Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and analysis of a scalable algorithm to monitor chord‐based p2p systems at runtime

Peer‐to‐peer (p2p) systems are a highly decentralized, fault tolerant, and cost‐effective alternative to the classic client–server architecture. Yet companies hesitate to use p2p algorithms to build new applications. Due to the decentralized nature of such a p2p system the carrier does not know anything about the current size, performance, and stability of its application. In this paper, we present an entirely distributed and scalable algorithm to monitor a running p2p network. The snapshot of the system enables a telecommunication carrier to gather information about the current performance parameters of the running system as well as to react to discovered errors. Copyright © 2007 John Wiley & Sons, Ltd.
Hygiene Aspects of the Biogas Process with Emphasis on Spore-Forming Bacteria

Biogas is a renewable source of energy which can be obtained from processing of biowaste. The digested residues can be used as fertiliser. Biowaste intended for biogas production contains pathogenic micro-organisms. A pre-pasteurisation step at 70°C for 60 min before anaerobic digestion reduces non spore-forming bacteria such as Salmonella spp. To maintain the standard of the digested residues it must be handled in a strictly hygienic manner to avoid recontamination and re-growth of bacteria. The risk of contamination is particularly high when digested residues are transported in the same vehicles as the raw material. However, heat treatment at 70°C for 60 min will not reduce spore-forming bacteria such as Bacillus spp. and Clostridium spp. Spore-forming bacteria, including those that cause serious diseases, can be present in substrate intended for biogas production. The number of species and the quantity of Bacillus spp. and Clostridium spp. in manure, slaughterhouse waste and in samples from different stages during the biogas process were investigated. The number of species of clostridia seemed to decrease following digestion, likewise the quantity. However, Bacillus spp. seemed to pass unaffected through the biogas process. In laboratory-scale experiments the effects on clostridia during pasteurisation and digestion were investigated. Pathogenic clostridia were inoculated in substrates from homogenisation tanks and digester tanks. The inoculated clostridia remained after pasteurisation, but the impacts of digestion differ between different species. Culture followed by identification of C. chauvoei by PCR in samples from cattle died from blackleg, is faster and safer than culture followed by biochemical identification of C. chauvoei. However, for environmental samples the PCR method is not practically applicable for detection of C. chauvoei. To avoid spreading of diseases via biogas plants when digested residues are spread on arable land, a pasteurisation stage at 70°C for 60 min before anaerobic digestion gives adequate reduction of most non spore-forming bacteria, such as salmonella. However, caution should be exercised before digested residues are spread in areas without endemic problems of pathogenic spore-forming bacteria. In Sweden, official recommendation is that digested residues from biogas plants only should be applied on arable land, and not on grasslands for animal pasture.
Abdominal diameter as a predictor of obesity in aging adults

Amy L. Morgan, Advisor Obesity can cause major health implications, however, abdominal adiposity increases risk of comorbidities, such as cardiovascular disease (Sabol & Molloy, 2015; Suk et al., 2003). Common methods for assessing abdominal adiposity in a clinical setting include body mass index (BMI) and waist circumference (WC). The purpose of this study was to investigate if sagittal abdominal diameter (SAD) was an appropriate measure of adiposity when compared to other body composition measures. Subjects were 100 men (n=38) and women (n=62) aged 50 years and older (59 ±7.6 years). SAD was measured using a Holtain-Kahn Abdominal Caliper (M:22.7±3.1; F:21.9±7.6). Height and weight were assessed via stadiometer and calibrated electronic scale; BMI was calculated as kg/m (M: 27.4±4.7; F:26.4±5.9). WC was measured using a Gulick tape at two anatomical points; narrowest waist (WCN) (M: 93.2±9.4; F: 83.4±12.4) and level with the umbilicus (WCU) (M: 97.1±11.2; F: 90.6±13.1). Each participant completed body composition analysis via bioelectrical impedance analysis (BIA) (M: 23.3±6.9; F: 33.4±9.0) and air-displacement plethysmography (ADP) (M: 25.9±7.0; F: 35.8±8.9). Percent fat estimated by ADP was used as the criterion measure of body composition in this investigation. When using a cut-point of <25cm for SAD, 28% of participants were correctly classified as lean according to percent fat via ADP. Of the variables measured, BMI and WCU proved to be the best indicators of overweight/obesity, with BMI having a sensitivity value of 84% for all individuals, and WCU with a 70% sensitivity value. In addition to the published SAD cut-point, a lower cut-point was investigated. With a lower cut-point of ≤22cm, sensitivity
Development and Validation of an Environmentally Benign and Robust Stability Indicating Assay Method for Lenalidomide: Comprehensive Degradation Kinetics Study and Application of Synergistic Approach Involving Green Analytical Chemistry and Quality by Des

Objective: A state of the art, robust and environmentally benign stability indicating assay method (SIAM) has been developed for model drug Lenalidomide (LEN). Methods: A Green metrics assessment was conducted by environment assessment tool (EAT), analytical method volume intensity (AMVI) and Ecosolvent® tool. Successful chromatographic separation was accomplished on a Thermo C18 GAC column having dimensions of 4.6×150 mm and 3μ particle size using green solvents viz., methanol and acetate buffer in the ratio of 85:15. Results: The obtained EAT score and AMVI were 32.19 and 24 mL respectively. A green SIAM was developed and it was validated as per ICH Q2 (R1) guidelines. Quality by Design (QbD) approach was incorporated at validation stage to prove the robustness of the developed green method by applying 2^5-2 Res III 2level fractional factorial design (FFD). Conclusion: An extensive stress degradation study along with degradation kinetics were performed and probable degradation pathways were predicted.
Optimal Information Design of Online Marketplaces

Customer data increasingly enables online marketplace to identify buyers' preferences and provide individualized product information. I characterize the impact of such ex-ante information on buyer surplus and seller surplus. In my model, a marketplace provides an ex-ante signal about buyers' match value for a product. Buyers fully learn their product value only after contracting. The seller sets prices and refund conditions in response to the ex-ante information. I show that efficient trade and an arbitrary split of the surplus can be achieved. For the buyer optimal signal buyers remain partially uninformed, since such an information structure induces the seller to set low prices.
Results of Questionnaire Survey of Current Immune Monitoring Practice of Transplant Clinicians and Clinical Pathologists in Korea: Basis for Establishment of Harmonized Immune Monitoring Guidelines

Detection of significant alloimmune response, which affects graft function and survival by effective immune monitoring, is critical for treatment decision making. However, there is no consensus regarding immune monitoring (IM) for kidney transplantation (flow KT) in Korea. The IM protocol may be affected by the level of immunological risk, the methods of desensitization and the availabilities of resources such as laboratory support and cost of tests. Questionnaire surveys designed to identify the current practices regarding immune monitoring of KT among transplant clinicians and clinical pathologists in Korea and eventually provide a basis for the establishment of harmonized immune monitoring guidelines in KT were administered as part of a Korean Society for Transplantation Sponsored Research Project. The survey results revealed significant variations in IM protocols and interpretation of tests affecting treatment decisions between institutes. Moreover, the results revealed a need to expand the histocompatibility tests into high resolution HLA typing in multiple loci and non-HLA antibody tests that facilitate the epitope analysis and eventually virtual crossmatching. The results of the questionnaire survey from clinical pathologists are addressing the urgent need for the standardization of interpretation and harmonization of results reporting in single antigen bead based HLA antibody identification. Finally, communication between clinicians and clinical pathologists to meet the clinical expectations regarding various immune monitoring tests is needed.
Outcomes of Single-Operator Cholangioscopy-Guided Lithotripsy in Patients with Difficult Biliary and Pancreatic Stones

Background and Aims: Endoscopic retrograde cholangiopancreatography is the preferred strategy for the management of biliary and pancreatic duct stones. However, difficult stones occur, and electrohydraulic (EHL) and laser lithotripsy (LL) have emerged as treatment modalities for ductal clearance. Recently, single-operator cholangioscopy was introduced, permitting the routine use of these techniques. We aimed to evaluate the clinical effectiveness of cholangioscopy-guided lithotripsy using LL or EHL in patients with difficult biliary or pancreatic stones. Methods: This is a prospective clinical study – conducted at two affiliated university hospitals – of 17 consecutive patients with difficult biliary and pancreatic stones who underwent single-operator cholangioscopy-guided lithotripsy using two techniques: holmium laser lithotripsy (HL) or bipolar EHL. We analyzed complete ductal clearance as well as the impact of the location and number of stones on clinical success and evaluated the efficacy of the two techniques used for cholangioscopy-guided lithotripsy and procedural complications. Results: Twelve patients (70.6%) had stones in the common bile duct/common hepatic duct, 2 patients (17.6%) had a stone in the cystic stump, and 3 patients (17.6%) had stones in the pancreas. Sixteen patients (94.1%) were successfully managed in 1 session, and 1 patient (5.9%) achieved ductal clearance after 3 sessions including EHL, LL, and mechanical lithotripsy. Eleven patients were successfully submitted to HL in 1 session using a single laser fiber. Six patients were treated with EHL: 4 patients achieved ductal clearance in 1 session with a single fiber, 1 patient obtained successful fragmentation in 1 session using two fibers, and 1 patient did not achieve ductal clearance after using two fibers and was successfully treated with a single laser fiber in a subsequent session. Complications were mild and were encountered in 6/17 patients (35.2%), including fever (n = 3), pain (n = 1), and mild pancreatitis (n = 1). Conclusions: Cholangioscopy-guided lithotripsy using LL or EHL in patients with difficult biliary or pancreatic stones is highly effective with transient and minimal complications. There is a clear need to further compare EHL and HL in order to assess their role in the success of cholangioscopy-guided lithotripsy.
Blood pressure variability in neonates : with a special focus on signal acquisition and signal processing

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Towards a Network of Small Aperture Telescopes with Adaptive Optics Correction Capability

A low cost and compact Adaptive Optics (AO) system for a small aperture telescope (Meade LX200ACF 16”) has been developed at UNSW Canberra, where its performance is currently being evaluated. It is based on COTS components, with the exception of a real time control loop implemented in a Field Programmable Gate Array (FPGA), populated in a small form factor board which also includes the wavefront image sensor. A Graphical User Interface (GUI) running in an external computer connected to the FPGA imaging board provides the operator with control of different parameters of the AO system; results registration; and log of gradients, Zernike coefficients and deformable mirror voltages for later troubleshooting. The U.S. Air Force Academy Falcon Telescope Network (USAFA FTN) is an international network of moderate aperture telescopes (20 inches) that provides raw imagery to FTN partners [1]. The FTN supports general purpose use, including astronomy, satellite imaging and STEM (Science, Technology, Engineering and Mathematics) support. Currently 5 nodes are in operation, operated on-site or remotely, and more are to be commissioned over the next few years. One of the network nodes is located at UNSW Canberra (Australia), where the ground-based space surveillance team is currently using it for research in different areas of Space Situational Awareness (SSA). Some current and future SSA goals include geostationary satellite characterization through imaging modalities like polarimetry and real time image processing of Low Earth Orbit (LEO) objects. The fact that all FTN nodes have the same configuration facilitates the collaborative work between international teams of different nodes, so improvements and lessons learned at one site can be extended to the rest of nodes. With respect to this, preliminary studies of the imagery improvement that would be achieved with the AO system developed at UNSW, installed on a second 16 inch Meade LX200ACF telescope and compared to the existing UNSW Canberra FTN telescope are reported. The ongoing, side-by-side test results of the AO system compared to those obtained without correction are reported.
Review of the Basic Technology of Big Data on Analysis and Storage Applied in Power Grids

With the era of big data coming, the amount of data generated by humans has grown exponentially, and people have become aware of the importance of data. This paper introduces the concept of big data and big data technology firstly, and then describes the mature technology of big data analysis: Hadoop and Spark. And Taking HBase as an example, the basic theory of big data storage technology is analyzed. The paper is designed to understand the concept of big data and current developments, explain the basic technologies of big data storage and analysis to provide a reference for more accurate cognition.
Evaluation of Antidiabetic Activity of Aqueous Extract of Leaves from Phragmanthera capitata (Sprengel) S. Balle (Laurenthaceae) in Wistar Albino Rats

Diabetes mellitus is a public health problem affecting about 8.4% of people in the world and knows an alarming progression in sub-Saharan Africa and in Cameroon precisely. The current therapeutic strategies have prohibitive prices, are unavailable and have harmful side-effects. So, this work aimed at contributing to the valorization of medicinal flora and `knowledge of traditional healers in Foumban, West-Cameroon, in the treatment of diabetes. An ethnopharmacological survey was conducted by consulting traditional healers of the District of Foumban. At the end of this investigation, Phragmanthera capitata, which was found to be the most active plant following preliminary tests, was selected for antidiabetic studies on three groups of rats: normal glycaemia, temporary hyperglycemia and diabetic. The first two groups were treated per os, with aqueous extract of leaves from P. capitata, with the doses of D2 (4 mL/kg) obtained from the traditional healers, D1 (half of D2), D3 (double of D2) and by glibenclamide (2.5 mg/kg). The rats of the last group were treated twice per day, with the same doses of extract and glibenclamide for 13 days and were sacrificed on the 14th day. Their blood was collected by cardiac puncture for the determination of biochemical and hematological parameters. Phytochemical screening was performed using standard methods. The administration of aqueous extract of P. capitata led to a hypoglycaemia effect in normal rats, a reduction of glycaemia in the temporary hyperglycaemia and diabetic rats. In addition, an improvement of lipid assessment, renal and hepatic parameters related to the installation of diabetes, as well as an immune-modulator effect of the extract were noted in diabetic rats treated for 13 days. Phytochemical screening indicated that the extract contains saponins, tannins, flavonoids, steroids and terpens. This work along with findings justifies the traditional use of this plant in the treatment of diabetes mellitus.
Human Autologous Human Serum Support Better Proliferation, Viability and Homogeneity of Peripheral Blood Mononuclear Cells over Fetal Bovine Serum

Xenogeneic serum is being used to expand stem cells for regenerative therapy. Xenoantigens present in these serum may be linked to the unhomogenized cell population during in vitro culture and transplant rejection resulting short term regenerative benefits. To prove the potential of autologous human serum over fetal bovine serum (FBS) this study was conducted to determine the effect of xenogenic serum and autologous human serum on proliferation, viability and spontaneous differentiation of peripheral blood mononuclear cells till day 4 under in vitro culture condition. Data received from the study has shown that autologous serum supports better growth kinetics and viability till day 4 compared to FBS. Meanwhile, autologous serum reduces spontaneous differentiation.
Optimal Allocation of Inverter-Based WTGS Complying With Their DSTATCOM Functionality and PEV Requirements

Recently, the integration of inverter-based wind turbine generation systems (WTGS) and plug-in electric vehicles (PEV) has remarkably been expanded into distribution systems throughout the world. These distributed resources could have various technical benefits to the grid. However, they are also associated with potential operation problems due to their stochastic nature, such as high power losses and voltage deviations. An optimization-based approach is introduced in this paper to properly allocate multiple WTGS in distribution systems in the presence of PEVs. The proposed approach considers 1) uncertainty models of WTGS, PEV, and loads, 2) DSTATCOM functionality of WTGS, and 3) various system constraints. Besides, the realistic operational requirements of PEVs are addressed, including initial and preset conditions of their state of charge (SOC), arriving and departing times, and various controlled/uncontrolled charging schemes. The WTGS planning paradigm is established as a bi-level optimization problem which guarantees the optimal integration of multiple WTGS, besides optimized PEV charging in a simultaneous manner. For this purpose, a bi-level metaheuristic algorithm is developed for solving the planning model. Intensive simulations and comparisons with various approaches on the 69-bus distribution system interconnected with four PEV charging stations are deeply presented considering annual datasets. The results reveal the effectiveness of the proposed approach.
Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data

Abstract Objectives Informatics tools that support next-generation sequencing workflows are essential to deliver timely interpretation of somatic variants in cancer. Here, we describe significant updates to our laboratory developed bioinformatics pipelines and data management application termed Houston Methodist Variant Viewer (HMVV). Materials and Methods We collected feature requests and workflow improvement suggestions from the end-users of HMVV version 1. Over 1.5 years, we iteratively implemented these features in five sequential updates to HMVV version 3. Results We improved the performance and data throughput of the application while reducing the opportunity for manual data entry errors. We enabled end-user workflows for pipeline monitoring, variant interpretation and annotation, and integration with our laboratory information system. System maintenance was improved through enhanced defect reporting, heightened data security, and improved modularity in the code and system environments. Discussion and Conclusion Validation of each HMVV update was performed according to expert guidelines. We enabled an 8× reduction in the bioinformatics pipeline computation time for our longest running assay. Our molecular pathologists can interpret the assay results at least 2 days sooner than was previously possible. The application and pipeline code are publicly available at https://github.com/hmvv.
A Hybrid PCM Memory as a Main Memory for a Next Generation Smart Device

Abstract— PCM (Phase Change Memory) is promising a candidate for replacement of DRAM due to its non-volatile, byte-addressable access, and the stored data without refreshing. However PCM is unsuitable as a main memory because it has limitations: high read/write latency and low endurance. In this paper, we proposed an effective memory management technique for a hybrid PCM with DRAM buffer. We can reduce both access and write operations of PCM by using an effective page replacement. According to our simulation, the hybrid PCM can reduce the access count by around 66% and the access time that only in hybrid memory by 22% on the same PCM size, compared with Clock-DWF algorithm. Keywords—PCM(pahse change memory); DRAM; buffer system; paging management
PROBLEM SOLVING IN CROSS OVER LINE BALANCING USING HHO

The assembly line is a series of workflow manufacturing structures that are still common in large scale manufacturing of sustainable items. In the unbalanced tax system, more idle time is required to complete the task; A similar hanging problem arises when the tasks are not properly planned. This article proposes a technique to the line balance problem with crossover workstations. Different techniques were developed to resolve assembly line balance troubles. Existing methods for solving the assembly line balance problem cant be implemented to included type issues. Using the Harris Hawks optimization, improve the performance of a network-based line balancing problem. The assembly line optimization is performed using the Harris Hawks optimization cycle multipoint crossover method to acquire actual posterity and the high-quality chromosome is chosen to determine the performance of the sequential construction system.
Sentiment Analysis using Recurrent Neural Network

This study aims to measure the accuracy of the sentiment analysis classification model using deep learning and neural networks. This study used the algorithm Recurrent Neural Network (RNN) and Word2vec. No previous research has used this model to analyze sentiments written using Indonesian language so that the level of accuracy is unknown. The research began by making a classification model of sentiment analysis. Then, the model was tested through experiments. In this study, They used two classifications (positive and negative). Experiments are carried out using training data sets and the test used data sets sourced from Traveloka theybsite. The result shows that the model presents outstanding results and reaches about 91.9%.