Evaluation of machine learning models for predicting TiO2 photocatalytic degradation of air contaminants.

The escalation of global urbanization and industrial expansion has resulted in an increase in the emission of harmful substances into the atmosphere. Evaluating the effectiveness of titanium dioxide (TiO2) in photocatalytic degradation through traditional methods is resource-intensive and complex due to the detailed photocatalyst structures and the wide range of contaminants. Therefore in this study, recent advancements in machine learning (ML) are used to offer data-driven approach using thirteen machine learning techniques namely XG Boost (XGB), decision tree (DT), lasso Regression (LR2), support vector regression (SVR), adaBoost (AB), voting Regressor (VR), CatBoost (CB), K-Nearest Neighbors (KNN), gradient boost (GB), random Forest (RF), artificial neural network (ANN), ridge regression (RR), linear regression (LR1) to address the problem of estimation of TiO2 photocatalytic degradation rate of air contaminants. The models are developed using literature data and different methodical tools are used to evaluate the developed ML models. XGB, DT and LR2 models have high R2 values of 0.93, 0.926 and 0.926 in training and 0.936, 0.924 and 0.924 in test phase. While ANN, RR and LR models have lowest R2 values of 0.70, 0.56 and 0.40 in training and 0.62, 0.63 and 0.31 in test phase respectively. XGB, DT and LR2 have low MAE and RMSE values of 0.450 min-1/cm2, 0.494 min-1/cm2 and 0.49 min-1/cm2 for RMSE and 0.263 min-1/cm2, 0.285 min-1/cm2 and 0.29 min-1/cm2 for MAE in test stage. XGB, DT, and LR2 have 93% percent errors within 20% error range in training phase. XGB has 92% and DT, and LR2 have 94% errors with 20% range in test phase. XGB, DT, LR2 models remained the highest performing models and XGB is the most robust and effective in predictions. Feature importances reveal the role of input parameters in prediction made by developed ML models. Dosage, humidity, UV light intensity remain important experimental factors. This study will impact positively in providing efficient models to estimate photocatalytic degradation rate of air contaminants using TiO2.

Experimental study on the eco-friendly plastic-sand paver blocks by utilising plastic waste and basalt fibers.

Plastic waste poses a significant hazard to the environment as a result of its high production rates, which endanger both the environment and its inhabitants. Similarly, another concern is the production of cement, which accounts for roughly 8% of global CO2 emissions. Thus, recycling plastic waste as a replacement for cementitious materials may be a more effective strategy for waste minimisation and cement elimination. Therefore, in this study, plastic waste (low-density polyethylene) is utilised in the production of plastic sand paver blocks without the use of cement. In addition to this, basalt fibers which is a green industrial material is also added in the production of eco-friendly plastic sand paver blocks to satisfy the standard of ASTM C902-15 of 20 N/mm2 for the light traffic. In order to make the paver blocks, the LDPE waste plastic was melted outside in the open air and then combined with sand. Variations were made to the ratio of LDPE to sand, the proportion of basalt fibers, and sand particle size. Paver blocks were evaluated for their compressive strength, water absorption, and at different temperatures. Including 0.5% percent basalt fiber of length 4 mm gives us the best result by enhancing compressive strength by 20.5% and decreasing water absorption by 50.5%. The best results were obtained with a ratio of 30:70 LDPE to sand, while the finest sand provides the greatest compressive strength. Moreover, the temperature effect was also studied from 0 to 60 °C, and the basalt fibers incorporated in plastic paver blocks showed only a 20% decrease in compressive strength at 60 °C. This research has produced eco-friendly paver blocks by removing cement and replacing it with plastic waste, which will benefit the environment, save money, reduce carbon dioxide emissions, and be suitable for low-traffic areas, all of which contribute to sustainable development.

High-sensitivity cardiac troponin I: is ethnicity relevant?

AIMS: To evaluate 99th percentile upper reference limits (URLs) and investigate ethnic differences for the Abbott Architect high-sensitivity cardiac troponin I (hs-cTnI) in a middle-aged to elderly cosmopolitan population. METHODS: In subjects without cardiovascular disease and after outlier exclusion, data on hs-cTnI from 149 white men, 150 white women, 150 South Asian (SA) men and 150 SA women in their sixth, seventh and eight decades were analysed. Each ethnicity-gender-decade subgroup consisted of 50 patients except white men in their sixth decade (n=49). RESULTS: The overall, women and men hs-cTnI 99th percentile URLs were 22.1, 17.9 and 24.8 ng/L, respectively. Median (IQR) hs-cTnI was higher in men (2.7 (1.8-4.1) ng/L) than in women (1.9 (1.1-3.2) ng/L; p<0.001). White men (3.2 (2.2-4.4) ng/L) had higher hs-cTnI than SA men (2.5 (1.6-3.6) ng/L; p<0.001), white women (2.1 (1.3-3.3) ng/L; p<0.001) and SA women (1.6 (1.0-3.0) ng/L; p<0.001). Hs-cTnI in white women was similar to SA women (p=0.07) and SA men (p=0.07). Patients in the eighth decade had higher hs-cTnI (p<0.05) than those in sixth decade within each ethnicity-gender subgroup. Of significant associations, age had the greatest impact on hs-cTnI followed by gender and then ethnicity. CONCLUSION: We report white-SA differences in hs-cTnI in men and a similar trend in women. We confirm age and gender differences in hs-cTnI, irrespective of ethnicity. Further studies are required to determine whether ethnicity-specific age and gender 99th percentile URLs improve detection or exclusion of myocardial injury.

Pattern of inappropriate antibiotic use among hospitalized patients in Pakistan: a longitudinal surveillance and implications.

Background: The inappropriate use of antibiotics in hospitals increases resistance, morbidity, and mortality. Little is currently known about appropriate antibiotic use among hospitals in Lahore, the capital city of Pakistan. Methods: Longitudinal surveillance was conducted over a period of 2 months among hospitals in Lahore, Pakistan. Antibiotic treatment was considered inappropriate on the basis of a wrong dosage regimen, wrong indication, or both based on the British National Formulary. Results: A total of 2022 antibiotics were given to 1185 patients. Out of the total prescribed, approximately two-thirds of the study population (70.3%) had at least one inappropriate antimicrobial. Overall, 27.2% of patients had respiratory tract infections, and out of these, 62.8% were considered as having inappropriate therapy. Cephalosporins were extensively prescribed among patients, and in many cases, this was inappropriate (67.2%). Penicillins were given to 283 patients, out of which 201 (71.0%) were prescribed for either the wrong indication or dosage or both. Significant variations were also observed regarding inappropriate prescribing for several antimicrobials including the carbapenems (70.9%), aminoglycosides (35.8%), fluoroquinolones (64.2%), macrolides (74.6%) and other antibacterials (73.1%). Conclusion: Educational interventions, institutional guidelines, and antimicrobial stewardship programs need to be developed to enhance future appropriate antimicrobial use in hospitals in Pakistan. Policies by healthcare and Government officials are also needed to minimize inappropriate antibiotic use.

Consumers' expectations and experiences with chain community pharmacies in Lahore, Pakistan: a qualitative exploratory study.

Background The model of community pharmacy practice is changing remarkably not only in the West but also in developing countries, which has led retail pharmacies to transform into chain community pharmacies. However, very little is known about consumers' expectations and experiences with chain community pharmacies in developing countries. Objective This study aims to assess the expectations and experiences of consumers with services provided by chain community pharmacies in Lahore, Pakistan. Setting Four random chain community pharmacies. Methods A qualitative study design was employed and face-to-face, audio-recorded, interviews were conducted with 12 consumers attending 4 randomly selected chain community pharmacies. All interviews were transcribed verbatim and the interview data were analysed thematically using NVivo® software. Main outcome measure Consumers' expectations and experiences with chain community pharmacies. Results The results contributed to a deeper understanding of the consumers' expectations and experiences with the services provided by chain community pharmacies. Six themes emerged from interview data including; access to pharmacists, quality use of medicines, range of distinct services, staff's behaviour, inventory management, and scope of services. The consumers reported that pharmacists working in chain community pharmacies were building trusting relationships and encouraging them to take an active role in healthcare. Pharmacists working there were providing them medication information and counselling services, which they normally do not expect from traditional pharmacies. Consumers mentioned that they had access to pharmacists and quality services, but the inventory of pharmacies was limited. Conclusions This exploratory study provides preliminary evidence that some of the consumers' expectations and experiences were aligned. However, some deficiencies were highlighted by the consumers that need to be addressed by relevant stakeholders. Further research is needed to assess the expectations and experiences of pharmacists working in the chain community pharmacy sector.

Genderwise clinical response of antipsychotics among schizophrenic patients: a prospective observational study from Lahore, Pakistan.

OBJECTIVE: The study was aimed to evaluate the gender specific response to adherence and occurrence of side effects among schizophrenic patients in Lahore, Pakistan. METHODS: A prospective study was performed for a period of 1 year among 180 newly diagnosed schizophrenics, aged 20-60 years to observe the symptoms, medication adherence and side effects. Morisky-Green-Levine Scale was used to evaluate medication adherence, LUNSER for side effects and PANSS to measure positive and negative symptoms. Data were analyzed using SPSS. RESULTS: Positive symptoms (Male: Baseline 36.14 vs. endpoint 23.58, Female: 35.29 vs. 23.74) and negative symptoms (Males 27.9 vs. 20.05, Females 28.41 vs. 20.2) of schizophrenia were equally reduced after a follow up of 1 year in both the genders. Male population suffered more accumulative side effects (11.4 in males vs. 6.40 in females), extrapyramidal symptoms such as tardive dyskinesia and tremors (1.21 in males vs. 0.57 in females) and other side effects as compared to women (p ≤ .005). Males were found poorly adherent to antipsychotic treatment than females (93.3% in males vs. 6.7% in females (p ≤ .005). CONCLUSIONS: Prescribing practices should not overlook sex specific factors like hormonal changes, altered brain morphology and socioeconomic factors that may be responsible for the difference in the response to the course of schizophrenia.