Miracle-dz/UniFAR-FTUs huggingface dataset:
KECENDERUNGAN PERILAKU CYBERBULLYING PESERTA DIDIK BERDASARKAN JENIS KELAMIN

AbstrakPenelitian dilatarbelakangi oleh mudahnya penggunaan komunikasi secara online yang dapat menimbulkan perilaku cyberbullying di kalangan remaja. Penelitian bertujuan menghasilkan data empirik mengenai kecenderungan perilaku cyberbullying yang dilakukan peserta didik Kelas VIII di salah satu SMP di Kota Bandung Tahun Ajaran 2017/2018. Pendekatan penelitian yang digunakan adalah kuantitatif dengan metode penelitian deskriptif dan desain penelitian survei. Hasil penelitian menunjukkan: 1) kecenderungan perilaku cyberbullying peserta didik Kelas VIII berada pada intensitas rendah sekali baik secara keseluruhan maupun berdasarkan bentuk; 2) kecenderungan perilaku cyberbullying berdasarkan jenis kelamin pada peserta didik kelas VIII berada pada intensitas rendah sekali pada setiap bentuk yang ada, namun terdapat dua bentuk yang memiliki intensitas tinggi yakni cyberstalking dan exclusion. AbstractThe ease of utilizing technology and the shifting pattern of communication from face to face to online make adolescents one of the most vulnerable communities to the negative impact of technology. One of the negative effects of technology and online communication is the emergence of cyberbullying behavior among teenagers. There is a different attitude and intensity between boys and girls in cyberbullying events. The study aimed to produce empirical data regarding the tendency of cyberbullying behavior based on gender by Class VIII students in one of the junior high schools in Bandung City Academic Year 2017/2018. The research approach used is quantitative with descriptive research methods and survey research designs. The results of the study show: 1) the tendency of cyberbullying behavior of Class VIII students to be at very low intensity both overall and based on form; 2) the tendency of cyberbullying behavior based on gender in Class VIII students is at very low intensity in each form, but there are two forms of behavior that have high intensity, namely cyberstalking and exclusion.
600 V GaN HEMT on 6-inch Si substrate using Au-free Si-LSI process for power applications

In this paper, we describe 600 V GaN high electron mobility transistors (HEMTs) technologies on a 6-inch Si substrate using an Au-free Si-LSI mass production line. Metal insulator semiconductor (MIS) HEMTs were fabricated using AlN as a gate insulator. The AlN layer was deposited by thermal atomic layer deposition (ALD) method using the mass-production-type vertical reactor which was capable for over 100 wafer depositions per run. High-temperature breakdown voltage of over 600 V was confirmed. Uniform static on-resistance (RON) across a 6-inch wafer was demonstrated using the AlN based gate insulator. Stable dynamic RON characteristics till 600 V were also verified using packaged GaN HEMT devices, suggesting that GaN on Si technology in this study is ready for manufacturing. Power factor control (PFC) circuit board operation was also demonstrated at high frequency up to 1 MHz.
ASPECTS OF THE ECOLOGY OF FERAL PIGS ( SUS SCROFA ) IN THE MURCHISON AREA , NEW ZEALAND *

Seven feral pigs (Sus scrofa), radio-tracked in relatively undisturbed rough pasture and forest near Murchison, New Zealand, for periods of 18-186 days, occupied home ranges of 28-209 ha. The immature pigs were significantly more active and had significantly larger home ranges than the adults, particularly adult females. The pigs were mainly nocturnal but they varied individually. The frequency of grazing and the rooting up of pasture and bracken (Pteridium esculentum) varied seasonally. Some of the pigs preferred pasture and bracken in their home ranges while others preferred mixed beech (Nothofagus spp.) forest. The number of pigs and their use of habitat were probably related to the seasonal availability and quality of food and shelter. Farrowing occurs throughout the year but peaks during spring. Litter sizes ranged from 1-9. Density was roughly 12-43 pigs per km compared with 3-8 per km in a nearby, more heavily hunted area.
Design of 5g Mobile Millimeter Wave Antenna

This paper present the design and simulation of a single band microstrip patch antenna for 5G wireless application operating at 60GHz. The design is carried on Roger RT5880 with 2.2 dielectric, 0.0009 loss tangent and 0.003 mm thickness using inset feeding. The overall dimension of the patch antenna is 2.9 × 3.5 mm 2 , two rectangular U-slot in conjunction with H-slot were loaded into the radiator to enhance the antenna bandwidth. The antenna is design and simulated and the analysis were carried out on CST studio. The antenna achieve a maximum reflection coefficient of about -41.648731 dB at 60 GHz with a very wide bandwidth of about 30 GHz and 8.82 dB realized gain.
Automatic particle picking using diffusion filtering and random forest classification

An automatic particle picking algorithm for processing electron micrographs of a large molecular complex, the 26S proteasome, is described. The algorithm makes use of a coherence enhancing diffusion filter to denoise the data, and a random forest classifier for removing false positives. It does not make use of a 3D reference model, but uses a training set of manually picked particles instead. False positive and false negative rates of around 25% to 30% are achieved on a testing set. The algorithm was developed for a specific particle, but contains steps that should be useful for developing automatic picking algorithms for other particles.
How salicylic acid takes transcriptional control over jasmonic acid signaling

Transcriptional regulation is a central process in plant immunity. The induction or repression of defense genes is orchestrated by signaling networks that are directed by plant hormones of which salicylic acid (SA) and jasmonic acid (JA) are the major players. Extensive cross-communication between the hormone signaling pathways allows for fine tuning of transcriptional programs, determining resistance to invaders and trade-offs with plant development. Here, we give an overview of how SA can control transcriptional reprogramming of JA-induced genes in Arabidopsis thaliana. SA can influence activity and/or localization of transcriptional regulators by post-translational modifications of transcription factors and co-regulators. SA-induced redox changes, mediated by thioredoxins and glutaredoxins, modify transcriptional regulators that are involved in suppression of JA-dependent genes, such as NPR1 and TGA transcription factors, which affects their localization or DNA binding activity. Furthermore, SA can mediate sequestering of JA-responsive transcription factors away from their target genes by stalling them in the cytosol or in complexes with repressor proteins in the nucleus. SA also affects JA-induced transcription by inducing degradation of transcription factors with an activating role in JA signaling, as was shown for the ERF transcription factor ORA59. Additionally, SA can induce negative regulators, among which WRKY transcription factors, that can directly or indirectly inhibit JA-responsive gene expression. Finally, at the DNA level, modification of histones by SA-dependent factors can result in repression of JA-responsive genes. These diverse and complex regulatory mechanisms affect important signaling hubs in the integration of hormone signaling networks. Some pathogens have evolved effectors that highjack hormone crosstalk mechanisms for their own good, which are described in this review as well.
Characteristics of Fixed Timing Strategy in Oversaturated Network Traffic Control

Network traffic signal control in oversaturated scenarios has to be disposed systematically. Three main components, network control objectives, control strategies and network flow models, are critical in it. This study selects the cell transmission model (CTM) to describe traffic flow characteristics and develops an optimal control model using one kind of network throughput performance indices, system dispersal time (SDT), as the control objective. Signal timing plans are calculated by gene algorithm optimization with common cycle strategy and these timing plans are evaluated by VISSIM at last. By regularization method analysis, the dispersal trajectory characteristics are derived out. Results show that a proper non-maximum cycle length will disperse congested network vehicles rapidly and a better fixed signal timing strategy will always try to disperse the congested vehicles in the congestion prophase
Morphometry of the Small Pulmonary Arteries in Man

From a resin cast of a normal pulmonary arterial tree, the diameter, length, and number of branches in each order were determined for arteries from 25 to 300 μm in diameter. Histological sections 120-ftm thick were cut from a normal human lung in which the pulmonary artery had been injected with a mixture of ink and gelatin. Similar measurements were made on arteries from 10 to 70 ftm in diameter, and the mode of origin of the capillaries was studied. The data thus obtained were found to correspond reasonably well to values previously estimated by extrapolation from data for arteries of 100 (im or more in diameter. The branching rules apply down to arteries of about 10-15 μ in diameter, the estimated number of which is 73 million. Distal to these vessels, capillaries arise either directly from small arteries or indirectly via precapillaries which are given off in great numbers and diverse patterns from the small arteries.
Some Features of Doping of Nano–Graphite in Natural Coir Fibre Epoxy Composites

Nanokompozit polimerlerin, biyomedikal muhendislik, elektronik yapi muhendisligi ve daha bircok cesitli sektor de; bilim ve teknolojideki yeni gelismeler nedeniyle dogrudan/dolayli kullanimlari girisimde bulunulmustur. Biz bu arastirmada, dogal hindistan cevizi lifi takviyeli polimer kompozitlerinde nano-grafitin katkisini kullandik. Kullanilan kompozit numuneleri, agirlik fraksiyonu ile bir epoksi recine matrisinde% 45 dogal hindistan cevizi lifi ve% 3.2 nano-grafit (N-G) idi. Dogal hindistan cevizi lifi icindeki % nano-grafit agirliginin uzerinde doping yaptigimiz da gerilme mukavemetinin kabaca % 45-50 ve geri kalaninin mekanik ozelliklerin ise ortalama 2-3 kat arttigini bulduk. Son olarak, SEM analizi ile mevcut lif elyafi kompozit numunelerinde nano grafitin iyi bir dagilimini ortaya koyduk.
Frame-based Poisson image restoration using a proximal linearized alternating direction method

The restoration problem for Poissonian images, arising in medical and astronomical applications, is an active research area. The associated optimization models are quite challenging since the fidelity term of the problem is not a quadratic function and the regularizer is usually nonsmooth. Recently, the augmented Lagrangian-based alternating direction method has been proposed to solve the total-variation-regularized convex model, frame-based analysis model and frame-based synthesis model. In this paper, we propose a frame-based balanced Poisson image restoration model and a proximal linearized alternating direction (PLAD) method to solve the proposed model. Unlike the augmented Lagrangian-based alternating direction method, the proposed PLAD algorithm does not require any inner iterations or inverses due to the replacement of the quadratic term of the augmented function by the sum of its linearization and the proximal function. We establish global convergence under mild conditions. The proposed method is highly parallelizable and it is thus suitable for large-scale image restoration problems. Numerical results show that the proposed framework, i.e., frame-based balanced model and the PLAD method outperforms analysis and synthesis models for Poisson image restoration problems in terms of the peak signal-to-noise ratio.
Refining Methodologies for the INEX 2013 Snippet Generation and Tweet Contextualization Tracks

This paper describes our current experiments in snippet generation and tweet contextualization. These experiments are based on work reported in 2011 (2) and 2012 (1) and represent refinements of those earlier techniques. Four of our snippet generation runs produced top-ranked results in the INEX 2012 competition; these serve as the basis for our 2013 experiments in snippet generation. Our 2013 tweet contextualization run produced a top-ranked result as well. The methodologies employed and the results obtained are described below.
Implementation of the Chronic Care Model in Small Medical Practices Improves Cardiovascular Risk but Not Glycemic Control

OBJECTIVE To test whether the implementation of elements of the Chronic Care Model (CCM) via a specially trained practice nurse leads to an improved cardiovascular risk profile among type 2 diabetes patients. RESEARCH DESIGN AND METHODS This cluster randomized controlled trial with primary care physicians as the unit of randomization was conducted in the German part of Switzerland. Three hundred twenty-six type 2 diabetes patients (age >18 years; at least one glycosylated hemoglobin [HbA1c] level of ≥7.0% [53 mmol/mol] in the preceding year) from 30 primary care practices participated. The intervention included implementation of CCM elements and involvement of practice nurses in the care of type 2 diabetes patients. Primary outcome was HbA1c levels. The secondary outcomes were blood pressure (BP), LDL cholesterol, accordance with CCM (assessed by Patient Assessment of Chronic Illness Care [PACIC] questionnaire), and quality of life (assessed by the 36-item short-form health survey [SF-36]). RESULTS After 1 year, HbA1c levels decreased significantly in both groups with no significant difference between groups (−0.05% [−0.60 mmol/mol]; P = 0.708). Among intervention group patients, systolic BP (−3.63; P = 0.050), diastolic BP (−4.01; P < 0.001), LDL cholesterol (−0.21; P = 0.033), and PACIC subscores (P < 0.001 to 0.048) significantly improved compared with control group patients. No differences between groups were shown in the SF-36 subscales. CONCLUSIONS A chronic care approach according to the CCM and involving practice nurses in diabetes care improved the cardiovascular risk profile and is experienced by patients as a better structured care. Our study showed that care according to the CCM can be implemented even in small primary care practices, which still represent the usual structure in most European health care systems.
A new polynomial class of cluster deletion problem

Cluster Deletion (CD) problem asks to transform a given graph into a cluster graph by at most k edge deletions. CD is a combinatorial problem arising in the field of classification. In this paper, we introduce a graph transformation which enabled the identification of new polynomially solvable classes of CD problem. We show that if a graph is K3-free or (diamond, kite, house, xbanner)-free then cluster deletion problem can be solved in polynomial time on that graph.
Phospholipids Induce Conformational Changes of SecA to Form Membrane-Specific Domains: AFM Structures and Implication on Protein-Conducting Channels

SecA, an essential component of the Sec machinery, exists in a soluble and a membrane form in Escherichia coli. Previous studies have shown that the soluble SecA transforms into pore structures when it interacts with liposomes, and integrates into membranes containing SecYEG in two forms: SecAS and SecAM; the latter exemplified by two tryptic membrane-specific domains, an N-terminal domain (N39) and a middle M48 domain (M48). The formation of these lipid-specific domains was further investigated. The N39 and M48 domains are induced only when SecA interacts with anionic liposomes. Additionally, the N-terminus, not the C-terminus of SecA is required for inducing such conformational changes. Proteolytic treatment and sequence analyses showed that liposome-embedded SecA yields the same M48 and N39 domains as does the membrane-embedded SecA. Studies with chemical extraction and resistance to trypsin have also shown that these proteoliposome-embedded SecA fragments exhibit the same stability and characteristics as their membrane-embedded SecA equivalents. Furthermore, the cloned lipid-specific domains N39 and M48, but not N68 or C34, are able to form partial, but imperfect ring-like structures when they interact with phospholipids. These ring-like structures are characteristic of a SecA pore-structure, suggesting that these domains contribute part of the SecA-dependent protein-conducting channel. We, therefore, propose a model in which SecA alone is capable of forming a lipid-specific, asymmetric dimer that is able to function as a viable protein-conducting channel in the membrane, without any requirement for SecYEG.
Students' Perceptions and Attitudes of Self -Efficacy Oriented by Research-Inquiry

Accepted: 28.05. 2018 The purpose of this research is to determine whether there is a meaningful relationship between secondary school students' attitude and perception levels of self-efficacy oriented by research-inquiry and as well whether students' attitude and selfefficacy levels differ according to grade and gender. The working group of the study consist of 234 secondary school students. The descriptive model of one of the quantitative research methods was used in this research. The data of the study was collected with Perception Scale of Self-Efficacy Oriented by ResearchInquiry and Attitude Scale Oriented by Research-Inquiry. Percentages, mean, Anova, Schieffe and t tests have been benefited in this study. According to data obtained from the study, it has been concluded that students' attitude and selfefficacy levels oriented by research-inquiry were in a high level, it hasn't differed according to gender, there was a significant difference against the 8th Grade students between Grade 8 and Grade 5 and 7 regarding to the attitude level, there was a significant difference against the 8th Grade students between Grade 8 and Grade 6 and 7 regarding to self efficacy level, there was a positive and meaningful relationship between the levels of attitude and self efficacy at a high level.
Secretion of cerebrospinal fluid by the ventricular ependyma of the rabbit.

POLLAY, MICHAEL, AND FRANKLIN CURL. Secretion of cerebrospinal&id b-y the ventricular epengyma of the rabbit. Am. J. Physiol. 213(4). 1031-1038. 1967. -An aqueductal-anterior fourth ventricular perfusion system has been described in the rabbit which allows measurement of fluid and solute exchanges occurring between brain and cerebrospinal fluid (CSF). It was shown, by direct volume and inulin-dilution measurements, that there was a net flu.id accretion of 0.33 ~1 cmA2 min-l within the experimental perfusion system. This volume flow was charged to the secretory activity of the ventricular ependyma. The rate of secretion was partially inhibited by topical 2 ,4-dinitrophenol (0.05 rnhl) and intravenous acetazolamide (100 mg/kg). The total area of ventricular ependyma in the rabbit was found to be 12.8 cm2, and the weight of choroid plexus tissue in the lateral and fourth ventricles was 22.8 mg. The rate of CSF formation attributed to the ventricular ependyma and the choroid plexus in the rabbit is 4.23 ~1 min-l and 8.44 ~1 min-l, respectively. In the rabbit, therefore, the total intraventricular rate of CSF formation is 12.67 ~1 min?
Designing Efficient Input Interconnect Blocks for LUT Clusters Using Counting and Entropy

In a cluster-based FPGA, the interconnect from external routing tracks and cluster feedbacks to the LUT inputs consumes significant area, and no consensus has emerged among different implementations (e.g., 1-level or 2-level). In this paper, we model this interconnect as a unified input interconnect block (IIB). We identify three types of IIBs and develop general combinatorial techniques to count the number of distinct functional configurations for them. We use entropy, defined as the logarithm of this count, to estimate an IIB's routing flexibility. This enables us to analytically evaluate different IIBs without the customary time-consuming place and route experiments. We show that both depopulated 1-level IIBs and VPR-style 2-level IIBs achieve high routing flexibility but lack area efficiency. We propose a novel class of highly efficient, yet still simple, IIBs that use substantially fewer switches with only a small degradation in routing flexibility. Experimental results verify the routability of these IIBs, and confirm that entropy is a good predictor of routability.
Connections to, Implications of, and Directions for a Cybernetic Theory of Psychopathology

The judiciously maligned categorical model of psychopathology provides favorable conditions for integrative and generative dimensional theory such as CB5T (DeYoung, 2015; DeYoung & Krueger, this issue; DeYoung & Weisberg, in press) to significantly impact clinical research and practice. Clinical researchers influenced by personality psychology have been preoccupied in recent decades with identifying a more parsimonious and tractable model of individual differences in psychopathology. However, most of this work has been focused on rearranging the contents of psychopathology to fit evidence-based between-person covariance structures (Kotov et al., 2017; Markon et al., 2005). These models function well as a descriptive framework but fall short of decoding the origins of psychopathology (Durbin & Hicks, 2014) or helping clinicians help patients (First, 2005). By contextualizing behavior and dysfunction in an individual’s actual life rather than either settling for broad nomothetic description or appealing to species-level survival goals, CB5T advances both etiological theorizing and the clinical utility of psychiatric diagnosis. Given our enthusiasm for the direction in which DeYoung and Krueger (this issue) point psychopathology research and clinical practice, our goal for this commentary is to expand the reach of CB5T by (a) situating it within three other current streams of personality research and mental health practice, (b) signaling two applied implications for clinical diagnosis, and (c) highlighting two potential future directions inspired by CB5T.
Transparent watermarking based on psychovisual properties using neural networks

The extreme growth of using digital media has created a need for techniques that can be used to protect the copyrights of digital contents. One approach for copyright protection is to embed an invisible signal, known as a digital watermark, in the image. One of the most important features of an effective watermarking scheme is transparency. A good watermarking method should be invisible such that human eye could not distinguish the dissimilarities between the watermarked image and the original one. On the other hand, a watermarked image should be robust against intentional and unintentional attacks. There is an inherent tradeoff between transparency and robustness. It is desired to keep both properties as high as possible In this paper we propose the use of artificial neural networks (ANN) to predict the most suitable areas of an image for embedding. This ANN is trained based on the human visual system (HVS) model. Only blocks which produce least amount of perceivable changes are selected by this method. This block selection method can aid many of the existing embedding techniques. We have implemented our block selection method in addition to a simple watermarking method. Our results show a noticeable improvement of imperceptibility in our approach compared to other methods.
Artificial Neural Networks as auxiliary tools in the diagnosis of malnutrition related diseases

We present the application of Self-Organizing Maps, combined with multi-layer Artificial Neural Networks, as a reliable auxiliary tool for the diagnosis of twelve common diseases, related with feeding difficulties on children upto twelve years old. The posed tool succeeds to pre diagnose with 96.2% of accuracy the proper diseases, under certain conditions of truncate information input.