Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Fish Oil in Prevention of Cardiovascular Diseases: A Systematic Review

WONG ET AL.: Role of Fish Oil in Prevention of Cardiovascular Diseases: A Systematic Review. Epidemiological studies have shown that fish oil intake has cardioprotective effects. These benefits are ascribed to the active ingredients of fish oil, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Experimental and clinical studies have demonstrated that EPA and DHA exhibit their cardioprotective mechanisms via anti-arrhythmic, anti-atherogenic, anti-thrombotic and vasoprotective effects. In clinical trials, the clinical benefit of fish oil intake appears to be more prominent on secondary prevention than primary prevention. Furthermore, the triglyceride-lowering property of fish oil may be more beneficial for primary prevention in certain high risk patients, such as patients with Type II diabetes mellitus and metabolic syndrome. Nevertheless, fish oil has also been shown to be associated with worsening of glycaemic control, and increasing in plasma low-density lipoprotein cholesterol level. Therefore, whether fish oil supplement has cardioprotective effects in different selected subgroups of high risk subjects remain unclear, and further randomized controlled trials are required. (J HK Coll Cardiol 2007;15:1-11)
Direct torque control of permanent magnet synchronous motor (PMSM) using space vector modulation (DTC-SVM)-simulation and experimental results

This paper presents digital signal processor (DSP) based direct torque control scheme using space vector modulation (DTC-SVM) for permanent magnet synchronous motor (PMSM) drives. The analysis of PMSM shows that the increase of electromagnetic torque is proportional to the increase of the angle between the stator and rotor flux linkages and therefore fast torque response can be obtained by increasing the rotating speed of the stator flux linkage as fast as possible. The presented control strategy DTC-SVM is implemented in software of the DS1103 board. Simulations and experimental results demonstrate the effectiveness of the proposed control scheme. Also comparison with conventional DTC scheme and results of speed control loop are given.
Effects of Bovine Pichia kudriavzevii T7, Candida glabrata B14, and Lactobacillus plantarum Y9 on Milk Production, Quality and Digestive Tract Microbiome in Dairy Cows

Microbial administration has been used successfully to improve host health. However, the positive effects of endogenous microbials are still underexplored. This study investigated the effects of bovine Lactic acid bacteria and yeast on the milk production, quality and digestive tract microbiome of dairy cows. Lactobacillus plantarum Y9, Pichia kudriavzevii T7 and Candida glabrata B14 isolated from high-yielding dairy cows were selected to feed low-yielding Holstein cows. Pichia kudriavzevii T7 could significantly increase milk yield, meanwhile, Pichia kudriavzevii T7 and Candida glabrata B14 could obviously reduce the number of somatic cell counts (SCC). However, slight differences were found in milk fat, protein, lactose and SNF (solids not fat) percentage. High throughput sequencing showed that the dominant bacteria were Prevotella and Ruminococcaceae in rumen and feces, respectively, and the dominant fungi were Penicillium, Aspergillus and Trichoderma in both samples, before and after feeding the microbial addition. Nonetheless, microbial addition changed the abundance and structure of the microbiome in the digestive tract. Our data showed bovine yeast and LAB were beneficial for improving performance and regulating the microbial structure of dairy cows. This study was expected to enrich the knowledge of the digestive tract microbiome in dairy cows and provide a feasible strategy for the further utilization of bovine microorganisms.
Child-Friendly Environments—What, How and by Whom?

The socio-physical qualities of built environments are, in several ways, of imperative importance for children growing up. The Child-Friendly Cities initiative by UNICEF, an implementation of the UN Convention on the Rights of the Child, has made local governments strive toward child-friendliness. The participation of children and young people is often the focus of such projects, with a potential for a far broader scope. Besides participation processes, what important socio-physical qualities make environments child-friendly, and how can they be developed? This paper presents a structured literature review of the concept of child-friendly environments, in order to address the full socio-physical spectrum. The results focus on concrete factors that have been filtered through child-friendliness and the associated frameworks, showing an inherent dependence between the social context and the physical environment. The shaping of child-friendliness hinges on the realization of environments that are safe, fair, and with accessible and variable green and open spaces. A multi-stakeholder endeavor including, e.g., planners, designers, and managers requires clearly outlined priorities. This study lays the groundwork for further exploration of how the concept of child-friendly environments can lead to positive changes, also as part of the overall strive toward sustainable development.
Passive loop coordinates optimization for mitigation of magnetic field value in the proximity of a power line

The paper relates to the distribution of the magnetic field generated by the overhead power line, and it’s reduction in the area of interest using a conductive loop placed in the space near the line. The paper presents results obtained from an original program written in C ++, which implements the procedure for calculating the magnetic field generated by overhead line and a genetic algorithm used to optimize the location and loop compensation factor. Examples of the program are presented for horizontal single-track line and three different shielding loop configurations. The first relates to a single loop (4 to 5 parameters to optimize - 4 position coordinates (y, z) and the compensation factor), the second case involves two loops with one common conductor (6 to 8 parameters - 6 coordinates (y, z) and 0 to 2 compensation factors), the third case concerns two independent loops (8 to 10 parameters - 8 coordinates (y, z) and 0 to 2 of the compensation factors). In addition similar calculations are performed for single-track line with two earth wires.
A Comprehensive Assessment of Cardiomyopathies through Cardiovascular Magnetic Resonance: Focus on the Pediatric Population

Cardiomyopathies (CMPs) are a heterogeneous group of diseases that involve the myocardium and result in systolic or diastolic impairment of the cardiac muscle, potentially leading to heart failure, malignant arrhythmias, or sudden cardiac death. Occurrence in pediatric age is rare but has been associated with worse outcomes. Non-invasive cardiac imaging techniques, integrated with clinical, genetic, and electrocardiographic data, have shown a pivotal role in the clinical work-up of such diseases by defining structural alterations and assessing potential complications. Above all modalities, cardiovascular magnetic resonance (CMR) has emerged as a powerful tool complementary to echocardiography to confirm diagnosis, provide prognostic information and guide therapeutic strategies secondary to its high spatial and temporal resolution, lack of ionizing radiation, and good reproducibility. Moreover, CMR can provide in vivo tissue characterization of the myocardial tissue aiding the identification of structural pathologic changes such as replacement or diffuse fibrosis, which are predictors of worse outcomes. Large prospective randomized studies are needed for further validation of CMR in the context of childhood CMPs. This review aims to highlight the role of advanced imaging with CMR in CMPs with particular reference to the dilated, hypertrophic and non-compacted phenotypes, which are more commonly seen in children.
Explaining a Deep Learning Based Breast Ultrasound Image Classifier with Saliency Maps

Abstract Aim of the study Deep neural networks have achieved good performance in breast mass classification in ultrasound imaging. However, their usage in clinical practice is still limited due to the lack of explainability of decisions conducted by the networks. In this study, to address the explainability problem, we generated saliency maps indicating ultrasound image regions important for the network’s classification decisions. Material and methods Ultrasound images were collected from 272 breast masses, including 123 malignant and 149 benign. Transfer learning was applied to develop a deep network for breast mass classification. Next, the class activation mapping technique was used to generate saliency maps for each image. Breast mass images were divided into three regions: the breast mass region, the peritumoral region surrounding the breast mass, and the region below the breast mass. The pointing game metric was used to quantitatively assess the overlap between the saliency maps and the three selected US image regions. Results Deep learning classifier achieved the area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity of 0.887, 0.835, 0.801, and 0.868, respectively. In the case of the correctly classified test US images, analysis of the saliency maps revealed that the decisions of the network could be associated with the three selected regions in 71% of cases. Conclusions Our study is an important step toward better understanding of deep learning models developed for breast mass diagnosis. We demonstrated that the decisions made by the network can be related to the appearance of certain tissue regions in breast mass US images.
Based on FS-GDI Approach with 65 nm Technology: Low Power ALU Design

ABSTRACT This paper presents an area/power efficient design for the Arithmetic Logic Unit (ALU) utilising the FS-GDI approach. The presented ALU is designed in 45 nm, 65 nm and 130 nm node using Cadence Virtuoso simulator. Various ALUI/ALUII designs are presented with different data words. The result of ALUI proves its superiority compared with the traditional CMOS-based design in terms of power consumption, propagation delay and transistor count. The energy of the proposed 4-bit ALU reduced by 32% compared to CMOS based. Scalability of the proposed ALUI and ALUII designs are tested by extending length of the processed bits to 32-bits, through testing the performance of 8-bit, 16-bit, 32-bit ALUs based on the proposed ALUI and ALUII design. It is seen that the energy of the 4-bit ALU reduced by 21.2%, the power efficiency of the DSP and image processing circuits can be improved utilising the proposed designs of the ALUs. The experiment clears the superiority of the proposed ALU units and its suitability for long data words.
Changing Interactions to Reduce Energy Consumption: from Activity Analysis to the Specification of a Context-Aware System

To reduce energy consumption, two principal options have been used to date: energy consumption displays and campaigns to raise awareness among consumers. This article presents a third direction that merits inve stigation: the development of context-aware systems. Reducing energy consumption is considered here as a question of how to design sustainable human-environment interactions and, more specifically, sustainable situations. To devel op context-aware systems that can easily be appropriat ed and thus potentially “invisible,” we believe it is esse ntial to articulate choices about architecture and interacti on with models of real-life individual-collective activitie s through habitat analysis. We illustrate this perspective by presenting a case based on the elaboration of concrete specifi cations. Notably, we deal with the gradual transition from a human activity model to a system model through the use of intermediate objects. Author Keywords Context-aware computing; user-centered design; sustainability; ambient computing; interaction desi gn.
Lethal Mutagenesis of RNA Viruses and Approved Drugs with Antiviral Mutagenic Activity

In RNA viruses, a small increase in their mutation rates can be sufficient to exceed their threshold of viability. Lethal mutagenesis is a therapeutic strategy based on the use of mutagens, driving viral populations to extinction. Extinction catastrophe can be experimentally induced by promutagenic nucleosides in cell culture models. The loss of HIV infectivity has been observed after passage in 5-hydroxydeoxycytidine or 5,6-dihydro-5-aza-2′-deoxycytidine while producing a two-fold increase in the viral mutation frequency. Among approved nucleoside analogs, experiments with polioviruses and other RNA viruses suggested that ribavirin can be mutagenic, although its mechanism of action is not clear. Favipiravir and molnupiravir exert an antiviral effect through lethal mutagenesis. Both drugs are broad-spectrum antiviral agents active against RNA viruses. Favipiravir incorporates into viral RNA, affecting the G→A and C→U transition rates. Molnupiravir (a prodrug of β-d-N4-hydroxycytidine) has been recently approved for the treatment of SARS-CoV-2 infection. Its triphosphate derivative can be incorporated into viral RNA and extended by the coronavirus RNA polymerase. Incorrect base pairing and inefficient extension by the polymerase promote mutagenesis by increasing the G→A and C→U transition frequencies. Despite having remarkable antiviral action and resilience to drug resistance, carcinogenic risks and genotoxicity are important concerns limiting their extended use in antiviral therapy.
Assessing Seagrass Restoration Actions through a Micro-Bathymetry Survey Approach (Italy, Mediterranean Sea)

Underwater photogrammetry provides a means of generating high-resolution products such as dense point clouds, 3D models, and orthomosaics with centimetric scale resolutions. Underwater photogrammetric models can be used to monitor the growth and expansion of benthic communities, including the assessment of the conservation status of seagrass beds and their change over time (time lapse micro-bathymetry) with OBIA classifications (Object-Based Image Analysis). However, one of the most complex aspects of underwater photogrammetry is the accuracy of the 3D models for both the horizontal and vertical components used to estimate the surfaces and volumes of biomass. In this study, a photogrammetry-based micro-bathymetry approach was applied to monitor Posidonia oceanica restoration actions. A procedure for rectifying both the horizontal and vertical elevation data was developed using soundings from high-resolution multibeam bathymetry. Furthermore, a 3D trilateration technique was also tested to collect Ground Control Points (GCPs) together with reference scale bars, both used to estimate the accuracy of the models and orthomosaics. The root mean square error (RMSE) value obtained for the horizontal planimetric measurements was 0.05 m, while the RMSE value for the depth was 0.11 m. Underwater photogrammetry, if properly applied, can provide very high-resolution and accurate models for monitoring seagrass restoration actions for ecological recovery and can be useful for other research purposes in geological and environmental monitoring.
A Design of Peak to Average Power Ratio Based SWIPT System in 180 nm CMOS Process for IoT Sensor Applications

In this paper, we propose a peak-to-average-ratio (PAPR) based simultaneous wireless information and power transfer (SWIPT) system for Internet-of-Things (IoT) sensor applications. Conventional SWIPT system is based on power-hungry transmitter and receiver modules. The presence of such blocks directly impact the power consumption in IoT devices. This problem can be solved by proposing an ultra-low-power communication mechanism. Recently SWIPT with multi-tone is under consideration because of its increased power conversion efficiency (PCE). We proposed a PAPR based SWIPT receiver that utilizes the multi-tone waveform for information decoding in SWIPT system. An adaptive power splitter (APS) smartly regulates the distribution of received radio frequency (RF) signals between the energy harvesting (EH) path and the information decoding (ID) path. A digital controller was designed to control the demodulation of the PAPR based modulated signal and retrieves the digital information. Back-scattering modulation has been opted for up-link data transfer. For the EH path we design an RF-DC converter with an adaptive matching to increase the dynamic range of input power. The propose SWIPT system based on the PAPR demodulator is implemented on the 180 nm CMOS process. The digital clock frequency at the SWIPT receiver is 64 kHz, which can provide a data rate of 8 kbps with power consumption of $7.3~\mu \text{W}$ with area utilization of 0.4 mm2.
Pemetaan riset teori agensi: Bibliometrik analisis berbasis data Scopus

Agency theory provides a direction regarding agency in organizations. The emergence of this theory provides meaningful guidance in an organization in overcoming agency problems that occur due to conflicts of interest between principles and agents. Agency theory is an old theory in accounting and financial management, but its existence is very much needed today. This article aims to present the existence and development of the application of agency theory in various types of research, as well as to prove the strength of this theory based on support from various documents. This research was conducted by adopting a bibliometric analysis based on the Scopus database. Based on the keywords used, namely related to agency theory, this study succeeded in obtaining 564 documents for further analysis. This study reports the results using standard bibliometric indicators such as year of publication, document type, source type, source title, subject language, keyword analysis, article author, and active institution. Based on our findings, the existence of research that adopts agency theory is still highly recognized with evidence of an increasing trend of growth every year since our observation period, namely from 2013-2020, but there has been a slight decline in 2021. Research that adopts agency theory has now penetrated into various fields such as engineering, psychology, and so forth.
The Impact of IoT on the Performance of Vaccine Supply Chain Distribution in the COVID-19 Context

The Government of India has started the distribution of the Covishield and Covaxin vaccines across all the comprising states. In developing states like Bihar, the vaccine supply chain (VSC) is likely to face many challenges due to poor health infrastructure, multidimensional poverty, and poor literacy. Supply chain practitioners are experimenting with available technologies to deal with supply, demand, and behavioral challenges. The present research work seeks to inspect the potential impact of Internet of Things (IoT) on the performance of the VSC. This study draws literature on the impact of IoT on product management, demand management, supply management, social behavior, and government rules and regulations to develop and test the conceptual model in Bihar. Consequently, the study administrated a survey and used structural equation modeling to investigate the proposed hypothesis. The analysis illustrates the positive influence of IoT adoption on the performance of the VSC in distributing the COVID vaccine. The finding also shows the positive relationship between product, supply, demand, and social behavior in IoT adoption. Analysis displays that Indian politicians can substantially impact vaccine distribution because they have influence and awareness of their local districts. This research work has a significant theoretical and managerial contribution for government and practitioners, supporting regulatory officials and policymakers in improving vaccine distribution.
How Web Content Types Improve Consumer Engagement through Scarcity and Interactivity of Mobile Commerce?

The emergence of various web contents gives customers influence according to characteristics. The characteristics of the content can distinguish the three types of commerce: branded content-type commerce, review content-type commerce, and home shopping content-type commerce. The purpose of this study is to identify the difference between customer engagement and reuse intention according to the three types of content characteristics. To identify the research questions, we conducted experiment and survey for three different commerce types. Randomized participants were exposed to different three web contents. Analysis of variance (ANOVA) was applied to compare three groups on average to analyze the differences between those groups. After testing the manipulation of experiment, structural equation modeling for various antecedents was performed. Interaction had a positive effect on engagement, as we prove within the paper. Content information had a positive impact on engagement, as you can see within the research. The effect of attention on engagement was confirmed as positive. Results of analysis proved our hypotheses; thus, scarcity of time had a positive effect on engagement and scarcity of quantity had a positive effect on engagement, as we prove within the paper. Ubiquity has a positive effect on engagement. System quality positively affects engagement. Ease of use has a positive effect on engagement. Consumer engagement had a positive effect on reuse intention. Finally, there are differences among the three kinds of mobile commerce as a conclusion within the findings.
Genetic Dissection of Heat Stress Tolerance in Faba Bean (Vicia faba L.) Using GWAS

Heat waves are expected to become more frequent and intense, which will impact faba bean cultivation globally. Conventional breeding methods are effective but take considerable time to achieve breeding goals, and, therefore, the identification of molecular markers associated with key genes controlling heat tolerance can facilitate and accelerate efficient variety development. We phenotyped 134 accessions in six open field experiments during summer seasons at Terbol, Lebanon, at Hudeiba, Sudan, and at Central Ferry, WA, USA from 2015 to 2018. These accessions were genotyped using genotyping by sequencing (GBS), and 10,794 high quality single nucleotide polymorphisms (SNPs) were discovered. These accessions were clustered in one diverse large group, although several discrete groups may exist surrounding it. Fifteen lines belonging to different botanical groups were identified as tolerant to heat. SNPs associated with heat tolerance using single-trait (ST) and multi-trait (MT) genome-wide association studies (GWASs) showed 9 and 11 significant associations, respectively. Through the annotation of the discovered significant SNPs, we found that SNPs from transcription factor helix–loop–helix bHLH143-like S-adenosylmethionine carrier, putative pentatricopeptide repeat-containing protein At5g08310, protein NLP8-like, and photosystem II reaction center PSB28 proteins are associated with heat tolerance.