Next challenges for adaptive learning systems

Learning from evolving streaming data has become a 'hot' research topic in the last decade and many adaptive learning algorithms have been developed. This research was stimulated by rapidly growing amounts of industrial, transactional, sensor and other business data that arrives in real time and needs to be mined in real time. Under such circumstances, constant manual adjustment of models is in-efficient and with increasing amounts of data is becoming infeasible. Nevertheless, adaptive learning models are still rarely employed in business applications in practice. In the light of rapidly growing structurally rich 'big data', new generation of parallel computing solutions and cloud computing services as well as recent advances in portable computing devices, this article aims to identify the current key research directions to be taken to bring the adaptive learning closer to application needs. We identify six forthcoming challenges in designing and building adaptive learning (pre-diction) systems: making adaptive systems scalable, dealing with realistic data, improving usability and trust, integrat-ing expert knowledge, taking into account various application needs, and moving from adaptive algorithms towards adaptive tools. Those challenges are critical for the evolving stream settings, as the process of model building needs to be fully automated and continuous.</jats:p

Phytochemical Content and Antioxidant Potential of Citrus reticulata Collected in the Thanjavur District, South India

This study was designed to investigate the phytochemical and the antioxidant activities of fruits, peels and leaves extracts of Citrus reticulata. The total alkaloids, saponin, phenolic acid and flavonoids were determined spectrophotometrically while antioxidant potentials were evaluated with 2,2’-diphenyl-1-picrylhydrazyl (DPPH), hydrogen peroxide (H2O2) protocols. The fruit extract shows the highest phenolic acid content of 33.94 mg/GAE/g. Flavonoids content was highest in the peels extract 14.30 mg/QE/g. All the extracts showed significant antioxidant activities H2O2, DPPH along a concentration gradient. Antioxidant capacity is also high in the test plant suggesting its biomedicinal value to human health

Reactivity of Some Transition Metal Complexes of Anthranilic Acid with Leucine and Monochloroacetic Acid

Six mixed ligand complexes of [M(Anth) (Leu)] . nH20 and [M(Anth) (Clac)] types, where M=Co, Ni and Cu; n e=O, 2 or 4; Anth e anthranilate and Leu e leucinate, have been prepared. They were characterized on the basis of their analyses, infrared and UV-VIS spectra, magnetic and thermal measurements. All the compounds were found to have presumably distorted octahedral configurations. The polymeric structure of the complexes is indicated by their insolubility and high thermal stability

\u3cem\u3eRhaphiolepis indica\u3c/em\u3e Fruit Extracts for Control \u3cem\u3eFusarium solani\u3c/em\u3e and \u3cem\u3eRhizoctonia solani,\u3c/em\u3e the Causal Agents of Bean Root Rot

Numerous strategies have been suggested to reduce dependence on synthetic products, such as physical, microbial, and natural methods. Among the natural remedies, plant extracts have emerged as a popular option owing to their eco-friendly character, ease of degradation, and harmless nature to humans. In our study, we used the acetone and hexane extracts of Rhaphiolepis indica fruit to combat two fungal pathogens that were isolated from infected bean plants and showed root rot symptoms. The two pathogens were confirmed to be pathogenic by pathogenicity assays conducted in vivo. The morphological and molecular identification by ITS-region sequencing revealed that the two isolates were Rhizoctonia solani and Fusarium solani, and they were assigned accession numbers OQ880457 and OQ820158, respectively. Our data showed that both hexane and acetone extracts caused a significant decrease in the linear growth of F. solani at all concentrations used (1%, 2%, and 3%), compared to the control. However, at a concentration of 3%, the hexane extract caused much greater inhibition than the acetone extract. For R. solani, the hexane extract, shows a significant inhibition percentage at all concentrations, which further increases to 85.24% at 3% concentration. The HPLC of both extracts indicated the presence and absence of phenolic and flavonoid compounds. The obtained results revealed that five acetonic phenolic extract compounds were ferulic, p-coumaric, gallic, p-OH benzoic, and cinnamic, with concentrations of 5.31, 10.36, 7.24, 6.08, and 0.89 mg/mL, respectively. On the other hand, the five hexanoic phenolic compounds were catechol, caffeic, chlorogenic, p-OH benzoic, and cinnamic acids, with concentrations of 3.66, 5.14, 0.69, 6.31, and 13.47 mg/mL, respectively. The identified acetonic flavonoid extract compounds, namely rutin, chrysin, quercetin, kaempferol, chrysoeriol, 7-OH flavone, and naringin, had respective concentrations of 5.36, 10.23, 4.32, 15.33, 1.06, 0.087, and 0.069 mg/mL, respectively. In contrast, it was observed that the seven hexanoic flavonoid extracts comprised of rutin, quercetin, kampferol, luteolin, chrysoeriol, 7-OH flavone, and catechin exhibited concentrations of 5.36, 7.15, 18.20, 6.04, 2.04, 10.24, and 13.43 mg/mL, respectively. The results of the study suggest that plant extracts may be a useful natural remedy for combating fungal pathogens and reducing dependence on synthetic products

COVID-19 in relation to hyperglycemia and diabetes mellitus

Coronavirus disease 2019 (COVID-19), triggered by the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), may lead to extrapulmonary manifestations like diabetes mellitus (DM) and hyperglycemia, both predicting a poor prognosis and an increased risk of death. SARS-CoV-2 infects the pancreas through angiotensin-converting enzyme 2 (ACE2), where it is highly expressed compared to other organs, leading to pancreatic damage with subsequent impairment of insulin secretion and development of hyperglycemia even in non-DM patients. Thus, this review aims to provide an overview of the potential link between COVID-19 and hyperglycemia as a risk factor for DM development in relation to DM pharmacotherapy. For that, a systematic search was done in the database of MEDLINE through Scopus, Web of Science, PubMed, Embase, China National Knowledge Infrastructure (CNKI), China Biology Medicine (CBM), and Wanfang Data. Data obtained underline that SARS-CoV-2 infection in DM patients is more severe and associated with poor clinical outcomes due to preexistence of comorbidities and inflammation disorders. SARS-CoV-2 infection impairs glucose homeostasis and metabolism in DM and non-DM patients due to cytokine storm (CS) development, downregulation of ACE2, and direct injury of pancreatic beta-cells. Therefore, the potent anti-inflammatory effect of diabetic pharmacotherapies such as metformin, pioglitazone, sodium-glucose co-transporter-2 inhibitors (SGLT2Is), and dipeptidyl peptidase-4 (DPP4) inhibitors may mitigate COVID-19 severity. In addition, some antidiabetic agents and also insulin may reduce SARS-CoV-2 infectivity and severity through the modulation of the ACE2 receptor expression. The findings presented here illustrate that insulin therapy might seem as more appropriate than other anti-DM pharmacotherapies in the management of COVID-19 patients with DM due to low risk of uncontrolled hyperglycemia and diabetic ketoacidosis (DKA). From these findings, we could not give the final conclusion about the efficacy of diabetic pharmacotherapy in COVID-19; thus, clinical trial and prospective studies are warranted to confirm this finding and concern

Carbetocin versus Oxytocin and Misoprostol in prevention of atonic post-partum hemorrhage in high risk patients planed for cesarean delivery

Background: Post-partum hemorrhage prevention (PPH) is considered a major issue due to its effect on maternal morbidity and mortality. The objective of this study was to compare efficacy of Carbetocin in prevention of atonic post-partum hemorrhage in high risk patients undergoing elective caesarean section in comparison to Oxytocin and Misoprostol.Methods: 150 pregnant women prepared for elective caesarean section were classified into 3 groups; Group I (50 patients received Carbetocin 100 mg I.V infusion), Group II (50 patients received 20 IU of Oxytocin infusion on 1000 ml of normal saline solution) and Group III (50 cases received Misoprostol 400 µg per rectum immediately before induction of anaesthesia). Assessment of PPH and its degree was determined according to amount of blood loss during and for first 24 hours of caesarean delivery, also further need for haemostatic measures were also assessed.Results: There was a statistically significant difference in PPH among the three groups 6, 14 and 12% for group I, II and III respectively (P <0.001), major PPH was 0, 4 and 6% for the same groups respectively (P <0.001). The need for additional uterotonic agents was significantly lesser in Group I compared to Group II and III (2% versus 8 and 12% respectively P = 0.02) also the need for additional surgical measures was significantly lesser among the three groups (P= 0.00). The drop in Hb level and haematocrit value was significantly lesser in group I compared to group II& III (P <0.05). The need for blood transfusion was significantly lesser in Group I compared to group II and III (0% versus 12% p <0.0001)Conclusions: Carbetocin was superior to Oxytocin and Misoprostol in prevention of atonic PPH in high risk patients underwent elective caesarean delivery. Carbetocin should be administered for all cases undergoing elective CS and carry a risk factor for postpartum hemorrhage.

Pirfenidone and post-Covid-19 pulmonary fibrosis: invoked again for realistic goals

Financiado para publicación en acceso aberto: Universidade de Vigo/CISUGPirfenidone (PFN) is an anti-fbrotic drug with signifcant anti-infammatory property used for treatment of fbrotic conditions such as idiopathic pulmonary fbrosis (IPF). In the coronavirus disease 2019 (Covid-19) era, severe acute respiratory syndrome 2 (SARS-CoV-2) could initially lead to acute lung injury (ALI) and in severe cases may cause acute respiratory distress syndrome (ARDS) which is usually resolved with normal lung function. However, some cases of ALI and ARDS are progressed to the more severe critical stage of pulmonary fbrosis commonly named post-Covid-19 pulmonary fbrosis which needs an urgent address and proper management. Therefore, the objective of the present study was to highlight the potential role of PFN in the management of post-Covid-19 pulmonary fbrosis. The precise mechanism of post-Covid-19 pulmonary fbrosis is related to the activation of transforming growth factor beta (TGF-β1), which activates the release of extracellular proteins, fbroblast proliferation, fbroblast migration and myofbroblast conversion. PFN inhibits accumulation and recruitment of infammatory cells, fbroblast proliferation, deposition of extracellular matrix in response to TGFβ1 and other pro-infammatory cytokines. In addition, PFN suppresses furin (TGFβ1 convertase activator) a protein efector involved in the entry of SARS-CoV-2 and activation of TGFβ1, and thus PFN reduces the pathogenesis of SARS-CoV-2. Besides, PFN modulates signaling pathways such as Wingless/Int (Wnt/β-catenin), Yes-Associated Protein (YAP)/Transcription CoActivator PDZ Binding Motif (TAZ) and Hippo Signaling Pathways that are involved in the pathogenesis of post-Covid-19 pulmonary fbrosis. In conclusion, the anti-infammatory and anti-fbrotic properties of PFN may attenuate post-Covid-19 pulmonary fbrosis

The directional occurrence of the Levantine geomagnetic field anomaly: New data from Cyprus and abrupt directional changes

We present new insights on the directional occurrence of the Levantine Iron Age Anomaly (LIAA) through the analysis of new and previously published directional archaeomagnetic data from Cyprus and nearby countries. The new directions, obtained from in situ baked clay structures such as small hearths and ovens from five Cypriot archaeological sites, dated from 2000 BCE to 1400 CE, are very well defined and are added to the scant reference dataset for Cyprus. The new records together with literature data from nearby countries are used to investigate the directional variations of the geomagnetic field in the Eastern Mediterranean and Middle East. The first directional palaeosecular variation curve for Middle East is calculated using a critical selection of reference data from Cyprus, Israel, Turkey and Syria. The curve covers the last four millennia and shows several periods characterized by abrupt directional changes. A maximum change in curvature is clearly observed around 900 BCE, characterized by a change rate as high as 13.2° per century. The new curve confirms that during the Levantine Iron Age Anomaly notable for extreme intensity values, the geomagnetic field was characterized by steep inclinations and important directional change too. The maximum curvature is shifted by around one century from the two distinct intensity spikes previously observed in Levant around the 10th and 8th centuries BCE. Other periods of important curvature change are also identified and deserve further investigation