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Approach for Detecting Attacks on IoT Networks Based on Ensemble Feature Selection and Deep Learning Models

Rihan SDA, Anbar M, Alabsi BA

Sensors (Basel), 2023 Aug 23;23(17).
PMID: 37687798 DOI: 10.3390/s23177342

The Internet of Things (IoT) has transformed our interaction with technology and introduced security challenges. The growing number of IoT attacks poses a significant threat to organizations and individuals. This paper proposes an approach for detecting attacks on IoT networks using ensemble feature selection and deep learning models. Ensemble feature selection combines filter techniques such as variance threshold, mutual information, Chi-square, ANOVA, and L1-based methods. By leveraging the strengths of each technique, the ensemble is formed by the union of selected features. However, this union operation may overlook redundancy and irrelevance, potentially leading to a larger feature set. To address this, a wrapper algorithm called Recursive Feature Elimination (RFE) is applied to refine the feature selection. The impact of the selected feature set on the performance of Deep Learning (DL) models (CNN, RNN, GRU, and LSTM) is evaluated using the IoT-Botnet 2020 dataset, considering detection accuracy, precision, recall, F1-measure, and False Positive Rate (FPR). All DL models achieved the highest detection accuracy, precision, recall, and F1 measure values, ranging from 97.05% to 97.87%, 96.99% to 97.95%, 99.80% to 99.95%, and 98.45% to 98.87%, respectively.
Predictive Factors Contributing to Strain and Burden among Jordanian's Caregivers in Chronic Disease

Al-Rawashdeh AB, Alnjadat R, Khraisat AM

Iran J Nurs Midwifery Res, 2023;28(4):482-484.
PMID: 37694199 DOI: 10.4103/ijnmr.IJNMR_263_20

BACKGROUND: It is well known that caregivers are at risk of suffering from diseases, including chronic ones, which might increase the burden of the healthcare worker.
MATERIALS AND METHODS: A cross-sectional study was conducted in Jordan on 143 caregivers who were randomly selected to participate in self-administered Quality of Life in Life-Threatening Illness-Family Carer Version (QOLLTI-F) questionnaire. The variables were tested using simple linear regression analyses in the SPSS.
RESULTS: Male Jordanian caregivers who provide unpaid care, reported lower quality of life than their female counterparts (p = 0.028), (p = 0.077), respectively. A high statistically significant result was found between unshared and shared care (p = 0.009). Statistically significant results were determined between single caregivers compared with those who were married or divorced (p = 0.894 and p = 0.041, respectively).
CONCLUSIONS: This study concludes that gender, care status, type of care, and marital status are direct predictors of quality of life among Jordanian caregivers.
Impact of technological innovation and renewable energy on ecological footprint in G20 countries: The moderating role of institutional quality

Raza A, Habib Y, Hashmi SH

Environ Sci Pollut Res Int, 2023 Sep;30(42):95376-95393.
PMID: 37544946 DOI: 10.1007/s11356-023-29011-9

The connection between ecological footprint and economic complexity has significant implications for environmental sustainability regarding the policy. Additionally, institutional quality is crucial in ensuring environmental sustainability and moderating the link between economic complexity and ecological footprint. The task of achieving sustainable environmental development and preventing further degradation of the environment poses a formidable challenge to policymakers. This study delves into the significance of technology innovation and renewable energy in creating a more sustainable environment. Recognizing the need for a more critical review, this research establishes the dynamic linkage between ecological footprint, renewable energy consumption, and technological innovation, especially in conjunction with a moderating component, particularly institutional quality, in G20 countries from 1990 to 2021. We employ advanced panel approaches to address panel data analysis concerns, such as cross-sectional dependence, slope heterogeneity, unit root, cointegration test and CS-ARDL. The long-term estimator indicates that renewable energy and technological innovation negatively but significantly impact the ecological footprint. Whilst economic growth, FDI, and urbanization have shown a positive and significant impact on ecological footprint; institutional quality negatively moderates the relationship between ecological footprint, renewable energy, and technological innovation in the G20 countries. Further evidence from the Dumitrescu-Hurlin Granger causality test shows that efforts to expand access to renewable energy, technological advancements, and economic growth will significantly affect environmental impacts. Based on our results, it is imperative to introduce more favorable legislation and encourage technological advancements in the field of renewable energy if we want to achieve our sustainable development objectives.
A review on lung disease recognition by acoustic signal analysis with deep learning networks

Sfayyih AH, Sulaiman N, Sabry AH

J Big Data, 2023;10(1):101.
PMID: 37333945 DOI: 10.1186/s40537-023-00762-z

Recently, assistive explanations for difficulties in the health check area have been made viable thanks in considerable portion to technologies like deep learning and machine learning. Using auditory analysis and medical imaging, they also increase the predictive accuracy for prompt and early disease detection. Medical professionals are thankful for such technological support since it helps them manage further patients because of the shortage of skilled human resources. In addition to serious illnesses like lung cancer and respiratory diseases, the plurality of breathing difficulties is gradually rising and endangering society. Because early prediction and immediate treatment are crucial for respiratory disorders, chest X-rays and respiratory sound audio are proving to be quite helpful together. Compared to related review studies on lung disease classification/detection using deep learning algorithms, only two review studies based on signal analysis for lung disease diagnosis have been conducted in 2011 and 2018. This work provides a review of lung disease recognition with acoustic signal analysis with deep learning networks. We anticipate that physicians and researchers working with sound-signal-based machine learning will find this material beneficial.
Fulltext Meta-Learner-Based Approach for Detecting Attacks on Internet of Things Networks

Rihan SDA, Anbar M, Alabsi BA

Sensors (Basel), 2023 Sep 30;23(19).
PMID: 37837020 DOI: 10.3390/s23198191

The significant surge in Internet of Things (IoT) devices presents substantial challenges to network security. Hackers are afforded a larger attack surface to exploit as more devices become interconnected. Furthermore, the sheer volume of data these devices generate can overwhelm conventional security systems, compromising their detection capabilities. To address these challenges posed by the increasing number of interconnected IoT devices and the data overload they generate, this paper presents an approach based on meta-learning principles to identify attacks within IoT networks. The proposed approach constructs a meta-learner model by stacking the predictions of three Deep-Learning (DL) models: RNN, LSTM, and CNN. Subsequently, the identification by the meta-learner relies on various methods, namely Logistic Regression (LR), Multilayer Perceptron (MLP), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost). To assess the effectiveness of this approach, extensive evaluations are conducted using the IoT dataset from 2020. The XGBoost model showcased outstanding performance, achieving the highest accuracy (98.75%), precision (98.30%), F1-measure (98.53%), and AUC-ROC (98.75%). On the other hand, the SVM model exhibited the highest recall (98.90%), representing a slight improvement of 0.14% over the performance achieved by XGBoost.
Fulltext Induction of epoxide hydrolase, glucuronosyl transferase, and sulfotransferase by phenethyl isothiocyanate in male Wistar albino rats

Abdull Razis AF, Mohd Noor N, Konsue N

Biomed Res Int, 2014;2014:391528.
PMID: 24592387 DOI: 10.1155/2014/391528

Phenethyl isothiocyanate (PEITC) is an isothiocyanate found in watercress as the glucosinolate (gluconasturtiin). The isothiocyanate is converted from the glucosinolate by intestinal microflora or when contacted with myrosinase during the chopping and mastication of the vegetable. PEITC manifested protection against chemically-induced cancers in various tissues. A potential mechanism of chemoprevention is by modulating the metabolism of carcinogens so as to promote deactivation. The principal objective of this study was to investigate in rats the effect of PEITC on carcinogen-metabolising enzyme systems such as sulfotransferase (SULT), N-acetyltransferase (NAT), glucuronosyl transferase (UDP), and epoxide hydrolase (EH) following exposure to low doses that simulate human dietary intake. Rats were fed for 2 weeks diets supplemented with PEITC at 0.06 µmol/g (low dose, i.e., dietary intake), 0.6 µmol/g (medium dose), and 6.0 µmol/g (high dose), and the enzymes were monitored in rat liver. At the Low dose, no induction of the SULT, NAT, and EH was noted, whereas UDP level was elevated. At the Medium dose, only SULT level was increased, whereas at the High dose marked increase in EH level was observed. It is concluded that PEITC modulates carcinogen-metabolising enzyme systems at doses reflecting human intake thus elucidating the mechanism of its chemoprevention.
Fulltext Laparoscopic repair of internal hernia in one anastomosis gastric bypass (OAGB): a case report

Al-Mulla AE, Elgazzar M, Shalaby O

J Surg Case Rep, 2023 Dec;2023(12):rjad670.
PMID: 38111490 DOI: 10.1093/jscr/rjad670

One anastomosis gastric bypass (OAGB), considered an alternative to Roux-en-Y gastric bypass, is becoming an increasingly common procedure. It shows excellent results in terms of weight reduction and remission of metabolic disease. Among the advantages of OAGB is the lack of internal hernia due to the absence of jejuno-jejunal anastomosis. However, internal herniation in OAGB is not impossible, and multiple cases have been mentioned in the literature. We describe a laparoscopic revisional surgery of internal hernia in a patient with a 2-month history of OAGB.
Fulltext Embolization of brain arteriovenous malformations with squid co-polymer embolic material: Initial experience

Ch'ng LS, Zaki Z, Sobri Muda A

J Interv Med, 2023 Nov;6(4):176-179.
PMID: 38312133 DOI: 10.1016/j.jimed.2023.09.003

OBJECTIVE: To analyze the safety and effectiveness of the ethylene-vinyl alcohol copolymer (EVOH) liquid embolic agent Squid (Emboflu, Switzerland) for the treatment of brain arteriovenous malformations.
MATERIALS AND PROCEDURES: Between April 2015 and July 2017, 46 embolization treatments for brain arteriovenous malformations (BAVM) were performed in 25 patients using two Squid formulations (18 and 12). Six female and 19 male patients with a mean age of 34 years (range, 9-62 years) were included. A total of 46 procedures were performed. The BAVMs were classified as Spetzler-Martin grade II in 4 procedures, III in 27 procedures, and 1V in 15 procedures. Among the 25 patients, 15 presented with hemorrhage, 5 with seizures, and 5 with headache and neurology. The BAVMs were located in the temporal lobe in 5 patients, parietal lobe in 7 patients, frontal lobe in 3 patients, posterior fossa in 6 patients, basal ganglia in 3 patients, and parasagittal lobe in 1 patient.
RESULTS: The obliteration rate of the BAVMs ranged from 10% to 100%, with a mean of 33%. Most patients underwent their first or second embolization procedure. Four patients (8%) developed intracranial bleeding post-procedure, with one death (2%). One patient (2%) experienced a seizure during the procedure; however, no intracranial bleeding was observed. Seven patients (15%) experienced perforations during catheter manipulation. One case (2%) of a fractured catheter was recorded, but no significant complications were observed. The average volume of copolymer injected was 0.6 ml per nidus. Thirteen procedures used the Squid-12 formulation, 29 procedures used the Squid-18 formulation, and 3 procedures used a combination of Squid-12 and -18 formulations.
CONCLUSION: Squid is a safe and effective embolic agent for treating BAVMs.
Transformation of Morinda citrifolia via simple mature seed imbibition method

Lee JJ, Ahmad S, Roslan HA

Pak J Biol Sci, 2013 Dec 15;16(24):1913-21.
PMID: 24517006

Morinda citrifolia, is a valuable medicinal plant with a wide range of therapeutic properties and extensive transformation study on this plant has yet been known. Present study was conducted to establish a simple and reliable transformation protocol for M. citrifolia utilising Agrobacterium tumefaciens via direct seed exposure. In this study, the seeds were processed by tips clipping and dried and subsequently incubated in inoculation medium. Four different parameters during the incubation such as incubation period, bacterial density, temperature and binary vectors harbouring beta-glucuronidase (GUS) gene (pBI121 and pGSA1131), were tested to examine its effect on transformation efficiency. The leaves from the treated and germinated seedlings were analysed via Polymerase Chain Reaction (PCR), histochemical assay of the GUS gene and reverse transcription-PCR (RT-PCR). Results of the study showed that Agrobacterium strain LBA4404 with optical density of 1.0 and 2 h incubation period were optimum for M. citrifolia transformation. It was found that various co-cultivation temperatures tested and type of vector used did not affect the transformation efficiency. The highest transformation efficiency for M. citrifolia direct seed transformation harbouring pBI121 and pGSA1131 was determined to be 96.8% with 2 h co-cultivation treatment and 80.4% when using bacterial density of 1.0, respectively. The transformation method can be applied for future characterization study of M. citrifolia.
Optimization of complex fermentation media for glucose oxidase production using statistical approach

Gunny AA, Arbain D, Sithamparam L

Pak J Biol Sci, 2013 Sep 15;16(18):960-4.
PMID: 24502155

Production cost of enzyme is largely determined by the type of the strain and raw material used to propagate the strain. Hence, selection of the strain and raw materials is crucial in enzyme production. For Glucose oxidase (GOx), previous studies showed Aspergillus terreus UniMAP AA-1 offers a better alternative to the existing sources. Thus, a lower production cost could be logically anticipated by growing the strain in a cheaper complex media such as molasses. In this work, sugar cane molasses, supplemented with urea and carbonate salt and a locally isolated strain Aspergillus terreus UniMAP AA-1 were used to produce a crude GOx enzyme in a small scale. A statistical optimization approach namely Response Surface Methodology (RSM) was used to optimize the media components for highest GOx activity. It was found that the highest GOx activity was achieved using a combination of molasses, carbonate salt and urea at concentration 32.51, 4.58 and 0.93% (w/v), respectively. This study provides an alternative optimized media conditions for GOx production using locally available raw materials.
Synthesis of catechol-amine coating solution for membrane surface modification

Senusi F, Nasuha N, Husain A, Ismail S

Environ Sci Pollut Res Int, 2023 Dec;30(60):124585-124595.
PMID: 35604600 DOI: 10.1007/s11356-022-20167-4

Recently, the plant polyphenols have attracted much attention for membrane modification, especially in surface coating application. In this study, the synthesis of catechol-amine coating solutions was evaluated at different pH conditions and with different concentrations of tannic acid and tetraethylenepentamine in order to determine the relationship between chemical structure and mechanism in the oxidation reaction. The reactivity of catechol and amine groups in the formulation was measured using UV-Vis spectroscopy and observation of the change in colour of the coating solutions. Then, the deposition of catechol-amine coating solutions was applied onto the hydrophobic polyvinylidene fluoride (PVDF) membrane. The formulation results show significant differences in alkaline conditions, revealing the role of catechol groups in the oxidation of polyphenolics. The reactions of quinone and amines to form crosslinks by Michael addition and Schiff base reactions were observed at different concentrations of each compound in coating solution. In addition, the negative charge of hydrophilic and underwater oleophobic-coated PVDF membrane was confirmed by surface zeta potential analysis. The morphological surface of modified membrane is rougher due to that coating deposition was also examined using scanning electron microscopy (SEM). Furthermore, the performance of modified membrane is comparable with the commercial hydrophilic membrane in terms of fluxes and separation efficiency of emulsion solution.
Occurrence of 17α-ethynylestradiol (EE2) in the environment and effect on exposed biota: a review

Aris AZ, Shamsuddin AS, Praveena SM

Environ Int, 2014 Aug;69:104-19.
PMID: 24825791 DOI: 10.1016/j.envint.2014.04.011

17α-ethynylestradiol (EE2) is a synthetic hormone, which is a derivative of the natural hormone, estradiol (E2). EE2 is an orally bio-active estrogen, and is one of the most commonly used medications for humans as well as livestock and aquaculture activity. EE2 has become a widespread problem in the environment due to its high resistance to the process of degradation and its tendency to (i) absorb organic matter, (ii) accumulate in sediment and (iii) concentrate in biota. Numerous studies have reported the ability of EE2 to alter sex determination, delay sexual maturity, and decrease the secondary sexual characteristics of exposed organisms even at a low concentration (ng/L) by mimicking its natural analogue, 17β-estradiol (E2). Thus, the aim of this review is to provide an overview of the science regarding EE2, the concentration levels in the environment (water, sediment and biota) and summarize the effects of this compound on exposed biota at various concentrations, stage life, sex, and species. The challenges in respect of EE2 include the extension of the limited database on the EE2 pollution profile in the environment, its fate and transport mechanism, as well as the exposure level of EE2 for better prediction and definition revision of EE2 toxicity end points, notably for the purpose of environmental risk assessment.
Fulltext Effects of soy on body composition: A 12-week randomized controlled trial among Iranian elderly women with metabolic syndrome

Bakhtiari A, Yassin Z, Hanachi P, Rahmat A, Ahmad Z, Sajadi P, et al.

Iran J Public Health, 2012;41(4):9-18.
PMID: 23113160

BACKGROUND: To examine the effects of soy [in the form of textured soy protein (TSP) and soy-nut] on body composition in elderly women with metabolic syndrome (MetS).
METHODS: A 12-week randomized clinical trial was conducted on 75 women between 60-70 years of age with MetS in rural health clinics around Babol, Iran in 2009. The participants were randomly assigned to one of the three groups of soy-nut (35g/d), TSP (35g/d) and control. Body fat, lean mass and anthropometric indicators were measured before and after intervention, too.
RESULTS: Participants were classified as overweight and showing android fat distribution. After 12 weeks of intervention, both soy-nut and TSP groups showed an increase of non-significant in lean mass (0.9 and 0.7 kg), hip circumference (0.45 and 0.28 cm), triceps skinfold (TSF) thickness (0.87 and 0.67mm) and reduction in BMI (-0.15 and -0.33), waist circumference (-0.83 and -1.2) and body fat (-1.5% and -1.7%). Significant increase in the mean change of TSF and lean mass was observed in the users of soy-nut compared to the control group (P<0.01, P<0.05).
CONCLUSION: 12-week intervention of soy had a mild favorable effect on body composition in elderly women with MetS.
KEYWORDS: Body composition; Metabolic syndrome; Older women; Soy
Poverty, Income, and Unemployment as Determinants of Life Expectancy: Empirical Evidence from Panel Data of Thirteen Malaysian States

Tafran K, Tumin M, Osman AF

Iran J Public Health, 2020 Feb;49(2):294-303.
PMID: 32461937

Background: The primary indicator of public health, which all nations aim to prolong, is life expectancy at birth. Uncovering its socioeconomic determinants is key to extending life expectancy. This study examined the determinants of life expectancy in Malaysia.
Methods: This observational study employs secondary data from various official sources of 12 states and one federal territory in Malaysia (2002-2014). Panel data of 78 observations (13 cross-sections at six points in time) were used in multivariate, fixed-effect, regressions to estimate the effects of socioeconomic variables on life expectancy at birth for male, female and both-gender.
Results: Poverty and income significantly determine female, male, and total life expectancies. Unemployment significantly determines female and total life expectancies, but not male. Income inequality and public spending on health (as a percentage of total health spending) do not significantly determine life expectancy. The coefficients of the multivariate regressions suggest that a 1% reduction in poverty, 1% reduction in unemployment, and around USD 23.20 increase in household monthly income prolong total life expectancy at birth by 17.9, 72.0, and 16.3 d, respectively. The magnitudes of the effects of the socioeconomic variables on life expectancy vary somewhat by gender.
Conclusion: Life expectancy in Malaysia is higher than the world average and higher than that in some developing countries in the region. However, it is far lower than the advanced world. Reducing poverty and unemployment and increasing income are three effective channels to enhance longevity.
Fulltext The Power of Multidimensional Poverty in Explaining Life Expectancy: Empirical Evidence from Cross-Sectional Data of 62 Developing Countries

Tafran K, Tumin M, Osman AF

Iran J Public Health, 2020 Sep;49(9):1709-1717.
PMID: 33643946 DOI: 10.18502/ijph.v49i9.4088

Background: We examined whether multidimensional poverty index (MPI) explained variations in life expectancy (LE) better than income poverty; and assessed the relative importance of MPI indicators in influencing LE.
Methods: Cross-sectional data from 62 developing countries were used to run several multivariate linear regressions. R2 was used to compare the powers of MPI with income-poverties (income poverty gaps [IPG] at 1.9 and 3.1 USD) in explaining LE.
Results: Adjusting for controls, both MPI (β =-0.245, P<0.001) and IPG at 3.1 USD (β=-0.135, P=0.044) significantly correlates with LE, but not IPG at 1.9 USD (β=-0.147, P=0.135). MPI explains 12.1% of the variation in LE compared to only 3.2% explained by IPG at 3.1 USD. The effect of MPI on LE is higher on female (β=-0.210, P<0.001) than male (β=-0.177, P<0.001). The relative influence of the deprivation indictors on LE ranks as follows (most to least): Asset ownership, drinking water, cooking fuel, flooring, child school attendance, years of schooling, nutrition, mortality, improved sanitation, and electricity.
Conclusion: Interventions to reduce poverty and improve LE should be guided by MPI, not income poverty indices. Such policies should be female-oriented and prioritized based on the relative influence of the various poverty deprivation indicators on LE.
An introductory teaching skills training program for dental students

Siddiqui FSA, Telang A, Tamanna NJ

J Dent Educ, 2024 Dec 18.
PMID: 39696742 DOI: 10.1002/jdd.13818
Fulltext Profile of clients attending a methadone clinic

Jacob SA, Mohammed F, Hassali MA

Malays J Med Sci, 2015 Jan-Feb;22(1):58-69.
PMID: 25892951 MyJurnal

BACKGROUND: Client characteristics provide useful information for designing programs that target individuals with risk factors for substance use and for determining client retention. Therefore, this study examined the profiles of clients attending a methadone clinic.
METHODS: A cross-sectional analysis of clients of a methadone clinic was conducted through a survey to obtain a profile of methadone clients.
RESULTS: Of the 51 patients who responded (response rate: 66.2%), the mean (SD) age at which they started substance use was 19.8 (5.1) years. Friends were cited as the most regular source of drugs (82.4%), and heroin was the most commonly used drug (98%). Daily substance use was reported by 72.5% of the respondents; 23.5% admitted to having stolen money to purchase drugs; 92.2% tried quitting substance use on their own and 98% stated that the main reason for registering at the clinic was that they wanted to stop their drug dependence. Approximately 60% of clients were receiving methadone doses of less than 60 mg/day.
CONCLUSION: Heroin is still the most popular drug of abuse and most clients still receive methadone doses below the recommended level, despite evidence of poor patient retention rates associated with these low doses.
KEYWORDS: Malaysia; methadone; patient appointments; profile; substance use
Study site: Methadone clinic, hospital, Malaysia.
Fulltext Endoscopic-assisted Enucleation of Radicular Cysts - A Case Report

Kahairi A, Ahmed Khan S, Amirozi A

Malays J Med Sci, 2010 Jan;17(1):56-9.
PMID: 22135528

The standard management for the majority of benign jaw cysts is enucleation, marsupialisation, curettage and decompression. Enucleation has the advantage that the whole specimen is sent for microscopic evaluation so that more sinister pathological processes (i.e. squamous cell carcinoma) may not be missed. In a large cystic lesion, enucleation is still possible, but technical difficulties might be encountered. In such instances, inevitable damage can occur to the surrounding structures. We report a case of a large radicular cyst of the maxilla that was enucleated via endoscopic assistance through the Caldwell Luc approach.
Fulltext Mesenchymal chondrosarcoma: a case report

Nguyen DV, Muda AS, Yaacob Y

Malays J Med Sci, 2013 May;20(3):71-7.
PMID: 23966829 MyJurnal

Mesenchymal chondrosarcoma is a rare disease with poor prognosis. Treatment including wide or radical excision is very important. Radiotherapy and chemotherapy are additional treatment options, but no conclusive results for their efficacy have been shown until date. Imaging modalities can give important clues for diagnosis and management planning. Angioembolization before surgery could be useful as prophylaxis to control intraoperative bleeding, increasing the likelihood of complete resection.
Fulltext Evaluation of X-Ray Beam Quality Based on Measurements and Estimations Using SpekCalc and Ipem78 Models

Chen SC, Jong WL, Harun AZ

Malays J Med Sci, 2012 Jul;19(3):22-8.
PMID: 23610546 MyJurnal

Different computational methods have been used for the prediction of X-ray spectra and beam quality in diagnostic radiology. The purpose of this study was to compare X-ray beam qualities based on half-value layers (HVLs) determined through measurements and computational model estimations.

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