Miracle-dz/UniFAR-FTUs huggingface dataset:
Cardiac adverse effects of antiseizure medications

ABSTRACT Introduction Patients with severe epilepsy are at increased risk of cardiovascular disease and arrhythmias. Although antiseizure medications (ASMs) may have indirect protective effects against cardiovascular events by reducing seizure frequency and hence sudden death in epilepsy, some of them exert cardiotoxic effects. Areas covered Patients with epilepsy, mainly those with severe forms, are at higher risk of cardiac disease because their heart can have structural alterations and electrical instability as a consequence of repeated seizures. Some ASMs have direct protective effects through anti-inflammatory, antioxidant, hypotensive, and lipid-reducing properties. Antiseizure medications can also have toxic cardiac effects including both long-term consequences, such as the increased risk of atherogenesis and subsequent cardiovascular disease due to the influence on lipid profile and pro-inflammatory milieu, and immediate effects as the increased risk of potentially fatal arrhythmias due to the influence on ion channels. Sodium channel blocking ASMs may also affect cardiac sodium channels and this effect is particularly observed in subjects with genetic mutations in cardiac ion channels. Fenfluramine cause valvulopathies in obese subjects and this effect need to be evaluated in epilepsy patients. Expert opinion For the selection of treatment, cardiotoxic effects of ASMs should be considered; cardiac monitoring of treatment is advisable.
The Renaissance of KRAS Targeting in Advanced Non-Small-Cell Lung Cancer: New Opportunities Following Old Failures

Non-small cell lung cancer (NSCLC) represents the perfect paradigm of ‘precision medicine’ due to its complex intratumoral heterogeneity. It is truly characterized by a range of molecular alterations that can deeply influence the natural history of this disease. Several molecular alterations have been found over time, paving the road to biomarker-driven therapy and radically changing the prognosis of ‘oncogene addicted’ NSCLC patients. Kirsten rat sarcoma (KRAS) mutations are present in up to 30% of NSCLC (especially in adenocarcinoma histotype) and have been identified decades ago. Since its discovery, its molecular characteristics and its marked affinity to a specific substrate have led to define KRAS as an undruggable alteration. Despite that, many attempts have been made to develop drugs capable of targeting KRAS signaling but, until a few years ago, these efforts have been unsuccessful. Comprehensive genomic profiling and wide-spectrum analysis of genetic alterations have only recently allowed to identify different types of KRAS mutations. This tricky step has finally opened new frontiers in the treatment approach of KRAS-mutant patients and might hopefully increase their prognosis and quality of life. In this review, we aim to highlight the most interesting aspects of (epi)genetic KRAS features, hoping to light the way to the state of art of targeting KRAS in NSCLC.
The 4I-framework of business model innovation: a structured view on process phases and challenges

Business model innovation has received rising attention as a means for firms to achieve superior performance. Yet, as we argue based on a review of related literature, the research field so far lacks a comprehensive framework that supports managers in their endeavour to innovative their firms’ business models. Based on process models from innovation management literature and insights from 14 cases of past business model innovations, we develop the 4Iframework that structures the business model innovation process and highlights the specific challenges which managers face during the initiation, ideation, integration and implementation of new business models. Through our study, we also provide a conceptual framework to organise existing literature in the business model innovation field and identify promising areas for future research.
Effects of a Nutritional Supplement (DiRelaxTM) On Anxiety in Dogs

This study aimed to investigate the efficacy of DìRelaxTM, a nutraceutical formulated to reduce anxiety in dogs. The CBARQ questionnaire, some clinical investigations, and the impossible task test were performed in dogs before and after the treatment. Results showed an ameliorative effect on the performances of treated dogs during the solvable phases, with a significant decrease of the time needed to solve the task. No behavioral difference was found between treated and untreated anxious dogs during the unsolvable phase. According to the results from the C-BARQ questionnaire, some of the behaviors appear improved. In general, this study suggests that DiRelaxTM can be safely administered with no adverse effects and can exercise a beneficial effect on anxious dogs by enhancing their cognitive abilities.
A test chip for MOS transistor capacitance characterization

We present test chip for the capacitive characterization of MOS transistors. It allows one to measure accurately capacitances of the transistor and to identify the various components (i.e. gate-source, gate-bulk and gate-drain). From capacitance measurements, it is then possible to determine effective dimensions of the transistor (length and width) as well as gate oxide thickness. As Test Structures enable the measurement of very small capacitances, minimum dimension transistors are studied.
Wireless Sensor Network- An Advanced Survey

Wireless sensor networks (WSN) are becoming extremely attractive for both telecommunication and network industry. It is the promising technology to solve a number of present problems and creates new understanding to the future applications. These sensors can influence the understanding of the physical world around us by transmitting signals by sensing the physical around the field of influence of such devices. Such devices can then transmit electrical signals from sensor to sensor through the network until the signal reaches the sink stage. This survey explores the design issues, network services and mechanisms and some applications in this field. It provides an understanding for WSN technology, WSN OSI architecture, and some popular protocols in each layer, the main problems and their solution of using OSI in sensor network.
Beclin 1, LC3 and P62 Expression in Equine Sarcoids

Simple Summary Equine sarcoids, caused by bovine papillomaviruses, are equine skin tumors of fibroblastic origin. It is well known that bovine papillomaviruses are able to interfere with the survival and proliferation of cells by regulating autophagy, a mechanism implicated in the breakdown and reuse of old and damaged cellular material. The present study focused on the evaluation in equine sarcoids and normal skins of the expression level of some of the main proteins involved in the autophagic pathway, such as Beclin 1, LC3 and P62, by immunohistochemical and biochemical techniques. Results obtained in equine sarcoids suggested an alteration of the autophagic process which could lead to a predominance of a particular population of fibroblast. Those fibroblasts could survive longer in a hypoxic microenvironment and produce more and/or altered collagen, giving an origin to the equine sarcoid. Abstract Background: It is well known that δ-bovine papillomaviruses (BPV-1, BPV-2 and BPV-13) are one of the major causative agents of equine sarcoids, the most common equine skin tumors. Different viruses, including papillomaviruses, evolved ingenious strategies to modulate autophagy, a complex process involved in degradation and recycling of old and damaged material. Methods: The aim of this study was to evaluate, by immunohistochemistry (IHC) and Western blot (WB) analysis, the expression of the main related autophagy proteins (Beclin 1, protein light chain 3 (LC3) and P62), in 35 BPV1/2 positive equine sarcoids and 5 BPV negative normal skin samples. Results: Sarcoid samples showed from strong-to-moderate cytoplasmic immunostaining, respectively, for Beclin 1 and P62 in >60% of neoplastic fibroblasts, while LC3 immunostaining was weak to moderate in ≤60% of neoplastic fibroblasts. Western blot analysis confirmed the specificity of the antibodies and revealed no activation of autophagic flux despite Beclin 1 overexpression in sarcoid samples. Conclusion: Results could suggest the activation of the initial phase of autophagy in equine sarcoids, and its impairment during the following steps. The impairment of autophagy could lead to a selection of a quiescent population of fibroblasts, which survive longer in a hypoxic microenvironment and produced more and/or altered collagen.
Design of fast low-power floating high-voltage level-shifters

What limits performance in some recently published digital floating level-shifters are identified and a new level-shifter is proposed to address these limitations. An order-of-magnitude reduction in power dissipation compared with the recently published fast high-voltage level-shifters is obtained; simulations in a high-voltage 0.35 μm process show the proposed design is capable of shifting a 2.5 V logic signal up by 17.5 V with a propagation delay of 3 ns and a transition energy of 6 pJ.
Hemicentin-mediated type IV collagen assembly strengthens juxtaposed basement membrane linkage

Tissue attachment through linking juxtaposed basement membranes (BMs) is crucial for the structure and function of many organs. Gianakas et al. identify a key role for hemicentin and fibulin-1 in initiating BM–BM attachment and type IV collagen in stabilizing this linkage and allowing it to resist high mechanical loads.
A data-driven prediction model for Fennoscandian wildfires

Abstract. Wildfires are recurrent natural hazards that affect terrestrial ecosystems, the carbon cycle, climate and society. They are typically hard to predict, as their exact location and occurrence are driven by a variety of factors. Identifying a selection of dominant controls can ultimately improve predictions and projections of wildfires in both the current and a future climate. In this study, we applied a data-driven machine learning approach to identify dominant hydrometeorological factors determining fire occurrence over Fennoscandia, and produced spatiotemporally resolved fire danger probability maps. A random forest learner was applied to predict fire danger probabilities over space and time, using a monthly 2001–2019 satellite-based fire occurrence dataset at a 0.25° spatial grid as the target variable. The final data-driven model slightly outperformed the established Canadian fire weather index (FWI) used for comparison. Half of the 30 potential predictors included in the study were automatically selected for the model. Shallow volumetric soil water anomaly stood out as the dominant predictor, followed by predictors related to temperature and deep volumetric soil water. Using a local fire occurrence record for Norway as target data in a separate analysis, the test set performance increased considerably. This improvement shows the potential of developing reliable data-driven prediction models for regions with a high quality fire occurrence record, and the limitation of using satellite-based fire occurrence data in regions subject to small fires not picked up by satellites. We conclude that data-driven fire prediction models are promising, both as a tool to identify the dominant predictors and for fire danger probability mapping. The derived relationships between wildfires and its compound predictors can further be used to assess potential changes in fire danger probability under future climate scenarios.
Intelligent control of doubly‐fed induction generator systems using PIDNNs

An intelligent control for a stand‐alone doubly‐fed induction generator (DFIG) system using a proportional‐integral‐derivative neural network (PIDNN) is proposed in this study. This system can be applied as a stand‐alone power supply system or as the emergency power system when the electricity grid fails for all sub‐synchronous, synchronous, and super‐synchronous conditions. The rotor side converter is controlled using field‐oriented control to produce 3‐phase stator voltages with constant magnitude and frequency at different rotor speeds. Moreover, the grid side converter, which is also controlled using field‐oriented control, is primarily implemented to maintain the magnitude of the DC‐link voltage. Furthermore, the intelligent PIDNN controller is proposed for both the rotor and grid side converters to improve the transient and steady‐state responses of the DFIG system for different operating conditions. Both the network structure and online learning algorithm are introduced in detail. Finally, the feasibility of the proposed control scheme is verified through experimentation.
Comparison of Hydroxypropylcellulose and Hot-Melt Extrudable Hypromellose in Twin-Screw Melt Granulation of Metformin Hydrochloride: Effect of Rheological Properties of Polymer on Melt Granulation and Granule Properties

High-molecular-weight hypromellose (HPMC) and hydroxypropyl cellulose (HPC) are widely known, extended-release polymers. Conventional high-molecular-weight HPMCs are preferred in extended-release applications but not widely used in twin-screw melt granulation due to processability difficulties at low operating temperatures and potential drug degradation if high processing temperatures are used. Conversely, high-molecular-weight grade HPC (Klucel®) can be used in melt granulation processes. The purpose of this study was to evaluate the processability and dissolution behavior of HPC GXF ((Klucel® GXF) and a recently introduced type of hot-melt extrudable HPMC (Affinisol®) in extended-release metformin hydrochloride formulations using twin-screw melt granulation. Powder blends were prepared with 75% w/w metformin HCl and 25% w/w polymeric binder. Blends were granulated at processing temperatures of 160, 140, 120 and 100 °C. HPMC HME 4M (Affinisol® 4M) provided a fine powder, indicating minimum granulation at processing temperatures lower than 160 °C, and the tablets obtained with these granules capped during tableting. In contrast, acceptable tablets could be obtained with HPC GXF at all processing temperatures. Rheological studies including capillary rheometry to measure steady shear rate viscosity, and rotational rheometry to obtain time and temperature superposition data, showed that HPC GXF had a greater thermoplasticity than HPMC HME 4M, which made granulation possible with HPC GXF at low temperatures. Tablets compressed with granules obtained at 160 °C with both binders showed comparable dissolution profiles. High-molecular-weight HPC GXF provided a better processability at low temperatures and adequate tablet strength for the melt granulation of metformin HCl.
Dual-resonant π-shape with double L-strips PIFA for implantable biotelemetry

A compact -shape with a double L-strips planar inverted-F antenna (PIFA) is proposed for implantable biotelemetry in the Medical Implant Communication Services band (MICS band). The antenna occupies a volume of only 643 mm 3 (22.5 22.5 1.27 mm), operating frequency at 402 MHz. Utilising the -shape with the double L-strips PIFA structure can excite dual-resonate frequencies that control the dual-resonant frequency at 375 and 427 MHz to obtain the broad bandwidth of 80 MHz (362 442 MHz) at return loss of 10 dB. To demonstrate the performance of the implantable antenna more efficiently, the simulating skin fluids are also developed by varying alcohol concentration with salts. Thus, provided is a miniature, broadband implantable PIFA for biotelemetry with medical devices.
Modeling of a photonic bandgap and its application for the low-pass filter design

A new photonic bandgap unit structure for microstrip line is proposed. The equivalent circuit for the proposed photonic bandgap unit structure is derived by means of three dimensional field analysis methods. The equivalent circuit parameters are extracted by using the circuit analysis method. By employing the extracted parameters, the wide-band harmonic rejection low-pass filter is designed. The experimental results show the excellent agreements with theoretical results.
Application of acoustic emission techniques and artificial neural networks to partial discharge classification

Partial discharge (PD) detection, signal analysis and pattern identification, using acoustic emission measurements and the back-propagation (BP) artificial neural network (ANN) have been investigated. The measured signals were processed using three-dimensional patterns and short duration Fourier transforms (SDFT). Investigation indicates that using BP ANN with the SDFT components for classifying different PD patterns provides very good overall results.
Hongos del monumento natural Pico Diego De Ocampo: listado preliminar

Los hongos constituyen un grupo de organismos de mucha importancia para mantener un ecosistema estable. Se ofrece un listado preliminar sobre la micobiota del Monumento Natural Pico Diego de Ocampo. Se reportan 19 especies de hongos colectados en el Monumento Nacional Pico Diego de Ocampo. Se promueve la necesidad de realizar más inventarios micológicos en las áreas silvestres y protegidas del país, con la finalidad de conocer la diversidad de especies de hongos saprofitos, micorrícicos y parásitos. La mayor diversidad de especies corresponde a las familias Cerrenaceae, Hymenochaetaceae y Polyporaceae. La especie Galiella rufa se comunica por primera vez para el país.
Adaptive Switching Algorithm for Shunt Active Power filter with Model Predictive Control

The Algorithmic controllers have been widely adopted for power converter applications as in Model Predictive control and adaptive control. Algorithmic controllers are usually functioning with restrictions for electronic component protection. This article presents algorithmic control for modulating the switching frequency of power converters to reduce both switching losses and switching frequency. A low volt converter for shunt active power filter is used as an application for showing the effect of adaptive switching. Least Mean Square Adaptive Linear Neuron (ADALINE LMS) is proposed as algorithmic adaptive switching for model predictive controllers used with power converter applications. The proposed technique shows the reliability of limiting the switching frequency, interfacing it with model predictive control. The new technique is applicable on electrical grid and aircraft applications. THD is kept within a stable acceptable limit <5% with less switching frequency. The technique is designed and simulated on MATLAB SIMULINK and results are verified.
Broad-band erbium-doped fiber amplifier with double-pass configuration

We demonstrate a broad-band silica-based erbium-doped fiber amplifier (EDFA) with double-pass configuration. The signal gain and noise figure are obtained more than 24 dB and less than 6 dB, respectively, for 1526-1562 nm and 1569-1605 nm. The same signal gain can be achieved with 53% less pump power and 45% shorter erbium-doped fiber length, compared to a conventional parallel type EDFA. Furthermore, the noise figure and power conversion efficiency are improved for the wavelength range.
Roles of Cities in Creating Healthful Food Systems.

Over the past several decades, cities worldwide have attempted to reconfigure their food systems to improve public health, advance social justice, and promote environmental resilience using diverse municipal policies, often with the support of stakeholder-led governance mechanisms such as food policy councils. This article reviews the roles that cities have played in creating healthful urban food systems and the effects of those policies on public health. It explains that despite wide-ranging policy initiatives, disparities in food insecurity and malnourishment persist. It concludes by describing several promising pathways for urban food policy: engaging in food-focused urban planning to create equitable food environments; treating policies to address inequality and social justice as upstream food policies; considering the effects of new business models such as online food retail in urban food policy making; and using food procurement as a lever to influence regional, national, and global food systems. Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Evolution of Flood Defense Strategies: Toward Nature-Based Solutions

Flood defense strategies have evolved from hard-engineered systems to nature-based solutions that advocate for sustainability to meet today’s environmental, social, and economic goals. This paper aims to analyze the historical progression and evolutionary trends in flood control strategies that have led to nature-based solutions. An evaluative literature review was conducted to narrate the evolution of nature-based flood management approaches for different flood types, river floods, coastal floods, and stormwater run-offs. The analysis reflected three evolutionary trends: the transformation of hard measures to soft measures; secondly, the increase in society’s attention to ecosystems and their services; and, finally, divergence from single-function solutions to multi-function solutions. However, continuous monitoring and evaluation of the previous projects and adapting to the lessons learned are the key to progress towards sustainable flood management strategies and their societal acceptance.
Application of a simple device for “attracting” and “trapping” glioma cells in situ

Glioblastoma multiforme (GBM) is the most malignant adult brain tumor. The current adjuvant therapies for GBM are disappointing, which are based on cytotoxicity strategy. Thus, other ways should be explored to improve the curative effect. According to the strong invasive ability of GBM cells, we assume a new treatment strategy for GBM by developing a new cell trap device (CTD) with some kind of “attractive” medium loaded in it to attract and capture the tumor cells. The in vitro experiment showed that Hepatocyte Growth Factor (HGF) presented stronger chemotaxis on C6 and U87 cell line than the Epidermal Growth Factor (EGF) and Fibroblast Growth Factor (FGF). A simple in vitro CTD loaded with HGF was made and in vivo experiments results showed that HGF successfully attracted tumor cells from tumor bed in situ into the CTD. This study proposes the new strategy for GBM treatment of “attract and trap” tumor cells is proved to be feasible.