Miracle-dz/UniFAR-FTUs huggingface dataset:
Mother-Adolescent Daughter Communication about Sex: Integrative Review

As sexual issues are taboo, it is considered inappropriate to discuss them directly and openly, especially communication about sex between mothers and daughters. Therefore, it is necessary to learn how communication between mothers and daughter about sexual topics can be improved to increase safe sexual behaviors. The purpose of this study is to understand the communication about sex between mothers and their adolescent daughters by conducting an integrative review of qualitative studies. An integrative review of qualitative research studies from 2000 to 2017 was undertaken. Systematic literature searches were carried out on electronic databases for journal articles and doctoral dissertations with full text focusing on mother-adolescent daughter communication about sex. Data was synthesized using thematic analysis. Seven qualitative articles were included in the synthesis, and five recurring themes were identified: 1) Mothers’ attitudes towards talking about sex with daughters 2) Feelings of daughters towards sexual communication with mothers 3) The first-time mother starting to talk about sex with her daughter 4) Contents of sexual communication and 5) Successfulness of communication. Results suggest future research in developing programs to provide communication about sexual matters between mothers and their daughters effectively, including consideration of different cultures and social contexts, is necessary. Keywords : mother-daughter communication, communication about sex, integrative review Address Correspondence to author: Lakkhana Chainok, RN Faculty of Nursing, Thammasat University 99 Klong1, Khlong Neung, Khlong Luang, Pathumthani 12121, Thailand. email: lakkhana014@nurse.tu. ac.th Received: March 23, 2018 Revision received: April 20, 2018 Accepted after revision: July 6, 2018 BKK Med J 2018;14(2): 121-127. DOI: 10.31524/bkkmedj.2018. 09.020
Summary and Perspectives

The job of attempting any sort of summary of so much material of such diversity is a formidable one, certainly when the task allocated includes sketching some perspectives. I shall attempt to tackle it in three stages, first mentioning some of the highlights from the various contributions, then offering a few general comments on characteristics of higher plants as test subjects for mutagen monitoring, and concluding with a brief-indeed very briefconsideration of perspectives. My comments are from one whose interests lie in plant physiology and cytogenetics; I am not myself active in the field of mutagenesis, so I hope you will bear with my deficiencies should anything I say sound erroneous or tendentious. The workshop opened with the paper from Dr. de Serres, who offered us some targets for the meeting. He reminded us of the range of purposes for which we may wish to monitor the environment for mutagenic agents, noting that we are not only concerned with the well-being of man, but with his plants and animals-and one might hope also the biome at large, not only those elements of it of direct human concern. He mentioned the impressive figure of 63,000 man-made chemicals now littered about the earth, with a growth rate of some 3000 new ones per year: indeed an intimidating screening task. As for the screening systems, he stressed the need for specificity; the requirement that the data gathered should be relevant to the problem, a consideration of great importance when it is proposed to extrapolate from results obtained with one class of organism to another, different, class. Dr. Heath followed with a sobering talk in which he gave us a glimpse of cancer epidemiology in the U. S. Among the many significant points he made I recall especially his comment on the long latent period between first exposure to a causal agent and the ultimate effect. He referred to the case histories of
On adaptivity of online model selection method based on multikernel adaptive filtering

We investigate adaptivity of the online model selection method which has been proposed recently within the multikernel adaptive filtering framework. Specifically, we consider a situation in which the nonlinear system under study changes during adaptation and an appropriate kernel also does accordingly. Our time-varying cost functions involve three regularizers: the ℓ1 norm and two block ℓ1 norms which promote sparsity both in the kernel and data groups. The block ℓ1 regularizers are approximated by their Moreau envelopes, and the adaptive proximal forward-backward splitting (APFBS) method is applied to the approximated cost function. Numerical examples show that the proposed algorithm can adaptively estimate a reasonable model.
A hierarchy of factors influence discontinuous gas exchange in the grasshopper Paracinema tricolor (Orthoptera: Acrididae)

The evolutionary origin and maintenance of discontinuous gas exchange (DGE) in tracheate arthropods are poorly understood and highly controversial. We investigated prioritization of abiotic factors in the gas exchange control cascade by examining oxygen, water and haemolymph pH regulation in the grasshopper Paracinema tricolor. Using a full-factorial design, grasshoppers were acclimated to hypoxic or hyperoxic (5% O2, 40% O2) gas conditions, or dehydrated or hydrated, whereafter their CO2 release was measured under a range of O2 and relative humidity (RH) conditions (5%, 21%, 40% O2 and 5%, 60%, 90% RH). DGE was significantly less common in grasshoppers acclimated to dehydrating conditions compared with the other acclimations (hypoxia, 98%; hyperoxia, 100%; hydrated, 100%; dehydrated, 67%). Acclimation to dehydrating conditions resulted in a significant decrease in haemolymph pH from 7.0±0.3 to 6.6±0.1 (mean ± s.d., P=0.018) and also significantly increased the open (O)-phase duration under 5% O2 treatment conditions (5% O2, 44.1±29.3 min; 40% O2, 15.8±8.0 min; 5% RH, 17.8±1.3 min; 60% RH, 24.0±9.7 min; 90% RH, 20.6±8.9 min). The observed acidosis could potentially explain the extension of the O-phase under low RH conditions, when it would perhaps seem more useful to reduce the O-phase to lower respiratory water loss. The results confirm that DGE occurrence and modulation are affected by multiple abiotic factors. A hierarchical framework for abiotic factors influencing DGE is proposed in which the following stressors are prioritized in decreasing order of importance: oxygen supply, CO2 excretion and pH modulation, oxidative damage protection and water savings.
Modulation of lipid metabolism by mixtures of protamine and chitooligosaccharide through pancreatic lipase inhibitory activity in a rat model

Overweight and obesity are usually related with high fat and calorie intake, and seriously causative of lifestyle-related diseases such as cardiovascular disorders, arteriosclerosis, and colon cancer. In this study, we propose a novel dietary therapy against overweight and obesity using mixtures of protamine and chitooligosaccharide (COS), which are known to interrupt the lipid metabolism in the body. Protamine is a dietary protein originated from salmon reproductive organ, and COS is an oligosaccharide made from chitin or chitosan by chemical or enzymatic hydrolysis. In the enzyme activity analysis in vitro, protamine and COS strongly suppressed the activity of pancreatic lipase, which is the primary enzyme for the digestion and absorption of lipids in the intestine. In in vivo animal test, the mixtures of protamine and COS significantly reduced the serum levels of triglyceride (TG), total cholesterol (T-CHO), and low density lipoprotein-cholesterol (LDLC) and inhibited the accumulation of lipids in liver tissue of Sprague Dawley (SD) rats fed high fat diets. On the other hand, they increased fecal TG and T-CHO contents. From these alterations in lipid metabolism, we verified that protamine and COS mixtures could effectively interrupt the digestion and absorption of dietary lipids in the body by inhibiting pancreatic lipase activity. In addition, protamine and COS mixtures increased the serum level of high density lipoprotein-cholesterol (HDLC), responsible for removing cholesterol from cells and protecting atherosclerosis, and therefore decreased the potential risks of cardiovascular diseases by lowering values of the atherogenic index (AI) and cardiac risk factor (CRF). Taken together, we suggest protamine and COS mixtures as a prominent dietary therapy for the prevention of overweight, obesity, and further cardiovascular diseases related with hyperlipidemia.
Becoming-dementia as an immanent condition of co-dwelling in everyday life

and inflexible. Whereas these professional and organisational normative ethics indicate how people should live, work and research, day-to-day care practice and illness experience, which are much complicated and intricately interwoven with the lives of others and their surroundings in any given time and space, are understated. As Julian Hughes (2014) and Clive Baldwin (Hughes and Baldwin, 2006) assert, people are always entangled with others, and thus an ethical dimension of daily life should be perceived as relational, situated and embodied in-the-world. There is no ‘pure’ or predesigned moral norm or ethical practice in reality (Fassin, 2014, p. 432) because it is difficult to discern ethical reflections on moral principles and more precisely, it is experientially indissoluble in everyday (care) practice. For example, the casuistic approach established in the report Dementia: Ethical Issues (Nuffield Council on Bioethics, 2009) is recommended for use in the sphere of bioethics, as it looks at ethical matters caseby-case based on moral theories and ethical frameworks (Hughes and Common, 2015). Like other normative rules and regulations, however, it cannot encompass everyday ethical dilemmas, nor does it reflect the way in which ethical experience and practice emerge, circulate and reproduce in practice. That is to say, ethics is continuously contested and negotiated in the formation of social life. Consequentially, this lacuna calls for an epistemological shift from normative ethics to ‘ordinary ethics’ (Lambek, 2010b) or ‘ethics in action’ (Powers, 2003, pp. 59-99), asking how people act and
An Algorithm for Tuning an Active Appearance Model to New Data

Active Appearance Models [5] are widely used to match statistical models of shape and appearance to new images rapidly. They work by findi ng model parameters which minimise the sum of squares of residual differences between model and target image. Their efficiency is achieved by pre-c omputing the Jacobian describing how the residuals are expected to change as the parameters vary. This leads to a method of predicting the position of the minima based on a single measurement of the residuals (though in practise the algorithm is iterated to refine the estimate). However, the estimate of the Jacobian from the training set will only be an approximation for any given target image, and may be a poor one if the target image is significantly different from the training im ages. This paper describes a simple method of updating a representation of the Jacobian as the search progresses. This allows us to tune the AAM to the current example. Though useful for matching to a single image, it is particularly powerful when tracking objects through sequences, as it gives a method of tuning the AAM as the search progresses. We demonstrate the power of the technique on a variety of datasets.
Liver CT image retrieval based on non-tensor product wavelet

This paper presents a content-based medical image retrieval (CBIR) method that used in medical CT images of liver lesions with a computer-assisted diagnosis. According to medical CT images characteristics of blurred boundaries and the unconspicuous region, the liver region of interest is extracted by using semi-automatic method. We extract local co-occurrence matrix texture features and intensity features, and use improved non-tensor product wavelet filter to extract the image global features. Experimental results show that this method can improve the detection rate of lesions. It obtains good results in hepatic hemangioma and HCC which are difficult differential diagnosis both of rich blood supply to tumors.
Hierarchy in Web Page Similarity Link Analysis

Rather than using traditional text analysis to discover Web pages similar to a given page, we investigate applying link analysis. Since web pages exist in a link-rich environment, that has the potential to relate pages by any property imaginable — since links are not restricted to intrinsic properties of the page text or metadata. In particular, while Web page similarity link analysis has been explored, prior work has deliberately ignored the explicitly hierarchical host & pathname structure within URLs. To exploit this property, we generalize Kleinberg’s well-known “hubs and authorities” HITS algorithm; adapt this algorithm to accommodate hierarchical link structure; test some sample web queries; and argue that the results are potentially superior and that the algorithm itself is better motivated.
Network-Based Modeling in Epidemiology: An Emphasis on Dynamics

The social behavior of individuals is an important factor of the transmission and the evolution of many diseases. As such, epidemic studies have attempted to integrate social aspects in dissemination modeling. Since the pioneering works of Klovdahl on AIDS in 1985, epidemiological investigations and interventions increasingly focus on social networks. Significant factors of the transmission and outbreak of many infectious diseases are the structure and nature of human interactions. Network-based modeling approaches have found various applications in epidemiology as a simple yet efficient way to represent the complexity of human relationships implicated in dissemination processes. However, most results have been obtained by considering social networks as steady stage structures. Evolving networks have not been explored. The objective is first to give an overview of network-based modeling attempts in epidemiology to analyze and understand the dissemination processes with an emphasis on dynamic networks. The authors approach is designed to understand the impact of social links dynamics on epidemic spread. The authors present the results obtained by combining network evolution patterns link creation and deletion and a typical epidemic model. The speed of link dynamics and the infection time strongly influence the occurrence and value of the epidemic peak.
Supervised models for multimodal image retrieval based on visual, semantic and geographic information

Nowadays, large-scale networked social media need better search technologies to achieve suitable performance. Multimodal approaches are promising technologies to improve image ranking. This is particularly true when metadata are not completely reliable, which is a rather common case as far as user annotation, time and location are concerned. In this paper, we propose to properly combine visual information with additional multi-faceted information, to define a novel multimodal similarity measure. More specifically, we combine visual features, which strongly relate to the image content, with semantic information represented by manually annotated concepts, and geo tagging, very often available in the form of object/subject location. Furthermore, we propose a supervised machine learning approach, based on Support Vector Machines (SVMs), to automatically learn optimized weights to combine the above features. The resulting models is used as a ranking function to sort the results of a multimodal query.
Nanophotonic devices for on-chip optical signal transmission and processing

We will review our recent progress in the fabrication of integrated nanophotonic devices and their applications in on-chip optical signal transmission and processing with advanced modulation formats. We will talk about both theoretical and experimental works on chip-scale optical signal transmission for photonic interconnections and various on-chip photonic signal processing functions (wavelength conversion, multiplexing/demultiplexing, data exchange, computing, coding/decoding).
A fast intra 4×4 mode decision algorithm for H.264/AVC down rate transcoding

H.264/AVC adopts 9 intra 4×4 prediction modes to improve the intra frame compression efficiency. This makes the intra frame coding and transcoding very complex. In this paper, a fast intra 4×4 mode decision algorithm is proposed to reduce the intra transcoding complexity. Firstly, the surrounding modes in the high bitrate and the modes of the neighboring blocks in the current bitrate are used to form the candidate modes. Secondly, the variance and mean of the intra prediction residual are used to further reduce the size of the candidate mode set. Thirdly, the intra mode context model is built from the high bitrate modes and updated by the low bitrate modes to order the candidate modes. An early skip scheme is used to terminate the mode decision process. Experimental results show that about 50% intra 4×4 modes can be saved with a penalty on coding efficiency less than 0.1dB. The transcoding performance can even gain up to 0.6 dB on some sequences.
Lessons learned after more than 1000 km in an autonomous shuttle guided by vision

This article presents a large scale and long duration experiment as part of the French FUI VipaFleet project. A driverless shuttle has been operated for three month on an industrial site, totaling nearly 1500 km of autonomous travel and 300 passengers transported. The localization relies mainly on a multi camera system and a visual SLAM algorithm. Besides the vision algorithms themselves, this article develops the practical aspects of a large scale experiment and the lessons learned from this experience.
A Qualitative Study on Belief, Perception, and Health Effects on Standing Zikr Among Thai Muslims in Nakhon Nayok Province

Many Muslims residing in Nakhon Nayok province state the importance of Standing Zikr as a common ritual activity which has been associated with Muslims’ health and wellbeing. This study aimed to explore belief, perception, and health effects regarding Standing Zikr. Fifteen Muslim participants who had been practicing Standing Zikr for at least one year were interviewed. Data was collected by conducting face-to-face in-depth interview at participants’ home and analyzed using the content analysis method of qualitative analysis. Based on our result, Standing Zikr was practiced since childhood with the support of family members and Muslim coordinators well-versed in the practice Standing Zikr. Amongst our Muslim participants, they had perceived benefits on physical and mental health, with reports of improved quality of life. There were some concerns in applying Standing Zikr for religion-related exercise (e.g., comparable sensitivity between exercise and Zikr). We conclude that Standing Zikr had positive outcomes on physical and mental health, while also improving the quality of life of Muslim participants. Applying Standing Zikr had a high sensitiveness. Hence, understanding the belief, perception, and health benefits of Zikr are needed to enhance the relationship between healthcare providers and Muslim patients.
Moment Sets of Bell–Shaped Distributions: Extreme Points, Extremal Decomposition and Chebysheff Inequalities

The paper deals with sets of distributions which are given by moment conditions for the distributions and convex constraints on derivatives of their c.d. fs. A general albeit simple method for the study of their extremal structure, extremal decomposition and topological or measure theoretical properties is developed. Its power is demonstrated by the application to bell-shaped distributions. Extreme points of their moment sets are characterized completely (thus filling a gap in the previous theory) and inequalities of Tchebysheff type are derived by means of general integral representation theorems. Some key words: Moment sets, Tschebysheff inequalities, extremal bell-shaped distributions
Parents’ Roles in Overcoming Elementary Students’ Learning Difficulties

This research aims to identify learning problems and the parents’roles in overcoming learning difficulties of 5th-grade students of Muhammadiyah Karangturi Elementary School, Bantul, Yogyakarta. Research participants were six students with learning difficulties, six parents, and four teachers. Selection of subjects used purposive sampling technique. Research object was the parents’ roles in overcoming students’ learning difficulties. This research was a qualitative research with data collection techniques in the form of observation, interviews, and documentation. Data analysis technique was the interactive model (data collection, data reduction, data models, and drawing conclusions). The results showed that the problems experienced by students with learning difficulties in Muhammadiyah Karangturi Elementary School were lower than average learning outcomes, slow understanding, and lack of reasonable attitudes, behavior, and emotional symptoms during the learning process. The parents’ roles in overcoming students’ learning difficulties are finding tutoring institutions for children, accompanying children when coming and going home from school, being good listeners, accompanying learning activities at home, taking children on the first day of school, meeting with teachers through parents association, and present at the distribution of learning outcomes report card.
State II Dissociation Element Formation Following Activator Excision in Maize

Active Activator (Ac) elements undergo mutations to become nonautonomous Dissociation (Ds) elements at a low frequency. To understand the mechanism of Ds formation, we have developed high-throughput genetic and molecular screens to identify these rare Ds derivatives generated from any Ac insertion in the maize genome. Using these methods we have identified 15 new Ds elements derived from Ac insertions at eight different loci. Approximately half of the Ds elements contain filler DNA inserted at the deletion junction that is derived from sequences within or adjacent to Ac. In contrast to previous reports, several of these Ds elements lack direct repeats flanking the deletion junctions and filler DNA in the donor Ac. To accommodate our findings and those of others, we propose a model of slip mispairing during error-prone repair synthesis to explain the formation of state II Ds elements in maize. We discuss the use of these lines and molecular techniques developed here to capture somatic Ds transposition events in two-component Ac/Ds tagging programs in maize.
Fam118B, a newly identified component of Cajal bodies, is required for Cajal body formation, snRNP biogenesis and cell viability

ABSTRACT Cajal bodies are specialized and dynamic compartments in the nucleus that are involved in the biogenesis of small nuclear ribonucleoproteins (snRNPs). Because of the dynamic and varied roles of Cajal bodies, it is of great interest to identify the components of Cajal bodies to better understand their functions. We performed a genome-wide screen to identify proteins that colocalize with coilin, the marker protein of Cajal bodies. In this study, we identified and characterized Fam118B as a newly discovered component of Cajal bodies. Fam118B is widely expressed in a variety of cell lines derived from various origins. Overexpression of Fam118B changes the canonical morphology of Cajal bodies, whereas depletion of Fam118B disrupts the localization of components of Cajal bodies, including coilin, the survival of motor neuron protein (SMN) and the Sm protein D1 (SmD1, also known as SNRPD1). Moreover, depletion of Fam118B reduces splicing capacity and inhibits cell proliferation. In addition, Fam118B associates with coilin and SMN proteins. Fam118B depletion reduces symmetric dimethylarginine modification of SmD1, which in turn diminishes the binding of SMN to this Sm protein. Taken together, these data indicate that Fam118B, by regulating SmD1 symmetric dimethylarginine modification, plays an important role in Cajal body formation, snRNP biogenesis and cell viability.