1,053 research outputs found

    Applying eXplainable AI Techniques to Interpret Machine Learning Predictive Models for the Analysis of Problematic Internet Use among Adolescents

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    This research focusses on the potential application of artificial intelligence (AI) techniques in the analysis of behavioural addictions, specifically addressing problematic Internet use among adolescents. Using tabular data from a representative sample from Serbian high schools, the authors investigated the feasibility of employing eXplainable AI (XAI) techniques, placing special emphasis on feature selection and feature importance methods. The results indicate a successful application to tabular data, with global interpretations that effectively describe predictive models. These findings align with previous research, which confirms both relevance and accuracy. Interpretations of individual predictions reveal the impact of features, especially in cases of misclassified instances, underscoring the significance of XAI techniques in error analysis and resolution. Although AI’s influence on the medical domain is substantial, the current state of XAI techniques, although useful, is not yet advanced enough for the reliable interpretation of predictions. Nevertheless, XAI techniques play a crucial role in problem identification and the validation of AI models

    Relationship Between Regional Distributions of Cytochrome C Oxidase and Copper-Delivering Chaperones in Sclerotic Hippocampi of Epilepsy Patients

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    Aims: A drop in copper level and the loss of energy homeostasis are both portrayed in mesial temporal lobe epilepsy (mTLE) with hippocampal sclerosis (HS) patients. Cytochrome c oxidase (COX) represents a crossroad of energy and copper metabolism; it is a key component of mitochondrial machinery and contains two copper centers. Our aim here was to examine the link between COX activity and the copper transporting system in HS. COX activity and the levels of mRNA of selected chaperones - COX11, COX17, Sco1 and Sco2 were determined in 13 anatomically distinct hippocampal regions. Methods: Study was performed on seven hippocampal samples, four of which had been acquired during the course of amygdalohippocampectomy treatment of medically intractable epilepsy and three control postmortem samples. Adjacent slices were used for Nissl staining, COX activity assay and mRNA in situ hybridization with autoradiography. Densitometry was performed using ImageJ. Results: Overall COX activity was decreased in HS compared to controls (P = 0.0003). However, 5 regions showed significantly lower COX activity in HS and 8 did not. Subiculum showed slightly higher activity in HS. The levels of mRNA levels were lowered in HS in 6 regions for COX11, 10 regions for COX17, two regions for Sco1 and 11 regions for Sco2. Conclusions: Our findings suggest the loss of energy homeostasis in HS may be related to pathological changes in specific components of copper delivery to COX, and that the impact may vary between different hippocampal regions

    Imaging and regional distribution of copper, zinc, manganese and iron in sclerotic hippocampi of patients with mesial temporal lobe epilepsy

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    Mesial temporal lobe epilepsy (mTLE) represents the most common subtype of human focal epilepsies and perhaps the best-characterized disorder of this type 1 . Hippocampal sclerosis (HS) is the most common histopathologic abnormality found in adults with drugresistant mTLE 2 . The histopathologic hallmark of HS is segmental pyramidal cell loss, which can affect any field of the cornu Ammonis (CA1-4). Hippocampal neuronal cell loss is always associated with a severe pattern of astrogliosis 3 . Therewithal, disturbed homeostasis of metals is implicated in the pathology of mTLE-HS. Zinc has been considered to play a major role in epileptogenesis in relation to its involvement in the modulation of excitability and synaptic plasticity 4,5. Further, it has been shown that epileptogenic hippocampi are exposed to oxidative stress and that the development of prooxidative conditions in the CNS usually involves the loss of homeostasis of iron 6,7. Low brain levels of copper and manganese have been reported in patients with Menkes disease and in animal models of epilepsy, and linked to seizure development 8,9. Ristić et al. were the first to conduct a case-control study of total concentration of metals in tissue of human HS, and report lower concentrations of copper and manganese 10

    Odabir endogene kontrole za imunoblot analizu proteina u sklerotičnim hipokampusima pacijenata sa epilepsijom temporalnog režnja

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    Skleroza hipokampusa je najčešći neuropatološki nalaz kod epilepsije temporalnog režnja. Pored morfoloških promena odlikuju ga i promene nivoa različitih proteina u ćeliji. Imunoblot je nezamenjiva metoda za određivanje nivoa proteina i podrazumeva normalizaciju u odnosu na endogenu kontrolu (kontrolu jednakog nanošenja uzorka). Za tu svrhu se koriste proteini za koje se smatra da imaju stabilnu ekspresiju koja najmanje varira u ispitivanim uslovima, tretmanima i patofiziološkim stanjima. Ipak u nekim patofiziološkim stanjima se i ekspresija tradicionalno korišćenih endogenih kontrola menja, 1 što može dovesti do prikupljanja netačnih podataka i pogrešnog tumačenja rezultata. Cilj ovog rada je bio da se ispita stabilnost najčešće korišćenih endogenih kontrola i izabere najstabilnija koja će se koristiti za normalizaciju pri poređenju nivoa ciljnih proteina hipokampusa obolelih od epilepsije i neurološki intaktnih kontrola. Imunoblotom su detektovani β-aktin, α-tubulin, TATA-vezujući protein i gliceraldehid3-fosfat dehidrogenaza u tkivnim ekstraktima hipokampusa 9 pacijenata i 7 kontrola, i NormFinder softverom2 određene unutargrupna i međugrupna varijabilnost. Pokazano je da nivo strukturnih proteina β-aktina i α-tubulina najmanje varira u ispitivanim uslovima te se mogu koristiti za poređenje nivoa proteina u sklerotičnim i intaktnim hipokampusima. Rezultati upućuju da je odabir endogenih kontrola važan preduslov za dobijanje tačnih i pouzdanih podataka imunoblot metodom

    Metallome of sclerotic hippocampi in patients with drug-resistant mesial temporal lobe epilepsy

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    Altered hippocampal metallome is strongly implicated in the pathology of mesial temporal lobe epilepsy with hippocampal sclerosis (mTLE-HS). We aimed to determine sodium, potassium, calcium, magnesium, iron, copper, manganese, and zinc concentration in epileptic human hippocampi

    The importance of copper in pathology of mesial temporal lobe epilepsy

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    More and more studies are identifying the regulation of metal homeostasis as one of the key points of central nervous system’s well-being. Epilepsy is a particularly interesting neurological condition when viewed in terms of the correlation between the amount of metals and the development of a seizure. This lecture will present contribution of our group to the field of metal biology in epilepsy by mapping brain metals in sclerotic hippocampus resected from drug resistant mesial temporal lobe epilepsy (mTLE) patients as surgical therapeutic approach. Direct insight into this epileptogenic area, by two powerful techniques, optical emission and mass spectrometry, has led us to investigation of copper turnover. Namely, among the examined metals, we found the deficiency of copper in sclerotic hippocampus on two levels: (i) in whole structure (ii) and locally in the areas of neuronal loss, with significant correlation between copper concentration and neuron density. Furthermore, analysis of copper metalloproteins showed: (i) significant increase or decrease in levels of protein that is participating in copper transport into the cell (CTR1) depending on the degree of hippocampal neuronal loss; (ii) and lower activity of an enzyme in which copper is part of the active site, cytochrome c oxidase, in sclerotic hippocampi of patients compared to control tissue. In our further investigations it remained to be determined whether changes in copper concentrations and copper metalloproteins are causal to pathology of mTLE or they represent epiphenomenon

    Combined searches for the production of supersymmetric top quark partners in proton-proton collisions at root s=13 TeV

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    A combination of searches for top squark pair production using proton-proton collision data at a center-of-mass energy of 13 TeV at the CERN LHC, corresponding to an integrated luminosity of 137 fb(-1) collected by the CMS experiment, is presented. Signatures with at least 2 jets and large missing transverse momentum are categorized into events with 0, 1, or 2 leptons. New results for regions of parameter space where the kinematical properties of top squark pair production and top quark pair production are very similar are presented. Depending on themodel, the combined result excludes a top squarkmass up to 1325 GeV for amassless neutralino, and a neutralinomass up to 700 GeV for a top squarkmass of 1150 GeV. Top squarks with masses from 145 to 295 GeV, for neutralino masses from 0 to 100 GeV, with a mass difference between the top squark and the neutralino in a window of 30 GeV around the mass of the top quark, are excluded for the first time with CMS data. The results of theses searches are also interpreted in an alternative signal model of dark matter production via a spin-0 mediator in association with a top quark pair. Upper limits are set on the cross section for mediator particle masses of up to 420 GeV

    Search for new particles in events with energetic jets and large missing transverse momentum in proton-proton collisions at root s=13 TeV

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    A search is presented for new particles produced at the LHC in proton-proton collisions at root s = 13 TeV, using events with energetic jets and large missing transverse momentum. The analysis is based on a data sample corresponding to an integrated luminosity of 101 fb(-1), collected in 2017-2018 with the CMS detector. Machine learning techniques are used to define separate categories for events with narrow jets from initial-state radiation and events with large-radius jets consistent with a hadronic decay of a W or Z boson. A statistical combination is made with an earlier search based on a data sample of 36 fb(-1), collected in 2016. No significant excess of events is observed with respect to the standard model background expectation determined from control samples in data. The results are interpreted in terms of limits on the branching fraction of an invisible decay of the Higgs boson, as well as constraints on simplified models of dark matter, on first-generation scalar leptoquarks decaying to quarks and neutrinos, and on models with large extra dimensions. Several of the new limits, specifically for spin-1 dark matter mediators, pseudoscalar mediators, colored mediators, and leptoquarks, are the most restrictive to date.Peer reviewe

    Development and validation of HERWIG 7 tunes from CMS underlying-event measurements

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    This paper presents new sets of parameters (“tunes”) for the underlying-event model of the HERWIG7 event generator. These parameters control the description of multiple-parton interactions (MPI) and colour reconnection in HERWIG7, and are obtained from a fit to minimum-bias data collected by the CMS experiment at s=0.9, 7, and 13Te. The tunes are based on the NNPDF 3.1 next-to-next-to-leading-order parton distribution function (PDF) set for the parton shower, and either a leading-order or next-to-next-to-leading-order PDF set for the simulation of MPI and the beam remnants. Predictions utilizing the tunes are produced for event shape observables in electron-positron collisions, and for minimum-bias, inclusive jet, top quark pair, and Z and W boson events in proton-proton collisions, and are compared with data. Each of the new tunes describes the data at a reasonable level, and the tunes using a leading-order PDF for the simulation of MPI provide the best description of the dat

    Probing effective field theory operators in the associated production of top quarks with a Z boson in multilepton final states at root s=13 TeV

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