Miracle-dz/UniFAR-FTUs huggingface dataset:
Parent Report of Mealtime Behaviors in Young Children with Type 1 Diabetes Mellitus: Implications for Better Assessment of Dietary Adherence Problems in the Clinic

ABSTRACT. Parents of children with a chronic illness that has a nutrition treatment component often report mealtime behavior problems. Although research suggests that parents of young children with type 1 diabetes mellitus (T1DM) perceive more mealtime behavior problems than parents of controls, no study has examined the pattern of mealtime behaviors reported by parents of children with T1DM. We examined parents' perceptions of mealtime behaviors of children with T1DM using the Behavioral Pediatric Feeding Assessment Scale (BPFAS). We hypothesized that parents of young children with T1DM would describe similar mealtime problems as has been found in families of children with clinical feeding problems. Data from 85 families of children with T1DM (mean = 5 ± 1.5 years) were used. Factor analysis for children with T1DM identified a 6-factor solution. Four factors (child refusal, picky eater, stalling, food texture) were similar to factors identified in children with clinical feeding problems. Two unique factors, reflecting strict dietary requirements and intense disruptive behavior, were identified for children with T1DM. Consistent with our hypothesis, we conclude that patterns of mealtime behaviors appear similar for children with T1DM and children with clinical feeding problems. However, for young children with T1DM, unique problems exist, related to a strict feeding schedule consistent with the diabetes diet. Within routine diabetes care, the BPFAS is a valid and clinically useful tool to assess dietary adherence and mealtime behaviors in children. Monitoring via the BPFAS can identify families in need of behavioral interventions to improve mealtime functioning.
Q-WordNet: Extracting Polarity from WordNet Senses

This paper presents Q-WordNet, a lexical resource consisting of WordNet senses automatically annotated by positive and negative polarity. Polarity classification amounts to decide whether a text (sense, sentence, etc.) may be associated to positive or negative connotations. Polarity classification is becoming important within the fields of Opinion Mining and Sentiment Analysis for determining opinions about commercial products, on companies reputation management, brand monitoring, or to track attitudes by mining online forums, blogs, etc. Inspired by work on classification of word senses by polarity (e.g., SentiWordNet), and taking WordNet as a starting point, we build Q-WordNet. Instead of applying external tools such as supervised classifiers to annotated WordNet synsets by polarity, we try to effectively maximize the linguistic information contained in WordNet, thereby taking advantage of the human effort put by lexicographers and annotators. The resulting resource is a subset of WordNet senses classified as positive or negative. In this approach, neutral polarity is seen as the absence of positive or negative polarity. The evaluation of Q-WordNet shows an improvement with respect to previous approaches. We believe that Q-WordNet can be used as a starting point for data-driven approaches in sentiment analysis.
Helicobacter pylori infection of AZ-521 cells reveals a type IV secretion defect and VacA-independent CagA phosphorylation

We refer to the recent publication by Nakano and co-workers in Disease Models & Mechanisms ([Nakano et al., 2016][1]). This report claims that the Helicobacter pylori vacuolating cytotoxin (VacA) is the crucial factor inducing the activation of the host cell kinase for translocated CagA, Src, via a
The Interface Between Fresh and Salt Groundwater: A Numerical Study

In this paper the two-dimensional flow of fresh and salt water through a homogeneous aquifer is considered. The two fluids are assumed to be separated by a sharp interface. They differ only in their specific weight. This difference induces a flow in the aquifer which in turn causes a motion of the interface. We present a mathematical formulation of this problem which consists of a Poisson equation for the stream function coupled to a time evolution equation for the moving interface. The equation for the stream function is solved by means of a finite-element method while a predictor-corrector method (the 5*p scheme) is used for the discretization of the equation for the interface.
Infatuation and Lovesickness on Sleep Quality and Dreams in Adolescence

Background: Infatuation and lovesickness are widespread and significant experiences in adolescence. Less is known about the connection between infatuation/lovesickness and sleep. The few studies, examining the link between infatuation and sleep quality show inconsistent results. The link between lovesickness and sleep as well as the link between infatuation/lovesickness and dreams has not been investigated yet. The aim of this study was to examine whether infatuation and lovesickness are linked to sleep quality and dreams in adolescents. Methods: A self-assessment online questionnaire was constructed to assess adolescents’ infatuation, lovesickness, sleep quality and dreams. In total, data of 630 adolescents and young adults (150 males, 480 females; aged 16 - 21) were analyzed in this study. Results: Infatuation did not relate to overall sleep quality and dreams. Sleep disturbances, as a component of overall sleep quality, were more frequent in infatuated adolescents. Adolescents currently suffering from lovesickness reported a significantly lower sleep quality, more negative dreams and nightmares. Furthermore, nightmares influenced them more strongly the next day. Conclusions: The associations between infatuation/lovesickness and sleep provide evidence for the far reaching effects of infatuation and lovesickness in adolescents’ lives. The fact that lovesickness leads to lower sleep quality and more negative dreams should be integrated in new approaches of insomnia treatment.
EXTENSIONS OF RUBIO DE FRANCIA'S EXTRAPOLATION THEOREM

One of the main results in modern harmonic analysis is the extrapolation theorem of J.L. Rubio de Francia for Ap weights. In this paper we discuss some recent extensions of this result. We present a new approach that, among other things, allows us to obtain estimates in rearrangement-invariant Banach function spaces as well as weighted modular inequalities. We also extend this extrapolation technique to the context of A1 weights. We apply the obtained results to the dyadic square function. Fractional integrals, singular integral operators and their commutators with bounded mean oscillation functions are also considered. We present an extension of the classical results of Boyd and Lorentz-Shimogaki to a wider class of operators and also to weighted and vector-valued estimates. Finally, the same kind of ideas leads us to extrapolate within the context of an appropriate class of non A1 weights and this can be used to prove a conjecture proposed by E. Sawyer.
Sample-Optimal Density Estimation in Nearly-Linear Time

We design a new, fast algorithm for agnostically learning univariate probability distributions whose densities are well approximated by piecewise polynomial functions. Let $f$ be the density function of an arbitrary univariate distribution, and suppose that $f$ is $\mathrm{OPT}$-close in $L_1$-distance to an unknown piecewise polynomial function with $t$ interval pieces and degree $d$. Our algorithm draws $n = O(t(d+1)/\epsilon^2)$ samples from $f$, runs in time $\tilde{O}(n \cdot \mathrm{poly}(d))$, and with probability at least $9/10$ outputs an $O(t)$-piecewise degree-$d$ hypothesis $h$ that is $4 \cdot \mathrm{OPT} +\epsilon$ close to $f$. Our general algorithm yields (nearly) sample-optimal and nearly-linear time estimators for a wide range of structured distribution families over both continuous and discrete domains in a unified way. For most of our applications, these are the first sample-optimal and nearly-linear time estimators in the literature. As a consequence, our work resolves the sample and computational complexities of a broad class of inference tasks via a single "meta-algorithm". Moreover, we experimentally demonstrate that our algorithm performs very well in practice. Our algorithm consists of three "levels": (i) At the top level, we employ an iterative greedy algorithm for finding a good partition of the real line into the pieces of a piecewise polynomial. (ii) For each piece, we show that the sub-problem of finding a good polynomial fit on the current interval can be solved efficiently with a separation oracle method. (iii) We reduce the task of finding a separating hyperplane to a combinatorial problem and give an efficient algorithm for this problem. Combining these three procedures gives a density estimation algorithm with the claimed guarantees.
Developing Extensive Reading Materials of Kubu Raya Folktales for Senior High School Students

Due to the limited numbers of English books where students can read in the literacy program and teachers can use as reference in teaching English in the class, this present study aimed to develop reading material of Kubu Raya folktales for teachers. In conducting this research, the researcher adapted ADDIE model which used only four phases, namely, analyze, design, develop and implementation. The subject of this research was the grade X MIPA 1 students of SMA N 1 Sungai Kakap, Kubu Raya. Questionnaire and interview were conducted to gather the data from the school. The finding revealed that students were in need of English books that could increase their interest in reading in English with the culture that students were familiar with. Thus, this study developed extensive reading material in the form of a story book that consisted of ten stories from Kubu Raya folktales where students were mostly come from. It is recommended for the future research to evaluate the product developed in this study and to add more stories and cover more samples.Keywords: Extensive reading, Materials, Folktales
Making green infrastructure healthier infrastructure

Increasing urban green and blue structure is often pointed out to be critical for sustainable development and climate change adaptation, which has led to the rapid expansion of greening activities in cities throughout the world. This process is likely to have a direct impact on the citizens’ quality of life and public health. However, alongside numerous benefits, green and blue infrastructure also has the potential to create unexpected, undesirable, side-effects for health. This paper considers several potential harmful public health effects that might result from increased urban biodiversity, urban bodies of water, and urban tree cover projects. It does so with the intent of improving awareness and motivating preventive measures when designing and initiating such projects. Although biodiversity has been found to be associated with physiological benefits for humans in several studies, efforts to increase the biodiversity of urban environments may also promote the introduction and survival of vector or host organisms for infectious pathogens with resulting spread of a variety of diseases. In addition, more green connectivity in urban areas may potentiate the role of rats and ticks in the spread of infectious diseases. Bodies of water and wetlands play a crucial role in the urban climate adaptation and mitigation process. However, they also provide habitats for mosquitoes and toxic algal blooms. Finally, increasing urban green space may also adversely affect citizens allergic to pollen. Increased awareness of the potential hazards of urban green and blue infrastructure should not be a reason to stop or scale back projects. Instead, incorporating public health awareness and interventions into urban planning at the earliest stages can help insure that green and blue infrastructure achieves full potential for health promotion.
Age-related associative deficits and the isolation effect

ABSTRACT If all but one of the items in a list are similar (e.g., all black except one red), memory for the different item is enhanced (the isolation effect). Older adults generally show similar or smaller isolation effects compared to young adults, which has been attributed to age-related deficits in associative memory whereby older adults are less able to associate an isolated stimulus to its isolating feature. Experiment 1 examined the isolation effect for isolation based on spatial position, modality and color; in Experiment 2, the criterion for isolation was the associative relation between stimuli. The results consistently showed no differences between young and older participants in the magnitude of the isolation effect. Whilst age deficits in associative memory may act to reduce the isolation effect in older adults, age deficits in self-initiated processing and inhibitory functionality may counteract this reduction by enhancing the isolation effect in older adults.
Taxonomic Freedom and the Role of Official Lists of Species Names

Abstract The sixth edition of the Scientific and Standard English Names of Amphibians and Reptiles of North America (Crother, 2008, SSAR Herpetological Circular 37:1–84) is the “Official Names List” for the three major North American herpetological societies. Although this publication is intended to aid users of scientific and common names, we argue that current practices for authoring, reviewing, and using this list, in some cases, generate taxonomic chaos. By this we mean that users are uncertain of which name to use and/or the rationale for using a particular name, and efficient communication is hindered by this confusion. Most importantly, through inadequate and inconsistent review of this list, the societies have endorsed unnecessary and arbitrary name changes and are uncritically promoting individual taxonomic viewpoints when a clear choice on the most appropriate name has not been reached by the community. This problem is exemplified by North American anurans for which 57 of the 100 species have scientific names (i.e., genus-species combinations) different from the previous version of the list. Forty-eight of these new combinations result from changes to the genus name, and there is controversy over the proposed genus names for at least 43 of these. Despite this controversy and that a stated goal of the list is to report on such controversies, the alternative names are not discussed. As a result, for these taxa, the list fails to provide adequate information for users to make informed decisions on name usage. Here, we examine the role of such lists in taxonomy. Although we specifically focus on the arbitrary changes to the names of North American Bufo and Rana, the continuation of current practices for generating the list will promote instability and taxonomic confusion on a broader scale. We conclude with recommendations for improving the utility of such lists and for avoiding unnecessary taxonomic chaos.
Consensus in hierarchical multi-agent dynamical systems with low-rank interconnections: Analysis of stability and convergence rates

In this paper, we propose a fairly general model for hierarchical multi-agent dynamical systems (HMADSs) with fractal structure and investigate their stability or convergence condition for consensus. We first generalize a model introduced by Smith et al. [1] to represent the weak cross-layer interconnection properly and explain the significance of focusing on the low-rank property instead of sparseness or small gain property. We then derive the analytical expression of eigenvalue distribution of the system matrix with rank 1 interconnection for cyclic pursuit. This provides us the stability or consensus condition for the whole system where each agent has a certain dynamics. We also clarify the relation between the property of interconnection and stability degree of multi-agent systems, which is confirmed by numerical examples. Further, we investigate the rank 2 case of the interconnection structure.
Does More Transmitting Sensors Always Mean Better Decision Fusion in Censoring Sensor Networks with an Unknown Size?

This paper examines the impact of sensor censoring on the decision fusion performance in networks with an unknown number of sensors. In performing the decision fusion process, the fusion center applies the Chair-Varshney test; suitably modified to take account of the unknown network size. A closed-form analytical expression is derived for the error probability of the modified fusion rule. It is shown that reducing the censoring probability, i.e., allowing a greater number of sensors to transmit their decisions, does not necessarily improve the decision fusion performance. Rather, there exists a certain censoring probability threshold below which increasing the number of transmitting sensors simply incurs a greater intra-network communication overhead but without improving the global decision performance. Our findings establish that the design of energy-efficient local detection rules should commence with the censoring rate threshold. Hence, it is desirable that the value of this censoring probability threshold be known in advance. Accordingly, the present study proposes an efficient method for identifying the censoring probability threshold value and determining the corresponding local censoring rule.
Connection Quality Health Services With Neonatal Visits at the Community Health Center Tawangmangu and Karangpandan Karanganyar Regency

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>Neonatal services are one of the government's efforts to reduce the risk of infant and maternal mortality. The quality of neonatal services is necessary to ensure that established standards provide services. The quality of neonatal services is related to postpartum mothers' compliance in carrying out neonatal visits. As primary health service providers, community health centers are responsible for providing optimal neonatal services. This study aims to determine the relationship between service quality and neonatal visits at Tawangmangu Health Center and Karangpandan Health Center, Karanganyar Regency. This research is a quantitative analytical research with a cross-sectional research design. The population in this study was postpartum mothers, totaling 119 people. The sampling technique is total sampling. The research sample was 112. The research instrument was a questionnaire. Data analysis uses the Chi-Square Test. The results of the study showed that there was no relationship between the quality of health services and neonatal visits at the Tawangmangu Health Center and Karangpandan Health Center, Karanganyar Regency (p-value 0.266; α </em><em>> </em><em>0.005). Therefore, the quality of health services needs to be improved, especially in the dimension of empathy which is still lacking. Empathy can be enhanced through personal relationships with patients. Health workers should always provide information about the importance of visits to health services and also recommend involving the people closest to them so that mothers make regular visits to maintain their health and know the growth and development of babies and toddlers so that it can increase the mortality rate. speed. speed. </em></p><p><em> </em></p></td></tr></tbody></table></div><strong><em>Keywords: Quality of Service, Neonatal Visits, Community Health Center</em></strong>
DNA Detection Using Recombination Proteins

DNA amplification is essential to most nucleic acid testing strategies, but established techniques require sophisticated equipment or complex experimental procedures, and their uptake outside specialised laboratories has been limited. Our novel approach, recombinase polymerase amplification (RPA), couples isothermal recombinase-driven primer targeting of template material with strand-displacement DNA synthesis. It achieves exponential amplification with no need for pretreatment of sample DNA. Reactions are sensitive, specific, and rapid and operate at constant low temperature. We have also developed a probe-based detection system. Key aspects of the combined RPA amplification/detection process are illustrated by a test for the pathogen methicillin-resistant Staphylococcus aureus. The technology proves to be sensitive to fewer than ten copies of genomic DNA. Furthermore, products can be detected in a simple sandwich assay, thereby establishing an instrument-free DNA testing system. This unique combination of properties is a significant advance in the development of portable and widely accessible nucleic acid–based tests.
Embedded Transition Inversion Coding With Low Switching Activity for Serial Links

Serial link interconnection has been proposed for its advantages of reducing crosstalk and area. However, serializing parallel buses tends to increase bit transition and power dissipation. Several coding schemes, such as serial followed by encoding (SE) and transition inversion coding (TIC), have been proposed to reduce bit transition. TIC is capable of decreasing transitions by 15% compared to the SE scheme, but an extra indication bit is added in every data word to represent inversion occurrence. The extra bit increases the transmission overhead and the bit transitions. This paper proposes an embedded transition inversion (ETI) coding scheme that uses the phase difference between the clock and data in the transmitted serial data to tackle the problem of the extra indication bit. The ETI coding scheme reduces the transition by up to 31% compared to SE scheme. The analysis and simulation results indicate that the proposed coding scheme produces a low bit transition for different kinds of data patterns. Using the optimum degree of multiplexing, width, and spacing, the ETI coding scheme achieves 30%-60% energy reduction compared with the parallel bus without overhead. Taking circuit overhead into consideration, the power saving is up to 31.71% and 26.46% at a clock cycle of 250 ps for the 90- and 130-nm CMOS technology for m=2 where m is the number of parallel wires multiplexed into a serial link.
Do I Need to Fix a Failed Component Now, or Can I Wait Until Tomorrow?

We investigate how predictive event-based modelling can inform operational decision making in complex systems with component failures. By relating the status of components to service availability, and using stochastic temporal logic reasoning, we quantify the risk of service failure now, and in the future, after a given elapsed time. Decisions can then be taken according to those risks. We demonstrate the approach through application to an industrial case study system in which component failures are sensed and monitored. The system has been deployed for some time. A novel aspect is we calibrate the model(s) according to inferences over historical field data, thus the results of our reasoning can inform decision making in the actual deployed system.
Energy Efficient Cluster based Routing Protocol for Wireless Sensor Networks

Wireless sensor network is a great boon to wireless technology which can be used in various critical applications, making it more familiar in emerging technologies which we use in our day to day life. Even though it has several advantages, it has some drawbacks like limited communication bandwidth, energy consumption etc. The purpose of the paper is to design an energy efficient cluster based routing protocol to minimize energy consumption since energy resource is the major life factor for a node. Usage of clustering concept in hierarchical protocol provides more advantages than any other traditional routing protocols. LEACH and LEACH-C are most commonly used hierarchical routing protocols. The author is proposing an enhancement of LEACH-C protocol, instead of using constant round time usage of adaptive variable round time method provides a multi-hop communication between distance nodes to base station. Thus by using this method, this protocol can be used for larger geographical region with less energy consumption and less cluster head death. The results were obtained by using NS2 simulator which shows the improvement of overall network efficiency by comparing with existing protocols.