Miracle-dz/UniFAR-FTUs huggingface dataset:
Migration Prediction Approach for Predict the Overloaded and Under Loaded Workload in Cloud Environment

– The resource necessity of any application substance differs dynamically dependent on its plan and other computational conditions like processor, memory, etc. A migration prediction approach is proposed to foresee the over-burden and under stacked hosts, in light of the previous history of execution time taken for different workloads during VM migration. The rough set theory is incorporated in this proposed model to analyze the execution time taken for different workloads. The rough set theory is a popular prediction technique to predict execution time for different workloads during VM. The migration delay is minimized based on the past execution time of each processor for different categories of jobs. The execution time for each processor is calculated and maintained inside the prediction table. The quantity of future migrations is calculated based totally at the feasible allocations that can be made, in order that the migration delay is minimized based at the beyond execution time of each processor for extraordinary categories of jobs. Finally, optimized resource utilization is executed to give the exceptional answer amongst all possible solutions and it reduces makespan fee of jobs.
Adhesive Films Based on Benzoxazine Resins and the Photoreactive Epoxyacrylate Copolymer

UV-cross-linkable and thermally curable self-adhesive structural tapes (SATs) were compounded using solid commercial benzoxazine resins (Araldite MT 35700 and Araldite MT 35910) and a photoreactive epoxyacrylate copolymer (EAC). As initiators of benzoxazine resin polymerization and epoxy component cationic polymerization, two kinds of latent curing agents (LCAs) were tested, i.e., amine type and ionic liquid type. The influence of the benzoxazine resin and the LCA type on the UV-cross-linking process, the self-adhesive features and thermal curing behavior of UV-cross-linked tapes, as well as the shear strength of cured aluminum/SAT/aluminum joints and thermal stability of adhesives were investigated. It was found that the amine additive and the benzoxazine resin take part in the UV-cross-linking process of the EAC as hydrogen donors, which is confirmed by an increase in cohesion (+86%) and a decrease in adhesion (−25%) of SATs. The highest results of adhesion to steel (47 N/25 mm) and overlap shear strength (11.1 MPa) values were registered for SATs based on Araldite MT 35910 and contained 7.5 wt. parts of the amine-type hardener. The formation of a polyacrylate-benzoxazine network has a significant impact on the course of the thermal curing process and the thermomechanical properties of adhesive joints, which was also confirmed by the Cure Index calculation.
A guarda da memória do cuidado em saúde como direito da humanidade

A resenha do Manual de Gestão Arquivística de Documentos em Saúde apresenta o tema do livro e a sua importância para a saúde global. O direito do paciente, os problemas da digitalização e a guarda da memória dos prontuários ganharam uma nova perspectiva com a informatização da assistência à saúde. Considera-se uma contribuição aos direitos humanos no campo da saúde garantir a cadeia de custódia dos registros, prevista na legislação e nos procedimentos recomendados pelo Conselho Nacional de Arquivos no Brasil.
A CMOS Medium Density DNA Microarray with Electronic Readout

A CMOS chip-based approach is reviewed for fully electronic DNA detection. The electrochemical sensor principle used, CMOS integration of the required transducer materials, chip architecture and circuit design issues are discussed, respectively. Electrochemical and biological results obtained on the basis of medium density microarray sensor CMOS chips with 16 × 8 sensor sites prove proper operation.
Enhanced Oxygen Volumetric Mass Transfer in a Geometrically Constrained Vortex

Aeration is one of the most cost intensive steps in water and wastewater treatment due to the large energy requirement for the creation of large surfaces for sufficient gas exchange as well as for providing efficient liquid transport in order to exchange saturated liquid elements at the surface with unsaturated ones from the bulk. In this work we show that geometrically constrained vortices in a hyperbolic funnel are a promising aeration technique as they meet these criteria and allow oxygen transfer coefficients up to 50 h−1, a number significantly higher than that of comparable methods like air jets or impellers (<10 h−1).
Design of a Scoliosis Monitoring System Using Inertial Sensors

This paper presents the design of an innovative system for the diagnosis and treatment of spine disorders, in particular, the scoliosis. The product consists in a mechatronic device that is able to measure in real time the instantaneous position of the human spine, facilitating a precise diagnosis as well as continuous monitoring for prevention and/or treatment of spine disorders.
TET1s deficiency exacerbates oscillatory shear flow-induced atherosclerosis

Background: TET1 has been implicated in regulating inflammation and cardiovascular disease, but a newly discovered short isoform of TET1 (termed TET1s) exhibits higher expression in adult tissues than full-length TET1. However, the precise role of TET1 in cardiovascular disease remains undefined. Methods and Results: Based on TET1-/- knockout mice (with deletion of both TET1 and TET1s ) and TET1cs/cs mice (with deletion of only TET1), we found that TET1s deletion in TET1-/- mice resulted in more serious atherosclerotic lesions in the whole aorta than TET1cs/cs in the ApoE-/- background mice fed a high-fat diet. Atherosclerotic lesions with Oil red staining were dramatically localized in the aortic arch, abdominal aorta and ligated LCA, where they were exposed to OSS. Furthermore, the OSS-induced depression of TET1s in vitro and in vivo increased inflammatory cell and red blood cell infiltration into the subendothelial layer by impairing the vascular intimal barrier. TET1s upregulation enhanced vascular endothelial barrier function by increasing gap protein connexin 40 (CX40) expression as measured by RNA-seq and was confirmed by CX40 knockdown. TET1s interaction with Sin3a increased the global and CX40 promoter histone H3K27 acetylation levels, but not DNA methylation, to induce CX40 expression. Conclusions: These data demonstrate the unexpected discovery that laminar shear stress induces TET1s expression to protect the vascular endothelial barrier by increasing CX40 expression in ECs and that TET1s overexpression may be the core step for OSS-induced atherosclerosis therapy.
Piecewise Linear Thermal Model and Recursive Parameter Estimation of a Residential Heating System

Model predictive control (MPC) strategies show great potential for improving the performance and energy efficiency of building heating, ventilation, and air-conditioning (HVAC) systems. A challenge in the deployment of such predictive thermostatic control systems is the need to learn accurate models for the thermal characteristics of individual buildings. This necessitates the development of online and data-driven methods for system identification. In this paper, we propose a piecewise linear thermal model of a building. To learn the model, we present a Kalman filter based approach for estimating the parameters. Finally, we fit the piecewise linear model to data collected from a residential building with a forced-air heating and ventilation system and validate the accuracy of the trained model.
The Role of Human Capital in Ensuring the Digital Transformation of Russian Companies

The article examines the experience of state corporations and companies with state participation in the implementation of digital transformation programs since, historically, they accumulate best practices. The authors show the paramount importance of corporate human capital when launching digital projects. The factors contributing to and hindering the fuller use of human capital in the digitalisation of companies are identified, and the main indicators of the digital transformation of companies are proposed. It is concluded that Russian companies consider more efficient use of technologies, such as data-based management and customer experience management, as a priority of the digital transformation strategy. While it is evident that accumulated human capital plays a significant role in the digitalisation of business processes. The main areas that contribute to the company's innovation potential and long-term competitiveness are creating its new products (R&D) and the development of human capital and competencies (digital culture).
Computational fluid dynamics provide evidence for a compensatory suction

12 Most fast-moving aquatic predators face the challenge of bow wave formation. Water in front of the 13 predator alarms or even displaces the prey. To mitigate the formation of such a bow wave, a strategy 14 aiming at pressure reduction via suction has evolved convergently in several animal groups: 15 compensatory suction feeding. The aquatic larvae of dragonflies and damselflies (Insecta: Odonata) 16 are likely to face this challenge as well. They capture prey underwater using a fast-moving raptorial 17 appendage, the so-called prehensile labial mask. Within dragonflies (Odonata: Anisoptera) two basic 18 shapes of the prehensile labial mask have evolved, with an either flat and slender or concave distal 19 segment. While the former is a pure grasping device, the latter is also capable of scooping up smaller 20 prey and retaining it inside the cavity by arrays of bristle-like structures. The hydrodynamics of the 21 prehensile labial mask was previously unknown. We used computational fluid dynamic (CFD) 22 simulations of the distal segment of the mask, to investigate for the first time how different shapes 23 of the mask impact their function. Our results suggest that both shapes are highly streamlined and 24 generate a low-pressure area, likely leading to an effect analogous to compensatory suction feeding. 25 This presents a vivid example of how convergent evolution enables very different animal groups to 26 successfully deal with the challenges of their environment. It may also be an interesting concept for 27 technical application in small scale grasping devices; e.g. for simple sampling mechanisms in small28 sized autonomous underwater vehicles (μAUVs). 29
CANDLES: Channel-Aware Novel Dataflow-Microarchitecture Co-Design for Low Energy Sparse Neural Network Acceleration

Several deep neural network (DNN) accelerators have been designed to exploit the sparsity exhibited by DNN activations and weights. State-of-the-art sparse accelerators can be described as either Pixel-first or Channel-first accelerators, each with its unique dataflow and compression format aiding its dataflow. The former expends significant energy updating neuron partial sums, while the latter expends significant energy in handling the index metadata. This work introduces a novel microarchitecture and dataflow that reconciles these trade-offs by adopting a Pixel-first compression and Channel-first dataflow. The proposed microarchitecture has a simpler index-generation logic combined with an accumulator buffer hierarchy and crossbar with low wiring overhead. The compression format and dataflow promote high temporal locality in neuron updates, further lowering energy. Finally, we introduce work partitions across processing elements that naturally lead to load balance without offline analysis. Compared to four state-of-the-art baselines, the proposed architecture, CANDLES, significantly outperforms three and matches the performance of the fourth. In terms of energy, CANDLES is between 2.5× and 5.6× more energy-efficient than these four baselines.
Dimensionality Reduction and Prioritized Exploration for Policy Search

Black-box policy optimization is a class of reinforcement learning algorithms that explores and updates the policies at the parameter level. This class of algorithms is widely applied in robotics with movement primitives or non-differentiable policies. Furthermore, these approaches are particularly relevant where exploration at the action level could cause actuator damage or other safety issues. However, Black-box optimization does not scale well with the increasing dimensionality of the policy, leading to high demand for samples, which are expensive to obtain in real-world systems. In many practical applications, policy parameters do not contribute equally to the return. Identifying the most relevant parameters allows to narrow down the exploration and speed up the learning. Furthermore, updating only the effective parameters requires fewer samples, improving the scalability of the method. We present a novel method to prioritize the exploration of effective parameters and cope with full covariance matrix updates. Our algorithm learns faster than recent approaches and requires fewer samples to achieve state-of-the-art results. To select the effective parameters, we consider both the Pearson correlation coefficient and the Mutual Information. We showcase the capabilities of our approach on the Relative Entropy Policy Search algorithm in several simulated environments, including robotics simulations. Code is available at https://git.ias. informatik.tu-darmstadt.de/ias\_code/aistats2022/dr-creps}{git.ias. informatik.tu-darmstadt.de/ias\_code/aistats2022/dr-creps.
EXPLORING RECENT CHALLENGES IN CYBER SECURITY AND THEIR SOLUTIONS

: The running era can be termed as an era of the internet, as the use of the internet is increasing day by day. Every coin has two sides, so is the coin of the internet. One side shows the ease of communication, sharing information, marketing, and businesses, etc with the use of the internet. On the other hand, it brings a crucial concern on the security part. Cybersecurity is the field that promises to safeguard the network, data, electronic devices, servers, computers from malicious attacks. By cybersecurity, we mean staying ahead of hackers and preventing exploitation of the system. Hackers are getting smarter day by day, thereby bringing new challenges to cybersecurity experts. News about threats like ransomware, phishing, vulnerability exploits, IoT-based attacks, etc, run around us most of the time nowadays. The current study describes well-known common challenges and discloses some new challenges in cybersecurity and suggested possible solutions to overcome them.
A Diterpene Isolated from Ficus sur Forssk (Moraceae) and it’s Alpha-Amylase Inhibition Activity

The prevalence of diabetes mellitus is increasing worldwide. The objective is to investigate and characterize the alpha-amylase inhibition principles of the leaves of Ficus sur Forssk (Moraceae) used in ethnomedicine for management of diabetes mellitus. Powdered leaves were successively macerated with N-hexane, chloroform and 70% ethanol respectively for three consecutive days. The extracts were assessed for phytochemicals and inhibition of alpha-amylase. Alpha-amylase inhibition was assessed using porcine α-amylase. Bioactive n-hexane extract was fractionated on column chromatography packed with Silica Gel G (mesh 60-120) and eluted with gradient mixture of hexane, ethyl acetate and ethanol. Active fractions (F1 - F5) were purified on preparative thin layer chromatography. Active pure compounds were assessed for bioactivity and identified by spectroscopy (UV, IR, MS and NMR). The n-hexane extracts of the plant exhibited highest significant (p < 0.05) inhibition. Fraction F4 was the most active and was and compound FB was characterized from it as a novel abietane-type diterpene (4,7,10-b-trimethyl-benzofuro[c]-6,6-a,8,9,10,10-a-hexahydroisochromene-7-carboxylic acid) with 55% inhibition of alpha-amylase at 50µg/ml. This work reports for the first time a novel diterpenoid from Ficus sur with alpha-amylase inhibition activity.
Students’ Linguistic Challenges in Post-Editing of Machine Translation

This research seeks to investigate linguistic challenges encountered by students in translating news from English into Indonesian through a process of post-editing of machine translation (PEMT). Since the research on this particular language pair has not been widely explored by Indonesian researchers, therefore, this study should be thoroughly undertaken to provide the students with a comprehensive description of the linguistic problems faced in their translating activities. A qualitative method with a case study design was implemented to portray 58 students who voluntarily participated in the PEMT process. Research data were obtained from students’ survey questionnaires, students’ in-depth interviews, and students’ translation documents taken from some online media individually selected by students in a Practice of Translating (PoT) course. The data were analyzed by using a thematic analysis with regard to the students’ translating activities and their obstacles found during PEMT practices. Three dominant themes drawn from the data, including: students’ insufficient subject knowledge in translating proper names; particular grammatical problems found in the use of pronouns and in the differences of language structures between English and Indonesian; and mechanical errors identified in the use of punctuations, capitalization, spelling, and inconsistency in using specific terminologies. These research findings have recommended that appropriate teaching techniques should be created by the lecturers to optimally reach the objectives of PEMT teaching.
A gain‐of‐function GRIA2 variant associated with neurodevelopmental delay and seizures: Functional characterization and targeted treatment

α‐Amino‐3‐hydroxy‐5‐methyl‐4‐isoxazolepropionic acid‐type glutamate receptors (AMPARs) are ligand‐gated cationic channels formed from combinations of GluA1‐4 subunits. Pathogenic variants of GRIA1–4 have been described in patients with developmental delay, intellectual disability, autism spectrum disorder, and seizures, with GRIA2 variants typically causing AMPAR loss of function. Here, we identify a novel, heterozygous de novo pathogenic missense mutation in GRIA2 (c.1928 C>T, p.A643V, NM_001083619.1) in a 1‐year‐old boy with epilepsy, developmental delay, and failure to thrive. We made patch‐clamp recordings to compare the functional and pharmacological properties of variant and wild‐type receptors expressed in HEK293 cells, with and without the transmembrane AMPAR regulatory protein γ2. This showed GluA2 A643V‐containing AMPARs to exhibit a novel gain of function, with greatly slowed deactivation, markedly reduced desensitization, and increased glutamate sensitivity. Perampanel, an antiseizure AMPAR negative allosteric modulator, was able to fully block GluA2 A643V/γ2 currents, suggesting potential therapeutic efficacy. The subsequent introduction of perampanel to the patient's treatment regimen was associated with a marked reduction in seizure burden, a resolution of failure to thrive, and clear developmental gains. Our study reveals that GRIA2 disorder can be caused by a gain‐of‐function variant, and both predicts and suggests the therapeutic efficacy of perampanel. Perampanel may prove beneficial for patients with other gain‐of‐function GRIA variants.
Conceptual Framework of Corporate Governance on Initial Public Offerings Price Performance: An Evidence from Indian Capital Market

Initial Public Offerings (IPOs) are unique economic and governance events as privately held firms issue common stock or shares to the public for the first time. The governance issues surrounding IPOs are relatively unexamined compared to more established, and usually larger, firms. As such, they provide a unique context to study corporate governance and its development around the world. The end result is a broad and deep assessment of governance practices and IPO activity for an array of economies that represent tiny portion of the global economy. This paper provides new insights into what a global theory of corporate governance might look like and offer guidance to policy makers and academics regarding national governance configurations.
THE ROLE OF COMPETENCY ON SERVICE DELIVERY

The study aimed at establish relationship between competence and service delivery; and to study or determine factors structure between competence and service delivery. The study findings show that the majority of the employees in Jubek state agreed that their performance is influenced by motivation. The more motivated employees to work, the better the quality service delivery, Thus, the motivation needs to be maintained and enhanced, for example, through awards, appreciation of the work done, training capacity building, good working environment as well as promotions and growth in the company. The study also confirms and supports several previous studies that employee competence has a significant and positive effect on service delivery. The better the competency of the employees, the better the quality of the services provided. According to the staff in Jubek state, employee competence with the indicators of understanding the regulations, technical procedure, duties, and responsibilities will significantly affect the reliability of the employees to provide technical service, to answer customer inquiries and to response complaints. A good competence employee will provide a good service. A qualified service can be delivered to the maximum if the employee has a good competence in their field.
Towards Well Being: Scaling the association between religiosity and happiness

The relation among religion and happiness can be tricky to define. While both make up part of a person's wellbeing, belief and trust. Where Happiness refers to an individual's emotions, feelings or moods there the same research found the happiest people tend to be religious and more devotee towards various rituals perform in the society thereafter it is associated with the feeling of contentment. Various threads has been linked with the term happiness to get some meaningful relationships over the years. Therefore, it become interesting to find out some imperative correlation if any exist among the religious activities and happiness. In the present paper we attempt to find out the linkage between these two variables in India with the sample of approximately 4000 individuals that was taken from World Value Survey 6 i.e. 2010-14.
Real-time burst detection based on multiple features of pressure data

Pipe bursts are an essential issue for water loss in water distribution systems. This study proposes a real-time burst detection method that combines multiple data features of multiple time steps. The method sets burst thresholds in three dimensions according to different moments at a specific monitoring point, and achieves burst identification based on a classification model. First, three data features, namely, absolute pressure value, predicted deviation value obtained by prediction model, and pressure variation value, of historical pressure at each time step are scored based on the Western Electric Company rules. The scores represent different abnormalities. Then, the scores corresponding to the three features are used as input of the decision tree classification model. The trained model is used for detecting burst events. Results show that this method achieves 99.56% detection accuracy, indicating that it is effective for burst detection. The proposed method outperformed the single feature-based method and provides good results in water distribution systems.