Displaying publications 61 - 80 of 365 in total

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  1. Balla A, Habaebi MH, Elsheikh EAA, Islam MR, Suliman FM
    Sensors (Basel), 2023 Jan 09;23(2).
    PMID: 36679553 DOI: 10.3390/s23020758
    Integrating IoT devices in SCADA systems has provided efficient and improved data collection and transmission technologies. This enhancement comes with significant security challenges, exposing traditionally isolated systems to the public internet. Effective and highly reliable security devices, such as intrusion detection system (IDSs) and intrusion prevention systems (IPS), are critical. Countless studies used deep learning algorithms to design an efficient IDS; however, the fundamental issue of imbalanced datasets was not fully addressed. In our research, we examined the impact of data imbalance on developing an effective SCADA-based IDS. To investigate the impact of various data balancing techniques, we chose two unbalanced datasets, the Morris power dataset, and CICIDS2017 dataset, including random sampling, one-sided selection (OSS), near-miss, SMOTE, and ADASYN. For binary classification, convolutional neural networks were coupled with long short-term memory (CNN-LSTM). The system's effectiveness was determined by the confusion matrix, which includes evaluation metrics, such as accuracy, precision, detection rate, and F1-score. Four experiments on the two datasets demonstrate the impact of the data imbalance. This research aims to help security researchers in understanding imbalanced datasets and their impact on DL SCADA-IDS.
    Matched MeSH terms: Data Collection
  2. Bamaga OA, Mahdy MA, Mahmud R, Lim YA
    Parasit Vectors, 2014;7:351.
    PMID: 25074325 DOI: 10.1186/1756-3305-7-351
    Yemen is a Mediterranean country where 65% of its population is at risk of malaria, with 43% at high risk. Yemen is still in the control phase without sustainable reduction in the proportion of malaria cases. A cross-sectional household survey was carried out in different districts in the southeast of the country to determine malaria prevalence and identify factors that impede progress of the elimination phase.
    Matched MeSH terms: Data Collection
  3. Bangash JI, Abdullah AH, Anisi MH, Khan AW
    Sensors (Basel), 2014;14(1):1322-57.
    PMID: 24419163 DOI: 10.3390/s140101322
    Wireless Body Sensor Networks (WBSNs) constitute a subset of Wireless Sensor Networks (WSNs) responsible for monitoring vital sign-related data of patients and accordingly route this data towards a sink. In routing sensed data towards sinks, WBSNs face some of the same routing challenges as general WSNs, but the unique requirements of WBSNs impose some more constraints that need to be addressed by the routing mechanisms. This paper identifies various issues and challenges in pursuit of effective routing in WBSNs. Furthermore, it provides a detailed literature review of the various existing routing protocols used in the WBSN domain by discussing their strengths and weaknesses.
    Matched MeSH terms: Data Collection
  4. Barling PM, Ramasamy P
    Clin Teach, 2011 Mar;8(1):37-42.
    PMID: 21324071 DOI: 10.1111/j.1743-498X.2010.00419.x
    This paper presents our experience of running a special study module (SSM) in the second semester of the first year of our 5-year medical programme, worth 10 per cent of that semester's assessment, in which each student constructs an individually selected model illustrating a specific aspect of the teaching course.
    Matched MeSH terms: Data Collection
  5. Bi Y, Xu X, Chua SY, Chow EMT, Wang X
    Sensors (Basel), 2018 Mar 07;18(3).
    PMID: 29518889 DOI: 10.3390/s18030798
    Laser sensing has been applied in various underwater applications, ranging from underwater detection to laser underwater communications. However, there are several great challenges when profiling underwater turbulence effects. Underwater detection is greatly affected by the turbulence effect, where the acquired image suffers excessive noise, blurring, and deformation. In this paper, we propose a novel underwater turbulence detection method based on a gated wavefront sensing technique. First, we elaborate on the operating principle of gated wavefront sensing and wavefront reconstruction. We then setup an experimental system in order to validate the feasibility of our proposed method. The effect of underwater turbulence on detection is examined at different distances, and under different turbulence levels. The experimental results obtained from our gated wavefront sensing system indicate that underwater turbulence can be detected and analyzed. The proposed gated wavefront sensing system has the advantage of a simple structure and high detection efficiency for underwater environments.
    Matched MeSH terms: Data Collection
  6. Bilal M, Gani A, Lali MIU, Marjani M, Malik N
    Cyberpsychol Behav Soc Netw, 2019 Jul;22(7):433-450.
    PMID: 31074639 DOI: 10.1089/cyber.2018.0670
    Social media has taken an important place in the routine life of people. Every single second, users from all over the world are sharing interests, emotions, and other useful information that leads to the generation of huge volumes of user-generated data. Profiling users by extracting attribute information from social media data has been gaining importance with the increasing user-generated content over social media platforms. Meeting the user's satisfaction level for information collection is becoming more challenging and difficult. This is because of too much noise generated, which affects the process of information collection due to explosively increasing online data. Social profiling is an emerging approach to overcome the challenges faced in meeting user's demands by introducing the concept of personalized search while keeping in consideration user profiles generated using social network data. This study reviews and classifies research inferring users social profile attributes from social media data as individual and group profiling. The existing techniques along with utilized data sources, the limitations, and challenges are highlighted. The prominent approaches adopted include Machine Learning, Ontology, and Fuzzy logic. Social media data from Twitter and Facebook have been used by most of the studies to infer the social attributes of users. The studies show that user social attributes, including age, gender, home location, wellness, emotion, opinion, relation, influence, and so on, still need to be explored. This review gives researchers insights of the current state of literature and challenges for inferring user profile attributes using social media data.
    Matched MeSH terms: Data Collection/methods*
  7. Bostan Ali W, Olayinka JA, Alam MM, Immelman A
    PLoS One, 2024;19(2):e0294890.
    PMID: 38349933 DOI: 10.1371/journal.pone.0294890
    Micro, Small, and Medium-sized Enterprises (MSMEs) in Thailand were assessed in this study to determine the short-term and long-term economic effects of post-COVID- 19 -, with the goal of developing policy guidelines that focus on the methods and strategies that will further develop and help recover these sectors. MSMEs are the most vulnerable and require assistants to combat the pandemic. This study assesses the perspectives of stakeholders on the development of mechanisms and the strategies applied to support vulnerable groups in Thailand, which mostly consist of women and children. The main data collection was gathered through online questionnaires that were distributed to various stakeholder groups. The tools used for analysis were advanced quantitative analysis tools that aid in achieving this research study's objectives, and data was examined primarily through the usage of path modeling, structural equation modeling (SEM), and descriptive analysis was among the methods used. The findings reveal that in the short term, MSMEs' ability to respond to COVID-19 implications has a significant impact on both financial and non-financial performance. Non-financial performance, on the other hand, is more affected by adaptability than financial performance. Demand shock from lockdowns and other COVID-19 cautionary interventions has a negative and significant impact on MSMEs' adaptability, financial performance, and non-financial performance. The demand shocks increased the vulnerability of MSMEs significantly but it was found that proper management of demand shock has helped stabilized and improve MSMEs' financial and non-financial performances, as well as helped decrease their vulnerability. When it comes to government policy, the focus is usually on enhancing the flexibility and financial performance of MSMEs. The government's legislative actions have little impact on MSMEs' non-financial performance and vulnerability. This could be because the majority of the programs are more focused on providing financial assistance to businesses or their consumers. COVID-19's supply and demand shock only hindered MSMEs' ability to respond to the changes and challenges caused by the pandemic, according to vendors. The vulnerability of MSMEs caused by COVID-19 creates grave effects on their financial performance. The findings of this research paper will assist policymakers in identifying the most vulnerable aspects of MSMEs, as well as their expectations- and determine the forms of support that will be required to combat the current and future pandemic situations that may occur in Thailand. In addition, it will aid policymakers in the establishment of procedures and supporting strategies for MSMEs to reduce the unemployment rate and stimulate the Thai economy, among other factors of improvement.
    Matched MeSH terms: Data Collection
  8. Chaiyakunapruk N, Kotirum S, Newall AT, Lambach P, Hutubessy RCW
    Influenza Other Respir Viruses, 2018 01;12(1):13-21.
    PMID: 29143498 DOI: 10.1111/irv.12491
    Influenza disease burden is recognized as one of the major public health problems globally. Much less is known about the economic burden of influenza especially in low- and middle-income countries (LMICs). A recent systematic review on the economic burden of influenza in LMICs suggests that information is scarce and/or incomplete and that there is a lack of standardized approaches for cost evaluations in LMICs. WHO commissioned and publicized a Manual for estimating the economic burden of seasonal influenza to support the standardization of estimates of the economic burden of seasonal influenza across countries. This article aims to describe the rationale of this manual development and opportunities that lie in collecting data to help policymakers estimate the economic burden of seasonal influenza. It describes a manual developed by WHO to help such estimation and also links to relevant literature and tools to ensure robustness of applied methods to assess the economic burden associated with seasonal influenza, including direct medical costs, direct non-medical costs and indirect costs.
    Matched MeSH terms: Data Collection
  9. Chan HK, Ismail S
    Asian Pac J Cancer Prev, 2014;15(13):5305-9.
    PMID: 25040993
    BACKGROUND: This study aimed to assess the most common physical side effects experienced by local chemotherapy patients. Their perceptions of these side effects and informational needs from clinical pharmacists were also evaluated.

    MATERIALS AND METHODS: This was a single-center, cross-sectional study. A face-to-face interview guided by a structured questionnaire with cancer patients admitted to receive repeated cycles of chemotherapy was conducted. Information collected included chemotherapy-related side effects after last chemotherapy experience, the most worrisome side effects, the side effects overlooked by healthcare professionals and the preferred method, amount and source of receiving related information.

    RESULTS: Of 99 patients recruited, 90 participated in this survey (response rate: 90.9%). The majority were in the age range of 45-64 years (73.3%) and female (93.3%). Seventy-five (83.3%) and seventy-one (78.9%) experienced nausea and vomiting, respectively. Both symptoms were selected as two of the most worrisome side effects (16.7% vs. 33.3%). Other common and worrisome side effects were hair loss and loss of appetite. Symptoms caused by peripheral neuropathies were perceived as the major symptoms being overlooked (6.7%). Most patients demanded information about side effects (60.0%) and they would like to receive as much information as possible (86.7%). Oral conversation (83.3%) remained as the preferred method and the clinical pharmacist was preferred by 46.7% of patients as the educator in this aspect.

    CONCLUSIONS: The high prevalence of chemotherapy-related side effects among local patients is of concern. Findings of their perceptions and informational needs may serve as a valuable guide for clinical pharmacists to help in side effect management in Malaysia.

    Matched MeSH terms: Data Collection
  10. Chan KW, Tan GH, Wong RC
    J Forensic Sci, 2013 Jan;58 Suppl 1:S199-207.
    PMID: 23013257 DOI: 10.1111/j.1556-4029.2012.02285.x
    Statistical validation is crucial for the clustering of unknown samples. This study aims to demonstrate how statistical techniques can be optimized using simulated heroin samples containing a range of analyte concentrations that are similar to those of the case samples. Eight simulated heroin distribution links consisting of 64 postcut samples were prepared by mixing one of two mixtures of paracetamol-caffeine-dextromethorphan at different proportions with eight precut samples. Analyte contents and compositional variation of the prepared samples were investigated. A number of data pretreatments were evaluated by associating the postcut samples with the corresponding precut samples using principal component analysis and discriminant analysis. Subsequently, combinations of seven linkage methods and five distance measures were explored using hierarchical cluster analysis. In this study, Ward-Manhattan showed better distinctions between unrelated links and was able to cluster all related samples in very close distance under the known links on a dendogram. A similar discriminative outcome was also achieved by 90 unknown case samples when clustered via Ward-Manhattan.
    Matched MeSH terms: Data Collection
  11. Chandrasekaran R, Dávoli M, Muda Z, Pérez-Lozano U, Salhi N, Saxena N, et al.
    BMC Res Notes, 2023 Nov 10;16(1):327.
    PMID: 37950292 DOI: 10.1186/s13104-023-06552-3
    OBJECTIVE: Haemophilia A (HA) is associated with high clinical and healthcare burden. We developed an Excel-based model comparing current practice to improved management in severe HA patients currently managed on demand (OD). Outcomes included short- and long-term bleed events. Expected annual bleeds were estimated based on locally-derived OD annualised bleed rate (ABR), adjusted by relative prophylaxis-related ABRs (published literature). The objective of our study was to explore the impact of improving HA prophylaxis in target countries with limited published data (Algeria, Argentina, Chile, India, Malaysia, Mexico, Taiwan and Thailand). Bleed-related healthcare resource use (HCRU) and costs were estimated as a function of bleed type, with inputs obtained from local expert estimates. Clotting factor concentrates (CFC) consumption related to treatment and prophylaxis was estimated based on locally relevant dosing. CFC costs were not included.

    RESULTS: When 20% of OD patients were switched to prophylaxis, projected reduction in bleeds was estimated between 3% (Taiwan) through 14% (Algeria and India); projected reductions in hospitalisations ranged from 3% (Taiwan) through 15% (India). Projected HCRU-related annual cost savings were estimated at USD 0.45 m (Algeria), 0.77 m (Argentina), 0.28 m (Chile), 0.13 m (India), 0.29 m (Malaysia), 2.79 m (Mexico), 0.15 m (Taiwan) and 0.78 m (Thailand). Net change in annual CFC consumption ranged from a 0.05% reduction (Thailand) to an overall 5.4% increase (Algeria). Our model provides a flexible framework to estimate the clinical and cost offsets of improved prophylaxis. Modest increase in CFC consumption may be an acceptable offset for improvements in health and healthcare capacity in resource constrained economies.

    Matched MeSH terms: Data Collection
  12. Chang CC, Gangaram HB, Hussein SH
    Med J Malaysia, 2008 Sep;63 Suppl C:68-71.
    PMID: 19227676
    The Malaysian Psoriasis Registry, established in 1998, is the first skin disease clinical registry in Malaysia. It aims to provide useful data on various aspects of psoriasis. Following an extensive revision of the registry form in 2007, a total of 509 psoriasis patients from 10 government dermatologic centres were reviewed in a three month pilot study. The onset of psoriasis was during the second to fourth decade of life in the majority of patients. There was no sexual and ethnic predilection. A positive family history was present in 21.2%, and more common in patients with younger disease onset. The main aggravating factors of psoriasis were stress, sunlight and infection. Plaque psoriasis was the commonest clinical type (80.9%). Joint disease was present in 17.3% of patients, among which mono-/oligoarticular type being the commonest. Nail changes occurred in 68%. More psoriasis patients were overweight and obese compared to the normal population. The mean Dermatologic Life Quality Index (DLQI) score was 8.08 +/- 6.29, and changes during subsequent follow-up may reflect therapeutic effectiveness. This study enabled evaluation of the revised registry form and helped in identifying shortcomings in the implementation of the registry.
    Matched MeSH terms: Data Collection
  13. Chang KM, Ong TC
    Med J Malaysia, 2008 Sep;63 Suppl C:66-7.
    PMID: 19227675
    Treatment option of Haematological malignancies has expanded over the last decade. The outcome of treatment is expected to be better compare to previously. However, study of treatment outcome for haematological malignancies has not been carried out in Malaysia. The goal of this study is to measure the treatment outcome in patients with haematological malignancy.
    Matched MeSH terms: Data Collection
  14. Chang MS, Jute N
    PMID: 7777923
    An Aedes survey using various larval survey methods was conducted in 12 urban housing areas and 29 vacant lands in Sibu town proper. Aedes albopictus larvae were found in all areas surveyed while Aedes aegypti larvae were present in 10 localities and 4 vacant lands. There were no significant difference in the house index, breteau and larval density index of these two Aedes (Stegomyia) species from the survey areas. The proportion of containers positive with Ae. aegypti and Ae. albopictus in area outside the house compound and near the house fencing were 3.2 times higher than outdoor compound. The indoor/outdoor breeding ratio for Ae. aegypti alone is 1.6:1. The most preferred breeding habitats outdoor were plastic cups and used tires while indoor habitats were ant traps and flower vases. In the vacant lands, the average number of larvae per containers was significantly higher than in houses and over 51% of the containers inspected were positive. Shared breeding between Ae. aegypti and Ae. albopictus larvae accounted for 9% in house surveys and 4.5% in vacant land survey. The use of various methods in Aedes larval survey may provide essential information in the study of vector epidemiology in dengue and dengue hemorrhagic fever transmission.
    Matched MeSH terms: Data Collection
  15. Chang YS, Jun JK, Choi YM, Moon SY
    Asia Oceania J Obstet Gynaecol, 1994 Dec;20(4):331-44.
    PMID: 7832663
    This is a survey on the present status of assisted reproductive technology in the Asia-Oceanic region. The survey formats were sent to the 19-member societies of AOFOG. By the end of August 1991, 11 countries responded: Australia, Egypt, Hong Kong, Israel, Japan, Malaysia, New Zealand, Philippines, Republic of China, Singapore and Thailand. This report is a summary of data from 12 countries including Korea. It comprised of 14 headings: IVF, GIFT, AIH, AID, donor sperm in ART, donor eggs in ART, preembryos from IVF for donation, cryopreservation of eggs, cryopreservation of fertilized eggs and preembryos, research of preembryos, surrogate mothers, additional procedures, quality assurance in reproductive technology and formation of policy for emerging reproductive technology. Each heading is composed of status of regulations, cost and coverage and the results and management of program.
    Matched MeSH terms: Data Collection
  16. Chaudery H, MacDonald N, Ahmad T, Chandra S, Tantri A, Sivasakthi V, et al.
    Anesth Analg, 2019 05;128(5):1022-1029.
    PMID: 30418232 DOI: 10.1213/ANE.0000000000003923
    BACKGROUND: Postoperative acute kidney injury (AKI) is associated with a high mortality rate. However, the relationship among AKI, its associations, and mortality is not well understood.

    METHODS: Planned analysis of data was collected during an international 7-day cohort study of adults undergoing elective in-patient surgery. AKI was defined using Kidney Disease Improving Global Outcomes criteria. Patients missing preoperative creatinine data were excluded. We used multivariable logistic regression to examine the relationships among preoperative creatinine-based estimated glomerular filtration rate (eGFR), postoperative AKI, and hospital mortality, accounting for the effects of age, major comorbid diseases, and nature and severity of surgical intervention on outcomes. We similarly modeled preoperative associations of AKI. Data are presented as n (%) or odds ratios (ORs) with 95% confidence intervals.

    RESULTS: A total of 36,357 patients were included, 743 (2.0%) of whom developed AKI with 73 (9.8%) deaths in hospital. AKI affected 73 of 196 (37.2%) of all patients who died. Mortality was strongly associated with the severity of AKI (stage 1: OR, 2.57 [1.3-5.0]; stage 2: OR, 8.6 [5.0-15.1]; stage 3: OR, 30.1 [18.5-49.0]). Low preoperative eGFR was strongly associated with AKI. However, in our model, lower eGFR was not associated with increasing mortality in patients who did not develop AKI. Conversely, in older patients, high preoperative eGFR (>90 mL·minute·1.73 m) was associated with an increasing risk of death, potentially reflecting poor muscle mass.

    CONCLUSIONS: The occurrence and severity of AKI are strongly associated with risk of death after surgery. However, the relationship between preoperative renal function as assessed by serum creatinine-based eGFR and risk of death dependent on patient age and whether AKI develops postoperatively.

    Matched MeSH terms: Data Collection
  17. Cheikh Ismail L, Osaili TM, Mohamad MN, Al Marzouqi A, Jarrar AH, Zampelas A, et al.
    Br J Nutr, 2021 Sep 14;126(5):757-766.
    PMID: 33198840 DOI: 10.1017/S0007114520004547
    Coronavirus disease 2019 (COVID-19) has rapidly spread globally, forcing countries to apply lockdowns and strict social distancing measures. The aim of this study was to assess eating habits and lifestyle behaviours among residents of the Middle East and North Africa (MENA) region during the lockdown. A cross-sectional study among adult residents of the MENA region was conducted using an online questionnaire designed on Google Forms during April 2020. A total of 2970 participants from eighteen countries participated in the present study. During the pandemic, over 30 % reported weight gain, 6·2 % consumed five or more meals per d compared with 2·2 % before the pandemic (P < 0·001) and 48·8 % did not consume fruits on a daily basis. Moreover, 39·1 % did not engage in physical activity, and over 35 % spent more than 5 h/d on screens. A significant association between the frequency of training during the pandemic and the reported change in weight was found (P < 0·001). A significantly higher percentage of participants reported physical and emotional exhaustion, irritability and tension either all the time or a large part of the time during the pandemic (P < 0·001). Although a high percentage of participants reported sleeping more hours per night during the pandemic, 63 % had sleep disturbances. The study highlights that the lockdown due to the COVID-19 pandemic caused a variety of lifestyle changes, physical inactivity and psychological problems among adults in the MENA region.
    Matched MeSH terms: Data Collection
  18. Cheku Nurul Hasmaria Cheku Yahaya, Md Gapar Md Johar
    MyJurnal
    This paper aims to presents the implementation of Organizational Memory Information System (OMIS) framework in managing knowledge in organization. OMIS providing a way for organization to leveraging tacit knowledge in capturing, codifying, storing and transferring knowledge. Every year data, information and knowledge had increased then becomes wasted memories due to the retirement, replacement and resignation of staff. This can have a great impact if the knowledge is not used wisely for future purpose. This could give great impact when it is not used wisely. Organization become more efficient and competitive if they used the collections of memory in the form of collected data, information, and knowledge. Organizations which are not efficient will do the process, and study the same repeatedly. Implementation of this framework is a good way to increase effectiveness of knowledge sharing in university. But some knowledge is hard to capture especially tacit knowledge. Many organizations attempt to capture tacit knowledge and codify it so that it can be shared around the organization for greater value. So this paper is mainly focused on implementation of Organizational Memory Information System (OMIS) framework in order to manage knowledge more centralized and organized in organization.
    Matched MeSH terms: Data Collection
  19. Chen W, Li Y, Xue W, Shahabi H, Li S, Hong H, et al.
    Sci Total Environ, 2020 Jan 20;701:134979.
    PMID: 31733400 DOI: 10.1016/j.scitotenv.2019.134979
    Floods are one of the most devastating types of disasters that cause loss of lives and property worldwide each year. This study aimed to evaluate and compare the prediction capability of the naïve Bayes tree (NBTree), alternating decision tree (ADTree), and random forest (RF) methods for the spatial prediction of flood occurrence in the Quannan area, China. A flood inventory map with 363 flood locations was produced and partitioned into training and validation datasets through random selection with a ratio of 70/30. The spatial flood database was constructed using thirteen flood explanatory factors. The probability certainty factor (PCF) method was used to analyze the correlation between the factors and flood occurrences. Consequently, three flood susceptibility maps were produced using the NBTree, ADTree, and RF methods. Finally, the area under the curve (AUC) and statistical measures were used to validate the flood susceptibility models. The results indicated that the RF method is an efficient and reliable model in flood susceptibility assessment, with the highest AUC values, positive predictive rate, negative predictive rate, sensitivity, specificity, and accuracy for the training (0.951, 0.892, 0.941, 0.945, 0.886, and 0.915, respectively) and validation (0.925, 0.851, 0.938, 0.945, 0.835, and 0.890, respectively) datasets.
    Matched MeSH terms: Data Collection
  20. Cheung YB, Luo N, Ng R, Lee CF
    PMID: 25495840 DOI: 10.1186/s12955-014-0180-6
    To develop an algorithm for mapping the Functional Assessment of Cancer Therapy-Breast (FACT-B) to the 5-level EuroQoL Group's 5-dimension questionnaire (EQ-5D-5L) utility index.
    Matched MeSH terms: Data Collection
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