Two genera and species of Isopoda new to the fauna of the northern Arabian Sea

The paper is based on the new records of two genera - Lanocira Hansen and Paranthura Bate and Westwood and species L. gardineri Stebbing and P. latipes Barnard from the rocky intertidal zone of Karachi coast. Synonymes, diagnoses and geographical distribution of the genera are given. A list of known species of the genus Lanocira is provided. Both the species are described and illustrated in detail

Evaluation of antihyperglycemic and hypolipidemic activity of ethanolic extract of Clerodendrum infortunatum Linn. in experimental animals

Background: Diabetes mellitus (DM) is the most common non-communicable disease of the modern world. The study of plants having antihyperglycemic and hypolipidemic activities may give a new approach in the treatment of DM. The study was intended to evaluate the antihyperglycemic and hypolipidemic activity of ethanolic extract of Clerodendrum infortunatum Linn. (EECL) in alloxan-induced diabetic albino rats.Methods: Diabetes was induced in albino rats by administration of alloxan monohydrate (160 mg/kg, intraperitoneal). Rats were divided into six groups of six animals each. First group served as non-diabetic control, second group as diabetic control, third group as standard and was treated with 0.1 mg/kg/day of glibenclamide. Group 4, 5, and 6 received 200 and 400 mg/kg body weight of EECL. Blood samples were analyzed for blood glucose on day 1, 3, 7, 14, 21, and 28 and lipid profile on day 28.Results: The EECL showed a significant reduction (p<0.001) in blood glucose level and serum lipid profile levels with 400 mg/kg body weight in alloxan induced diabetic rats as compared with control.Conclusion: It is concluded that EECL is effective in controlling blood glucose levels and in improving lipid profile in diabetic rats

Does Explainable Artificial Intelligence Improve Human Decision-Making?

Explainable AI provides insight into the "why" for model predictions, offering potential for users to better understand and trust a model, and to recognize and correct AI predictions that are incorrect. Prior research on human and explainable AI interactions has focused on measures such as interpretability, trust, and usability of the explanation. Whether explainable AI can improve actual human decision-making and the ability to identify the problems with the underlying model are open questions. Using real datasets, we compare and evaluate objective human decision accuracy without AI (control), with an AI prediction (no explanation), and AI prediction with explanation. We find providing any kind of AI prediction tends to improve user decision accuracy, but no conclusive evidence that explainable AI has a meaningful impact. Moreover, we observed the strongest predictor for human decision accuracy was AI accuracy and that users were somewhat able to detect when the AI was correct versus incorrect, but this was not significantly affected by including an explanation. Our results indicate that, at least in some situations, the "why" information provided in explainable AI may not enhance user decision-making, and further research may be needed to understand how to integrate explainable AI into real systems

Terpenylic acid and related compounds: precursors for dimers in secondary organic aerosol from the ozonolysis of α- and β-pinene

In the present study, we have characterized the structure of a higher-molecular weight (MW) 358 α- and β-pinene dimeric secondary organic aerosol (SOA) product that received ample attention in previous molecular characterization studies and has been elusive. Based on mass spectrometric evidence for deprotonated molecules formed by electrospray ionization in the negative ion mode and chemical considerations, it is suggested that diaterpenylic acid is a key monomeric intermediate for dimers of the ester type. It is proposed that cis-pinic acid is esterified with the hydroxyl-containing diaterpenylic acid, which can be explained through acid-catalyzed hydrolysis of the recently elucidated lactone-containing terpenylic acid and/or diaterpenylic acid acetate, both first-generation oxidation products. To a minor extent, higher-MW 358 and 344 diester products are formed containing other terpenoic acids as monomeric units, i.e., diaterpenylic acid instead of cis-pinic acid, and diaterebic acid instead of diaterpenylic acid. It is shown that the MW 358 diester and related MW 344 compounds, which can be regarded as processed SOA products, also occur in ambient fine (PM2.5) rural aerosol collected at night during the warm period of the 2006 summer field campaign conducted at K-puszta, Hungary, a rural site with coniferous vegetation. This indicates that, under ambient conditions, the higher-MW diesters are formed in the particle phase over a longer time-scale than that required for gas-to-particle partitioning of their monomeric precursors in laboratory α-/β-pinene ozonolysis experiments

Enhanced Metal Levels in Vegetables and Farm Soil irrigated with Industrial Waste Water

In water stressed Karachi city, waste water is often used for irrigating vegetables fields. Persistent use of waste water causes accumulation of heavy metals in agricultural soils and vegetables. Cd, Cr, Zn and Mn act as essential micronutrients but become toxic after crossing threshold values. To study the effect of waste water on heavy metal concentration in vegetables, soil and water an area irrigated separately with waste water and treated water were selected. Concentrations of Cd, Cr, Zn and Mn in beet, potato and radish were measured by atomic absorption spectrophotometer. The data obtained was tested at 95% (±2s) confidence level for six replicate measurements. The levels of Zn was found higher in both the treated water and vegetables beet, potato and radish irrigated with treated water but Mn was higher in industrial waste water and soil irrigated with industrial waste water and treated water. Soil irrigated with treated water contained (mg.L-1) 0.007 of Cd; 0.128 Cr; 2.672 Mn and 0.714 Zn. Soil irrigated with waste water seems to accumulate significant concentration of metals. It showed (mg.L-1) 5.85 of Cd; 84.5 Cr; 480.3 Mn and 305 Zn. Vegetables irrigated with industrial waste water have shown concurrent rise in metal levels. Mn was 0.860 mg.L-1 in radish, Cr 0.320 mg.L-1 in beet and Cd 0.330 mg.L-1 in potato

Seasonal variations among admitted paediatric patients at tertiary care hospital, Gadap Town, Karachi, Pakistan

Background: In pediatrics, the season is one of the elements contributing to the etiological factors of community based diseases. Awareness of this variation can help the physicians for prevention and counseling of the patients. A cross-sectional observational study was designed with non-probability convenient sampling technique to determine the frequency of patients admitted to the paediatric ward of the hospital in a whole calendar year and to ascertain which disease presentation is most common. Methods: Study conducted at paediatric ward of Al-Tibri Medical College and Hospital Karachi, Pakistan having patients admitted during May 2018 to April 2019. After ethical approval and informed consent from their parents/ guardian, a total of 734 paediatric patients that were admitted from paediatric OPD/ emergency were selected for the study. Paediatric patients that were referred, in emergency/ ICU and surgical paediatric patients were excluded from the study. Chi-square test was applied to evaluate the statistical variation among the patients.Results: From the 734 patients, 357 (48.6%) patients were of acute gastroenteritis, 104 (14.2%) of respiratory illness, 86 (11.7%) of viral fever, 67 (9.1%) of urinary tract infection, 36 (4.9%) of neurological illness, 29 (4.0%) of protein calorie malnutrition, 25 (3.4%) of enteric fever, 20 (2.7%) of haematological illness and 10 (1.4%) patients were admitted due to sepsis.Conclusion: Our study concluded that majority of the patients admitted were of acute gastroenteritis / admitted due to gastric issues, therefore further studies in the vicinity would help to better understand the issues and help plan a strategy to combat the diseases

A novel body coloration phenotype in Anolis sagrei:Implications for physiology, fitness, and predation

<div><p>In animals, color signals that convey information about quality are often associated with costs linked to the expression of coloration and may therefore be honest signals of sender quality. Honest indicators are often seen in sexual signals that are used by males to advertise quality to females. Carotenoid and pterin pigments are responsible for yellow, orange, and red coloration in a variety of taxa, but can also serve important roles as antioxidants by reducing free radicals in the body. In this study, we test the effects of a novel full-bodied orange color phenotype of the brown anole, <i>Anolis sagrei</i>, on mate choice, physiology, and survival. We found no evidence that lizards expressing the orange phenotype were preferred by females. Additionally, they did not differ in immune function, running endurance, or maximum sprint speed from lizards that did not express the novel phenotype. Pigment extractions revealed that orange body coloration resulted from pterin pigments and not carotenoids. Visual models suggest that the orange phenotype is less conspicuous to bird predators than the brown phenotype and may provide an adaptive explanation for the persistence of this trait. Given its small, yet positive effect on fitness, we expect the orange color phenotype to increase in frequency in subsequent decades.</p></div

Generalised Regression Hypothesis Induction for Energy Consumption Forecasting

This work addresses the problem of energy consumption time series forecasting. In our approach, a set of time series containing energy consumption data is used to train a single, parameterised prediction model that can be used to predict future values for all the input time series. As a result, the proposed method is able to learn the common behaviour of all time series in the set (i.e., a fingerprint) and use this knowledge to perform the prediction task, and to explain this common behaviour as an algebraic formula. To that end, we use symbolic regression methods trained with both single- and multi-objective algorithms. Experimental results validate this approach to learn and model shared properties of different time series, which can then be used to obtain a generalised regression model encapsulating the global behaviour of different energy consumption time series.This work was supported by the Spanish Government (research project TIN201564776-C3-1-R). M. Molina-Solana was funded by European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 743623

Aldehyde dehydrogenase-1a1 induces oncogene suppressor genes in B cell populations

AbstractThe deregulation of B cell differentiation has been shown to contribute to autoimmune disorders, hematological cancers, and aging. We provide evidence that the retinoic acid-producing enzyme aldehyde dehydrogenase 1a1 (Aldh1a1) is an oncogene suppressor in specific splenic IgG1+/CD19− and IgG1+/CD19+ B cell populations. Aldh1a1 regulated transcription factors during B cell differentiation in a sequential manner: 1) retinoic acid receptor alpha (Rara) in IgG1+/CD19− and 2) zinc finger protein Zfp423 and peroxisome proliferator-activated receptor gamma (Pparg) in IgG1+/CD19+ splenocytes. In Aldh1a1−/− mice, splenic IgG1+/CD19− and IgG1+/CD19+ B cells acquired expression of proto-oncogenic genes c-Fos, c-Jun, and Hoxa10 that resulted in splenomegaly. Human multiple myeloma B cell lines also lack Aldh1a1 expression; however, ectopic Aldh1a1 expression rescued Rara and Znf423 expressions in these cells. Our data highlight a mechanism by which an enzyme involved in vitamin A metabolism can improve B cell resistance to oncogenesis

ADRA2A and IRX1 are putative risk genes for Raynaud's phenomenon

Raynaud's phenomenon (RP) is a common vasospastic disorder that causes severe pain and ulcers, but despite its high reported heritability, no causal genes have been robustly identified. We conducted a genome-wide association study including 5,147 RP cases and 439,294 controls, based on diagnoses from electronic health records, and identified three unreported genomic regions associated with the risk of RP (p < 5 × 10-8). We prioritized ADRA2A (rs7090046, odds ratio (OR) per allele: 1.26; 95%-CI: 1.20-1.31; p < 9.6 × 10-27) and IRX1 (rs12653958, OR: 1.17; 95%-CI: 1.12-1.22, p < 4.8 × 10-13) as candidate causal genes through integration of gene expression in disease relevant tissues. We further identified a likely causal detrimental effect of low fasting glucose levels on RP risk (rG = -0.21; p-value = 2.3 × 10-3), and systematically highlighted drug repurposing opportunities, like the antidepressant mirtazapine. Our results provide the first robust evidence for a strong genetic contribution to RP and highlight a so far underrated role of α2A-adrenoreceptor signalling, encoded at ADRA2A, as a possible mechanism for hypersensitivity to catecholamine-induced vasospasms