Miracle-dz/UniFAR-FTUs huggingface dataset:
A non-canonical bromodomain within DNA-PKcs promotes DNA damage response and radioresistance through recognizing an IR-induced acetyl-lysine on H2AX

Regulatory mechanisms underlying γ H2AX induction and the associated cell fate decision during DNA damage response (DDR) remain obscure. Here we discover a bromodomain (BRD)-like module in DNA-PKcs (DNA-PKcs-BRD) that specifically recognize H2AX acetyl-lysine 5 (K5ac) for sequential induction of γ H2AX and concurrent cell fate(s). First, top-down mass spectrometry of radiation-phenotypic, full-length H2AX revealed a radiation-inducible, K5ac-dependent induction of γ H2AX. Combined approaches of sequence-structure modeling/docking, site-directed mutagenesis, and biochemical experiments illustrated that through docking on H2AX K5ac, this non-canonical BRD determines not only the H2AX-targeting activity of DNA-PKcs but also the over-activation of DNA-PKcs in radio-resistant tumor cells whereas a Kac antagonist JQ1 could bind to DNA-PKcs-BRD, leading to re-sensitization of tumor cells to radiation. This study elucidates the mechanism underlying the H2AX-dependent regulation of DNA-PKcs in IR-induced, differential DDR, and derives an unconventional, non-catalytic-domain target in DNA-PKs for overcoming resistance during cancer radiotherapy. Exogenous Tip60 triggered greater simultaneous increases of K5ac and γ Ser139 on H2AX in non-irradiated HeLa cells. HeLa cells without or with FLAG-Tip60 transfection were subjected to radiation and IB with indicated antibody. H2AX was used as the loading control. PKcs-BRD homology models. To select the best region that could form BRD in DNA-PKcs, docking studies were performed on all possible models.
Contour Model and Robust Segmentation based Human Pose Estimation in Images and Videos

Pose estimation which is regard as the cross-technology of computer vision and pattern recognition, and an important prerequisite for human behavior understanding. Human pose estimation which use the probability theory, machine learning, pattern recognition, graph theory and other theories to get the position, the deflection angle of the various parts of the body. Then make the detection and estimation parameters for the human body pose. When the image has interference in the background, color and scale changed, human pose complex, self-occlusion and interpersonal interaction occlusion may make the precision and accuracy of pose estimation face great challenge. Thus, according to the above problems, this paper use the advanced model of the human body as contour model to descript the complex pose, in order to make the model more accurate and suitable for various human pose, we preclustering the human body pose of the training samples before we trained the model and in order to ensure the accuracy of the pose we use robust segmentation of multi-view with a novel shape prior. The experiment shows that the algorithm performs better than the classic algorithm on the public datasets.
Radionuclide Cisternography Compared with Contrast-Enhanced CT and Evaluation of CSF Leaks: High-Resolution CT

BACKGROUND AND PURPOSE: Radiologic evaluation of CSF leaks is a diagnostic challenge that often involves multiple imaging studies with the associated expense and patient discomfort. We evaluated the use of screening noncontrast high-resolution CT in identifying the presence and site of CSF rhinorrhea and otorrhea and compared it with contrast-enhanced CT cisternography and radionuclide cisternography. METHODS: We retrospectively reviewed the imaging studies and medical records of all patients who were evaluated for CSF leak during a 7-year period. Forty-two patients with rhinorrhea and/or otorrhea underwent high-resolution CT of the face or temporal bone and then had CT cisternography and radionuclide cisternography via lumbar puncture. The results of the three studies were compared and correlated with the surgical ﬁndings in 21 patients. RESULTS: High-resolution CT showed bone defects in 30 of 42 patients (71%) with CSF leak. High-resolution, radionuclide cisternography and CT cisternography did not show bone defects or CSF leak for 12 patients (29%) who had clinical evidence of CSF leak. Among the 30 patients with bone defects, 20 (66%) had positive results of their radionuclide cisternography and/or CT cisternography. For the 21 patients who underwent surgical exploration and repair, intraoperative ﬁndings correlated with the defects revealed by high-resolution CT in all cases. High-resolution CT identiﬁed signiﬁcantly more patients with CSF leak than did radionuclide cisternography and CT cisternography, with a moderate degree of agreement. CONCLUSION: Noncontrast high-resolution CT showed a defect in 70% of the patients with CSF leak. No radionuclide cisternography or CT cisternography study produced positive re-sults without previous visualization of a defect on high-resolution CT. CT cisternography and radionuclide
La radio que viene: ¿Hay alguien ahí?

Que el modelo analogico de la radio actual esta agotado, es algo que ya nadie duda, sin embargo, las alternativas digitales al modelo actual (DAB, DRM) distan mucho del exito previsto y los paises de nuestro entorno no se ponente de acuerdo en una tecnologia comun. La actual crisis economica y la caida de la inversion publicitaria no presagian buenos tiempos para los cambios a corto plazo. Paralelamente, Internet esta ocupando un espacio entre los publicos mas jovenes, que hace apenas un par de anos hubiera sido impensable y que unido a dispositivos multimedia, han convertido palabras como Chat, foro, radio "a la carta", podcasts o redes sociales, en el centro de sus conversaciones , comentando contenidos y creando grupos de opinion.Los nuevos oyentes ya no llevan un equipo de radio, llevan unos reproductores multimedia con los que escuchan radio pero no nuestra radio. Ellos son los clientes del presente y del futuro y para ellos deberiamos pensar la nueva radio. Solo asi podriamos responder afirmativamente a nuestra pregunta: ? Hay alguien ahi?
Composição florística e distribuição vertical de epífitas vasculares sobre indivíduos de Guapira opposita (Vell.) Reitz (Nyctaginaceae) em um fragmento florestal na Serra da Brígida, Ouro Preto, MG.

Ten percent of all vascular plants are epiphytes and they play an important role in the flora and ecology of the tropical rain forests. Considering a few studies which have been performed in relatively dry habitats such as seasonal forests, the aim of this study was to analyze the richness, abundance and vertical distribution pattern of the epiphytic community on individuals of Guapira opposita (Vell.) Reitz, in a seasonal semideciduous forest fragment, in Parque Natural Municipal das Andorinhas, southeastern Brazil. All the vascular epiphytes growing on host trees were recorded. The phorophytes were divided into three strata (stem, inner and outer crown). In each host tree, scores were given for the occurring epiphytic species according to its abundance. In this survey 332 phorophytes were sampled on which 35 epiphytic species belonging to nine families and 28 genera were recorded. The richest families were Polypodiaceae (10 species), Orchidaceae (eight species) and Bromeliaceae (seven species). Microgramma squamulosa (Kaulf.) de la Sota was the species with highest value of importance in the survey. The most numerous ecological categories were facultative holoepiphytes with 18 species. Richness and abundance of epiphytic species per phorophyte showed significant and positive relationships to phorophyte perimeter. The epiphytic species occurrence was not significantly different among strata.
A FRAMEWORK FOR PREDICTION BANKING RISK USING MACHINE LEARNING TECHNIQUES

One of the main challenges facing the banks is to determine the proper bank liquidity. Risk differs widely from bank to bank, and a Careful understanding of various risk factors assists predict the likelihood of expected liquidity based on historical data, Real-world datasets often have missing values, which can cause bias in results. the most widely adopted method for dealing with missing data is to delete observations having missing values, these methods have the disadvantages represented in loss of precision and biased. The purpose of this study is to forecast banks' liquidity risk. We also present a method for dealing with missing data using powerful machine learning methods. we Used available datasets through Kaggle there are 350 cases and 19 characteristics in this dataset. SPSS and the WEKA tool were used to analyze the data. ROC and accuracy were used to assess and compare three classification models (Decision Tree, Support Vector Machine (SVM), and random forest ). Results showed that the model obtained acceptably, results The 66-fold( 97.47, 97.47, 97.47) respectively (DT, SVM, RF) the best accuracy among from 10-fold.
Novel Urban Ecosystems: Concepts, Definitions and a Strategy to Support Urban Sustainability and Resilience

the 21st century is already known for unprecedented and fundamental changes and new trajectories — think climate change, global economics, migration and population growth. the world is now predominantly urban and will become increasingly so until mid-century when global population is expected to stabilize at around 70% urban. the world has entered a new geological era, the Anthropocene, in which the impacts and artifacts of humans are recognized as a geologic force. in this “century of the city,” for the world to be sustainable and resilient, cities must be an essential part of the solution — and novel urban ecosystems will play a fundamental role. A new conception, definition, and typology of 21st century “novel” urban nature is proposed here as the basis for a novel urban ecosystem strategy to provide essential ecosystem services to support urban sustainability and resilience. this proposed novel nature strategy is informed by landscape and urban ecology and collaborates systematically in “designed experiments” with urban landscape architecture practice. designed experiments on novel urban ecosystem are necessary to: 1) monitor the performance of innovative designs to provide essential ecosystem services; 2) to mitigate the inescapable ecosystem disservices; and 3) to build public understanding and support for new types and new models of novel urban ecosystems.
Localized Squeeze and Excitation Block

In this article a new technique called Localized Squeeze and Excitation (LSE) Block is proposed. Using proposed LSE-block one can extract core features from the images in the early stage, which results in smaller deep neural network with much less number of parameters; results in less computation time. By using our proposed technique one can reduce the size of any large deep neural network model. For experimentation the model named ResNet-50 is selected and it is shown that how ResNet-50 can be converted into a smaller neural network by using our proposed technique with better accuracy and less processing time. This work is evaluated on the Breast Cancer Histopathological Image Dataset, both for binary and multi-class problems.
Molecular identi�cation and characterization of hevein antimicrobial peptide genes in barley (Hordeum vulgare L.)

Heveins are one of the most important groups of plant antimicrobial peptides. So far, various roles in plant growth and development and in response to biotic and abiotic stresses have reported for heveins. The present study aimed to identify and characterize the hevein genes in barley. In total, thirteen hevein genes identi�ed in barley genome. The identi�ed heveins showed a high similarity with heveins from other plant species in terms of structural and functional characteristics. The hevein coding sequences produced open reading frames (ORFs) ranged from 342 to 1002 bp. Most of the identi�ed hevein genes were intronless, and the others had only one intron. The hevein ORFs produced proteins ranged from 113 to 333 amino acids. Search for conserved functional domains showed ChtBD1 and Lyz-like domains in barley heveins. All barley heveins comprised extracellular signal peptides ranged from 19 to 35 amino acids. The phylogenetic analysis divided barley heveins into two groups. The promoter analysis identi�ed cis-acting elements related to growth and development, hormone response, and environmental stresses in the promoter of barley hevein genes. The expression analysis showed high expression level of heveins in root and reproductive organs of barley. The expression analysis also showed that barley heveins is induced by both biotic and abiotic stresses. The results of antimicrobial activity prediction showed the highest antimicrobial activity in ChtBD1 domain of barley heveins. The �ndings of the current study can improve our knowledge about the role of hevein genes in plant and can be used for future studies.
Metabolism of the Psychotomimetic Tryptamine Derivative 5-methoxy- N,n-diisopropyltryptamine in Humans: Identification and Quantification of Its Urinary Metabolites Ylation to Form 5-hydroxy-n,n-diisopropyltryptamine (5-oh-dipt), Which Would Be Partly Conjugated to Its Sulfate and Glucuronide; 2) Di

The urinary metabolites of 5-methoxy-N,N-diisopropyltryptamine (5-MeO-DIPT) in humans have been investigated by analyzing urine specimens from its users. For the unequivocal identification and accurate quantification of its major metabolites, careful analyses were conducted by gas chromatography/mass spectrometry, liquid chromatography/mass spectrometry, and liquid chromatography tandem mass spectrometry, using authentic standards of each metabolite synthesized. Three major metabolic pathways were revealed as follows: 1) side chain degradation by O-demeth-5-Methoxy-N,N-diisopropyltryptamine (5-MeO-DIPT) is a tryptamine derivative that possesses, in its chemical structure, the critical features necessary for hallucinogen/stimulant activity; substitutions on the indole ring and the ethylamine side chain of tryptamine result in a pharmacologically active substance (Fig. 1). Shulgin and Carter (1980) synthesized 5-MeO-DIPT and reported its hallucino-genic activity when administered orally. It produces pharmacological effects similar to those of other Schedule I hallucinogens such as dimethyltryptamine (DMT) (Shulgin and Carter, 1980). It is often used orally at a dosage ranging from 6 to 20 mg, and is sometimes taken through the routes of smoking and snorting. Oral administration of 6 to 10 mg of 5-MeO-DIPT produces subjective effects with an onset at about 20 to 30 min, a peak at about 1 to 1.5 h, and a duration of about 3 to 6 h (DEA, 2003). Also, 5-MeO-DIPT causes mydriasis, and high dosages produce nausea, jaw clenching, muscle tension, and overt hallucinations with both auditory and visual distortions. The abuse problem of 5-MeO-DIPT first emerged in 2001 in the United States (DEA, 2001), and then in the same year in Japan (Katagi et al., 2002), and, since then, in various other countries. 5-MeO-DIPT has often been sold under the name " Foxy " or " Foxy Methoxy, " in tablet and capsule forms, which is often used in raves (lively parties involving dancing and drinking). Because this drug is easily available through the Internet, its use has been extensively and rapidly spreading , especially among teenagers and young adults. Because of its escalating popularity and potent physiological effects, increasing numbers of acute poisoning cases (e.g., its overdose) have been reported. Although research on the metabolism of 5-methoxy-N,N-dimethyl-tryptamine (5-MeO-DMT) in mammals (Sitaram et al., 1987) provides some useful information for analyzing 5-MeO-DIPT metabo-lites in human body fluids, only a few data have been reported for its metabolism in humans. Recently, " tentative identification " of several metabolites in humans, but without using authentic standards, was reported (Meatherall and Sharma, 2003; Wilson et al., …
COMPARATIVE ANALYSIS OF MAXIMUM POWER POINT TRACKING METHOD USING SLIDING MODE AND P&O CONTROLLERS

The power delivered by a solar photovoltaic generator (PVG) strongly depends on the level of irradiance G, temperature T of cells, total or partial shading but also the nature of the fueled load. The P PV -V PV power characteristic of the PVG has a maximum power point (MPP) corresponding to the optimal operating point. Since the position of the MPP depends on the level of irradiance and the temperature of the cells, it is never constant over time. Therefore, a control strategy is requisite to extract maximum power from solar panels under all operating conditions. The objective of this work is to design a MPPT controller based on sliding mode controller (SMC) that is applied to a buck-boost converter in order to achieve an optimal PV module output voltage. The proposed MPPT controller using SMC has been developed so that the operating point converges to the optimum operating point. The validation of the proposed controller is shown by MATLAB/SIMULINK simulation. The results confirm the effectiveness of the sliding mode control MPPT under the parameter variation environments. Moreover, a comparison analysis of the proposed SM controller and classical MPPT algorithm using Perturb-and-Observe method has been designed for the same PV power system in order to evaluate the robustness and stability against parameter uncertainties for the two proposed controllers.
The unique turret region of Kv3 channels governs the mechanism of action of highly speci�c positive allosteric modulators.

Small-molecule modulators of diverse voltage-gated K+ (Kv) channels may help treat severe neurological disorders. However, the development of selective modulators requires an understanding of their mechanism-of-action (MoA). We applied an orthogonal approach to elucidate the MoA of an imidazolidinedione derivative (AUT5), which is a highly speci�c positive allosteric modulator (PAM) of Kv3.1 and Kv3.2 channels. AUT5 modulation involves positive cooperativity and preferential stabilization of the open state. Critically, we found that the unique and highly conserved extracellular turret region of Kv3.1 and Kv3.2 essentially governs AUT5 modulation. Furthermore, leveraging on the cryo-EM structure of Kv3.1a, atomistic blind docking calculations revealed four equivalent AUT5 binding sites near the turrets and between the voltage-sensing and pore domains of the channel’s tetrameric assembly. Therefore, the unique Kv3 turret emerges as a novel structural correlate of the selective MoA of a new class of Kv3 channel PAMs with a therapeutic potential.
DEVELOPMENT OF DUAL-BAND ENCRYPTION FOR WLAN SECURITY

Nowadays there is a large amount of information that needs to be communicated securely such as military and governmental issues over WLAN for example AD HOC network. In this paper, we propose the dual-frequency band cryptography with frequency hopping technique. By implementing the proposed method, we can create a system that can be protected from harmful intentions. While numerous WLAN security techniques have been presented in previous research, to our knowledge, no similar simple and effective methodology for WLAN encryption has been previously proposed. Our invention is the creation of a new methodology based on the transmitting data and keys separately by dual-frequency band. Simulation results validate the advantage of the proposed dual-band encryption for WLAN security.
LWC: EFFICIENT LIGHTWEIGHT BLOCK CIPHERS FOR PROVIDING SECURITY TO CONSTRAINED DEVICES A SOLUTION FOR IOT DEVICES

Internet of things (IoT) is the infrastructure of global network for the information to the nation for societal use and enabling smart services by interconnecting virtual and physical devices or things based on previous, current and future technologies. IoT application is important to people yet in case the IoT system can't safeguard the customer data from software engineer, attacks, and shortcomings. Lightweight encryption is a space of a customary cryptographic estimation that is proper for resource obliged contraptions in IoT. Related work for lightweight techniques used for secure data transmission is portrayed in this paper. Security in IoT is still difficult task, to address security issues Lightweight Cryptography Techniques were introduced and to answer security aspects here the paper is going to present some techniques PRESENT, and its equivalent Methods. The term Lightweight came into picture when Lightweight wireless technology is used to run Lightweight IoT devices. Because the sensors used in IoT Devices are low power and less weight so the need of low power, less weight became reason to create Lightweight wireless technologies. This paper discusses major security challenges of IoT devices besides the performance evaluation of various Lightweight cryptographic algorithms.
A note on the regional context of the Loch Monar synform

Abstract The Loch Monar Synform folds the Sgurr Beag slide in the central northwest Highlands of Scotland. The east–west trend of the synform is oblique to the regional trend of the slide. However, when late-stage strain effects associated with superimposed folds on the synform are removed using computer techniques, the trace of the synform axial surface becomes perpendicular to the regional trace of the slide. The synform also becomes tighter and recumbent in attitude. The synform axis is parallel to strongly developed lineations. Folds of this generation appear to be localized in the vicinity of the slide. These observations suggest a model of folding associated with movement of the slide, followed by locking up of the slide and internal strain resulting in the superimposed folds and rotation of the synform.
EFFECTS OF VIRTUAL PRIVATE SOCIAL NETWORKING IN ACADEMIC PERFORMANCE OF STUDENTS

A virtual private social network (VPSN) is generated automatically amongst peers using a social media app to build ties. One of the most significant repercussions of students' excessive usage of social networking sites is a decline in their academic performance. In a study of medical students, social media and the internet were shown to harm students' academic performance and classroom attentiveness. An increasing number of studies link the use of social media to poorer academic performance, such as fewer students doing their assignments and lower test scores. Students who receive specialised training in deep learning will have the superior cognitive abilities needed to succeed in today's more cognitively demanding workplaces. It teaches children to be critical thinkers, productive members of society, and active participants in a democratic society. As a perceptron used in image recognition and processing, a convolutional neural network (CNN) processes pixel data from social networks. A CNN uses multiplayer perception to lessen the processing needs of pupils. Humans and neurons make up the VPSN-CNN network, which the article explains. Neurons generate dendrites and axons to receive and transmit signals, while humans engage with long-reaching telecommunication equipment or biological communication systems. These will help remember, learn, unlearn, and relearn what has already been learned. In courses where social networking sites were utilised in addition to traditional teaching methods, most students reported feeling more socially engaged and more positive about their educational experiences. Students' and instructors' concerns regarding the educational usage of social media are addressed with recommendations for further study and practice in better performance and accuracy for student’s data secure and comparison with existing methods.