Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality and Reliability of YouTube Videos on Myocardial Infarction: A Cross-Sectional Study

Introduction: This study aims to assess the quality and reliability of the disease information available on YouTube (www.youtube.com) about “heart attacks” or myocardial infarctions, using a Global Quality Score (GQS) for quality, a DISCERN score for reliability, and a Video Power Index (VPI) for popularity. Methodology: In this cross-sectional observational study, the YouTube videos were analyzed in terms of the type of uploader, content, and other factors. The GQS, DISCERN score, and Video Power Index (VPI) were utilized to assess the quality, reliability, and popularity of the information, respectively. Results: The majority of the videos (78.44%) were uploaded over a year ago. Only 33.34% and 7.84% were uploaded by doctors and healthcare organizations, respectively. Around 72.55% of the videos contained information about symptoms, 66.67% discussed the causes, 52.94% covered treatment, and 47.06% focused on prevention. Additionally, 41.18% provided details on investigations, while only 19.61% touched upon mortality. Patient-created videos accounted for 19.61% of the content, and 15.69% of the videos included promotional material. Conclusion: The main outcome of our study indicates that the YouTube videos examined regarding myocardial infarctions exhibit high-quality content, as supported by a higher average GQS score. The consistent quality of information discovered in our study suggests that YouTube can serve as an additional platform for sharing knowledge and educating individuals about this important health condition. By raising awareness and delivering accurate information, these videos can help in early detection, prevention, and better outcomes for individuals who are at risk of experiencing a myocardial infarction.
Chemical Composition and Bioactivity of Pleiogynium timorense (Anacardiaceae)

A liquid chromatography-diode array detection-electrospray ionization mass spectrometric (HPLC–PDA-ESI/MS/MS) method was used for the analysis of the phenolic composition of the ethanolic extract obtained from the leaves of Pleiogynium timorense (DC.) Leenh. Twenty compounds were detected and tentatively characterized. In addition, further phytochemical investigations of the extract resulted in the isolation of twelve major phenolic compounds. Evidence of the structures of these compounds was obtained based on the interpretation of the UV, 1H NMR, 13C NMR and DQF-COSY spectral data. The antioxidant effect of the ethanolic extract was examined in vitro using 1,1-diphenyl-2-picrylhydrazyl (DPPH.) and super oxide anion radical scavenging assays. DPPH. radical scavenging activity was observed for the extract, with an IC50 of 21.9 μg/mL, while its super oxide anion scavenging activity was less pronounced, with an IC50 of 123.5 μg/mL The ethanolic extract showed significant hypoglycemic, antioxidant and anti-inflammatory properties. This study suggests that the ethanolic extract of Pleiogynium timorense is a potential source of antioxidant compounds, relatively non-toxic, and have possible beneficial health effects.
Learning Content Generation by Extracting Lecture Slides Based on Word Importance and Difficulty

This work aims to generate new learning contents from the original slides of one on-demand online lecture for preparation or review. They are related to users’ knowledge levels based on the importance and difficulty of the feature words in the original slides. For this purpose, we first extract feature words from the original slides and calculate their degrees of importance and difficulty. Then, we classify feature words into three groups based on knowledge level to generate learning contents. Finally, we evaluated and discussed the usefulness of our generated learning contents. And we also confirmed their effectiveness in preparation and review.
Supplementary Materials for On Data Scaling in Masked Image Modeling

We illustrate the training details of pre-training and finetuning for different tasks and different models. Table 1 presents pre-training details. Table 2 presents the finetuning details on ImageNet-1K image classification. Table 3 presents the fine-tuning details on iNaturalist 2018. Table 4 presents the fine-tuning details on COCO dataset. Table 5 presents the fine-tuning details on ADE20K dataset.
Comparative responses of fodder and grain teff (Eragrostis tef (Zucc.) Trotter) cultivars to spatial, temporal and nutritional management.

Teff has its origin in Ethiopia as grain crop , while in South Africa it is primarily a forage crop for hay and recently as summer grazing pasture. The response of teff herbage and grain production to planting date , growth stage at cutting, seeding rate and N fertilizer application was studied. Previously limited research data were available for teff production in South Africa. Spring plantings (September to October) are required to maximise total herbage yield with 9.40, 8.48 and 7.64 t DM ha') recorded for 1996/97, 1997/98 and 1998/99 respectively. Summer plantings (November to December) give maximum herbage yield from the first cut, yielding 4.42,4 . 72 and 3 . 78 t DM ha') for 1996/97, 1997/98 and 1998/99 respectively. The exact planting date is season dependent. Temperature and rainfall determine the beginning of the growth season regarding favourable conditions for teff germination and growth. Herbage yield of cut 1 increases with advancement in growth stage at cutting. Cutting at the vegetative and piping stages gives most number of cuts , up to five yielding 7.45 t DM ha') (1996) while the full flowering stage gives the least (one or two cuts , 4.75 and 7.72 t DM ha' ! in 1996 and 1997 respectively). Yield is also affected by environmental conditions influencing germination, biomass accummulation and regrowth after cutting and by lodging. A trad e-off results between herbage quantity and quality. Yield increases while quality decreases with advancing phenological stage, resulting in reduced digestibilty and CP and increased fibre content. Seeding rate differences were manifested primarily in weed infestation level, which varied between cultivars depending on leafiness and associated sward density. Nitrogen application levels gave maximum response between 75 and 150 kg N ha", with some cultivar differences . Split N application according to expected yield distribution related to planting date is recommended . Grain yield response to seeding rate and N fertilization levels could not be established. Heavy grain losses through thunderstorms and wet conditions at grain maturity precluded yield measurements. Teff yield responses are influenced by day length, environmental factors, such as temperature and rainfall. and phenological stage at cut ting. These variables influence biomass accumulation and regrowth .
An Improved BAT Algorithm Using Density-Based Clustering

BAT algorithm is a nature-inspired metaheuristic algorithm that depends on the principle of the echolocation behavior of bats. However, due to poor exploration, the algorithm suffers from being stuck in the local optima. An improved BAT algorithm based on the density-based clustering technique is proposed to enhance the algorithm’s performance. In this paper, the initial population is improved by generating two populations, randomly and depending on the clusters’ center information, and by getting the fittest individuals from these two populations, the initial improved one is generated. The random walk function is improved using chaotic maps instead of the fixed-size movement, so the local search is improved, as well as the global search abilities, by diversifying the solutions. Another improvement is dealing with stagnation by partitioning the search space into two parts depending on the generated clusters’ information to obtain the newly generated solution, comparing their quality with the previously generated solution, and choosing the best. The performance of the proposed improved BAT algorithm is evaluated by comparing it with the original BAT algorithm over ten benchmark optimization test functions. Depending on the results, the improved BAT outperforms the original BAT by obtaining the optimal global solutions for most of the benchmark test functions.
A Different Approach for Sensing Disruption

Spectrum sensing vulnerabilities in cognitive radio networks can significantly degrade performance. Most disruption attacks in the current literature involve spoofing of the free bands used for sensing by making them appear busy. In this study, we proposed a different approach for sensing disruptions. We examined the optimal strategy for an intelligent adversary with a given power to flip busy bands and make them appear free. The mechanism of sensing disruption was established by contaminating the noise power measurements. This is illustrated by a two-step sensing scheme in which energy detection, in conjunction with noise power estimation, is used by secondary users. We show that to flip busy bands, the optimal strategy for sensing link disruptions is equal-power, and partial-band flipping. We demonstrated that the maximum average number of missed detections can be derived under a constraint on power of the adversary. Through analytical and numerical results, we demonstrated the effectiveness of our approach in terms of the impact of disruption attacks on spectrum sensing.
Manufacturing consent

A scheme for consensus formation is considered wherein the value of a certain variable associated with the nodes of a network is fixed a priori for a prescribed set of K nodes, and allowed to propagate throughout the network through an averaging process that mimics a gossip algorithm. The objective is to find the best choice of these K nodes that will achieve the fastest convergence to consensus. This objective is captured by the Perron-Frobenius eigenvalue of the resultant sub-stochastic matrix, which then is the quantity one seeks to minimize. We propose an algorithm for this optimization problem, as well as a greedy scheme with some performance guarantees for a variant of the problem that seeks to minimize a simpler objective. Some other related formulations are also considered.
Drug, Healthcare and Patient Safety Dovepress Relationship between Leukotriene-modifying Agent Prescriptions Dispensed and Rate of Suicide Deaths by County in the Us

Background: The US Food and Drug Administration has issued warnings about a potential link between leukotriene receptor-modifying agents (LTMA) and suicide. These warnings are based on case reports and there is controversy about the association. While spontaneous reporting of suicide-related events attributed to LTMA has risen dramatically, these data may be biased by the warnings. The objective of this study was to explore the relationship between LTMA and suicide deaths using event data preceding the Food and Drug Administration warnings. Methods: We conducted a mixed-effects Poisson regression analysis of the association between LTMA prescriptions dispensed and suicide deaths at the county level. Counts of suicide deaths in each US county, stratified by race, age group, gender, and year were obtained from the Counts of LTMA prescriptions dispensed in each US county were obtained from IMS Health Incorporated. The model estimated the overall suicide rate conditional on LTMA use, adjusted for age, gender, race, year, and antidepressant utilization. We also assessed the intracounty and intercounty associations. 0.05–0.05) per 1000 for montelukast, zafirlukast, and zileuton, respectively. We found a negative within-county association between the rate of total LTMA prescriptions dispensed and the suicide rate by county (P = 0.0296). This association was primarily driven by montelukast. Conclusion: Our results, while subject to certain limitations, provide preliminary evidence that the association between LTMA and suicide could be different (ie, reduced risk) than that which might be anticipated based on previous warnings. Patient-level research is needed to understand more clearly the association between LTMA and suicide.
Design of Base Station Density for Maximizing Coverage Probability in Multicell Networks With LoS/NLoS Channels

Emerging multicell networks such as mmWave, THz, and sub-6GHz UDN networks are often modeled via mixed channels including line-of-sight (LoS) and non-LoS (NLoS). These mixed LoS and NLoS channels result in the existence of the optimal base station (BS) density to maximize coverage probability. Therefore, this letter investigates the analytical designs of BS density, one of which has a closed form. The results demonstrate that the proposed design can be comprehensively applied to various LoS/NLoS models as well as various networks.
Differences in Cholesterol Metabolism, Hepato-Intestinal Aging, and Hepatic Endocrine Milieu in Rats as Affected by the Sex and Age

Age and sex influence serum cholesterol levels, but the underlying mechanisms remain unclear. To investigate further, we measured cholesterol, precursors (surrogate synthesis markers), degradation products (oxysterols and bile acid precursors) in serum, the liver, jejunum, and ileum, as well as serum plant sterols (intestinal absorption markers) in male and female Wistar rats (4 and 24 months old). The analysis of histomorphometric and oxidative stress parameters (superoxide dismutase, catalase, glutathione-related enzyme activities, lipid peroxide, and protein carbonyl concentrations) in the liver and jejunum offered further insights into the age- and sex-related differences. The hepatic gene expression analysis included AR, ERα, and sex-specific growth hormone-regulated (Cyp2c11 and Cyp2c12) and thyroid-responsive (Dio1, Tbg, and Spot 14) genes by qPCR. We observed age-related changes in both sexes, with greater prominence in females. Aged females had significantly higher serum cholesterol (p < 0.05), jejunum cholesterol (p < 0.05), and serum plant sterols (p < 0.05). They exhibited poorer hepato-intestinal health compared with males, which was characterized by mild liver dysfunction (hydropic degeneration, increased serum ALT, p < 0.05, and decreased activity of some antioxidant defense enzymes, p < 0.05), mononuclear inflammation in the jejunal lamina propria, and age-related decreases in jejunal catalase and glutathione peroxidase activity (p < 0.05). Aged females showed increased levels of 27-hydroxycholesterol (p < 0.05) and upregulated ERα gene expression (p < 0.05) in the liver. Our study suggests that the more significant age-related increase in serum cholesterol in females is associated with poorer hepato-intestinal health and increased jejunal cholesterol absorption. The local increase in 27-hydroxycholesterol during aging might reduce the hepatoprotective effects of endogenous estrogen in the female liver.
conventional fractionated helical tomotherapy for patients with small to medium hepatocellular carcinomas without portal vein tumor thrombosis

Background: The purpose of this study was to evaluate clinical outcomes of conventional fractionated helical tomotherapy in patients with small to medium hepatocellular carcinomas (HCCs) without portal vein tumor thrombosis. Methods: Patients with up to four HCC lesions not treatable by surgery or percutaneous ablative therapies, , 10 cm in the longest diameter, and no evidence of major vascular invasion were included. From January 2008 to January 2013, 20 patients with 33 tumors met the eligibility criteria and received definitive or salvage helical tomotherapy. The most commonly prescribed dose fractionation schedule was a total dose of 50 Gy with a daily dose of 2.5 Gy. Treatment response, survival, and radiation-induced toxicities were retrospectively reviewed. Results: The median follow-up period after radiotherapy for all patients was 24.9 (range 7.8–79.2) months. Objective responses (complete response or partial response) occurred in 30 of 33 lesions (90.9%). Eight (24.2%) lesions showed local recurrence and the actuarial local control rate at 2 years was 69.5%. Intrahepatic recurrence-free survival and overall survival rates at 2 years were 45.7% and 71.1%, respectively. Age, Child–Pugh class, tumor response, local recurrence status, and intrahepatic recurrence status were significantly associated with overall survival on univariate analysis. Among these parameters, only local recurrence status showed marginal statistical significance on multivariate analysis ( P = 0.068). The overall survival rate at 2 years was 50% for patients who experienced local recurrence, but 87.5% for those who did not. No patient experienced grade 2 or greater general or gastrointestinal toxicity. There were no cases of radiation-induced liver disease. Conclusion: Conventional fractionated helical tomotherapy for patients with less than four small to medium HCCs without portal vein tumor thrombosis yielded favorable local control and overall survival without severe complications.
Sub-6 GHz LNA Using Two-Stage SNIM With Series Interstage Inductor Based on 0.5-μm GaAs E-pHEMT Technology

This study presents a high gain, ultralow noise, sub-6 GHz low noise amplifier (LNA) using 0.5-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> GaAs pseudomorphic high electron mobility transistor (pHEMT) process. It proposed a simultaneous input and noise matching (SNIM) technique using load impedance optimization as an interstage inductor of a two-stage amplifier. The proposed matching technique offers optimal noise performance without the input matching trade-off. The proposed LNA delivers the best noise performance compared to other sub-6 GHz LNAs using the 0.5-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> GaAs pHEMT process. The results show a peak gain of 27.6 dB, and noise figure (NF) of 0.66 dB in the 4.2–5.2 GHz range. The input <inline-formula> <tex-math notation="LaTeX">${\text {P}}_{\text {1 dB}}$ </tex-math></inline-formula> at 5 GHz is 23.5 dBm, and the LNA consumes 45.6 mW of power at a supply voltage of 1.2 V. The chip size is <inline-formula> <tex-math notation="LaTeX">$0.87\times 1.78\,\,{\text {mm}}^{2}$ </tex-math></inline-formula>.
A REVIEW ON AN DRIVER SLEEP DETECTION AND ALARMING SYSTEM

— Road accidents have become more frequent as population is increasing. 20% of traffic accidents, according to research, are the result of drowsy drivers. Drowsiness turns out to be a significant issue for both the driver and other users of the road. Being sleepy turns out to be a serious problem for both the driver and other road users. A safety alarm system called the Motorist Drowsiness System warns the driver whenever he begins to feel sleepy.
association analysis of the Cadherin13 gene with schizophrenia in the Japanese population

Background: Cadherin13 ( CDH13 ) is a glycosylphosphatidylinositol-anchored cell adhesion molecule that plays a crucial role in morphogenesis and the maintenance of neuronal circuitry. CDH13 has been implicated in the susceptibility to a variety of psychiatric diseases. A recent genome-wide association study using Danish samples showed, for the first time, the involvement of a single nucleotide polymorphism (SNP) of CDH13 (intronic SNP rs8057927) in schizophrenia. Here, we investigated the association between other SNPs of CDH13 and schizophrenia and tried to replicate the association for the SNP of rs8057927, in the Japanese population. Methods: Using TaqMan ® SNP genotyping assays, five tag SNPs (rs12925602, rs7193788, rs736719, rs6565051, and rs7204454) in the promoter region of CDH13 were examined for their association with schizophrenia in two independent samples. The first sample comprised 665 patients and 760 controls, and the second sample comprised 677 patients and 667 controls. One tag SNP for rs8057927 was also examined for the association with schizophrenia in the first sample set. Results: A GACAG haplotype of the five SNPs in the promoter region of CDH13 was significantly associated with schizophrenia in the first sample set ( P = 0.016 and corrected P = 0.098). A combined analysis of the GACAG haplotype with the second sample set enhanced the significance ( P = 0.0026 and corrected P = 0.021). We found no association between rs8057927 and schizophrenia in the first sample set. Conclusion: Our results suggest that CDH13 may contribute to the genetic risk of schizophrenia. Further replication on the association of CDH13 with schizophrenia and functional studies are required to confirm the current findings.
Phantom: Exploiting Decoder-detectable Mispredictions

Violating the Von Neumann sequential processing principle at the microarchitectural level is commonplace to reach high performing CPU hardware — violations are safe as long as software executes correctly at the architectural interface. Speculative execution attacks exploit these violations and queue up secret-dependent memory accesses allowed by long speculation windows due to the late detection of these violations in the pipeline. In this paper, we show that recent AMD and Intel CPUs speculate very early in their pipeline, even before they decode the current instruction. This mechanism enables new sources of speculation to be triggered from almost any instruction, enabling a new class of attacks that we refer to as Phantom. Unlike Spectre, Phantom speculation windows are short since the violations are detected early. Nonetheless, Phantom allows for transient fetch and transient decode on all recent x86-based microarchitectures, and transient execution on AMD Zen 1 and 2. We build a number of exploits using these new Phantom primitives and discuss why mitigating them is difficult in practice.CCS CONCEPTS• Security and privacy → Side-channel analysis and countermeasures; Hardware reverse engineering; Information flow control.
UvA-DARE (

Citation for published version (APA): Lagrand, C. , Negrijn, S. , van der Meer, M. , van der Wal, D. , Petrini, L. , Lekanne Deprez, H. , Kronemeijer, P., Rajamanickam, S. K. , Nzuanzu, J., Jelinek, L. , & Visser, A. (2018). Team Qualification Document for RoboCup 2018, Montreal, Canada: Dutch Nao Team. Intelligent Robotics Lab, Universiteit van Amsterdam. http://www.dutchnaoteam. nl/wpcontent/uploads/2018/01/TeamQualificationDocument2018.pdf