in company ABC is 22 in number. Judgmental sampling technique was adopted in order to have a true representative of the population. 5 staff of company ABC was chosen. For the purpose of this study, the researcher has decided to make use of table for the data analysis. The occupational attainment of the respondents and their degree of awareness towards delay in recruitment were also highlighted.
Effect of copper source on phytase stability in the premix of weanling piglets

An in vitro experiment was conducted to investigate the effect of tribasic copper (Cu) chloride [TBCC, Cu2(OH)3Cl] on phytase stability in the premix of weanling piglets at different temperatures in comparison with Cu sulfate. The 225-kg 1% premixes were supplemented with phytase at 50 000 PU/kg and divided into three parts of 75 kg each. One part was supplemented with 6 mg Cu/kg as Cu sulfate (the control), and the other two parts were supplemented with 250 mg Cu/kg either as TBCC or as Cu sulfate. Either 6 or 250 mg Cu/kg is based on the complete diet of weanling piglets. The three premixes were stored at room temperature (20-25°C), natural high temperature (28-36°C), or artificial high temperature (38 ± 2°C) for 0, 10, 20, 30, or 40 days. Copper source, storage temperature and duration of storage, the interaction between Cu source and duration of storage, and the interaction between temperature and duration of storage affected (P < 0.01) phytase activities in the 1% premixes. Phytase activities in the premixes supplemented with TBCC were significantly higher (P < 0.001) than those in the premixes supplemented with CuSO4 at 10 or 20 days of storage. Phytase activities in premixes decreased (P < 0.001) exponentially with duration of storage regardless of Cu source or storage temperature. When the premixes were stored at different duration of storage, phytase activities in the premixes decreased (P < 0.001) linearly as temperature increased. The results from this study indicate that TBCC could maintain the stability of phytase in the piglet premix much more effectively than Cu sulfate regardless of temperature and storage duration.
Sodium Diethyldithiocarbamate antiparasitic activity against different Trypanosoma cruzi strains: Insights of its biological activity

Background Chagas disease is caused by the protozoan Trypanosoma cruzi, a neglected tropical disease that affects thousands of people, mainly in Latin America. The drugs currently used in therapy are toxic and have therapeutic limitations during treatment. In addition, the genetic diversity of T. cruzi represents an important variable and challenge with regard to the pathogenesis of the infection, the epidemiological profile of the cases, and the therapeutic control of the infection. Sodium diethyldithiocarbamate (DETC) is a compound of high pharmacological versatility acting as metal chelators and producing reactive oxygen species. Thus, the objective of this work is to characterize the antiparasitic action of DETC against different strains and evolutionary forms of T. cruzi, as well as the characterization of the mechanism of antiparasitic action. Methodology/Principal findings The different strains and evolutionary forms of T. cruzi were grown in LIT medium. To evaluate the antiparasitic activity of DETC, the evolutionary forms epimastigote and trypomastigote of T. cruzi were used by resazurin reduction methods and by counting under optical microscopy. Different response patterns were obtained between the strains and an IC50 of DETC ranging from 9.44 ± 3,181µM to 60.49 ± 7.62 µM. Cell cytotoxicity against cell lines 3T3 and RAW and evaluated by MTT, demonstrated that DETC in high concentration (2222 µM) reduces around 60% the cell capacity of MTT reduction. The antiparasitic activity of DETC has been demonstrated through damage caused in the mitochondria of T. cruzi, a reduction of up to 80% in the mitochondrial potential of the parasites, as well as through damage caused in the membrane of the parasite. Conclusion In this study we can conclude that DETC has antiparasitic activity against different genotypes and evolutionary forms of T. cruzi, representing a promising molecule as a drug for the treatment of Chagas disease.
Inflammation Drives Alternative First Exon usage to Regulate Immune Genes including a Novel Iron Regulated Isoform of Aim2

Determining the layers of gene regulation within the innate immune response is critical to our understanding of the cellular responses to infection and dysregulation in disease. We identified a conserved mechanism of gene regulation in human and mouse via changes in alternative first exon (AFE) usage following inflammation, resulting in changes to isoform usage. Of these AFE events, we identified 50 unannotated transcription start sites (TSS) in mice using Oxford Nanopore native RNA sequencing, one of which is the cytosolic receptor for dsDNA and known inflammatory inducible gene, Aim2. We show that this unannotated AFE isoform of Aim2 is the predominant isoform transcribed during inflammation and contains an iron-responsive element in its 5′UTR enabling mRNA translation to be regulated by iron levels. This work highlights the importance of examining alternative isoform changes and translational regulation in the innate immune response and uncovers novel regulatory mechanisms of Aim2. Summary Sentence Alternative first exon usage was the major splicing event observed in macrophages during inflammation, which resulted in the elucidation of a novel isoform and iron mediated regulatory mechanism of the protein coding gene, Aim2.
BAZ2A association with H3K14ac is required for the dedifferentiation of prostate cancer cells into a cancer stem-like state

Prostate cancer (PCa) is one of the most prevalent cancers in men. Cancer stem cells are thought to be associated with PCa relapse and represent a target against metastatic PCa. Here we show that BAZ2A (also known as TIP5), a factor previously implicated in aggressive PCa, is required for the dedifferentiation of PCa cells into a cancer stem-like state. We found that BAZ2A genomic occupancy in PCa cells coincides with H3K14ac enriched chromatin regions. This association is mediated by BAZ2A bromodomain (BAZ2A-BRD) that specifically binds to H3K14ac. In PCa cells, BAZ2A-BRD is required for the interaction with a class of inactive enhancers that are marked by H3K14ac and represses transcription of genes implicated in developmental and differentiation processes that are frequently silenced in aggressive and dedifferentiated PCa. BAZ2A-mediated repression of these genes is also linked to the histone acetyltransferase EP300 that acetylates H3K14ac. Mutations of BAZ2A-BRD or treatment with chemical probes that abrogate BAZ2A-BRD association with H3K14ac impair the dedifferentiation of PCa cells into a stem-like state. Furthermore, pharmacological inactivation of BAZ2A-BRD impairs the oncogenic transformation mediated by Pten-loss in prostate organoids. Our findings indicate a role of BAZ2A-BRD in PCa stem cell features and suggest potential epigenetic-reader therapeutic strategies to target BAZ2A in aggressive PCa.
Statistical prediction of the future impairs episodic encoding of the present

Significance We use memory to recall the past and make predictions about the future. However, these functions can conflict: Recalling a past experience involves returning to a specific moment in time, but this exact experience will never occur again because the world and observer have changed. Rather, it is often adaptive to focus on aspects of the world that repeat across experiences and are likely to generalize. Encoding individual experiences (episodic memory) and extracting regularities across experiences (statistical learning) require fundamentally different kinds of learning, yet both have been linked to the same brain region, the hippocampus. Here we reveal the consequence of this codependence: Predicting what comes next from statistical learning prevents encoding of the current experience into episodic memory. Memory is typically thought of as enabling reminiscence about past experiences. However, memory also informs and guides processing of future experiences. These two functions of memory are often at odds: Remembering specific experiences from the past requires storing idiosyncratic properties that define particular moments in space and time, but by definition such properties will not be shared with similar situations in the future and thus may not be applicable to future situations. We discovered that, when faced with this conflict, the brain prioritizes prediction over encoding. Behavioral tests of recognition and source recall showed that items allowing for prediction of what will appear next based on learned regularities were less likely to be encoded into memory. Brain imaging revealed that the hippocampus was responsible for this interference between statistical learning and episodic memory. The more that the hippocampus predicted the category of an upcoming item, the worse the current item was encoded. This competition may serve an adaptive purpose, focusing encoding on experiences for which we do not yet have a predictive model.
CGMTSA: An R package for continuous glucose monitoring time series data analysis

The R package CGMTSA was developed to facilitate investigations that examine the continuous glucose monitoring (CGM) data as a time series. Accordingly, novel time series functions were introduced to: 1) enable more accurate missing data imputation and outlier identification; 2) calculate recommended CGM metrics as well as key time series parameters; 3) plot interactive and 3D graphs that allow direct visualizations of temporal CGM data and time series model optimization. The software was designed to accommodate all popular CGM devices and support all common data processing steps.
MODELING OF PULSE-COUPLED NEUROHARDWARE USING SIMULINK©

: Using Simulink© tool, the Complementary MOS (CMOS) modeling of Pulse-Coupled Neural Network is demonstrated. Compact architectures for computing XOR and Parity functions without the need for weight learning are explained. Any N-bit parity function can be simulated with N hidden layer neuron, by the conventional method. As N increases, the network size grows and becomes complex for Very Large Scale of Integration realization. So, the fully connected networks are tried, which needs only N/2 neurons in the hidden layer. The architectures are claimed to be suitable for hardware implementation, since the majority of weights are equal to +1 that obviates the need for multiplier. Finally the network is configured to solve Character Recognition application. It also exhibited a satisfactory performance accepting 10% noisy patterns.
Effects of Particle Size on the Ignition of Static CH4/Air and H2/Air Mixtures by Hot Particles

ABSTRACT Understanding and characterizing the non-homogenous ignition of flammable mixtures by hot particles are important for industry safety. In this study, one-dimensional transient simulations considering detailed chemistry and transport are conducted for the ignition of static methane/air and hydrogen/air mixtures by hot particles with different radii. The objective is to assess the effects of particle size on the ignition delay time for the hot particle-induced ignition process. Unlike the nearly homogenous ignition in shock tubes or rapid compression machines, the non-homogeneous ignition caused by a hot particle depends on not only chemical kinetics but also transport of reactive species. It is found that 1D hot particle ignition is much slower than the 0D homogenous ignition (in which the mixture temperature is the same as the fixed particle temperature) since there is radical loss near the particle surface caused by mass diffusion. The ignition delay time for hot particle ignition is found to strongly depend on the particle radius and temperature. This is interpreted through the change of radical loss with particle radius and temperature. Moreover, to characterize the hot particle ignition, we introduce a Damköhler number which is the ratio between two characteristic times for chemical reaction and mass diffusion. The change of the normalized ignition delay time for 1D hot particle with the Damköhler number is discussed; and a linear relationship is observed for certain conditions.
Oscillatory γ-Band (30–70 Hz) Activity Induced by a Visual Search Task in Humans

The coherent representation of an object in the visual system has been suggested to be achieved by the synchronization in the γ-band (30–70 Hz) of a distributed neuronal assembly. Here we measure variations of high-frequency activity on the human scalp. The experiment is designed to allow the comparison of two different perceptions of the same picture. In the first condition, an apparently meaningless picture that contained a hidden Dalmatian, a neutral stimulus, and a target stimulus (twirled blobs) are presented. After the subject has been trained to perceive the hidden dog and its mirror image, the second part of the recordings is performed (condition 2). The same neutral stimulus is presented, intermixed with the picture of the dog and its mirror image (target stimulus). Early (95 msec) phase-locked (or stimulus-locked) γ-band oscillations do not vary with stimulus type but can be subdivided into an anterior component (38 Hz) and a posterior component (35 Hz). Non-phase-locked γ-band oscillations appear with a latency jitter around 280 msec after stimulus onset and disappear in averaged data. They increase in amplitude in response to both target stimuli. They also globally increase in the second condition compared with the first one. It is suggested that this γ-band energy increase reflects both bottom-up (binding of elementary features) and top-down (search for the hidden dog) activation of the same neural assembly coding for the Dalmatian. The relationships between high- and low-frequency components of the response are discussed, and a possible functional role of each component is suggested.
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks

Traffic prediction is a classical spatial-temporal prediction problem with many real-world applications such as intelligent route planning, dynamic traffic management, and smart location-based applications. Due to the high nonlinearity and complexity of traffic data, deep learning approaches have attracted much interest in recent years. However, few methods are satisfied with both long and short-term prediction tasks. Target at the shortcomings of existing studies, in this paper, we propose a novel deep learning framework called Long Short-term Graph Convolutional Networks (LSGCN) to tackle both traffic prediction tasks. In our framework, we propose a new graph attention network called cosAtt, and integrate both cosAtt and graph convolution networks (GCN) into a spatial gated block. By the spatial gated block and gated linear units convolution (GLU), LSGCN can efficiently capture complex spatial-temporal features and obtain stable prediction results. Experiments with three real-world traffic datasets verify the effectiveness of LSGCN.
The interpretation of genotypic ratios in domestic animal populations

If, from a population, samples of individuals are drawn with a small number of parents, it is shown that there will be on average an apparent excess of heterozygotes above the number calculated from the gene frequency in each sample. The apparent proportional excess is where M and F are the number of male and female parents. This is independent of the number of alleles at the locus concerned. The use of the usual significance tests will also be affected. If analyses are done within herds of domestic livestock, particularly cattle, the number of sires in use at any time is likely to lead to a bias of a size which is of biological importance. The conditions under which genotypic ratios can usefully be examined are discussed.
Amino Acid Content of Zooxanthellae Freshly Isolated from Pocillopora damicornis

Total amino-N content and glutamine to glutamate ratios (gin: glu) were determined in zooxanthellae freshly isolated from colonies of the coral Pocillopora damicornis (Linnaeus) incubated in ambient seawater orin seawater supplemented with ammonium to give a final concentration of 20 or 50 J.lM. Addition of ammonium did not change total amino-N content but did increase gin: glu from 0.25 to 0.47-0.48, suggesting that ammonium was di­ rectly utilized by the symbiotic zooxanthellae. Gin: glu in zooxanthellae from corals maintained in seawater "stripped" of ammonium fell to 0.18. Sizes of pools of most free amino acids in zooxanthellae from P. damicornis were roughly two to five times those of zooxanthellae from the temperate sea anenome Anemonia viridis, but the latter, which is not believed to be N-limited, exhibited higher gin: glu ratios. These data indicate that gin: glu is a sensitive measure of the response of symbiotic zooxanthellae to exogenous dissolved nitrogen, but despite an increase in gin: glu when seawater is supplemented with ammonium, it cannot be concluded that individual zooxanthellae are normally N-limited. tive of nitrogen-limited metabolism, but other parameters remain to be investigated. The Hawaii Institute of Marine Biology work­ shop provided the opportunity to measure both elemental composition of zooxanthellae (Muller-Parker et al. 1994a) and size and composition of zooxanthellar amino acid pools.
Oxcarbazepine monotherapy in children with benign epilepsy with centrotemporal spikes improves quality of life

Abstract Background Benign epilepsy with centrotemporal spikes (BECTS) is the most common type of childhood idiopathic focal epilepsy. BECTS is associated with pervasive cognitive deficits and behavior problems. While seizures can be easily controlled, it is crucial to select anti-epileptic drugs that do not impair cognition, do not cause psychosocial effects, and improve the quality of life. Previous studies showed effects of oxcarbazepine (OXC) monotherapy on the cognitive and psychosocial profiles of patients with BECTS. Here, we studied the effects of OXC monotherapy on the neuropsychologic profiles and quality of life in patients with BECTS in China. Methods Thirty-one patients aged 6 to 12 years newly diagnosed with BECTS were recruited. A psychometric assessment was performed before and during the follow-up of OXC monotherapy with Cognitive Computerized Task Battery, Depression Self-Rating Scale for children, Screen for Child Anxiety Related Emotional Disorders, and Quality of Life in Epilepsy-31 (QOLIE-31). The results of the assessments were compared to explore the effect of OXC monotherapy in patients with BECTS. Results Thirty children with BECTS completed the study. Five of ten cognitive test scores improved after treatment via OXC monotherapy, including visual tracing (F = 14.480, P < 0.001), paired associated learning (language) (F = 6.292, P < 0.001), paired associated learning (number) (F = 9.721, P < 0.05), word semantic (F = 6.003, P < 0.05), and simple subtraction (F = 6.229, P < 0.05). Of the neuropsychology data concerning the quality of life, statistically significant improvements were observed in emotion (F = 4.946, P < 0.05), QOLIE-social (F = 5.912, P < 0.05), and QOLIE-total (F = 14.161, P < 0.001). Conclusions OXC is safe and does not impair neuropsychologic functions, with no obvious mood burden on children with BECTS. Most importantly, OXC has positive impacts on children's perception of quality of life, especially in terms of happiness and life satisfaction.
The Influence of Ideological Variables in the Denial of Violence Against Women: The Role of Sexism and Social Dominance Orientation in the Spanish Context

Violence against women in heterosexual intimate relationships is a major social problem with serious physical and psychological consequences for the victims. There is a line of research that seeks to analyze how ideological variables and contextual variables influence the way in which this type of violence is perceived. This study analyzed the relationship between hostile sexism, benevolent sexism and social dominance in the acceptance of the myths about violence against women in intimate relationships. A total of 215 Spanish university students (125 women and 90 men) participated in the research. The results indicate that hostile sexism and social dominance orientation act as factors that influence the acceptance of such myths in men. Benevolent sexism did not act in this way. The data reconfirm the importance of hostile sexism and social dominance orientation in the perception of violence against women, in this case, that which is committed by their partners (or ex-partners) in the area of intimate relationships.
Tumor-Targeting Peptides: The Functional Screen of Glioblastoma Homing Peptides to the Target Protein FABP3 (MDGI)

We recently identified the glioblastoma homing peptide CooP (CGLSGLGVA) using in vivo phage display screen. The mammary-derived growth inhibitor (MDGI/FABP3) was identified as its interacting partner. Here, we present an alanine scan of A-CooP to investigate the contribution of each amino acid residue to the binding to FABP3 by microscale thermophoresis (MST) and surface plasmon resonance (SPR). We also tested the binding affinity of the A-CooP-K, KA-CooP, and retro-inverso A-CooP analogues to the recombinant FABP3. According to the MST analysis, A-CooP showed micromolar (KD = 2.18 µM) affinity to FABP3. Alanine replacement of most of the amino acids did not affect peptide affinity to FABP3. The A-CooP-K variant showed superior binding affinity, while A-[Ala5]CooP and A-[Ala7]CooP, both replacing a glycine residue with alanine, showed negligible binding to FABP3. These results were corroborated in vitro and in vivo using glioblastoma models. Both A-CooP-K and A-CooP showed excellent binding in vitro and homing in vivo, while A-[Ala5]CooP and control peptides failed to bind the cells or home to the intracranial glioblastoma xenografts. These results provide insight into the FABP3–A-CooP interaction that may be important for future applications of drug conjugate design and development.