Miracle-dz/UniFAR-FTUs huggingface dataset:
Protective effects of anthocyanins and degradation products on oxidative stress in human colon carcinoma cells

Einleitung: Das am haufigsten vorkommende Anthocyanidin in essbaren Pflanzenteilen ist Cyanidin mit Cyanidin-3-glucosid als haufigstes Anthocyan. Das Ziel dieser Arbeit war, die vorherrschenden Holunderbeeren-Anthocyane Cy-3-glc, Cy-3-sam (Cyanidin-3-sambubiosid) und Cy-3-sam-5-glc (Cyanidin-3-sambubiosid-5-glucosid) samt ihren Metaboliten Cy und Phloroglucinolaldehyd (PGA) bezuglich ihrer antioxidativen und ROS-schutzenden Wirkung in C2BBe1-Kolonzellen zu untersuchen. Material und Methoden: Potenzielle Artefakte bei den antioxidativen Tests aufgrund zytotoxischer Wirkung wurden mit dem Toxizitatstest Sulforhodamin B ausgeschlossen. Der Effekt auf intrazellulare ROS wurde mit der DCF-Assay nach eine Stunde Inkubation gemessen. Der protektive Effekt der Anthocyane wurde nach 24 h Inkubation und eine nachfolgende einstundige ROS-Induktion durch H2O2 und anschliesende Fluoreszenzmessung ermittelt. Ergebnis: Keine der Substanzen hatte eine signifikante Wirkung auf das Zellwachstum nach 24 Stunden Inkubation. Alle Anthocyane und das Aglykon Cy bewirkten eine potente Abnahme der intrazellularen ROS-Produktion. Cy-3-glc und Cy-3-sam zeigten dabei die starksten Effekte im Vergleich zur Losungsmittelkontrolle. Die hochste Konzentration von 200 µM bewirkte eine ROS-Bildung von jeweils nur 11 und 8% im Vergleich zur Losungsmittelkontrolle von 100%. Im Gegensatz dazu fuhrte der Metabolit PGA zu einer signifikanten Zunahme der ROS-Produktion mit dem Peakmaximum bei der Konzentration 25 µM (156%). Nach Vorinkubation mit 200 µM Cy-3-glc und Cy-3-sam zeigten die Zellen signifikant reduzierte ROS-Spiegel und damit eine protektive Wirkung gegen H2O2 (T/C 61%; 62%). Keine der anderen Substanzen wirkte protektiv. Schlussfolgerung: Holunderbeerenanthocyane reduzieren effektiv intrazellularer oxidativer Stress in C2BBe1-Zellen und Cy-3-glc und Cy-3-sam wirken dabei protektiv gegen H2O2-induzierter ROS.
Advanced Grid Connected Solar Variable Speed Drive for Three Phase Asynchronous Motors. (Dept. E)

in Arabic: تقاطلا ماذخخسا نخي ، لوعلا اذه يف حاىللأا ليغشح قيزط يع ةءافكب تيسوشلا ( تقاطلل تطقً ًصقأ ذٌع تيئىضوزهكلا MPP ٍذه .يهاشخه زيغ كزحه ليغشخل ) ، يزخأ تيبزهك رداصه تلىهسب اهيف زفىخح لا يخلا فقاىولا يف تياغلل ةذيفه بيلاسلأا زيغ ثاكزحولا ٍذه . يزخلأا ةدذجخولا تقاطلا رداصهو تقاطلا ثاداذهإ تكبش لثه تيسيئزلا ثاًىكولا . ليغشخلاو تًايصلا فيلاكح ضافخًا ببسب اداصخقا زثكأ تٌهاشخولا نكحخلا تحىلو تيسوشلا حاىللأا يه تٌهاشخه زيغلا تيسوشلا تقاطلا ثازحه ماظٌل كزحهو يهاشخه زيغ قبط . ل ا حزخقولا ماظٌل نخي يه تقاطلا ءاطعإ حاىللاا كزحولا ًلإ تيسوشلا ةذعاسوب اخلا نكحخولا ثاكزحولاب ص تيئابزهكلا تقاطلا ليىحح قيزط يع يهاشخولا زيغ سكاعلا ماذخخساب ددزخولا رايخلا تقاط ًلإ تيئىضوزهكلا تحىل يه ةذلىخولا . لا ى ا تقاطلا ح لوعلل تحزخقولا تيسوشلا ـب ذيوشح عيطخسح اهب 5 ىليك ثاو . يهاشخولا زيغ كزحولا رذقب مذخخسولا ة 4.5 دلاث ماذخخسا نخي . ىاصح يهو لوعلا اذه يف نكحح ثايجيحازخسا ليذعح Carrier Pulse width modulation ( PWM و ) Field Oriented Control ( FOC ) عبخخه تقاطلا تطقٌل ًصقلأا ذحلا ًوظعلا ( MPPT ٍذه شقاٌح .) لثه تقاطلا تطقٌل ًصقلأا ذحلا عبخخل يباسحلا ضزعلل ةدذعخه ثايٌقح تقرىلا Perturb & Observe (P&O) و Incremental Conductance (Inc) ماذخخساب . Field Oriented Control ماذخخساب نكحخلا ثايٌقح ذيفٌح نخي Matlab / Simulink . بيلاسأ ًلع توئاقلا نكحخلا ثاذحو ىأ ةاكاحولا جئاخً زهظح Incremental Conductance عه Field Oriented Control اهًأب ءادأ زشؤه لكل تيلعاف زثكأ . تيلاع تيكيهاٌيد تباجخساو ، زصقأ دىعص جقوو ، زغصأ سواجح تويق اهل ىلأ
Two-dimensional location of moving targets within local areas using WiFi-based multistatic passive radar

In this study the authors investigate the two-dimensional target localisation capabilities of a passive radar system based on WiFi transmissions. It is well known that the most straightforward way to achieve the target position estimation in the horizontal plane with a passive radar exploits the measurements either of a single bistatic range plus a direction of arrival (DoA) or of two bistatic ranges collected by two separate receivers. However, for a practical application it is interesting to clearly define which one of the two approaches provides the passive radar target localisation with a higher accuracy and whether combining both multiple bistatic range plus DoA measurements provides a further advantage. A multistatic configuration is considered which allows to collect a set of range/Doppler/angle measurements for a given target. Different target localisation strategies are devised and compared, based on subsets of the available measurements with the aim of understanding the localisation accuracies achievable using the different combinations of measurements. Experimental results are shown based on a passive radar prototype developed and fielded at the DIET Department - Sapienza University of Rome. This will contribute to demonstrate the fruitful application of the passive radar concept for short range surveillance.
Prediction of Coating Adhesion on Laser-Cleaned Metal Surfaces of Battery Cells Using Hyperspectral Imaging and Machine Learning

Electric vehicles are shaping the future of the automotive industry. The traction battery is one of the most important components of electric cars. To ensure that the battery operates safely, it is essential to physically and electrically separate the cells facing each other. Coating a cell with varnish helps achieve this goal. Current studies use a destructive method on a sampling basis, the cross-cut test, to investigate the coating quality. In this paper, we present a fast, nondestructive and inline alternative based on hyperspectral imaging and artificial intelligence. Therefore, battery cells are measured with hyperspectral cameras in the visible and near-infrared (VNIR and NIR) parts of the electromagnetic spectrum before and after cleaning then coated and finally subjected to cross-cut test to estimate coating adhesion. During the cross-cut test, the cell coating is destroyed. This work aims to replace cross-cut tests with hyperspectral imaging (HSI) and machine learning to achieve continuous quality control, protect the environment, and save costs. Therefore, machine learning models (logistic regression, random forest, and support vector machines) are used to predict cross-cut test results based on hyperspectral data. We show that it is possible to predict with an accuracy of ~75% whether problems with coating adhesion will occur. Hyperspectral measurements in the near-infrared part of the spectrum yielded the best results. The results show that the method is suitable for automated quality control and process control in battery cell coating, but still needs to be improved to achieve higher accuracies.
Preventive effects of aqueous extract of the whole plant of Eleusine indica (Linn) Gaertn. (Poaceae) against L-NAME induced nephrotoxicity in rat

Background: The entire plant of Eleusine indica is used in Cameroonian folk medicine to treat several diseases including renal problems. We investigated the preventive effects of Eleusine indica aqueous extract (EIAE) against L-NAME induced renal damages in rats. Methods: Animals were divided into a control group (0.9 % saline, 10 mL/kg, ip) and 4 experimental groups. The rats in the negative control group received L-NAME (30 mg/kg, ip). The positive group was treated with losartan (12.5 mg/kg, per os) and L-NAME while the two last groups received EIAE (100 mg/kg or 200 mg/kg, per os) and LNAME injection. After 60 days of treatment, blood pressure was measured; lipid profile, kidney and some oxidative stress parameters were evaluated. Results: Intraperitoneal injection of L-NAME induced a significant elevation in blood pressure, of total cholesterol, triglycerides and LDL-c, with a significant reduction of HDL-c levels as compared to the control groups. Nephrotoxicity was evidenced by significant elevation in serum levels of creatinine, urea and K, accompanied by a significant reduction of Na and GFR as compared to controls. Catalase, GSH and nitrites were significantly decreased in L-NAME injected group. L-NAME solution gave simultaneously with Eleusine indica prevented the rise of blood pressure, improve lipid profile, kidney function and antioxidant defenses. Conclusion: These results confirm the nephroprotective effects of Eleusine indica aqueous extract and highlight its protective properties in L-NAME-induced renal failure and its antioxidant capacities against kidney damages.
Local and Systemic Cytokine, Chemokine, and FGF Profile in Bacterial Chondronecrosis with Osteomyelitis (BCO)-Affected Broilers

Complex disease states, like bacterial chondronecrosis with osteomyelitis (BCO), not only result in physiological symptoms, such as lameness, but also a complex systemic reaction involving immune and growth factor responses. For the modern broiler (meat-type) chickens, BCO is an animal welfare, production, and economic concern involving bacterial infection, inflammation, and bone attrition with a poorly defined etiology. It is, therefore, critical to define the key inflammatory and bone-related factors involved in BCO. In this study, the local bone and systemic blood profile of inflammatory modulators, cytokines, and chemokines was elucidated along with inflammasome and key FGF genes. BCO-affected bone showed increased expression of cytokines IL-1β, while BCO-affected blood expressed upregulated TNFα and IL-12. The chemokine profile revealed increased IL-8 expression in both BCO-affected bone and blood in addition to inflammasome NLRC5 being upregulated in circulation. The key FGF receptor, FGFR1, was significantly downregulated in BCO-affected bone. The exposure of two different bone cell types, hFOB and chicken primary chondrocytes, to plasma from BCO-affected birds, as well as recombinant TNFα, resulted in significantly decreased cell viability. These results demonstrate an expression of proinflammatory and bone-resorptive factors and their potential contribution to BCO etiology through their impact on bone cell viability. This unique profile could be used for improved non-invasive detection of BCO and provides potential targets for treatments.
Fog computing: An overview of IoT applications with security issues and challenges

IoT (The Internet of Things) introduces a revolution into the internet and hardware business, which through sharing information connect one device to another. These IoT devices are connected with a cloud platform for several tasks, including monitoring, categorization, management and control, storage, prediction, etc. Despite all of these features, there is no real-time analysis, in-hour processing and computing, flexibility, interoperability and so on. Fog Computing is an expansion of the cloud to address IoT problems and give a decentralized method. It is connected with cloud as well as end-user to overcome the unsupported features of IoT. These Fog nodes are mobile in nature, connected with multiple local network, local storage can make them more vulnerable where attacker can easily access the information and breach the security. This paper overview the various security issues and real-time applications with possible attacks. Further, we present some of the security challenges and its possible solution. Finally, we conclude the discussion with future research.
Why Do Public Safety Personnel Seek Tailored Internet-Delivered Cognitive Behavioural Therapy? An Observational Study of Treatment-Seekers

First responders and other public safety personnel (PSP) experience elevated rates of mental disorders and face unique barriers to care. Internet-delivered cognitive behavioural therapy (ICBT) is an effective and accessible treatment that has demonstrated good treatment outcomes when tailored specifically for PSP. However, little is known about how PSP come to seek ICBT. A deeper understanding of why PSP seek ICBT can inform efforts to tailor and disseminate ICBT and other treatments to PSP. The present study was designed to (1) explore the demographic and clinical characteristics, motivations, and past treatments of PSP seeking ICBT, (2) learn how PSP first learned about ICBT, and (3) understand how PSP perceive ICBT. To address these objectives, we examined responses to online screening questionnaires among PSP (N = 259) who signed up for an ICBT program tailored for PSP. The results indicate that most of our sample experienced clinically significant symptoms of multiple mental disorders, had received prior mental disorder diagnoses and treatments, heard about ICBT from a work-related source, reported positive perceptions of ICBT, and sought ICBT to learn skills to manage their own symptoms of mental disorders. The insights gleaned through this study have important implications for ICBT researchers and others involved in the development, delivery, evaluation, and funding of mental healthcare services for PSP.
The complete mitochondrial genome of the Angolan dentex Dentex angolensis (Perciformes: Sparidae)

Abstract The complete mitochondrial genome of the Angolan dentex (Dentex angolensis, Poll and Maul, 1953) is 16.581 bp in length and contains 13 protein-coding genes, 22 transfer RNA genes, and 2 ribosomal RNA genes. The overall base composition of D. angolesis mtDNA is: 27.4% for A, 28% for C, 16.7% for G, 27.9% for T. Phylogenetic analysis indicated that D. angolensis is most closely related to D. tumifrons. Whole genome sequencing of D. angolensis mitochondrial DNA will contribute to improving knowledge about Sparidae evolution.
Wireless Sensor Networks Data Transmission Based on Congestion by Cognized Routing Protocol

In wireless sensor networks (WSNs), sensor nodes share wireless channels to communicate with each other. So, link congestion often occurs and induces data retransmission easily. To avoid these issues, data transmission efficiency would be greatly enhanced and the energy consumption of network would save a lot. Based on this idea, we have designed a transmission-effective congestion-cognized (TECC) routing protocol in the paper. Routings are selected probabilistically and real-timely, according to the out-bound nodes’ satisfactory degrees of forwarding. Also, time stamps are used to control nodes’ status, effectively reducing the occurrence probability of conflict and link congestion in networks. Simulation results show that, TECC routing protocol has good performances of low-latency and energy-consuming equilibrium, which could significantly improve energy utilization and data transmission efficiency of network.
Computational Analysis and Characterization of Cockpit Environmental Control System of a Fighter Aircraft in Humid Environment

he Environmental Control System (ECS) is an important part of any fighter aircraft and has far reaching repercussions in terms of its capability to operate as an effective weapon system under adverse weatherconditions. The aircrew and majority of electronics depend on ECS to keep temperature, pressure and humidity levels within acceptable limits for efficient operation. These limits are explicitly defined in relevant MIL standards MIL-E-18927E(AS) [1] . In order to thoroughly analyze the ECS of under study aircraft [2, 3], Computational Fluid Dynamics (CFD) analysis techniques have been used. CFD techniques offer great flexibility since various conditions can be simulated and analyzed results can be used for required improvements in the system.
HAREM: high aspect ratio etching and metallization for microsystems fabrication

We report a simple bulk micromachining method for the fabrication of high aspect ratio monocrystalline silicon MEMS (microelectromechanical systems) in a standard silicon wafer. We call this two-mask microfabrication process high aspect ratio etching and metallization or HAREM: it combines double-side etching and metallization to create suspended micromechanical structures with electrically ‘insulating walls’ on their backside. The insulating walls ensure a proper electrical insulation between the different actuation and sensing elements situated on either fixed or movable parts of the device. To demonstrate the high potential of this simple microfabrication method, we have designed and characterized electrostatically actuated microtweezers that integrate a differential capacitive sensor. The prototype showed an electrical insulation better than 1 GΩ between the different elements of the device. Furthermore, using a lock-in amplifier circuit, we could measure the position of the moving probe with few nanometers resolution for a displacement range of about 3 µm.
A New Black Hole Solution in Conformal Dilaton Gravity on a Warped Spacetime

An exact time-dependent solution of a black hole is found in a conformally invariant gravity model on a warped Randall-Sundrum spacetime, by writing the metric 4 2 n g g μν μν ω − =  . Here, gμν  represents the “un-physical” spacetime and ω the dilaton field, which will be treated on equal footing as any renormalizable scalar field. In the case of a five-dimensional warped spacetime, we thereafter write ( ) ( ) 4 4 2 g g μν μν ω =  . The dilaton field ω can be used to describe the different notion the in-going and outside observers have of the Hawking radiation by using different conformal gauge freedom. The disagreement about the interior of the black hole is explained by the antipodal map of points on the horizon. The free parameters of the solution can be chosen in such a way that gμν is singular-free and topologically regular, even for 0 ω → . It is remarkable that the 5D and 4D effective field equations for the metric components and dilaton fields can be written in general dimension 4,5 n = . From the exact energy-momentum tensor in Eddington-Finkelstein coordinates, we are able to determine the gravitational wave contribution in the process of evaporation of the black hole. It is conjectured that, in context of quantization procedures in the vicinity of the horizon, unitarity problems only occur in the bulk at large extra-dimension scale. The subtraction point in an effective theory will be in the UV only in the bulk, because the use of a large extra dimension results in a fundamental Planck scale comparable with the electroweak scale.
Ultrafast Lasing Dynamics in a CsPbBr3 Perovskite Microplate

The perovskite microlaser is a competitive candidate of light source for optical communication and integrated photonic circuits. Understanding the fundamental mechanism of lasing is crucial for the upcoming devices. The ultrafast establishment of lasing modes within a 2D perovskite microplate cavity at room temperature is investigated. The transient red shift of lasing modes can be found. Analysis based on electron–hole plasma (EHP) and a dynamic Drude‐like model are carried out with simulations on the transient dielectric response and the mode shift. In addition, the integrated lasing gain profile have a red shift at high excitation intensity, which is explained with EHP‐induced bandgap renormalization. The conflict between the experimental phenomena and the exciton–polariton theory confirms that under intense excitation, the exciton–polariton is ruled out for the origin of lasing. These results provide a direct understanding of the lasing evolving in a 2D perovskite microcavity. Suppressing the EHP‐related transient shift of cavity modes will advance the lasing applications.
Exploratory and Exploitative Internationalization: Effects of Social Capital Antecedents and Fit Moderators of Innovation Consequence

Implementing international strategy is essential to enhance corporate innovation and achieve sustainable development. Existing research has theoretically illustrated the concept and importance of carrying out both exploratory and exploitative internationalization, yet our understanding of the antecedents and consequences of both activities remains unclear. Based on the data of Chinese international manufacturing firms, this paper examines the differential effects of business, government and knowledge network capital on exploratory and exploitative internationalization, and probes into how organizational, strategic, and environmental factors moderate the innovation effectiveness of exploratory and exploitative internationalization. Results indicate that business network capital has the same positive impact on exploratory and exploitative internationalization; government network capital influences the implementation of exploratory internationalization, whereas knowledge network capital influences the execution of exploitative internationalization. Furthermore, our findings reveal that, to maximize innovation performance, pursuing exploratory internationalization is more beneficial for firms with older age, firms entering into countries with low host–home country similarity, and operating in a more dynamic international environment. By contrast, pursuing exploitative internationalization is more effective for younger firms, firms entering into countries with high host–home country similarity, and in more stable international environment. Theoretical and managerial implications are discussed.
Extended Spectrum Beta-Lactamase Producing Infections Associated with Progressive Periodontitis

Aggressive periodontitis is a form of periodontitis characterized by rapid and severe periodontal destruction in otherwise young healthy individuals. The etiology of periodontitis is very complex including the dental biofilm, which triggers the immunoinflammatory response in a susceptible host. This interaction leads to the destruction of the periodontal tissues (1, 2). Pathogenic bacteria are the primary etiology agents in the International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 03 (2019) Journal homepage: http://www.ijcmas. com
IT Infrastructure Anomaly Detection and Failure Handling: A Systematic Literature Review Focusing on Datasets, Log Preprocessing, Machine & Deep Learning Approaches and Automated Tool

Nowadays, reliability assurance is crucial in components of IT infrastructures. Unavailability of any element or connection results in downtime and triggers monetary and performance casualties. Thus, reliability engineering has been a topic of investigation recently. The system logs become obligatory in IT infrastructure monitoring for failure detection, root cause analysis, and troubleshooting. This Systematic Literature Review (SLR) focuses on detailed analysis based on the various qualitative and performance merits of datasets used, technical approaches utilized, and automated tools developed. The full-text review was directed by Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology. 102 articles were extracted from Scopus, IEEE Explore, WoS, and ACM for a thorough examination. Also, a few more supplementary articles were studied by applying Snowballing technique. The study emphasizes the use of system logs for anomaly or failure detection and prediction. The survey encapsulates the automated tools under various quality merit criteria. This SLR ascertained that machine learning and deep learning-based classification approaches employed on selected features enable enhanced performance than traditional rule-based and method-based approaches. Additionally, the paper discusses research gaps in the existing literature and provides future research directions. The primary intent of this SLR is to perceive and inspect various tools and techniques proposed to mitigate IT infrastructure downtime in the existing literature. This survey will encourage prospective researchers to understand the pros and cons of current methods and pick an excellent approach to solve their identified problems in the field of IT infrastructure.