Miracle-dz/UniFAR-FTUs huggingface dataset:
Anti-inflammatory activities of arthropod peptides: a systematic review

Abstract Peptides obtained from different animal species have gained importance recently due to research that aims to develop biopharmaceuticals with therapeutic potential. In this sense, arthropod venoms have drawn attention, not only because of their toxicity but mainly for the search for molecules with various bioactivities, including anti-inflammatory activity. The purpose of the present study is to gather data available in the literature on new peptides derived from arthropod species with anti-inflammatory potential. This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Studies on peptides from arthropods that display anti-inflammatory activity were retrieved from PubMed, Scopus, Web of Science, and Google Scholar databases. The bibliographic research started in 2020 and searched papers without a limit on the publication date. The articles were analyzed using a search string containing the following terms: “Peptides” and “Anti-inflammatory”, in combinations such as “Ant”, “Bee”, “Wasp”, “Crab”, “Shrimp”, “Scorpion”, “Spider”, “Tick” and “Centipedes”. Besides, a search was carried out in the databases with the terms: “Peptides”, “Antitumor”, or “Anticancer”, and “Arthropods”. Articles that met the inclusion and exclusion criteria totalized 171, and these served for data extraction. Additionally, the present review included anti-inflammatory peptides with anticancer properties. Peptides with confirmed anti-inflammatory activity were from insects (ants, bees, and wasps), crustaceans (shrimp and crabs), arachnids (scorpions, spiders, and ticks), and centipedes. These arthropod peptides act mainly by decreasing pro-inflammatory cytokines as analyzed in vitro and in vivo. Some showed significant antineoplastic activity, working in essential cellular pathways against malignant neoplasms.
Efficacy of short-term telemedicine motivation-based intervention for individuals with Internet Use Disorder – A pilot-study

Abstract Background Internet Use Disorders (IUD) cover a range of online-related behavioral addictions, which are acknowledged and strengthened by the inclusion of (online) gaming disorder in the ICD-11 by the World Health Organization. Internet-based telemedicine interventions offer the possibility to reach out for individuals with IUD where the disorder emerges, in order to enhance their motivation to change their Internet use behavior. Methods In the course of the short-term telemedicine motivation-based intervention, adult participants took part in two webcam-based counselling sessions based on Motivational Interviewing techniques. Two weeks after the first webcam-based counselling session the second took place. Participants completed questionnaires regarding the motivation to change their Internet use behavior (iSOCRATES) and symptoms of IUD (s-IAT) at three times of measurement: t0 (pre-intervention), t1 (mid-intervention) and t2 (post-intervention). Results 73 affected individuals (83.6% male, average age 35 years (SD = 12.49) took part in the whole intervention including the questionnaire-based post intervention survey (t2). Over the course of the telemedicine intervention, a significant increase in the motivation to change with regard to the own Internet use behavior as well as a significant reduction in the symptom severity of an IUD and duration of Internet use (reduction of 2 hrs/d) were shown. Conclusion The telemedicine pilot study shows that online-based consultation can be effective and helpful for individuals with IUD. Therefore, such a telemedicine intervention may be a suitable extension to the already existing analogous care system.
Tissue-type plasminogen activator induces TNF-α-mediated preconditioning of the blood-brain barrier

Ischemic tolerance is a phenomenon whereby transient exposure to a non-injurious preconditioning stimulus triggers resistance to a subsequent lethal ischemic insult. Despite the fact that not only neurons but also astrocytes and endothelial cells have a unique response to preconditioning stimuli, current research has been focused mostly on the effect of preconditioning on neuronal death. Thus, it is unclear if the blood-brain barrier (BBB) can be preconditioned independently of an effect on neuronal survival. The release of tissue-type plasminogen activator (tPA) from perivascular astrocytes in response to an ischemic insult increases the permeability of the BBB. In line with these observations, treatment with recombinant tPA increases the permeability of the BBB and genetic deficiency of tPA attenuates the development of post-ischemic edema. Here we show that tPA induces ischemic tolerance in the BBB independently of an effect on neuronal survival. We found that tPA renders the BBB resistant to an ischemic injury by inducing TNF-α-mediated astrocytic activation and increasing the abundance of aquaporin-4-immunoreactive astrocytic end-feet processes in the neurovascular unit. This is a new role for tPA, that does not require plasmin generation, and with potential therapeutic implications for patients with cerebrovascular disease.
Bronchopulmonary dysplasia: Incidence and severity in premature infants born at high altitude

Bronchopulmonary dysplasia (BPD) is the most common cause of chronic lung disease in children born prematurely. There is little information about the epidemiology and severity of BPD places with high altitude. This study aimed to evaluate the frequency of BPD severity levels and the associated risk factors with severity in a cohort of preterm newborns ≤36weeks of gestational age born in Rionegro, Colombia
A Six Sigma framework for marine container terminals

Purpose – This research uses an optimisation model, based on the Six Sigma methodology, which assists marine container terminal operators to minimize trucks' congestions, as a defect in the global containerisation and smoothing the gate activity to reduce trucks' turn‐around times. The main purpose of this paper is implementing the Six Sigma in the landside of marine container terminals to reduce the average number of trucks in queues and average trucks' waiting times in both entrance and exit gates.Design/methodology/approach – This study examines the applicability of the DMAIC method along with the SIPOC, cause and effect diagram, and failure mode and effect analysis (FMEA). Findings – In this paper, Six Sigma methodology is found as an accurate optimisation tool in marine container terminals. Risk Priority Numbers obtained from the FMEA analysis denote that additional control procedures and associated inspections are needed as monitoring tools on the working time and activity of weighbridge operators an.
Periprocedural complications of cardiac implantable electronic device implantation in very elderly patients with cognitive impairment

Abstract Very elderly people (over 80 years) with cardiac implantable electronic devices (CIEDs) indications often have a higher prevalence of aging comorbidity, among which cognitive impairment is not uncommon. This study aimed to investigate periprocedural complications of CIED implantation among very elderly patients with and without cognitive impairment. One hundred eighty patients ≥80 years of age indicated for CIED implantation were included in our study. During hospitalization, the cognitive evaluation was performed according to the Diagnostic and Statistical Manual of Mental Disorders (fifth edition). According to the cognitive test results, patients were divided into 2 groups (90 patients with normal cognitive function and 90 patients with cognitive impairment). Meanwhile, their physical parameters and laboratory measurements were completed. The procedural data and periprocedural complications were collected from both groups. The association between cognitive impairment and periprocedural complications was analyzed using univariate and multiple logistic regression analyses. During a one-month follow-up, the most frequent periprocedural complications in very elderly patients were pocket hematoma and thrombosis events. Cognitively impaired patients had a higher incidence of complications than normal cognitive patients. Multivariate regression analysis showed that cognitive impairment was positively correlated with periprocedural complications in very elderly patients. Cognitive impairment is associated with increased periprocedural complications of CIED implantation in very elderly patients.
Time-frequency scanning in narrow-band speech transmission

Two basic sampling methods for the transmission of intelligible speech with reduced channel capacity have previously been studied. The channel vocoder developed by Dudley is based on frequency band separation or quantization, and Schisser, and Fairbanks, Everitt, and Jaeger have developed a technique of time sampling. Sampling in both time and frequency offers a third major possibility which should be investigated. For this study a narrow-band speech transmission system was constructed which scans the time-frequency plane. The system scans in either a sinusoidal or in a sawtooth manner over a frequency range of 200 to 7000 cps. In order to achieve the scanning, a variable carrier frequency oscillator, having a frequency shift of ± 30 per cent of the carrier frequency and an amplitude modulation of ± 2 db, has been developed. The process of scanning leaves empty spaces in the time-frequency plane, and a four-channel time-delay system which employs the method of dielectric recording has been used to fill the gaps in the time-frequency plane by repeating the signal samples. When signal reiteration is employed with this system, a score of 75 per cent of monosyllabic phonetically balanced word lists was obtained with a scanning filter of 1000-cps bandwidth and a sinusoidal scanning rate of 30 times per second. This intelligibility is appreciably higher than that which can be achieved with a fixed 1000-cycle filter located in the frequency region of maximum intelligibility.
A review of explainable and interpretable AI with applications in COVID‐19 imaging

Abstract The development of medical imaging artificial intelligence (AI) systems for evaluating COVID‐19 patients has demonstrated potential for improving clinical decision making and assessing patient outcomes during the recent COVID‐19 pandemic. These have been applied to many medical imaging tasks, including disease diagnosis and patient prognosis, as well as augmented other clinical measurements to better inform treatment decisions. Because these systems are used in life‐or‐death decisions, clinical implementation relies on user trust in the AI output. This has caused many developers to utilize explainability techniques in an attempt to help a user understand when an AI algorithm is likely to succeed as well as which cases may be problematic for automatic assessment, thus increasing the potential for rapid clinical translation. AI application to COVID‐19 has been marred with controversy recently. This review discusses several aspects of explainable and interpretable AI as it pertains to the evaluation of COVID‐19 disease and it can restore trust in AI application to this disease. This includes the identification of common tasks that are relevant to explainable medical imaging AI, an overview of several modern approaches for producing explainable output as appropriate for a given imaging scenario, a discussion of how to evaluate explainable AI, and recommendations for best practices in explainable/interpretable AI implementation. This review will allow developers of AI systems for COVID‐19 to quickly understand the basics of several explainable AI techniques and assist in the selection of an approach that is both appropriate and effective for a given scenario.
Analysis of nonlinear phenomena in MOV connected transformer

This paper investigates the effect of a metal oxide arrester on the ferroresonance behaviour of a transformer connected in parallel. It is known that the arresters may in some cases cause ferroresonance ‘dropout’. This aspect is examined in detail here by proper modelling of the nonlinear characteristics such as arrester characteristics and transformer saturation. Time-domain simulation has been carried out using a fourth-order Runge–Kutta method and the results were corroborated using EMTP. The results reveal that the presence of the arrester has a mitigating effect on ferroresonant overvoltages. Extensive simulations have been carried out to analyse the sensitivity with respect to arrester parameters, transformer saturation characteristics and the amplitude of the voltage source occurring in the Thevenin equivalent of the circuit. The presence of the arrester has a significant effect on the onset of chaos, the range of parameter values for which chaos persists and the magnitude of ferroresonant over voltages.
Engineered Customizable Microvessels for Progressive Vascularization in Large Regenerative Implants

Inspired by the rapid angiogenesis of natural microvessels in vivo, engineered customizable microvessels (ECMVs) are developed which can naturally angiogenic sprout and induce vascular network formation via combing a celluar coaxial microfluidic extrusion technique with microsurgery post‐process. ECMVs can be used for customization of primarily pre‐vascularized soft tissue regenerative implants with personalized shape and vascular density with the aid of sacrificial printing technology. After collaborating with surrounding cells, ECMVs angiogenic sprouted and formed daughter vascular networks. Through techniques such as injection and suturing, ECMVs can also be introduced into large bone repair implants for pre‐vascularization and osteogenesis promotion. Furthermore, the microvessel networks with personalized shapes are customized by connecting the coaxial microfluidic system to a 3D printer. It is further demonstrated that the vascularization promotion and anastomose with host vessels of the ECMVs in vivo. Thus, ECMVs provide a simple engineering strategy for rapid vascularization of clinically large regenerative soft/hard tissue implants.
An Estimation of Air Drying Time of Dimensional Lumber

To monitor the air-drying time of dimensional lumber, load beams equipped with a data logger were used to collect lumber weight loss data. A weather station on the same site as the air-drying experiment was used to obtain the information regarding air temperature and relative humidity and wind velocity. A multiple regression model for estimating the drying rates for 2-in. × 4-in. × 8-ft (38.5-mm × 90-mm × 250-cm) green spruce/pine dimensional lumber was developed. Data analysis revealed that wind direction did not have a significant effect on the rate of moisture loss. Thus, the resulting regression equation takes temperature, relative humidity, initial moisture content, and wind speed into account. Based on historical weather information for a particular location, the model developed can be used as a practical guideline for estimating air drying time and therefore offers the user a valuable tool for planning green yard inventory.
Practical methods for transfer limit analysis in the power industry deregulated environment

The rapid deregulation of the US power industry and the exploding number of bilateral transactions between control areas has necessitated the development of new tools and methods calculating and updating available transfer capability (ATC). ATC values must be rapidly updated for new capacity reservations, schedules or transactions. There is a strong demand to improve the uncertainty analysis of the ATC limits for a number of varying factors, including uncertainties in the location of the delivery and receiving points. New tools are required to compute capacity benefits and transmission reliability margins. This paper describes some of the novel practical methods for ATC sensitivity and uncertainty analysis that have been recently developed by the authors and have been used by numerous utilities in the US On large scale load flow cases with over 30,000 buses representing the entire Eastern interconnection.
Space vector-based analytical analysis of the input current distortion of a three-phase discontinuous-mode boost rectifier system

The low frequency harmonic distortion of the mains current of a three-phase single-switch discontinuous-mode boost-rectifier is calculated. The system analysis is based on application of space vector calculus and on substitution of discontinuous time shapes within a pulse period by quasi-continuous time shapes. The quasi-continuous time shapes are defined by averaging over the pulse period. The dependency of the shape of the input currents on the voltage transformation ratio is given for various control methods in analytical form. The results of the theoretical analysis are verified by digital simulation and by measurements on a laboratory model. Good consistency of the results has been found. <<ETX>>
A high‐density 256‐channel cap for dry electroencephalography

High‐density electroencephalography (HD‐EEG) is currently limited to laboratory environments since state‐of‐the‐art electrode caps require skilled staff and extensive preparation. We propose and evaluate a 256‐channel cap with dry multipin electrodes for HD‐EEG. We describe the designs of the dry electrodes made from polyurethane and coated with Ag/AgCl. We compare in a study with 30 volunteers the novel dry HD‐EEG cap to a conventional gel‐based cap for electrode‐skin impedances, resting state EEG, and visual evoked potentials (VEP). We perform wearing tests with eight electrodes mimicking cap applications on real human and artificial skin. Average impedances below 900 kΩ for 252 out of 256 dry electrodes enables recording with state‐of‐the‐art EEG amplifiers. For the dry EEG cap, we obtained a channel reliability of 84% and a reduction of the preparation time of 69%. After exclusion of an average of 16% (dry) and 3% (gel‐based) bad channels, resting state EEG, alpha activity, and pattern reversal VEP can be recorded with less than 5% significant differences in all compared signal characteristics metrics. Volunteers reported wearing comfort of 3.6 ± 1.5 and 4.0 ± 1.8 for the dry and 2.5 ± 1.0 and 3.0 ± 1.1 for the gel‐based cap prior and after the EEG recordings, respectively (scale 1–10). Wearing tests indicated that up to 3,200 applications are possible for the dry electrodes. The 256‐channel HD‐EEG dry electrode cap overcomes the principal limitations of HD‐EEG regarding preparation complexity and allows rapid application by not medically trained persons, enabling new use cases for HD‐EEG.
Roles of eukaryotic elongation factor 2 kinase (eEF2K) in neuronal plasticity, cognition, and Alzheimer disease

Understanding the molecular signaling mechanisms underlying cognition and neuronal plasticity would provide insights into the pathogenesis of neuronal disorders characterized by cognitive syndromes such as Alzheimer disease (AD). Phosphorylation of the mRNA translational factor eukaryotic elongation factor 2 (eEF2) by its specific kinase eEF2K is critically involved in protein synthesis regulation. In this review, we discussed recent studies on the roles of eEF2K/eEF2 signaling in the context of regulation/dysregulation of cognitive function and synaptic plasticity. We specifically focus on the discussion of recent evidence indicating suppression of eEF2K signaling as a potential novel therapeutic avenue for AD and related dementias (ADRDs).
Parametric FEA thermal model for QFP packages

Computer models are used with increasing frequency in the industry to predict package thermal performance. To reduce calculation times to acceptable levels, simplifications are often made in one or more of the following three areas: 1) package geometry, 2) printed circuit board (PCB) or 3) heat transfer to the ambient. This paper provides guidelines for implementing simplifications in each of these three areas in the area of a single QFP package attached to a board and evaluates their accuracy by comparing the results of the simplified models either with appropriate FEA computer models or experimental measurements.
Investigation of bioactive chemical constituents and anti-cancer activity of ethanol extract of Curcuma singularis Gagnep rhizomes

Abstract Curcuma singularis Gagnep is a Vietnamese medicinal plant which has been commonly used in traditional and folk medicines for the treatment of different diseases. The goals of the present study are to investigate chemical composition and anti-proliferative activity of Curcuma singularis rhizome extract (CSE). The in vitro cytotoxicity of CSE was evaluated using WST-1 and LDH assays. The apoptosis induction was determined using nuclei DAPI staining and FACS assays. The main compounds of extract were identified and quantitatively analyzed using the validated HPLC method. The extract showed cytotoxic effects in various liver and breast cancer cells but had minimal effects on normal cells. It induced apoptosis on both Hep3B and SKBR3 cells in a dose-dependent manner. In addition, three sesquiterpene compounds, such as germacrone (3.25 ± 0.32 mg/g), ar-turmerone (1.12 ± 0.24 mg/g), and curcumol (0.31 ± 0.12 mg/g) were found as the main components of CSE. This is the first report on the in vitro cytotoxic effect of Curcuma singularis rhizomes against cancer cells. Graphical Abstract
Deficiency of lncRNA SNHG12 impairs ischemic limb neovascularization by altering an endothelial cell cycle pathway

SNHG12, a long noncoding RNA (lncRNA) dysregulated in atherosclerosis, is known to be a key regulator of vascular senescence in endothelial cells (ECs). However, its role in angiogenesis and peripheral artery disease has not been elucidated. Hind-limb ischemia studies using femoral artery ligation (FAL) in mice showed that SNHG12 expression falls readily in the acute phase of the response to limb ischemia in gastrocnemius muscle and recovers to normal when blood flow recovery is restored to ischemic muscle, indicating that it likely plays a role in the angiogenic response to ischemia. Gain- and loss-of-function studies demonstrated that SNHG12 regulated angiogenesis — SNHG12 deficiency reduced cell proliferation, migration, and endothelial sprouting, whereas overexpression promoted these angiogenic functions. We identified SNHG12 binding partners by proteomics that may contribute to its role in angiogenesis, including IGF-2 mRNA–binding protein 3 (IGF2BP3, also known as IMP3). RNA-Seq profiling of SNHG12-deficient ECs showed effects on angiogenesis pathways and identified a strong effect on cell cycle regulation, which may be modulated by IMP3. Knockdown of SNHG12 in mice undergoing FAL using injected gapmeRs) decreased angiogenesis, an effect that was more pronounced in a model of insulin-resistant db/db mice. RNA-Seq profiling of the EC and non-EC compartments in these mice revealed a likely role of SNHG12 knockdown on Wnt, Notch, and angiopoietin signaling pathways. Together, these findings indicate that SNHG12 plays an important role in the angiogenic EC response to ischemia.