bluuebunny/crossref_metadata_2025_split huggingface dataset:
Information visualization techniques for presenting Qur'an histories and atlas
Authors: Raja-Yusof Raja-Jamilah , Akmal Jananatul , Jomhari Nazean 
Published: October 2013

Purpose
– The purpose of this paper is to study suitable visualization techniques representing Qur'an history and atlas. It focuses on analyzing the effectiveness of the concept map and the hyperbolic tree visualization techniques.

Design/methodology/approach
– The effectiveness is measured in the aspects of the task time to complete a search based on questions provided. The task time is predicted using a task analysis technique called keystroke level model – goal operator methods and selection rules (KLM-GOMS). It is suitable to produce the hypothesis of which visualization techniques are able to maneuver the users to complete the task goals in the shortest time. The scope presented is the histories and locations related to selected chapters in part 30 of the Qur'an.

Findings
– Hyperbolic tree is more time effective compared with concept map visualization technique. Concept map visualization system has been voted as the most satisfying visualization technique even though the difference is only 1.3 seconds. The more important aspect for this analysis is the presentation of the information. Information should be presented clearly rather than hidden although the hidden function should be provided for users to use. However, both techniques are predicted to support conceptual understanding.

Research limitations/implications
– The focus of the analysis was data structure and how to get to the right nodes before retrieving the final output.

Social implications
– Assisting developers of Qur'anic systems therefore improves the effectiveness of users of Qur'anic system in finding information.

Originality/value
– Analysis on visualization techniques in context Qur'an history and atlas using KLM-GOMS study in terms of locations that lead to the birth of various chapters in Qur'an is rarely being discussed. Previous studies focus on development and implementation of textual Qur'an systems while this study focuses on user analysis using techniques mentioned above.
Automated tajweed checking rules engine for Quranic learning
Authors: Jamaliah Ibrahim Noor , Yamani Idna Idris Mohd , Razak Zaidi , Naemah Abdul Rahman Noor 
Published: October 2013

Purpose
– The purpose of this paper is to provide a structural overview of speech recognition system for developing Quranic verse recitation recognition with tajweed checking rules function. This function has been introduced, due to support the existing and manual method of talaqqi and musyafahah method in Quranic learning process, which described as face-to-face learning process between students and teachers. Here, the process of listening, correction and repetition of the correct Al-Quran recitation took place in real-time condition. However, this method is believed to become less effective and unattractive to be implemented, especially towards the young Muslim generation who are more attracted to the latest technology.

Design/methodology/approach
– This paper focuses on the development of software prototype, mainly for developing an automated Tajweed checking rules engine, purposely for Quranic learning. It has been implemented and tested towards the j-QAF students at primary school in Malaysia.

Findings
– The paper provides empirical insight about the viability and implementation of Mel-frequency cepstral coefficients (MFCC) algorithm of feature extraction technique and hidden Markov model (HMM) classification for recognition part, with the results of recognition rate reached to 91.95 percent (ayates) and 86.41 percent (phonemes), after been tested on sourate Al-Fatihah.

Originality/value
– Based on the result, proved that the engine has a potential to be used as an educational tool, which helps the students read Al-Quran better, even without the presence of teachers (Mudarris)/parents to monitor them. Automated system with Tajweed checking rules capability functions could be another alternative due to support the existing method of manual skills of Quranic learning process, without denying the main role of teachers in teaching Al-Quran.
A public trust: libraries and data curation
Authors: Medeiros Norm 
Published: October 2013

Purpose
– This article aims to describe a curatorial role for libraries regarding data and other digital objects supplemental to published papers.

Design/methodology/approach
– The article focuses on an undergraduate project that incorporates a data management component as part of a larger protocol.

Findings
– The article finds that instructors value partnering with librarians, especially in cases where digital object description and management are required.

Originality/value
– The article provides a case study of a faculty/librarian collaboration that supports pedagogical and data management principles.
The art and science of data curation
Authors: Fox Robert 
Published: October 2013

Purpose
– For the past decade, as universities have increased their research commitments, the production of large data sets has become prevalent. Up to this point, the storage and curation of these data sets has been somewhat ad hoc and voluntary. Given recent mandatory stipulations coming from government funding sources regarding the handling of data sets, it is imperative that libraries step into this gap and provision data management services for their institutions. This column aims to explore two primary areas in which libraries can provision services for their parent institutions regarding data management.

Design/methodology/approach
– The column is exploratory in nature.

Practical implications
– As academic libraries take the lead in data management services, there are many positive implications for their parent institutions. Organizing and preserving important data sets could have a significant impact on the worldwide research community.

Originality/value
– All academic libraries, no matter their size, have a level of responsibility regarding the collection and curation of data sets. This is a responsibility not only to the local institution, but also to the wider scope of researchers who may make use of those data sets. This column is an exhortation for academic libraries to take the lead in the area of data management.
The logistics service providers in eco-efficiency innovation: an empirical study
Authors: Rossi Silvia , Colicchia Claudia , Cozzolino Alessandra , Christopher Martin 
Published: October 2013

Purpose– Sustainability and the search for solutions that are both efficient and ecologically sound (eco-efficient) have become topics of great interest. However, companies seeking to develop supply chain solutions that are eco-efficient are often hampered by their ability to control the wider supply chain and they may need to draw on external support from logistics service providers (LSPs). This paper aims to explore the innovative strategies undertaken by LSPs in the eco-efficiency arena and the logistics and learning capabilities needed to achieve eco-efficiency in supply chains.Design/methodology/approach– The insights derived from a systematic literature review approach to identify the most relevant articles to be included in the analysis represented the starting point for building the authors empirical investigation, based on case studies with in-depth interviews to investigate the phenomenon under consideration and to explore trends and evolving paradigms.Findings– The systematic literature review enriches the existing literature by drawing on three bodies of knowledge, i.e. logistics service providers, eco-efficiency and logistics innovation, and putting them into a single framework. The findings from the interviews suggest that although LSPs are well placed to implement innovative initiatives for eco-efficiency there is a range of inhibitors that prevent major change programmes.Research limitations/implications– The research reported in this paper is exploratory and limited in its scope. It is based on in-depth interviews within six companies. However, it does provide a platform from which more detailed research may be conducted.Practical implications– The managerial implications arising from the research offer a wide range of current practices in sustainability, from which strategic and operative directions to compete can be derived.Originality/value– There is little existing literature that addresses the innovative strategies undertaken by LSPs in influencing and moving supply chains towards eco-efficiency and hence the present paper is meant to help fill this gap.
Supply and demand chain management: the effect of adding services to product offerings
Authors: F. Bustinza Oscar , C. Parry Glenn , Vendrell-Herrero Ferran 
Published: October 2013

Purpose
– The purpose of this paper is to understand how firms manage their product and service offerings, integrating supply chain management (SCM) and demand chain management (DCM) strategies. Adding services to the product portfolio of a firm may bring benefits to an organisation, but requires a reconsideration of the supply chain management approach.

Design/methodology/approach
– A survey is used to collect data, with valid questionnaires obtained for 4,227 UK-based respondents. Empirical analysis utilises structural equation modelling (SEM).

Findings
– The paper proposes that a combination of management approaches is required by firms which add services to their portfolio of traditional product offerings. A supply chain management approach may be suitable for traditional product offerings. The management of the services value chain, where the customers' role as value creator is a central feature of the construct, is better served by integration of the market orientation of DCM.

Originality/value
– The paper addresses a research gap related to the shift in traditional activities carried out by a firm moving from purely product to a product service offer and reconsiders the supply and demand chain management approach. The paper is from a Business to Consumer (B2C) perspective. In this context, the work pioneers analysis into a particular case where a firm's product and service offerings may be substitutes for each other in the eyes of the customer.
Shade‐grown cacao supports a self‐sustaining population of two‐toed but not three‐toed sloths
Authors: Peery M. Zachariah , Pauli Jonathan N. 
Published: October 2013

Summary

The development of shade‐grown agro‐ecosystems has increasingly been identified as a strategy for conserving tropical biodiversity. While biodiversity tends to be higher in agro‐ecosystems than in monocultures, the extent to which shade‐grown crops support viable populations of sensitive and specialized tropical species has not been assessed.

We conducted a comparative demographic study between Hoffmann's two‐toed sloth Choloepus hoffmanni and the brown‐throated three‐toed sloth Bradypus variegatus in a shade‐grown cacao farm in Costa Rica.

Choloepus hoffmanni bred year‐round, whereas B. variegatus bred seasonally, with females giving birth to young over a 6‐month period peaking in late February. Relatively short time to offspring independence allowed B. variegatus females to breed annually, but longer periods of maternal care prevented C. hoffmanni from doing so.

Annual survival rates for adult males of both species derived from radiomarking and known fates models were high (>0·90). Most adult mortality was the result of predation by domestic dogs Canis lupus familiaris and coyotes Canis latrans.

Estimates of population growth rates derived from a matrix population model indicated that the abundance of C. hoffmanni, but not B. variegatus, was stable in the absence of immigration. However, genetic parentage methods indicated that significant immigration of B. variegatus into the study area occurred and that the local population may be stable.

Synthesis and applications. Our results suggest that shade‐grown crops embedded within an agro‐ecosystem can support viable populations of some specialized tropical animals; other species, however, may require immigration from surrounding forests to maintain stable populations. More broadly, the value of human‐modified landscapes for biodiversity may be overestimated when some species are dependent on immigration from intact habitats.
Management Forecast Consistency
Authors: HILARY GILLES , HSU CHARLES , WANG RENCHENG 
Published: October 2013

ABSTRACTWe posit that management forecasts, which are predictable transformations of realized earnings without random errors, are more informative than unbiased forecasts, which manifest small but unpredictable errors, even if biased forecasts are less accurate. Consistent with this intuition, we find that managers who make consistent forecasting errors have a greater ability to influence investor reactions and analyst revisions, even after controlling for the effect of accuracy. This effect is more economically significant and statistically robust than that of forecast accuracy. More sophisticated investors and experienced analysts are found to have a better understanding of the benefits of consistent management forecasts.
Defining the Public Health Threat of Dietary Supplement Fraud
Authors: Wheatley Virginia M. , Spink John 
Published: October 2013

Abstract Adverse health events resulting from dietary supplement fraud (DSF)—fraud conducted for economic gain using dietary supplements—have received increased recognition from agencies and industry. There is a growing awareness that this issue represents a significant public health threat. With increasing consumption of supplements, there are increasing consequences—good and bad—for food science and food safety. “Dietary supplements” are a special category of food that consists of finished products (for example, a vitamin D tablet) that contain 1 or more dietary ingredients. “Dietary ingredients” are the components of those finished products (for example, vitamin D added to a food product such as breakfast cereal). Due to a number of factors, potentially harmful dietary supplements reach—and often remain—in the market. DSF is a type of product fraud, as is food fraud, which is often classified by the U.S. Food and Drug Administration as Economically Motivated Adulteration (EMA). Since the adulterants are unconventional, DSF may represent an even greater public health threat than traditional dietary supplement safety issues (though it is important to note that adulteration is only one type of fraud). Criminology concepts such as situational crime prevention and the crime triangle deepen understanding of the relationship of fraud opportunity as it relates to fraudsters and established hurdles to fraud. The purpose of this research is to provide a comprehensive overview on the public health threat of DSF, and to focus on altering current intervention and response‐based approaches that are prevention‐based.
Insect host–parasite coevolution in the light of experimental evolution
Authors: Kerstes Niels A. G. , Martin Oliver Y. 
Published: October 2013

AbstractThe many ways parasites can impact their host species have been the focus of intense study using a range of approaches. A particularly promising but under‐used method in this context is experimental evolution, because it allows targeted manipulation of known populations exposed to contrasting conditions. The strong potential of applying this method to the study of insect hosts and their associated parasites is demonstrated by the few available long‐term experiments where insects have been exposed to parasites. In this review, we summarize these studies, which have delivered valuable insights into the evolution of resistance in response to parasite pressure, the underlying mechanisms, as well as correlated genetic responses. We further assess findings from relevant artificial selection studies in the interrelated contexts of immunity, life history, and reproduction. In addition, we discuss a number of well‐studied Tribolium castaneum–Nosema whitei coevolution experiments in more detail and provide suggestions for research. Specifically, we suggest that future experiments should also be performed using nonmodel hosts and should incorporate contrasting experimental conditions, such as population sizes or environments. Finally, we expect that adding a third partner, for example, a second parasite or symbiont, to a host–parasite system could strongly impact (co)evolutionary dynamics.
Role of premixed insulin analogues in the treatment of patients with type 2 diabetes mellitus: A narrative review (预混胰岛素类似物在2型糖尿病治疗中的作用：叙述性综述)
Authors: Elizarova Svetlana , Galstyan Gagik R. , Wolffenbuttel Bruce H.R. 
Published: October 2013

AbstractBecause of the progressive nature of type 2 diabetes mellitus (T2DM), insulin therapy will eventually become necessary in most patients. Recent evidence suggests that maintaining optimal glycemic control by early insulin therapy can reduce the risk of microvascular and macrovascular complications in patients with T2DM. The present review focuses on relevant clinical evidence supporting the use of premixed insulin analogues in T2DM when intensifying therapy, and as starter insulins in insulin‐naïve patients. Our aim is to provide relevant facts and clinical evidence useful in the decision‐making process of treatment selection and individualized treatment goal setting to obtain sustained blood glucose control.
StreamingTrim 1.0: a Java software for dynamic trimming of 16S rRNA sequence data from metagenetic studies
Authors: Bacci G. , Bazzicalupo M. , Benedetti A. , Mengoni A. 
Published: October 2013

AbstractNext‐generation sequencing technologies are extensively used in the field of molecular microbial ecology to describe taxonomic composition and to infer functionality of microbial communities. In particular, the so‐called barcode or metagenetic applications that are based on PCR amplicon library sequencing are very popular at present. One of the problems, related to the utilization of the data of these libraries, is the analysis of reads quality and removal (trimming) of low‐quality segments, while retaining sufficient information for subsequent analyses (e.g. taxonomic assignment). Here, we present StreamingTrim, a DNA reads trimming software, written in Java, with which researchers are able to analyse the quality of DNA sequences in fastq files and to search for low‐quality zones in a very conservative way. This software has been developed with the aim to provide a tool capable of trimming amplicon library data, retaining as much as taxonomic information as possible. This software is equipped with a graphical user interface for a user‐friendly usage. Moreover, from a computational point of view, StreamingTrim reads and analyses sequences one by one from an input fastq file, without keeping anything in memory, permitting to run the computation on a normal desktop PC or even a laptop. Trimmed sequences are saved in an output file, and a statistics summary is displayed that contains the mean and standard deviation of the length and quality of the whole sequence file. Compiled software, a manual and example data sets are available under the BSD‐2‐Clause License at the GitHub repository at https://github.com/GiBacci/StreamingTrim/.
DNA metabarcoding multiplexing and validation of data accuracy for diet assessment: application to omnivorous diet
Authors: De Barba M. , Miquel C. , Boyer F. , Mercier C. , Rioux D. , Coissac E. , Taberlet P. 
Published: October 2013

AbstractEcological understanding of the role of consumer–resource interactions in natural food webs is limited by the difficulty of accurately and efficiently determining the complex variety of food types animals have eaten in the field. We developed a method based on DNA metabarcoding multiplexing and next‐generation sequencing to uncover different taxonomic groups of organisms from complex diet samples. We validated this approach on 91 faeces of a large omnivorous mammal, the brown bear, using DNA metabarcoding markers targeting the plant, vertebrate and invertebrate components of the diet. We included internal controls in the experiments and performed PCR replication for accuracy validation in postsequencing data analysis. Using our multiplexing strategy, we significantly simplified the experimental procedure and accurately and concurrently identified different prey DNA corresponding to the targeted taxonomic groups, with ≥60% of taxa of all diet components identified to genus/species level. The systematic application of internal controls and replication was a useful and simple way to evaluate the performance of our experimental procedure, standardize the selection of sequence filtering parameters for each marker data and validate the accuracy of the results. Our general approach can be adapted to the analysis of dietary samples of various predator species in different ecosystems, for a number of conservation and ecological applications entailing large‐scale population level diet assessment through cost‐effective screening of multiple DNA metabarcodes, and the detection of fine dietary variation among samples or individuals and of rare food items.
Incomplete specimens in geometric morphometric analyses
Authors: Arbour Jessica H. , Brown Caleb M. 
Published: October 2013

Summary

The analysis of morphological diversity frequently relies on the use of multivariate methods for characterizing biological shape. However, many of these methods are intolerant of missing data, which can limit the use of rare taxa and hinder the study of broad patterns of ecological diversity and morphological evolution. This study applied a mutli‐data set approach to compare variation in missing data estimation and its effect on geometric morphometric analyses across taxonomically variable groups, landmark position and sample sizes.

Missing morphometric landmark data were simulated from five real, complete data sets, including modern fish, primates and extinct theropod dinosaurs. Missing landmarks were then estimated using several standard approaches and a geometric‐morphometric‐specific method. The accuracy of missing data estimation was determined for each estimation method, landmark position and morphological data set. Procrustes superimposition was used to compare the eigenvectors and principal component scores of a geometric morphometric analysis of the original landmark data, to data sets with A) missing values estimated, or B) simulated incomplete specimens excluded, for varying levels of specimens incompleteness and sample sizes.

Standard estimation techniques were more reliable estimators and had lower impacts on morphometric analysis compared with a geometric‐morphometric‐specific estimator. For most data sets and estimation techniques, estimating missing data produced a better fit to the structure of the original data than exclusion of incomplete specimens, and this was maintained even at considerably reduced sample sizes. The impact of missing data on geometric morphometric analysis was disproportionately affected by the most fragmentary specimens.

Missing data estimation was influenced by variability of specific anatomical features and may be improved by a better understanding of shape variation present in a data set. Our results suggest that the inclusion of incomplete specimens through the use of effective missing data estimators better reflects the patterns of shape variation within a data set than using only complete specimens; however, the effectiveness of missing data estimation can be maximized by excluding only the most incomplete specimens. It is advised that missing data estimators be evaluated for each data set and landmark independently, as the effectiveness of estimators can vary strongly and unpredictably between different taxa and structures.