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Fulltext The Psychological Impact Analysis of Novel COVID-19 Pandemic in Health Sciences Students: A Global Survey

Bashir TF, Hassan S, Maqsood A, Khan ZA, Issrani R, Ahmed N, et al.

Eur J Dent, 2020 Dec;14(S 01):S91-S96.
PMID: 33368064 DOI: 10.1055/s-0040-1721653

OBJECTIVE: To evaluate the anxiety and depression amid novel coronavirus disease-19 (COVID-19) pandemic in health sciences students around the globe.
MATERIALS AND METHODS: This cross-sectional observational study comprised 523 health science students. A well-structured online questionnaire consisting of closed-ended questions based on student's general information, Patient Heath Questionnaire (PHQ)-9 and Generalized Anxiety Disorder (GAD)-7 scales were used to assess the psychological impact of COVID-19.
STATISTICAL ANALYSIS: SPSS-25 was used to analyze the outcome of this study. Multiple linear regression analysis test was used to assess variables which had impact on PHQ-9 and GAD-7 scores among the participants. A p-value of ≤ 0.05 was considered as statistically significant.
RESULTS: Among the 523 participants, 365 (69.55%) students were from developing countries and 158 (30.21%) from developed countries; 424 (81.1%) students were tested negative for COVID-19 and 99 (18.9%) had suffered from severe acute respiratory syndrome coronavirus 2 infection during pandemic. The mean GAD-7 and PHQ-9 scores were 7.16 ± 5.755 and 7.30 ± 6.166, respectively. Significant impact on anxiety levels was associated with age, gender, education status, and COVID-19 positive patient, while depression was not significantly associated with gender, COVID-19, and its reported symptoms in participants.
CONCLUSION: As the world is trying to contain the health effects of COVID-19, the psychological effects might take a longer time to be addressed. Our study highlights the dire need to identify mental well-being of health science students as this may have a direct impact on their professional commitments and future responsibilities.
Fulltext A 2D Photographic and 3D Digital Dental Model Analysis of Golden Percentage in Maxillary Anterior Teeth

Ahmed N, Halim MSB, Ghani ZA, Khan ZA, Abbasi MS, Jamayet NB, et al.

Biomed Res Int, 2021;2021:6674400.
PMID: 33969123 DOI: 10.1155/2021/6674400

The objective of this paper was to evaluate the existence of golden percentage in natural maxillary anterior teeth with the aid of 3D digital dental models and 2D photographs. And to propose regional values of golden percentage for restoration of maxillary anterior teeth. For this purpose, one hundred and ninety dentate subjects with sound maxillary anterior teeth were selected. Standardized frontal images were captured with DSLR, and the apparent width of maxillary anterior teeth was measured utilizing a software on a personal laptop computer. Once the dimensions were recorded, the calculations were made according to the golden percentage theory (GPT). The data were analyzed by independent and paired T-test. The level of significance was set at p < 0.05. The golden percentage values were not found in this study. The values obtained were 16%, 15%, 20%, 20%, 15%, and 16% moving from the right canine to the left canine teeth. There was no significant gender difference in the golden percentage values. Thus, golden percentage should not be used solely for the correction of anterior teeth or for determining dental attractiveness. Emphasis should be given to a range of dental proportion on regional basis.
Bioenergy consumption, carbon emissions, and agricultural bioeconomic growth: A systematic approach to carbon neutrality in China

Koondhar MA, Tan Z, Alam GM, Khan ZA, Wang L, Kong R

J Environ Manage, 2021 Oct 15;296:113242.
PMID: 34271346 DOI: 10.1016/j.jenvman.2021.113242

China is the world's largest fossil fuel consumer and carbon emitter country. In September 2020, China pledged to reduce carbon emissions, and achieve carbon neutrality by 2060. Therefore, this study aimed to contribute to the literature and show the pictorial nexus of bioenergy and fossil fuel consumption, carbon emission, and agricultural bioeconomic growth, a new pathway towards carbon neutrality. For this study, time-series data from 1971 to 2019 were used to analyze the autoregressive distributed lag (ARDL) bound testing and novel dynamic autoregressive distributed lag (DYNARDL) simulation models. Initially, the unit root tests results showed that all variables were stationarity at the level and first difference. The presence of cointegration between selected variables was confirmed by the results from ARDL bound test. In addition, the results of long-run and short-run nexus show an increase in bioenergy consumption that caused an increase in agricultural bioeconomic growth both in the long and short-run nexus. A decrease in fossil fuel consumption was shown to result in increased agricultural bioeconomic growth with respect to both long- and short-term effects. Furthermore, the results of the novel dynamic ARDL simulation model demonstrated that a 10% positive shock from bioenergy consumption caused an increase in agricultural bioeconomic growth, while at the same time, a 10% negative shock in bioenergy consumption led to a decrease. A 10% negative shock from fossil fuels caused an increase in agricultural bioeconomic growth, whereas a 10% positive shock from fossil fuels led to a decrease. Therefore, this study suggests that China needs to switch from fossil fuel and other non-renewable energy consumption to sources of bioenergy and other renewable energy consumption to achieve carbon neutrality by 2060.
Synthesis, molecular docking and anti-diabetic studies of novel benzimidazole-pyrazoline hybrid molecules

Ibraheem F, Ahmad M, Ashfaq UA, Aslam S, Khan ZA, Sultan S

Pak J Pharm Sci, 2020 Mar;33(2(Supplementary)):847-854.
PMID: 32863261

Pyrazoline and benzimidazoles derivatives have been widely studied due to their potential applications in the medicinal field. In this research project, we have hybridized these two heterocyclic systems in the same molecule. A new series of compounds, 2-((3,5-diaryl-4,5-dihydro-1H-pyrazol-1-yl)methyl)-1H-benzo[d]imidazole (5a-i) were synthesized through a multistep reaction. In the first step, chalcones 3a-i were prepared by coupling of various acetophenones and benzaldehydes under alkaline conditions. These chalcones were cyclized with hydrazine hydrate to form a series of pyrazolines which were finally coupled with 2-chloromethyl-1H-benzimidazole to get a new series of titled hybrid molecules. The structures of these compounds were elucidated by spectral (1H NMR and 13C NMR) analysis. The anti-diabetic potential of these compounds was studied by screening them for their α-glucosidase inhibition activity. The SAR was established through molecular docking analysis. Compound 5d appeared as effective inhibitor with IC50 = 50.06μM as compared to reference drug (acarbose) having IC50 = 58.8μM.
Analyzing and Modelling the Corrosion Behavior of Ni/Al2O3, Ni/SiC, Ni/ZrO2 and Ni/Graphene Nanocomposite Coatings

Nazir MH, Khan ZA, Saeed A, Bakolas V, Braun W, Bajwa R, et al.

Materials (Basel), 2017 Oct 25;10(11).
PMID: 29068395 DOI: 10.3390/ma10111225

A study has been presented on the effects of intrinsic mechanical parameters, such as surface stress, surface elastic modulus, surface porosity, permeability and grain size on the corrosion failure of nanocomposite coatings. A set of mechano-electrochemical equations was developed by combining the popular Butler-Volmer and Duhem expressions to analyze the direct influence of mechanical parameters on the electrochemical reactions in nanocomposite coatings. Nanocomposite coatings of Ni with Al₂O₃, SiC, ZrO₂ and Graphene nanoparticles were studied as examples. The predictions showed that the corrosion rate of the nanocoatings increased with increasing grain size due to increase in surface stress, surface porosity and permeability of nanocoatings. A detailed experimental study was performed in which the nanocomposite coatings were subjected to an accelerated corrosion testing. The experimental results helped to develop and validate the equations by qualitative comparison between the experimental and predicted results showing good agreement between the two.
Can environmentally friendly technology help China to achieve a carbon neutrality target by 2060? An asymmetrical based study in China

Nurgazina Z, Guo Q, Ali U, Sharif A, Khan ZA, Kartal MT, et al.

Environ Sci Pollut Res Int, 2023 Jun 13.
PMID: 37308627 DOI: 10.1007/s11356-023-27904-3

Climate change-related environmental challenges are prompting an increasing number of countries to set carbon-neutral targets. Since 2007, China has pursued numerous initiatives to attain carbon neutrality by 2060, including increasing the percentage of non-fossil energy, developing zero-emission and low-emission technologies, and taking actions that reduce CO2 emissions or boost carbon sinks. As a result, utilizing quarterly data from 2008/Q1 to 2021/Q4, and applying the nonlinear autoregressive distributed lag (NARDL) approach, this study evaluates the effectiveness of the measures taken by China to improve the ecological situation. The results of the study show that the measures enacted to reduce CO2 emissions did not accomplish their ultimate purpose. Specifically: (i) high-speed railways and new energy vehicles do not improve the environment in the long run; (ii) investments and patents in the energy sector, as well as low-carbon sources, will degrade the environment; (iii) only investments in the treatment of environmental pollution will improve the ecological situation. Various policy implications are suggested based on the empirical results in order to attain environmental sustainability.
Fulltext A Neighborhood and Machine Learning-Enabled Information Fusion Approach for the WSNs and Internet of Medical Things

Khan ZA, Naz S, Khan R, Teo J, Ghani A, Almaiah MA

Comput Intell Neurosci, 2022;2022:5112375.
PMID: 35449734 DOI: 10.1155/2022/5112375

Data redundancy or fusion is one of the common issues associated with the resource-constrained networks such as Wireless Sensor Networks (WSNs) and Internet of Things (IoTs). To resolve this issue, numerous data aggregation or fusion schemes have been presented in the literature. Generally, it is used to decrease the size of the collected data and, thus, improve the performance of the underlined IoTs in terms of congestion control, data accuracy, and lifetime. However, these approaches do not consider neighborhood information of the devices (cluster head in this case) in the data refinement phase. In this paper, a smart and intelligent neighborhood-enabled data aggregation scheme is presented where every device (cluster head) is bounded to refine the collected data before sending it to the concerned server module. For this purpose, the proposed data aggregation scheme is divided into two phases: (i) identification of neighboring nodes, which is based on the MAC address and location, and (ii) data aggregation using k-mean clustering algorithm and Support Vector Machine (SVM). Furthermore, every CH is smart enough to compare data sets of neighboring nodes only; that is, data of nonneighbor is not compared at all. These algorithms were implemented in Network Simulator 2 (NS-2) and were evaluated in terms of various performance metrics, such as the ratio of data redundancy, lifetime, and energy efficiency. Simulation results have verified that the proposed scheme performance is better than the existing approaches.
Fulltext Surfactant modified/mediated thin-layer chromatographic systems for the analysis of amino acids

Bhawani SA, Albishri HM, Khan ZA, Mohamad Ibrahim MN, Mohammad A

J Anal Methods Chem, 2013;2013:973280.
PMID: 24455427 DOI: 10.1155/2013/973280

This review incorporates a large number of chromatographic systems modified by the surfactants. A large number of solvent systems and stationary phases are summarized in this paper. Three different kinds of surfactants (anionic, cationic, and nonionic) are used as modifiers for stationary phases as well as solvent systems. Surfactants are used at all the three different concentration levels (below, above, and at critical micelle concentration) where surfactants behave differently. Modifications of both stationary phases and solvent systems by surfactants produced a new generation of chromatographic systems. Microemulsion solvent systems are also incorporated in this paper. Microemulsion thin-layer chromatography is a new approach in the field of chromatography.
Fulltext Evaluating CNC Milling Performance for Machining AISI 316 Stainless Steel with Carbide Cutting Tool Insert

Equbal A, Equbal MA, Equbal MI, Ravindrannair P, Khan ZA, Badruddin IA, et al.

Materials (Basel), 2022 Nov 15;15(22).
PMID: 36431537 DOI: 10.3390/ma15228051

The present study investigates the CNC milling performance of the machining of AISI 316 stainless steel using a carbide cutting tool insert. Three critical machining parameters, namely cutting speed (v), feed rate (f) and depth of cut (d), each at three levels, are chosen as input machining parameters. The face-centred central composite design (FCCCD) of the experiment is based on response surface methodology (RSM), and machining performances are measured in terms of material removal rate (MRR) and surface roughness (SR). Analysis of variance, response graphs, and three-dimensional surface plots are used to analyse experimental results. Multi-response optimization using the data envelopment analysis based ranking (DEAR) approach is used to find the ideal configuration of the machining parameters for milling AISI 316 SS. The variables v = 220 m/min, f = 0.20 mm/rev and d = 1.2 mm were obtained as the optimal machine parameter setting. Study reveals that MRR is affected dominantly by d followed by v. For SR, f is the dominating factor followed by d. SR is found to be almost unaffected by v. Finally, it is important to state that this work made an attempt to successfully machine AISI 316 SS with a carbide cutting tool insert, to investigate the effect of important machining parameters on MRR and SR and also to optimize the multiple output response using DEAR method.
Fulltext Assessing the Prevalence and Association of Pulp Stones with Cardiovascular Diseases and Diabetes Mellitus in the Saudi Arabian Population-A CBCT Based Study

Srivastava KC, Shrivastava D, Nagarajappa AK, Khan ZA, Alzoubi IA, Mousa MA, et al.

Int J Environ Res Public Health, 2020 12 11;17(24).
PMID: 33322604 DOI: 10.3390/ijerph17249293

The detection of pulp stone in a patient suffering from undiagnosed systemic diseases can be an early diagnostic indicator. Thus, the aim of the study was to assess the prevalence of pulp stones in the Saudi Arabian population with cardiovascular diseases and diabetes mellitus. In a retrospective study, we included cone-beam computed tomography (CBCT) scans of 73 patients with cardiovascular disease and 76 patients with diabetes mellitus as group I and II, respectively. Group III comprised of CBCT scan of 80 healthy controls. From a total of 229 scans, 4807 teeth were screened for pulp stones throughout the arches. A chi-square test was used for comparing the prevalence of pulp stones among the groups. Univariable and multivariable analysis was done to evaluate the independent risk indicators for pulp stones. The tooth-wise prevalence of pulp stones in group I, II, and III was found to be 16.65%, 9.01%, and 3.86%, respectively. Patient-wise (p < 0.01) and tooth-wise (p < 0.01) prevalence was recorded significantly highest in the cardiovascular group followed by the diabetic group. The control group had the least prevalence. Significantly (p < 0.01) higher number of pulp stones were found in cardiovascular patients with age > 50 years compared to other groups. Similarly, a significantly increased number of pulp stones were seen in the 1st molar (p < 0.05) and the maxillary jaw (p < 0.05) of patients with cardiovascular diseases. Subjects with cardiovascular disease and diabetes were found to have 2.94 times (p < 0.001; CI 1.54-3.10) and 1.81 times (p < 0.01; CI 0.48-2.06) higher risk of having pulp stones in comparison to healthy subjects. The first molar has 2.20 times (p < 0.001; CI 0.84-2.45) increased the risk of having pulp stones compared to other tooth types. Systemic disease such as cardiovascular disease and diabetes mellitus poses a higher risk for the development of pulp stones. Among the systemic disease group, patients in the cardiovascular group showed a higher risk for pulp stones and also reported the maximum number of pulp stones compared to the diabetic and healthy subjects.
Fulltext The Evaluation of Clinical Signs and Symptoms of Malignant Tumors Involving the Maxillary Sinus: Recommendation of an Examination Sieve and Risk Alarm Score

Bashir A, Khan ZA, Maqsood A, Prabhu N, Saleem MM, Alzarea BK, et al.

Healthcare (Basel), 2023 Jan 09;11(2).
PMID: 36673562 DOI: 10.3390/healthcare11020194

This observational study was conducted to evaluate the clinical signs and symptoms of maxillary sinus tumors and to propose a clinical examination sieve and a unique risk alarm score to be used for timely patient referral and vigilance. The study consisted of 70 patients between 20 to 82 years of age from both sexes. The clinical information gained was collected from the upper dentoalveolar segment, orbit, and nasal sites. Regarding the early clinical sign and symptoms of patients, nasal obstruction was found in 67 patients (95.7%), facial swelling in 69 patients (98.6%), paresthesia in 41 patients (58.6%), and epistaxis in 50 patients (71.4%). Furthermore, in terms of the late signs and symptoms, a palpable mass in buccal sulcus was observed in 65 (92.9%) of the patients, lymphadenopathy in 24 (34.3%), paresthesia in 38 (54.3%), and diplopia in 22 (31.4%). Furthermore, general sign and symptoms like exophthalmos was present in 35 patients (50%), anosmia was observed in 37 patients (52.9%), and oroantral fistula was noted in 37 patients (55.9%). Additionally, 67 (95.7%) of the patients complained of nasal obstruction. Similarly, facial asymmetry was observed in 69 (98.6%) of the patients and double vision was observed in 24 (34.4%). Tumors of the maxillary sinus have a very insidious course of spread and uncertain clinical signs and symptoms. What makes diagnosis worse is the fact that the symptoms of these tumors are so well hidden in the sponge-like nature of the midfacial region that they are easily misinterpreted by patients. Therefore, diagnoses must be made early, dentists must be vigilant, and patients must be fully investigated at the slightest suspicion of a tumor, albeit benign.
Fulltext Compositional difference in antioxidant and antibacterial activity of all parts of the Carica papaya using different solvents

Asghar N, Naqvi SA, Hussain Z, Rasool N, Khan ZA, Shahzad SA, et al.

Chem Cent J, 2016;10:5.
PMID: 26848308 DOI: 10.1186/s13065-016-0149-0

Carica papaya is a well known medicinal plant used in the West and Asian countries to cope several diseases. Patients were advised to eat papaya fruit frequently during dengue fever epidemic in Pakistan by physicians. This study was conducted to establish Polyphenols, flavonoids and antioxidant potential profile of extracts of all major parts of the C. papaya with seven major solvents i.e. water, ethanol, methanol, n-butanol, dichloromethane, ethyl acetate, and n-hexane.
Fulltext SARS-CoV-2 Omicron and its current known unknowns: A narrative review

Le TTB, Vasanthakumaran T, Thi Hien HN, Hung IC, Luu MN, Khan ZA, et al.

Rev Med Virol, 2023 Jan;33(1):e2398.
PMID: 36150052 DOI: 10.1002/rmv.2398

The emergence of the SARS-CoV-2 Omicron variant (B.1.1.529) has created great global distress. This variant of concern shows multiple sublineages, importantly B.1.1.529.1 (BA.1), BA.1 + R346K (BA.1.1), and B.1.1.529.2 (BA.2), each with unique properties. However, little is known about this new variant, specifically its sub-variants. A narrative review was conducted to summarise the latest findings on transmissibility, clinical manifestations, diagnosis, and efficacy of current vaccines and treatments. Omicron has shown two times higher transmission rates than Delta and above ten times more infectious than other variants over a similar period. With more than 30 mutations in the spike protein's receptor-binding domain, there is reduced detection by conventional RT-PCR and rapid antigen tests. Moreover, the two-dose vaccine effectiveness against Delta and Omicron variants was found to be approximately 21%, suggesting an urgent need for a booster dose to prevent the possibility of breakthrough infections. However, the current vaccines remain highly efficacious against severe disease, hospitalisation, and mortality. Japanese preliminary lab data elucidated that the Omicron sublineage BA.2 shows a higher illness severity than BA.1. To date, the clinical management of Omicron remains unchanged, except for monoclonal antibodies. Thus far, only Bebtelovimab could sufficiently treat all three sub-variants of Omicron. Further studies are warranted to understand the complexity of Omicron and its sub-variants. Such research is necessary to improve the management and prevention of Omicron infection.
A Prospective Observational Study of Rational Fluid Therapy in Asian Intensive Care Units: Another Puzzle Piece in Fluid Therapy

Jacob M, Sahu S, Singh YP, Mehta Y, Yang KY, Kuo SW, et al.

Indian J Crit Care Med, 2020 Nov;24(11):1028-1036.
PMID: 33384507 DOI: 10.5005/jp-journals-10071-23653

Introduction: Fluid therapy in critically ill patients, especially timing and fluid choice, is controversial. Previous randomized trials produced conflicting results. This observational study evaluated the effect of colloid use on 90-day mortality and acute kidney injury (RIFLE F) within the Rational Fluid Therapy in Asia (RaFTA) registry in intensive care units.
Materials and methods: RaFTA is a prospective, observational study in Asian intensive care unit (ICU) patients focusing on fluid therapy and related outcomes. Logistic regression was performed to identify risk factors for increased 90-day mortality and acute kidney injury (AKI).
Results: Twenty-four study centers joined the RaFTA registry and collected 3,187 patient data sets from November 2011 to September 2012. A follow-up was done 90 days after ICU admission. For 90-day mortality, significant risk factors in the overall population were sepsis at admission (OR 2.185 [1.799; 2.654], p < 0.001), cumulative fluid balance (OR 1.032 [1.018; 1.047], p < 0.001), and the use of vasopressors (OR 3.409 [2.694; 4.312], p < 0.001). The use of colloids was associated with a reduced risk of 90-day mortality (OR 0.655 [0.478; 0.900], p = 0.009). The initial colloid dose was not associated with an increased risk for AKI (OR 1.094 [0.754; 1.588], p = 0.635).
Conclusion: RaFTA adds the important finding that colloid use was not associated with increased 90-day mortality or AKI after adjustment for baseline patient condition.
Clinical significance: Early resuscitation with colloids showed potential mortality benefit in the present analysis. Elucidating these findings may be an approach for future research.
How to cite this article: Jacob M, Sahu S, Singh YP, Mehta Y, Yang K-Y, Kuo S-W, et al. A Prospective Observational Study of Rational Fluid Therapy in Asian Intensive Care Units: Another Puzzle Piece in Fluid Therapy. Indian J Crit Care Med 2020;24(11):1028-1036.

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