Search

Speech processing is today's trending topic in the digital industry for making authentication to keep aware of unauthorized ones. However, analyzing the signal feature using conventional filtering or the neural models is insufficient due to the present signal's several noisy features. Hence, incorporating the different noise elimination filters has maximized the algorithm complexity in verifying the user speech signal. So, the present study built a novel Chimp-based recursive Speech Identification (CbRSI) system for the speech processing domain to verify the authenticated users through the speech signal data. To make signal processing the most straightforward task was activated the filtering function to recognize and neglect the noisy features. Consequently, the filtered audio data is imported as the classification phase input then the features-selecting process is performed. Finally, authenticated users were found and validated the performance by matching the analyzed signal features with the saved audio features. Hence, a novel CbRSI earned the finest user verification exactness score of 98.2%, which is the most satisfactory outcome compared to past studies. Therefore, the implemented solution is the most required framework for verifying authenticated users.

Speech processing is today's trending topic in the digital industry for making authentication to keep aware of unauthorized ones. However, analyzing the signal feature using conventional filtering or the neural models is insufficient due to the present signal's several noisy features. Hence, incorporating the different noise elimination filters has maximized the algorithm complexity in verifying the user speech signal. So, the present study built a novel Chimp-based recursive Speech Identification (CbRSI) system for the speech processing domain to verify the authenticated users through the speech signal data. To make signal processing the most straightforward task was activated the filtering function to recognize and neglect the noisy features. Consequently, the filtered audio data is imported as the classification phase input then the features-selecting process is performed. Finally, authenticated users were found and validated the performance by matching the analyzed signal features with the saved audio features. Hence, a novel CbRSI earned the finest user verification exactness score of 98.2%, which is the most satisfactory outcome compared to past studies. Therefore, the implemented solution is the most required framework for verifying authenticated users. [ABSTRACT FROM AUTHOR]

Neeraj Prabhakar,1,2 Jixi Zhang,3 Diti Desai,1 Eudald Casals,1 Tina Gulin-Sarfraz,1 Tuomas Näreoja,2,4 Jukka Westermarck,5,6 Jessica M Rosenholm1 1Pharmaceutical Sciences Laboratory, Faculty of Science and Engineering, Åbo Akademi University, 2Laboratory of Biophysics, Faculty of Medicine, University of Turku, Turku, Finland; 3College of Bioengineering, Chongqing University, Chongqing, People’s Republic of China; 4Department of Neuroscience, Karolinska Institute, Stockholm, Sweden; 5Centre for Biotechnology, University of Turku and Åbo Akademi, 6Department of Pathology, University of Turku, Turku, Finland Abstract: Small interfering RNA (siRNA) is a highly potent drug in gene-based therapy with the challenge being to deliver it in a sustained manner. The combination of mesoporous silica nanoparticles (MSNs) and polycations in the confined pore space allows for incorporation and controlled release of therapeutic siRNA payloads. We hereby constructed MSNs with expanded mesopores and pore-surface-hyperbranched poly(ethyleneimine) (PEI) tethered with redox-cleavable linkers that could carry a high payload of siRNA (120 mg·g-1). The developed nanocarriers were efficiently taken up by cancer cells and were subsequently able to escape to the cytoplasm from the endosomes, most likely owing to the integrated PEI. Triggered by the intracellular redox conditions, the siRNA was sustainably released inside the cells over a period of several days. Functionality of siRNAs was demonstrated by using cell-killing siRNA as cargo. Despite not being the aim of the developed system, in vitro experiments using cell-killing siRNAs showed that the efficacy of siRNA transfection was comparable to the commercial in vitro transfection agent Lipofectamine. Consequently, the developed MSN-based delivery system offers a potential approach to hybrid nanocarriers for more efficient and long-term siRNA delivery and, in a longer perspective, in vivo gene silencing for RNA interference (RNAi) therapy. Keywords: mesoporous silica nanoparticles, RNAi therapy, siRNA delivery, stimuli-responsive drug release, hybrid nanocarriers

Diti Desai,1–4 Neeraj Prabhakar,2 Veronika Mamaeva,3,5 Didem Şen Karaman,2,4 Iris AK Lähdeniemi,1,6 Cecilia Sahlgren,3,7,* Jessica M Rosenholm,2,4,* Diana M Toivola1,6,* 1Cell Biology, Faculty of Science and Engineering, Åbo Akademi University, Turku, Finland; 2Pharmaceutical Sciences Laboratory, Faculty of Science and Engineering, Åbo Akademi University, Turku, Finland; 3Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland; 4Laboratory of Physical Chemistry, Faculty of Science and Engineering, Åbo Akademi University, Turku, Finland; 5Department of Clinical Science, University of Bergen, Bergen, Norway; 6Turku Center for Disease Modeling, Institute of Biomedicine, University of Turku, Turku, Finland; 7Department of Biomedical Engineering, Technical University of Eindhoven, Eindhoven, the Netherlands *These authors contributed equally to this work Abstract: Targeted delivery of drugs is required to efficiently treat intestinal diseases such as colon cancer and inflammation. Nanoparticles could overcome challenges in oral administration caused by drug degradation at low pH and poor permeability through mucus layers, and offer targeted delivery to diseased cells in order to avoid adverse effects. Here, we demonstrate that functionalization of mesoporous silica nanoparticles (MSNs) by polymeric surface grafts facilitates transport through the mucosal barrier and enhances cellular internalization. MSNs functionalized with poly(ethylene glycol) (PEG), poly(ethylene imine) (PEI), and the targeting ligand folic acid in different combinations are internalized by epithelial cells in vitro and in vivo after oral gavage. Functionalized MSNs loaded with γ-secretase inhibitors of the Notch pathway, a key regulator of intestinal progenitor cells, colon cancer, and inflammation, demonstrated enhanced intestinal goblet cell differentiation as compared to free drug. Drug-loaded MSNs thus remained intact in vivo, further confirmed by exposure to simulated gastric and intestinal fluids in vitro. Drug targeting and efficacy in different parts of the intestine could be tuned by MSN surface modifications, with PEI coating exhibiting higher affinity for the small intestine and PEI–PEG coating for the colon. The data highlight the potential of nanomedicines for targeted delivery to distinct regions of the tissue for strict therapeutic control. Keywords: intestinal targeting, PEG-PEI copolymer, Notch inhibition

Summary: Industrial 4.0 makes manufacturers more vulnerable to current challenges and makes it easier to adapt to market changes. It is essential to focus on monitoring and controlling the production system before complex accidents occur. To overcome above research gaps, we shift to industrial 4.0, which combine IoT and mechanism learning for industrial monitor and manage. Here, we propose a hybrid machine learning technique for IoT enabled industrial monitoring and control system (IoT‐HML). The main goal of the research is to overcome the issues of information security and control systems by developing a hybrid machine learning technique. Compared to the existing AODV protocol, the proposed C‐IWO based routing protocol outperformed efficiently in terms of 19.2% average delay, 12.7% average energy consumption, 10.26% average throughput, 3.8% average delivery ratio, and 16.33% average loss ratio, respectively. In addition, the accuracy 98.5%, sensitivity 97.3%, specificity 98.2%, precision 98.35%, recall 98.32%, and F‐measure 97.49% of proposed CP‐LNN technique is very high compare to obtainable state‐of‐art classifiers. [ABSTRACT FROM AUTHOR]

Textural and mineral-chemical characteristics in the Bangriposi wehrlites (Eastern India) provide insight into metamorphic processes that morphologically and chemically modified magmatic spinel during serpentinization of wehrlite. Aluminous chromite included in unaltered magmatic olivine is chemically homogenous. In sub-cm to 10s-of-micron-wide veins, magnetite associated with antigorite and clinochlore comprising the serpentine matrix is near-stoichiometric. But Al-Cr-[Fe.sup.3+] spinels in the chlorite-magnetite veins are invariably zoned, e.g., chemically homogenous Al-rich chromite interior successively mantled by ferritchromite/Cr-rich magnetite zone and magnetite continuous with vein magnetite in the serpentine matrix. In aluminous chromite, ferritchromite/Cr-rich magnetite zones are symmetrically disposed adjacent to fracture-controlled magnetite veins that are physically continuous with magnetite rim. The morphology of ferritchromite-Cr-rich magnetite mimics the morphology of aluminous chromite interior but is incongruous with the exterior margin of magnetite mantle. Micropores are abundant in magnetite veins, but are fewer in and do not appear to be integral to the adjacent ferritchromite-Cr-rich magnetite zones. Sandwiched between chemically homogenous aluminous chromite interior and magnetite mantle, ferritchromite-Cr-rich magnetite zones show rim-ward decrease in [Cr.sub.2][O.sub.3], [Al.sub.2][O.sub.3] and MgO and complementary increase in [Fe.sub.2][O.sub.3] at constant FeO. In diffusion profiles, [Fe.sub.2][O.sub.3]-[Cr.sub.2][O.sub.3] crossover coincides with [Al.sub.2][O.sub.3] decrease to values Keywords Zoned Cr-Al-Fe-Mg spinel * Dissolution-precipitation * Advection transfer * Inter-crystalline diffusion * Serpentinization * Wehrlite, Introduction Spinel [(Mg, [Fe.sup.2+]) [(Cr, Al, [Fe.sup.3+]).sub.2][O.sub.4]] in serpentinized ultramafic rocks (and associated chromitite) is often zoned with Cr, Al-rich interior mantled successively outward by ferritchromite and pure magnetite rim [...]