Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Schedules for Sensor Network Queries

We examine optimal strategies for querying a sensor network when energy efficiency and data freshness need to be balanced. We use statistical information about the nature of events monitored by the sensor network to develop good query schedules. For Poisson event arrivals, we develop an optimal scheduling strategy that is actually a periodic querying policy. For hyper exponential distribution of event inter-arrival times, we discuss an optimal policy, and suggest sub optimal schemes because of the high computational cost imposed by the optimal scheme. We treat the sensor network like a black box that has (primarily energy) costs associated with various operations and suggest that this is indeed feasible, as a consequence the higher-level policies that we discuss for scheduling queries can be realized easily.
Communicating the Benefits and Harms of Colorectal Cancer Screening Needed for an Informed Choice: A Systematic Evaluation of Leaflets and Booklets

Objective Evidence-based health information (EBHI) can support informed choice regarding whether or not to attend colorectal cancer (CRC) screening. The present study aimed to assess if German leaflets and booklets appropriately inform consumers on the benefits and harms of CRC screening. Methods A systematic search for print media on CRC screening was performed via email enquiry and internet search. The identified documents were assessed for the presence and correctness of information on benefits and harms by two reviewers independently using a comprehensive list of criteria. Results Many of the 28 leaflets and 13 booklets identified presented unbalanced information on the benefits and harms of CRC screening: one-third did not provide any information on harms. Numeracy information was often lacking. Ten cross-language examples of common misinterpretations or basically false and misleading information were identified. Discussion Most of the CRC screening leaflets and booklets in Germany do not meet current EBHI standards. After the study, the publishers of the information materials were provided feedback, including a discussion of our findings. The results can be used to revise existing information materials or to develop new materials that provide correct, balanced, quantified, understandable and unbiased information on CRC screening.
Coordinated changes in the accumulation of metal ions in maize ( Zea mays ssp . mays L . ) in response to inoculation with the arbuscular mycorrhizal fungus Funneliformis mosseae Running title : Ionome of mycorrhizal maize Corresponding

Arbuscular mycorrhizal symbiosis is an ancient interaction between plants and fungi of the phylum Glomeromycota. In exchange for photosynthetically fixed carbon, the fungus provides the plant host with greater access to soil nutrients via an extensive network of root-external hyphae. Here, to determine the impact of the symbiosis on the host ionome, the concentration of nineteen elements was determined in the roots and leaves of a panel of thirty maize varieties, grown under phosphorus limiting conditions, with, or without, inoculation with the fungus Funneliformis mosseae. Although the most recognized benefit of the symbiosis to the host plant is greater access to soil phosphorus, the concentration of a number of other elements responded significantly to inoculation across the panel as a whole. In addition, variety-specific effects indicated the importance of plant genotype to the response. Clusters of elements were identified that varied in a coordinated manner across genotypes, and that were maintained between non-inoculated and inoculated plants.
PLENATITUDE Teacher Education for Effectiveness and Well-Being with Neuro-Linguistic Programming.

The role and functioning of schools are changing as well as what is expected of teachers (who face growing and diversified challenges); consequentially, well-being at the schools is endangered. As teachers and teachers’ educators concern is: How to improve schools’ and teachers’ effectiveness and promote well-being. Believing that the path to effectiveness is through evidence-based practice, according to research results (meta-analysis and effect-sizes), the authors analyzed which factors have more impact on schools effectiveness; teachers arise as a significant factor, accounting for about 30% of the variance on pupils’ achievement. So, the authors have searched for factors that have significant impact on teachers’ effectiveness. Evidence shows that, among other factors, giving/receiving feedback, beliefs and expectations, self-efficacy, establishing clear goals, effective interpersonal communication, and classroom climate are determinant. In face of these findings, the authors have explored how NLP (neuro-linguistic programming) can contribute to improving teachers’ effectiveness, through professional training.
Accelerated testing method of LED luminaries

With rapid development of lighting emitting diode (LED) market, more people are focusing on reliability testing method of LED luminaries system. However, it is difficult to use traditional reliability testing method for electronic products to assess LED luminaries with high reliability and long life. In this paper, reliability testing methods applied on LED, LED luminaries and other fields are reviewed shortly, and step stress accelerated life test (SSALT) and step stress accelerated degradation test (SSADT) are selected for exploring reliability testing on commercial available LED systems. According to special characteristic of LED system and advantage of each method, both of methods are combined into one testing plan for evaluating system life. Proposed methods are also conducted on one thermal testing example by focused on commercial available LED bulb and lamp-cup systems. Explored results suggest that step stress accelerated test is an effective accelerated test method for LED luminaries. At the same time, there are still many challenging aspects for system reliability test, such as complicated failure mechanisms, Life gap among subsystems and also product manufacturers and lack of appropriate models to extrapolate. To assess the system reliability in future, an assessment procedure to subsystems is proposed by combining mentioned step stress accelerated test and system statistics analysis methodologies recommended in recent literature.
Tune In, Log On: Soaps, Fandom, and Online Community

Introduction Introduction Three Tales of One Community The Soap Opera and Its Audience TV for the Less Intelligent? Interpreting and Comparing Perspectives in the Audience Community It's Only a Soap Criticism, Creativity and Solidarity 'I Think of Them as Friends' Interpersonal Relationships in the On-Line Community The Development of Individual Identity Futureflash Five Years Later Conclusion Tune In Tomorrow
Helicobacter pylori Antibody Titer and Gastric Cancer Screening

The “ABC method” is a serum gastric cancer screening method, and the subjects were divided based on H. pylori serology and atrophic gastritis as detected by serum pepsinogen (PG): Group A [H. pylori (−) PG (−)], Group B [H. pylori (+) PG (−)], Group C [H. pylori (+) PG (+)], and Group D [H. pylori (−) PG (+)]. The risk of gastric cancer is highest in Group D, followed by Groups C, B, and A. Groups B, C, and D are advised to undergo endoscopy, and the recommended surveillance is every three years, every two years, and annually, respectively. In this report, the reported results with respect to further risk stratification by anti-H. pylori antibody titer in each subgroup are reviewed: (1) high-negative antibody titer subjects in Group A, representing posteradicated individuals with high risk for intestinal-type cancer; (2) high-positive antibody titer subjects in Group B, representing active inflammation with high risk for diffuse-type cancer; and (3) low-positive antibody titer subjects in Group C, representing advanced atrophy with increased risk for intestinal-type cancer. In these subjects, careful follow-up with intervals of surveillance of every three years in (1), every two years in (2), and annually in (3) should be considered.
A physics-inspired model of image structure representation by deformable elastic grid

A novel physics-inspired model is proposed for image structure representation. The deformable elastic grid is defined on digital images. The attracting force between adjacent points is defined according to the gray-scale difference, which is the source of force causing the deformation of the elastic grid. The final shape of the grid after deformation can represent image structure information, based on which a segmentation method is proposed for digital images. Experimental results indicate the effectiveness of the proposed method.
Examining bacterial species under the specter of gene transfer and exchange

Even in lieu of a dependable species concept for asexual organisms, the classification of bacteria into discrete taxonomic units is considered to be obstructed by the potential for lateral gene transfer (LGT) among lineages at virtually all phylogenetic levels. In most bacterial genomes, large proportions of genes are introduced by LGT, as indicated by their compositional features and/or phylogenetic distributions, and there is also clear evidence of LGT between very distantly related organisms. By adopting a whole-genome approach, which examined the history of every gene in numerous bacterial genomes, we show that LGT does not hamper phylogenetic reconstruction at many of the shallower taxonomic levels. Despite the high levels of gene acquisition, the only taxonomic group for which appreciable amounts of homologous recombination were detected was within bacterial species. Taken as a whole, the results derived from the analysis of complete gene inventories support several of the current means to recognize and define bacterial species.
NsrR from Streptomyces coelicolor Is a Nitric Oxide-sensing [4Fe-4S] Cluster Protein with a Specialized Regulatory Function*

Background: NsrR family proteins are [2Fe-2S] or [4Fe-4S] cluster-containing global regulators. Results: Streptomyces coelicolor NsrR regulates only three genes, and it is the [4Fe-4S] form of the protein that binds tightly to NsrR-regulated promoters. Conclusion: [4Fe-4S] NsrR has a specialized function associated only with nitric oxide stress response. Significance: Members of the NsrR family are most likely all [4Fe-4S] proteins. The Rrf2 family transcription factor NsrR controls expression of genes in a wide range of bacteria in response to nitric oxide (NO). The precise form of the NO-sensing module of NsrR is the subject of controversy because NsrR proteins containing either [2Fe-2S] or [4Fe-4S] clusters have been observed previously. Optical, Mössbauer, resonance Raman spectroscopies and native mass spectrometry demonstrate that Streptomyces coelicolor NsrR (ScNsrR), previously reported to contain a [2Fe-2S] cluster, can be isolated containing a [4Fe-4S] cluster. ChIP-seq experiments indicated that the ScNsrR regulon is small, consisting of only hmpA1, hmpA2, and nsrR itself. The hmpA genes encode NO-detoxifying flavohemoglobins, indicating that ScNsrR has a specialized regulatory function focused on NO detoxification and is not a global regulator like some NsrR orthologues. EMSAs and DNase I footprinting showed that the [4Fe-4S] form of ScNsrR binds specifically and tightly to an 11-bp inverted repeat sequence in the promoter regions of the identified target genes and that DNA binding is abolished following reaction with NO. Resonance Raman data were consistent with cluster coordination by three Cys residues and one oxygen-containing residue, and analysis of ScNsrR variants suggested that highly conserved Glu-85 may be the fourth ligand. Finally, we demonstrate that some low molecular weight thiols, but importantly not physiologically relevant thiols, such as cysteine and an analogue of mycothiol, bind weakly to the [4Fe-4S] cluster, and exposure of this bound form to O2 results in cluster conversion to the [2Fe-2S] form, which does not bind to DNA. These data help to account for the observation of [2Fe-2S] forms of NsrR.
Growth of Perturbations in Gravitational Collapse and Accretion

When a self-gravitating spherical gas cloud collapses or accretes onto a central mass, the inner region of the cloud develops a density profile ρ ∝ r-3/2 and the velocity approaches free fall. We show that in this region nonspherical perturbations grow with decreasing radius. In the linear regime, the tangential velocity perturbation increases as r-1, while the Lagrangian density perturbation, Δρ/ρ, grows as r-1/2. Faster growth occurs if the central collapsed object maintains a finite multiple moment, in which case Δρ/ρ increases as r-l, where l specifies the angular degree of the perturbation. These scaling relations are different from those obtained for the collapse of a homogeneous cloud. Our numerical calculations indicate that nonspherical perturbations are damped in the subsonic region and that they grow and approach the asymptotic scalings in the supersonic region. The implications of our results to asymmetric supernova collapse and to black hole accretion are briefly discussed.
PENGARUH KECERDASAN INTELEKTUAL, KECERDASAN EMOSIONAL, KECERDASAN SPIRITUAL, DAN PERILAKU BELAJAR TERHADAP PEMAHAMAN AKUNTANSI MAHASISWA FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS SAM RATULANGI MANADO

Globalization is definitely demanding of the human resources that have the skills in every fields of works so that they can be compete in the business world. In order to deal with this globalization, it needs the skills that absolutely to be reached by continuous study process, which one of them is the accounting skill that’s very needed in the economy nowadays. In order to face this competition, education world especially accounting demanded to produce the high quality output or the graduates and ready to compete in the jobs world. This research aimed to prove the influence of intelligence quotient, emotional quotient, spiritual quotient, and study behavior towards understanding of accounting of the student of Economic and Business Faculty, Sam Ratulangi University. The analysis method is linier double regression. The result gives the conclusion that is the intelligence quotient, emotional quotient, spiritual quotient, and the study behavior simultaneously have influence towards understanding of accounting of the students of Economic and Bussines Faculty, Sam Ratulangi University, while partially, intelligence quotient, emotional quotient, spiritual quotient, and study behavior significantly have not the influence towards understanding of accounting of the student of Economic and Bussines Faculty, Sam Ratulangi University Manado.
An integrative study of autobiographical memory for positive and negative experiences

In this study we examined autobiographical memory for emotional experiences from an integrative perspective, analyzing nature, distribution, content and phenomenological assessment of the experiences. Undergraduate students produced positive or negative life experiences, dated them and indicated their emotional level. Afterwards, they chose an experience to narrate, and rated their memory for the experience. The positive and negative experiences were grouped into 14 categories, although most of them fell into four areas: studies, family, friends and couple. The number of positive and negative experiences progressively increased from very few childhood memories to a larger percentage of more recent events. The distribution was equivalent, except during adolescence, in which a greater number of negative than positive experiences were recorded. The negative narratives included more emotional details, references to cognitive processes, mental rehearsal and justifications than the positive narratives. But the positive experiences obtained higher ratings in vividness and sensorial details than the negative experiences.
Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications

The last decade has seen a revolution in the theory and application of machine learning and pattern recognition. Through these advancements, variable ranking has emerged as an active and growing research area and it is now beginning to be applied to many new problems. The rationale behind this fact is that many pattern recognition problems are by nature ranking problems. The main objective of a ranking algorithm is to sort objects according to some criteria, so that, the most relevant items will appear early in the produced result list. Ranking methods can be analyzed from two different methodological perspectives: ranking to learn and learning to rank. The former aims at studying methods and techniques to sort objects for improving the accuracy of a machine learning model. Enhancing a model performance can be challenging at times. For example, in pattern classification tasks, different data representations can complicate and hide the different explanatory factors of variation behind the data. In particular, hand-crafted features contain many cues that are either redundant or irrelevant, which turn out to reduce the overall accuracy of the classifier. In such a case feature selection is used, that, by producing ranked lists of features, helps to filter out the unwanted information. Moreover, in real-time systems (e.g., visual trackers) ranking approaches are used as optimization procedures which improve the robustness of the system that deals with the high variability of the image streams that change over time. The other way around, learning to rank is necessary in the construction of ranking models for information retrieval, biometric authentication, re-identification, and recommender systems. In this context, the ranking model's purpose is to sort objects according to their degrees of relevance, importance, or preference as defined in the specific application.
Extracoelenteric zooplankton feeding is a key mechanism of nutrient acquisition for the scleractinian coral Galaxea fascicularis

SUMMARY Internal and external feeding on zooplankton may provide scleractinian corals with important nutrients. However, the latter process has never been properly quantified. To quantify the dynamics of zooplankton capture, digestion and release for a scleractinian coral, we performed detailed video analyses of Galaxea fascicularis feeding on Artemia nauplii. A highly dynamic process of prey capture, digestion and release was observed. A single G. fascicularis polyp (N=3) captured 558±67 and released 383±75 Artemia nauplii over a 6 h interval. On average, 98.6% of prey captured was not ingested. Instead, prey items were clustered into aggregates that were digested externally by mesenterial filaments. In addition, we employed carbon, nitrogen and phosphorus analysis of zooplankton before and after digestion by G. fascicularis colonies (N=6). For total organic carbon, 43.1% (0.298±0.148 μg Artemia–1) was lost after 6 h of digestion. For total organic nitrogen, total organic phosphorus and orthophosphate (PO43–), these values were 51.3% (0.059±0.028 μg Artemia–1), 50.9% (0.009±0.004 μg Artemia–1) and 84.6% (0.0019±0.0008 μg Artemia–1), respectively. For extracoelenteric zooplankton feeding alone, total estimated nutrient inputs for G. fascicularis colonies were 76.5±0.0 μg organic carbon, 15.2±0.0 μg organic nitrogen, 2.3±0.2 μg organic phosphorus and 0.5±0.8 μg inorganic phosphorus per cm2 coral tissue per day. These values exceed calculations based on intracoelenteric feeding by up to two orders of magnitude. Our results demonstrate that extracoelenteric zooplankton feeding is a key mechanism of nutrient acquisition for a scleractinian coral. These results are of importance to coral aquaculture and our understanding of benthic–pelagic coupling on coral reefs.
Automatic radar waveform recognition based on time-frequency analysis and convolutional neural network

In this paper, we apply the idea of deep learning to radar waveform recognition. Since the frequency variation with time is the most essential distinction among radar signals with different modulation types, we transform one-dimensional radar signals into time-frequency images (TFIs) using time-frequency analysis and design a convolutional neural network to recognize the frequency variation patterns exhibited in TFIs. Furthermore, we analyze the statistical characteristics of the noise in TFIs and introduce a naive approach to reduce its influence on the frequency variation patterns. Simulation results demonstrate the impressive recognition rate under very low SNR conditions and the strong generalization ability of our proposed recognition method.
Efficacy of CVD Risk Factor Modification in a Lower-Middle Class Community in Pakistan: The Metroville Health Study

The Metroville Health Study aimed to reduce consumption of total cooking fats by 33%, salt by 25% and replace ghee with vegetable oil in a lower middle class urban community in Pakistan. Households (n=403) were randomly assigned to Intervention and Control groups. A baseline screening collected data on CVD risk factors, knowledge and attitudes and household consumption of cooking fats and salt. Intervention households received information about CVD and regular visits by social workers who measured cooking fats and salt and counselled cooks on the goals of intervention. Two years later, 291 households were re-screened. Intervention households reduced consumption of fats and salt compared to differences were total fat, 48% (p<0.0001); ghee, 37% (p=0.005); vegetable oil, 33% ( p=0.0001); and salt, 41% (p=0.011). Household visits by trained social workers were effective in achieving reductions in consumption of cooking fat and salt in a lower class urban community. Asia Pac J Public Health 2003; 15(1): 30-36.
Vitamin E regulates adipocytokine expression in a rat model of dietary-induced obesity

The aim of this study was to determine the effect of the antioxidant vitamin E (VE) on adiponectin and leptin expression in obese rats. Thirty weaning male Sprague–Dawley rats were divided into three groups as follows: (1) a control group, fed with normal chow; (2) a diet-induced obesity group (DIO), fed with a high-fat diet and (3) an intervention group, fed with a high-fat diet supplemented with VE (350 mg/kg). After 10 weeks of being fed according to these group assignments, rats were weighed and euthanized. Blood and adipose tissues were then immediately collected; mRNA and protein levels of leptin and adiponectin were measured by realtime reverse transcription-polymerase chain reaction and Western blotting. Biomarkers of oxidative stress, including serum levels of 8-epi-prostaglandin-F2 α (8-epi-PGF2 α) and glutathione peroxidase activity, were also examined. Adiponectin and leptin levels were lower in the DIO group than in the control group. VE intervention increased the expression of both leptin and adiponectin (P values < 0.05). Association analysis showed that serum leptin levels correlated positively with body fat mass (r = 0.601, P < 0.05). Both serum leptin and adiponectin levels were associated with the presence of serum 8-epi-PGF2α (leptin, r = 0.513, P < 0.05; adiponectin, r = −0.422, P < 0.05). Administration of VE decreases leptin and adiponectin expression in obese rats. This finding is consistent with the view that antioxidants can play an important role in the treatment of obesity-related diseases.