Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Pharmaceutical Particle Size Distributions Using Kernel Mean Embedding

In the pharmaceutical industry, the transition to continuous manufacturing of solid dosage forms is adopted by more and more companies. For these continuous processes, high-quality process models are needed. In pharmaceutical wet granulation, a unit operation in the ConsiGmaTM-25 continuous powder-to-tablet system (GEA Pharma systems, Collette, Wommelgem, Belgium), the product under study presents itself as a collection of particles that differ in shape and size. The measurement of this collection results in a particle size distribution. However, the theoretical basis to describe the physical phenomena leading to changes in this particle size distribution is lacking. It is essential to understand how the particle size distribution changes as a function of the unit operation’s process settings, as it has a profound effect on the behavior of the fluid bed dryer. Therefore, we suggest a data-driven modeling framework that links the machine settings of the wet granulation unit operation and the output distribution of granules. We do this without making any assumptions on the nature of the distributions under study. A simulation of the granule size distribution could act as a soft sensor when in-line measurements are challenging to perform. The method of this work is a two-step procedure: first, the measured distributions are transformed into a high-dimensional feature space, where the relation between the machine settings and the distributions can be learnt. Second, the inverse transformation is performed, allowing an interpretation of the results in the original measurement space. Further, a comparison is made with previous work, which employs a more mechanistic framework for describing the granules. A reliable prediction of the granule size is vital in the assurance of quality in the production line, and is needed in the assessment of upstream (feeding) and downstream (drying, milling, and tableting) issues. Now that a validated data-driven framework for predicting pharmaceutical particle size distributions is available, it can be applied in settings such as model-based experimental design and, due to its fast computation, there is potential in real-time model predictive control.
A Review: CRISPR/Cas9-Mediated Genome Editing in Hematopoietic Stem and Progenitor Cells (HSPCs) and Their Applications on Hematological Disorders

Hematopoietic stem and progenitor cells (HSPCs) have great therapeutic important in the medical science due to its ability to both self-renew and differentiate. A genetically modified HSPCs could result in correction of the entire hematopoietic system in patients with various hematological disorders, due to this unique properties. One of the evolutionary discovery in the field of biology is the ability to altered and modify the functional output of genome. Zincfinger nuclease (ZFNs) and transcriptional activator-like effector nucleases (TALENs) are the genome editing technologies used at both the basic and clinical level from the past decades. But after knowing many obstacles are associated with this technologies, scientists leads to a new discovery of a advance technology in the field of genetic engineering and this tool was known as clustered regularly interspaced short palindromic repeats (CRISPR)associated protein 9 (Cas9) system. In this review, we describe the mechanism of CRISPR/Cas9 gene editing in HSPCs and their applications in various haematological disorders. In addition, we discuss the challenges and future perspectives regarding the use of CRISPR/Cas9 as an important technology in the stem cells research.
The flux, pulse, and spin of aggression-related affect.

Aggression is an affect-laden behavior. The within-person variability of affective states that immediately precede, accompany, and follow aggression-and their links to between-person variability in aggressive behavior and traits-remain incompletely understood. To address this gap in our understanding, we examined 8 studies in which 2,173 participants reported the negative and positive affect they experienced before, during, and after a laboratory or online aggression task. We quantified the within-person variability within (flux) and across (pulse) negative and positive affect intensity, as well as the variability in oscillations between negative and positive affect (spin). Internal meta-analyses revealed an association between aggressive behavior and traits and flux in positive affect (against our preregistered predictions). Probing this effect with piecewise growth models showed that less aggressive individuals exhibited a pronounced decrease in positive affect during aggression, as compared to before and after the act. This downward fluctuation in positive affect was attenuated among aggressive individuals, who exhibited relatively stable levels of positive aggression-related affect. Thus, stable positive affect surrounding an aggressive act and higher positive affect during the act may buttress and promote aggressive tendencies. These findings support a reinforcement model of aggressive behavior, contrast with the aggression literature's conventional focus on negative affect and the instability thereof, and point to the utility of dynamic measures of moment-to-moment affect in understanding human social behavior. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
Consistency Index-Based Sensor Fault Detection System for Nuclear Power Plant Emergency Situations Using an LSTM Network

A nuclear power plant (NPP) consists of an enormous number of components with complex interconnections. Various techniques to detect sensor errors have been developed to monitor the state of the sensors during normal NPP operation, but not for emergency situations. In an emergency situation with a reactor trip, all the plant parameters undergo drastic changes following the sudden decrease in core reactivity. In this paper, a machine learning model adopting a consistency index is suggested for sensor error detection during NPP emergency situations. The proposed consistency index refers to the soundness of the sensors based on their measurement accuracy. The application of consistency index labeling makes it possible to detect sensor error immediately and specify the particular sensor where the error occurred. From a compact nuclear simulator, selected plant parameters were extracted during typical emergency situations, and artificial sensor errors were injected into the raw data. The trained system successfully generated output that gave both sensor error states and error-free states.
Interactions between mRNA and Escherichia coli ribosomes that contribute to the formation of translation initiation complexes

Interactions Between mRNA and Escherichia coli Ribosomes that Contribute to the Formation of Translation Initiation Complexes By Jay Edward Brock Initiation is the rate-limiting step of translation involving the assembly of stable ternary complexes (mRNA-tRNA-ribosomes) on the translation initiation region (TIR) of the mRNA. Evidence for many non-Shine-Dalgarno (SD)-led genes, including genes encoding leaderless mRNA, provides motive for studying mRNA features within the coding sequence that contribute to the formation of these complexes. Binding and expression assays reveal here that adenines downstream from a mRNA’s start codon contribute significantly to the rate and amount of ternary complex formed as well as the level of in vivo expression, even in the presence of a canonical SD sequence. Leaderless mRNA, which lack signals upstream of the start codon, requires a 5’-terminal triphosphate for efficient translation. A mutagenesis approach was developed to search for ribosome sites involved in recognizing a leaderless mRNA’s 5’-terminal triphosphate. Binding assays demonstrated tRNA-dependent ribosome binding to leaderless mRNA; however, site-specific crosslinks between a leaderless mRNA’s start codon, containing a 4-thiouridine at +2 position, and components of the ribosome formed independent of initiator tRNA. Several leaderless mRNA-r-protein contacts were dependent on the presence of a 5’-terminal AUG, suggesting that specific r-proteins might facilitate recognition of a leaderless mRNA’s start codon. In addition, initiation factors did not influence the initial interactions between leaderless mRNA and ribosomes identified in site-specific crosslinking assays. This work provides the first evidence that recognition and ribosomal positioning of a leaderless mRNA’s 5’-AUG is a function of the ribosome. Interactions Between mRNA and Escherichia coli Ribosomes that Contribute to the Formation of Translation Initiation Complexes
External and internal training load relationships in soccer players

The aim of the present study was to examine the relationships between internal training loads (TL) (Polar (PLR), Edwards (EDW) Training-Impulse (TRIMP) session RPE (s-RPE) external TL (Total distance (TD), covered distance in five different zone, number of acceleration (ACC) and deceleration actions (DEC) in professional soccer players. Twenty male professional soccer players (age = 27.6 years; height = 177.6 ± 7.1 cm; body mass = 69 ± 8.3 kg) from a professional soccer team voluntarily participated in the study. The correlations between the values were examined individually for each athlete by Pearson correlation test. According to the results of this study showed that there were very large and nearly perfect relations between s-RPE and both HR-based methods (EDW and PLR TRIMP) (respectively, r = .51 - .91; r = .44 -. 90). Additionally, from moderate to large correlations were observed between internal TL methods and external TL methods (walking, number of ACC-DEC actions) (between r = .56 - .82). Moreover, the relations between internal load and external load parameters were weakened in high-speed zones. According to the results of the current study, meanwhile s-RPE may be evaluated in practice as a useful and inexpensive for monitoring the internal TL method, the number of ACC and DEC actions could be appropriate for external TL.
Comparison between SERE and RCP scenarios in Temperature and Evapotranspiration under Different Climate Zone in Egypt

The Intergovernmental Panel on Climate Change (IPCC) reports that the impacts of climate change has occurred and is going to continue, driven by both past and future greenhouse gas (GHG) emissions. The aim of this study was the comparison between SRES and RCP scenarios for temperature and ETo under different Agro-climate regions in Egypt. The major agro-climatic regions in Egypt are Delta, the Middle Egypt and the Upper Egypt region. The SERS scenario was used (A1F, B2 and B1) while the RCP scenario was (RCP8.5, RCP6 and RCP 4.5). In this study the comparison between the different types of scenario was done at 2025s, 2050s and 2100s. The paired t– test was used to recognize the significant differences among the monthly ETo between SRES and RCP scenarios. The obtained results show that the annual mean temperature in the Delta region was increased in RCP than SERS scenarios at 2025s, 2050s and 2100s; the average increased was ranged from 0.27 to 1.21 o C. The annual mean temperature in the Middle Egypt region was increased in RCP8.5 and RCP6 than SERS-A1F1 and SERS-B2 scenarios while, temperature was lower under RCP4.5 than SERS-B1 scenario. The mean temperature in the Upper Egypt region was lower in RCP than SERS scenarios under two 2025 and 2100 and was higher at 2050s. The comparison of ETo value between RCP and SRES scenarios was not significance for Delta region; while the differences between RCP and SRES was significant under Upper Egypt The comparison of ETo value in middle Egypt between (RCP8.5 and A1F1) and (RCP6 and SRES B2) was significance at 2025s, 2050s and 2100s.
Motion Planning with Competency-Aware Transition Models for Underactuated Adaptive Hands

Underactuated adaptive hands simplify grasping tasks but it is difficult to model their interactions with objects during in-hand manipulation. Learned data-driven models have been recently shown to be efficient in motion planning and control of such hands. Still, the accuracy of the models is limited even with the addition of more data. This becomes important for long horizon predictions, where errors are accumulated along the length of a path. Instead of throwing more data into learning the transition model, this work proposes to rather invest a portion of the training data in a critic model. The critic is trained to estimate the error of the transition model given a state and a sequence of future actions, along with information of past actions. The critic is used to reformulate the cost function of an asymptotically optimal motion planner. Given the critic, the planner directs planned paths to less erroneous regions in the state space. The approach is evaluated against standard motion planning on simulated and real hands. The results show that it outperforms an alternative where all the available data is used for training the transition model without a critic.
Review of Data Security using Trust Base Mechanism on MANET

: Versatile Ad-hoc Network (MANET) is an amassing of portable hubs arranging a sporadic topology without incorporated organization. In a MANET, multicasting is a huge strategy for using information correspondence framework. Multicasting based improved proactive source steering is proposed in this paper for Mobile Ad hoc Networks. It clarifies an inventive multicasting calculation that thinks about the transmission vitality and lingering vitality while sending the information bundles. It enhances the system throughput and raises the system lifetimes. Reproduction investigation is conveyed in this proposed framework and this technique indicates enhanced execution over the current framework.
Development And Evaluation Of Gastroretentive Floating Tablet Of Rosuvastatin

Gastroretentive floating matrix tablets of the antihyperlipidemic drug Rosuvastatin were successfully prepared using hydrophilic polymers like HPMC K4M and Carbapol. From the Preformulation studies for drug excipients compatibility it was observed that there was no compatibility problem with the excipients used in the study. The Formulated tablets gave satisfactory results for various physicochemical evaluation studies like Weight variation, Floating lag time, Content uniformity, Total floating time, Mucoadhesion time, mucoadhesive strength and in vitro drug release and shows a floating time of around 12 hrs.
Lviv, Ukraine CHARACTERISTICS OF THE CONDITION OF CENTRAL RETINA IN PATIENTS WITH TYPE 2 DIABETES MELLITUS AND PROLIFERATIVE DIABETIC RETINOPATHY

Objective. To Investigate the characteristics of the condition of central retina in patients with type 2 diabetes mellitus (DM2) and proliferative diabetic retinopathy (PDR). The study involved 62 patients with DM2. All patients were diagnosed with non-proliferative (31 patients, 31 eyes) and proliferative diabetic retinopathy (31 patients, 31 eyes) on the basis of results of clinical and instrumental examination and according to the ETDRS classification. The ophthalmological examination included measurements of visual acuity with optimal optical correction, tonometry, biomicroscopy, ophthalmoscopy, optical coherence tomography. The thickness and volume of the central retina in patients with proliferative DR were 309.0 ± 130.0 μm and 7.6 ± 2.7 mm, respectively, in subcompensated DM, whereas these indicators were 287.0 ± 40.0 μm and 7.80 ± 0.57 mm (p> 0.05), respectively, in decompensated DM. A statistically significant decrease in corrected visual acuity (p = 0.012) and an increase in the volume of the central retina (by 6.9%; p = 0.034) were detected under the conditions of diabetic retinopathy (DR) progression. More expressed demonstrative changes in the retina (p <0.05) were found in patients with proliferative DR complicated by macular edema. Patients with PDR had no differences in eye condition in subcompensation and decompensation of DM2. As a result of progression of DR from non-proliferative to proliferative stage, the corrected visual acuity decreased and the thickness and volume of central macular retina increased. This may be associated with the development of edema due to the progression of the pathological process.
A NOVEL DECENTRALISED SCHEME FOR IDENTITY PRESERVED ACCESS CONTROL IN CLOUD

: Cloud computing has become a recent trend in the software industry due to its advantages like flexibility, efficiency, manageability and many others. Though many advantages are there in the cloud, it has its own security concerns. In the proposed scheme the following security concerns in the cloud are to be addressed access control, data privacy and also identity privacy. Most of the research work concentrates mainly on data confidentiality and access control whereas less attention is paid to identity privacy. So hereby we propose a decentralised scheme with fine-grained access control to the data stored in the cloud. Data confidentiality is achieved with CP-Attribute Based Encryption Scheme and for Identity Privacy and Access Control a decentralised scheme has been proposed which ensures higher rates of security and user identity privacy.
Simultaneous Iterative Reconstruction Technique by Selective Discrimination SIRT-DS

: Iterative tomographic reconstructions models provide a better measure of the error in the process with the consequent elimination of artifact in the solution image. Selective discrimination associated with the SIRT method (SIRT-DS) offers a significant improvement in comparison with literature feel. The projections are grouped into windows based on their statistical similarities before they are processed by the SIRT method. Convergence is established when the standard deviation becomes stable in the first majority of reconstructed windows.
LOW POWER CIRCUIT DESIGN FOR SRAM USING HETRO JUNCTION TUNNELING TRANSISTOR

: The aim of this project is to design the 6T SRAM using SRAM and HETT. This project is carried out to investigate the performance and the characteristics of the SRAM. The 6T SRAM cell is selected cell to be design in this project due to higher performance of the cell compared with the other type of cell. The objectives of this study are to design the SRAM cell by using the TSPICE software in two operations in the 6T SRAM cells which are in the write and read operation. The operation time of each operation is observed and compared. The complete time taken for the read operation is higher than write operation. Then power dissipation in the write and read operation are calculated and discussed for various type of SRAMs during read and write operation.Finally 6T SRAM,7TSRAM and Schmitt trigger based 6T SRAM and 6T SRAM using adiabatic logic are designed and results are compared with its 4*4 SRAM array logic.
OP-SCAN120150 1..9

Previous neuroimaging studies on empathy have not clearly identified neural systems that support the three components of empathy: affective congruence, perspective-taking, and prosocial motivation. These limitations stem from a focus on a single emotion per study, minimal variation in amount of social context provided, and lack of prosocial motivation assessment. In the current investigation, 32 participants completed a functional magnetic resonance imaging session assessing empathic responses to individuals experiencing painful, anxious, and happy events that varied in valence and amount of social context provided. They also completed a 14-day experience sampling survey that assessed real-world helping behaviors. The results demonstrate that empathy for positive and negative emotions selectively activates regions associated with positive and negative affect, respectively. In addition, the mirror system was more active during empathy for context-independent events (pain), whereas the mentalizing system was more active during empathy for context-dependent events (anxiety, happiness). Finally, the septal area, previously linked to prosocial motivation, was the only region that was commonly activated across empathy for pain, anxiety, and happiness. Septal activity during each of these empathic experiences was predictive of daily helping. These findings suggest that empathy has multiple input pathways, produces affect-congruent activations, and results in septally mediated prosocial motivation.
Wearable Multi-Biosignal Analysis Integrated Interface With Direct Sleep-Stage Classification

This paper presents a wearable multi-biosignal wireless interface for sleep analysis. It enables comfortable sleep monitoring with direct sleep-stage classification capability while conventional analytic interfaces including the Polysomnography (PSG) require complex post-processing analyses based on heavy raw data, need expert supervision for measurements, or do not provide comfortable fit for long-time wearing. The proposed multi-biosignal interface consists of electroencephalography (EEG), electromyography (EMG), and electrooculography (EOG). A readout integrated circuit (ROIC) is designed to collect three kinds of bio-potential signals through four internal readout channels, where their analog feature extraction circuits are included together to provide sleep-stage classification directly. The designed multi-biosignal sensing ROIC is fabricated in a 180-nm complementary metal–oxide–semiconductor (CMOS) process. For system-level verification, its low-power headband-style analytic device is implemented for wearable sleep monitoring, where the direct sleep-stage classification is performed based on a decision tree algorithm. It is functionally verified by comparison experiments with post-processing analysis results from the OpenBCI module, whose sleep-stage detection shows reasonable correlation of 74% for four sleep stages.
A Novel Computational Approach based on 3D Reconstruction and WEKA Tool to analyse the morphology of Golgi-Cox stained Rat Brain Cells

Inspite the many significant researches has been done in the area of neurological field based on detection and extraction of morphology of the dendritic spines. Still the current researches and automated tools have various shortcomings against the detection and analysis of the dendritic spines. The detection and extraction of neuronal morphology of spines is especially challenging due to spines compounded with lower image resolution & contrast levels. To address this issue, a novel approach is proposed to detect and quantify the dendritic spines of the rat brain cells. The overall approach includes: (i) a novel 3D reconstruction algorithm to enhance the spines in 3D space, (ii) the mathematical description of proposed algorithm and (iii) trainable WEKA tool to classify the spines as stubby, thin & mushroom using random forest classifier and to calculate the number of each spine type. This approach enables the computation of volumteric representation of the raw spines in 3D space and morphological analysis of each spine type. We illustrate the proposed approach using Golgi-Cox stained dataset images. This dataset consists of two types of images i.e. EMF exposed images (with radiation) and SHAM exposed (without radiation) images of rat brain cells. The proposed approach achieved the accuracy of 98% (approx) in classifying the dendritic spines of rat brain cells. The proposed approach has successfully conveyed the degeneracy in the maturational shift of spine types for EMF exposure spine images as compared to SHAM exposure spine images during development in the rat primary visual cortex. Moreover, this approach is responsible for finding the defects in the morphology and size of the spines which leads to several neurological disorders.
Survey of Results Regarding the Energetic Balance for Some Motions of Newtonian and Non-Newtonian Fluids

can be reduced to those of second grade fluids. This is the reason that we present here the general ISSN: 2643-6736 DOI: 10.32474/ARME.2020. 02.000139 Abstract Exact expressions for dissipation, power of the shear stress at the wall, the energy variation and the boundary layer thickness are provided for three unidirectional