Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of Cooperative Caching Algorithms Using Remote Client Memory

As technology is advancing, processor’s speed is increasing much faster than disk access speed. So it becomes necessary to decrease the number of disk accesses by the distributed file system to gain overall performance improvement of the system. As network speed has increased tremendously in recent time, accessing data from remote client machine memory is faster than accessing data from the disk. Thus file caches from number of client machines connected over a high speed network can be combined together to form a global cache, this is called cooperative caching. In cooperative caching when data is requested and if the data is not present on client’s local cache, the request is satisfied by another client machine cache if possible. In a typical client server based distributed file system there are 3 levels in memory hierarchy: server disk and server memory, client memory. Cooperative cache can be seen as a fourth level of cache in the distributed file system. The project will implement the following five different read only cooperative caching algorithms using remote client memory: Direct Client Cooperative caching, Greedy Forwarding Algorithm, Centralized Coordinated Cache Algorithm, N-Chance Forwarding Algorithm and N-Chance Forwarding with Centrally Coordinated Cache Algorithm. The project will then compare the performance of the algorithms based on different evaluation metrics such as average read performance, number of disk access, global and local hit ratio. These algorithms though simple in implementation and without major architecture changes can provide really good read performance by decreasing the number of disk accesses and hence reduce total access time. Keywords—Cooperative Caching,Remote,client,Memory, processor’s speed,disk access.
Removing the Rain Streaks from The Video Using MCA Algorithm

Removing rain streaks from the video is the challenging task and has been researched broadly. But finding the exact problem in removing the rain streaks in a single image is still unclear. In this paper for removing rain streaks from a single image, MCA algorithm is used. It is based on the structural component, which is directly applied conventional image decomposition method. Using bilateral filter the image is decomposed into low frequency and high frequency. Using MCA algorithm high frequency part is filtered into rain component and non rain component. The rain components from the image will be removed. Hence a clarity image will be given as output.
Developing Context-Aware Dialoguing Services for a Cloud-Based Robotic System

In the development of service robots, building dialoguing services for robots to provide natural human-robot interactions and enhancing user experiences is now advocated. In this type of service, a robot can play the role of a knowledgeable consultant and deliver domain-specific knowledge to end users. Following our previous studies in constructing action-oriented robot services, in this paper, we adopt a service-oriented framework to develop a context-aware dialoguing service for a cloud robot. Our work has several unique features: it trains a deep neural model to generate answers in response to the users’ questions, utilizes an external knowledge resource to further enrich knowledge for searching for answers, constructs a reasoning procedure to exploit the answers of similar questions, and most importantly, and develops an integrated approach that embeds both contextual information and dialoguing content in the same model. To evaluate the proposed approach, we conducted a series of experiments and implemented several strategies for performance comparison. The results confirmed the usefulness and effectiveness of the integrated context and content approach.
Analysis of Virtual Machine during OLTP

Cloud Computing is widely used for applications based on databases such as e-commerce or online game. Load distribution is important aspect for such applications to provide computational resources on demand. In these system, virtualization is used from the point of view of managing cost and monetary cost, and VM live migration can be used for load distribution. In this paper, we point out that just using VM live migration in the system where multple VMs issuing queries for load distribution can cause performance degradation, and VM live migration considering databases’ caches is necessary. Then we consider the load distribution system prevents performance degradation by utilizing database cache information. Furthermore, we analyze VM behavior during OLTP, and clarify the problem of OLTP load distribution using VM live migration.
Radiative Energy Flux Variation from 2001–2020

Radiative energy flux data, downloaded from CERES, are evaluated with respect to their variations from 2001 to 2020. We found the declining outgoing shortwave radiation to be the most important contributor for a positive TOA (top of the atmosphere) net flux of 0.8 W/m2 in this time frame. We compare clear sky with cloudy areas and find that changes in the cloud structure should be the root cause for the shortwave trend. The radiative flux data are compared with ocean heat content data and analyzed in the context of a longer-term climate system enthalpy estimation going back to the year 1750. We also report differences in the trends for the Northern and Southern hemisphere. The radiative data indicate more variability in the North and higher stability in the South. The drop of cloudiness around the millennium by about 1.5% has certainly fostered the positive net radiative flux. The declining TOA SW (out) is the major heating cause (+1.42 W/m2 from 2001 to 2020). It is almost compensated by the growing chilling TOA LW (out) (−1.1 W/m2). This leads together with a reduced incoming solar of −0.17 W/m2 to a small growth of imbalance of 0.15 W/m2. We further present surface flux data which support the strong influence of the cloud cover on the radiative budget.
Method of data replication in a distributed data storage system and corresponding device

PURPOSE: A data replicating method of a distributed data storing system and a device thereof are provided to optimize the distributed storing system by using the number of data replica at a desired level. CONSTITUTION: A replication set is selected about the storage of a data item(401). A timeout value about a timer is determined about a storing device(402). The timer is started from a distributed data storing system. A second storing device is added to the replication set(404).
Input apparatus and control method of input apparatus

Input devices are touch for the touch sensor 11, a load detector 12 for detecting the pressing load on the touch surface (11a) of the touch sensor 11 for receiving an input, to vibrate the touch surface (11a) claim for study 13, and the case, said touch surface (11a) the pressing target (pressing means), which presses the to the pressing force detected by the load detector 12 meets the first criteria for providing a tactile , so that the click feeling is provided for a control unit 15 for controlling the operation of the tactile provider (13). When the control section 15, the click feel after the pressing force detected by said first reference than the second reference the force detection unit 12 for low met supplied at pressure, released corresponding to the click feeling and the sense of touch controls the driving of the supply unit 13 to be provided to the touch. In this way, the operator when operating the touch sensor, a push-is available to the operator similar to that realistic tactile click obtained when the button switch operation, allows the operator to input a continuous operation without any uncomfortable feeling.
Ipsilateral Hip Dislocation with Knee Fracture Dislocation: A Rare Combination

Simultaneous occurrence of ipsilateral hip dislocation with knee fracture dislocation is a rare combination of injuries caused by high energy trauma with motor vehicle accidents and sporting injuries accounting for maximum number of cases. There is also paucity of literature on these types of injuries so there are high chances of overlooking one injury in the presence of other. The clinician should perform a thorough examination to avoid this error. The patient requires prompt attention, resuscitation and urgent reduction of
Robust IV Inference with Clustering Dependence*

Linear IV models with clustering dependence are widely used in empirical studies, although the common solution, the cluster covariance estimator, often produces undesirable inferential results, especially with weak instruments. In this paper, I propose a method that is robust to both weak IV and (potentially heterogeneous) clustering dependence. The proposed method is based on the idea of Fama-MacBeth estimation, with group-level estimators being a truncated version of the unbiased IV estimator. Asymptotic validity is shown under both strong and weak IV sequences, as well as under general requirements. Simulation results indicate the method has good finite-sample performance in both size and power. The proposed method is applied to study the effect of city compactness on population density.
Formal Specification and Verification of Hyperledger Fabric Chaincode

Smart contracts are programs building on blockchain technology. They implement functionality that has been agreed on between the concerned parties on a network. However, their immutability and exposed position make them vulnerable to programming errors, leading to faulty behavior and possible exploits. Therefore, smart contracts demand a particularly thorough analysis, ideally using formal program verification. In this paper, we present an approach for the deductive verification of Hyperledger Fabric smart contracts using the KeY prover. We have extended KeY to handle Fabric ledger implementations; in particular, we have developed mechanisms for reasoning about serialization and object persistence. The feasibility of our approach is demonstrated with a small case study.
Fast Successive-Cancellation-Based Decoders of Polar Codes

The successive-cancellation list (SCL) and successive-cancellation flip (SCF) decoding can be used to improve the performance of polar codes, especially for short to moderate length codes. However, their serial decoding nature results in significant decoding latencies. Implementing some operations in parallel can reduce their decoding latencies. This paper presents fast implementations of the SCL and SCF decoders. In particular, we propose fast parallel list decoders for five newly identified types of nodes in the decoding tree of a polar code, which significantly improves the decoding latency. We also present novel fast SCF decoders that decode some special nodes in the decoding tree of a polar code without serially computing bit log-likelihood ratios. Using our proposed fast parallel SCF decoders, we observed an improvement up to 81% with respect to the original SCF decoder. This significant reduction in the decoding latency is observed without sacrificing the bit-error-rate performance of the code.
Characteristic spectra of class I and II HLA-alleles in patients with different clinical forms of juvenile idiopathic arthritis in the Republic of Belarus

The genes of the major histocompatibility complex (HLA) play a significant role in the genetic predisposition to juvenile idiopathic arthritis (JIA) and determine up to 18 % of disease risk. This work was aimed to reveal associations of the HLA characteristic pattern with two clinically different forms of JIA in the Belarusian population. 24 patients diagnosed with systemic JIA, 24 patients with oligoarticular JIA and 24 healthy controls were included into the study. High-throughput HLA typing for 11 loci was performed using TruSight HLA v2 Sequencing Panel (Illumina) on the MiSeq system. DQB1*04:02:01 (p = 0.026; OR 5.88 [1.20–28.72]), DRB1*08:01:01 (p = 0.07; OR 3.94 [1.01–15.39]) and DR8-haplotype (p = 0.006; OR 3.95 [1.34–11.63]) frequencies were significantly higher in patients with oligoarthritis but not systemic JIA when compared with controls. While DQA1*05:01:01 and DQB1*02:01:01 alleles showed a protective effect against both systemic (p = 0.007, OR 0.08 [0.009–0.65]; p = 0.01, OR 0.09 [0.01–0.83]) and oliarticular JIA (p = 0.026, OR 0.16 [0.03–0.79]; p = 0.046, OR 0.2 [0.04–1.00], the negative association of the DRB1*03:01 allele was revealed only for systemic JIA (p = 0.03, OR 0.11 [0.01–0.88]). Thus, the obtained results suggest that different HLA-patterns are involved into the formation of various JIA subtypes.
CYTOTOXICITY, ANTITUMOUR AND ANTICARCINOGENIC ACTIVITY OF CURCUMA LONGA ESSENTIAL OIL

In the present study, we have evaluated the antitumour and anticarcinogenic activity of turmeric essential oil in vivo. Turmeric essential oil was found to have significant in vitro cytotoxic activity against Dalton’s lymphoma ascites cells (DLA) and Ehrlich ascites carcinoma (EAC) cancer cell lines. Concentration needed for 50% cytotoxicity (IC50) was 8 μg for DLA cells and 18 μg to EAC cell lines. Oral administration of turmeric essential oil was found to significantly increase the life span (56.25%) of Dalton’s Lymphoma Ascites (DLA) induced ascites tumour bearing mice as well as significantly reduced (P<0.001) the solid tumours. 3-Methyl cholanthrene induced sarcoma development was also delayed and there was significant increase in the life span of mice after oral administration of turmeric essential oil. Moreover, turmeric essential oil significantly (P<0.001) inhibited phenobarbitone induced cytochrome p450 enzyme activity in rats.
An Efficient Privacy Preserving Location Proofs for Mobile users

Location-based services are rapidly becoming veryy popular nowadays. In addition to services based on users current location, many potential services depend on users location information, or their spatial-temporal origin. Intruders may lie about their spatial-temporal provenance without designing an appropriate security system for users to prove their past locations. In this paper our prototype implementation in the network domain is to prove users location with proof using CA [Certificate Authority] for encryption and decryption, for an organization. The encryption and decryption is doneusing SHA-1[Secured Hash Algorithm]. The SHA-1 algorithm is an efficient algorithm for encryption and decryption Keywords—Spatial-temporal provenance, Intruder, Certificate Authority, Secured Hash Algorithm
Research on Privacy-Preserving Methods of Electronic Medical Records

With the development of Internet technology, electronic medical records (EMRs) are gradually replacing the traditional medical records because of their advantage of portability and ease of storage. At the same time, due to the large number of patient data in EMRs, protecting patients’ privacy is an increasing concern that should not be overlooked or understated. This paper studies the privacy preservation mechanism of electronic medical records through two aspects: In the hospital information system, it is analyzed from the policy and regulation, management mechanism and technology level; In the aspect of EMR publishing, this paper mainly introduces K-Anonymity mechanism and differential privacy, which are commonly used privacy protection methods for data publishing.
MINING TOP-K FREQUENT SEQUENTIAL PATTERN IN ITEM INTERVAL EXTENDED SEQUENCE DATABASE

Abstract. Frequent sequential pattern mining in item interval extended sequence database (iSDB) has been one of interesting task in recent years. Unlike classic frequent sequential pattern mining, the pattern mining in iSDB also consider the item interval between successive items; thus, it may extract more meaningful sequential patterns in real life. Most previous frequent sequential pattern mining in iSDB algorithms needs a minimum support threshold (minsup) to perform the mining. However, it’s not easy for users to provide an appropriate threshold in practice. The too high minsup value will lead to missing valuable patterns, while the too low minsup value may generate too many useless patterns. To address this problem, we propose an algorithm: TopKWFP – Top-k weighted frequent sequential pattern mining in item interval extended sequence database. Our algorithm doesn’t need to provide a fixed minsup value, this minsup value will dynamically raise during the mining process
Laetantesicola Maris Gen. Nov., Sp. Nov. Isolated From the Sea of Japan Shallow Sediments.

A Gram-negative, non-motile bacterium КММ 3653T was isolated from a sediment sample from the Sea of Japan seashore, Russia. On the basis of the 16S rRNA gene sequence analysis the strain КММ 3653T was positioned within the family Rhodobacteraceae (class Alphaproteobacteria) forming a distinct lineage with the highest gene sequence similarities to the members of the genera Pacificibacter (95.2-94.7%) and Nioella (95.1-94.5%), respectively. According to the phylogenomic tree based on 400 conserved protein sequences, strain КММ 3653T was placed in the cluster comprising Vannielia litorea, Nioella nitratireducens, Litoreibacter albidus and Pseudoruegeria aquimaris as a separate lineage adjacent to Vannielia litorea KCTC 32083T. The average nucleotide identity values between strain КММ 3653T and Vannielia litorea KCTC 32083T, Nioella nitratireducens KCTC 32417T, Litoreibacter albidus KMM 3851T, and Pseudoruegeria aquimaris CECT 7680T were 71.1, 70.3, 69.6, and 71.0%, respectively. Strain КММ 3653T contained Q-10 as the predominant ubiquinone and C18:1ω7c as the major fatty acid followed by C16:0. The polar lipids were phosphatidylcholine, phosphatidylglycerol, diphosphatidylglycerol, an unidentified phospholipid, two unidentified aminolipids, and five unidentified lipids. The DNA G+C content of 61.8 % was calculated from the genome sequence. Based on the phylogenetic evidence and distinctive phenotypic characteristics, strain КММ 3653T is proposed to be classified as a novel genus and species Laetantesicola maris gen. nov., sp. nov. The type strain of Laetantesicola maris gen. nov., sp. nov. is КММ 3653T (=KCTC 82575T).
A Review on Cloud Computing and its Security Issues

Cloud computing is the development of parallel computing, distributed computing, grid computing and virtualization technologies which define the shape of a new era. For the sharing resources that contains software, applications, infrastructures and business processes, cloud computing is the main key. Cloud computing is a significant advancement in the delivery of information technology and services. Cloud computing offers compelling advantages in cost, speed, and efficiency. Cloud computing has recently reached popularity and developed into a major trend in IT. This paper focuses on the deployment model of cloud which consists of private cloud, public cloud, hybrid cloud, community cloud . This paper also focuses on architectural components of cloud which consists of Saas, Paas, Iaas. This paper also focuses on security issues and security challenges.
Information searching behaviors among Vietnamese students during first wave of the COVID-19 pandemic

Objective: This study aims to describe the COVID-19 related information searching behaviors and the relationship between those behaviors and the satisfaction with the COVID-19 related information searched on the Internet among university students during first wave of the COVID-19 pandemic in Vietnam. Methods: A cross-sectional study was conducted by a web-based survey from April 25, 2020 to May 9, 2020. Convenient sample with the method of snowball sampling was applied, 1003 students were obtained totally. Multivariable logistic regression model was used to identify the associations between those behaviors and the satisfaction with the COVID-19 related information searched on the Internet. Results: Search engines were the most popular sources used for online COVID-19 information seeking (95.3%), followed by Social media (92.4%) and News portals (91.6%). About 90% of participants searched the information related to the current spread of the coronavirus, followed by symptoms of the COVID-19 (81.8%) and individual measures to protect against infection (81.9%). Vietnamese remains the main language of the sources with 70.3% of participants used. There’s 45.8% of participant satisfied about the COVID-19 related information. The group of participants who sought information about prevention was 0.47 times less dissatisfied than the group that did not search. Conclusion: There are significant associations between searching topics related to prevention and the COVID-19 related information satisfaction searched on the Internet. These results highlight the need for providing efficient information related to the COVID-19 pandemic as well as seriously consider focusing more on social media to better bring official information to the public. Keywords: COVID-19, information searching behaviors, university students, satisfaction
Automated Writing Evaluation and Feedback: Multiple Metrics of Efficacy

The present study extended research on the effectiveness of automated writing evaluation (AWE) systems. Sixth graders were randomly assigned by classroom to an AWE condition that used Project Essay Grade Writing (n = 56) or a word-processing condition that used Google Docs (n = 58). Effectiveness was evaluated using multiple metrics: writing self-efficacy, holistic writing quality, performance on a state English language arts test, and teachers' perceptions of AWE's social validity. Path analyses showed that after controlling for pretest measures, composing condition had no effect on holistic writing quality, but students in the AWE condition had more positive writing self-efficacy and better performance on the state English language arts test. Posttest writing self-efficacy partially mediated the effect of composing condition on state test performance. Teachers reported positive perceptions of AWE's social validity. Results emphasize the importance of using multiple metrics and considering both contextual factors and AWE implementation methods when evaluating AWE effectiveness.
Conference Report: Why R? 2018

The primary purpose of the Why R? 2018 conference was to provide R programming language enthusiasts with an opportunity to meet and discuss experiences in R software development and analysis applications, for both academia and industry professionals. The event was held 2-5 August, 2018 in a city of Wroclaw, a strong academic and business center of Poland. The total of approximately 250 people from 6 countries attended the main conference event. Additionally, approximately 540 R users attended the pre-meetings in eleven cities across Europe (Figure 2).
On-line palm print, palm vein image personal identification method and its special capturing instrument

The present invention relates to an on-line palmprint and palm vein image identity identification method and a special acquisition instrument thereof. An on-line palmprint and palm vein image acquisition instrument consists of a digital video camera, a visible light source, an infrared light source, astigmatism paper, a single chip microcomputer controller, communication interfaces, a computer, an instrument bracket, an instrument shell, an instrument box and a palm box, wherein, the instrument shell is fixed on the instrument bracket, forming the instrument box in which the digital video camera, the visible light source, the astigmatism paper and the single chip microcomputer controller are arranged; the digital video camera and the single chip microcomputer controller are connected with the computer through the communication interfaces; the palm box is communicated with the instrument box. The instrument of the present invention is used to acquire palmprint images and palm vein images in higher resolution, has the advantages of real-time acquisition as well as nearly simultaneous acquisition of palmprint and palm vein images, and can meet the requirements of on-line identity identification. The image identity identification method of the present invention has better anti-counterfeiting property and higher recognition rate.