Miracle-dz/UniFAR-FTUs huggingface dataset:
Management of hemophagocytic lymphohistiocytosis in pregnancy

Background: The diagnosis of hemophagocytic lymphohistiocytosis (HLH) in pregnancy is challenging due to its rarity. There is currently no consensus on the treatment of HLH during pregnancy. We aim to analyze and summarize the clinical characteristics of HLH in pregnancy, and to discuss effective diagnostic and treatment options.Methods: Thirteen patients with HLH during pregnancy who were diagnosed and treated at the Peking Union Medical College Hospital of the Chinese Academy of Medical Sciences from January 2000 to December 2019 were studied retrospectively. We collected data on treatment regimens and on maternal and pregnancy outcomes.Results: All patients had a singleton pregnancy, with a median age of 28 years (range, 22–33 years) and a median gestational age of 23 weeks (7–36 weeks). There were underlying associated diagnoses in six patients; of the patients, 12 (92.3%, 12/13) were treated with corticosteroids, and a good efficiency was achieved in 5 (41.7%, 5/12) of them. Two patients who were treated with dexamethasone and etoposide after termination of pregnancy achieved CR. Two patients attained remission after termination of pregnancy. Four pregnant women died, and the mortality rate was 30.77% (4/13). Fetal or neonatal death up to 1 week after delivery occurred in eight (61.54%) pregnancies, and there were four cases of miscarriage, two of stillbirth, and two of neonatal death. Complications included premature birth (57.14% of neonates), small for gestational age (SGA, 7.70%), premature rupture of membranes (15.38%), and fetal stress (15.38%). Conclusion: Early diagnosis and treatment are important for maternal survival, and corticosteroids are the first choice for most patients with HLH during pregnancy. For patients who do not respond to corticosteroids, etoposide, and termination of pregnancy may be life- saving.
Does having a hunter identity influence land management behaviors of family forest owners?

ABSTRACT Hunters are often assumed to possess conservation and stewardship values. Research on whether these values translate into active land management is scant and inconclusive, particularly as it relates to family forest landowners (FFOs). We examined how strength of deer hunter identity is associated with land management behaviors and intentions of FFOs in Wisconsin. While identity as a construct has been found to inform behavior, the relationship between hunter identity and land management behaviors has not been examined. We found higher average hunter identity scores were associated with respondents who had cut trees for personal use, planted native seeds, developed/maintained trails or roads, have a management plan, participated in state landowner programs, and those with intentions to cut trees for sale, personal use, or to improve forest conditions; remove built-up plant material; conduct trail or road work; and jointly plan with others to enhance habitat for game species or motorized recreation.
Architecture-Dependent Stabilization of Polyelectrolyte Complexes between Polyanions and Cationic Triblock Terpolymer Micelles

We investigate the complexation of poly(styrenesulfonate) with micelles containing both cationic and hydrophilic blocks in their coronas. Five distinct micelles were prepared by self-assembly, using D+S, OS, OD+S, D+OS, and mixtures of D+S and OS block polymers, where the hydrophobic S blocks (poly(styrene)) form the micelle cores and the cationic D+ blocks (poly(dimethylaminoethyl methacrylate)) and hydrophilic, nonionic O blocks (poly(oligo(ethylene glycol) methyl ether methacrylate)) form the coronas. Turbidimetric titration and dynamic light scattering measurements on complexes with short poly(styrenesulfonate) chains (M ≈ 1 kg/mol) that can equilibrate quickly reveal that the intrinsic colloidal stability of the complexes is determined by the identity of the outermost block of the micelle corona and that architectures with a nonionic solvating outer block promote the formation of soluble single-micelle complexes even when the complexes are fully neutralized. Although complexes with longer poly(styren.
Nature Republic dan Innisfree Sebagai Soft Power Brand Ambasador and Personality Korea Selatan di Indonesia

Brand Ambassador is an instrument of achieving the interests of the state which is popularly used South Korea as one example of countries that use their Brand Using (Hallyu) as the mediums to get achieved success in Indonesia. in 2002, Indonesia began to look at South Korea by showing Korean drama with the introduction of Korean drama in Indonesia through private television. The reason for the development of Korean pop culture (Korean Wave) in Indonesia is the embodiment of globalization. In the communication and cultural dimensions, South Korea is increasingly recognized by the Indonesian public drama that aired in Indonesia became the gateway for the entry of other Korean cultural products or known by the name Hallyu / Korean Wave, such as Korean pop music (K-Pop), Korean food (K-Food ), and Korean language and letters (Hangeul). It also makes many products made in Korea also enter Indonesia, including cosmetics, automotive, electronics, etc. As a form of Korean Nation Brand in Indonesia. So, Indonesian people can feel about (Hallyu) that came in. The purpose of this study will look at how Indonesia's attitude in responding to it and what is driving Indonesia's response to the phenomenon of Korean Skincare that uses as Diplomacy in Indonesia.
Modified Levy Flight Optimization for a Maximum Power Point Tracking Algorithm under Partial Shading

This paper presents a novel modified Levy flight optimization for a photovoltaic PV solar energy system. Conventionally, the Perturb and Observe (P&O) algorithm has been widely deployed in most applications due to its simplicity and ease of implementation. However, P&O suffers from steady-state oscillation and stability, besides its failure in tracking the optimum power under partial shading conditions and fast irradiance changes. Therefore, a modified Levy flight optimization is proposed by incorporating a global search of beta parameters, which can significantly improve the tracking capability in local and global searches compared to the conventional methods. The proposed modified Levy flight optimization is verified with simulations and experiments under uniform, non-uniform, and dynamic conditions. All results prove the advantages of the proposed modified Levy flight optimization in extracting the optimal power with a fast response and high efficiency from the PV arrays.
MMWAVE/THZ RECONFIGURABLE ULTRA-WIDEBAND (UWB) MICROSTRIP ANTENNA

The concept of ultra-wideband (UWB) reconfigurable mmWave/THz microstrip antenna with a newfangled gold radiating patch with two PIN diodes installed on a benzocyclobutene (BCB) polymer is presented. The reconfigurable types of the proposed antenna are frequencies, bandwidths (BWs), and beams reconfigurations. This reconfigurable antenna was designed and simulated with the time-domain based on a FIT solver at the CST MWS simulator, while the comparison was with the frequency-domain based on the FEM solver at the CST MWS simulator. The simulation results obtained from both solvers were in a fair agreement, supporting the proposed antenna design. These antennas may be used in cellular communication at mmWave/THz band for beyond 5G.
Vertical Profiles of Microbial Trace Element Utilization in Marine Environments

Background: Biological trace elements are used in small amounts but are required for all living organisms. They are key components of many proteins and enzymes involved in important biological processes. Many trace element-dependent proteins have been characterized in various microbes, but very little is known about their occurrence, functions, and interactions in microbial communities in marine environments, especially in depth-related marine ecosystems. Results: In this study, by analyzing metagenomic data from different geographic locations and water depths in the oceans around the world, we identified the distribution of genes encoding trace element-dependent proteins (for copper, molybdenum, tungsten, cobalt, nickel, and selenium) in a variety of marine samples from the upper ocean to the deep sea, which demonstrates vertical patterns of trace element utilization in marine microbes. More than 63,000 metalloprotein and selenoprotein genes belonging to nearly 100 families were predicted, constituting the largest environmental metalloprotein and selenoprotein gene dataset reported so far. Further examination of the interactions among trace elements revealed significant correlations between some of them (especially molybdenum or tungsten and selenium) and more active elemental crosstalk in the epipelagic zone of the ocean. Comparison of the patterns of trace element utilization across samples suggested that additional unknown factors might play a more important role in shaping trace element utilization in marine microbes living in certain locations. Finally, analysis of the relationship between water depth and metalloprotein/selenoprotein families revealed that the evolution of approximately half of the metalloprotein and selenoprotein families in marine microbial world could be influenced by ocean depth at either the global or the local level. Conclusions: Our findings provide new insights into the utilization and functions of trace elements in marine microbes along a vertical gradient across the ocean.
Effects of Processing Time and Temperature on Flavanol and Procyanidin, Proanthocyanidin and Antioxidant Activity of Cocoa Bean in Taiwan

Flavanol in cocoa is beneficial to cardiovascular health. This study investigated the effect of roasting conditions, temperature ranging from 110 to 150°C and time duration 15-35 min, on the level of flavanol and procyanidin (FP), total proanthocyanidin (PAC) and antioxidant activity of fermented cocoa beans in Southern Taiwan. The content of FP in unroasted and roasted cocoa bean was determined by the normal phase HPLC method and the antioxidant activity was assayed by DPPH and ABTS methods. High roasting temperature for long time decreased the content of FP and PAC in cocoa beans, where ranged from 55.30±1.95 mg (-)-epicatechin equivalents /g and 103.56±8.33mg procyanidin B1/g (at 110°C for 15 min) to 19.12±0.66 mg (-)-epicatechin equivalents /g and 51.58±0.86 mg procyanidin B1/g (at 150°C for 35 min), respectively. Meanwhile, as the roasting temperature rose, the DPPH and ABTS free radical scavenging ability of roasted cocoa bean extracts decreased gradually, varying from the maximum (IC50 = 104±2 µg/ml and 50.4±1.1mg TE/g) for unroasted bean to the minimum (IC50 = 144±4 µg/ml and 27.7±2.4 mg TE/g), and then slightly increased to IC50=134±4 µg/ml and 31.5±0.7 mg TE/g, respectively at most severe roasting treatment, showing the formation of melanoidins and polyphenols caused the synergistic effect, leading to the rise of the antioxidant activity. The first order kinetic reaction and the Arrhenius equation were applied to forecast the change of FP concentration during roasting. The activation energy of FP degradation is 11.2 kcal/mol. The obtained kinetic equation could be useful to predict the remaining amount of FP in cocoa beans under the designed experiment. The cocoa products with higher flavanol content and antioxidant activity could be possible by setting appropriate roasting conditions.
Detecting Dependency-Related Sentiment Features for Aspect-Level Sentiment Classification

Aspect-level sentiment classification aims to determine the sentiment polarity of a sentence toward a given aspect term or aspect category. For sentiment classification toward a given aspect term, some opinions may exist that are not the given aspect term's modifiers because a sentence may contain more than one aspect term. Hence, It is necessary to capture relevant opinion for a certain aspect term. To capture the nearest opinion of the aspect term, researchers have used the relative distance between an aspect term and all other words in a sentence. However, this can be infeasible when the sentence has a complex syntactic structure. In this paper, we introduce dependency relation to detect the dependency-related sentiment feature for the aspect term in the dependency parse tree, and integrate this relationship into the convolutional neural network and bidirectional long short-term memory. Experiments show that the related sentiment features for an aspect term help models discriminate its sentiment polarity. The proposed models achieve state-of-the-art results among neural networks. The codes and datasets are released on https://github.com/LittleSummer114/DW-CNN.
Radiation Copolymerization of Hydrogels Based in Polyacrylic Acid/Polyvinyl Alcohol Applied in Water Treatment Processes

Poly (acrylic, polyvinyl alcohol) copolymer hydrogel having varied PVA (Polyvinyl alcohol) content is prepared by gamma induced radiation polymerization. This hydrogel is used in water purification. The gel fraction and the swelling property are found to be 82% and 273% respectively at absorbed dose 20 kGy. The kinetic swelling and effect of solution pH on the swelling percent are also studied. The functional and bond structure is characterized by FT-IR (Fourier transform infrared spectroscopy). The hydrogel has been applied for the separation of Cu(II), Co(II) and Ni(II) ions from a test water solution. The factors affecting the metal uptake such as pH, time, and initial feed metal concentration are studied. It is found that, at pH 5 and after 24 h the maximum adsorption amount are 193 mg/g, 155 mg/g and 150 mg/g for Cu, Co and Ni respectively in case of PAAc. In case of P (PVA/AAc), there are increase in maximum capacity to be 197 mg/g, 194 mg/g and 160 mg/g towards Cu , Co and Ni ions, respectively. The selectivity of hydrogels towards the different metal ions is studied by EDX (Energy dispersive Xray) and follows the order Cu(II) > Co(II) > Ni(II). Microstructure of the prepared hydrogel before and after adsorption are investigated by means of SEM (Scanning electron microscope).
Incremental face clustering with optimal summary learning via graph convolutional network

: In this study, we address the problems encountered by incremental face clustering. Without the beneﬁt of having observed the entire data distribution, incremental face clustering is more challenging than static dataset clustering. Conventional methods rely on the statistical information of previous clusters to improve the efﬁciency of incremental clustering; thus, error accumulation may occur. Therefore, this study proposes to predict the summaries of previous data directly from data distribution via supervised learning. Moreover, an efﬁcient framework to cluster previous summaries with new data is explored. Although learning summaries from original data costs more than those from previous clusters, the entire framework consumes just a little bit more time because clustering current data and generating summaries for new data share most of the calculations. Experiments show that the proposed approach signiﬁcantly outperforms the existing incremental face clustering methods, as evidenced by the improvement of average F -score from 0.644 to 0.762. Compared with state-of-the-art static face clustering methods, our method can yield comparable accuracy while consuming much less time.
Multi-Criteria Decision-Making Methods to Address Water Allocation Problems: A Systematic Review

The water allocation problem is complex and requires a combination of regulations, policies, and mechanisms to support water management to minimize the risk of shortage among competing users. This paper compiles the application of multi-criteria decision-making (MCDM) related to water allocation. In this regard, this paper aims to identify and to discern the pattern, distribution of study regions, water problem classifications, and decision techniques application for a specific water allocation problem. We applied a systematic literature review study from 2000 to 2019 by using four literature databases (Web of Science, Scopus, Science Direct, and Google Scholar). From 109 papers, 49 publications have been identified and information extracted. This study reveals that in the past two decades the application of MCDM in the area of water allocation has increased particularly after 2014. Around 65% and 12% of study papers were conducted in Asia and Europe, respectively. Water shortage, water use management, and water quality were consecutively the most top-ranked discussed water problems. NSGA II (non-dominated sorting genetic algorithm), GA (genetic algorithm), and LP (linear programming) are the more often applied decision methods to solve water allocation problems. The key findings of this study provide guidelines for future research studies.
Density Gradient Study on Junctionless Stack Nano-Sheet with Stack Gate Oxide for Low Power Application

In this study, the Quad gate with gate oxide stack for 3 fins which is a vertically stacked device for the classical model and added the quantum mechanical effects to classical refers to the quantum model and both models have been explored for its analog performance. The analog and RF parameters for device performance like trans-conductance (gm), output conductance (gd), intrinsic gain (Av), and cut-off frequency (ft) are evaluated using a Visual TCAD tool. The simulation result reveals that a capacitance value for classical and quantum model (in the order of 10−19) which minimizes ON state delay and making the device suitable for fast switching applications. The AC analysis of the device demonstrates quite a high cut off frequency of 0.167 THz for classical model and 6.6 THz for Quantum model and a remarkable trans-conductance (Gm) of 23 µS. Furthermore, the P-type device response of the same has been studied extensively.
Evaluation of Technology Platforms for Use in Transdisciplinary Research

Transdisciplinary research (TR) is a growing field in a myriad of subject domains ranging from sustainability to education. The idea is to solve complex problems through the collaborative participation of academic actors, community stakeholders, governments, and other leaders to jointly define the problem and find solutions. To accomplish such complex projects, one of the main tools is an efficient technology platform. The need for an efficient technology platform, in turn, leads to a need for an evaluation tool to determine which is the most suitable for a given transdisciplinary research situation, however, a literature review confirms that research on such evaluation tools is scarce. The goal of this paper is to improve the evaluation of technology platforms for individual TR projects, based on the characteristics of that specific TR. The research question is “Can TR characteristics be used to construct an evaluation tool for technology platforms? ” The specific aims used to answer the question were: the following: (1) to define the characteristics (core activities and skills) of TR and (2) to construct a tool for evaluating technology platforms for use in TR. Methodology: For the first specific aim, a literature meta-analysis was used; the second specific aim was addressed following a newly developed methodology, including elements of the technology acceptance model and elements of a standard technology evaluation process. Results: A chart for defining the core activities and skills in TR was developed, and a tool was constructed for evaluating technology platforms that could be used in TR.
Preliminary Evaluation of a Rooftop Grid-Connected Photovoltaic System Installation under the Climatic Conditions of Texas (USA)

Solar photovoltaic (PV) systems have demonstrated growing competitiveness as a viable alternative to fossil fuel-based power plants to mitigate the negative impact of fossil energy sources on the environment. Notwithstanding, solar PV technology has not made yet a meaningful contribution in most countries globally. This study aims to encourage the adoption of solar PV systems on rooftop buildings in countries which have a good solar energy potential, and even if they are oil or gas producers, based on the obtained results of a proposed PV system. The performance of a rooftop grid-tied 3360 kWp PV system was analyzed by considering technical, economic, and environmental criteria, solar irradiance intensity, two modes of single-axis tracking, shadow effect, PV cell temperature impact on system efficiency, and Texas A&M University as a case study. The evaluated parameters of the proposed system include energy output, array yield, final yield, array and system losses, capacity factor, performance ratio, return on investment, payback period, Levelized cost of energy, and carbon emission. According to the overall performance results of the proposed PV system, it is found to be a technically, economically, and environmentally feasible solution for electricity generation and would play a significant role in the future energy mix of Texas.
Decolonising knowledge production on Africa: why it�s still necessary and what can be done

Contemporary debates on decolonising knowledge production, inclusive of research on Africa, are crucial and challenge researchers to reflect on the legacies of colonial power relations that continue to permeate the production of knowledge about the continent, its peoples, and societies. Yet these are not new debates. Sixty years ago, Ghana�s first president and pan-Africanist leader, Dr Kwame Nkrumah, highlighted the importance of Africa-centred knowledge. Similarly, in the 1980s, Claude Ake advocated for endogenous knowledge production on Africa. But progress has been slow at best, indicated by the enduring predominance of non-African writers on African issues within leading scholarly journals. Thus, we examine why decolonisation of knowledge production remains so necessary and what can be done within the context of scholarly research in the humanities and social sciences. These questions are addressed at two levels, one more practical and one more reflective . At both levels, issues of power inequalities and injustice are critical. At the practical level, the asymmetrical power relations between scholars in the Global North and South are highlighted. At a deeper level, the critiques of contemporary African authors are outlined, all contesting the ongoing coloniality and epistemic injustices that affect knowledge production on Africa, and calling for a more fundamental reorientation of ontological, epistemological, and methodological approaches in order to decolonise knowledge production.
Assessing public opinions on the likelihood and permissibility of gene editing through construal level theory

Anticipatory policy for gene editing requires assessing public opinion about this new technology. Although previous surveys have examined respondents’ views on the moral acceptability of various hypothetical uses of CRISPR, they have not considered whether these scenarios are perceived as plausible. Research in construal level theory indicates that participants make different moral judgments about scenarios seen as likely or near and those seen as unlikely or distant. Therefore, we surveyed a representative sample of 400 Americans and Canadians about both the likelihood and the permissibility of 23 commonly discussed uses of gene editing. Respondents with more knowledge of gene editing generally thought these applications would be more likely within the next 20 years. There was a strong positive relationship between the perceived likelihood and permissibility of most CRISPR applications. Our results suggest that ongoing public engagement efforts for gene editing could be improved by taking its perceived time-frames into account.