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Fabrication and dialysis performance of functionalized multiwall carbon nanotubes integrated cellulose acetate/poly(vinylpyrrolidone) membranes

Ashraf MA, Islam A, Butt MA, Hussain T, Khan RU, Bashir S, et al.

Int J Biol Macromol, 2021 Nov 30;191:872-880.
PMID: 34571131 DOI: 10.1016/j.ijbiomac.2021.09.131

Mixed matrix membranes (MMMs) of cellulose acetate/poly(vinylpyrrolidone) (CA/PVP) infused with acid functionalized multiwall carbon nanotubes (f-MWCNTs) were fabricated by an immersion phase separation technique for hemodialysis application. Membranes were characterized using FTIR, water uptake, contact angle, TGA, DMA and SEM analysis. The FTIR was used to confirm the bonding interaction between CA/PVP membrane matrix and f-MWCNTs. Upon addition of f-MWCNTs, TGA thermograms and glass transition temperature indicated improved thermal stability of MMMs. The surface morphological analysis demonstrated revealed uniform distribution of f-MWCNTs and asymmetric membrane structure. The water uptake and contact angle confirmed that hydrophilicity was increased after incorporation of f-MWCNTs. The membranes demonstrated enhancement in water permeate flux, bovine serum albumin (BSA) rejection with the infusion of f-MWCNTs; whereas BSA based anti-fouling analysis using flux recovery ratio test shown up to 8.4% improvement. The urea and creatinine clearance performance of MMMs were evaluated by dialysis experiment. It has been found that f-MWCNTs integrated membranes demonstrated the higher urea and creatinine clearance with increase of 12.6% and 10.5% in comparison to the neat CA/PVP membrane. Thus, the prepared CA/PVP membranes embedded with f-MWCNTs can be employed for wide range of dialysis applications.
Fulltext A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN

Al-Saffar A, Awang S, Al-Saiagh W, Al-Khaleefa AS, Abed SA

Sensors (Basel), 2021 Nov 02;21(21).
PMID: 34770612 DOI: 10.3390/s21217306

Handwriting recognition refers to recognizing a handwritten input that includes character(s) or digit(s) based on an image. Because most applications of handwriting recognition in real life contain sequential text in various languages, there is a need to develop a dynamic handwriting recognition system. Inspired by the neuroevolutionary technique, this paper proposes a Dynamically Configurable Convolutional Recurrent Neural Network (DC-CRNN) for the handwriting recognition sequence modeling task. The proposed DC-CRNN is based on the Salp Swarm Optimization Algorithm (SSA), which generates the optimal structure and hyperparameters for Convolutional Recurrent Neural Networks (CRNNs). In addition, we investigate two types of encoding techniques used to translate the output of optimization to a CRNN recognizer. Finally, we proposed a novel hybridized SSA with Late Acceptance Hill-Climbing (LAHC) to improve the exploitation process. We conducted our experiments on two well-known datasets, IAM and IFN/ENIT, which include both the Arabic and English languages. The experimental results have shown that LAHC significantly improves the SSA search process. Therefore, the proposed DC-CRNN outperforms the handcrafted CRNN methods.
Modeling pedestrian gap crossing index under mixed traffic condition

Naser MM, Zulkiple A, Al Bargi WA, Khalifa NA, Daniel BD

J Safety Res, 2017 12;63:91-98.
PMID: 29203029 DOI: 10.1016/j.jsr.2017.08.005

INTRODUCTION: There are a variety of challenges faced by pedestrians when they walk along and attempt to cross a road, as the most recorded accidents occur during this time. Pedestrians of all types, including both sexes with numerous aging groups, are always subjected to risk and are characterized as the most exposed road users. The increased demand for better traffic management strategies to reduce the risks at intersections, improve quality traffic management, traffic volume, and longer cycle time has further increased concerns over the past decade.
METHOD: This paper aims to develop a sustainable pedestrian gap crossing index model based on traffic flow density. It focusses on the gaps accepted by pedestrians and their decision for street crossing, where (Log-Gap) logarithm of accepted gaps was used to optimize the result of a model for gap crossing behavior. Through a review of extant literature, 15 influential variables were extracted for further empirical analysis. Subsequently, data from the observation at an uncontrolled mid-block in Jalan Ampang in Kuala Lumpur, Malaysia was gathered and Multiple Linear Regression (MLR) and Binary Logit Model (BLM) techniques were employed to analyze the results.
RESULTS AND CONCLUSIONS: From the results, different pedestrian behavioral characteristics were considered for a minimum gap size model, out of which only a few (four) variables could explain the pedestrian road crossing behavior while the remaining variables have an insignificant effect. Among the different variables, age, rolling gap, vehicle type, and crossing were the most influential variables. The study concludes that pedestrians' decision to cross the street depends on the pedestrian age, rolling gap, vehicle type, and size of traffic gap before crossing.
PRACTICAL APPLICATIONS: The inferences from these models will be useful to increase pedestrian safety and performance evaluation of uncontrolled midblock road crossings in developing countries.
Synthesis, α-glucosidase inhibition and molecular docking study of coumarin based derivatives

Taha M, Shah SAA, Afifi M, Imran S, Sultan S, Rahim F, et al.

Bioorg Chem, 2018 04;77:586-592.
PMID: 29477126 DOI: 10.1016/j.bioorg.2018.01.033

We have synthesized seventeen Coumarin based derivatives (1-17), characterized by 1HNMR, 13CNMR and EI-MS and evaluated for α-glucosidase inhibitory potential. Among the series, all derivatives exhibited outstanding α-glucosidase inhibition with IC50 values ranging between 1.10 ± 0.01 and 36.46 ± 0.70 μM when compared with the standard inhibitor acarbose having IC50 value 39.45 ± 0.10 μM. The most potent derivative among the series is derivative 3 having IC50 value 1.10 ± 0.01 μM, which are many folds better than the standard acarbose. The structure activity relationship (SAR) was mainly based upon by bring about difference of substituent's on phenyl part. Molecular docking studies were carried out to understand the binding interaction of the most active compounds.
Acyclovir-Polyethylene Glycol 6000 Binary Dispersions: Mechanistic Insights

Venkateskumar K, Parasuraman S, Gunasunderi R, Sureshkumar K, Nayak MM, Shah SAA, et al.

AAPS PharmSciTech, 2017 Aug;18(6):2085-2094.
PMID: 28004342 DOI: 10.1208/s12249-016-0686-9

The dissolution and subsequent oral bioavailability of acyclovir (ACY) is limited by its poor aqueous solubility. An attempt has been made in this work to provide mechanistic insights into the solubility enhancement and dissolution of ACY by using the water-soluble carrier polyethylene glycol 6000 (PEG6000). Solid dispersions with varying ratios of the drug (ACY) and carrier (PEG6000) were prepared and evaluated by phase solubility, in vitro release studies, kinetic analysis, in situ perfusion, and in vitro permeation studies. Solid state characterization was done by powder X-ray diffraction (XRD), differential scanning calorimetry (DSC), and Fourier transform infrared (FTIR) analysis, and surface morphology was assessed by polarizing microscopic image analysis, scanning electron microscopy, atomic force microscopy, and nuclear magnetic resonance analysis. Thermodynamic parameters indicated the solubilization effect of the carrier. The aqueous solubility and dissolution of ACY was found to be higher in all samples. The findings of XRD, DSC, FTIR and NMR analysis confirmed the formation of solid solution, crystallinity reduction, and the absence of interaction between the drug and carrier. SEM and AFM analysis reports ratified the particle size reduction and change in the surface morphology in samples. The permeation coefficient and amount of ACY diffused were higher in samples in comparison to pure ACY. Stability was found to be higher in dispersions. The results suggest that the study findings provided clear mechanical insights into the solubility and dissolution enhancement of ACY in PEG6000, and such findings could lay the platform for resolving the poor aqueous solubility issues in formulation development.
Synthesis, characterization, biological evaluation and molecular docking studies of 2-(1H-benzo[d]imidazol-2-ylthio)-N-(substituted 4-oxothiazolidin-3-yl) acetamides

Yadav S, Narasimhan B, Lim SM, Ramasamy K, Vasudevan M, Shah SAA, et al.

Chem Cent J, 2017 Dec 22;11(1):137.
PMID: 29274036 DOI: 10.1186/s13065-017-0361-6

BACKGROUND: A series of 2-(1H-benzo[d]imidazol-2-ylthio)-N-(substituted 4-oxothiazolidin-3-yl) acetamides was synthesized and characterized by physicochemical and spectral means. The synthesized compounds were evaluated for their in vitro antimicrobial activity against Staphylococcus aureus, Bacillus subtilis, Escherichia coli, Candida albicans and Aspergillus niger by tube dilution method. The in vitro cytotoxicity study of the compounds was carried out against human colorectal (HCT116) cell line. The most promising anticancer derivatives (5l, 5k, 5i and 5p) were further docked to study their binding efficacy to the active site of the cyclin-dependent kinase-8.
RESULTS: All the compounds possessed significant antimicrobial activity with MIC in the range of 0.007 and 0.061 µM/ml. The cytotoxicity study revealed that almost all the derivatives were potent in inhibiting the growth of HCT116 cell line in comparison to the standard drug 5-fluorouracil. Compounds 5l and 5k (IC50 = 0.00005 and 0.00012 µM/ml, respectively) were highly cytotoxic towards HCT116 cell line in comparison to 5-fluorouracil (IC50 = 0.00615 µM/ml) taken as standard drug.
CONCLUSION: The molecular docking studies of potent anticancer compounds 5l, 5k, 5i and 5p showed their putative binding mode and significant interactions with cyclin-dependent kinase-8 as prospective agents for treating colon cancer.
Fulltext Coping With Diabetes During the COVID-19 Lockdown in Saudi Arabia: Lessons Learned in the Post-pandemic Era

Alharbi A, Alduribi A, Alghthami A, Elnaem M, Alsenani FS, Haseeb A, et al.

Cureus, 2022 Nov;14(11):e31522.
PMID: 36532936 DOI: 10.7759/cureus.31522

BACKGROUND: Uncontrolled diabetes has appeared as one of the major risk factors for morbidity and mortality in diabetic patients with coronavirus disease 2019 (COVID-19). Alterations in dietary habits, physical inactivity, and inability to take advice from the physician are some of the contributing factors. This study aimed to assess the impact of the COVID-19 lockdown in Saudi Arabia on medication accessibility, medication adherence, lifestyle, and quality of life of diabetes patients.
METHODS: A cross-sectional observational study was conducted among diabetic patients using a self-reported questionnaire developed on an online platform (SurveyMonkey®). The survey was distributed through social media platforms (WhatsApp, Telegram). For those who were digitally illiterate, responses were collected by family members. The targeted population was type 1, type 2 and gestational diabetes patients. The analysis of the data was done using IBM SPSS Statistics, version 26.
RESULTS: Four hundred forty-nine participants completed the survey. Most of the participants had type 2 diabetes (n=359; 79.8%) and were well educated (83.2%) with a high school degree and above. Complications from COVID-19 infection were reported in 12% (n=54) patients. During quarantine, 78.8% (n=354) of participants measured their blood glucose regularly. Results showed that during quarantine, 68.3% (n=311) participants skipped their scheduled follow-up whereas only 5.1% (n=23) of them took their medication inappropriately.
CONCLUSION: This study reported good levels of self-monitoring of blood glucose levels, whereas patients' accessibility to seek healthcare services seemed to be interrupted. Further efforts are needed in the post-pandemic era to empower patients' self-care behaviors and utilize telehealth models to facilitate timely access to medical care.
Fulltext In-Depth Review of Augmented Reality: Tracking Technologies, Development Tools, AR Displays, Collaborative AR, and Security Concerns

Syed TA, Siddiqui MS, Abdullah HB, Jan S, Namoun A, Alzahrani A, et al.

Sensors (Basel), 2022 Dec 23;23(1).
PMID: 36616745 DOI: 10.3390/s23010146

Augmented reality (AR) has gained enormous popularity and acceptance in the past few years. AR is indeed a combination of different immersive experiences and solutions that serve as integrated components to assemble and accelerate the augmented reality phenomena as a workable and marvelous adaptive solution for many realms. These solutions of AR include tracking as a means for keeping track of the point of reference to make virtual objects visible in a real scene. Similarly, display technologies combine the virtual and real world with the user's eye. Authoring tools provide platforms to develop AR applications by providing access to low-level libraries. The libraries can thereafter interact with the hardware of tracking sensors, cameras, and other technologies. In addition to this, advances in distributed computing and collaborative augmented reality also need stable solutions. The various participants can collaborate in an AR setting. The authors of this research have explored many solutions in this regard and present a comprehensive review to aid in doing research and improving different business transformations. However, during the course of this study, we identified that there is a lack of security solutions in various areas of collaborative AR (CAR), specifically in the area of distributed trust management in CAR. This research study also proposed a trusted CAR architecture with a use-case of tourism that can be used as a model for researchers with an interest in making secure AR-based remote communication sessions.
Fulltext A green and efficient synthetic methodology towards the synthesis of 1-allyl-6-chloro-4-oxo-1,4-dihydroquinoline-3-carboxamide derivatives

Gill MSA, Azzman N, Hassan SS, Shah SAA, Ahemad N

BMC Chem, 2022 Dec 08;16(1):111.
PMID: 36482476 DOI: 10.1186/s13065-022-00902-1

Quinolone is a privileged scaffold in medicinal chemistry and 4-Quinolone-3-Carboxamides have been reported to harbor vast therapeutic potential. However, conversion of N-1 substituted 4-Quinolone 3-Carboxylate to its corresponding carbamates is highly restrictive. This motivated us to adopt a much simpler, scalable and efficient methodology for the synthesis of highly pure N-1 substituted 4- Quinolone-3-Carboxamides with excellent yields. Our adopted methodology not only provides a robust pathway for the convenient synthesis of N-1 substituted 4- Quinolone-3-Carboxamides which can then be explored for their therapeutic potential, this may also be adaptable for the derivatization of other such less reactive carboxylate species.
Fulltext A Novel Markov Model-Based Traffic Density Estimation Technique for Intelligent Transportation System

Beenish H, Javid T, Fahad M, Siddiqui AA, Ahmed G, Syed HJ

Sensors (Basel), 2023 Jan 09;23(2).
PMID: 36679565 DOI: 10.3390/s23020768

An intelligent transportation system (ITS) aims to improve traffic efficiency by integrating innovative sensing, control, and communications technologies. The industrial Internet of things (IIoT) and Industrial Revolution 4.0 recently merged to design the industrial Internet of things-intelligent transportation system (IIoT-ITS). IIoT sensing technologies play a significant role in acquiring raw data. The application continuously performs the complex task of managing traffic flows effectively based on several parameters, including the number of vehicles in the system, their location, and time. Traffic density estimation (TDE) is another important derived parameter desirable to keep track of the dynamic state of traffic volume. The expanding number of vehicles based on wireless connectivity provides new potential to predict traffic density more accurately and in real time as previously used methodologies. We explore the topic of assessing traffic density by using only a few simple metrics, such as the number of surrounding vehicles and disseminating beacons to roadside units and vice versa. This research paper investigates TDE techniques and presents a novel Markov model-based TDE technique for ITS. Finally, an OMNET++-based approach with an implementation of a significant modification of a traffic model combined with mathematical modeling of the Markov model is presented. It is intended for the study of real-world traffic traces, the identification of model parameters, and the development of simulated traffic.
Fulltext Research trends, developments, and future perspectives in brand attitude: A bibliometric analysis utilizing the Scopus database (1944-2021)

Hashem E AR, Md Salleh NZ, Abdullah M, Ali A, Faisal F, Nor RM

Heliyon, 2023 Jan;9(1):e12765.
PMID: 36685379 DOI: 10.1016/j.heliyon.2022.e12765

Brand attitude has been the primary concern for corporation sustainability for a long. Studies have focused on various attributes concerning brand attitude comprising of many research articles. This study focuses on bibliometric analysis of brand attitude examining 1497 documents published for the years 1944-2021. The purpose of this study is to examine historic research trends, developments, and future conduits based on co-authorship and co-occurrence analysis using VOSviewer. The study highlights the most prolific articles containing the most productive authors and their affiliations, keywords, and influential journals, along with future research trends. The result shows that the number of publications follows a very slow trail until 2008, mildly until 2012, following which the cumulative growth in publication increased manifold. Further, results show that researchers from the United States, South Korea, and Taiwan extended many efforts to the global knowledge of literature leading other countries. The emerging hotspot keywords analysis suggests that brand avoidance, subtle, brand betrayal, consumer ethnocentrism, environmental sustainability and policy, brand activism, brand authenticity, consumer brand engagement, and brand competence are the key areas that attract researchers' attention policymakers as future research boulevards. In the case of consumers' brand attitudes, there is a scarcity of studies that investigated the consumers' implicit and explicit brand attitudes.
Synthesis, anti-diabetic and in silico QSAR analysis of flavone hydrazide Schiff base derivatives

Jamil W, Shaikh J, Yousuf M, Taha M, Khan KM, Shah SAA

J Biomol Struct Dyn, 2022;40(23):12723-12738.
PMID: 34514955 DOI: 10.1080/07391102.2021.1975565

This study reports synthesis of flavone hydrazide Schiff base derivatives with diverse functionalities for the cure of diabetic mellitus and their a-glucosidase inhibitor and in silico studies. In this regard, Flavone derivatives 1-20 has synthesized and characterized by various spectroscopic techniques. These compounds showed significant potential towards a-glucosidase enzyme inhibition activity and found to be many fold better active than the standard Acarbose (IC50 = 39.45 ± 0.11 µM). The IC50values ranges 1.02-38.1 µM. Among these, compounds 1(IC50 = 4.6 ± 0.23 µM), 2(IC50 = 1.02 ± 0.2 µM), 3(IC50 = 7.1 ± 0.11 µM), 4(IC50 = 8.3 ± 0.34 µM), 5(IC50 = 7.4 ± 0.15 µM), 6(IC50 = 8.5 ± 0.27 µM) and 18 (IC50 = 1.09 ± 0.26 µM) showed highest activity. It was revealed that the analogues having -OH substitution have higher activity than their look likes. The molecular docking analysis revealed that these molecules have high potential to interact with the protein molecule and have high ability to bind with the enzyme. Furthermore, in silico pharmacokinetics, physicochemical studies were also performed for these derivatives. The bioavailability radar analysis explored that of all these compounds have excellent bioavailability for five (5) descriptors, however, the sixth descriptor of instauration is slightly increased in all compounds.Communicated by Ramaswamy H. Sarma.
Fulltext Predictors of Repeat Cesarean Section in Women with One Previous Lower Segment Cesarean Section: A Retrospective Study from Malaysia

Wan-Nur-Hajidah WMH, Siti-Azrin AH, Norsa'adah B, Fauziah J, Wan-Nor-Asyikeen WA

Saudi J Med Med Sci, 2023;11(1):67-72.
PMID: 36909011 DOI: 10.4103/sjmms.sjmms_256_22

BACKGROUND: The rates of repeat cesarean section (CS) among women with previous CS are increasing worldwide. The predictors of a repeat CS can vary across different populations.
OBJECTIVE: To determine the predictors of repeat CS among women from Malaysia with one previous lower segment CS (LSCS) who underwent trial of labor (TOLAC).
MATERIALS AND METHODS: This retrospective cohort study included women with one previous LSCS who followed up and delivered their current pregnancy at Hospital Universiti Sains Malaysia (USM), Kelantan, Malaysia, between January 01, 2016, and December 31, 2017. Women with singleton pregnancies were included while those who had a history of classical CS, current pregnancy with preterm birth, non-cephalic pregnancy, lethal fetal anomalies, uterine rupture, and severe preeclampsia or planned for elective CS were excluded. Logistic regressions were performed.
RESULTS: The study included 388 women who underwent TOLAC and successfully gave childbirth through vaginal birth after cesarean (VBAC) (n = 194) or emergency LSCS (n = 194). Factors significantly associated with repeat CS were no history of vaginal delivery (adjusted odds ratio (aOR): 2.71; 95% confidence interval (CI): 1.60, 4.60; P < 0.001), estimated fetal weight ≥3500 grams (aOR: 4.78; 95% CI: 2.45-9.34; P < 0.001), and presence of meconium-stained liquor (aOR: 2.40; 95% CI: 1.33-4.35; P = 0.004).
CONCLUSION: The above-mentioned predictors of a repeat CS among women from Malaysia with one previous LSCS who underwent TOLAC can be useful for clinicians in making an informed decision.
Effect of Thermal Radiation on Three-Dimensional Magnetized Rotating Flow of a Hybrid Nanofluid

Asghar A, Lund LA, Shah Z, Vrinceanu N, Deebani W, Shutaywi M

Nanomaterials (Basel), 2022 May 05;12(9).
PMID: 35564275 DOI: 10.3390/nano12091566

The effect of thermal radiation on the three-dimensional magnetized rotating flow of a hybrid nanofluid has been numerically investigated. Enhancing heat transmission is a contemporary engineering challenge in a range of sectors, including heat exchangers, electronics, chemical and biological reactors, and medical detectors. The main goal of the current study is to investigate the effect of magnetic parameter, solid volume fraction of copper, Eckert number, and radiation parameter on velocity and temperature distributions, and the consequence of solid volume fraction on declined skin friction and heat transfer against suction and a stretching/shrinking surface. A hybrid nanofluid is a contemporary type of nanofluid that is used to increase heat transfer performance. A linear similarity variable is−applied to convert the governing partial differential equations (PDEs) into corresponding ordinary differential equations (ODEs). Using the three-stage Labatto III-A method included in the MATLAB software’s bvp4c solver, the ODE system is solved numerically. In certain ranges of involved parameters, two solutions are received. The temperature profile θη upsurges in both solutions with growing values of EC and Rd. Moreover, the conclusion is that solution duality exists when the suction parameter S≥Sci, while no flow of fluid is possible when S
Fulltext Influence of hydrogenated diesel/H2O2 blend fuel on diesel engine performance and exhaust emission characterization

Moujdin IA, Khan MS, Abulkhair HA, Shaiban AA, Organji HA, Alsaiari AO

Sci Rep, 2023 Jan 16;13(1):836.
PMID: 36646741 DOI: 10.1038/s41598-023-27569-5

The oxygenated hydro diesel (OHD) is prepared from hydrogen peroxide (H2O2), acetone, and seaweed polysaccharide. A long-term study was carried out on the OHD fuel blend stability for about a year at various temperatures. The long-term stability shows very stable properties, no easy emulsion breaking, and a long storage period. The neat diesel and blend fuel performance test was conducted at various engine speeds, 1700-3100 RPM the diesel blend with 5 wt.% and 10 wt. % of H2O2 revealed the best fraction for reducing smoke and emissions. The blend contains 15 wt.% H2O2, revealing a significant reduction in exhaust temperature without considering the engine's performance. Moreover, the performance of the OHD also revealed an economizing rate, decreasing environmental pollution and prolonging the engine's service life. The diesel engine performance and environmental evaluation leading to exhaust emissions characterization ([Formula: see text], [Formula: see text], and others). Based on the results, the various concentrations of H2O2 are an effective method for reducing the emission of diesel engines. Decreased CO, SO2, unburned hydrocarbons, and NO2 were also observed as percentages of H2O2. Due to increased oxygen content, water content and cetane number, the number of unburned hydrocarbons from diesel fuel decreased with the addition of H2O2. Therefore, the OHD blend can significantly curtail the exhaust emission of conventional diesel fuel, which will help reduce the harmful greenhouse gas emissions from diesel fuel sources.
Fulltext Magnetized mixed convection hybrid nanofluid with effect of heat generation/absorption and velocity slip condition

Asghar A, Chandio AF, Shah Z, Vrinceanu N, Deebani W, Shutaywi M, et al.

Heliyon, 2023 Feb;9(2):e13189.
PMID: 36747513 DOI: 10.1016/j.heliyon.2023.e13189

Through a vertically shrinking sheet, a two-dimensional magnetic nanofluid is numerically analyzed for convection, heat generation and absorption, and the slip velocity effect. In this research, Al2O3-Cu/water composite nanofluid is studied, where water is deemed the base liquid and copper (Cu) and alumina (Al2O3) are the solid nanoparticles. Modern composite nanofluids improve heat transfer efficiency. Using the Tiwari-Das model, the current study examines the effects of the solid volume fraction of copper, heat generation/absorption, MHD, mixed convection, and velocity slip parameters on velocity and temperature distributions. Introducing exponential similarity variables converts nonlinear partial differential equations (PDEs) to ordinary differential equations (ODEs). MATLAB bvp4c solver is used to solve ODEs. Results showed dual solutions for suction with 0%-10% copper nanoparticles and 1%-500% heat generation/absorption. As copper (Cu) solid volume percentage increases from 0% to 10%, reduced skin friction f ″ ( 0 ) boosts in the first solution but falls in the second. When Cu is added to both solutions, heat transport - θ ' ( 0 ) decreases. As heat generation/absorption increases 1%-500%, - θ ' ( 0 ) decreases in both solutions. In conclusion, solution dichotomy exists when suction parameter S ≥ S c i in assisting flow case, while no fluid flow is possible when S < S c i .
Does educated labor force is managing the green economy in BRCS? Fresh evidence from NARDL-PMG approach

Naseer S, Song H, Chupradit S, Maqbool A, Hashim NAAN, Vu HM

Environ Sci Pollut Res Int, 2021 Nov 03.
PMID: 34731420 DOI: 10.1007/s11356-021-16834-7

It is observed that an educated labor force can increase the absorption capacity of the economy and improve the effectiveness of green technologies that lead to a reduction in potential CO2 emissions. The study investigates whether an educated labor force contributes to the management of the green economy or not in BRCS economies. Panel ARDL-PMG and NARDL-PMG approaches have been employed for empirical analysis for data ranging from 1995 to 2019. According to the ARDL-PMG results, a highly educated labor force contributes to alleviating CO2 emissions in the long run. In contrast, the findings of NARDL-PMG infer that positive component of a highly educated labor force has a significant negative impact on CO2 emissions, while negative component of a highly educated labor force has a positive impact on CO2 emissions in the long run. The study suggests that BRCS countries' policymakers should promote education and training for the labor force to maintain a reduction in CO2 emissions.
Analyzing the Impact of Active Attack on the Performance of the AMCTD Protocol in Underwater Wireless Sensor Networks

Saeed K, Khalil W, Al-Shamayleh AS, Ahmad I, Akhunzada A, ALharethi SZ, et al.

Sensors (Basel), 2023 Mar 11;23(6).
PMID: 36991755 DOI: 10.3390/s23063044

The exponentially growing concern of cyber-attacks on extremely dense underwater sensor networks (UWSNs) and the evolution of UWSNs digital threat landscape has brought novel research challenges and issues. Primarily, varied protocol evaluation under advanced persistent threats is now becoming indispensable yet very challenging. This research implements an active attack in the Adaptive Mobility of Courier Nodes in Threshold-optimized Depth-based Routing (AMCTD) protocol. A variety of attacker nodes were employed in diverse scenarios to thoroughly assess the performance of AMCTD protocol. The protocol was exhaustively evaluated both with and without active attacks with benchmark evaluation metrics such as end-to-end delay, throughput, transmission loss, number of active nodes and energy tax. The preliminary research findings show that active attack drastically lowers the AMCTD protocol's performance (i.e., active attack reduces the number of active nodes by up to 10%, reduces throughput by up to 6%, increases transmission loss by 7%, raises energy tax by 25%, and increases end-to-end delay by 20%).
Factors affecting central macular thickness of diabetic macular oedema patients after an induction treatment of intravitreal ranibizumab

Nursyafiqah MT, Siti-Azrin AH, Yaacob NM, Wan-Nor-Asyikeen WA, Zunaina E

Trop Med Int Health, 2023 Apr;28(4):300-307.
PMID: 36787961 DOI: 10.1111/tmi.13862

OBJECTIVE: Intravitreal ranibizumab is one of the anti-vascular endothelial growth factors used for the treatment of diabetic macular oedema, not always successfully. We aimed to identify the factors affecting the changes of central macular thickness after induction treatment with intravitreal ranibizumab, to predict the treatment effect and facilitate early treatment decisions.
METHODS: Cross-sectional study involving a retrospective record review of diabetic macular oedema patients who received an induction treatment of three monthly 0.5 mg intravitreal ranibizumab injections between 2016 and 2019. Central macular thickness was measured at baseline and 3 months post-treatment. Linear regression was applied to identify the factors associated with the changes of central macular thickness.
RESULTS: A total of 153 diabetic macular oedema patients were involved in this study. Their mean age was 57.5 ± 7.7 years, 54.9% were female. The mean change of central macular thickness from baseline to 3 months after completed induction treatment of intravitreal ranibizumab was 155.5 ± 137.8 μm. Factors significantly associated with changes of central macular thickness were baseline central macular thickness [b = 0.73; 95% (CI): 0.63, 0.84; p = <0.001] and presence of subretinal fluid [b = 35.43; 95% CI: 3.70, 67.16; p = 0.029].
CONCLUSION: Thicker baseline central macular thickness and presence of subretinal fluid were the factors significantly associated with greater changes of central macular thickness in diabetic macular oedema patients after receiving three injections of intravitreal ranibizumab.
Fulltext Incorporating theoretical and PRACTICAL approaches to assess the amount of sunlight CAPTURED by a tilted surface in a tropical climate

Hakemzadeh MH, Ibrahim A, Sopian K, Abd Hamid AS, Jarimi H

Heliyon, 2023 Mar;9(3):e14661.
PMID: 37020933 DOI: 10.1016/j.heliyon.2023.e14661

Global solar radiation can theoretically be approximated in terms of tilt and azimuth of the surface regarding the impossibility of simultaneous measurement of solar radiation at various surface tilt and azimuth angles. Moreover, the random and anisotropic nature of diffuse radiation in a tropical climate makes it extremely difficult to estimate global solar radiation accurately as a function of surface tilt and azimuth angles. This study aims to develop a novel experimental and theoretical approach in the form of a computational network in order to determine a precise combined model integrated with global horizontal solar radiation to evaluate global tilted solar radiation in a tropical climate. Obtained results revealed that precisely estimation of the global tilted solar radiation was possible, by combining geometric factors for the tilted beam solar radiation, a combination of Gueymard and Louche models for the tilted diffuse solar radiation, and isotropic ground reflectance model for the ground reflected radiation, along with global horizontal solar radiation. It was observed that the accuracy of the model developed was higher for the partly sunny sky compared to the cloudy and rainy sky, estimates were more accurate on south-facing surfaces, and the model's accuracy declined with the increasing tilt angle of the surface. The statistical analysis exhibited excellent agreement between the measured data and simulation results, considering the value of normalized mean absolute error (nMAE %), normalized root mean squared error (nRMSE %), and mean absolute percentage error (MAPE %), which were in the ranges 0.22-0.94, 0.27-1.11, and 0.23-1.02, respectively for estimating global tilted solar radiation in various regions of Peninsular Malaysia, and they were respectively found in the range of 10.2-27.5%, 16.1-38.9%, and 6.0-17.8%, for evaluating the monthly optimum tilt angle towards the south, that leads to a loss of solar energy from 1.3 to 5.4 kWh/m2/year in Peninsular Malaysia. This search revealed that the experimental and theoretical approach employed in this study can be extended to more climatic regions.

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