Potential Variables Research Articles

Systematic extreme correlation of Chinese stock market

ABSTRACT This article investigates the impact of systematic extreme correlations on the cross-section returns in the Chinese stock market. First, it extends the proposed extreme downside correlation (EDC) to the extreme upside correlation (EUC), and employs them to measure systematic tail risk. We find the asymmetry of systematic extreme correlations that EDC is always greater than EUC in the Chinese stock market. Then, we calculate the average returns of portfolios sorted by extreme measures and find that systematic extreme measures have a negative relationship with the Chinese stock returns. After controlling other potential variables such as size, lagged return, higher moments and higher co-moments, these two extreme correlation measures still have significantly negative relationship with stock returns. The results suggest that EDC and EUC help explain the cross-section returns of the Chinese stocks and manage tail risk for investors.

Impacts of COVID-19 on alcohol use among help-seeking adults.

The coronavirus (COVID-19) pandemic has been associated with both increased and decreased alcohol use. Authors explored reasons for increased and decreased alcohol use since the COVID-19 lockdown (March 2020) in a sample of help-seeking adults (HSA) participating in a remote-based alcohol reduction text-messaging intervention in the USA. At the time of recruitment, the HSA in this study were interested in reducing rather than stopping their alcohol consumption. An optional self-report questionnaire was completed by 324 participants (mean age 41.6 ± 10.2years; 71.5% female; 83.9% White) in February 2021. Survey questions assessed sociodemographic factors, social stressors (quarantine conditions, employment status, changes to daily routine), and drinking patterns. Authors fit two ordinal logistic regression models: one for increased drinking and one for decreased drinking, as functions of the potential predictors and control variables. Most participants (n = 281; 87.0%) reported drinking more than usual since COVID-19 lockdown began. The most common self-reported reasons for drinking more were increased stress/anxiety (74.7%), boredom (69.4%), and spending more time at home (65.5%) whereas reasons for drinking less were less socializing (33.7%) and worrying about how alcohol would impact the immune system (31.5%). Identifying as female, severity of changes to daily routine, and increased access to alcohol were significantly associated with drinking more than usual. These data suggest that the general consequences of the pandemic in the general population (e.g., boredom) led to greater alcohol use among help-seeking adults attempting to reduce their drinking. Identifying these factors may help create more targeted interventions during public health crises.

N°118 – The surface motor unit potential amplitude variability is increased in Chronic Inflammatory Demyelinating Polyneuropathy

N°118 – The surface motor unit potential amplitude variability is increased in Chronic Inflammatory Demyelinating Polyneuropathy

Vaccine Acceptance During a Novel Student-led Emergency Department COVID-19 Vaccination Program.

The coronavirus 2019 (COVID-19) pandemic not only exacerbated barriers to healthcare but has also highlighted the trend toward increased vaccine hesitancy. Our goal was to improve COVID-19 vaccine uptake through a student-led, emergency department-based (ED) vaccination program. This prospective, quality-improvement pilot program used medical and pharmacy student volunteers as COVID-19 vaccine screeners in a southern, urban, academic ED. Patients eligible for vaccination were offered either the Janssen-Johnson & Johnson or the Pfizer-BioNTech COVID-19 vaccine and were educated about vaccine concerns. Vaccine acceptance rates were recorded, as well as reasons for vaccine hesitancy, vaccine brand preferences, and demographics. The primary and secondary quantitative outcomes were overall vaccine acceptance and change in vaccine acceptance after student-provided education, respectively. We performed logistic regression to identify potential variables that correlated with vaccine acceptance. Guided by the Consolidated Framework for Implementation Research, focus group interviews with four key stakeholder groups explored implementation facilitators and barriers. We screened 406 patients for COVID-19 vaccination eligibility and current vaccine status, the majority of whom were unvaccinated. Of unvaccinated or partially vaccinated patients, vaccine acceptance before education was 28.3% (81/286), and vaccine acceptance after education was 31.5% (90/286) (% difference, 3.1% [95% CI 0.3%-5.9%], P=0.03). The most common hesitancy factors cited were concerns about side effects and safety. Results from the regression analysis indicated that increasing age and Black race were associated with an increased odds of vaccine acceptance. Focus groups revealed implementation barriers, including patient resistance and workflow issues, and facilitators, including student involvement and public health promotion. Using medical and pharmacy student volunteers as COVID-19 vaccine screeners was successful, and brief education provided by the students led to a modest increase in vaccine acceptance, with overall acceptance of 31.5%. Numerous educational benefits are described.

Predicting Bitcoin Prices Using Machine Learning.

In this paper we predict Bitcoin movements by utilizing a machine-learning framework. We compile a dataset of 24 potential explanatory variables that are often employed in the finance literature. Using daily data from 2nd of December 2014 to July 8th 2019, we build forecasting models that utilize past Bitcoin values, other cryptocurrencies, exchange rates and other macroeconomic variables. Our empirical results suggest that the traditional logistic regression model outperforms the linear support vector machine and the random forest algorithm, reaching an accuracy of 66%. Moreover, based on the results, we provide evidence that points to the rejection of weak form efficiency in the Bitcoin market.

Analysis of The Factors That Influence The Perceptions of Culinary Business Owners Regarding Intention to Register For Halal Certificates

Indonesia Law No. 33 of 2014 concerning Halal Assurance requires that by 2019 halal certification should be effectively implemented for food and beverage products, as well as service products related to both. Out of the 1.6 million micro, small, and medium enterprises (MSMEs), only 10 percent have been halal certified. This study aims to analyze the factors that influence the perceptions of culinary business owners regarding intention to register for halal certificates. Theory of Planned Behavior will be modified and implemented in preparing the frameworks of the dependent-independent variables. Using partial least square method, 200 sample of culinary producers -owners and managers- in Bogor were studied. Intention of producers is found to be significantly influenced by trust. Trust is also found to be sensitive to functional factor and subjective norm. Trust is also found to be determining attitude, together with functional factor and perceived behavioral norms. Trust is also significant in mediating the effect of perceived behavioral norms to intention, and also in mediating the effect of subjective norm to intention.The population of this study is the MSMEs culinary producers in Great Bogor Area, West Java, Indonesia. Only the respective owners and managers of the responding businesses were the main respondent. Similar research should be done for other types of halal product in order to generalize the results.This research modify TPB in setting the framework of determinants for halal certification intention. Variables added to the original TPB framework are trust and functional factor.This result concludes that trust is crucial in the effort to increase the number of halal certified products in Bogor. The halal certification authorities would have basis to review their policies, procedures, and technical guidelines for halal certification process. This study could be extended in terms of object and other potential determinant variables. Literatures related to halal certification has limited exposure to producers’ motivation for halal certification

Age-related changes in sensory and motor components of the Hoffmann-reflex pathway of the flexor carpi radialis.

Ageing is accompanied by numerous changes within the sensory and motor components of the muscle spindle pathway. To further document these age-related changes, this study compared the characteristics of the Hoffmann (H) reflex and M wave, evoked with several pulse durations, between young and old adults. The H-reflex and M-wave recruitment curves were recorded at rest in the flexor carpi radialis of 12 young (21-36 years) and 12 older adults (62-80 years). For each pulse duration (0.05, 0.2 and 1ms), the maximal M-wave (MMAX ) and H-reflex (HMAX ) amplitude, the M-wave amplitude associated with HMAX (MHmax ) and the H-reflex amplitude for a stimulus intensity evoking an M-wave of 5% MMAX (HM5% ) were measured. The strength-duration time constant and response threshold were estimated from the charge/stimulus-duration relation for the H reflex and M wave. Results indicate that varying pulse duration mainly induces a similar effect on H-reflex and M-wave recruitment curves between young and older adults. Regardless of pulse duration, old adults had lesser HMAX (p = 0.029) and HM5% (p < 0.001) but greater MHmax (p < 0.001). The H-reflex and M-wave response thresholds were greater in old than young adults (p = 0.003), but the strength-duration time constant was lesser in old than young adults for the H reflex (p = 0.048) but not the M wave (p = 0.21). These results suggest greater age-related changes in the sensory than the motor component of the H-reflex pathway, which may be indicative of a greater loss of sensory than motor axons or alterations of synapses between Ia afferents and motor neurones.

A randomized controlled trial of mindfulness-based cognitive therapy for body dysmorphic disorder: Impact on core symptoms, emotion dysregulation, and executive functioning

Background and objectivesMindfulness-based cognitive therapy (MBCT) is garnering increasing empirical interest as an intervention for Body Dysmorphic Disorder (BDD), although no studies of mindfulness as a standalone treatment have included a sample composed entirely of patients with BDD or a comparison group. The aim of this study was to investigate the improvement of MBCT intervention on the core symptoms, emotional dysfunction, and executive function of BDD patients, as well as the feasibility and acceptability of MBCT training. MethodPatients with BDD were randomized into an 8-week MBCT group (n = 58) or treatment-as-usual (TAU) control group (n = 58) and were assessed at pre-treatment, post-treatment, and 3-month follow-up. ResultsParticipants who received MBCT showed greater improvement on self-reported and clinician ratings of BDD symptoms, self-reported emotion dysregulation symptoms and executive function compared with TAU participants. Improvement for executive function tasks was partially supported. In addition, feasibility and acceptability of MBCT training were positive. LimitationsThere is no systematic assessment of the severity of key potential outcome variables associated with BDD. ConclusionMBCT may be a useful intervention for patients with BDD, improving patients’ BDD symptoms, emotion dysregulation, and executive functioning.

MEIOFAUNA IN TROPICAL MONTANE STREAMS: BIOTIC AND ABIOTIC FACTORS REGULATING COMMUNITIES

Meiofauna is a group of heterotrophic organisms smaller than macroinvertebrates but larger than microfauna and characterized by groups such as testate amoebae, ciliates, and nematodes. They are a link between bacteria and resources and macroinvertebrates. However, tropical meiofauna is poorly studied; thus, our goal was to characterize meiofaunal community composition and abundance and assess potential environmental variables controlling these community dynamics. Monthly samplings of meiofauna were conducted for eight months in Quebrada Prieta, El Yunque National Forest, Puerto Rico. Sampling was made in 12 pools, and data on discharge, sediment characteristics, and biotic variables were also collected. A total of 62 meiofaunal morphospecies were identified, with nematodes dominating the community, followed by testate amoebae. Bacterivores and detritivores taxa dominated the community. Meiofaunal abundance was negatively related to discharge and positively to the percentage of coarse sand, nitrate, and macroinvertebrate abundance. The composition of meiofauna in Quebrada Prieta is like the composition reported for temperate streams, at least in major meiofaunal groups present. However, the community in Quebrada Prieta was dominated by testate amoebae. In contrast, temperate streams are often dominated by rotifers and nematodes. Both abiotic and biotic variables are important for meiofaunal communities in the headwater streams in Puerto Rico.

Characterization of PbWO4 thin films formed by the pulsed laser welding technique

Herein thin films of PbWO4 were formed from bilayers of Pb/WO3 by the pulse laser welding technique (PLW) within couple of seconds in an argon atmosphere. Thin films of Pb (100 nm)/WO3 (500 nm) were deposited by the thermal evaporation technique under a vacuum pressure of 10−5 mbar. The films were then exposed to a pulse laser beam of fixed amplitude and variable pulse width (0.1–10 ms). The produced films were characterized by means of X-ray diffraction, scanning electron microscopy, energy dispersive X-ray spectroscopy and optical spectrophotometry techniques. An almost pure phase (∼90%) of tetragonal PbWO4 was achieved after the pulse width exceeds 5.0 ms. PbWO4 thin films produced by the PLW technique exhibited a direct and indirect energy band gaps of 2.27 eV and 3.52 eV, respectively. Energy band tails of widths of 1.35 eV were found dominant in these films. In addition fitting of the dielectric resonance spectra for Pb/WO3 and PbWO4 thin films indicated that the formation of PbWO4 was accompanied with a decrease in the high frequency dielectric constant, a decrease in the free hole concentration and an increase in the electronic friction in the films. The fast method of obtaining PbWO4 thin films and the formation of the direct band gap being 2.27 eV together with the nonlinear dielectric and optical properties make the PbWO4 films obtained by the PLW technique suitable for optoelectronic technology.

Clinical Analysis of Repeat Penetrating Keratoplasty in Children.

(1) Background: To analyze the indications, graft survival, and graft failure-related risk factors of repeat penetrating keratoplasty (RPK) in children. (2) Methods: In this case series, children younger than 12 years who received RPK at Beijing Tongren Hospital were reviewed. The indications for RPK, postoperative complications, and graft survival were analyzed. The analysis of the potential variables associated with graft survival was performed using Cox proportional hazards regression. (3) Results: A total of 30 RPK eyes of 29 children were included in this study. The mean follow-up time was 26.98 ± 18.75 months. The most common indication for RPK was a vascularized corneal scar (86.67%). Postoperative complications occurred in 27 eyes (90%), including immune rejection (46.67%), epithelial defects (36.67%), and glaucoma (26.67%). About 60% of the regrafts remained clear one year after RPK, while the overall graft survival rate was 30% at the last visit. The most common cause of regraft failure was irreversible immune rejection (8/21). The significant risks of graft failure included an age of less than 60 months at surgery (p = 0.009), corneal vascularization (p = 0.018), and a postoperative epithelial defect (p = 0.037). (4) Conclusions: A vascularized corneal scar is the most common indication of RPK in children. Immune rejection is the most prevalent complication, and irreversible immune rejection always causes regraft failure.

Can crop modelling, proximal sensing and variable rate application techniques be integrated to support in-season nitrogen fertilizer decisions? An application in corn

Nitrogen (N) fertilization in corn is often based on uniform rates and yield goals without considering the spatial and temporal variability of yield potential. It is well documented how uniform N rates lead to low N use efficiencies and environmental issues, resulting in reduced profit for farmers. Several site-specific approaches have been proposed to capture the yield spatial variability and adjust N rates to the actual crop nutrient requirements. The current study presents two original, site-specific N fertilization approaches, where two approaches at integrating crop simulation models, seasonal forecast and proximal sensing were tested across two corn seasons (2019 and 2020) in a field with significant spatial variability. In the first approach, top dressing N prescription maps were determined using the DSSAT crop model run with historical weather data, while in the second one, the maps were determined coupling DSSAT with seasonal forecasts and proximal sensing. Compared to the uniform fertilization treatment, both model-based approaches led to higher yields, N efficiency and gross margin in 2019 but not in 2020. The 2020 season was characterized by several major rainfall events, which were not present in the historical or seasonal forecast datasets. This inconsistency led to a substantial underestimation of the N leaching events in both model-based methodologies and consequently to higher-than-needed N fertilizer recommendations. Future studies should therefore focus on identifying ways to provide accurate seasonal estimates of extreme weather events to enable crop models to provide better N recommendations. In addition, the integration of proximal and remote sensing data into the crop model should be tested later in the season when spatial variability in crop N status peaks.

Invasive alien plant control: The priority to save one of the most rapidly declining island-endemic plant species worldwide

Up to 6,800 plant species endemic to oceanic islands are highly threatened with extinction. Although habitat destruction and fragmentation have greatly contributed to this, it is generally recognised that invasive alien species currently pose the single most important threat to island plants. Most studies exploring the role of novel interspecific interactions in driving declines of island plants, focus on threats mediated by animals, be it direct (e.g. browsing, seed predation, mutualism disruption) or indirect (e.g. extinction of seed dispersal or pollination mutualists). Relatively few studies have investigated the specific role of plant-plant interactions, particularly in-situ. We studied a threatened island endemic plant in rapid decline to evaluate the short (1–2 years) and medium-term (about 1–2 decades) influence of invasive alien plants (IAPs) on individuals and a variety of proxies of plant fitness. We compared mortality of traceable individuals that were recorded 12–20 years previously between habitats that are invaded with IAPs and habitats where IAPs are absent, or have been removed decades ago. We also carried out an in-situ manipulative experiment using 14 randomly chosen plants from around which IAPs were removed, paired with controls, at two sites. Canopy cover change before and after IAPs’ removal was quantified along with above ground biomass of IAPs removed for use as potential explanatory variables of change in proxies of plant fitness. Ten branches were randomly selected per plant and branch dynamics, leaves’ sizes and reproductive structure production were monitored quarterly for two years. Over the medium term, plant mortality was recorded only in presence of IAPs (X2 = 4.80, df = 1, p < 0.05). Over the short term, at the plant level, IAPs’ removal triggered overall weak to moderate improvements in the number of surviving and new branches as well as change in number of branches at one of the sites. At the leaf and branch levels, we found weak evidence for positive effects of IAPs removal on surviving leaves, flower buds produced and difference in leaf surface area per branch in one site. We therefore provide some experimental evidence of negative effects of alien plants on overall fitness of the threatened species in-situ presumably through competitive interactions. We posit that these effects were found to be weak to moderate due to the short experimental period over which they could develop (1–2 years). Overall, IAPs stand out as the most severe threat from among all documented threats to the species, for being the only one capable of causing mortality of adult plants. Results hence highlight island plants’ vulnerability to IAPs, and how their timely control would improve the survival and fitness of threatened plants, even at the scale of single individuals. Such a strategy could be more often employed. Our study stresses on prioritising IAPs’ control for rescuing long-lived threatened plants that grow in habitats invaded by alien plants (itself a very common situation on oceanic islands) before addressing other subtler, slower-acting threats, like disrupted pollination or seed dispersal mutualisms, florivory or seed predation.

Interlaboratory comparisons of cyanotoxin analysis by ELISA and LC–MS/MS

AbstractTwo commonly used methods for cyanotoxin analysis are enzyme‐linked immunosorbent assay (ELISA) and liquid chromatography/tandem mass spectrometry (LC–MS/MS). Two rounds of interlaboratory comparisons of ELISA and LC–MS/MS analyses were conducted with 12 participating laboratories to evaluate method performances in various matrices, including cyanobacterial bloom and drinking water samples. Fifteen cyanotoxins, including 12 microcystin variants, nodularin, anatoxin‐a, and cylindrospermopsin were evaluated. The impact of sample matrices, preservatives, and quenching reagents was assessed, and no substantial effects were observed. Overall, comparable results were obtained among laboratories performing ELISA and LC–MS/MS analyses, respectively. ELISA results for fortified samples matched more closely with those from LC–MS/MS when microcystin cross‐reactivities were considered, providing data 26% closer to theoretical values on average. This study demonstrates that understanding the effect of cross‐reactivities when comparing ELISA and LC–MS/MS results and considering potential variabilities in commercial standards is important when interpreting data from these two methods.

MP-453089-1 DIGOXIN AND RISK OF VENTRICULAR TACHYARRHYTHMIA AND DEATH IN ICD RECIPIENTS

Digoxin continues to be used in patients with heart failure with reduced ejection fraction (HFrEF), especially among those with atrial fibrillation (AF) with difficult to control ventricular response. However, some studies have shown digoxin use to be associated with adverse outcomes including increased mortality. There are limited data on whether digoxin use is associated with increased risk of ventricular tachycardia/ventricular fibrillation (VT/VF) in implantable cardioverter defibrillator (ICD) recipients. We sought to assess whether digoxin use would be associated with increased risk of VT/VF in patients with HFrEF who were implanted with a primary prevention ICD in landmark clinical trials. Our study cohort consisted of patients with an ICD or cardiac resynchronization therapy-defibrillator (CRT-D) who were enrolled in the four landmark MADIT trials. Propensity score for digoxin at baseline was developed using a wide variety of baseline clinical measures with a logistic regression model stepwise variable selection approach. All potential variables which met a significance level <0.10 were included in the propensity score model. Additionally, a multivariate proportional hazards regression model was developed for the endpoint of VT/VF. This multivariate model was used along with propensity score quintile stratification for the endpoints of VT/VF, death and VT/VF/death. At baseline, 1155 of 4499 patients were on digoxin (26%). Propensity score variables are shown in Table 1. From statistical models using both multivariate adjustment and propensity score quintile stratification, patients prescribed digoxin exhibited a statistically significant 28% increased risk of VT/VF [HR 1.28 (1.10-1.50); p=0.002; Figure 1A], 38% increased risk of the composite of VT/VF or death [HR 1.38 (1.21-1.58); p<0.0001; Figure 1B]; and a 64% increased risk of death [HR 1.64; (1.32-2.04); p<0.0001]. Our findings suggest that digoxin use is associated with a significant increased risk of ventricular tachyarrhythmic events and death among ICD recipients. This adds to the growing evidence that digoxin use is associated with adverse outcomes in certain groups of patients and suggest a need for reconsideration on use of digoxin in HFrEF patients with an ICD.

Role and functions of micro and macro-minerals in swine nutrition: a short review.

Livestock production depends on the utilization of nutrients, and when this is accomplished, there is accelerated momentum toward growth with a low cost-to-feed ratio. Public concern over the consumption of pork with antibiotic residues in animals fed antibiotic growth promoters (AGP) has paved the way for using other natural additives to antibiotics, such as herbs and their products, probiotics, prebiotics, etc. Numerous feed additives are trending to achieve this goal, and a classic example is vitamins and minerals. Vitamins and minerals represent a relatively small percentage of the diet, but they are critical to animal health, well-being, and performance; both play a well-defined role in metabolism, and their requirements can vary depending on the physiological stage of the animals. At the same time, the absence of these vitamins and minerals in animal feed can impair the growth and development of muscles and bones. Most commercial feeds contain vitamins and trace minerals that meet nutrient requirements recommended by National Research Council and animal feeding standards. However, the potential variability and bioavailability of vitamins and trace elements in animal feeds remain controversial because daily feed intake varies, and vitamins are degraded by transportation, storage, and processing. Accordingly, the requirement for vitamins and minerals may need to be adjusted to reflect increased production levels, yet the information presented on this topic is still limited. Therefore, this review focuses on the role and function of different sources of minerals, the mode of action, the general need for micro and macro minerals in non-ruminant diets, and how they improve animal performance.

Combustion Surface Calculation Method of Solid Rocket Propellant Based on Parameterized Volume Boolean Operation

In order to solve the problem of long time consuming and low efficiency in solving the complex combustion surface of solid rocket propellant, a combustion surface calculation method based on parameterized volume Boolean operation was proposed. After the solid model of propellant was created by using 3D modeling software, the parameterized burning surface model was used to perform Boolean difference calculation between the obtained burning surface growth entity and the propellant entity. Through Sensitivity Analysis function, the variation range of parameterized value was set, so as to obtain the burning face value under different burning thickness. In this paper, star shaped charge column is selected to calculate the combustion surface, and the feasibility of the method is verified. This method provides a basis for subsequent combustion surface calculation.

Pulse length dependence of a reactive high power impulse magnetron (HiPIMS) discharge

The pulse length dependence of a reactive high power impulse magnetron sputtering (HiPIMS) discharge with a tungsten cathode in an argon+oxygen gas mixture gas was investigated. The HiPIMS discharge is operated with a variable pulse length of 20–500 µs. Discharge current measurements, optical emission spectroscopy of neutral Ar, O, and W lines, and energy-resolved ion mass spectrometry are employed. A pronounced dependence of the discharge current on pulse length is noted while the initial discharge voltage is maintained constant. Energy-resolved mass spectrometry shows that the oxygen-to-tungsten (O+/W+) and the tungsten oxide-to-tungsten (WO+/W+) ion ratio decreases with pulse length due to target cleaning. Simulation results employing the SDTrimSP program show the formation of a non-stoichiometric sub-surface compound layer of oxygen which depends on the impinging ion composition and thus on the pulse length.

Cluster analysis for the selection of potential discriminatory variables and the identification of subgroups in archaeometry

In this article, three variable selection methods based on Gaussian mixture models were compared to find a subset of variables that provided the “best” clustering. The use of an appropriate transformation for compositional data, whose geometric space is the Simplex, is emphasized. The comparison revealed the ability of the models to cluster data in multiple phases, showing to be more convenient to select the relevant variables than to perform an analysis based on 2D plots or by simultaneously including all the available variables in a multivariate analysis. Once the informative variables for the clustering were obtained, we used a method called Databionic Swarm (DBS). This method uses unsupervised machine learning, taking advantage of emergence and swarm intelligence applied to find natural chemical groups in the input data space. DBS can visualize high-dimensional distances in the projection through a 3D topographic map with hypsometric tints. The results were compared in terms of accuracy, both in the selection of the variables and in the classification, using a supervised accuracy index for clustering and two unsupervised indexes (the Heatmap and the Silhouette plot). The concepts and methods were illustrated by applying them to two published archaeological glass data sets. The first set consisted of 245 Romano-British glass vessels and the second set of 180 glass vessels from the 15th-17th century in Antwerp. In these applications, it was found that the methods for the selection of variables increased the accuracy of the classification compared to traditional methods.

Finite difference scheme of time-dependent MHD viscous fluid flow

In this paper, we investigate time-dependent viscous fluid flow along a stretching horizontal plate with a magnetic field, viscous dissipation and chemical reaction are taken into account. A system of partial differential equations (PDEs) governs the flow problem. Using dimensionless variables, system of governing PDEs is transformed to dimensionless form. Finite difference method is the numerical method adopted for solving the system of PDEs with initial and boundary conditions. The impact of potential variables is examined and displayed graphically. The results suggest that greater Hartmann number reduces velocity and temperature, whereas raising chemical reaction parameter decreases concentration profile. Moreover, skin friction increases with Hartmann number values and Nusselt number, showing increase for growing Eckert and Prandtl numbers.