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Fulltext Silent cries behind closed doors: An online empirical assessment of fear of COVID-19, situational depression, and quality of life among Pakistani citizens

Ashraf MU, Raza S, Ashraf A, Mehmood W, Patwary AK

J Public Aff, 2021 Jul 04.
PMID: 34512182 DOI: 10.1002/pa.2716

The present study aimed to investigate the effects of fear of COVID-19 and situational depression on the quality of life (QOL) of Pakistani citizens. An online cross-sectional survey was conducted on Pakistani citizens via the snowball sampling technique. A total of 377 respondents (256 males and 121 females) participated in this study from August to October 2020. Adapted scales were validated using confirmatory factor analysis, and partial least squares structural equation modelling (PLS-SEM) was applied to the data to test the hypothesised model. The study's findings showed a negative relationship between fear of COVID-19 and QOL. Likewise, a reciprocal relationship was found between situational depression and quality of life. The results indicate that fear of COVID-19 and situational depression during the pandemic have affected the lives of Pakistani citizens. The findings are particularly relevant for improving the QOL by limiting the information received from media and social networks. There is a need to control these mediums and promote community-based interventions to provide accurate knowledge regarding COVID-19. Fear of COVID-19 and situational depression may be reduced in this way. Based on the current findings, psychotherapy and counselling programmes must be planned to minimise the adverse effects of fear of COVID-19 and depression on the QOL of citizens due to the ongoing progression of the pandemic.
Biocompatible ionic liquids assisted transdermal co-delivery of antigenic protein and adjuvant for cancer immunotherapy

Chowdhury MR, Moshikur RM, Wakabayashi R, Moniruzzaman M, Goto M

Int J Pharm, 2021 May 15;601:120582.
PMID: 33872711 DOI: 10.1016/j.ijpharm.2021.120582

Human skin contains numerous antigen-presenting cells that are a potential target for several immune-based therapies, including vaccination and cancer immunotherapy. However, the outermost layer of the skin-the stratum corneum-acts as a major physical barrier against the permeation of antigens that have a molecular weight > 500 Da. In this study, an ionic liquid-assisted delivery system (ILDS) was developed, which enabled the successful transdermal delivery of an antigenic protein, ovalbumin (OVA), with a toll-like receptor agonist, imiquimod, as an adjuvant, to stimulate a specific immune response. Both the ionic liquids and ILDS were completely biocompatible for topical or transdermal application for therapeutic purposes. The skin permeation of the antigenic protein and adjuvant was found to be significantly enhanced because of the incorporation of a surface-active ionic liquid in the ILDS. An in vivo immunization study showed that there was a high level of OVA-specific IgG antibody production because of the enhanced permeation of the antigen and adjuvant across and into the skin. In a preclusive anticancer study, vaccination through ILDS showed stronger tumor-growth inhibition compared to control group. These results indicated that the ILDS could be a promising strategy for transdermal immunization as future therapeutics.
Antiretrovirals shortage in Kenya amid COVID-19

Ullah I, Hassan W, Tahir MJ, Ahmed A

J Med Virol, 2021 Oct;93(10):5689-5690.
PMID: 34143897 DOI: 10.1002/jmv.27134
Fulltext Economic perspective of coronavirus (COVID-19)

Usman M, Ali Y, Riaz A, Riaz A, Zubair A

J Public Aff, 2020 Aug 07.
PMID: 32837324 DOI: 10.1002/pa.2252

This study aims to present a quick overview of the novel coronavirus (afterward COVID-19) which triggers from Wuhan, spread approximately 213 countries and territories around the globe, and still currently ongoing. Particularly, we are interested to investigate the economic perspective of COVID-19. This paper uses data from online published articles and current media sources, as the COVID-19 situation is unfolding yet. To deeply explore the said matter, we divide the economic impact into six dimensions that is, Chinese economy, Central Asian economies, South Asian economies, South East and West Asian economies, European economies, Northern African, and Middle Eastern economies. The paper concludes that epidemic situations like COVID-19 severely affect economies around the globe. The basic reasons behind such severity are immobility of labor, reduction in productivity, discontinuation of the supply chain, a decline in exports, uncertainty, and so on. This study is quite important for businesses and policymakers to estimate and plan current and post-COVID-19 situations.
Fulltext Effect of Covid-19 pandemic on tourist travel risk and management perceptions

Rahman MK, Gazi MAI, Bhuiyan MA, Rahaman MA

PLoS One, 2021;16(9):e0256486.
PMID: 34469468 DOI: 10.1371/journal.pone.0256486

This study aims to explore the impact of the Covid-19 pandemic on tourists' travel risk and management perceptions. Driven on the effect of the pandemic, we investigate tourists' travel risk and management perceptions and its effect on society using a sample of 716 respondents. The data was collected through social media platforms using a representative sampling method and analyzed applying the PLS-SEM tool. The findings reveal that Covid-19 pandemic has greatly affected travel risk and management perceptions. Travel risk and management perception had a significant association with risk management, service delivery, transportation patterns, distribution channels, avoidance of overpopulated destinations, and hygiene and safety. The results also identified the mediating effect of travel risk and management perceptions. The finding of this study contributes to tourism crises and provides future research insights in the travel and tourism sector and response to change tourists' travel risk and management perceptions in the post-covid recovery period.
Fulltext Impact of complementary and alternative medicines on antiepileptic medication adherence among epilepsy patients

Farrukh MJ, Makmor-Bakry M, Hatah E, Jan TH

BMC Complement Med Ther, 2021 Feb 04;21(1):50.
PMID: 33541336 DOI: 10.1186/s12906-021-03224-2

BACKGROUND: The aim of this study was to assess the knowledge, attitude, and practice of complementary and alternative medicine (CAM) and its impact on antiepileptic drug (AED) adherence among patients with epilepsy.
METHODS: A cross-sectional study was carried out on 100 epilepsy patients, aged 18 years or older that did not have any physical or psychiatric illness. A patient-administered questionnaire was used to assess their knowledge, attitude towards, practice, and perceived effectiveness (KAPP) of CAM. Established adherence assessment tools were used to determine patient medication adherence.
RESULTS: The prevalence of CAM usage was found to be at 58%. CAM was used more frequently by males (n = 32, 60.4%) than by females (n = 26, 55.3%; p = 0.609). The most commonly used CAM included vitamins and minerals (36%), ginseng (16%), antioxidants (15%), and acupuncture (12%). A significant number of patients had low knowledge of (59%) and a positive attitude (54%) toward complementary and alternative medicine. Main reasons for using CAM were a lower price, better availability, and inadequate seizure control by AEDs. About 43% of the patients who used CAM informed their doctor. Prevalence of non-adherence to AED therapy was found to be 68%. A significant association was found between non-adherence and CAM usage (p
Fulltext Thinking About Behavior: Perspective on Meta-Behavior in Education

Amran MS, Zain SM, Jamaludin KA, Surat S

Front Psychol, 2021;12:727116.
PMID: 34466138 DOI: 10.3389/fpsyg.2021.727116

Studies on metacognitive skills have started in the past 30 years and cover various fields, including education. In general, metacognitive skills refer to awareness and monitoring cognitive processes and their ability to sharpen the mind enhancement process. However, much attention has been given to metacognition alone and less focusing on its manifestation in behaviors. Thus, this study aims to conceptualize how metacognitive concepts can be adapted in the context of behaviors. In achieving this, an in-depth analysis of relevant behavioral theories and metacognitive models was conducted. The proposed conceptual framework, named the meta-behavior framework, underscores the importance of the thinking process before an individual engages in action. Undoubtfully, this skill is vital in influencing an individual to plan, monitor and evaluate his/her actions in daily life. In short, the proposed framework is essential in expanding the current knowledge terrain on psychology, which specifically provides a new perspective in understanding how the thinking process determines behavior.
Ketogenesis and SIRT1 as a tool in managing obesity

Abduraman MA, Azizan NA, Teoh SH, Tan ML

Obes Res Clin Pract, 2020 12 25;15(1):10-18.
PMID: 33371997 DOI: 10.1016/j.orcp.2020.12.001

Obesity is a serious chronic disease and a public health concern in both developing and developed countries. Managing obesity has been a great challenge for both health care professionals and patients alike. Among the various diet programs aimed at promoting weight loss, the ketogenic diet, a diet high in fat and low in carbohydrates, has been at the forefront recently and its mechanism in weight loss is much debated. Activation of Sirtuin 1 or SIRT1 is able to circumvent various diseases, including metabolic syndrome and obesity and is thought to be a potentially reliable treatment target for both of them. Augmentation of SIRT1 may be carried out using dietary means such as nicotinamide adenine dinucleotide (NAD) supplementation and/or ketogenic diet. Although ketogenic diet may augment SIRT1 activation in people affected by obesity, recent studies have indicated that the relationship between SIRT1 and ketogenesis is unpredictable. The exact circumstances and mechanisms of SIRT1, NAD and ketogenesis in the clinical setting as an intervention tool in managing obesity remained uncertain. Although several recent literatures have documented significant weight-loss following ketogenic diet interventions, there were limitations with regards to duration of trial, choice and the number of trial subjects. Studies investigating the safety of ketogenic diet in the long term, beyond 46 weeks and related mechanism and pathways are still lacking and the sustainability of this diet remains to be determined. This review explores the recent progress on ketogenic diet and its relationships with SIRT1 as a tool in managing obesity and relevant clinical implications.
Sequential flow injection determination of chlorine species using a triiodide-selective electrode detector

Saad B, Wai WT, Ali AS, Saleh MI

Anal Sci, 2006 Jan;22(1):45-50.
PMID: 16429771

A flow injection analysis (FIA) method for the determination of four residual chlorine species, namely combined available chlorine (CAC), free available chlorine (FAC), total available chlorine (TAC) and chlorite (ClO2-) was developed using a flow-through triiodide-selective electrode as a detector. An important strategy of speciation studies utilized the kinetic discrimination of reactions between the CAC and FAC with Fe2+, which was applied to the speciation of FAC, CAC and TAC. The speciation of available chlorine species and chlorite (an oxychlorine species) was achieved by using the same set-up, but using flow streams of different pH. The effects of the pH of the carrier stream, the flow rate and the sample volume were studied. The method exhibited linearity from 2.8 x 10(-6) to 2.8 x 10(-4) M active chlorine (expressed as OCl-) with a detection limit of 1.4 x 10(-6) M. The selectivity of the method was studied by examining the minimum pH for the oxidation of iodide by other oxidants, and also by assessing the potentiometric selectivity coefficients. The proposed method was successfully applied to the determination of chlorine species in tap water, and disinfecting formulations where good agreement occurred between the proposed and standard methods were found.
Application of DEA-Based Malmquist Productivity Index on Health Care System Efficiency of ASEAN Countries

Singh S, Bala MM, Kumar N, Janor H

Int J Health Plann Manage, 2021 Jul;36(4):1236-1250.
PMID: 33855765 DOI: 10.1002/hpm.3169

This study assesses and compares the productive efficiency of the national healthcare system of the ASEAN region which includes Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam amidst rising mortality rate from noncommunicable diseases (NCDs) in the Sustainable Development Goals (SDGs) era. Nonparametric data envelopment analysis technique based on the Malmquist Productivity Index is performed and its components, total factor productivity change, technical change and technological change are compared across the region. Two different models are considered in assessing and comparing the technical efficiency of the national healthcare system across the region with life expectancy at birth and mortality rate from NCDs as parallel health care output for both the models. The mean value of total factor productivity is 0.983 and 0.974 which suggests that national healthcare system productivity efficiency decays by 1.7% for Model I and 2.6% for Model II, respectively. This suggests that the health care system inefficiencies across the ASEAN region have not made life expectancy to improve as much as it should be and curtailed the mortality rate from growing chronic NCDs within a decade. The region is likely to lag behind in achieving SDGs 3 target 4 on reducing by one-third premature mortality from chronic NCDs unless the health care system's technical efficiency is improved across the region. The finding suggests a microlevel study on each country to identify major sources of healthcare system inefficiency in a bid to ameliorate it.
Fulltext Efficacy of Aspirin for Vasculogenic Erectile Dysfunction in Men: A Meta-Analysis of Randomized Control Trials

Irfan M, Ismail SB, Noor NM, Hussain NHN

Am J Mens Health, 2020 10 29;14(5):1557988320969082.
PMID: 33111628 DOI: 10.1177/1557988320969082

One of the major causes of erectile dysfunction (ED) is an endothelial vascular disorder. This meta-analysis is performed to determine the efficacy of aspirin on erectile function in men with vasculogenic ED. For this purpose, CENTRAL, MEDLINE, and reference lists of articles up to November 2019 were searched. Randomized controlled trials (RCTs) were selected that compared aspirin with placebo in men of any ethnicity with vasculogenic ED. A total of 58 trials were retrieved. Finally, two trials of 214 men fulfilled our selection criteria. High selection and detection bias were identified for one trial. The participants showed a significant improvement in erectile function when they took aspirin (mean difference: 5.14, 95% CI [3.89, 6.40], and I2 = 0%). Although the present meta-analysis suggested that aspirin has a significant effect on the improvement of erectile function, there were limited RCTs available on this topic and doses of aspirin varied. Additional studies are needed to support findings from this meta-analysis. Aspirin needs to be considered by practitioners when prescribing drugs for vasculogenic ED.
Fulltext Health System Governance for the Integration of Mental Health Services into Primary Health Care in the Sub-Saharan Africa and South Asia Region: A Systematic Review

Abd Rahim A, Abdul Manaf R, Juni MH, Ibrahim N

Inquiry, 2021 7 20;58:469580211028579.
PMID: 34275346 DOI: 10.1177/00469580211028579

Governance has been highlighted as an important building block underpinning the process of mental health integration into primary healthcare. This qualitative systematic review aims to identify the governance issues faced by countries in the Sub-Saharan Africa and South Asia Region in the implementation of integrated primary mental healthcare. PRISMA guideline was used to conduct a systematic search of relevant studies from 4 online databases that were filtered according to inclusion and exclusion criteria. Using the Critical Appraisal Skills Program (CASP) Qualitative Checklist, a quality appraisal of the selected articles was performed. By drawing upon institutional theory, data was extracted based on a pre-constructed matrix. The CERQual approach synthesized evidence and rank confidence level as low, moderate or high for 5 key findings. From 567 references identified, a total of 8 studies were included. Respondents were policymakers or implementers involved in integrated primary mental healthcare from the national, state, and district level. Overall, the main governance issues identified were a lack of leadership and mental health prioritization; inadequate financing and human resource capacity; and negative mental health perceptions/attitudes. The implication of the findings is that such issues must be addressed for long-term health system performance. This can also improve policymaking for better integration of primary mental health services into the health systems of countries in the Sub-Saharan and South Asia region.
Fulltext The Intra- and Extra-Telomeric Role of TRF2 in the DNA Damage Response

Imran SAM, Yazid MD, Cui W, Lokanathan Y

Int J Mol Sci, 2021 Sep 14;22(18).
PMID: 34576063 DOI: 10.3390/ijms22189900

Telomere repeat binding factor 2 (TRF2) has a well-known function at the telomeres, which acts to protect the telomere end from being recognized as a DNA break or from unwanted recombination. This protection mechanism prevents DNA instability from mutation and subsequent severe diseases caused by the changes in DNA, such as cancer. Since TRF2 actively inhibits the DNA damage response factors from recognizing the telomere end as a DNA break, many more studies have also shown its interactions outside of the telomeres. However, very little has been discovered on the mechanisms involved in these interactions. This review aims to discuss the known function of TRF2 and its interaction with the DNA damage response (DDR) factors at both telomeric and non-telomeric regions. In this review, we will summarize recent progress and findings on the interactions between TRF2 and DDR factors at telomeres and outside of telomeres.
Fulltext Aberrant Methylation of Tumour Suppressor Gene ADAM12 in Chronic Lympocytic Leukemia Patients: Application of Methylation Specific-PCR Technique

Mohamad A, Hassan R, Husin A, Johan MF, Sulong S

Asian Pac J Cancer Prev, 2021 Jan 01;22(1):85-91.
PMID: 33507683 DOI: 10.31557/APJCP.2021.22.1.85

OBJECTIVE: Chronic Lymphocytic Leukemia (CLL) is a common leukemia among Caucasians but rare in Asians population. We postulated that aberrant methylation either hypermethylation or partial methylation might be one of the silencing mechanisms that inactivates the tumour suppressor genes in CLL. This study aimed to compare the methylation status of tumour suppressor gene, ADAM12, among CLL patients and normal individuals. We also evaluated the association between methylation of ADAM12 and clinical and demographic characteristics of the participants.
METHODS: A total of 25 CLL patients and 25 normal individuals were recruited in this study. The methylation status of ADAM12 was determined using Methylation-Specific PCR (MSP); whereas, DNA sequencing method was applied for validation of the MSP results.
RESULTS: Among CLL patients, 12 (48%) were partially methylated and 13 (52%) were unmethylated. Meanwhile, 5 (20%) and 20 (80.6%) of healthy individuals were partially methylated and unmethylated, respectively. There was a statistically significant association between the status of methylation at ADAM12 and the presence of CLL (p=0.037).
CONCLUSION: The aberrant methylation of ADAM12 found in this study using MSP assay may provide new exposure to CLL that may improve the gaps involved in genetic epigenetic study in CLL.
Fulltext Heat transfer flow of Maxwell hybrid nanofluids due to pressure gradient into rectangular region

Chu YM, Ali R, Asjad MI, Ahmadian A, Senu N

Sci Rep, 2020 Oct 06;10(1):16643.
PMID: 33024149 DOI: 10.1038/s41598-020-73174-1

In this work, influence of hybrid nanofluids (Cu and [Formula: see text]) on MHD Maxwell fluid due to pressure gradient are discussed. By introducing dimensionless variables the governing equations with all levied initial and boundary conditions are converted into dimensionless form. Fractional model for Maxwell fluid is established by Caputo time fractional differential operator. The dimensionless expression for concentration, temperature and velocity are found using Laplace transform. As a result, it is found that fluid properties show dual behavior for small and large time and by increasing volumetric fraction temperature increases and velocity decreases respectively. Further, we compared the Maxwell, Casson and Newtonian fluids and found that Newtonian fluid has greater velocity due to less viscosity. Draw the graphs of temperature and velocity by Mathcad software and discuss the behavior of flow parameters and the effect of fractional parameters.
Important skills for biomedical services: The perspectives of Malaysian employers and employees

Buntat Y, Saud MS, Mokhtar M, Kamin Y, Feh LS

Work, 2016 Oct 17;55(2):481-487.
PMID: 27689600

Increase in the occurrence of existing diseases, continual emergence of new or exotic diseases and re-emergence of old diseases have placed increasing demands on biomedical services in Malaysia. Biomedical technicians play an important role in operating biomedical instruments. However, there are no clear specifications about characteristics and traits for these semi-professional employees. Employers in a few studies claimed that biomedical graduates are not ready to enter and face challenges in the job market.
New magnetic graphene-based inorganic-organic sol-gel hybrid nanocomposite for simultaneous analysis of polar and non-polar organophosphorus pesticides from water samples using solid-phase extraction

Rashidi Nodeh H, Wan Ibrahim WA, Kamboh MA, Sanagi MM

Chemosphere, 2017 Jan;166:21-30.
PMID: 27681257 DOI: 10.1016/j.chemosphere.2016.09.054

A new graphene-based tetraethoxysilane-methyltrimethoxysilane sol-gel hybrid magnetic nanocomposite (Fe3O4@G-TEOS-MTMOS) was synthesised, characterized and successfully applied in magnetic solid-phase extraction (MSPE) for simultaneous analysis of polar and non-polar organophosphorus pesticides from several water samples. The Fe3O4@G-TEOS-MTMOS nanocomposite was characterized using Fourier transform-infrared spectroscopy, energy-dispersive X-ray spectroscopy, field emission scanning electron microscopy and X-ray diffraction. Separation, determination and quantification were achieved using gas chromatography coupled with micro electron capture detector. Adsorption capacity of the sorbent was calculated using Langmuir equation. MSPE was linear in the range 100-1000 pg mL(-1) for phosphamidon and dimethoate, and 10-100 pg mL(-1) for chlorpyrifos and diazinon, with limit of detection (S/N = 3) of 19.8, 23.7, 1.4 and 2.9 pg mL(-1) for phosphamidon, dimethoate, diazinon and chlorpyrifos, respectively. The LODs obtained is well below the maximum residual level (100 pg mL(-1)) as set by European Union for pesticides in drinking water. Acceptable precision (%RSD) was achieved for intra-day (1.3-8.7%, n = 3) and inter-day (7.6-17.8%, n = 15) analyses. Fe3O4@G-TEOS-MTMOS showed high adsorption capacity (54.4-76.3 mg g(-1)) for the selected OPPs. No pesticide residues were detected in the water samples analysed. Excellent extraction recoveries (83-105%) were obtained for the spiked OPPs from tap, river, lake and sea water samples. The newly synthesised Fe3O4@G-TEOS-MTMOS showed high potential as adsorbent for OPPs analysis.
Fulltext A Robust Speaker Identification System Using the Responses from a Model of the Auditory Periphery

Islam MA, Jassim WA, Cheok NS, Zilany MS

PLoS One, 2016;11(7):e0158520.
PMID: 27392046 DOI: 10.1371/journal.pone.0158520

Speaker identification under noisy conditions is one of the challenging topics in the field of speech processing applications. Motivated by the fact that the neural responses are robust against noise, this paper proposes a new speaker identification system using 2-D neurograms constructed from the responses of a physiologically-based computational model of the auditory periphery. The responses of auditory-nerve fibers for a wide range of characteristic frequency were simulated to speech signals to construct neurograms. The neurogram coefficients were trained using the well-known Gaussian mixture model-universal background model classification technique to generate an identity model for each speaker. In this study, three text-independent and one text-dependent speaker databases were employed to test the identification performance of the proposed method. Also, the robustness of the proposed method was investigated using speech signals distorted by three types of noise such as the white Gaussian, pink, and street noises with different signal-to-noise ratios. The identification results of the proposed neural-response-based method were compared to the performances of the traditional speaker identification methods using features such as the Mel-frequency cepstral coefficients, Gamma-tone frequency cepstral coefficients and frequency domain linear prediction. Although the classification accuracy achieved by the proposed method was comparable to the performance of those traditional techniques in quiet, the new feature was found to provide lower error rates of classification under noisy environments.
Fulltext Technique for Early Reliability Prediction of Software Components Using Behaviour Models

Ali A, N A Jawawi D, Adham Isa M, Imran Babar M

PLoS One, 2016 Sep 26;11(9):e0163346.
PMID: 27668748 DOI: 10.1371/journal.pone.0163346

Behaviour models are the most commonly used input for predicting the reliability of a software system at the early design stage. A component behaviour model reveals the structure and behaviour of the component during the execution of system-level functionalities. There are various challenges related to component reliability prediction at the early design stage based on behaviour models. For example, most of the current reliability techniques do not provide fine-grained sequential behaviour models of individual components and fail to consider the loop entry and exit points in the reliability computation. Moreover, some of the current techniques do not tackle the problem of operational data unavailability and the lack of analysis results that can be valuable for software architects at the early design stage. This paper proposes a reliability prediction technique that, pragmatically, synthesizes system behaviour in the form of a state machine, given a set of scenarios and corresponding constraints as input. The state machine is utilized as a base for generating the component-relevant operational data. The state machine is also used as a source for identifying the nodes and edges of a component probabilistic dependency graph (CPDG). Based on the CPDG, a stack-based algorithm is used to compute the reliability. The proposed technique is evaluated by a comparison with existing techniques and the application of sensitivity analysis to a robotic wheelchair system as a case study. The results indicate that the proposed technique is more relevant at the early design stage compared to existing works, and can provide a more realistic and meaningful prediction.
Fulltext On Topological Indices of Certain Families of Nanostar Dendrimers

Husin MN, Hasni R, Arif NE, Imran M

Molecules, 2016 Jun 24;21(7).
PMID: 27347913 DOI: 10.3390/molecules21070821

A topological index of graph G is a numerical parameter related to G which characterizes its molecular topology and is usually graph invariant. In the field of quantitative structure-activity (QSAR)/quantitative structure-activity structure-property (QSPR) research, theoretical properties of the chemical compounds and their molecular topological indices such as the Randić connectivity index, atom-bond connectivity (ABC) index and geometric-arithmetic (GA) index are used to predict the bioactivity of different chemical compounds. A dendrimer is an artificially manufactured or synthesized molecule built up from the branched units called monomers. In this paper, the fourth version of ABC index and the fifth version of GA index of certain families of nanostar dendrimers are investigated. We derive the analytical closed formulas for these families of nanostar dendrimers. The obtained results can be of use in molecular data mining, particularly in researching the uniqueness of tested (hyper-branched) molecular graphs.

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