Miracle-dz/UniFAR-FTUs huggingface dataset:
Practicing Possibilities: Parents’ Explanations of Unusual Events and Children’s Possibility Thinking

Young children tend to judge improbable events to be impossible, yet there is variability across age and across individuals. Our study examined parent–child conversations about impossible and improbable events and links between parents’ explanations about those events and children’s possibility judgments in a reasoning task. Regression analyses revealed that parents’ speculation about potential mechanisms for improbable events during a parent–child book-sharing activity predicted children’s possibility judgments for similar events in an individual task and accounted for more of the variance than children’s age. Also, parents’ skepticism regarding mechanisms for impossible events was negatively correlated with children’s judgments about the possibility of improbable events. Additionally, children’s overall causal justifications for their judgments were correlated with parents’ talk about speculative mechanisms. Results suggest the importance of conversation with parents for young children’s developing understanding of the distinction between impossible and improbable.
Capillary filling dynamics of polymer melts in nanopores: experiments and rheological modelling

Understanding capillary filling dynamics in nanoconfined geometries is crucial in the nanotechnology field, such as nanofluidic devices, lab-on-a-chip, 3D printers, porous nanomaterials. The spontaneous capillarity-driven flow behaviors of polyethylene (PE) melts through anodized aluminum oxide (AAO) nanopores are investigated experimentally by using the nanoporous template wetting technique first in our study. The diameter of the pores is 100 nm and 200 nm. The displacement of the polymer melts is measured by the thickness of the fabricated nanowire array as a function of time. Besides, considering the effect of the shear rate on the polymer viscosity in the capillary nanoflow, a theoretical model, i.e. a modified Lucas–Washburn law that combines the Lucas–Washburn law with the polymer rheological model, is established. Based on the experimental results it is speculated that the rise of the meniscus agrees with the modified Lucas–Washburn law. It also suggests that the zero-shear-rate viscosity of the PE melts decreases in their flows through the nanopores and the induced unconventional rheological behavior may be caused by nanoconfinement of the nanopores.
Multiple Antigen Stimulating Cellular Therapy (MASCT) For Hepatocellular Carcinoma After Curative Treatment: A Retrospective Study

Background & Aims: The prognosis of hepatocellular carcinoma (HCC) remains poor and available treatment options are limited. This retrospective study evaluated the efficacy of Multiple Antigen Stimulating Cell Therapy (MASCT) as an adjuvant therapy for the treatment of HCC after curative treatment. Methods: Patients who underwent HCC curative treatments were classified into two groups: the MASCT group, in which patients received MASCT treatment after curative treatment (n = 47), and the control group, in which patients did not receive any treatment after curative treatment (n = 99). Patients who received ≥ 5 courses of MASCT treatment before recurrence or death (n = 26) were further stratified into a subgroup (multiple-course MASCT group) for analysis. The primary endpoint was overall survival (OS). The secondary endpoints were disease-free survival (DFS) and safety. Results: Kaplan-Meier analysis showed no statistically significant difference in OS between the MASCT group and the control group (P = 0.132), nor in DFS (P = 0.310) (median: 36.17 vs. 24.27 months). However, when comparing the multiple-course MASCT treated group to the control group, Kaplan-Meier analysis showed a significant difference in OS (P = 0.011), but not in DFS (P = 0.104) (median: 47.10 vs. 24.27 months). The overall incidences of treatment-related adverse events in the MASCT group and control group were 14.89% (7/47) and 19.19% (19/99), respectively. No MASCT treatment-related serious adverse events were reported. Conclusions: Although the MASCT group was not associated with significantly longer OS or DFS, the multiple-course MASCT group showed significantly improved overall survival after curative treatment, and the treatment procedures were well-tolerated. Multiple-course MASCT may therefore provide another choice for patients with HCC after curative treatment.
SDG 721 and SDG 705 are required for rice growthFA

H3K4me3 plays important roles in development, transcription, and environmental responses. Here, we report that SDG721 (SET-domain group protein 721) and SDG705 are involved in regulating rice development. SDG721 and SDG705 encode TRITHORAX-like proteins, which appear tomodulate H3K4methylation levels. Loss of SDG721 and SDG705 function resulted in GA-deficient phenotypes, including semi-dwarfism, reduced cell length, and reduced panicle branching. The transcripts levels and H3K4me3 levels of GA biosynthesis genes and GA signaling pathway genes were downregulated in the sdg721 sdg705 plants. Together, these results suggest that SDG721 and SDG705 regulate H3K4 methylation, which is crucial for plant development in rice.
Clinical Features and Outcome of Pediatric Neisseria meningitidis Serogroup W 135 Infection : A Report of 5 Cases

We describe 5 pediatric cases of Neisseria meningitidis serogroup W135 infection. Infectious and/or reactive extrameningeal involvement was frequent. One patient had a persistent postmeningococcal inflammatory syndrome. Four of 5 isolates belonged to the clonal complex 37. The important risk of extrameningeal complications must be borne in mind when treating children with N. meningitidis W135 infection.
Energy management strategies for smart home regarding uncertainties: State of the art, trends, and challenges

The advent of Smart grid and high-energy demand for electricity has provided new opportunities for energy management systems (EMSs) in a smart home (SH). Energy management strategies play a key role in performance and economy of smart homes integrating renewable energy resources, Heat Pumps (HP), and Plug-in Electrical Vehicle (PEV) energy storages. This paper presents a critical review and analysis of different energy management strategies for SH to handle the uncertainties involved in renewable energy resources, home load demands, PEV charging requirements, and household comfort. In addition, the present paper provides a comprehensive study of work on EMS, with a focus on stochastic modeling approaches and their effect on SH operations and outcomes. This review of different stochastic energy management strategies will be entirely helpful for SH development.
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos

In Actor and Observer we introduced a dataset linking the first and third-person video understanding domains, the Charades-Ego Dataset. In this paper we describe the egocentric aspect of the dataset and present annotations for Charades-Ego with 68,536 activity instances in 68.8 hours of first and third-person video, making it one of the largest and most diverse egocentric datasets available. Charades-Ego furthermore shares activity classes, scripts, and methodology with the Charades dataset, that consist of additional 82.3 hours of third-person video with 66,500 activity instances. Charades-Ego has temporal annotations and textual descriptions, making it suitable for egocentric video classification, localization, captioning, and new tasks utilizing the cross-modal nature of the data.
Food combinations for cholesterol lowering

Reducing elevated LDL-cholesterol is a key public health challenge. There is substantial evidence from randomised controlled trials (RCT) that a number of foods and food components can significantly reduce LDL-cholesterol. Data from RCT have been reviewed to determine whether effects are additive when two or more of these components are consumed together. Typically components, such as plant stanols and sterols, soya protein, β-glucans and tree nuts, when consumed individually at their target rate, reduce LDL-cholesterol by 3–9 %. Improved dietary fat quality, achieved by replacing SFA with unsaturated fat, reduces LDL-cholesterol and can increase HDL-cholesterol, further improving blood lipid profile. It appears that the effect of combining these interventions is largely additive; however, compliance with multiple changes may reduce over time. Food combinations used in ten ‘portfolio diet’ studies have been reviewed. In clinical efficacy studies of about 1 month where all foods were provided, LDL-cholesterol is reduced by 22–30 %, whereas in community-based studies of >6 months' duration, where dietary advice is the basis of the intervention, reduction in LDL-cholesterol is about 15 %. Inclusion of MUFA into ‘portfolio diets’ increases HDL-cholesterol, in addition to LDL-cholesterol effects. Compliance with some of these dietary changes can be achieved more easily compared with others. By careful food component selection, appropriate to the individual, the effect of including only two components in the diet with good compliance could be a sustainable 10 % reduction in LDL-cholesterol; this is sufficient to make a substantial impact on cholesterol management and reduce the need for pharmaceutical intervention.
A Hybrid Recommendation Method Based on Feature for Offline Book Personalization

Recommendation system has been widely used in different areas. Collaborative filtering focuses on rating, ignoring the features of items itself. In order to effectively evaluate customers preferences on books, taking into consideration of the characteristics of offline book retail, we use LDA model to calculate customers preference on book topics and use word2vec to calculate customers preference on book types. When forecasting rating on books, we take two factors into consideration: similarity of customers and correlation between customers and books. The experiment shows that our hybrid recommendation method based on features performances better than single recommendation method in offline book retail data.
Antiepileptic Drugs in the Treatment of Impulsivity and Aggression and Impulse Control and Cluster B Personality Disorders

We review here evidence that suggest that antiepileptic drugs (AEDs) (a.k.a. anticonvulsants) may be effective for the treatment of impulsivity and aggression across a range of psychiatric disorders. AEDs are increasingly used as primary or adjunctive treatments for impulse control disorders (ICDs) and cluster B personality disorders [in particular borderline personality disorder (BPD)]. Thus, in addition to the reviewing the effects of AEDS on the symptoms of impulsivity and aggression across a variety of diagnoses, we will focus on ICDs and BPD. The AEDs valproate (e.g., divalproex sodium), carbamazepine, and lamotrigine have U.S. Food and Drug Administration (FDA) indications for the treatment of bipolar disorder. Other AEDs, like oxcarbazepine, gabapentin, topiramate, levetiracetam, phenytoin, and tiagabine, are often used as mood stabilizers but do not have FDA indication for bipolar disorder. Use of off-label AEDs requires careful monitoring and publication of all significant results, including adverse effects. The choice of specific AED is often dependent on drug-drug interactions and side-effect profile (1). Side effects from AEDs are typically mild to moderate. Although data regarding longerterm safety of the newer AEDs are limited, they may have more desirable side-effect profiles.
Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir

The use of electroencephalogram (EEG) as the main input signal in brain-machine interfaces has been widely proposed due to the non-invasive nature of the EEG. Here we are specifically interested in interfaces that extract information from the auditory system and more specifically in the task of classifying heard speech from EEGs. To do so, we propose to limit the preprocessing of the EEGs and use machine learning approaches to automatically extract their meaningful characteristics. More specifically, we use a regulated recurrent neural network (RNN) reservoir, which has been shown to outperform classic machine learning approaches when applied to several different bio-signals, and we compare it with a deep neural network approach. Moreover, we also investigate the classification performance as a function of the number of EEG electrodes. A set of 8 subjects were presented randomly with 3 different auditory stimuli (English vowels a, i and u). We obtained an excellent classification rate of 83.2% with the RNN when considering all 64 electrodes. A rate of 81.7% was achieved with only 10 electrodes.
Atorvastatin Inhibits Inflammatory Response, Attenuates Lipid Deposition, and Improves the Stability of Vulnerable Atherosclerotic Plaques by Modulating Autophagy

Atherosclerosis is a chronic disease comprising intima malfunction and arterial inflammation. Recent studies have demonstrated that autophagy could inhibit inflammatory response in atherosclerosis and exert subsequent atheroprotective effects. Our previous study also demonstrated the role of autophagy in the inhibition of inflammation by atorvastatin in vitro. Therefore, in the present study, we aimed to determine whether atorvastatin could upregulate autophagy to inhibit inflammatory cytokines secretion, lipid accumulation, and improve vulnerable plaque stability, both in vitro and in vivo. First, we established a vulnerable atherosclerotic plaque mouse model through partial ligation of left common carotid artery and left renal artery to explore the effect of atorvastatin on vulnerable plaques. The results showed that atorvastatin could enhance the stability of vulnerable atherosclerotic plaques and reduce the lesion area in the aorta. Atorvastatin could also inhibit NLRP3 inflammasome activation and inflammatory cytokines, such as IL-1β, TNF-α, and IL-18 secretion in vivo. Atorvastatin treatment upregulated the expression of autophagy-related protein microtubule-associated protein light chain (LC3B) and downregulated the expression of SQSTM1/p62, which suggested that autophagy was activated in vulnerable plaques. Transmission electron microscopy further demonstrated the atorvastatin-induced increase in autophagy activity in vulnerable atherosclerotic plaques. We employed oxidized low-density lipoprotein (ox-LDL) to stimulate RAW264.7 cells with atorvastatin, which showed that atorvastatin could attenuate lipid deposition, ameliorate inflammation, inhibit NLRP3 inflammasome activation, and enhance autophagy in vitro. All these beneficial effects were abolished by 3-methyladenine treatment, an autophagy inhibitor. Atorvastatin also significantly inhibited the phosphorylation of mTOR, which strongly suggested the involvement of the mTOR pathway. Our study proposed a new role for atorvastatin as an autophagy inducer to exert anti-inflammatory and atheroprotective effects, to stabilize vulnerable atherosclerotic plaques.
Retrospective correction of involuntary microscopic head movement using highly accelerated fat image navigators (3D FatNavs) at 7T

The goal of the present study was to use a three‐dimensional (3D) gradient echo volume in combination with a fat‐selective excitation as a 3D motion navigator (3D FatNav) for retrospective correction of microscopic head motion during high‐resolution 3D structural scans of extended duration. The fat excitation leads to a 3D image that is itself sparse, allowing high parallel imaging acceleration factors – with the additional advantage of a minimal disturbance of the water signal used for the host sequence.
Invited: Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications

Deep Learning is arguably the most rapidly evolving research area in recent years. As a result it is not surprising that the design of state-of-the-art deep neural net models proceeds without much consideration of the latest hardware targets, and the design of neural net accelerators proceeds without much consideration of the characteristics of the latest deep neural net models. Nevertheless, in this paper we show that there are significant improvements available if deep neural net models and neural net accelerators are co-designed.
The potential influence of Atlantic salmon Salmo salar and brown trout Salmo trutta on density and breeding of the white‐throated dipper Cinclus cinclus

Abstract Interactions between birds and fish are often overlooked in aquatic ecosystems. We studied the influence of Atlantic salmon and brown trout on the breeding population size and reproductive output of the white‐throated dipper in a Norwegian river. Acidic precipitation led to the extinction of salmon, but salmon recolonized after liming was initiated in 1991. We compared the dipper population size and reproductive output before (1978–1992) and after (1993–2014) salmon recolonization. Despite a rapid and substantial increase in juvenile salmon, the breeding dipper population size and reproductive output were not influenced by juvenile salmon, trout, or total salmonid density. This might be due to different feeding strategies in salmonids and dippers, where salmonids are mainly feeding on drift, while the dipper is a benthic feeder. The correlation between the size of the dipper population upstream and downstream of a salmonid migratory barrier was similar before and after recolonization, indicating that the downstream territories were not less attractive after the recolonization of salmon. Upstream dipper breeding success rates declined before the recolonization event and increased after, indicating improved water quality due to liming, and increasing invertebrate prey abundances and biodiversity. Surprisingly, upstream the migratory barrier, juvenile trout had a weak positive effect on the dipper population size, indicating that dippers may prey upon small trout. It is possible that wider downstream reaches might have higher abundances of alternative food, rending juvenile trout unimportant as prey. Abiotic factors such as winter temperatures and acidic precipitation with subsequent liming, potentially mediated by prey abundance, seem to play the most important role in the life history of the dipper.
PENINGKATAN PERKEMBANGAN KOGNITIF MELALUI PEMBELAJARAN SAINS PEMULA DENGAN METODE PROYEK DI TAMAN KANAK-KANAK

Abstrak: Tujuan umum dari penelitian ini adalah untuk mengetahui peningkatan perkembangan kognitif melalui pembelajaran sains pemula dengan metode proyek pada anak usia 5-6 tahun Taman Kanak-Kanak ‘Aisyiyah Bustanul Athfal 3 Pontianak Tenggara. Bentuk penelitian yang digunakan dalam penelitian ini adalah Penelitian Tindakan Kelas (PTK) . Penelitian ini menggunakan pendekatan kualitatif karena penelitian ini bersifat deskriptif. Terdapat peningkatan perkembangan kognitif pada indikator mengenal perbedaan berdasarkan warna, bentuk, ukuran di kondisi awal 0%, meningkat menjadi 7,69% pada siklus I, pada siklus II meningkat menjadi 92,31%. Menerapkan pengetahuan atau pengalaman dalam kegiatan yang baru di kondisi awal 0%, meningkat menjadi 65,38% pada siklus I, pada siklus II meningkat menjadi 92,31% dan menunjukkan aktifitas yang bersifat menyelidik di kondisi awal 0%, meningkat 15,39% pada siklus I, pada siklus II meningkat menjadi 88,46%. Dengan demikian perkembangan kognitif anak pada siklus I ke siklus II mengalami peningkatan dan dikategorikan Tinggi. Kata Kunci: Perkembangan Kognitif, Pembelajaran Sains, Metode Proyek Abstract: This study aims to know the improving of cognitive development through early science lesson with project method to 5-6 years old students of ‘Aisyiyah Bustanul Athfal 3 Kindergarten in south east Pontianak. This is a qualitative study by using Classroom Action Research. It’s a qualitative approach because this study is descriptive. There is improving of cognitive development to the indicators of knowing the differences based on colours, shapes, sizes in the begining condition 0%, improve to 7,69% in cycle I, in cycle II improve to 92,31%. Applying knowledge of experience in the new activity at the beginning condition 0%, improve to 65,38% in cycle I, in cycle II improve to 92,31% and it shows activities which has research characteristics at the beginning condition 0%, improve to 15,39% in cycle I, in cycle II improve to 88,46%. It means the improving of children’s cognitive development in cycle I to cycle II has an improvement and it’s categorized as high. Keywords: Cognitive Development, Science Lesson, Project Method
On the Secrecy Capacity of a Full-Duplex Wirelessly Powered Communication System

In this paper, we investigate the secrecy capacity of a wirelesly powered communication system comprised of an energy transmitter (ET), an energy harvesting user (EHU), and a passive eavesdropper (EVE). The ET transmits radio-frequency energy that is used for powering the EHU as well as for generating interference at the EVE. The EHU uses the energy harvested from the ET to transmit confidential messages back to the ET. Both the ET and the EHU operate in the full-duplex (FD) mode. As a result, both the EHU and the ET are subjected to self-interference, which has different effects at the two nodes. In particular, the self-interference impairs the decoding of the received message at the ET, whilst it serves as an additional energy source at the EHU. For this system model, we derive an upper and a lower bound on the secrecy capacity. For the lower bound, we propose a simple achievability scheme. Our numerical results show significant improvements in terms of achievable secrecy rate when the proposed communication scheme is employed compared to its half-duplex counterpart.
Quantified Design Guidelines of a Compact Transformerless Active EMI Filter for Performance, Stability, and High Voltage Immunity

This paper proposes and analyzes a compact transformerless common mode active electromagnetic interference (EMI) filter (AEF) using a push–pull amplifier. Quantified design guidelines are then rigorously derived from the analysis with consideration for performance, stability, and high voltage transient immunity. The proposed AEF is manufactured based on the design guidelines, and its performance is validated by measurements using a vector network analyzer. The AEF is then implemented into a real 2.2 kW current resonant inverter, and the conducted emissions are reduced by 5–25 dB at a frequency range from 150 kHz to 6 MHz. In addition, the AEF's immunity against high voltage transients is demonstrated by lightning surge tests.
IL-1β/IL-6/CRP and IL-18/ferritin: Distinct Inflammatory Programs in Infections

The host inflammatory response against infections is characterized by the release of pro-inflammatory cytokines and acute-phase proteins, driving both innate and adaptive arms of the immune response. Distinct patterns of circulating cytokines and acute-phase responses have proven indispensable for guiding the diagnosis and management of infectious diseases. This review discusses the profiles of acute-phase proteins and circulating cytokines encountered in viral and bacterial infections. We also propose a model in which the inflammatory response to viral (IL-18/ferritin) and bacterial (IL-6/CRP) infections presents with specific plasma patterns of immune biomarkers.