Miracle-dz/UniFAR-FTUs huggingface dataset:
Block-SDoTCloud: Enhancing Security of Cloud Storage through Blockchain-based SDN in IoT Network

Software Defined Networking (SDN) and Blockchain (BC) are the most recent research trends in emerging technology. These technologies have currently been used in the IoT networking environment for various purposes, such as protection, stability, scalability, confidentiality, and so on. Such techniques can be used in this regard to effectively provide security, privacy, and confidentiality to cloud storage. In this paper, the authors proposed Block-SDoTCloud architecture to significantly enhance security within the cloud storage network. In order to give the cloud storage environment the requisite facilities, two leading technologies, i.e., SDN and Blockchain were applied. The centralized SDN controller provided the proposed model with tremendous reliability, versatility, and load balancing in one side while on the other hand, a distributed Blockchain created a deep trust between the transaction levels resulting into effective protection for the presented scheme. The efficiency of the proposed architecture is justified through close observation of simulation with a careful selection of relevant parameters.
Make it Trackable: An Instant Magnetic Tracking System With Coil-Free Tiny Trackers

Ambient intelligence aims to actualize the environment that sense and utilize information around us without making us perceive the underlying systems. This work extends this concept by allowing us to track the movement and orientation of people and objects instantly. The proposed system can sense and let us know, for example, who met or talked to each other frequently, to whom s/he is often facing in the meeting, what stuffs people often use, where the person left his/her belongings, etc. Such information will help the system to understand the behavior patterns of each person and consequently can support and improve the personal life of users and even their mutual relationship. This article proposes an instant indoor magnetic tracking system that enables us to track the movement and orientation of people and objects by only attaching tiny electronic trackers to them. The size of the prototyped tracker is only 25.4mm <inline-formula> <tex-math notation="LaTeX">$\times25.4$ </tex-math></inline-formula>mm <inline-formula> <tex-math notation="LaTeX">$\times10.0$ </tex-math></inline-formula>mm, and hence it can be readily attached to almost anything and immediately activated. Evaluation results show that the proposed system applies to both room-scale tracking and tabletop scale tracking with 6 DoF (Degrees of Freedom).
Sentiment, Count and Cases: Analysis of Twitter discussions during COVID-19 Pandemic

In this paper, we analyze over 18 million coronavirus related Twitter messages collected between March 1, 2020 and May 31, 2020. We perform sentiment analysis using VADER, a rule-based supervised machine learning model, to evaluate the relationship between public sentiment and number of COVID-19 cases. We also look at the frequency of mentions of a country in tweets and the rise in its' daily number of COVID-19 cases. Some of our findings include the discovery of a correlation between the number of tweets mentioning Italy, USA, and UK and the daily increase in new COVID-19 cases in these countries.
Extraction of Lanthanides(III) with N,N′-Bis(Diphenylphosphinyl-Methylcarbonyl)Diaza-18-Crown-6 in the Presence of Ionic Liquids

The extraction of microquantities of La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, and Y from nitric acid solutions into an organic phase containing N,N′-bis(diphenylphosphinyl-methylcarbonyl)diaza-18-crown-6 and ionic liquid (IL) 1-butyl-3-methylimidazolium bis[(trifluoromethyl)sulfonyl]imide (BMImTf2N) has been studied. The effect of HNO3 concentration in the aqueous phase and that of the extractant and IL concentration in the organic phase on the extraction of metal ions is considered. The stoichiometry of the extracted complexes has been determined. A considerable synergistic effect was observed in the presence of IL in the organic phase containing a neutral organophosphorus ligand. This effect is connected with the hydrophobic nature of the IL anion. The partition of IL between the equilibrium organic and aqueous phases is the dominant factor governing the extractability of lanthanide (III) ions in the extraction system. The potentialities of polymeric resin impregnated with compound I and BMImTf2N for the preconcentration of lanthanides(III) from nitric acid solutions are demonstrated.
Feature Correlation Analysis of Two-Branch Convolutional Networks for Multi-Source Image Classification

With the development of multi-sensor imaging technology, constructing a multi-branch network model has become an important requirement for fusion decision. In the literature, many two-branch networks are proposed to interpret multisensor data and also get the satisfactory results. In this paper, we divide these models into two types and study them by mining changes in data and features. The main method used is analysis the correlation between the features of the same layer from the first branch and the second branch. The task of dual-source image classification serves as a means of experimentation. When the classification network is trained, the features of each layer are extracted for experimental analysis. Extensive experiments and analysis on the dataset IEEE_grss_dfc_2017 show that the analysis is meaningful. It is found that the correlation of the features from the low level to the high level is more and more consistent, a quantitative analysis is given in this paper.
Generative Adversarial Neural Network for Creating Photorealistic Images

This paper is focused on studying the Generative Adversarial Neural Network (GAN or GANN) as an implement for creating diverse functional samples, particularly photorealistic images (graphic, molecular, etc.). The paper considers available existing methods and approaches for designing and algorithmization the current class of networks, also the effectiveness of different types of formed architectures with various combinations using the example of handwritten digits creation as one of the photorealistic images. The paper examines an applied value of the generative adversarial neural network as an implementation of the complex paradigm of artificial intelligence. The results of the study demonstrate the efficiency of the GAN technology in designing samples of various types and categories of complexity
High Performance Application-oriented Memory Management on Multicore Systems

Due to the evolution of imagining and dealing with issues and demands that have developed with intelligent systems, higher performance has become a crucial need for daily growth of application size and complexities. Currently, most high-performance computing systems are multi-core, and many kinds of research have been done toward minimizing the execution time efficiently. Cache performance impacts on program execution especially on modern intelligent processing systems, therefore cache replacement policies in set-associative caches have been investigated in great depth. We propose an approach to consider information derived from coherence state of the cache block in a time-interleaved manner, and our simulations on high-performance applications of PARSEC2.1 and SPLASH-2 benchmark suits show that our approach has 10% lower miss rate and up to 10% more instructions per cycle than LRU, MRU and Random replacement policy without further power consumption.
35 GHz Prolonged Stopband Lowpass Filter using Multi-Resonator Structure

This work presents highly suppressed microstrip lowpass filter design having prolonged stopband width up to 38 GHz. The 14th harmonics rejection is also accomplished using the multi resonator structure. The LC equivalent circuit of the proposed filter is developed as per the the tuning of the first transmission zero. The high performance multi resonator filter circuit is designed for S- band communication applications.
Comparison of Proteomics Profiles Between Xenografts Derived from Cell Lines and Primary Tumors of Thyroid Carcinoma

Patient-consistent xenograft model is a challenge for all cancers but particularly for thyroid cancer, which shows some of the greatest genetic divergence between human tumors and cell lines. In this study, proteomic profiles of tumor tissues from patients, included anaplastic thyroid carcinoma (ATC) and papillary thyroid carcinoma, and xenografts (8305C, 8505C, FRO, BAPAP and IHH4) were obtained using HPLC-tandem mass spectrometry and compared based on all proteins detected (3,961), cancer-related proteins and druggable proteins using pairwise Pearson's correlation analysis. The human tissue showed low proteomic similarity to the ATC cell lines (8305C, r = 0.344-0.416; 8505C, 0.47-0.579; FRO, 0.267-0.307) and to PTC cell lines (BCPAP, 0.303-0.468; IHH4, 0.262-0.509). Human tissue showed the following similarity to cell lines at the level of 135 cancer-related pathways. The ATC cell lines contained 47.4% of the cancer-related pathways (19.26%-33.33%), while the PTC cell lines contained 40% (BCPAP, 25.93%; IHH4, 28.89%). In patient tumor tissues, 44-60 of 76 and 52-53 of 93 druggable proteins were identified in ATC and PTC tumors, respectively. Ten and 29 druggable proteins were not identified in any of the ATC and PTC xenografts, respectively. We provide a reference for CDX selecting in in vivo studies of thyroid cancer.
Calotropis procera : Larvicidal Effect against Culex quinquefasciatus

In present studty larvicidal activities of leaf extract of Calotropis procera against Culex quinquefasciatus investigated.This was monitored against 2 ,3 and 4 instar larvae of the mosquitoes species 24h posttreatment.the results shows that the leaf extract of C.propera possess remarkable larvicidal effect against Cx. Quinquefasciatus and might be used as natural biocides for mosquito control.
Trust and Innovation within the Firm: Evidence from Matched CEO-Firm Data∗

This paper provides evidence on the effect of trust on innovation within firms. I build a new matched CEO-firm-patent dataset covering 5,753 CEOs in 3,598 large US public firms and 700,000 patents during 2000-2011. To identify the effect of CEO’s trust, I exploit variation in generalized trust across the countries of CEOs’ ancestry, inferred from their last names using deanonymized historical censuses, as well as variation in CEOs’ bilateral trust towards inventors. First, one standard deviation increase in CEO’s generalized trust following a CEO turnover is associated with over 6% increase in firm’s future patents. Second, changes in CEO’s bilateral trust towards inventors in different countries (i.e., different R&D labs within multinational firms) or from different ethnic origins in the same firm have comparable effects on inventors’ patenting, controlling for CEO and other stringent fixed effects. Trust-induced improvements in innovation are driven entirely by higher-quality patents, consistent with a model in which CEO’s trust incentivizes researchers to undertake high-risk explorative R&D. Finally, I show that across and within firms, CEO’s generalized trust is strongly correlated with a broader corporate culture of trust, as measured from the text analysis of one million online employee reviews. The evidence provides a micro-foundation for the well-known macro relationship between trust and growth.
Embedding Social Emotional Learning Core Content into Life- Skills Instruction for Vietnamese Primary Students

Social-emotional education plays an important role in helping students develop essential life-skills that go beyond academics. Over the last decade, research literature on social-emotional learning and life-skills in Vietnam has begun to develop. This paper provides an overview of the major trends in studying, solving and evaluating the relationship between social-emotional learning and life-skills education in Vietnam. In addition, the paper also evaluates the challenges of linking this relationship. The researcher also created models that embed each of the five competencies of social and emotional learning into living skills programs for Vietnamese primary students. The results suggested that the teachers were all aware of the challenges when embedding SEL in classrooms
PROBABILISTIC SYMBOL SEQUENCE MATCHING AND ITS APPLICATION TO PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT

Matching of a test signal to a reference word hypothesis forms the core of many speech processing problems, including objective speech intelligibility assessment. This paper ﬁrst shows that the comparison of two speech signals can be formulated as matching of two sequences of ”uncertain” or probabilistic latent symbols, in the same manner as string matching. Based upon that, we propose a pathological speech intelligibility assessment approach that compares pathological speaker’s speech to control speaker’s speech in phone space and articulatory feature space, and yields a score that is interpretable w.r. t. human listening test. Experimental validation of the proposed approach on the UA-speech corpus yielded a Spearman’s correlation coefﬁcient of 0.976 and a Pearson’s correlation coefﬁcient of 0.946.
Current status of the erector spinae plane block

Erector spinae plane block (ESPB) was first reported as a technique, blocking the posterior ramus of the spinal nerves to obtain analgesia in the back. After the original report, many reports have suggested that ESPB could obtain a broader analgesic effect than initially thought and be effective in thoracic or abdominal surgery. By the ESPB, the local anesthetic spreads laterally and blocks the lateral cutaneous branch of the intercostal nerve. Another possibility is the local anesthetic infiltrates ventrally and migrates to the paravertebral space or epidural space. However, the results of the cadaver examination, whether the local anesthetics can reach the paravertebral space were inconsistent. Recently, the clinical effectiveness of ESPB has been reported in thoracic surgery and abdominal surgery. However, the clinical effect of ESPB might be only due to an increase in the blood concentration of local anesthetics. The ideal target might be a deeper site than that currently used in ESPB to reach the paravertebral space. Further studies will investigate more effective and reliable sites for pain relief by injecting local anesthetics around the erector spinae muscle. Key words: Erector spinae plane block; Local anesthetics; Nerve block Citation: Morimoto Y. Current status of the erector spinae plane block. Anaesth. Pain intensive care 2021;25(1):81–85. DOI: 10.35975/apic.v25i1. 1435 Received: 15 January 2021, Reviewed: 16 January 2021, Accepted: 16 January 2021
Efficacy and Safety of CAR-T Therapy for Relapse or Refractory Multiple Myeloma: A systematic review and meta-analysis

Background: Multiple myeloma (MM) is incurable in spite of recent treatment improvements, highlighting the development of new therapies. Chimeric antigen receptor (CAR) T-cell therapy has dramatically changed the therapeutic effectiveness in high-risk B-cell malignancies. For relapsed/refractory multiple myeloma (RRMM), preclinical evaluations of CAR-T therapy have shown promising efficacy, thus various active clinical trials are under way. Herein, we conducted this review to summarize efficacy and safety of CAR-T therapy and provide more evidence to guide clinical treatments. Method: We systematically searched literature based on databases (PubMed, EMBASE, Cochrane Central Register of Controlled Trials), and conference abstracts reported from American Society of Hematology (ASH), European Hematology Association (EHA) and American Society of Clinical Oncology (ASCO), in addition to other sources (www.clinicaltrials.gov, article citations). Data assessed efficacy and safety of CAR-T therapy in patients with RRMM were extracted and evaluated, and then systematically analyzed by Comprehensive Meta-analysis 3.0 (CMA 3.0). Results: A total of 23 studies including 350 participants from different countries, diagnosed as RRMM and treated with CAR-T therapy (containing 7 antigens targeted by CARs) were combined. In summary, we discovered the pooled overall response rate (77%), complete response rate (37%) and minimal residual disease (MRD) negativity rate within responders (78%). Furthermore, the pooled relapse rate of responders was 38% and median progression-free survival was 8 months. The pooled survival rate was 87% at last follow-up (median, 12 months). In addition, the pooled grade 3-4 rates of cytokine release syndrome (CRS) and neurologic toxicities (NT) were 14% and 13%, respectively. Conclusion: Our study suggests that CAR-T therapy has demonstrated efficacy and safety in RRMM patients. BCMA-targeted CAR-T and anti-BCMA contained regimen have shown better efficacy.
Extraction of Parquat from Blood by Clinoptilolite

Paraquat is a bipyridyl herbicide and organic divalent cation which due to its high polarity and water solubility cannot be readily extracted by common organic solvents from body fluids. Dithionite color test for qualitative and quantitative determination of paraquat in urine has been proposed and used for many years. Although some methods were proposed for solvent extraction of paraquat from blood, they are less practical in clinical laboratories and lack high extraction recovery. Clinoptilolite is a highly porous natural zeolite with cation-exchange property and high surface area. In the present work, extraction of paraquat from human blood by clinoptilolite was investigated and compared with Amberlite CG-50 I, a well-known weak cation-exchanger. Blood paraquat was adsorbed by adsorbents (clinoptilolite or Amberlite) and extracted from them by saturated sodium chloride solution. Extracted paraquat was spectrophotometrically measured by means of sodium dithionite reagent at 394.5 nm. Recovery, limit of detection, considering signal-to-noise (S/N) ratio of 3, and limit of quantification, regarding S/N of 10, of paraquat extraction by clinoptilolite and Amberlite CG-50 were 81.7% ± 3.4%, 0.58 μg, and 1.93 μg and 83.6% ± 3.2%, 0.49 μg, and 1.63 μg, respectively. Repeatabilities (within-laboratory error) of paraquat extraction by clinoptilolite and Amberlite CG-50 I were 7.1% and 6.3%, respectively.
Chelation or Non‐Chelation Control in Addition Reactions of Chiral α‐ and β‐ Alkoxy Carbonyl Compounds [New Synthetic Methods (44)]

The addition of C-nucleophiles such as Grignard reagents or enolates to chiral α- or β-alkoxy aldehydes or ketones creates a new center of chirality and is therefore diastereogenic. In order to control stereoselectivity, two strategies have been developed: (1) Use of Lewisacidic reagents which form intermediate chelates, these being attacked stereoselectively from the less hindered side (chelation control); (2) use of reagents incapable of chelation, stereoselective attack being governed by electronic and/or steric factors (non-chelation control). Generally, the two methods lead to the opposite sense of diastereoselectivity. It is possible to predict the outcome by careful choice of organometallic reagents containing elements such as Li, Mg, B, Si, Sn, Cu, Zn, or Ti. For corrigendum see DOI:10.1002/anie.198407461
Hemolysis in patients with Extracorporeal Membrane Oxygenation therapy for severe Acute Respiratory Distress Syndrome - a systematic review of the literature

The Acute Respiratory Distress Syndrome (ARDS) is common in patients on the Intensive Care Unit and associated with significant mortality rates. In situations of severe respiratory insufficiency and failure of all possible conservative therapeutic approaches, veno-venous extracorporeal membrane oxygenation (VV ECMO) is used as a final option for temporary replacement of pulmonary function. ARDS as well as sepsis and VV ECMO treatment are all associated with intravascular hemolysis. The extent and relevance of intravascular hemolysis in the context of ARDS therapy is unclear. This systematic review aims to summarize the current evidence on the incidence and associated complications of intravascular hemolysis in adult patients with ARDS and treatment with VV ECMO. The databases MEDLINE, EMBASE and Web of Science were systematically searched and 19 publications fulfilled inclusion criteria. The incidence of hemolysis in patients with ARDS and treatment with VV ECMO ranged from 0 to 41% with survivors showing lower incidences and less severe hemolysis. A pump head thrombosis and high blood flows (≥3 l/min) as well as use of dual-lumen cannulas but not different pump models were associated with increased hemolysis. In conclusion, intravascular hemolysis in patients with ARDS and treatment with VV ECMO is a common and relevant complication that appears associated with increased mortality. Apart from ECMO hardware-settings, no additional possible causes for increased red cell breakdown such as disease severity, duration of ECMO therapy, or number and quality of red blood cell transfusions were investigated. Further research is needed to determine the origin and relevance of intravascular hemolysis in patients with ARDS and treatment with VV ECMO.
CH3NH3PBI3 PEROVSKITE THIN FILMS GROWN

Methyl ammonium lead iodide has become a burgeoning class of hybrid halide perovskites of solution-processed semiconductors. Advancements in its processing and characterization underscore structural, optical, and electronic properties. They have led to the development of perovskite solar cells, photo detectors, lasers, and photo diodes with power conversion efficiencies mature to be classified as first and second-generation technologies. Characterizing forms an integral understanding the operating principles and fundamental limitations for optoelectronics applications. Studies outlined in this paper covers CH3NH3PbI3 using time-resolved pump-probe spectroscopy, X-ray diffractometry, spectrophotometry and other measurements. Thus this investigatiosn may serve as principle tool in analyzing excited state decay kinetics and optical nonlinearities in CH3NH3PbI3 thin films. It is demonstrated herein that non-resonant photoexcitation yields a large fraction of free carriers on a sub-picosecond time scale. If applied in practical optoelectronic applications then any photogenerated carriers may travel long carrier lengths before they are extracted to realize large external quantum efficiencies and efficient charge extraction. The optical constants of CH3NH3PbI3 are interpreted using ab initio calculations through models. Findings show good agreement between the optical constants derived from QSGW and those from related literature. Transition from the highest valence band (VB) to the lowest conduction band (CB) was found to be responsible for almost all the optical responses between 1.2 and 5.5 eV. It was concluded that optical constants and energy band diagrams of CH3NH3PbI3 can be used to simulate the contributions from different optical transitions to a typical transient absorption spectrum for many optoelectronic applications.
OPTIMIZED ATTRIBUTE BASED ENCRYPTION APPROACH OVER BIG DATA ANALYTICS FOR PRIVACY PRESERVATION IN DATA MINING

Privacy preservation is a significant issue in information-based services. The protection of individual privacy is the primary task for every data mining services. Privacy-based data mining process is fundamental for various services like Military applications, Banking, and Medical research. Data security is one of the significant concerns due to the high availability of individual data as well as the extensive growth of information generated in a day to day life. To guarantee the privacy of sensitive information, an OABE (Optimal Attribute-Based Encryption) scheme over big data implemented. Initially, input data clustered using the PFCM (probabilistic fuzzy c-means) algorithm. After the clustered data fed into the map-reduce framework. For optimization, the proposed method utilizes Rider Optimization Algorithm (ROA), and the proposed scheme's outcome is evaluated through clustering accuracy, error value, memory, and time. The experimental results show that our proposed scheme has achieved maximum accuracy and attains minimum information loss compared to the existing techniques.