The Impact of Demographic Factors and News Exposure of Child Sexual Abuse in the Mass Media Toward Communication Quality of Parents in Providing Sex Education for Children

Many cases of child sexual abuse become media spotlight, such as print media, TV, and online. However, not all the audience watch the news. They are motivated by differences in demographic factors, such as gender, age, education level, and income level. The cases spread in the mass media should be concern of many parents to pay more attention to the patterns of communication as a way of parents to control the safety of their children. Sex education is considered to be an appropriate way to provide sexual knownledge to children who are vulnerable from the damage of sexual crimes. However, not all parents are willing to deliver sex education to their children.This study employed the theory of social categories explain the difference between social categories can affect the audience\u27s response when receiving message from mass media (Rakhmat, 2011) and media functionalist theory that explain how media exposure can affect their communication activities that occur between the audience (Mc Quail, 1972). The population of this study were the parents of SD Negeri Padangsari 02 Semarang, who have child 10-12 years old. Sampling was done by simple random technique with a number of 63 respondents.The first hypothesis test indicate that the demographic factors of the three variables, those are gender, age, and educational level when calculated simultaneously using regression analysis techniques, do not affect the news exposure of child sexual abuse in the mass media. While the variable of income level has an impact to the news exposure of child sexual abuse in mass media with significance value of 0,011. The second hypothesis test prove that the news exposure of child sexual abuse in the mass media affects the communication quality of parents in providing sex education with a significance value of 0,001.Advice can be given from this study is that parents should pay more attention to their way to communicate with children, especially regarding sex education. Sex education can be good when it is given according to the child\u27s age and their understanding level considering the number of cases of sexual abuse is increase as in the media

Central GIP signaling stimulates peripheral GIP release and promotes insulin and pancreatic polypeptide secretion in nonhuman primates

Glucose-dependent insulinotropic polypeptide (GIP) has important actions on whole body metabolic function. GIP and its receptor are also present in the central nervous system and have been linked to neurotrophic actions. Metabolic effects of central nervous system GIP signaling have not been reported. We investigated whether centrally administered GIP could increase peripheral plasma GIP concentrations and influence the metabolic response to a mixed macronutrient meal in nonhuman primates. An infusion and sampling system was developed to enable continuous intracerebroventricular (ICV) infusions with serial venous sampling in conscious nonhuman primates. Male baboons (Papio sp.) that were healthy and had normal body weights (28.9 ± 2.1 kg) were studied (n = 3). Animals were randomized to receive continuous ICV infusions of GIP (20 pmol·kg−1·h−1) or vehicle before and over the course of a 300-min mixed meal test (15 kcal/kg, 1.5g glucose/kg) on two occasions. A significant increase in plasma GIP concentration was observed under ICV GIP infusion (66.5 ± 8.0 vs. 680.6 ± 412.8 pg/ml, P = 0.04) before administration of the mixed meal. Increases in postprandial, but not fasted, insulin (P = 0.01) and pancreatic polypeptide (P = 0.04) were also observed under ICV GIP. Effects of ICV GIP on fasted or postprandial glucagon, glucose, triglyceride, and free fatty acids were not observed. Our data demonstrate that central GIP signaling can promote increased plasma GIP concentrations independent of nutrient stimulation and increase insulin and pancreatic polypeptide responses to a mixed meal

Toward a Generalizable Framework of Disturbance Ecology Through Crowdsourced Science

© 2021 Graham, Averill, Bond-Lamberty, Knelman, Krause, Peralta, Shade, Smith, Cheng, Fanin, Freund, Garcia, Gibbons, Van Goethem, Guebila, Kemppinen, Nowicki, Pausas, Reed, Rocca, Sengupta, Sihi, Simonin, Słowiński, Spawn, Sutherland, Tonkin, Wisnoski, Zipper and Contributor Consortium.Disturbances fundamentally alter ecosystem functions, yet predicting their impacts remains a key scientific challenge. While the study of disturbances is ubiquitous across many ecological disciplines, there is no agreed-upon, cross-disciplinary foundation for discussing or quantifying the complexity of disturbances, and no consistent terminology or methodologies exist. This inconsistency presents an increasingly urgent challenge due to accelerating global change and the threat of interacting disturbances that can destabilize ecosystem responses. By harvesting the expertise of an interdisciplinary cohort of contributors spanning 42 institutions across 15 countries, we identified an essential limitation in disturbance ecology: the word ‘disturbance’ is used interchangeably to refer to both the events that cause, and the consequences of, ecological change, despite fundamental distinctions between the two meanings. In response, we developed a generalizable framework of ecosystem disturbances, providing a well-defined lexicon for understanding disturbances across perspectives and scales. The framework results from ideas that resonate across multiple scientific disciplines and provides a baseline standard to compare disturbances across fields. This framework can be supplemented by discipline-specific variables to provide maximum benefit to both inter- and intra-disciplinary research. To support future syntheses and meta-analyses of disturbance research, we also encourage researchers to be explicit in how they define disturbance drivers and impacts, and we recommend minimum reporting standards that are applicable regardless of scale. Finally, we discuss the primary factors we considered when developing a baseline framework and propose four future directions to advance our interdisciplinary understanding of disturbances and their social-ecological impacts: integrating across ecological scales, understanding disturbance interactions, establishing baselines and trajectories, and developing process-based models and ecological forecasting initiatives. Our experience through this process motivates us to encourage the wider scientific community to continue to explore new approaches for leveraging Open Science principles in generating creative and multidisciplinary ideas.This research was supported by the U.S. Department of Energy (DOE), Office of Biological and Environmental Research (BER), as part of Subsurface Biogeochemical Research Program’s Scientific Focus Area (SFA) at the Pacific Northwest National Laboratory (PNNL). PNNL is operated for DOE by Battelle under contract DE-AC06-76RLO 1830

A communal catalogue reveals Earth's multiscale microbial diversity

Our growing awareness of the microbial world's importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community samples collected by hundreds of researchers for the Earth Microbiome Project. Coordinated protocols and new analytical methods, particularly the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of diversity at an unprecedented scale. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth's microbial diversity.Peer reviewe

A communal catalogue reveals Earth’s multiscale microbial diversity

Our growing awareness of the microbial world’s importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community samples collected by hundreds of researchers for the Earth Microbiome Project. Coordinated protocols and new analytical methods, particularly the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of diversity at an unprecedented scale. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth’s microbial diversity

Chromosomal distribution of 29,813 InDels identified comparing baboon sequences with human hg18 reference assembly.

<p>Chromosomal distribution of 29,813 InDels identified comparing baboon sequences with human hg18 reference assembly.</p

Network of genes associated with cancer, cell death, cellular assembly and organization in baboon kidney.

<p>Each transcript and corresponding fold coverage value was imported into IPA and mapped to its corresponding gene in the IPA Knowledge Base. A fold coverage value of 302.8 was set to limit the number of molecules considered for the analysis. Genes meeting the cutoff criteria were overlaid onto a global molecular network developed from information within the IPA Knowledge Base, and the networks were then algorithmically generated based on their connectivity. Graphical representation of the network reveals genes with highest fold coverage in the baboon kidney. Genes are represented as nodes of various shapes to represent the functional class of the gene product, and the biological relationship between two nodes is represented as a line. The intensity of the node color indicates the degree of fold coverage.</p

Graphical representation of oxidative phosphorylation and mitochondrial dysfunction pathways revealed significant genes in baboon kidney.

<p>IPA was used to identify canonical pathways from the IPA library that were most significant in the baboon kidney RNA-Seq dataset. Molecules from the dataset that met a fold coverage cutoff of 302.8 and were associated with a canonical pathway in Ingenuity's knowledge Base were considered for the analysis. Oxidative phosphorylation and mitochondrial dysfunction were identified as the two most significant pathways in the dataset. Groups of molecules in the oxidative phosphorylation and mitochondrial dysfunction pathways are represented as various shades of red. The intensity of the node color indicates the degree of fold coverage in the RNA-Seq dataset. Nodes shown in gray represent genes from the dataset that did not meet the fold coverage cutoff, and nodes shown in white represent genes that are in IPA's Knowledge Base but not in the dataset. Members within each significant group of molecules are shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0057563#pone.0057563.s020" target="_blank">Table S20</a>.</p

Chromosomal distribution of 20,714 annotated coding RNA transcripts identified from the reference analysis.

<p>Chromosomal distribution of 20,714 annotated coding RNA transcripts identified from the reference analysis.</p