bluuebunny/crossref_metadata_2025 huggingface dataset:
THE REPRESENTATION OF LIFE WAY OF WOMEN AT LATE ADULTHOOD
Authors: Ozerina A. A. , Suvorova O. V. , Dmitrieva E. E.
Published: March 2019

Introduction: the role of life path research is connected with the problem of inculturation, ensuring the transfer of spiritual values and traditions from generation to generation, ensuring the development of society. In contrast to the period of youth, late adulthood is rarely the subject of scientific research on the problem of life course. But the study of the specifics of this age is important for determining the mechanisms of personality formation, analysis of the possibilities of its potential development, clarification of sources and mechanisms of self-development. The growth of scientific interest in the semantic aspects of older people's ideas is useful for the prevention of ageism. Materials and methods: the purpose of the first stage of the study is to determine the content of the life path in the representation of women in late adulthood. We used the semi-structured interview method. The data is processed using the categorization method. 15 women from 55 to 90 years took part in it. The purpose of the second stage of the study was to identify gender and age-specific perception of life in late adulthood. We used the method of "life Line"and the method of MLO. The data obtained were processed using a single-factor analysis of variance and correlation. The respondents were 70 women and 30 men aged 55 to 90 years. Results: we have established that ideas about the way of life have event and semantic content. The past is the most intense period. The time perspective of the future is narrowed at this age. The period of the present is filled with existential themes. Gender perceptions on the lives of identified age-related problems. We have revealed a tendency to increase the number of negative events with age. We found that with age, older people are more likely to focus on childhood memories and the current state. Discussion and Conclusions: in part, the results are consistent with the theoretical facts about the period of late adulthood in personality psychology. They form the basis for psychological support of elderly women, which will be based on the principles of optimization of psychological wellbeing, non-traumatic understanding of life events, strengthening intergenerational solidarity.
Milk Consumption Correlates with Body Height in Children
Authors: Tirtasaputra Evan , Puspasari Grace , Lucretia Teresa
Published: March 2019

Growth in children is very important because it affects a person's height as an adult.Qualified and adequate nutrition play a significant role in growth. Adequate milk consumptioncan affect bone growth which ultimately affects height and helps reduce the risk of bone loss.The purpose of this study was to determine the correlation between milk consumption andheight in children. This study is an analytic observational study, involving 126 subjects aged 6-9 years from an elementary school in Bandung. The sample was taken by whole samplingtechnique. Data collection was carried out using questionnaires and height measurements. Thedata was analyzed using the Gamma correlation test. The statistical results showed a significantrelationship between the frequency of milk consumption and height (p = 0.044) with a mediumcorrelation coefficient (r = 0.430) and a positive correlation direction which meant an increasein the frequency of milk consumption along with the increasing height in children aged 6-9years. We concluded that milk consumption correlates with body height in children.Keywords: milk consumption, body height, children, correlation
The Abetting Bully: Vicarious Bullying and Unethical Leadership in Higher Education
Authors: P Hollis Leah
Published: March 2019

Aim/Purpose: The purpose of this paper is to examine the phenomena of vicarious bullying, or an abetting bully, when a bully’s subordinate is used to inflict abuse on the target. This study examines who is most affected by this multi-faceted organizational abuse in American higher education.

Background: Workplace bullying has received international attention. Recent studies in the United States have focused on workplace bullying in higher education. However, workplace bullying emerges from an elaborate social structure. This research article brings the unique perspective of vicarious bullying for analysis.

Methodology: A data collection from 729 American higher education professionals was used to answer the following three research questions which were addressed in this study: RQ1: What is the overall prevalence of vicarious bullying in American higher education? RQ2: What is the likelihood of experiencing vicarious bullying in American higher education based on gender? RQ3: What is the likelihood of experiencing vicarious bullying in American higher education based on a woman’s race? A chi-square analysis was used to examine which demographic groups are more susceptible to vicarious bullying.

Contribution: This article expands the literature on workplace bullying in American higher education by considering how unethical leadership can contribute to and inspire abetting and vicarious bullies who are enabled to maintain the toxic work culture.

Findings: This article expands the literature on workplace bullying in American higher education by considering how unethical leadership can contribute to and inspire abetting and vicarious bullies who are enabled to maintain the toxic work culture.

Recommendations for Practitioners: Vicarious bullying occurs when the organization fails to curtail managerial abuse. The result is higher turnover for women employees. Working with chief diversity officers and EEO officials can develop policies that stifle this behavior.

Recommendation for Researchers: While workplace bullying has gained international attention, the organizational behavior of vicarious bullying is a unique organizational perspective that warrants further study.

Impact on Society: Data confirm that women are more likely to leave their organizations to avoid workplace bullying. Women’s departures weaken an organization when they take their insight and knowledge with them.

Future Research: Future research can consider the relationship between ethical leadership at the department level and executive level of higher education, and how that might have an impact on the prevalence of workplace bullying.
Performance Evaluation of Modified Bitumen with Replaced Percentage of Waste Cooking Oil & Tire Rubber with Bagasse Ash as Modifier
Authors: Khan Junaid , Hussain Arshad , Haq Fazal , Ahmad Kamran , Mushtaq Kamran
Published: March 2019

Flexible pavements are the major type of pavement use in recent days. Bitumen is the main constituent’s part of flexible pavement. Bitumen is the by-produce of petroleum. The depleting reserve of petroleum led researcher to look for alternative binder. This research work explicitly aim at replacing certain percentage of bitumen with Tire Rubber powder (TR), Waste Cooking Oil (WCO) in the presence of Bagasse Ash (BA) as a modifier. Physical test were performed to determine optimum percentages of TR, WCO and BA that can be used as a percentage replacement in bitumen. Result shows that up to 20 % of bitumen can be successfully replaced without affecting performance of bitumen. Performance Tests such as Dynamic Shear Rheometer, Rotatory thin film oven, Pressure aging Vessel and Bending Beam Rheometer were performed on modified samples for its physical and rheological properties. Modified bitumen showed good resistance against rutting, skidding and low temperature cracking. The research work directly contribute in developments of alternative binder for flexible pavement which is a leading research trend these days and environmental friendly initiative.
Multi-Level Crash Prediction Models Considering Influence of Adjacent Zonal Attributes
Authors: Soltani Nemat , Saffarzadeh Mahmoud , Naderan Ali
Published: March 2019

This study investigates factors affecting accidents across transport facilities and modes, using micro and macro levels variables simultaneously while accounting for the influence of adjacent zones on the accidents occurrence in a zone. To this end, 15968 accidents in 96 traffic analysis zones of Tehran were analyzed. Adverting to the multi-level structure of accidents data, the present study adopts a multilevel model for its modeling processes. The effects of the adjacent zones on the accidents which have occurred in one zone were assessed using the independent variables obtained from the zones adjacent to that specific zone. A Negative Binomial (NB) model was also developed, and results show that the multilevel model that considers the effect of adjacent zones shows a better performance compared to the multilevel model that does not consider the adjacent zones’ effect and NB model. Moreover, the final models show that at intersections and road segments, the significant independent variables are different for each mode of transport. Adopting a comprehensive approach to incorporate a multi-level, multi-resolution (micro/macro) model accounting for adjacent zones’ influence on multi-mode, multi-segment accidents is the contribution of this paper to accident studies.
Using Convolutional Neural Networks for Sentiment Attitude Extraction from Analytical Texts
Authors: Rusnachenko Nicolay , Loukachevitch Natalia
Published: March 2019

In this paper we present an application of the specific neural network model for sentiment attitude extraction without handcrafted NLP features implementation. Given a mass-media article with the list of named entities mentioned in it, the task is to extract sentiment relations between these entities. We considered this problem for the whole documents as a three-class machine learning task. The modified architecture of the Convolutional Neural Networks were used and called as Piecewise Convolutional Neural Network (PCNN). The latter exploits positions of named entities in text to emphasize aspects for inner and outer contexts of relation between entities. For the experiments, the RuSentRel corpus was used, it contains Russian analytical texts in the domain of international relations.
Robust Fuzzy Cluster Ensemble on Cancer Gene Expression Data
Authors: Yan Yan , Nguyen Tin , Bryant Bobby , Harris Frederick C.
Published: March 2019

Noise remains a particularly challenging and ubiquitous problem in cancer gene expression data clustering research, which may cause inaccurate results and mislead the underlying biological meanings. A clustering method that is robust to noise is highly desirable. No one clustering method performs best across all data sets despite a vast number of methods available. Cluster ensemble provides an approach to automatically combine results from multiple clustering methods for improving robustness and accuracy. We have proposed a novel noise robust fuzzy cluster ensemble algorithm. It employs an improved fuzzy clustering approach with different initializations as its base clusterings to avoid or alleviate the effects of noise in data sets. Its results show effective improvements over most examined noisy real cancer gene expression data sets when compared with most evaluated benchmark clustering methods: it is the top performer on three of the eight data sets, more than any other methods evaluated, and it performs well on most of the other data sets. Also, our fuzzy cluster ensemble is robust on highly noisy synthetic data sets. Moreover, it is computationally efficient.
A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer
Authors: Rasanjana Wageesha , Rajapaksa Sandun , Perera Indika , Meedeniya Dulani
Published: March 2019

Prostate cancer is widely known to be one of the most common cancers among men around the world. Due to its high heterogeneity, many of the studies carried out to identify the molecular level causes for cancer have only been partially successful. Among the techniques used in cancer studies, gene expression profiling is seen to be one of the most popular techniques due to its high usage. Gene expression profiles reveal information about the functionality of genes in different body tissues at different conditions. In order to identify cancer-decisive genes, differential gene expression analysis is carried out using statistical and machine learning methodologies. It helps to extract information about genes that have significant expression differences between healthy tissues and cancerous tissues. In this paper, we discuss a comprehensive supervised classification approach using Support Vector Machine (SVM) models to investigate differentially expressed Y-chromosome genes in prostate cancer. 8 SVM models, which are tuned to have 98.3% average accuracy have been used for the analysis. We were able to capture genes like CD99 (MIC2), ASMTL, DDX3Y and TXLNGY to come out as the best candidates. Some of our results support existing findings while introducing novel findings to be possible prostate cancer candidates.
Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam
Authors: Rossetto Allison , Zhou Wenjin
Published: March 2019

Wavelet pooling methods can improve the classification accuracy of Convolutional Neural Networks (CNNs). Combining wavelet pooling with the Nesterov-accelerated Adam (NAdam) gradient calculation method can improve both the accuracy of the CNN. We have implemented wavelet pooling with NAdam in this work using both a Haar wavelet (WavPool-NH) and a Shannon wavelet (WavPool-NS). The WavPool-NH and WavPool- NS methods are most accurate of the methods we considered for the MNIST and LIDC- IDRI lung tumor data-sets. The WavPool-NH and WavPool-NS implementations have an accuracy of 95.92% and 95.52%, respectively, on the LIDC-IDRI data-set. This is an improvement from the 92.93% accuracy obtained on this data-set with the max pooling method. The WavPool methods also avoid overfitting which is a concern with max pool- ing. We also found WavPool performed fairly well on the CIFAR-10 data-set, however, overfitting was an issue with all the methods we considered. Wavelet pooling, especially when combined with an adaptive gradient and wavelets chosen specifically for the data, has the potential to outperform current methods.
Three-stage question answering system with sentence ranking
Authors: Soboleva Daria , Vorontsov Konstantin
Published: March 2019

We explore a recently proposed question answering system. We developed a high speed modification based on dividing the question answering system into three consecutive stages. The first step is to find the candidate documents that most likely contain the answer to the question. The second step is to rank sentences by the probability of having a correct answer to the question. The third step is to find the exact phrase that answers the question. At the third step we used a recently proposed recurrent bidirectional neural network predicting the beginning and the end of a response. In this paper we showed that the proposed question answering system allows to speed up its work without significant losses in the quality. For each step we also explored the feature space construction techniques allowing to improve the final quality.
Lemmatisation for under-resourced languages with sequence-to-sequence learning: A case of Early Irish
Authors: Dereza Oksana
Published: March 2019

Lemmatisation, which is one of the most important stages of text preprocessing, consists in grouping the inflected forms of a word together so they can be analysed as a single item, identified by the word’s lemma, or dictionary form. It is not a very complicated task for languages such as English, where a paradigm consists of a few forms close in spelling; but when it comes to morphologically rich languages, such as Russian, Hungarian or Irish, lemmatisation becomes more challenging. However, this task is often considered solved for most resource-rich modern languages irregardless of their morphological type. The situation is dramatically different for ancient languages characterised not only by a rich inflectional system, but also by a high level of orthographic variation, and, what is more important, a very little amount of available data. These factors make automatic morphological analysis of historical language data an underrepresented field in comparison to other NLP tasks. This work describes a case of creating an Early Irish lemmatiser with a character-level sequence-to-sequence learning method that proves efficient to overcome data scarcity. A simple character-level sequence-to-sequence model trained during 34,000 iterations reached the accuracy score of 99.2 % for known words and 64.9 % for unknown words on a rather small corpus of 83,155 samples. It outperforms both the baseline and the rule-based model described in [21] and [76] and meets the results of other systems working with historical data.
Automatic morphological analysis on the material of Russian social media texts
Authors: Fenogenova Alena , Kazorin Viktor , Karpov Ilia , Krylova Tatyana
Published: March 2019

Automatic morphological analysis is one of the fundamental and significant tasks of NLP (Natural Language Processing). Due to special features of Internet texts, as they can be both normative texts (news, fiction, nonfiction) and less formal texts (such as blogs and texts from social networks), the morphological tagging has become non-trivial and an actual task. In this paper we describe our experiments in tagging of Internet texts presenting our approach based on deep learning. The new social media test set was created, that allows to compare our system with state-of-the-art open source analyzers on the social media texts material.
Genre Classification Problem: in Pursuit of Systematics on a Big Webcorpus
Authors: Shavrina Tatiana
Published: March 2019

This article is devoted to the problem of defining a genre in computer linguistics and searching for parameters that could formalize the concept of a genre. All kinds of existing typologies of genres rely on different types of features, whereas in the practice of NLP, any modern applications are adapted to learning on big data, and therefore - on text features that do not require additional non-automatic markup. Based on such text-internal features, in this article we focus on differentiation of various genres and their grouping on the basis of a similar distribution of features. The description of the contribution of various types of features to the final result and their interpretation are given, and also an analysis of how such features can be used to further adaptation of NLP models is provided. The materials of the "Taiga" corpus with genre annotation are used as experimental data.
Formal Representation of Temporal Expressions
Authors: Timoshenko Svetlana P.
Published: March 2019

In this paper we address the semantics of temporal expressions in natural language (such as vchera,’yesterday’, shestnadcatogo maja, ’on the 16th of May’, tri dnja ’three days’) and the way they interact with some other manifestations of temporality (such as functioning of prepositions and aspectual verb forms). A formal and constituent description of heterogeneous temporal expressions is proposed. We consider the interval algebra presented by James Allen to be the right basis for such a description. The new formal system is compared with the known TimeML project. The latter has weak spots - the meaning of some temporal expressions simply can not be represented in terms of TimeML. We discuss such cases and show how to analyze them in our formal system.
Equipping Decoy Generation Algorithms for Template-free Protein Structure Prediction with Maps of the Protein Conformation Space
Authors: Zaman Ahmed Bin , Shehu Amarda
Published: March 2019

A central challenge in template-free protein structure prediction is controlling the quality of computed tertiary structures also known as decoys. Given the size, dimensionality, and inherent characteristics of the protein structure space, this is non-trivial. The current mechanism employed by decoy generation algorithms relies on generating as many decoys as can be afforded. This is impractical and uninformed by any metrics of interest on a decoy dataset. In this paper, we propose to equip a decoy generation algorithm with an evolving map of the protein structure space. The map utilizes low-dimensional representations of protein structure and serves as a memory whose granularity can be controlled. Evaluations on diverse target sequences show that drastic reductions in storage do not sacrifice decoy quality, indicating the promise of the proposed mechanism for decoy generation algorithms in template-free protein structure prediction.
Understand Effective Coverage by Mapped Reads using Genome Repeat Complexity
Authors: Gao Shanshan , Tran Quang , Phan Vinhthuy
Published: March 2019

Sequencing depth, which refers to the expected coverage of nucleotides by reads, is computed based on the assumption that reads are synthesized uniformly across chromosomes. In reality, read coverage across genomes is not uniform. Although a coverage of 10x, for example, means a nucleotide is covered 10 times on average, in certain parts of a genome, nucleotides are covered much more or much less. One factor that influences coverage is the ability of a read aligner to align reads to genomes. If a part of a genome is complex, e.g. having many repeats, aligners might have troubles aligning reads to that region, resulting in low coverage.

We introduce a systematic approach to predict the effective coverage of genomes by short-read aligners. The effective coverage of a chromosome is defined as the actual amount of bases covered by reads. We show that the quantity is highly correlated with repeat complexity of genomes. Specifically, we show that the more repeats a genome has, the less it is covered by short reads. We demonstrated this strong correlation with five popular short- read aligners in three species: Homo sapiens, Zea mays, and Glycine max. Additionally, we show that compared to other measure of sequence complexity, repeat complexity is most appropriate. This works makes it possible to predict effective coverage of genomes at a given sequencing depth.
STELLAR: A Generic EM Side-Channel Attack Protection through Ground-Up Root-cause Analysis
Authors: Das Debayan , Nath Mayukh , Chatterjee Baibhab , Ghosh Santosh , Sen Shreyas
Published: March 2019

The threat of side-channels is becoming increasingly prominent for resource-constrained internet-connected devices. While numerous power side-channel countermeasures have been proposed, a promising approach to protect the non-invasive electromagnetic side-channel attacks has been relatively scarce. Today's availability of high-resolution electromagnetic (EM) probes mandates the need for a low-overhead solution to protect EM side-channel analysis (SCA) attacks. This work, for the first time, performs a white-box analysis to root-cause the origin of the EM leakage from an integrated circuit. System-level EM simulations with Intel 32 nm CMOS technology interconnect stack, as an example, reveals that the EM leakage from metals above layer 8 can be detected by an external non-invasive attacker with the commercially available state-of-the-art EM probes. Equipped with this 'white-box' understanding, this work proposes STELLAR: Signature aTtenuation Embedded CRYPTO with Low-Level metAl Routing, which is a two-stage solution to eliminate the critical signal radiation from the higher-level metal layers. Firstly, we propose routing of the entire cryptographic cores power traces using the local lower-level metal layers, whose leakage cannot be picked up by an external attacker. Then, the entire crypto IP is embedded within a Signature Attenuation Hardware (SAH) which in turn suppresses the critical encryption signature before it routes the current signature to the highly radiating top-level metal layers. System-level implementation of the STELLAR hardware with local lower-level metal routing in TSMC 65 nm CMOS technology, with an AES-128 encryption engine (as an example cryptographic block) operating at 40 MHz, shows that the system remains secure against EM SCA attack even after 1 M encryptions, with 67% energy-efficiency compared to the unprotected AES.
HPC-BLAST: Distributed BLAST for Modern HPC Clusters.
Authors: Sawyer Shane , Horton Mitchel , Burdyshaw Chad , Brook Glenn , Rekapalli Bhanu
Published: March 2019

The near exponential growth in sequence data available to bioinformaticists, and the emergence of new fields of biological research, continue to fuel an incessant need for in- creases in sequence alignment performance. Today, more than ever before, bioinformatics researchers have access to a wide variety of HPC architectures including high core count Intel Xeon processors and the many-core Intel Xeon Phi.

In this work, the implementation of a distributed, NCBI compliant, BLAST+ (C++ toolkit) code, targeted for multi- and many-core clusters, such as those containing the Intel Xeon Phi line of products is presented. The solution is robust: distributed BLAST runs can use the CPU only, the Xeon Phi processor or coprocessor, or both by utilizing the CPU or Xeon Phi processor plus a Xeon Phi coprocessor. The distributed BLAST implementation employs static load balancing, fault tolerance, and contention aware I/O. The distributed BLAST implementation, HPC-BLAST, maintains greater than 90% weak scaling efficiency on up to 160 Xeon Phi (Knights Landing) nodes.

The source code and instructions, are available under the Apache License, Version 2.0 at https://github.com/UTennessee-JICS/HPC-BLAST.
Verb Construction As A Feature Of Genre Classification
Authors: Bujlova Nadezhda
Published: March 2019

In our research we studied the dependency structure of the text genre (love stories, detective stories, science fiction and fantasy). The novel characteristics (such syntactic attributes as verb constructions and construction of a specific cumulative threshold) which can be additional machine learning parameters were identified. We conducted experiment with novel features and showed that these characteristics can be useful for closely related genre recognition.
Prediction Of Novel Pirna Rat Clusters Based On Mouse Pirna Clusters Using Downstream and Upstream Analysis
Authors: Aldwairi Tamer , Hoffmann Federico , Perkins Andy
Published: March 2019

PiRNAs are a particular type of small non-coding RNA. They are distinct from miRNA in size as well as other characteristics, such as the lack of sequence conservation and increased complexity when compared to their miRNA counterparts. PiRNA is considered the largest class of sRNA that is expressed especially in the animal cells. piRNAs are derived from long single-stranded RNAs, which are transcribed from genomic clusters, in contrast to other small silencing RNAs. It has been speculated that one locus could generate more than one piRNA. PiRNA corresponding to repetitive elements is fewer in mammals than in other species like Drosophila and Danio rerio, which signifies that piRNA might have possessed or gained some additional functionality in mammals. While the functionality of piRNAs may not be fully understood, they are believed to be involved in gene silencing. In this paper, we will examine a novel approach to identify potential piRNA clusters based on genes downstream and upstream location and order.
VIABILITAS INOKULAN DALAM BAHAN PEMBAWA GAMBUT, KOMPOS, ARANG BATOK DAN ZEOLIT YANG DISTERIL DENGAN IRADIASI SINAR GAMMA Co-60 DAN MESIN BERKAS ELEKTRON
Authors: Putri Sindy Marieta , Anas Iswandi , Hazra Fahrizal , Citraresmini Ania
Published: March 2019

Carrier is one of the important factor to determine the quality of biofertilizer. The inoculant carriers should contain no or less microbial contaminant. The purpose of this research was to investigate viability of Azospirillum, Azotobacter and Phosphate Solubilizing Fungi inoculants in carrier material that were sterilized by Gamma Irradiation Co-60 and Electron Beam Machine (EBM). Each inoculants was injected to the sterilized peat, compost, coconut shell charcoal and zeolite. Viability of inoculants in steriled carrier was evaluated at 0, 7, 14, 42 and 70 days after preparation. The stirage was done in incubator at 25ºC. The result of viability of Azospirillum, Azotobacter and Phosphate Solubilizing Fungi inoculants on sterilized carrier material by Gamma Irradiation Co-60, EBM and autoclave tended to decline during storage 70 days at room temperature (250C). Viability of Azospirillum inoculants in zeolite sterilized by Gamma Irradiation Co-60 and autoclave gave the highest numbres of viable cells. Storage of these inoculants at 25ºC for 70 days only reduce the number of viable cells by 11.1%. Viability of Phosphate Solubilizing Fungi inoculants in coconut shell charcoal or compost sterilized by Gamma Irradiation Co-60 went down by 99.8% after 70 days. The sterilization of carriers by using autoclave or Gamma Irradiation Co-60 were better than EBM sterilization. . Keywords: Carrier, Electron Beam Machine, Gamma Irradiation Co-60, sterilization, viability
PROFIL KELARUTAN LIMBAH MINYAK BERAT AKIBAT PENAMBAHAN BAHAN PENCAMPUR
Authors: Charlena Charlena , Anas Iswandi , Mas'ud Zainal Alim , Syahreza Ahmad , Wanodyanti Niken Dyah
Published: March 2019

Heavy Oil Waste (HOW) is on of the most important petroeum waste. In the recent years, many contamination of soil or water by HOW have been reported. Bioremediation is one of the alternative technology to clean the HOW contaminated soil since it is enviromentally friendly, effective, efficient and low cost. The contaminated soil is diluted in water to form bioslurry. However, the solubility of HOW in water is very low. To increase HOW solubility in water, addition of four mixing agents were tested namely: Sodium Tripolyphosphate (STPP), Carboxymethyl cellulose (CMC), quart sand and pumice stone. The main characteristics of HOW were solid TPH was 17.2%, water content was 1.96% and Cu and Hg content was 1.49 ppm and 3.33 ppb, respectively. The parameters determined were turbidity, solid TPH, liquid TPH pH and COD. The results showed that (1) the highest turbidity was in the STPP addition; (2) the lowest solid TPH was in the addition of pumice stone; (3) the highest liquid TPH was in the STPP addition;(4) the pH varied from 3.6 to 7.9; (5) the ghigest COD was in the addition of STPP. From these results it can be concluded that the best mixing agent to increase the solubility of HOW in soil slurry was STPP. Keywords: heavy oil waste (HOW), mixing agents, solubility of HOW
KAJIAN POLA PEMANFAATAN RUANG DI KABUPATEN GARUT BERBASIS DAYA DUKUNG LINGKUNGAN HIDUP
Authors: Firdian Ardhy , Barus Baba , Pribadi Didit Okta
Published: March 2019

Enviromental carrying capacity was measured in three methods,i.e land capability, land carrying capacity and water carrying capacity. Garut Regency which is located at the upstream Cimanuk Watershed has an important role in the sustainability of capacity for downstream area. The aims of this study are: (1) to identify land use in Garut Regency in 2009, (2) to identify land capability in Garut Regency, (3) to assess the suitability of land use with land capability and space pattern in Garut Regency, (4) to identify the status of environmental carrying capacity in Garut Regency, and (5) to set a space pattern based on environmental carrying capacity. Based on the interpretation of Landsat Satellite Imagery in 2009, dryland agriculture has dominated the coverage about 45.4% and forest cover about 23.8%. This study also shows that most area in Garut Regency is belong to Class IV land capability (36.4% of the regency area) without Class I of land capability. Suitabilty evaluation between land cover and land capabilty describe that 48,45% area is suitable, 50.4% area is not suitable and 1.18% area is conditionally suitable depending on limitation factors that affect land capability. Another evaluation between space patern and land capability shown that 59.0% area is suitable, 32.1% area is not suitable, and 8.84% area is conditionally suitable. Both status of land carrying capacity and water carrying capacity are deficit. According to spatial pattern based on land capability and existing forest, space that can be use as the preservation area is about 58.5% of the area, and space that can be use as the cultivation area is about 41.5% of the area of Garut Regency.
Keywords : Land capability, land cover/use, spatial pattern, water carrying capacity
ANALISIS RESPON HIDROLOGI DAN SIMULASI TEKNIK KONSERVASI TANAH DAN AIR SUB DAS CIMANUK HULU
Authors: Munggaran Gilang , Hidayat Yayat , Tarigan Surya Darma , Baskoro Dwi Putro Tejo
Published: March 2019

DAS Cimanuk hulu merupakan salah satu DAS yang prioritas di Jawa Barat. Penelitian ini bertujuan untuk menganalisis berbagai skenario penggunaan lahan untuk memperbaiki aliran dasar dan aliran lateral. Analisis menggunakan Model Hidrologi SWAT. Hasil penelitian menunjukan bahwa kinerja model mampu memprediksi debit aliran dengan nilai NSE 0.56 (memuaskan) dan R2 0.70. Ada empat skenario  yang  akan dianalisis. Aliran dasar dan aliran lateral terbaik berasal dari  skenario pertama dengan penerapan teknik Konservasi Tanah dan Air. Skenario tersebut menghasilkan koefisien rezim sungai sebesar 78 (sedang), mengurangi aliran permukaan (direct runoff) sebesar 40.76% dan meningkat lateral sebesar 536.95 mm.

 

Kata kunci: Aliran dasar, penggunaan lahan, aliran lateral, teknik konservasi tanah dan air, model SWAT
PERUBAHAN PENGGUNAAN LAHAN DAN POTENSI PERLUASAN LAHAN UNTUK SAWAH DI KABUPATEN CIANJUR
Authors: Chairunnisa Chaida , Munibah Khursatul , Widiatmaka Widiatmaka
Published: March 2019

Pertumbuhan penduduk, peningkatan pendapatan, dan pesatnya pembangunan menjadikan permasalahan penggunaan lahan semakin kompleks. Lahan berperan sebagai penyedia pangan, namun di sisi lain permintaan lahan di luar sektor pertanian terus meningkat secara signifikan untuk memenuhi kebutuhan penduduk. Kabupaten Cianjur merupakan kabupaten dengan luas sawah terbesar pertama di bagian selatan Provinsi Jawa Barat. Namun, konversi lahan sawah menjadi lahan pertanian lain atau lahan non-pertanian menyebabkan penurunan luas baku sawah. Penelitian yang bertujuan untuk: (1) menganalisis pola perubahan penggunaan dan penutupan lahan, (2) mengevaluasi kesesuaian lahan untuk sawah, dan (3) menganalisis potensi perluasan penggunaan lahan untuk sawah. Pola perubahan penggunaan dan penutupan lahan diidentifikasi menggunakan citra Landsat tahun perekaman 2000 dan 2015 dengan teknik fusi citra. Kesesuaian lahan untuk sawah dianalisis menggunakan metoda faktor pembatas minimum. Potensi perluasan lahan untuk sawah mengacu pada kesesuaian lahan dan alokasi lahan pada Rencana Tata Ruang Wilayah (RTRW). Hasil penelitian menunjukkan bahwa pada periode analisis, lahan sawah paling banyak terkonversi menjadi pemukiman. Lahan di Kabupaten Cianjur memiliki tingkat kesesuaian lahan untuk sawah sesuai (S2) (9.53%), sesuai marjinal (S3) (29.28%) dan tidak sesuai (N) (61.19%). Saat ini, masih tersedia potensi lahan untuk perluasan sawah di Kabupaten Cianjur seluas 148,980 ha.

 

Kata kunci: Perubahan penggunaan lahan, prioritas potensi sawah, kesesuaian lahan untuk sawah
PEMETAAN BAHAYA BANJIR LAHAN SAWAH DI KABUPATEN KARAWANG
Authors: Tommi Tommi , Barus Baba , Dharmawan Arya Hadi
Published: March 2019

Kabupaten Karawang merupakan salah satu daerah yang sering terkena banjir berdasarkan data dari BNPB dari tahun 1815 – 2013 jumlah kejadian banjir di Kabupaten Karawang berada pada urutan ke-3 terbanyak. Banjir di Kabupaten Karawang membawa kerugian yang besar bagi petani, maka dari itu pemetaan tingkat bahaya banjir sangat diperlukan. Kabupaten Karawang berada pada urutan ke-3 jumlah kejadian banjir terbanyak di Jawa Barat. Secara nasional data dari BNPB menunjukkan Kabupaten Karawang menempati urutan ke-8 wilayah rawan bencana banjir. Tujuan dari penelitian ini menganalisis tingkat bahaya banjir lahan sawah di Kabupaten Karawang. Metode yang digunakan dalam menganalisis tingkat bahaya banjir dilakukan dengan overlay dan skoring dari peta sawah, peta curah hujan, peta drainase tanah, dan peta kejadian banjir. Hasil dari penelitian ini menunjukkan lahan sawah di Kabupaten Karawang yang memiliki tingkat bahaya banjir tinggi terdapat di Kecamatan Telukjambe Barat, Telukjambe Timur, dan Jayakerta.

 

Kata kunci: Bahaya, banjir, pemetaan
PENGOLAHAN DSM DENGAN INTERFEROMETRI SAR (InSAR) ANTARIKSA UNTUK MEKANISME PEMBANGUNAN BERSIH (MPB) PROTOKOL KYOTO
Authors: Raimadoya M. A. , Trisasongko B. H. , Shiddiq D. , Panuju D. R. , Maulida R.
Published: March 2019

Capacity development in biomass monitoring is a key action in the implementation of the Clean Development Mechanism of the Kyoto Protocol in developing countries like Indonesia. The objection of this research is to explore the processing of spaceborne InSAR for the construction of the Digital Surface Model (DSM). The research successfully completed the process by using two InSAR pairs: ERS-1 & ERS-2 tandem pass (completed) and ENVISAT repeat pass (coherence only). DSM product, after field validation, will be applied for SAR calibration in relation to biomass and carbon stock estimation.

Keywords: CDM, DSM, Kyoto Protocol, spaceborne InSAR
Efektivitas progressive muscle relaxation dengan zikir terhadap penurunan tekanan darah dan penurunan tingkat stres pada penderita hipertensi
Authors: Setyaningrum Niken , Badi’ah Atik , Badi’ah Atik
Published: March 2019

Latar Belakang: Hipertensi merupakan salah satu penyakit mematikan di dunia dan saat ini terdaftar sebagai penyakit pembunuh ketiga setelah penyakit jantung dan kanker. Berdasarkan sample registration survey tahun 2014 hipertensi merupakan penyebab kematian nomor lima di Indonesia. Berdasarkan WHO diperkirakan tahun 2025 angka kejadian hipertensi meningkat 29,2%. Hipertensi berkaitan dengan kualitas tidur dan tingkat stres karena berhubungan dengan respon saraf simpatis. Jika tidak diidentifikasi dengan baik hal tersebut dapat memperburuk kondisi penderita hipertensi. Hipertensi dapat dikontrol dengan terapi non farmakologi dengan menggunakan teknik relaksasi progressive muscle relaxation dengan zikir.Tujuan: Penelitian ini adalah untuk mengetahui efektifitas progressive muscle relaxation dengan zikir terhadap penurunan tekanan darah dan penurunan tingkat stres.Metode: Rancangan dalam penelitian ini menggunakan Quasi experimental Design with Comparison Group. Pengambilan sampel penelitian menggunakan purposive sampling. Penelitian dilakukan diwilayah kerja Puskesmas Gamping 2 Yogyakarta. Besar sampel dalam penelitian ini sebanyak 40 responden dengan pembagian sampel masing-masing 20 responden pada kelompok intervensi dan kelompok kontrol.Hasil: Terdapat perbedaan yang signifikan antara kelompok intervensi (PMR dan zikir) dengan kelompok kontrol (PMR) terhadap penurunan tekanan darah sistol (p<0,01), tekanan darah diastol (p<0,01) dan penurunan tingkat stres (p<0,05).Kesimpulan: Teknik progressive muscle relaxation dengan zikir yang dilakukan secara bersamaan dapat digunakan untuk menurunkan tekanan darah dan menurunkan tingkat stres.
Adaptasi gejala perimenopause dan pemenuhan kebutuhan seksual wanita usia 50-60 tahun
Authors: Koeryaman Mira Trisyani , Ermiati Ermiati
Published: March 2019

Latar Belakang: Perubahan fisik dan psikologis akibat perubahan hormonal pada masa perimenopause dapat menyebabkan ketidaknyamananTujuan: Penelitian ini bertujuan untuk melihat gambaran penanganan gejala perimenopause termasuk pemenuhan kebutuhan seksual pada wanita usia 50-60 tahun.Metode: Metode penelitian menggunakan deskriptif kuantitatif, sampel berjumlah 246 responden dengan pengelompokan sampel berdasarkan seksual aktif (n= 74) dan seksual tidak aktif (n=172). Penelitian dilakukan di di wilayah Kecamatan Rancaekek Kabupaten Bandung. Pengumpulan data melalui kuesioner terdiri 21 item tentang pemenuhan kebutuhan seksual dan 29 item menggali adaptasi perubahan gejala fisik dan psikologis masa perimenopause.Hasil: Hasil penelitian menunjukan sebagian besar wanita tidak terpenuhi pada aspek kebutuhan seksualnya, meliputi aspek gairah/minat seksual (82,43%), perangsangan arousal (66,21%), orgasme (75,67%) serta 56,75% mengalami disparenia. Data lainnya menunjukan bahwa sebagian besar para wanita usia 50-60 tahun dalam penanganan gejala perimenopause dalam kategori kurang baik, meliputi pengaturan nutrisi (58,14%), pengaturan aktivitas olahraga (65,69%), pengaturan aktivitas seksual (52,32%), pengaturan stress dan emosi (65,69%), pengaturan istirahat (50,58%), pengaturan pencarian informasi dan pelayanan kesehatan (58,72%).Kesimpulan: Berdasarkan hasil penelitian gambaran pengelolaan tanda dan gejala menopause para wanita masa perimenopause masih perlu penanganan yang tepat untuk mengurangi dampak komplikasi pada masa yang akan datang. Melalui program intervensi pengelolaan tanda dan gejala perimenopause diharapkan kualitas hidup wanita masa menopause meningkat.
PENGETAHUAN TERHADAP PERILAKU PERAWATAN KESEHATAN GIGI DAN MULUT PADA ANAK USIA 9-12 TAHUN DI SDN 27 PEMECUTAN DENPASAR
Authors: Dianmartha Carla , Kusumadewi Sari , Kurniawati Desak Putu Yuli
Published: March 2019

Background: One of the factors that can affect oral health is health behavior. One of the predisposing factors that influence behavior is knowledge. A person who is aware of the importance of oral health can be seen from their knowledge. The aim of this study is to determine the relationship between dental knowledge with their oral health care behavior in children age 9-12 years at SDN 27 Pemecutan Denpasar.Methods: Observasional research used cross sectional approach. The respondent in this research are 87 children age 9-12 years at SDN 27 Pemecutan Denpasar. The samples were taken by using systematic random sampling technique and questionnaire as the measuring instrument to know the level of dental knowledge and dental health care behaviour. Processing technique and data analysis used chi square statistic test.Results: The result of this research showed that the respondent who have ahigh level of knowledge had good behavior is 63,9%. Low knowledge level with less behavior was 80,8%. Respondents have good behaviour if the score of the questionnaire mean total value of questionnaire and respondents less behaviour if the score of the questionnaire < mean total value of questionnaire.Conclusions: It can be concluded there is a significant relationship between dental knowledge and oral health care behavior in children aged 9-12 years in SDN 27 Pemecutan Denpasar.
Digitalne kompetencije i treća životna dob
Authors: Lukačević Srđan , Radmilović Dino , Petr Balog Kornelija
Published: March 2019

Cilj. Cilj je ovoga rada pojasniti pojmove informacijske i informatičke pismenosti te važnost njihove primjene u svakodnevnom životu osoba treće životne dobi s ciljem smanjivanja njihove socijalne isključenosti. Rad prikazuje i rezultate istraživanja provedenog u sklopu projekta „Ukorak s vremenom – osnove rada na računalu“, kao i ulogu Gradske i sveučilišne knjižnice Osijek (GISKO) u osmišljavanju i provedbi programa navedenog projekta s ciljem postizanja informacijske uključenosti osoba treće životne dobi.
Metodologija. Rad donosi rezultate online anketnog istraživanja provedenog među polaznicima radionica na temu osnova rada na računalu namijenjenih osobama treće životne dobi. Istraživanje je provedeno na uzorku od 227 polaznika tečaja u razdoblju od travnja 2016. do lipnja 2018.
Rezultati. Rezultati istraživanja pokazali su velik napredak i samouvjerenost ispitanika kad su u pitanju njihova informatička i informacijska znanja. Prije tečaja 41,40 % polaznika svoje je znanje ocijenilo ocjenom nedovoljan (1), dok je nakon tečaja ocjenom 1 svoje znanje ocijenilo samo 0,40 % ispitanika. Također, korisnici su prije tečaja koristili internet za puno manje aktivnosti nego nakon tečaja. Čak 99,60 % polaznika tečaja ili namjerava preporučiti ga nekom od svojih prijatelja ili je to već učinilo, što svjedoči o percipiranoj korisnosti stečenih novih znanja i vještina.
Vrijednost. Ovo je prvi takav tečaj na području grada Osijeka i rezultati govore o potrebi osmišljavanja više projekata koji će uključivati osobe treće životne dobi i uporabu ICT-tehnologije.
Znanstvene i stručne publikacije Hrvatskoga knjižničarskog društva
Authors: Hebrang Grgić Ivana
Published: March 2019

Cilj. Cilj je rada opisati ulogu nakladničke djelatnosti Hrvatskoga knjižničarskog društva (HKD) te istražiti navike i interese čitatelja publikacija koje objavljuje HKD.
Pristup/metodologija/dizajn. Na temelju dostupne literature i ranijih istraživanja prikazuje se nakladnička djelatnost HKD-a. Metodom analize sadržaja mrežnih stranica i uvidom u publikacije prikupljeni su podaci o znanstvenom, odnosno stručnom karakteru publikacija. Metodom online upitnika ispitani su čitatelji publikacija HKD-a o svojim čitateljskim navikama i interesima. Anketa je distribuirana članovima i nečlanovima HKD-a koji su zaposleni u raznim vrstama hrvatskih knjižnica.
Rezultati. Prvi dio istraživanja pokazao je da je udio znanstvenih i stručnih publikacija, odnosno članaka podjednak, ali se posljednjih nekoliko godina zamjećuje tendencija porasta broja znanstvenih publikacija, odnosno članaka. Anketno istraživanje pokazalo je da je interes za publikacije HKD-a velik – ispitanici redovito čitaju i u svakodnevnom radu koriste sve publikacije HKD-a, mnogi su ispitanici i autori priloga ili su zainteresirani to postati. Vjesnik bibliotekara Hrvatske (VBH) povremeno ili redovito čita više od 97 % ispitanika, a HKD Novosti više od 93 % ispitanika. Knjige u izdanju HKD-a u svakodnevnom radu i cjeloživotnom obrazovanju koristi 91 % ispitanika. Nakladnička djelatnost HKD-a jedna je od temeljnih djelatnosti Društva i od velikoga je značaja za razvoj knjižničarske struke, ali i znanstvene grane knjižničarstvo unutar polja informacijskih i komunikacijskih znanosti.
Originalnost/vrijednost. Analizom je dokazano da HKD sve češće objavljuje znanstvene publikacije, pa se stoga može smatrati i znanstvenom, a ne samo stručnom, udrugom. Nakladnička djelatnost HKD-a ima dugu tradiciju, ali se s vremenom susreće s problemima pri produkciji publikacija. Rezultati istraživanja mogu pomoći u rješavanju opisanih problema i planiranju nakladničke djelatnosti.
Stručno usavršavanje knjižničara knjižničnog sustava Sveučilišta u Rijeci
Authors: Kosić Sanja , Heberling Dragičević Sanja
Published: March 2019

Cilj. Cilj je rada prikazati opću sliku stanja stručnog usavršavanja knjižničarskog osoblja stalno zaposlenog u knjižnicama sastavnica Sveučilišta u Rijeci, a koje zajedno čine Sveučilišni riječki knjižnični sustav (SveRiKS). Nastoje se utvrditi problemi u realizaciji stručnog usavršavanja te mogućnosti njihova prevladavanja u ovkiru SveRiKS-a, kao i potrebe stručnog usavršavanja u budućnosti.
Pristup/metodologija/dizajn. Na temelju podataka o realiziranim programima cjeloživotnog učenja namijenjenim knjižničarskom osoblju SveRiKS-a u razdoblju 2013.–2017. provedeno je anketno ispitivanje kako bi se utvrdili stavovi i mišljenja samih knjižničara o stručnom usavršavanju u promatranom razdoblju, preprekama na koje nailaze te potrebama i poželjnom načinu realizacije u budućnosti.
Rezultati. Rezultati istraživanja pokazuju da se programi stručnog usavršavanja knjižničarskog osoblja SveRiKS-a provode redovito, a sadržaji edukacija u skladu su s promjenama i zahtjevima okruženja. Knjižničarsko osoblje kontinuirano se stručno usavršava te jasno procjenjuje probleme i svoje potrebe u kontekstu cjeloživotnog učenja. Podaci ukazuju na to da temeljne knjižničarske kompetencije više nisu dovoljne za poslove koji se obavljaju, a kraće edukacije s temama izravno primjenjivim na konkretne poslove pokazuju se kao jedno od rješenja.
Originalnost/vrijednost. Provedeno istraživanje za Sveučilišnu knjižnicu Rijeka predstavlja polazište u promišljanju programa stručnog usavršavanja za knjižničarsko osoblje knjižničnog sustava Sveučilišta u Rijeci u narednom razdoblju, ali i za argumentirano zauzimanje stava prema osnivaču s ciljem njegova usustavljivanja.