MyMedR

Displaying publications 1 - 20 of 40 in total

Abstract:

Sort:

Fulltext FuGeF: A Resource Bound Secure Forwarding Protocol for Wireless Sensor Networks

Umar IA, Mohd Hanapi Z, Sali A, Zulkarnain ZA

Sensors (Basel), 2016 Jun 22;16(6).
PMID: 27338411 DOI: 10.3390/s16060943

Resource bound security solutions have facilitated the mitigation of spatio-temporal attacks by altering protocol semantics to provide minimal security while maintaining an acceptable level of performance. The Dynamic Window Secured Implicit Geographic Forwarding (DWSIGF) routing protocol for Wireless Sensor Network (WSN) has been proposed to achieve a minimal selection of malicious nodes by introducing a dynamic collection window period to the protocol's semantics. However, its selection scheme suffers substantial packet losses due to the utilization of a single distance based parameter for node selection. In this paper, we propose a Fuzzy-based Geographic Forwarding protocol (FuGeF) to minimize packet loss, while maintaining performance. The FuGeF utilizes a new form of dynamism and introduces three selection parameters: remaining energy, connectivity cost, and progressive distance, as well as a Fuzzy Logic System (FLS) for node selection. These introduced mechanisms ensure the appropriate selection of a non-malicious node. Extensive simulation experiments have been conducted to evaluate the performance of the proposed FuGeF protocol as compared to DWSIGF variants. The simulation results show that the proposed FuGeF outperforms the two DWSIGF variants (DWSIGF-P and DWSIGF-R) in terms of packet delivery.

Matched MeSH terms: Semantics
Need for developing a security robot-based risk management for emerging practices in the workplace using the Advanced Human-Robot Collaboration Model

Zheyuan C, Rahman MA, Tao H, Liu Y, Pengxuan D, Yaseen ZM

Work, 2021;68(3):825-834.
PMID: 33612525 DOI: 10.3233/WOR-203416

BACKGROUND: The increasing use of robotics in the work of co-workers poses some new problems in terms of occupational safety and health. In the workplace, industrial robots are being used increasingly. During operations such as repairs, unmanageable, adjustment, and set-up, robots can cause serious and fatal injuries to workers. Collaborative robotics recently plays a rising role in the manufacturing filed, warehouses, mining agriculture, and much more in modern industrial environments. This development advances with many benefits, like higher efficiency, increased productivity, and new challenges like new hazards and risks from the elimination of human and robotic barriers.
OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace.
RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk.
CONCLUSION: Through an experiment in the field of human subjects, demonstrated that policies based on the proposed model improved the efficiency of the human-robot team significantly compared with policies assuming complete human-robot adaptation.

Matched MeSH terms: Semantics
Neural activation patterns and connectivity in visual attention during number and non-number processing: An ERP study using Ishihara pseudoisochromatic plates

Al-Marri F, Reza F, Begum T, Hitam WHW, Jin GK, Xiang J

J Integr Neurosci, 2018 Aug 15;17(3):257-269.
PMID: 30338955 DOI: 10.31083/JIN-170058

Visual cognitive function is important in the construction of executive function in daily life. Perception of visual number form (e.g. Arabic digits) and numerosity (numeric magnitude) is of interest to cognitive neuroscientists. Neural correlates and the functional measurement of number representations are complex events when their semantic categories are assimilated together with concepts of shape and color. Color perception can be processed further to modulate visual cognition. The Ishihara pseudoisochromatic plates are one of the best and most common screening tools for basic red-green color vision testing. However, there has been little study of visual cognitive function assessment using such pseudoisochromatic plates. 25 healthy normal trichromat volunteers were recruited and studied using a 128-sensor net to record event-related electroencephalogram. Subjects were asked to respond by pressing numbered buttons when they saw the number and non-number plates of the Ishihara color vision test. Amplitudes and latencies of N100 and P300 event related potential components were analyzed from 19 electrode sites in the international 10-20 system. A brain topographic map, cortical activation patterns, and Granger causation (effective connectivity) were analyzed from 128 electrode sites. No significant differences between N100 event related potential components for either stimulus indicates early selective attention processing was similar for number and non-number plate stimuli, but non-number plate stimuli evoked significantly higher amplitudes, longer latencies of the P300 event related potential component with a slower reaction time compared to number plate stimuli imply the allocation of attentional load was more in non-number plate processing. A different pattern of the asymmetric scalp voltage map was noticed for P300 components with a higher intensity in the left hemisphere for number plate tasks and higher intensity in the right hemisphere for non-number plate tasks. Asymmetric cortical activation and connectivity patterns revealed that number recognition occurred in the occipital and left frontal areas where as the consequence was limited to the occipital area during the non-number plate processing. Finally, results demonstrated that the visual recognition of numbers dissociates from the recognition of non-numbers at the level of defined neural networks. Number recognition was not only a process of visual perception and attention, but was also related to a higher level of cognitive function, that of language.

Matched MeSH terms: Semantics
The effects of search-irrelevant working memory content on visual search

Calleja MO, Willoughby AR

Atten Percept Psychophys, 2023 Feb;85(2):293-300.
PMID: 36596986 DOI: 10.3758/s13414-022-02634-9

Previous experiments investigating visual search have shown that distractors that are semantically related to a search target can capture attention and slow the search process. In two experiments, we examine if distractors exactly matching, or semantically related to, search-irrelevant information held in working memory (WM) can also influence visual search while ruling out potential effects of color similarity. Participants first viewed and memorized an image of an everyday object, then they determined if a target item was present or absent in a two-object search array. On exact-match trials, the memorized object appeared as a distractor; on semantic-match trials, an object semantically related to the memorized object appeared as a distractor. Both exact-match and semantic-match distractors slowed search when the target was present in the search array. Our findings extend previous findings by demonstrating WM-driven attentional guidance by complex objects rather than simple features. The results also suggest that visual search can be influenced by distractors sharing only semantic features with a search-irrelevant, but active, WM representation.

Matched MeSH terms: Semantics
Fulltext Visualizing hyperactivation in neurodegeneration based on prefrontal oxygenation: a comparative study of mild alzheimer's disease, mild cognitive impairment, and healthy controls

Yap KH, Ung WC, Ebenezer EGM, Nordin N, Chin PS, Sugathan S, et al.

Front Aging Neurosci, 2017;9:287.
PMID: 28919856 DOI: 10.3389/fnagi.2017.00287

Background: Cognitive performance is relatively well preserved during early cognitive impairment owing to compensatory mechanisms. Methods: We explored functional near-infrared spectroscopy (fNIRS) alongside a semantic verbal fluency task (SVFT) to investigate any compensation exhibited by the prefrontal cortex (PFC) in Mild Cognitive Impairment (MCI) and mild Alzheimer's disease (AD). In addition, a group of healthy controls (HC) was studied. A total of 61 volunteers (31 HC, 12 patients with MCI and 18 patients with mild AD) took part in the present study. Results: Although not statistically significant, MCI exhibited a greater mean activation of both the right and left PFC, followed by HC and mild AD. Analysis showed that in the left PFC, the time taken for HC to achieve the activation level was shorter than MCI and mild AD (p = 0.0047 and 0.0498, respectively); in the right PFC, mild AD took a longer time to achieve the activation level than HC and MCI (p = 0.0469 and 0.0335, respectively); in the right PFC, HC, and MCI demonstrated a steeper slope compared to mild AD (p = 0.0432 and 0. 0107, respectively). The results were, however, not significant when corrected by the Bonferroni-Holm method. There was also found to be a moderately positive correlation (R = 0.5886) between the oxygenation levels in the left PFC and a clinical measure [Mini-Mental State Examination (MMSE) score] in MCI subjects uniquely. Discussion: The hyperactivation in MCI coupled with a better SVFT performance may suggest neural compensation, although it is not known to what degree hyperactivation manifests as a potential indicator of compensatory mechanisms. However, hypoactivation plus a poorer SVFT performance in mild AD might indicate an inability to compensate due to the degree of structural impairment. Conclusion: Consistent with the scaffolding theory of aging and cognition, the task-elicited hyperactivation in MCI might reflect the presence of compensatory mechanisms and hypoactivation in mild AD could reflect an inability to compensate. Future studies will investigate the fNIRS parameters with a larger sample size, and their validity as prognostic biomarkers of neurodegeneration.

Matched MeSH terms: Semantics
Fulltext The semantic basis of taste-shape associations

Velasco C, Woods AT, Marks LE, Cheok AD, Spence C

PeerJ, 2016;4:e1644.
PMID: 26966646 DOI: 10.7717/peerj.1644

Previous research shows that people systematically match tastes with shapes. Here, we assess the extent to which matched taste and shape stimuli share a common semantic space and whether semantically congruent versus incongruent taste/shape associations can influence the speed with which people respond to both shapes and taste words. In Experiment 1, semantic differentiation was used to assess the semantic space of both taste words and shapes. The results suggest a common semantic space containing two principal components (seemingly, intensity and hedonics) and two principal clusters, one including round shapes and the taste word "sweet," and the other including angular shapes and the taste words "salty," "sour," and "bitter." The former cluster appears more positively-valenced whilst less potent than the latter. In Experiment 2, two speeded classification tasks assessed whether congruent versus incongruent mappings of stimuli and responses (e.g., sweet with round versus sweet with angular) would influence the speed of participants' responding, to both shapes and taste words. The results revealed an overall effect of congruence with congruent trials yielding faster responses than their incongruent counterparts. These results are consistent with previous evidence suggesting a close relation (or crossmodal correspondence) between tastes and shape curvature that may derive from common semantic coding, perhaps along the intensity and hedonic dimensions.

Matched MeSH terms: Semantics
Fulltext A systematic translation and cultural adaptation process for Three-Factor Eating Questionnaire (TFEQ-R21)

Rosnah I, Noor Hassim I, Shafizah AS

Med J Malaysia, 2013 Oct;68(5):424-34.
PMID: 24632873 MyJurnal

INTRODUCTION: The Three-Factor Eating Questionnaire was first constructed to measure eating behavior in an English population in the United States. It has been validated and translated for various populations in different languages. The aim of this article is to describe a systematic process for translating the questionnaire from English to Malay language.

METHODOLOGY: The report of the International Society for Pharmacoeconomics and Outcome Research (ISPOR) Task Force was used as the basis for the systematic translation process. The process began with preparation; followed by forward translation (2 independent translators), reconciliation, back translation (2 independent translators), back translation review, harmonization, cognitive debriefing, review of cognitive debriefing results and finalization, proofreading; and ended with the final report. Four independent Malay translators who fluent in English and reside in Malaysia were involved in the process. A team of health care researchers had assisted the review of the new translated questionnaires.

RESULTS: Majority of the TFEQ-R21 items were experiencing, conceptually and semantically equivalence between original English and translated English. However, certain phrase such as "feels like bottomless pit" was difficult to translate by forward translators. Cognitive debriefing was a very helpful process to ensure the TFEQ-R21 Malay version was appropriate in term of wording and culturally accepted. A total of four redundant comments in regards to response scale wording, word confusion and wording arrangement.

CONCLUSION: The systematic translation process is a way to reduce the linguistic discrepancies between the English and Malay language in order to promote equivalence and culturally adapted TFEQ-R21 questionnaire.

Matched MeSH terms: Semantics
Fulltext Automatic medical X-ray image classification using annotation

Zare MR, Mueen A, Seng WC

J Digit Imaging, 2014 Feb;27(1):77-89.
PMID: 24092327 DOI: 10.1007/s10278-013-9637-0

The demand for automatically classification of medical X-ray images is rising faster than ever. In this paper, an approach is presented to gain high accuracy rate for those classes of medical database with high ratio of intraclass variability and interclass similarities. The classification framework was constructed via annotation using the following three techniques: annotation by binary classification, annotation by probabilistic latent semantic analysis, and annotation using top similar images. Next, final annotation was constructed by applying ranking similarity on annotated keywords made by each technique. The final annotation keywords were then divided into three levels according to the body region, specific bone structure in body region as well as imaging direction. Different weights were given to each level of the keywords; they are then used to calculate the weightage for each category of medical images based on their ground truth annotation. The weightage computed from the generated annotation of query image was compared with the weightage of each category of medical images, and then the query image would be assigned to the category with closest weightage to the query image. The average accuracy rate reported is 87.5 %.

Matched MeSH terms: Semantics
Fulltext A cybertaxonomic revision of the micro-landsnail genus Plectostoma Adam (Mollusca, Caenogastropoda, Diplommatinidae), from Peninsular Malaysia, Sumatra and Indochina

Liew TS, Vermeulen JJ, Marzuki ME, Schilthuizen M

Zookeys, 2014.
PMID: 24715783 DOI: 10.3897/zookeys.393.6717

Plectostoma is a micro land snail restricted to limestone outcrops in Southeast Asia. Plectostoma was previously classified as a subgenus of Opisthostoma because of the deviation from regular coiling in many species in both taxa. This paper is the first of a two-part revision of the genus Plectostoma, and includes all non-Borneo species. In the present paper, we examined 214 collection samples of 31 species, and obtained 62 references, 290 pictures, and 155 3D-models of 29 Plectostoma species and 51 COI sequences of 19 species. To work with such a variety of taxonomic data, and then to represent it in an integrated, scaleable and accessible manner, we adopted up-to-date cybertaxonomic tools. All the taxonomic information, such as references, classification, species descriptions, specimen images, genetic data, and distribution data, were tagged and linked with cyber tools and web servers (e.g. Lifedesks, Google Earth, and Barcoding of Life Database). We elevated Plectostoma from subgenus to genus level based on morphological, ecological and genetic evidence. We revised the existing 21 Plectostoma species and described 10 new species, namely, P. dindingensis sp. n., P. mengaburensis sp. n., P. whitteni sp. n., P. kayiani sp. n., P. davisoni sp. n., P. relauensis sp. n., P. kubuensis sp. n., P. tohchinyawi sp. n., P. tenggekensis sp. n., and P. ikanensis sp. n. All the synthesised, semantic-tagged, and linked taxonomic information is made freely and publicly available online.

Matched MeSH terms: Semantics
The authorship of Neolissochilus soro (Cypriniformes: Cyprinidae): a correction to Khaironizam et al. (2015)

Scharpf C

Zootaxa, 2015;3986(4):499-500.
PMID: 26250205 DOI: 10.11646/zootaxa.3986.4.10

In a meristic, morphometric and distributional study of Neolissochilus from Peninsular Malaysia, Khaironizam et al. (2015) subsumed Lissochilus tweediei Herre in Herre & Myers 1937 and a taxon they called "Tor soro Bishop 1973" into the synonymy of N. soroides (Duncker 1904) based on data collected from museum specimens. However, "Bishop 1973" is not the correct author citation for Tor soro. Instead, Tor (now placed in Neolissochilus) soro was originally described as Barbus soro by Valenciennes in Cuvier & Valenciennes (1842:191). Since "Tor soro Bishop 1973" is not a valid name/author combination, Neolissochilus soro, as treated by Khaironizam et al. (2015), cannot be considered a junior synonym of N. soroides.

Matched MeSH terms: Semantics
Fulltext Aspect extraction on user textual reviews using multi-channel convolutional neural network

Da'u A, Salim N

PeerJ Comput Sci, 2019;5:e191.
PMID: 33816844 DOI: 10.7717/peerj-cs.191

Aspect extraction is a subtask of sentiment analysis that deals with identifying opinion targets in an opinionated text. Existing approaches to aspect extraction typically rely on using handcrafted features, linear and integrated network architectures. Although these methods can achieve good performances, they are time-consuming and often very complicated. In real-life systems, a simple model with competitive results is generally more effective and preferable over complicated models. In this paper, we present a multichannel convolutional neural network for aspect extraction. The model consists of a deep convolutional neural network with two input channels: a word embedding channel which aims to encode semantic information of the words and a part of speech (POS) tag embedding channel to facilitate the sequential tagging process. To get the vector representation of words, we initialized the word embedding channel and the POS channel using pretrained word2vec and one-hot-vector of POS tags, respectively. Both the word embedding and the POS embedding vectors were fed into the convolutional layer and concatenated to a one-dimensional vector, which is finally pooled and processed using a Softmax function for sequence labeling. We finally conducted a series of experiments using four different datasets. The results indicated better performance compared to the baseline models.

Matched MeSH terms: Semantics
Fulltext What second-language speakers can tell us about pragmatic processing

Khorsheed A, Md Rashid S, Nimehchisalem V, Geok Imm L, Price J, Ronderos CR

PLoS One, 2022;17(2):e0263724.
PMID: 35180247 DOI: 10.1371/journal.pone.0263724

Upon hearing the phrase Some cats meow, a listener might pragmatically infer that 'Some but not all cats meow'. This is known as a scalar implicature and it often arises when a speaker produces a weak linguistic expression instead of a stronger one. Several L2 studies claim that pragmatic inferences are generated by default and their comprehension presents no challenges to L2 learners. However, the evidence obtained from these studies largely stems from offline-based tasks that provide limited information about how scalar implicatures are processed. This study investigated scalar implicature processing among L2 speakers of English and the degree to which differences in L2 proficiency and Theory of Mind abilities would modulate pragmatic responding. The experiment used an online sentence verification paradigm that required participants to judge, among multiple control items, the veracity of under-informative sentences, such as Some cats are mammals, and to respond as quickly as possible. A true response to this item is indicative of a logical some and perhaps all reading and a false response to a pragmatic some but not all reading. Our results showed evidence that scalar inferences are not generated by default. The answer linked to the pragmatic reading some but not all took significantly longer to make relative to the answer that relies on the logical interpretation some and perhaps all. This processing slowdown was also significantly larger among participants with lower English proficiency. Further exploratory analyses of participants' Theory of Mind, as measured by the Social Skill subscale in the Autism Spectrum Quotient, revealed that socially inclined participants are more likely than the socially disinclined to derive a scalar inference. These results together provide new empirical insights into how L2 learners process scalar implicatures and thus implications for processing theories in experimental pragmatics and second language acquisition.

Matched MeSH terms: Semantics
Fulltext Goal event detection in soccer videos via collaborative multimodal analysis

Alfian Abdul Halin, Rajeswari, Mandava

Pertanika Journal of Science & Technology, 2013;21(2):423-442.
MyJurnal

Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing works have exclusively relied on video content features, namely, directly available and extractable data from the visual and/or aural channels. Sole reliance on such data however, can be problematic due to the high-level semantic nature of video and the difficulty to properly align detected events with their exact time of occurrences. This paper proposes a framework for soccer goal event detection through collaborative analysis of multimodal features. Unlike previous approaches, the visual and aural contents are not directly scrutinized. Instead, an external textual source (i.e., minute-by-minute reports from sports websites) is used to initially localize the event search space. This step is vital as the event search space can significantly be reduced. This also makes further visual and aural analysis more efficient since excessive and unnecessary non-eventful segments are discarded, culminating in the accurate identification of the actual goal event segment. Experiments conducted on thirteen soccer matches are very promising with high accuracy rates being reported.

Matched MeSH terms: Semantics
Fulltext Cross-linguistic patterns in the acquisition of quantifiers

Katsos N, Cummins C, Ezeizabarrena MJ, Gavarró A, Kuvač Kraljević J, Hrzica G, et al.

Proc Natl Acad Sci U S A, 2016 08 16;113(33):9244-9.
PMID: 27482119 DOI: 10.1073/pnas.1601341113

Learners of most languages are faced with the task of acquiring words to talk about number and quantity. Much is known about the order of acquisition of number words as well as the cognitive and perceptual systems and cultural practices that shape it. Substantially less is known about the acquisition of quantifiers. Here, we consider the extent to which systems and practices that support number word acquisition can be applied to quantifier acquisition and conclude that the two domains are largely distinct in this respect. Consequently, we hypothesize that the acquisition of quantifiers is constrained by a set of factors related to each quantifier's specific meaning. We investigate competence with the expressions for "all," "none," "some," "some…not," and "most" in 31 languages, representing 11 language types, by testing 768 5-y-old children and 536 adults. We found a cross-linguistically similar order of acquisition of quantifiers, explicable in terms of four factors relating to their meaning and use. In addition, exploratory analyses reveal that language- and learner-specific factors, such as negative concord and gender, are significant predictors of variation.

Matched MeSH terms: Semantics
Fulltext Multi-format information fusion through integrated metadata using hybrid ontology for disaster management

Che Mustapha Yusuf, J., Mohd Su’ud, M., Boursier, P., Muhammad, A.

Pertanika Journal of Science & Technology, 2013;21(1):217-226.
MyJurnal

Finding relevant disaster data from a huge metadata overhead often results in frustrating search
experiences caused by unclear access points, ambiguous search methods, unsuitable metadata, and long response times. More frequently, semantic relation between the retrieved objects is neglected. This paper presents a system architecture that makes use of ontologies in order to enable semantic metadata descriptions for gathering and integrating multi-format documents in the context of disaster management. After a brief discussion on the challenges of the integration process, the Multi-format Information Retrieval, Integration and Presentation (MIRIP) architecture is presented. A specific approach for ontology development and mapping process is introduced in order to semantically associate user’s query and documents metadata. An ontology model approach was designed to follow inspirational and collaborative approaches with top-down to bottom-up implementation. A prototype of the integrated disaster management information system is currently under development, based on the architecture that is presented in this paper.

Matched MeSH terms: Semantics
Fulltext Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI

Khan Z, Yahya N, Alsaih K, Ali SSA, Meriaudeau F

Sensors (Basel), 2020 Jun 03;20(11).
PMID: 32503330 DOI: 10.3390/s20113183

In this paper, we present an evaluation of four encoder-decoder CNNs in the segmentation of the prostate gland in T2W magnetic resonance imaging (MRI) image. The four selected CNNs are FCN, SegNet, U-Net, and DeepLabV3+, which was originally proposed for the segmentation of road scene, biomedical, and natural images. Segmentation of prostate in T2W MRI images is an important step in the automatic diagnosis of prostate cancer to enable better lesion detection and staging of prostate cancer. Therefore, many research efforts have been conducted to improve the segmentation of the prostate gland in MRI images. The main challenges of prostate gland segmentation are blurry prostate boundary and variability in prostate anatomical structure. In this work, we investigated the performance of encoder-decoder CNNs for segmentation of prostate gland in T2W MRI. Image pre-processing techniques including image resizing, center-cropping and intensity normalization are applied to address the issues of inter-patient and inter-scanner variability as well as the issue of dominating background pixels over prostate pixels. In addition, to enrich the network with more data, to increase data variation, and to improve its accuracy, patch extraction and data augmentation are applied prior to training the networks. Furthermore, class weight balancing is used to avoid having biased networks since the number of background pixels is much higher than the prostate pixels. The class imbalance problem is solved by utilizing weighted cross-entropy loss function during the training of the CNN model. The performance of the CNNs is evaluated in terms of the Dice similarity coefficient (DSC) and our experimental results show that patch-wise DeepLabV3+ gives the best performance with DSC equal to 92 . 8 % . This value is the highest DSC score compared to the FCN, SegNet, and U-Net that also competed the recently published state-of-the-art method of prostate segmentation.

Matched MeSH terms: Semantics
Is there a schizophasia? A study applying the single case approach to formal thought disorder in schizophrenia

Oh TM, McCarthy RA, McKenna PJ

Neurocase, 2002;8(3):233-44.
PMID: 12119320

It has been suggested that formal thought disorder, the incoherent speech of schizophrenia, may involve a language disturbance among other abnormalities, or even be a form of dysphasia. Six patients with and seven without formal thought disorder were evaluated on an aphasia test battery. Spontaneous speech was also analysed using Brief Syntactic Analysis. Poor performance on the aphasia test battery was found to be associated with general intellectual impairment but not with formal thought disorder. Naming was preserved in both groups. Patients with formal thought disorder, but not those without, produced semantic errors in their spontaneous speech, and these were unrelated to general intellectual status. The disorder of language in formal thought disorder thus appears to be one of expressive semantic abnormality, which, however, spares naming. Further analysis of two intellectually preserved patients suggested that formal thought disorder may be associated with an additional difficulty in constructing an appropriate model for generating one's own speech.

Matched MeSH terms: Semantics
Syntactic Cues Help Disambiguate Objects Referred to With Count Nouns: Illustration With Malay Children

Sia MY, Mayor J

Child Dev, 2021 01;92(1):101-114.
PMID: 32738160 DOI: 10.1111/cdev.13401

Children employ multiple cues to identify the referent of a novel word. Novel words are often embedded in sentences and children have been shown to use syntactic cues to differentiate between types of words (adjective vs. nouns) and between types of nouns (count vs. mass nouns). In this study, we show that children learning Malay (N = 67), a numeral classifier language, can use syntactic cues to perform even finer-grained disambiguation-between count nouns. The manipulation of congruence between lexical and syntactic cues reveals a clear developmental trajectory: while 5-year-olds use predominantly lexical cues, older children increasingly rely on syntactic cues, such that by 7 years of age, they disambiguate between objects referred to with count nouns using syntactic rather than lexical cues.

Matched MeSH terms: Semantics
Fulltext Elements of Nature in Iban Proverbs (Jaku’ Sempama): An Inqusitive Semantics Analysis

RUSSEL DUNDANG ANAK JEFFREY, MARY FATIMAH SUBET

Trends in Undergraduate Research, 2018;1(1):0-0.
MyJurnal

The use of proverbs in Iban community illustrates that the community exercise language politeness in giving reproach, advice or insinuation to others. The elements used in the proverbs also reflect and describe the culture of this community by applying their experiences and observations to the environment. This study is conducted to analyze the natural elements in Ibans’ proverbs using inquisitive semantic analysis. This research is based on two objectives, namely listing and identifying Ibans’ proverbs (jaku' sempama) which contain elements of nature in the creation and to analyzing the mind and philosophy of Iban community in the creation of proverbs (jaku' sempama) by using inquisitive semantics as the theoretical framework. The natural elements identified are divided into 4 domains, namely animals, plants, resources or energy, and the universe. This is a qualitative research. Corpus data is gathered and two informants were interviewed. The meanings of the proverbs, the cognitive and the philosophy behind the creation of the proverbs plus the intellects of the Iban community are incorporated to reveal the Iban ingenuity behind the creation of a particular proverb. This study also incorporated knowledge from other areas in giving answers on the use of the natural elements identified in the Iban proverbs. Findings show that there are hidden philosophy behind the creations of the proverbs and this philosophy can be attributed to the culture of the community that behold the proverbs.

Matched MeSH terms: Semantics
Fulltext Sugar Cane images in Tamil Proverbs: A Semantic Inquisitive analysis

TANGAPRABHU MURTHY, MARY FATIMAH SUBET

Trends in Undergraduate Research, 2018;1(1):0-0.
MyJurnal

Proverbs are created when people started to observe and understand the nature around them. Proverbs consist of literal meanings and implicated meanings. The way these proverbs have been said, portrays the beauty and smoothness of the language to which the proverbs belong. This research is mainly conducted to distinguish Indian community's intellectual and philosophical abilities in conveying direct and indirect meanings. The theoretical framework used in this research is inquisitive semantics by Nor Hashimah Jalaluddin (2014). This is a qualitative research. The researcher attained 25 datas by interviewing four (4) Indian informants. However, this research acquired only three 3 data in which the image of sugarcane has been used. Finding shows that the Indian community's proverbs are established from their observation towards nature and the Indian community has their own philosophical understanding and also intellectual standards in the creation of proverbs. Actual meanings behind the data used in this research have been successfully decoded using the theory of inquisitive semantics. In a nutshell, this study is highly justifiable as the theory used in this research is a renowned and authoritative theory.

Matched MeSH terms: Semantics

Filters

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links