Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Analysis of Machine Learning Algorithms in Intrusion Detection Systems

With the developing technology, the need for the dissemination and protection of information is becoming increasingly important. Recently, attacks on information systems have increased significantly. In addition to the rise in the number of attacks, attacks of different types pose a great threat to systems. As a result of these attacks, institutions and users suffer serious damages. At this point, Intrusion Detection Systems (IDS) have a very important position. The pre-detection of these attacks on the systems and the preparation of the necessary reports can reduce the impact of the threats that may be encountered in the future. Recent studies are carried out so as to increase the performance of IDS. In this paper, classification was made using NSL-KDD dataset and SVM, KNN, Bayesnet, NavieBayes, J48 and Random Forest algorithms, and it was aimed to compare performance of these classifications by using WEKA. Consequently, it has been reached that the KNN algorithm had the best performance with an accuracy rate of 98.1237 %. In addition, the effect of increasing the number of folds and neighborhoods on the classification result has been examined comparatively.
Cross-Matching the San Cristóbal Galápagos Tortoise (Chelonoidis chathamensis)

Abstract Cross-matching of the giant tortoise of San Cristóbal (Chelonoidis chathamensis) was employed to determine if erythrocyte agglutination occurs in individuals with no transfusion history after exposure to plasma from a conspecific individual. The main islands in the Galápagos archipelago are inhabited by unique species of tortoises. On the largest island, Isabela, there are multiple species isolated by volcanic formations creating unique separate ecosystems. With plans to begin the reintroduction of C. chathamensis into the wild, as well as the recent rediscovery of the Fernandina giant tortoise (Chelonoidis phantasticus), appropriate veterinary care is paramount, and having every medical contingency, especially vehicular/tortoise interaction, under consideration is important. Cross-matching the San Cristóbal giant tortoise was a first step in exploring the compatibility of blood transfusions between conspecifics. Blood was drawn from the jugular vein of 20 juvenile tortoises with the use of a heparinized syringe and each sample was coded. The blood was centrifuged, the erythrocytes washed (five times), and then the erythrocyte pellet and plasma were used for the major cross-match procedure. The erythrocytes represented the “donor” tortoise and the plasma represented the “recipient” tortoise. Each tortoise was cross-matched against itself as an auto control and then 1–5 times against another randomly assigned individual at two incubation temperatures, 23°C (73.4°F) and 34°C (93.2°F). No agglutination was found in any of the trials. As predicted, fibrin and thrombocyte clumps occurred in all trials. Additional research that includes different species of tortoises is the next important step to enhance our knowledge of antigen compatibilities.
Topology Learning and Place Recognition using Bayesian Programming for Mobile Robot Navigation

This paper proposes an approach allowing topology learning and recognition in indoor environments by using a probabilistic approach called Bayesian Programming. The main goal of this approach is to cope with the uncertainty, imprecision and incompleteness of handled information. The Bayesian Program for topology recognition and door detection is presented. The method has been successfully tested in indoor environments with the BIBA robot, a fully autonomous robot. The experiments address both the topology learning and topology recognition capabilities of the approach.
Naturalistic analysis of control room activities

It would seem relevant and appropriate to observe the activities of personnel in control rooms prior to designing new technologies to be placed in them, altering the configuration of equipment and layout, or changing the assignment of staff responsibilities and tasks. Numerous approaches have been outlined for organising and shaping these observations, most noticeably task analysis. These can support the analyst to delineate the tasks and functions of individuals, to examine the role of new technologies in the accomplishment of activities and to identify what information is available, where, and how this information should be communicated. Typically, these approaches focus on the formal tasks and activities, or at least, what can be made explicit. In this chapter the tacit and social practices on which control room work relies will be considered. Observations of work and interaction in one particular setting, station control rooms in London Underground, will be reported. This contributes to the growing number of naturalistic studies of control rooms and similar settings. The details of the practices revealed by the analysis could contribute to the development of technologies for the control room and more generic kinds of systems. In particular, we seek to re-examine how individuals 'monitor' the surrounding domain and the activities of their colleagues. We look at how the personnel utilise the available technologies that are a combination of audio, visual and computational systems and how, in concert with colleagues, they monitor the happenings in the world beyond the control room. Finally, the ways in which such an analysis can provide insights into how prototypes technologies could best be deployed in organisational settings will be examined. The chapter will conclude by briefly outlining some recent technological developments that aim to support the work of control room personnel.
Class model extraction from procedural code: Confronting a few ideas from the 2000's against the reality of an industrial system

In this extended abstract, we report an ongoing experience conducted during a Master project on the migration of two industrial software systems. The project was proposed by a major IT service company (not cited here for confidentiality reasons) which would like to investigate a migration processing chain, in order to renovate legacy software composed of man-machine interfaces, databases and procedural source code. The aim of the renovation is to migrate to the object-oriented paradigm and generate new source code. Due to the limited time that the Master students had in their curriculum for this project, we restricted the study to the extraction of a class model. A processing chain was proposed and a few heuristics, taken in the literature, have been tested, with no really conclusive results. We report here the current status of the project in order to get feedback and new ideas to build for the future. Software renovation still remains a costly and time-consuming process for IT service companies, that can be viewed as a waste of resource, compared to the development of new software. Nevertheless, if timely and effective measures are not taken to regularly update the design, the source code, the documentation and all related artifacts, it may arrive the day where the software can no longer be understood by human, or compiled by the new compilers, or even ran on the new servers. The challenge is to maintain and migrate with a low cost the legacy software, before real problems arise. In this extended abstract, we report an The authors would like to thank the IT service companies that brought the renovation project and followed the work in progress and the master students (Luc Debene, Chaymae Regragui and Cedric Cambon) that made a tutorial for the use of Famix in the context of this project.
Impact of selected social welfare programs on poverty alleviation and health outcomes in Pakistan

The purpose of this paper is to review and analyse poverty alleviation and health outcomes through the effectiveness of two major programs launched by the government to uplift social welfare in Pakistan (Benazir Income Support Program (BISP) and the Sehat Sahulat Program (SSP). We also aim to explore the link between poverty and health in light of the BISP and SSP. Secondary data is utilized to carry out this study, where qualitative data is gathered from the beneficiaries’ interviews while quantitative data is based upon the poverty line. Through this study, we can conclude an overall positive impact of the BISP and SSP on two components of the Human Development Indicator (HDI) concerning poverty and health: standards of living and life expectancy. Although positive conclusions have been brought about by BISP such as a reduction in wasting (girls) and increased food consumption, it fails to substantially cover health and may even be ineffective if individuals face external shocks such as dangerous illnesses. Such findings strengthen the importance of the SSP as a social welfare program alongside the BISP to secure far more wholesome and successful outcomes. By exploring the interchangeable link between poverty and health and connecting it to these programs, we further assert the complimentary nature of the BISP and SSP and base our evaluation on it.
The Magnetic and Color Reflectance Properties of Hematite: From Earth to Mars

Hematite is a canted antiferromagnet with reddish color that occurs widely on Earth and Mars. Identification and quantification of hematite is conveniently achieved through its magnetic and color properties. Hematite characteristics and content are indispensable ingredients in studies of the iron cycle, paleoenvironmental evolution, paleogeographic reconstructions, and comparative planetology (e.g., Mars). However, the existing magnetic and color reflectance property framework for hematite is based largely on stoichiometric hematite and tends to neglect the effects of cation substitution, which occurs widely in natural hematite and influences the physical properties of hematite. Thus, magnetic parameters for stoichiometric hematite are insufficient for complete analysis of many natural hematite occurrences and can lead to ambiguous geological interpretations. Remagnetization, which occurs pervasively in red beds, is another ticklish problem involving hematite. Understanding red bed remagnetization requires investigation of hematite's formation and remanence recording mechanisms. We elaborate on the influence of cation substitution on the magnetic and color spectral properties of hematite, and on identifying hematite and quantifying its content in soils and sediments. Studies of remagnetization mechanisms are discussed, and we summarize methods to discriminate between primary and secondary remanences carried by hematite in natural samples to aid primary remanence extraction in partially remagnetized red beds. Although there remain unknown properties and unresolved issues that require future work, recognition of the properties of cation‐substituted hematite and remagnetization mechanisms for hematite will aid identification and interpretation of the magnetic signals that it carries, which is environmentally important and responsible for magnetic signals on Earth and Mars.
Electrophysiological patterns in patient with Guillain-Barre syndrome

Background: Guillain-Barre syndrome (GBS) is an acute, frequently severe and fulminant polyradiculoneuropathy that is autoimmune in nature. Incidence and predominant subtypes of GBS differ geographically. Electrophysiology has important role in subtyping GBS. This study aimed to evaluate the electrophysiological findings in patient of GBS. Methods: This was a hospital based cross-sectional descriptive study and conducted at the Department of Neurology in Sir Salimullah Medical College & Mitford Hospital, Dhaka and National Institute of Neurosciences and Hospital, Dhaka during July 2017 to June 2018. Clinically diagnosed 53 patients with GBS were enrolled according to prefixed selection criteria. Detail history taking, clinical examination, nerve conduction study and cerebrospinal fluid (CSF) examination was performed in all cases. Clinical findings, nerve conduction study (NCS) parameters, CSF findings and demographic profiles were evaluated. Results: Mean ± SD age of presentation was 41.64 (±14.56) years and median age was 42.0 years. There were total 33(62 %) males and 20 (38 %) females with male: female ratio of 1.7:1. Clinically two-thirds(62.3%) of patients had both upper and lower limb involvement (62.3%), facial weakness was in 32.1% and 13.2% had bulbar involvement. Acute inflammatory demyelinating polyneuropathy (AIDP), acute motor axonal neuropathy (AMAN) and acute motor sensory axonal neuropathy (AMSAN)were found to be 51%, 32% and 17% respectively. CSFprotein was elevated in most of the patients with a range of 16-725 mg/dl. Highest CSF protein was found in AIDP. Conclusion: Electrophysiological studies play an important role in the early detection; characterization of GBS.In this study, the commonest type of GBS was AIDP. Higher levels of CSF protein, absent H-reflex and Fresponse, sural sparing and unexcitable nerves are more frequently present in AIDP. BIRDEM Med J 2022; 12(1): 16-21
Performance Enhancement of BOTDA Based on the Image Super-Resolution Reconstruction

The acquisition time of Brillouin optical time domain analysis (BOTDA) sensor is relatively long since it requires multiple scans of probe tones to map the Brillouin gain spectra (BGS). To enhance the performance of BOTDA with fewer probe tones and lower time-domain sampling rate, we propose a method based on generative adversarial network (GAN) to reconstruct the super-resolution BGS from its low-resolution counterpart for <inline-formula> <tex-math notation="LaTeX">$4\times $ </tex-math></inline-formula> upscaling factors. We preliminarily prepare a dataset composed of ideal BGSs with different linewidths, spatial resolutions, and Brillouin frequency shifts (BFS) for network training and create a 2048-level colormap for the conversion between BGS and its RGB image. By cropping the measured BGS into consecutive frames and making cross-correlation to transform each frame to a new one with nearly ideal Lorentzian shape as input for the independent reconstruction, the <inline-formula> <tex-math notation="LaTeX">$4\times $ </tex-math></inline-formula> enlarged super-resolved BGS conforming to the real BGS distribution could be established. The validity of our method was shown through a conventional BOTDA experiment. The results show that 75% measurements were reduced and the resolution in spatial and frequency domain were raised by 4 times, and the measurement accuracy also got greatly improved.
Developing a Tool to Assess Perception of Solid Waste Corporation's Staff on Good Governance Practices

There have been various tools and instruments developed previously to assess perception. However, there is limited tool to assess staff perception on solid waste governance. The aim of this study was to measure reliability and validity of a newly developed tool for assessing solid waste corporation staff perception on good governance practices. A total of twenty (N=20) staff from Batu Pahat Solid Waste Corporation were selected by convenience sampling. The initial 200 items were developed based on literature reviewed. After content validity test executed, there are only 38 items were remained for field test. Result of analysis show the instrument has good reliability value (total cronbach’s alpha 0.82). Besides that, skewness and kurtosis test show positive result which is normal distribution. This pilot study indicates that, it is possible to construct a valid and reliable instrument to assess staff perception on good governance practices.
Research on assessment of bolted joint state using elastic wave propagation

The work contains results of experimental investigation of elastic wave propagation in a bolted single-lap joint. Tests were carried out for the excitation perpendicular to the connection plane. In experimental studies, PZT transducers were used for both excitation and registration of ultrasonic waves. The analyses took into account varying contact conditions between the elements of the connection depending on the value of the prestressing force. The influence of loosening/tightening of bolts on the energy dissipation was analysed. The experimental results proved the influence of bolt torque on quantitative characteristics of the signals. To improve the diagnostic possibilities only the initial parts of signals were analysed.
Rapid Development and Validation of a Liquid Chromatography-Tandem Mass Spectrometry Method to Measure Cannabinoids in Bronchoalveolar-Lavage Fluid of Patients with e-Cigarette, or Vaping, Product Use-Associated Lung Injury

In 2019, the Centers for Disease Control and Prevention responded to an outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI). Bronchoalveolar-lavage (BAL) fluid from EVALI patients was available for analysis to investigate a range of potential toxicants that might be present at the presumed site of lung injury. Our laboratory developed and validated a novel method to measure cannabinoids and their metabolites in BAL fluid to aid in the investigation of the toxicants that might be the cause of EVALI. In this paper, we describe a sensitive liquid chromatography-tandem mass spectrometry method to measure the following six cannabinoids: Δ9-tetrahydrocannabinol (THC), THC metabolites 11-nor-9-carboxy-THC and 11-hydroxy-THC, cannabinol, cannabidiol (CBD), and CBD metabolite 7-nor-7-carboxycannabidiol. Cannabinoids were extracted from BAL fluid using solid-phase extraction. Accuracy, precision, stability, and limits of detection were determined from replicate analyses of spiked BAL pools. The lower limits of detection ranged from 0.019 to 0.153 ng/mL for a sample volume of 150 μL. Overall accuracy ranged from 71.0 to 100.8%. Within-run imprecision (measured by the coefficient of variation) was below 8%, and between-run imprecision was below 21% for all analytes and concentrations tested. The method was applied to samples from 59 EVALI case patients. We identified THC, CBD, or their metabolites in 76% of EVALI patient samples. These findings support previous evidence that THC-containing products played a major role in the EVALI outbreak and help to inform public health recommendations.
Development of a Process Analysis System Oriented to Discrete Manufacturing Industry

The existing problems on the manufacturing process planning and management of China are introduced, a variety of manufacturing process analysis and optimization processes are integrated, product, process and technology resources are systematized, then the information model is established. The architecture of a process analysis is proposed, on the basis, a platform of process planning, management, analysis and improvement is constructed, through integration with the CAPP system, the function of process planning, analyzing and optimizing has been implemented. By application in an auto heavy plant, the desired effect of data sharing, staff collaboration, process optimization is achieved.
Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays

Human pluripotent stem cell (hPSC)-derived neuron cultures have emerged as models of electrical activity in the human brain. Microelectrode arrays (MEAs) measure changes in the extracellular electric potential of cell cultures or tissues and enable the recording of neuronal network activity. MEAs have been applied to both human subjects and hPSC-derived brain models. Here, we review the literature on the functional characterization of hPSC-derived two- and three-dimensional brain models with MEAs and examine their network function in physiological and pathological contexts. We also summarize MEA results from the human brain and compare them to the literature on MEA recordings of hPSC-derived brain models. MEA recordings have shown network activity in two-dimensional hPSC-derived brain models that is comparable to the human brain and revealed pathology-associated changes in disease models. Three-dimensional hPSC-derived models such as brain organoids possess a more relevant microenvironment, tissue architecture and potential for modeling the network activity with more complexity than two-dimensional models. hPSC-derived brain models recapitulate many aspects of network function in the human brain and provide valid disease models, but certain advancements in differentiation methods, bioengineering and available MEA technology are needed for these approaches to reach their full potential.
Graphene Field Effect Transistor’s Circuit Modeling and Radio Frequency Application Study

In this paper, a large signal circuit model of graphene field effect transistor (GFET) is described accurately by Verilog-A language, which is suitable for radio frequency circuit design and can be applied in HSPICE and ADS directly. Then two typical radio frequency (RF) circuits, frequency multiplier and mixer, are based on this GFET circuit model. The proposed circuits’ performance are analyzed respectively in 10GHz, 15GHz and 20GHz, and GFET’s application foreground in radio frequency area is discussed.
Surface infiltration and unsaturated zone characterization in support of managed aquifer recharge in Bedell Flat, Washoe County, Nevada

Aquifer storage and recovery (ASR) expands the portfolio of public water supply and improves resiliency to drought and future water demand. This study investigated the feasibility of ASR in the Bedell Flat Hydrographic Area using land-based methods including in-channel managed aquifer recharge (MAR) and rapid infiltration basins (RIB). Bedell Flat, one of two flow-through groundwater basins near Reno, Nevada, was a likely candidate for ASR because of its deep basin fill, proximity to supplemental water sources and infrastructure, and lack of development. In-channel MAR feasibility was determined from seepage losses along the Bird Springs ephemeral channel measured using Parshall flumes and heat-as-a-tracer inverse modeling. The feasibility of RIB was evaluated by characterizing vadose zone boreholes installed with roto-sonic drilling to water table. Field characterization of sediment and lithologic descriptions was accomplished at 1-foot (ft) increments. Bulk sediment samples were collected every 5 ft and cores from a split spoon were sampled at 10, 20, 30, 40, 60 and 100 ft below land surface (bls). Collected samples were analyzed for texture, moisture content, and geochemistry. Infiltration rates in Bird Springs channel increased downgradient with the hydraulic conductivity of the upper reaches ranging from 0.002 to 0.14 meter per hour (m/h) and the lower reaches from 0.5 to 1.5 m/h. Differences in discharge measurements indicate that seepage losses also increase down channel. When normalized to 1 ft of channel stage, modeled seepage loss rates ranged from 0.02 to 5.34 cubic feet per second (ft 3 /s) per mile (mi). Perched zones of soil moisture residing on top of dry fine-textured, clay-rich layers were prevalent in the Bird Springs drainage, indicating complicated flow paths for any supplement recharge water. Characterization of boreholes