Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantitative evaluation of fault propagation in a commercial cloud system

As semiconductor technology scales into the nano regime, hardware faults have been threats against computational devices. Cloud systems are incorporating more and more computing density and energy into themselves; thus, fundamental research on topics such as dependability validation is needed, in order to verify the robustness of clouds for sensor networks. However, dependability evaluation studies have often been carried out beyond isolated physical systems, such as processors, sensors, and single boards with or without operating system hosts. These studies have been performed using inaccurate simulations instead of validating complete cloud software stacks (firmware, hypervisor, operating system hosts and workloads) as a whole. In this article, we describe the implementation of a fault injection tool, which validates the dependability of a commercial cloud software stack. Hardware faults induced by high energy density environments can be injected; the fault propagation through the cloud software stack is traced, and quantitatively evaluated. Experimental results show that the integrated fault detection mechanism of the cloud system, such as fatal trap detectors, has left a detection margin of 20% silent data corruption to narrow down. We additionally propose two detection mechanisms, which proved good performance in fault detection of cloud systems.
HiCoACR: A reconfiguration decision-making model for reconfigurable security protocol based on hierarchically collaborative ant colony

Reconfigurable security protocols, with dynamic protocol configuration and flexible resource allocation, have become a state-of-the-art technology to guarantee the security of space-ground integrated network. However, reconfiguration decision-making for reconfigurable security protocols remains a major challenge in order to adapt to diverse secure service requirements and deploy higher security level but more complicated security strategies in nodes with limited resources and computing abilities. To handle this problem commendably, a hierarchically collaborative ant colony–based reconfiguration decision-making model called HiCoACR is proposed. This model, inspired by the ideas of hierarchical reinforcement learning and population collaboration, decomposes the reconfiguration decision-making problem into two sub-problems by introducing a two-level hierarchy ant colony consisting of the Explorer and the Worker. The Explorer controls directions of protocol reconfiguration and generates abstract scheduling sub-goals which are conveyed from the Worker. While the Worker schedules most suitable cryptogram resources for each sub-goal received and produces the optimal reconfiguration solution which is verified and re-optimized by a Lévy process–based stochastic gradient descent algorithm. Both the Explorer and the Worker adopt a modified version of ant colony algorithm to fulfill its targets, where a hierarchical pheromone is defined to reinforce positive behaviors of each ant colony. Experiment results suggest that HiCoACR outperforms baseline algorithms and possesses well model transferability.
Opportunity, but at what cost? African-American parents' experiences in a predominantly white school

National measures of student achievement, such as the National Assessment of Educational Progress (NAEP), provide evidence of the gap in success between AfricanAmerican and white students. Despite national calls for increased school accountability and focus on achievement gaps, many African-American children continue to struggle in school academically, as compared to their white peers. Ladson-Billings (2006) argues that a deeper understanding of the legacy of disparity in funding for schools serving primarily AfricanAmerican students, shutting out African-American parents from civic participation, and unfair treatment of African-Americans despite their contributions to the United States is necessary to complicate the discourse about African-American student performance. The deficit model that uses student snapshots of achievement such as the NAEP and other national assessments to explain the achievement gap suggests that there is something wrong with African-American children. As Cowen Pitre (2104) explains, however, “the deficit model theory blames the victim without acknowledging the unequal educational and social structures that deny AfricanAmerican students access to a quality education (2014, pg. 212). To reframe the deficit discourse, Linda Darling-Hammond (2010) identifies key factors contributing to an opportunity gap including, unequal access to qualified teachers and a lack of access to high-quality curriculum. This dissertation examined the opportunity gap at a particular predominantly white school. Specifically, I explored the experiences of African-American parents as they navigated and negotiated the institutional challenges and everyday racism they faced in a suburban environment. Four African-American parents from one suburban school district took part in this study. Data were collected using semi-structured interviews and observations, and was informed by
Practical and essential information on water reuse systems in experimental aquaculture production: a descriptive review

The present study reviewed the literature published in recent years on the topic “Recirculating Aquaculture Systems (RAS)”, a technology that makes it possible to grow aquatic organisms more sustainably and environmentally friendly, reducing water consumption, environmental pollution and land use. Commercial and academic application of recirculating aquaculture systems has increased considerably in recent years. The RAS is considered a master key for the increase of sustainable aquaculture, with the possibility of flexibility in its productive structure, ability to control environmental variables and the possibility of production throughout the year. This review provides an overview of aquaculture, RAS, sustainability and research perspectives.
First Record of the Entimine Weevil Genus Rhigus Schoenherr, 1823 (Coleoptera: Curculionidae: Entiminae: Entimini) in Peru: Rhigus speciosus (Linnaeus, 1758) in Madre de Dios

The Neotropical entimine weevil genus Rhigus Schoenherr, 1823, one of eight genera belonging to the tribe Entimini Schoenherr, 1823 (AlonsoZarazaga and Lyal 1999; Vanin and Gaiger 2005), presently consists of 13 recognized uniquely South American species (Gaiger 2001). All but one of these species are distributed in the Atlantic forest biotopes of eastern (and especially southeastern) Brazil, Argentina, and Paraguay (Alonso-Zarazaga and Lyal 1999; Blackwelder 1947; Gaiger 2001), although two of these also occur in the Caatinga and Cerrado habitats of northeastern and southern Brazil (Gaiger 2001). The single remaining species, Rhigus speciosus (Linnaeus, 1758), is a denizen of tropical forest biotopes in the Amazon basin, where it is widely recorded from Brazil (states of Acre, Amapá, Amazonas, Mato Grosso, Pará, and Rondônia) (Gaiger 2001), French Guiana (Wibmer and O’Brien 1986), and, recently, Colombia (departments of Amazonas and Tolima) (Girón and Cardona-Duque 2018). During recent fieldwork conducted by the authors and their students and associates during a tropical ecology field course in the Peruvian Department of Madre deDios, a single specimen ofR. speciosuswas found, revealing for the first time the presence of both the genus Rhigus and that species in Peru. The specimen was identified using the keys in Vaurie (1951) and Gaiger (2001), closely matching the characters and descriptions given in those keys. One specimen: Peru, Madre de Dios, c. 20 km northeast of PuertoMaldonado, 12.4519°, 69.0795°, c. 250 m elevation, 14.iv. 2019, on low roadside vegetation (plant species not noted) in secondary lowland tropical rainforest. The Peruvian locality is a new country record for the genus and species. It fits within the Amazonian subregion distribution pattern for Neotropical Entimini as defined through the generalized track analysis of the tribe by Romo and Morone (2011). The Peruvian locality (Fig. 1) represents both the most westerly and (marginally) the most southerly known distributional limits for the species, with the closest previously recorded locality being Tarauacá in the Brazilian state of Acre, approximately 510 km to the northwest. While the presence of R. speciosus (Figs. 2–3) in Peru is unsurprising given its very wide distribution across lowland Amazonia, formally recording it represents a small contribution towards documenting the incredible insect biodiversity of that megadiverse country.
MODELING OF EXTREMITY DISTAL FIELD HEMODYNAMIC

In this paper the construction of a model of the distal vessels is considered on the basis of O. Frank’s and A. P. Favorskii’s works. An algorithm for numerical solution of the equation of hemodynamics is proposed. A. P. Favorskii’s model is added refined equation of state, the explicit scheme is applied to the intermediate spatial filtering of highfrequency oscillations of the velocity profiles, pressure and cross-section.
An Efficient High Dimensional Indexing Method For Content Based Image Retrieval (CBIR)

: The content based Image Retrieval is the restoration of images with respect to the visual appearances like texture, shape and color.The methods, components and the algorithms adopted in this content based retrieval of images were commonly derived from the areas like pattern identification, signal progressing and the computer vision. Moreover the shape and the color features were abstracted in the course of wavelet transformation and color histogram. Thus the new content based retrieval is proposed in this research paper.In this paper the algorithms were required to propose with regards to the shape, shade and texture feature abstraction . The concept of discrete wavelet transform to be implemented in order to compute the Euclidian distance.The calculation of clusters was made with the help of the modified K-Means clustering technique. Thus the analysis is made in among the query image and the database image.The MATLAB software is implemented to execute the queries. The K-Means of abstraction is proposed by performing fragmentation and grid-means module, feature extraction and K-nearest neighbor clustering algorithms to construct the content based image retrieval system.Thus the obtained result are made to compute and compared to all other algorithm for the retrieval of quality image features
Credit Card fraud analysis and detection Using Machine Learning

: Credit card fraud is a serious and ever-growing problem with billions of dollars lost every year due to fraudulent transactions. Fraud has always been present and will always be. It is also ever changing, as the technology and usage patterns change over time, which makes CCFD (credit card fraud detection) a particularly hard problem. Furthermore, a classification of mentioned techniques into two main fraud detection approaches, namely, misuses (supervised) and anomaly detection (unsupervised) is presented. Again, a classification of techniques is proposed based on capability to process the numerical and categorical datasets. Data will be processed by machine learning based on Decision tree, SVM, Linear regression. Thus, it gives chart based result which has been prejudiced by data mining.
Menstrual hygiene practices among adolescent schoolgirls of rural Mangalore, Karnataka

cultural taboos. Objectives: (1) The objective of this study was to assess the status of menstrual hygiene among adolescent girls, (2) to elicit the rituals and restrictions during menstruation, and (3) to study the common problems related to menstruation. Materials and Methods: A cross-sectional study was conducted among schoolgoing adolescent girl students in rural Mangalore, 116 girls participated in the study. Data were collected by interview method using a predesigned semi-structured questionnaire to obtain information on menstrual hygiene practices, restrictions and common problems during menstruation. Results: Only 68.1% of the study participants perceived menstruation as a normal body process and 55.2% of girls had knowledge about the importance of menstrual hygiene. More than half of the participants believed that sanitary pads are ideal to be used during menstruation, but only 30.2% of them used only sanitary pads. Majority of them (55.2%) reported that they have restrictions during menstruation. Pain abdomen (64.7%) was a common problem during menstruation, others being head ache, back ache, weakness, and feeling sad. Conclusion: The need of the hour is adolescent girls to have accurate and adequate information about menstruation and menstrual hygiene. ABSTRACT
Conditions of Oral Mucosa due to Takhzeen al-Qat

Abstract: Takhzeen al-Qat (Qat chewing habit) in Yemen is widely spread and practiced by millions. Adverse health effects of this habit on body systems and oral tissues have been reported. Objective: The objective of this study was to assess the effects of Qat chewing on buccal and gingival oral mucosa among Yemeni Qat chewers. Methods: This was a cross-sectional study in which subjects were randomly recruited from patients attending dental clinics in two hospitals in Sana'a, Yemen. Subjects were interviewed for chewing and smoking habits and examined clinically for the effects of Qat chewing on buccal and gingival mucosa. Results: A total of 650 subjects satisfied the inclusion criteria. Subjects were 515 (79.20%) males and 135 (20.80%) females. Among these, 490 (75.38%) were Qat chewers. White patch on buccal mucosa recorded in 486 (99.7%) among Qat chewers. White patch on gingival mucosa recorded on 442 (89.8%) among Qat chewers. Gingival recession recorded on 370 (76.0%) among Qat chewers. Differences between chewers and non chewers were statistically significant (p<0.05). Conclusion: This study concluded that mucosal white lesions occurred more frequently in Yemeni Qat chewers.
Integrin Inhibition in the Tumor Microenvironment – more complex than expected

Tumor cell migration and invasion are critical steps in the metastatic cascade and depend on the interaction between tumor cells, the extracellular matrix (ECM) and the endothelial cells. Integrins are key receptors that link cells and ECM, acting as mechanical sensors of the cell microenvironment. Particularly, Arg-Gly-Asp (RGD)-binding integrins such as αvβ3 and α5β1 integrins are of special interest in cancer progression. Integrins also interact with growth factor receptors resulting in an important cross talking between intracellular signaling pathways. Studies have provided evidence of distinct roles for αvβ3 and α5β1 integrins during migration. Therefore, αvβ3 and α5β1 integrins became an attractive target for pharmacological inhibition in cancer therapy and metastasis prevention. Cilengitide, the first integrin inhibitor based on the RGD motif, is currently under clinical trial in cancer patients with limited success. Monoclonal antibodies to integrins also presented modest results. Therefore, efforts to achieve a better understanding on the integrin roles in cancer progression are needed. In the last few years, new mechanisms that may help to explain the lack of success of integrin inhibitors were described and are commented here.
Towards interactive correction of speech recognition errors

In this project we explore how to make quick fixes to simple texts using as few interactions as possible. There are several situations where this could be useful, such as when you are driving (and don’t have access to a keyboard), if your device is too small for a proper keyboard (such as a mobile phone), or if you have a communicative disability (e.g., cerebral palsy, visual impairment, or something else). The main contribution of this work is about improving the online interaction for a user who wants to correct speech recognition errors. The actual error correction algorithm that we have used – based on the Levenshtein edit distance – has not been in focus, and can probably be improved substantially.
Identification and Characterization of a β-N-Acetylhexosaminidase with a Biosynthetic Activity from the Marine Bacterium

β-N-Acetylhexosaminidases are glycoside hydrolases (GHs) acting on N-acetylated carbohydrates and glycoproteins with the release of N-acetylhexosamines. Members of the family GH20 have been reported to catalyze the transfer of N-acetylglucosamine (GlcNAc) to an acceptor, i.e., the reverse of hydrolysis, thus representing an alternative to chemical oligosaccharide synthesis. Two putative GH20β-N-acetylhexosaminidases, PhNah20A and PhNah20B, encoded by the marine bacterium Paraglaciecola hydrolytica S66T, are distantly related to previously characterized enzymes. Remarkably, PhNah20A was located by phylogenetic analysis outside clusters of other studied β-N-acetylhexosaminidases, in a unique position between bacterial and eukaryotic enzymes. We successfully produced recombinant PhNah20A showing optimum activity at pH 6.0 and 50 ◦C, hydrolysis of GlcNAc β-1,4 and β-1,3 linkages in chitobiose (GlcNAc)2 and GlcNAc-1,3-β-Gal-1,4-β-Glc (LNT2), a human milk oligosaccharide core structure. The kinetic parameters of PhNah20A for p-nitrophenyl-GlcNAc and p-nitrophenyl-GalNAc were highly similar: kcat/KM being 341 and 344 mM−1·s−1, respectively. PhNah20A was unstable in dilute solution, but retained full activity in the presence of 0.5% bovine serum albumin (BSA). PhNah20A catalyzed the formation of LNT2, the non-reducing trisaccharideβ-Gal-1,4-β-Glc-1,1-β-GlcNAc, and in low amounts the β-1,2or β-1,3-linked trisaccharide β-Gal-1,4(β-GlcNAc)-1,x-Glc by a transglycosylation of lactose using 2-methyl-(1,2-dideoxy-α-d-glucopyrano)-oxazoline (NAG-oxazoline) as the donor. PhNah20A is the first characterized member of a distinct subgroup within GH20 β-N-acetylhexosaminidases. Int. J. Mol. Sci. 2020, 21, 417; doi:10.3390/ijms21020417 www.mdpi. com/journal/ijms Int. J. Mol. Sci. 2020, 21, 417 2 of 22
A Comparative Study between Intravenous Dexmedetomidine and Propofol for Intraoperative Sedation During Regional Anaesthesia

Background: To get ideal sedative state in patients undergoing surgery in local anesthesia is challenging for Anaesthesiologists. Aim: To evaluate efficacy of intravenous Dexmedetomidine and intravenous Propofol infusion in patients undergoing surgery in regional anaesthesia. Material and Methods: Ninety patients were randomly divided into two groups of 45 each. Group D patients were given I.V. Dexmedetomidine on initial loading dose of 1 μg/kg for 10 minutes period followed by 0.2-0.7 μg/kg/hr. Patients in group P were given I.V. Propofol 75 μg/kg/min for 10 minutes followed by maintenance dose of 12.5-75 μg /kg/min. Sedation level of patients was recorded regularly using Ramsay Sedation Scale. Besides that pulse, blood pressure, respiratory rate, saturation, rescue analgesia and any untoward effect was noted. Result: Dexmedetomidine and Propofol provided adequate sedation needed for MAC but Propofol required rescue analgesia in three patients. Onset and recovery from sedation was earlier with Propofol. Mean heart rate was lower in Dexmedetomidine group and blood pressure was lower in the Propofol group. However both the drugs did not affect respiration. Patients of Dexmedetomidine group developed dryness of mouth. Conclusion: Both Dexmedetomidine and Propofol were effective in providing monitored anaesthesia care but Dexmedetomidine was found to be a better drug as it provided hemodynamic stability, additional rescue analgesia and better sedation.
Algorithm for Low Power IO port Design by Using CGT

-The Clock power is a major component of microprocessor power mainly because the clock is fed to most of the circuit blocks in the processor, and the clock switches every cycle. Thus the total clock power is a substantial component of total microprocessor power dissipation. Clock-gating is a well-known technique to reduce clock power. Because individual circuit usage varies within and across applications, not all the circuits are used all the time, giving rise to power reduction opportunity. By ANDing the clock with a gate-control signal, clock-gating essentially disables the clock to a circuit whenever the circuit is not used, avoiding power dissipation due to unnecessary charging and discharging of the unused circuits. Specifically, clock-gating targets the clock power consumed in pipeline latches and dynamic-CMOS-logic circuits (e.g., integer units, floating-point units, and word-line decoders of caches) used for speed and area advantages over static logic. Clock gating is a well-known technique to reduce chip dynamic power. This paper propose a modified clockgating techniques based on ACG(Adaptive Clock Gating) and instruction level clock gating. The proposed clock gatingtechnique reduces not only switching activity of functional blocks in IDLE state but also dynamic power in running state. Modified ACG can automatically enable or disable the clock of the functional block. The experimental results onsome I/O port core in SoC show an average of 19.45% dynamic power reduction comparing to previous ACG technique. With the scaling of technology and the need for higher performance and more functionality, power dissipation is becoming a major bottleneck for microprocessor designs. Clock power is significant in high-performance processors.
RELATIVE LIGHT INTENSITY AND KITCHEN WASTE COMPOST EFFECTS ON PRODUCTION OF ANDROGRAPHIS PANICULATA

Andrographis paniculata commonly known as “Hempedu Bumi” is widely used as traditional medicine in Asia to treat hypertension, diabetes, flu, sore throat etc. Farming of this plant species as a medicinal plant is challenging because it is necessary to avoid chemicals as far as possible to ensure its quality. This study was conducted to investigate the effects of shading and application of kitchen waste compost on growth performance and yield of potted A. paniculata. Seedlings at six weeks after sowing, having height of 2 to 4 cm, were transplanted into polybags sized 23 x 25 cm containing mixture of top soil, sand and cocopeat at 3:2:2. Kitchen waste compost derived from dumped vegetables, fish refuse and expired or dumped bread at 3:1:2 was prepared with 1 kg cocopeat as bulking agent using an automated mini composter. Composting took one month. The compost was then applied to polybags with moist media mixture at 0, 25, 50, 75 and 100 g per polybag. Compost was incorporated into media at a depth of approximately 5 cm at one week before seedling transplanting. Growth performance and yield of A. paniculata as affected by compost application was studied in the greenhouse under full relative light intensity (RLI) and 50% shade provided by commercial 50% shade netting. Watering was done daily with automated overhead mist sprinkler in the greenhouse. Results showed that plants grown under full RLI did not differ from those under shade netting in height but produced more branches and leaves as the main plant part to harvest. Compost at application rate of 75 to 100 g per polybag was the best to enhance the economic yield of A. paniculata in terms of growth of leaves.