CuO improved energy band of AgO/fibrous SiO2-ZrO2 for optimized simultaneous photocatalytic redox of chromium (VI) and p-cresol using response surface methodology.

Ternary CuO/AgO/FSZr photocatalysts were fabricated via the hydrothermal and electrochemical methods with three different CuO loading (1, 3 and 5 wt%), indicated as 1CuO/AgO/FSZr, 3CuO/AgO/FSZr and 5CuO/AgO/FSZr. The photocatalytic reaction was tested towards simultaneous chromium (VI) photoreduction and p-cresol photooxidation and the performance in order as follow: 3CuO/AgO/FSZr > 5CuO/AgO/FSZr > 1CuO/AgO/FSZr > AgO/FSZr > FSZr. CuO/AgO/FSZr photocatalysts showed an improvement in photocatalytic activity compared to AgO/FSZr and FSZr due to the reduction potential of chromium (VI) aligned closer to the conduction band of CuO and provided abundant free active electrons (e-) and holes (h+) with efficient transportation and migration. Interestingly, the 3CuO/AgO/FSZr was established as the best photocatalyst with 98% reduction of chromium (VI) and 83% oxidation of p-cresol simultaneously, owing to its strong corporation between the metal oxides and support and higher total pore volume. The Langmuir-Hinshelwood model were employed for kinetics which followed the pseudo-first-order kinetics model well. Based on the simultaneous photocatalytic mechanism, chromium (VI) and p-cresol were directly reduced and oxidized by e- and h+, respectively. The response surface methodology (RSM) discovered that the quadratic term initial concentration of chromium (VI) is the main significant factor in photocatalytic performance. The optimum parameters for simultaneous photoredox of chromium (VI) and p-cresol predicted from RSM are 9.6 mg L-1 of chromium (VI) concentration, 9.8 mg L-1 of p-cresol concentration and 0.32 g L-1 of catalyst dosage. Under these conditions the error between the predicted and experimental values is only 3.7%. The 3CuO/AgO/FSZr sustained the photocatalytic performance after reused for five cycles and could oxidized various organic pollutants as well as reduced chromium (VI) simultaneously.

OCCUPATIONAL HEALTH AND SAFETY PRACTICES AMONG WORKERS IN BLOCK/CONCRETE CONSTRUCTION INDUSTRIES IN GOMBE METROPOLIS, GOMBE STATE, NORTHEAST, NIGERIA.

Introduction: The block/concrete industry is often seen as a driver of economic growth in developing countries. A wide range of people mainly unskilled form the bulk of workers in these industries. According to the International Labor Organization, about 60,000 fatal accidents occur annually on these construction sites. This study aimed to determine the knowledge of hazards and practices of occupational safety measures among the workers in these industries. Methodology: A descriptive cross-sectional study was done among 295 respondents selected using a multi-stage sampling technique. A structured, interviewer-administered-electronic questionnaire was used to obtain information from the respondents. Data were analyzed using SPSS version 23. Quantitative variables were summarized using tables and charts. The chi-square test was used to examine the relationship between socio-demographic characteristics and knowledge and practice. Statistical significance was determined at a p-value of ≤0.05. Results: All the respondents were males, with a mean age of 28.9 ± 6.9 years. Most (70%) of the respondents have good knowledge while 49% have good practices in occupational safety. The age, level of education, and status of the worker were associated with knowledge of occupational hazards and practices. There was a statistically significant relationship between the knowledge of hazards and the practice of occupational safety (p = 0.000). Conclusion: The knowledge of occupational hazards among the study participants was high while safety practices were not adequate. Therefore, the health authorities should educate workers on safety practices and encourage the management of the factories to provide safety measures to protect the workers.

RELATIONSHIP OF MEAN PLATELET VOLUME TO SEVERITY AND SHORT-TERM OUTCOME OF ACUTE ISCHEMIC STROKE.

Introduction: Despite the considerable number of clinical studies conducted, questions on the importance of the determinants of outcome after ischaemic stroke still exits. Methodology: Eighty consenting acute ischaemic stroke patients presenting to the emergency unit of Federal Teaching Hospital Gombe, along with 80 age and sex-matched controls were recruited. All the subjects were examined after relevant clinical history and stroke severity was determined using the NIHSS score. A brain imaging computed tomography or magnetic resonance imaging (CT/MRI) was performed for each patient and the stroke outcome of each patient was documented at the end of 30 days. MPV was assayed using the Sysmex KX-21N automated haematology analyser. Result: The mean age of patients 59.74±14.44 years was similar to the mean age of controls 59.80±14.08 years; P=0.947. The gender distribution between the two groups was also similar (p=0.436). Systemic hypertension was the most common modifiable risk factor for stroke accounting for 58.8%. The MPV of stroke patients 10.51 ± 0.88fl was significantly higher than that of controls 9.86±0.88fl p=0.0001 with a reference interval of 9.10-10.62fl using controls. Patients with MPV ≥10.62fl were categorized as high MPV range. The majority of patients in the high MPV category had significantly severe stroke with NIHSS score >16 p=0.001. No significant relationship was observed between the high MPV category and functional outcome based on mRS category p=0.101, The effect of MPV in the prediction of mortality remained significant (OR: 4.58, P= 0.012) in the multivariate regression model after controlling for other factors associated with mortality in acute ischemic stroke. A significant relationship was observed between MPV and infarct volume on the ROC curve and the area under the curve was 0.684 and an MPV value of 9.85fl was determined at 90% sensitivity and specificity of 50%. Conclusion: The study shows that MPV is associated with stroke severity and can be used as a marker to predict mortality in acute ischaemic stroke.

A state of the art review on electrochemical technique for the remediation of pharmaceuticals containing wastewater.

Pharmaceutical wastewater is a frequent kind of wastewater with high quantities of organic pollutants, although little research has been done in the area. Pharmaceutical wastewaters containing antibiotics and high salinity may impair traditional biological treatment, resulting in the propagation of antibiotic resistance genes. The potential for advanced oxidation processes (AOPs) to break down hazardous substances instead of present techniques that essentially transfer contaminants from wastewater to sludge, a membrane filter, or an adsorbent has attracted interest. Among a variety of AOPs, electrochemical systems are a feasible choice for treating pharmaceutical wastewater. Many electrochemical approaches exist now to remediate rivers polluted by refractory organic contaminants, like pharmaceutical micro-pollutants, which have become a severe environmental problem. The first part of this investigation provides the bibliometric analysis of the title search from 1970 to 2021 for keywords such as wastewater and electrochemical. We have provided information on relations between keywords, countries, and journals based on three fields plot, inter-country co-authorship network analysis, and co-occurrence network visualization. The second part introduces electrochemical water treatment approaches customized to these very distinct discarded flows, containing how processes, electrode materials, and operating conditions influence the results (with selective highlighting cathode reduction and anodic oxidation). This section looks at how electrochemistry may be utilized with typical treatment approaches to improve the integrated system's overall efficiency. We discuss how electrochemical cells might be beneficial and what compromises to consider when putting them into practice. We wrap up our analysis with a discussion of known technical obstacles and suggestions for further research.

Impact of the COVID-19 Pandemic on Elderly Medical Admissions and Outcomes in a Tertiary Hospital in Northeastern Nigeria: A Comparative Retrospective Study.

BACKGROUND: The coronavirus infectious disease 2019 (COVID-19) has been shown to be more lethal in the elderly (>65 years), especially those with co-morbidities. This study examined the impact of the pandemic lockdown period on trends in elderly medical admissions and deaths. METHODOLOGY: This is a retrospective study of elderly medical admissions and deaths in the medical wards of a Nigerian hospital. Data for the months of March, April, May, June, and July of 2020 was compared to the same months before (2019) and after (2021). Analysis was done using STATA version 15.0. RESULTS: During the study period, two hundred and seventy-six elderly patients were admitted, with a mean age (±SD) of 73.4 ± 7.4 years. The most common diagnoses at admission were chronic kidney disease (CKD) (26.85%, n=74) and hypertensive heart disease (HHD) (21.7%, n=60). The highest admission was in 2021, with a total of 99 (35.9%). Overall, 60 mortalities were recorded, with a proportional mortality rate of 21.7%, which was highest in 2020 (25.0%) and lowest in 2021 (17.1%). There was no difference between the mortality rates of 2019 versus 2020 (P=0.82) and 2020 versus 2021(P=0.18). Sepsis (35.0%) and CKD (25.0%) were the major contributors in 2019. CONCLUSION: CKD and HHD were the most common diagnoses at admission, whereas sepsis, CKD, and CVD were the commonest causes of death. The Covid-19 pandemic did not significantly alter the elderly admission pattern in our setting.

CONTEXTE: Il a été démontré que la maladie infectieuse à coronavirus 2019 (COVID-19) est plus mortelle chez les personnes âgées (>65 ans), en particulier celles qui présentent des comorbidités. Cette étude a examiné l'impact de la période de verrouillage pandémique sur les tendances des admissions médicales et des décès de personnes âgées. MÉTHODOLOGIE: Il s'agit d'une étude rétrospective des admissions et des décès de personnes âgées dans les services médicaux d'un hôpital nigérian. Les données relatives aux personnes âgées pour les mois de mars, avril, mai, juin et juillet 2020 ont été comparées aux mêmes mois avant (2019) et après (2021). L'analyse a été réalisée à l'aide de STATA version 15.0. RÉSULTATS: Au cours de la période, deux cent soixante-seize patients âgés ont été admis, avec un âge moyen et un écart-type (ET) de 73,4 7,4 ans. Les diagnostics les plus fréquents à l'admission étaient l'insuffisance rénale chronique (IRC) (26,85 %, n=74) et la cardiopathie hypertensive (HHD) (21,7 %, n=60). Le nombre d'admissions le plus élevé a été enregistré en 2021, avec un total de 99 (35,9 %). Au total, 60 décès ont été enregistrés, avec un taux de mortalité proportionnel de 21,7 %, qui était le plus élevé en 2020 (25,0 %) et le plus faible en 2021 (17,1 %). Les preuves étaient insuffisantes pour montrer une différence entre les taux de mortalité de 2019 par rapport à 2020 (P=0,82) et de 2020 par rapport à 2021 (P=0,18). Le sepsis (35,0 %) et l'IRC (25,0 %) étaient les principaux facteurs de mortalité en 2019. CONCLUSION: L'IRC et l'HHD étaient les diagnostics les plus courants à l'admission, tandis que la septicémie, l'IRC et les MCV étaient les causes les plus fréquentes de décès. La pandémie de Covid-19 n'a pas modifié de manière significative le schéma d'admission des personnes âgées dans notre contexte. Mots clés: COVID-19, Personnes âgées, Mode d'admission, Mortalité.

Synthesis of ionizable lipopolymers using split-Ugi reaction for pulmonary delivery of various size RNAs and gene editing.

We present an efficient approach for synthesizing cationic poly(ethylene imine) derivatives using the multicomponent split-Ugi reaction to rapidly create a library of complex functional ionizable lipopolymers. We synthesized a diverse library of 155 polymers, formulated them into polyplexes to establish structure-activity relationships crucial for endosomal escape and efficient transfection. After discovering a lead structure, lipopolymer-lipid hybrid nanoparticles are introduced to preferentially deliver to and elicit effective mRNA transfection in lung endothelium and immune cells, including T cells with low in vivo toxicity. The lipopolymer-lipid hybrid nanoparticles showed 300-fold improvement in systemic mRNA delivery to the lung compared to in vivo -JetPEI ® . Lipopolymer-lipid hybrid nanoparticles demonstrated efficient delivery of mRNA-based therapeutics for treatment of two different disease models. Lewis Lung cancer progression was significantly delayed after treatment with loaded IL-12 mRNA in U155@lipids after repeated i.v. administration. Systemic delivery of human CFTR (hCFTR) mRNA resulted in production of functional form of CFTR protein in the lungs. The functionality of hCFTR protein was confirmed by restoration of CFTR- mediated chloride secretion in conductive airway epithelia in CFTR knockout mice after nasal instillation of hCFTR mRNA loaded U155@lipids. We further showed that, U155@lipids nanoparticles can deliver complex CRISPR-Cas9 based RNA cargo to the lung, achieving 5.6 ± 2.4 % gene editing in lung tissue. Moreover, we demonstrated successful PD-1 gene knockout of T cells in vivo . Our results highlight a versatile delivery platform for systemic delivering of mRNA of various sizes for gene therapy for a variety of therapeutics.

Promoting a well-dispersion of MoO3 nanoparticles on fibrous silica catalyst via one-pot synthesis for enhanced photoredox environmental pollutants efficiency.

The coexistence of pharmaceutical compounds and heavy metals in the aquatic environment has resulted in complications in the treatment process and thus, causing uproar among the citizens. The radical-based photocatalysis technology has aroused as an excellent method to eliminate both heavy metal and pharmaceutical compounds in the water. Herein, reported the utilization of the microemulsion technique for the preparation of nanoporous fibrous silica-molybdenum oxide (FSMo) towards simultaneous photocatalytic abatement of hexavalent chromium (Cr(VI)) and tetracycline (TC). The FESEM analysis showed the spherical morphology of the FSMo catalyst with dendrimeric silica fiber. The synthesized FSMo catalyst exhibited narrowed bandgap, high crystallinity, and well Mo element dispersion for enhanced photo-redox of Cr(VI) and TC. Remarkably, simultaneous remediation of the Cr(VI) and TC over FSMo demonstrated superior photocatalytic efficiency, 69% and 75%, respectively, than in the individual system, possibly due to the effective separation of photoinduced charges. The introduction of the Mo element to the silica framework via microemulsion technique demonstrated better dispersion of Mo compared to the incipient wetness impregnation method and thus, yielded higher photocatalytic activity towards simultaneous removal of TC and Cr(VI). Besides, quenching experiments revealed the electrons and holes as the active species that play a dominant role in the simultaneous photo-redox of Cr(VI) and TC. Lastly, the FSMo catalyst demonstrated high stability after four continuous cycles of simultaneous photocatalysis reactions, implying its potential as a suitable material for practical wastewater treatments.

Studies of the presence of rabies virus among stray dogs in Dhaka City.

One hundred and thirty one stray dogs were captured from Dhaka City. Anti-mortem as well post-mortem examination of the dogs for rabies were conducted. Microscopic studies and biological tests were carried-out with dog's brain for the detection of rabies virus. One dog was found to have rabies virus in its brain. The stray dogs under Dhaka Municipal Corporation area therefore, seem to harbour rabies virus in their brains and could be a source of potential danger to the community after the full development of the disease.

Study of the presence of rabies virus in indigenous bats.

One hundred and thirteen fruit eating and insectivorous bats were captured from different parts of Bangladesh. Antemortem and post mortem examinations of the bats for rabies were conducted. Microscopic studies and biological tests were carried-out with bat's brain for the detection of rabies virus. The results were negative. It may therefore, be concluded that the insectivorous and fruit eating bats from different parts of Bangladesh do not act as the reservoir for rabies virus.

Multiple imputation compared with some informative dropout procedures in the estimation and comparison of rates of change in longitudinal clinical trials with dropouts.

Statistical analysis based on multiple imputation (MI) of missing data when analyzing data with missing observations is gaining popularity among statisticians because of availability of computing softwares; it might be tempting to use MI whenever data is missing. An important assumption behind MI is the "ignorability of missingness." In this paper, we demonstrate the use of MI in conjunction with random effects models and several other methods that are devised to handle nonignorable missingness (informative dropouts). We then compare the results to assess sensitivity to underlying assumptions. Our focus is primarily to estimate and compare rates of change (of a primary variable). The application dataset has a high dropout rate and has features to suggest informativeness of the dropout process. The estimates obtained under random effects modeling with multiple imputation were found to differ substantially from those obtained by methods devised to handle informative dropouts.

Linear structural equation model in analyzing quality-of-life-data from clinical trials.

Assessment of quality of life (QOL) in clinical trials becomes a challenging task from the viewpoint of clinical biostatistics. The responses of the items for measuring QOL indices usually vary widely from patient to patient and from time to time. Measurement errors might be present in the responses of the items, and they might be correlated. Hence, in analyzing QOL data, the usual assumption that there are no measurement errors in responses is too liberal. Because the QOL indices are likely to be correlated, separate analysis of each index might not be efficient from the point of view of statistical methodology. We apply linear structural equation modeling (LISREL) in assessing the QOL data obtained from a clinical trial. A basic premise of the LISREL approach is that the abstract concepts (latent constructs) that are not directly measurable can be studied. LISREL is a statistical procedure for conceiving and testing structural hypotheses that cannot be tested adequately with other statistical procedures. It allows us to specify relations between unobserved and observed variables while controlling for measurement errors and correlations among both the measurement errors and the latent constructs.

Dorsalis pedis artery: variations and clinical significance.

A variation not particularly common in the dorsalis pedis artery was noted in routine classroom dissection. The artery was found to be replaced by a large perforating branch of the peroneal artery instead of the terminal part of anterior tibial artery. This variation has got high clinical significance.

A comparison of the random-effects pattern mixture model with last-observation-carried-forward (LOCF) analysis in longitudinal clinical trials with dropouts.

The last-observation-carried-forward imputation method is commonly used for imputting data missing due to dropouts in longitudinal clinical trials. The method assumes that outcome remains constant at the last observed value after dropout, which is unlikely in many clinical trials. Recently, random-effects regression models have become popular for analysis of longitudinal clinical trial data with dropouts. However, inference obtained from random-effects regression models is valid when the missing-at-random dropout process is present. The random-effects pattern-mixture model, on the other hand, provides an approach that is valid under more general missingness mechanisms. In this article we describe the use of random-effects pattern-mixture models under different patterns for dropouts. First, subjects are divided into groups depending on their missing-data patterns, and then model parameters are estimated for each pattern. Finally, overall estimates are obtained by averaging over the missing-data patterns and corresponding standard errors are obtained using the delta method. A typical longitudinal clinical trial data set is used to illustrate and compare the above methods of data analyses in the presence of missing data due to dropouts.