Miracle-dz/UniFAR-FTUs huggingface dataset:
In-Silico Molecular Docking and Pharmaco-Kinetic Activity Analysis of Potential Inhibitors against SARS-CoV-2 Spike Glycoproteins

Abstract: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) is a causative agent of the potentially fatal coronavirus disease (COVID-19). Coronavirus targets the human respiratory system primarily. It can also infect the gastrointestinal, hepatic, and central nervous systems of humans, avians, bats, livestock, mice, and many other wild animals, as these are primary targets of the pathogen. This study aims to screen out the most potent inhibitor for SARS-CoV-2 (COVID-19) spike glycoproteins among the selected drugs, and computational tools have been utilized for this purpose. The selected drugs have been designed to explore their structural properties in this study by molecular orbital calculation. To inhibit the spike glycoproteins, the performance of these drugs was also examined by molecular docking calculation. In improving the performance of drugs, non-bond interactions play a significant role. To determine the chemical reactivity of all the medicines, HOMO and LUMO energy values were also calculated. The combined calculations exhibited that Ledipasvir among the selected drugs can be the most potent drug to treat SARS-CoV-2 compared to other medications.
DEATH RECEPTOR MEDIATED CELLULAR APOPTOSIS: A MECHANISM BASED REVIEW

The term “apoptosis” represents spontaneous single cell death, with specific biochemical and morphological features. Various cellular stresses can initiate apoptosis by the activation of receptors such as Tumor Necrosis Factor Receptor (TNFR), Fas receptor etc. Various ligands that are associated with these receptors include growth factors, anti cancer agents and some other chemotherapeutic agents, ionizing radiations, Fas ligand etc. Association of these ligands with their respective receptors may relay the signals to the catalytic site to release the second messengers there by initiate apoptosis and cellular death can triggers. Cellular apoptosis and cellular death may also occur as a defense mechanism such as in immune reactions or when cells are damaged by disease or noxious agents. Fas-associated protein with death domain not only contains a death domain but also contain a Death Effector Domain (DED) that binds to an analogous domain repeated in cycle within the zymogen form of Caspase-8. Fas ligand binds with Fas-associated protein with death domain (FADDs). The complex of Fas receptor, fasassociated protein with death domain and Caspase-8 are called the Death Inducing Signaling Complex (DISC). Activation of Caspase-8 in turn activates downstream caspases committing the cell to apoptosis. In this review, we have tried to summarize the molecular basis of cellular apoptosis and cellular death via different signal transduction pathways.
Deep Embeddings and Section Fusion Improve Music Segmentation

Music segmentation algorithms identify the structure of a music recording by automatically dividing it into sections and determining which sections repeat and when. Since the desired granularity of the sections may vary by application, multi-level segmentation produces several levels of segmentation ordered by granularity from one section (the whole song) up to N unique sections, and has proven to be a challenging MIR task. In this work we propose a multi-level segmentation method that leverages deep audio embeddings learned via other tasks. Our approach builds on an existing multi-level segmentation algorithm, replacing manually engineered features with deep embeddings learned through audio classiﬁcation problems where data are abundant. Additionally, we propose a novel section fusion algorithm that leverages the multi-level segmentation to consolidate short segments at each level in a way that is consistent with the segmentations at lower levels. Through a series of experiments we show that replacing handcrafted features with deep embeddings can lead to signiﬁcant improvements in multi-level music segmentation performance, and that section fusion further improves the results by cleaning up spurious short sections. We compare our approach to two strong baselines and show that it yields state-of-the-art results.
A Lagrangian approach to transport of momentum and biomass in aquatic biological systems

In recent years, a Lagrangian Coherent Structures (LCS) method was developed to identify boundaries between distinct kinematic regions in unsteady flows. Many fluid transport processes can be described in terms of these kinematic boundaries in the flow. The method has since been applied to many engineering, biological, and geological fluid systems, but primarily on transport of homogenous fluid mass. In this thesis, with emphases on aquatic biological transport systems, the LCS analysis is further developed to study momentum transport in animal locomotion and biomass transport in animal predation. Three independent studies are included in this thesis. In the first study, LCS analysis is used to identify the boundary of the vortex attached to the fin in sunfish pectoral fin locomotion. A potential flow, deformable body theory is used to describe the dynamics of the vortex. The hydrodynamic forces acting on the fin are evaluated from the linear momentum of the vortex itself and its added-mass. The quantification of instantaneous locomotive forces provides necessary information for studying complicated locomotive behaviors such as motion control and maneuvers. In the second study, the LCS analysis is applied to a numerically simulated undulatory swimming and shows existence of 'upstream fluid structures' that are invisible in Eulerian velocity/vorticity fields. These structures indicate the exact portion of fluid that interacts with the swimmer. A mass flow rate and a momentum flux are then defined. A metric for propulsive efficiency is established using the momentum flux, which can be used to measure and compare the efficiency of other engineering and natural propulsion systems. In the third study, a framework is developed to study transport of zooplankton prey in the feeding currents generated by a predator jellyfish. An equation of motion is proposed to describe the dynamics of prey in the flow. Then the concept of particle Lagrangian Coherent Structures (pLCS) is introduced to separate prey encounter regions from prey escape regions. The framework provides a mechanical basis for evaluating the predatory role of medusae in marine planktonic ecosystems. It can also be used to study transport and mixing in multiphase and granular flows in general.
RHAZES: Green and Applied Chemistry

Received 15 Aug 2021 Revised 15 Sep 2021 Accepted 21 Sep 2021 Adsorption is a phenomenon that describes the interaction between two different phases that forms an interface layer by transfer of a molecule from a fluid bulk (liquid or gas) to a solid surface so, it is classified as a surface process. This layer is expressed by two kinds of interaction physical or chemical interactions. This process usually is reversible, and the reverse process is called desorption. In this review, the definition and types of the adsorption process will be defined. In addition to a brief explanation about the major adsorption isotherm models, adsorption kinetics, and adsorption thermodynamic Keyword:
Enabling Security to Multi-cloud through cryptographic Techniques

The cloud computing is considered to be the architecture of the information and technology of the upcoming generation. The use of this cloud computing, which provides benefits like cost efficiency and accessibility of data has been increasing speedily in various organization. The major disadvantages with this cloud computing is associated with security issues like, privacy, integrity and confidentiality of the data, this private data is managed by the third parties whom we cannot trust. We have identified this potential security problem and difficulties in the accessibility of the data while the earlier works ensure remote data integrity. It seriously lacks the security of the data. Hence, the aim here is to ensure privacy and protect integrity and confidentiality of the data and access. This paper in particular tries to archive privacy, integrity, confidentiality of data stored in the cloud and moving towards Multi-cloud which is a recent origin. We tried to provide security by adopting cryptographic techniques, where we focus on Elliptical curve and Diffie Hellman key exchange protocol for encryption and decryption of Multi-cloud.
An Analytical Review of WBAN (Wireless Body Area Network)

: The development of wireless communication technologies and sensors has started the development of a Wireless Body Area Network (WBAN). The wireless nature of the network and various sensors provides a variety of new, intelligent and innovative applications to enhance health compliance and replace health care applications. In the past few years, some studies have focused on the establishment of systematic design of health compliance to enhance the technical requirements specifically designed for WBAN. However, as part of the communications media, WBAN faces a variety of security issues such as information loss, authentication, and access control. This article reviews the key aspects of WBAN in many applications. We have provided the WBAN infrastructure to provide solutions for on-demand, emergency and normal traffic. We further have discussed WBAN's in-vivo antenna design and low-power MAC protocol. In addition, we briefly have introduced some WBAN applications by examples.
PENGARUH UANG ELEKTRONIK TERHADAP MONEY MULTIPLIER DI INDONESIA

Tekhnologi memberikan kemudahan tersendiri bagi penggunanya.Salah satunya adalah dengan adanya peningkatan efisiensi dan kemudahan yang didapatkan oleh pengguna.Pesatnya perkembangan tekhnologi merupakan suatu tuntutan bagi Bank Indonesia untuk melakukan terobosan baru dalam memberikan kemudahan bertranksaksi bagi masyarakat luas.Uang Elektronik merupakan salah satu terobosan baru yang dikeluarkan oleh Bank Indonesia.Uang elektronik digunakan untuk mengurangi penggunaan uang tunai di masyarakat. Sama halnya dengan Negara Negara maju yang telah terlebih dahulu menerapkan system pembayaran non tunai tersebut, yang sudah lebih dulu menggunakan uang elektronik Sehingga pihak Bank Indonesia melakukan GNNT (Gerakan Nasional Non Tunai). Dengan adanya program GNNT tersebut maka akan menyebabkan indikasi adanya peningkatan penggunaan uang elektronik dan mengurangi penggunaan uang tunai. Sehingga dengan adanya hal tersebut dapat berpengaruh terhadap money multiplier yang ada di Indonesia. Kata kunci:Money Multiplier,Uang Elektronik,GNNT
Steady State and Dynamic Response of a State Space Observer Based PMSM Drive with Different Controllers

This paper deals with an investigation and evaluation of the performance of a state observer based Permanent Magnet Synchronous Motor (PMSM) drive controlled by PI (Proportional Integral), PID (Proportional Integral and Derivative), SMC (sliding mode control), ANN (Artificial neural network) and FLC (Fuzzy logic) speed controllers. A detailed study of the steady state and dynamic performance of estimated speed and angle is given to demonstrate the capability of the controllers.
Mechanisms of Plasticity in Subcortical Visual Areas

Visual plasticity is classically considered to occur essentially in the primary and secondary cortical areas. Subcortical visual areas such as the dorsal lateral geniculate nucleus (dLGN) or the superior colliculus (SC) have long been held as basic structures responsible for a stable and defined function. In this model, the dLGN was considered as a relay of visual information travelling from the retina to cortical areas and the SC as a sensory integrator orienting body movements towards visual targets. However, recent findings suggest that both dLGN and SC neurons express functional plasticity, adding unexplored layers of complexity to their previously attributed functions. The existence of neuronal plasticity at the level of visual subcortical areas redefines our approach of the visual system. The aim of this paper is therefore to review the cellular and molecular mechanisms for activity-dependent plasticity of both synaptic transmission and cellular properties in subcortical visual areas.
Physical Modeling of Plucked String Instruments with Application to Real-Time Sound Synthesis

An efficient approach for real-time synthesis of plucked string instruments using physical modeling and DSP techniques is presented. Results of model-based resynthesis are illustrated to demonstrate that high-quality synthetic sounds of several string instruments can be generated using the proposed modeling principles. Real-time implementation using a signal processor is described, and several aspects of controlling physical models of plucked string instruments are studied.
Análisis de la dispersión axial de masa y calor en reactores de lecho fijo

Dentro del espiritu investigativo a nivel teorico del estudio de los reactores quimicos, el presente trabajo desarrolla e implementa un analisis conceptual y numerico de los fenomenos de dispersion axial de calor y masa en reactores de lecho fijo. Se pretende disponer de una alternativa numerica que permita en una forma rapida y precisa la solucion de las ecuaciones diferenciales junto con las respectivas condiciones de frontera del modelo matematico. Para la simulacion del reactor de lecho fijo se empleo un modelo unidimensional pseudohomogeneo con parametros aglomerados.
Design and Development of a Device to Detect Break Down Electric line

Electric lines may lead to damage in severe climatic conditions. Due to much heat in summer if a small break done occurs, the whole line is going to shut done and it is hard to find out the approximate location. Linemen need to check every pole and line to find the fault and it takes a lot of effort and time to fix the problem. With the help of the Internet of Things - IoT we can modernize the traditional methods of searching every pole and line. The main aim of this paper is to develop a device that has the capability of sending Email directly to the substation, whether the power is available or not at that pole. Then linemen can directly visit a particular pole to search fault line. This not only saves a lot of time but also it is possible to fix the problem quickly with the help of NodeMUC and IFTTT service.
Deep Neural Models for ICD Coding from Clinical Text

: The International Classiﬁcation of Diseases (ICD) has been adopted worldwide in the healthcare domain. However, manual ICD coding of clinical documents is both time-consuming and error-prone, and it represents a huge monetary burden for a health facility. Thus, machine learning and deep learning algorithms can and have been used to automate ICD coding. This dissertation presents a novel deep neural network method for assigning ICD codes to clinical discharge summaries, combining word embeddings, recurrent units, and neural attention. The neural network explores the hierarchical nature of the input data by building representations at word and sentence-levels, also including at each level an attention mechanism. Moreover, several innovative strategies were tested together with the proposed model, including multi-label smoothing regularization, leveraging the hierarchical structure of the ICD codes, as well as data augmentation strategies or the use of alternative recurrent units. Experiments were conducted on the publicly available MIMIC III dataset, showing that the proposed model outperforms several previous deep learning models in most performance metrics. The proposed approach has the potential to be applied in hospitals and other health facilities, as part of a recommendation system for clinical coding.
ISSN 2605-6496. Journal of the Geopolitics and Geostrategic Intelligence, Vol. 3, No°3, pp 175-198 Sep 2021

The purpose of this article is to offer an overview of Chabat's political discourse as a Moroccan politician and Secretary-General of the Istiqlal Party,“IP”. It focuses on the argumentative statements using two theories: Van Dijk's critical discourse analysis and Toulmin's (2003) model of arguments, which includes the following elements: claim, data, warrant, backing, qualifier, and rebuttal. Van Dijk’s framework covers two levels of discourse structure, namely the meaning and the argumentation, and investigates lexical features such as repetition, religious features, pronoun features which are widely used in their discourses to achieve different political ideologies and strategies. The sample of the study consists of the politician Hamid Chabat through TV program “90 dakika li iknaa” “90 min to persuade”. The research is primarily carried out to demonstrate how Chabat's language may include both ideology and power in his political speech.
5 critical steps for adopting CMM in an ISO environment

The ISO 9000 series of standards first appeared in 1987. The Capability Maturity Model for software (SW-CMM) was under development by the Software Engineering Institute (SEI) at that time and was soon to go into widespread use. In the years between their inception and the present these two sets of quality instructions have outlasted all their competitors and become defacto standards of quality. The software industry, as a result, often has to address both the ISO series of standards, specifically ISO 9001, as well as the CMM. This occurrence is despite the fact that only the CMMO was specifically developed for software. When organizations are pursuing both ISO 9000 certification and CMM certification they often find substantive overlap and economies of scale as they adhere to both sets of requirements. In some organizations strategic implementation strategies are able to effectively merge the two sets of requirements so that distinctions between the two are largely unnoticed. This has lead to incorrect assumptions that moving between ISO 9000 and the CMM is relatively straightforward. This paper examines a case where an ISO 9000 certified European organization is required to attain CMMO certification. One of the challenges in this effort is recognizing that some of the differences between the ISO 9000 series of standards and the CMM are, in fact, major and that only concentrated efforts to overcome these differences result in success.
Ministry matters: A study of the relationship between campus ministry and socialization

The present study investigated the relationship between involvement in campus ministry and students’ socialization to the university. Campus ministry participants (N=62) representing eight of eleven registered campus ministries completed an online 39-question Qualtrics survey that sought to evaluate their involvement in ministry activities, social involvement in their campus ministry, social involvement in their university, and socialization to the university through history, politics, and goals and values. A significant positive correlation was found between involvement in ministry activities and social involvement in campus ministry as well as between each of the three socialization variables. There were also significant positive correlations found between social involvement in the campus ministry and social involvement in the university as well as social involvement in the campus ministry and socialization through goals and values. These findings indicate involvement in campus ministry appears to facilitate socialization to the university.
Recent advances and future challenges of IoT in Agriculture

: One of the essential tasks in agricultural applications is the use of computer technology. Agriculture is mainly based on observing, measuring, and responding to inter and intra field variability in crops. Improper irrigation will result in waste of water. Proper irrigation system could be achieved by using WSN technology Farmers, researchers, and technical manufacturers are joining efforts to find more efficient solutions for solving various different problems in agriculture to improve current production and processes. Internet of Things (IoT) is a network of sensors and connectivity to enable application like agriculture optimum irrigation. Wireless sensors consist of computation, wireless communication capabilities and small nodes of sensing. Today WSN have become an important part of precision agriculture. The recent advancement in wireless technologies has enabled a wide range of applications in environment monitoring. The use of sensors helps farmers to exploit all available resources appropriately and to apply hazardous products moderately. In this paper we have discussed about the sensor network and compared various techniques used in precision agriculture.
Real-time Implementation of the Spectral Division Method for Binaural Personal Audio Delivery with Head Tracking

A scheme for implementing the Spectral Division Method (SDM) in real time for delivering binaural personal audio to multiple listeners with head tracking is presented. The SDM, as an analytical approach for sound field reproduction, has been applied to generating personal audio filters that create acoustically bright and dark zones. However, only the case of static listening positions has been investigated. In realistic situations, the performance of such personal audio delivery systems will degrade significantly when the listeners move out of the "sweet spots". In order to achieve dynamic personal audio delivery that compensates for listeners’ head movements, the SDM-based filters are updated in real time through simple multiplications in the wavenumber domain, by utilizing the shifting theorem of the spatial Fourier transform along the x-axis. Furthermore, by selecting two spatial window functions targeted at two ears, the generated filters are able to deliver separate binaural personal audio to multiple listeners. The proposed scheme offers an intuitive and efficient solution for binaural personal audio delivery with head tracking, without the need of regenerating multiple filters as required by traditional methods.
Wireless Sensor Network: Investigation Algorithm

: We have simulated HADEEPS and HALBPS for different deployments. We have focused on the energy heterogeneity and present a set of distributed algorithm for scheduling sensors, adjust the transmission or sensing ranges of sensor node and implementing a heterogeneous energy model to enhance the complete lifetime of WSNs. We have two dimensional sensor node networks with known initial energy and sensor and target positions and they are randomly distributed in different forms such as triangular, square and hexagonal. These arrays of sensors are compared using two approaches HADEEPS and HALBPS in terms of lifetime for heterogeneous networks. The simulations results indicate the overall network lifetime significantly improve with both HADEEPS and HALBPS protocols in case of triangular deployment for linear and quadratic energy models. Finally, we have simulated the Energy Efficient Data gathering Protocol for Adjustable Range Sensing with Heterogeneity (AEEDPSH) and Data gathering Load Balancing Protocol for Adjustable Range Sensing with Heterogeneity (ADLBPSH) for the different adjustable sensing ranges