Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficiency-tunable terahertz focusing lens based on graphene metasurface

This paper proposes an efficiency-tunable terahertz focusing lens based on the graphene metasurface. The unit cell is composed of two symmetrical circular graphene hollows and an intermediate dielectric layer, wherein the hollow circular middle is connected by a rectangular graphene sheet. This structure can realize polarization conversion, for example, when an incidence with left-hand circular polarization emitted on the metasurface the polarization of the transmitted light is right-hand circular polarization. According to the principle of geometric phase, by rotating the direction of the rectangular bar, the transmitted wave will carry an additional phase and can cover the range of 2π. An THz focusing lens can be realized by properly arranging the unit structure of the graphene metasurface. The simulation results show that the conversion amplitude of circular polarized light can be adjusted by changing the Fermi level of graphene, and the focusing efficiency of the metalens can also be dynamically adjusted. Therefore, this graphene metasurface-based efficiency-tunable focusing lens can be realized by changing the Fermi level without changing the size of the unit cell, and can be widely used in terahertz applications such as energy harvesting and imaging.
Automatic extraction of causal chains from text

Background. Automatic extraction of causal chains is valuable for discovering previously unknown and hidden connections between events. However, there is only a handful of works devoted to automatic extraction of causal chains from text. Objective. To develop a method for automatic extraction of causal chains from text. Method. A new approach based on linguistic templates is suggested for causal chain extraction. It is domain-independent, not restricted to extraction from single sentences and unfolded on big data. For implementation, a sequence of four modules was deployed. These are verb restriction, part-of-speech tagging, extracting causal relations, and unification and matching events. Results. 14,821 causal chains (with length=2) have been extracted from 100,000 English Wikipedia articles. Contributions. The extracted causal chains can contribute to developing commonsense knowledge bases, reasoning resources, problem-solving, and generally in discovering previously unknown relationships between entities/events.
Effects of Extruded and Conventional Sorghum Flour on Postprandial Plasma Amino Acid and Glucose Patterns in Adult Men

Sorghum is a nutrient-rich grain shown to improve growth and alleviate malnutrition in clinical studies; however, starch-protein interactions can limit its protein digestibility. Extrusion can help to improve protein availability from some foods. Three probe feeding studies were conducted to assess amino acid availability from extruded sorghum flour using postprandial plasma amino acid concentrations. For each study, a randomized crossover design with a one-week washout period was used to determine responses in healthy men aged 21-34 yr following intake of either extruded (EX) or conventional (CON) sorghum flour. In probe 1 (P1) and probe 2 (P2), men consumed 34 g (n=2) or 68 g (n=3) of flour, with plasma amino acid concentrations determined every 30 min for 180 min. A third probe (P3) provided 68 g (n=4) of flour, and samples for both plasma amino acids and glucose were collected every 15 min for 90 min. Responses were calculated as both the area-under-the-curve (AUC) and the incremental AUC (iAUC). In all three probes, amino acid responses were similar between the flours. The plasma glucose AUC was significantly greater from EX compared to CON, but the iAUCs between them were not significantly different. In these initial probe trials, a small sample size, along with individual variability in responses may explain the lack of differences in patterns of postprandial amino acids. Additional research on extrusion techniques and response measures is warranted.
Ensemble Strategy Utilizing a Broad Learning System for Indoor Fingerprint Localization

Indoor positioning technology based on Wi-Fi fingerprint recognition has been widely studied owing to the pervasiveness of hardware facilities and the ease of implementation of software technology. However, the similarity-based method is not sufficiently accurate, whereas the offline training of the neural network-based method is overly time consuming. An efficient model with high positioning accuracy is therefore not yet available. We propose a stacking ensemble broad learning localization system using channel state information as a fingerprint, which is termed EnsemLoca. A bootstrapping method is used to build the training set, which enables the EnsemLoca system to build the base learner in parallel by using bagging. The broad learning system (BLS), which is a novel neural network model, as a base learner, not only has the advantage of time complexity but also offers a sparse representation in which the features are filtered. A unique base learner is constructed by randomly selecting the samples and features, and they are combined by stack generalization. The experimental results show that the EnsemLoca system achieves higher accuracy than several machine-learning algorithms in both line-of-sight (LOS) and non-LOS environments, and is even stronger than deep neural networks characterized by accuracy. At the same time, it has the same theoretical complexity as BLS, which greatly reduces the offline training time.
Optimization of the Pre-treatment Method for the Determination of 9 Organophosphorus Pesticide Residues in Cabbage by Gas Chromatography

The purpose of this study was to optimize the pre-treatment process for the detection of 9 organophosphorus pesticide residues in cabbage by gas chromatography, and to conduct a comparative experiment between this method and the standard method NY/T 761-2008 of the Ministry of Agriculture. The results show that the optimized pre-treatment method is to use 10 mL acetonitrile as the extractant, 150 mg N-propyl ethylenediamine (PSA) and 15 mg graphitized carbon black (GCB) as the purification agent, which can reduce the use of extractant and inorganic salt in the pre-treatment process, increase the recovery and detection limit, reduce the matrix effect and cost of instrument maintenance.
INTERNET AND COVID-19 PANDEMIC RESPONSE STRATEGIES IN VIETNAM

Vietnam is one of the few countries in the world to effectively control the Sars – Cov - 2 epidemic despite being a neighboring country of China - the first place where the Sars – Cov - 2 epidemic broke out in the world. As of June 10, 2020, the total number of Sars – Cov - 2 infections in Vietnam was 332, with no deaths; From April 16, 2020 to June 10, 2020, 54 days in Vietnam have no cases of infection in the community. This study was conducted to recognize the role of the Internet in supporting Vietnamese families in the Sars – Cov - 2 pandemic, in the context of the government implementing thorough social isolation to control the disease. The main research method used is the method of analyzing documents on the Sars – Cov - 2 coping policy of the Vietnamese government combined with in-depth interviews with parents in families. The research results show that the relevance of the Government of Vietnam policy to respond to the Sars – Cov - 2 pandemic and the supportive role of the Internet for families is very positive.
Roles of Innovation Leadership on Using Big Data Analytics to Establish Resilient Healthcare Supply Chains to Combat the COVID-19 Pandemic: A Multimethodological Study

This article empirically examines the effect of big data analytics (BDA) on healthcare supply chain (HSC) innovation, supply chain responsiveness, and supply chain resilience under the moderating effect of innovation leadership in the context of the COVID-19 pandemic. The scanning interpretation–action–performance model and organization information processing theory are used to explain BDA, HSC innovation, responsiveness, and resilience relationships. First, the hypotheses were tested using data collected from 190 experienced respondents working in the healthcare industry. Our structural equation modeling analysis using the partial least squares (PLS) method revealed that BDA capabilities play a pivotal role in building a responsive HSC and improving innovation, which has contributed to resilience during the current pandemic situation. High innovation leadership strengthens the effect of BDA capabilities on HSC innovation. High innovation leadership also increases the effect of BDA capabilities on responsiveness. Second, we validated and supplemented the empirical research findings using inputs collected in 30 semistructured qualitative questionnaires. Our article makes a unique contribution from the perspective of innovation leaderships. In particular, we argue that the role of innovative leadership in the COVID-19 pandemic situation is critical as it indirectly affects HSC resilience when BDA is in place.
The study of a phase difference defect inspection technology

In this paper, we present results of long-term stability tests of a low-loss (<0.55 dB) hollow core fiber (HCF) to standard optical fiber interconnection prepared by modified gluing-based fiber-array technology. We measured insertion loss of three interconnected HCF samples over a period of 100 days at room temperature, observing a variation in insertion loss of less than 0.02 dB. Subsequently, we placed the HCF samples in a climatic chamber and heated to +85◦C in four cycles. Maximum insertion loss variation of 0.10 dB was observed for HCF samples with angled 8◦ interconnections and only 0.02 dB for a HCF sample with a flat interconnection.
RoboCat: A Category Theoretic Framework for Robotic Interoperability Using Goal-Oriented Programming

RobotCat uses a goal-oriented, declarative approach for robot programming that leverages mathematical representations found in category theory as a way to formally model modularity and behavioral knowledge. We define hierarchical interfaces that require only local modifications when new software or work cell models are introduced, thus making robot programming more interoperable. Note to Practitioners—RoboCat can be put into practice and be beneficial to different stakeholders: 1) a student (or small, individual manufacturer) is in charge of planning the production of a new product. Instead of tedious programming, she sketches out process diagrams using conceptual templates for actions (e.g., “move,” “carry,” “locate”) that can produce vastly more resilient production plans than would normally be expected from someone without many years of experience; 2) a robot platform manufacturer has a new manipulator that they would like to provide to the existing customers. Usually, such an upgrade requires a complex retooling of the fabrication lines to accommodate the new functionality. Further complicating matters, the new manipulator contains third-party hardware and software, requiring a full re-architecting of the integrated system. Rather than a wholesale swap of the old system for the new, the third-party application programming interfaces (APIs) can be systematically translated to fit snuggly within the existing modular system with seamless interoperability; and 3) a company is designing the production process associated with their new product launch and they wish to spread their supply chain across several manufacturing vendors. Rather than writing individual process plans customized for each manufacturer, they compose a high-level plan in a functional language. This plan is compiled into implementations specific to each manufacturer’s systems, without the need for human intervention.
From Space to Mental Space: A Cognitive Perspective into Narrative and the Architecture of the Human Mind

Spatial metaphors are pervasive across models and theories about the structure and the meaning-making processes of the human mind: metaphorical and metonymic mappings (Lakoff and Johnson 1980, Barcelona 2012), mental spaces (Fauconnier 1994, 1997) or semantic domains (Fauconnier and Sweetser 1996, Brandt 2004) are examples of this spatial ubiquity in cognitive science. In narratology, categories of location and place are often correlated with narrative spaces as expression of a dynamics of unfolding of events, from initial situation to catastrophe to its consequence and result (Brandt 2009). Narrative as such is viewed as a compelling way of worldmaking (Nunning 2010, Goodman 1975), inviting further metaphors in the description of the reading experience, such as ‘being transported’ by means of ‘mentally performing’ narrated actions and experiences (Gerrig 2003).
The Impact of Market Orientation on Organisational Performance: A Study of Small and Medium Scale Hotels in Tourism Industry in Southern Province, Sri Lanka

This research aimed to identify the impact of market orientation on organisational performance in small and medium scale tourist hotels in Southern province, Sri Lanka. This study used a structured questionnaire to collect data and partial least squares path modelling (PLS) to analyse the collected data. Hypothesis on inter-functional coordination and organisational performance was not statistically significant, whereas three hypotheses on customer orientation, competitor orientation, and social benefit orientation were statistically significant. All four hypotheses were indicated a positive impact on organisational performance. It thereby added to the existing body of literature and provided several insights for managers in the hotel industry and hospitality services. Since this field of inquiry is relatively new, it also offers numerous alternatives for further studies.
CÚRCUMA E SUAS PROPRIEDADES FUNCIONAIS: UMA REVISÃO INTEGRATIVA

Objective: to investigate the properties of turmeric and how they can act for the benefi t of health. Methods: integrative review through scientifi c articles indexed in SciELO, Virtual Library in Human Health and PubMed and published in the last 09 years (2012 to 2020), after certain selection criteria. Results: the analyzed studies showed the importance of turmeric consumption, even if preventively, because it acts as an excellent antioxidant and anti-infl ammatory by fi ghting free radicals, which are causing infl ammation. Conclusion: the results indicate benefi ts of turmeric consumption as an agent for reducing possible risk factors for diseases, as well as its control. However, there is a need for further studies conducted in humans, and it is also essential to know the ideal amount that works with a greater power of action in the body.
Inositol-1,4,5-Trisphosphate Receptor-1 and -3 and Ryanodine Receptor-3 May Increase Ooplasmic Ca2+ During Quail Egg Activation

We previously reported that egg activation in Japanese quail is driven by two distinct types of intracellular Ca2+ ([Ca2+]i): transient elevations in [Ca2+]i induced by phospholipase Czeta 1 (PLCZ1) and long-lasting spiral-like Ca2+ oscillations by citrate synthase (CS) and aconitate hydratase 2 (ACO2). Although the blockade of inositol 1,4,5-trisphosphate receptors (ITPRs) before microinjections of PLCZ1, CS, and ACO2 cRNAs only prevented transient increases in [Ca2+]i, a microinjection of an agonist of ryanodine receptors (RYRs) induced spiral-like Ca2+ oscillations, indicating the involvement of both ITPRs and RYRs in these events. In this study, we investigated the isoforms of ITPRs and RYRs responsible for the expression of the two types of [Ca2+]i increases. RT-PCR and western blot analyses revealed that ITPR1, ITPR3, and RYR3 were expressed in ovulated eggs. These proteins were degraded 3 h after the microinjection of PLCZ1, CS, and ACO2 cRNAs, which is the time at which egg activation was complete. However, degradation of ITPR1 and ITPR3, but not RYR3, was initiated 30 min after a single injection of PLCZ1 cRNA, corresponding to the time of the initial Ca2+ wave termination. In contrast, RYR3 degradation was observed 3 h after the microinjection of CS and ACO2 cRNAs. These results indicate that ITPRs and RYR3 differentially mediate in creases in [Ca2+]i during egg activation in Japanese quail, and that downregulation of ITPRs and RYR3-mediated events terminate the initial Ca2+ wave and spiral-like Ca2+ oscillations, respectively.
Strong genetic differentiation of the Paracaryum species (Boraginaceae) detected by inter-simple sequence repeats (ISSR)

Species identification is fundamentally important within the fields of biology, biogeography, ecology and conservation. The genus Paracaryum belongs to tribe Cynoglosseae of the family Boraginaceae is a herbaceous genus including approximately 67 species, mostly distributed in the Irano-Turanian phytogeographical region. In spite vast distribution of many Paracaryum species that grow in different habitats, there are not any available report on their genetic diversity, mode of divergence and patterns of dispersal. Therefore, we performed molecular (ISSR markers) of 98 accessions from 12 species of Paracaryum that were collected from different habitats. A set of 10 ISSR markers was used. The genetic distances were estimated based on Jaccard similarity coefficient and the descriptive statistics of populations for estimation of genetic parameters were also performed. A total of 90 polymorphic bands were obtained. The present study revealed that ISSR data can delimit the species. AMOVA and STRUCTURE analysis revealed that the species of Paracaryum belongs are genetically differentiated but have some degree of shared common alleles.
Regional gap in human capital: determinants of education and urbanization

This paper studies the regional gap in human capital. Specifically, it focuses on the important determinants of this capital represented by such key factors as education and urbanization. We stress the importance of human capital for the economic growth and show how it can be important for the effective development of both urban and rural areas. This study examines the regional distribution and dynamics of human capital. Human capital is credited with a crucial role in the creation of economic growth. Additionally, we investigate how the exposure to the urban or rural environment affects the educational success of people worldwide. In addition, our paper studies the effects of migration on urbanization and education. Our results show that institutional factors can be a good proxy for explaining the relationship between human capital development and urbanization. Furthermore, it can be concluded that return to education is higher in urban areas compared to rural areas, and higher in highly educated cities compared to smaller towns. All of these creates some important implications for urbanization and education that can be used by the policy-makers and urban and rural planners for narrowing the regional gap in human capital and increasing the overall well-being and economic growth.
Wellbeing Resources and Mass Participation Sports Events in Pembrokeshire

Mass participation sport events (MPSEs) have grown in popularity. Specifically, in Pembrokeshire, West Wales, participation has seen a continued increase in athlete numbers and events over the last decade. Moreover, extremely high numbers of Pembrokeshire residents are participating in MPSEs. Current research provides a narrow demonstration of the role of MPSEs in supporting health and wellbeing. A qualitative approach was used as contrast to most methodology in the literature to better understand the embodied experiences of individuals taking part in MPSEs. This article draws on interview data from within a larger study to explore the emerging theme of wellbeing. Eighteen individuals, twelve females and six males, aged between 34 and 58 took part in the research. Findings show that firstly, exercise in several MPSE contexts strengthen psychological resources. Secondly, connections made in MPSEs provide social resources and, finally, nature and the physical environment act as a physical resource. In conclusion, many MPSE contexts, from 5k parkrun to long distance events, provide an opportunity for people in society to develop resources to support wellbeing. Further analysis is ongoing to fully explore the contribution that MPSE make to the wellbeing of athletes and the wider community.
Clinical features of extrahepatic recurrence after curative hepatectomy for hepatocellular carcinoma: simple parameters predicting extrahepatic recurrence

Background Extrahepatic recurrence (EHR) after curative hepatectomy for hepatocellular carcinoma (HCC) is associated with a poor prognosis. We investigated the features of EHR and identified its predictive factors. Methods This retrospective study included 398 treatment-naive patients who underwent curative hepatectomy for HCC at two tertiary hospitals. Multivariate analysis via Cox-regression was performed to identify the variables associated with EHR. Results EHR was diagnosed in 94 patients (23.6%) over a median follow-up period of 5.92 years, most commonly in the lungs (42.6%). The 5-/10-year cumulative rates of HCC recurrence and EHR were 63.0%/75.6% and 18.1%/35.0%, respectively. The median time to EHR was 2.06 years. Intrahepatic HCC recurrence was not observed in 38.3% of patients on EHR diagnosis. On multivariate analysis, bile duct invasion, tumor necrosis, sum of tumor size > 7 cm, macrovascular invasion, first recurrence free survival < 1 year, and serum alpha fetoprotein > 400 IU/mL during recurrence were predictive of EHR. Four risk levels and their respective EHR were defined: very low risk, 2-/5-year, 0.7%/14.2%; low risk, 2-/5-year, 6.4%/31.0%; intermediate risk, 2-/5-year, 21.9%/73.1%; and high risk, 2-/3-year, 70.8%/100.0%. Conclusion Our predictive model clarifies the clinical course of EHR and could improve the follow-up strategy to improve outcomes.
Design Improvements on Fast, High-Order, Incremental Sigma-Delta ADCs for Low-Noise Stacked CMOS Image Sensors

Modern CMOS imaging devices are present everywhere, in the form of line, area and depth scanners. These image devices can be used in the automotive field, in industrial applications, in the consumer’s market, and in various medical and scientific areas. Particularly in industrial and scientific applications, the low-light noise performance or the high dynamic-range features are often the cases of interest, combined with low power dissipation and high frame rates. In this sense, the noise floor performance and the power consumption are the focus of this work, given that both are interlinked and play a direct role in the remaining sensor features. It is known that thermal and flicker noise sources are the main contributors to the degradation of the sensor performance, concerning the sensor output image noise. This paper presents an indirect way to reduce both the thermal and the flicker noise contributions by using thin-oxide low voltage supply column readout circuits and fast 3rd order incremental sigma-delta converters with noise shaping capabilities (to provide low noise output digital samples—74 μVrms; 0.7 e−rms; at 105 μV/e−), and thus performing correlated double sampling in a short time (19 μs), while dissipating significant low power (346 μW). Throughout the extensive parametric transistor-level simulations, the readout path produced 1.2% non-linearity, with a competitive saturation capacity (6.5 ke−) pixel. In addition, this paper addresses the readout parallelism as the main point of interest, decoupling resolution from the image noise and the frame rate, at virtually any array resolution. The design and simulations were performed with Virtuoso 6.17 tools (Cadence Design Systems, San Jose, CA, USA) using Spectre models from TS18IS Image Sensor 0.18 µm Process Development Kit (Tower Jazz Semiconductor, Migdal Haemek, Israel).