Design of Extended Channel Ge-source TFET for Low Power Applications

In this paper, a novel design of a TFET structure using Ge-source and extending a part of the channel into the source is proposed. The DC performance is analyzed by evaluating the ON current, ION/IOFF ratio and subthreshold swing (SS). Moreover, the high-frequency performance is inspected in terms of transconductance (gm) and unit-gain cutoff frequency (fT). All simulations are performed utilizing 2D SILVACO TCAD. It is demonstrated that the ON current and the cut-off frequency can be simultaneously improved by appropriate design of the proposed structure

Calcareous nannofossil bioevents at the Paleocene/Eocene boundary in Kharga Oasis, Western Desert of Egypt

Two upper Palaeocene – lower Eocene stratigraphic sequences at the Kharga Oasis (Umm El Ghanayim and Naqb Assiut sections) were studied biostratigraphically on the basis of their calcareous nannofossil content. The investigated interval includes the upper part of the Tarawan Formation, the Tarawan Chalk, and the Esna formations. A total number of sixty-seven different taxa have been identified. The lowest occurrence (LO) of Discoaster araneus was used to place the base of the NP9b Subzone (base of Eocene) at the Gabal Umm El Ghanayim section. The lowest occurrences (LOs) of Rhomboaster bitrifida, Discoaster araneus and D. anartios are used to define the NP9a/NP9b subzonal boundary at the Gabal Naqb Assiut section. In this section,the P/E boundary is marked by a minor lithologic hiatus as indicated by the absence of the basal part of the Dababiya Member.At the studied two sections, a major turnover in calcareous nannofossil assemblages across the P/E transition was documented. The abundance of warm water Ericsonia subpertusa, Fasculithusspp., Coccolithus eopelagicus, Discoaster spp., Rhomboaster bitrifida and Tribrachiatus bramlettei characterize the Palaeocene-Eocene transition and suggest global warming and the Palaeocene – Eocene Thermal Maximum (PETM).</p

Multiproxy analyses of paleoenvironmental and paleoceanographic changes during the Danian-Selandian in East Central Sinai: An integrated stable isotope and planktic foraminiferal data

Forty-three planktic foraminifera samples from the Themed section (East Central Sinai; Egypt) spanning the Zone Parvularugoglobigerina eugubina (Pα) to the Subzone Acarinina subsphaerica (P4b) have been studied. Data from δ13C, δ18O, and planktic foraminifera-based species diversity, depth habitat, preference for warm and cool surface waters, and nutrients (oligotrophic, mesotrophic, and eutrophic conditions) are used to infer paleoenvironmental changes throughout the Danian‒Selandian duration. Based on quantitative multivariate analyses (hierarchical cluster and principal component), three distinct intervals were recognized, Interval 1 (Pα‒P1b), Interval 2 (P1c‒P3a), and Interval 3 (P3a‒P4b). Interval 2 is further subdivided into three subintervals, 2a (part P1c), 2b (part P1c), and 2c (P2‒P3a). Two δ13C events are identified, Dan-C2 and Latest Danian Event (LDE) and elaborated concerning paleoenvironmental changes. During the earliest Danian planktic foraminiferal Pα Zone, moderately shallow and eutrophic conditions prevailed with cool surface waters and a shallow thermocline. Comparable conditions were still prevailing during P1a‒P1b, but with slightly deeper and mesotrophic conditions and a somewhat deeper thermocline and reduced stratification. P1b‒P1c exhibits a major shift from Eoglobigerina to Subbotina‒ Parasubbotina with cooler surface waters and moderate mesotrophic conditions. For Subzone P1c (upper part), slightly mesotrophic conditions were inferred, whereas for P2‒P3a (lower part), surface water warming and thermocline shallowing events have inferred with increased oligotrophic conditions. The Latest Danian Event (mid-P3a) is marked by a dramatic negative δ13C excursion, warm waters, increased mesotrophic conditions, and enhanced stratification. The dominance of Morozovella, Acarinina, and Igorina specify warm and oligotrophic conditions for subzones P3b‒P4b

Gingival Crevicular Fluid and Placental Tissue Levels of Interleukin-17 as a Possible Marker for Preterm Labor in Patients with Chronic Periodontitis

Background:  The present study was conducted to evaluate the levels of interleukin (IL)-17 in gingival crevicular fluid (GCF) and placental tissue samples of pregnant females as a possible marker in determining whether or not an association exists between chronic periodontitis and preterm labor. Methods:  This case-control study included a random sample of 40 female patients, aged 18 to 35 years, who were assigned to one of the following four groups (10 subjects each): group 1 included patients who underwent spontaneous preterm birth (PB) and were diagnosed with chronic periodontitis upon clinical examination (preterm/periodontitis); group 2 included patients who underwent spontaneous PB and who had a healthy periodontium upon clinical examination (preterm/healthy periodontium); group 3 included patients who underwent spontaneous normal term birth and were diagnosed with chronic periodontitis upon clinical examination (term/periodontitis); and group 4 included patients who underwent spontaneous normal term birth and who had a healthy periodontium upon clinical examination (term/healthy periodontium). GCF and placental tissue samples were obtained from each patient and IL-17 levels were measured using enzyme-linked immunosorbent assay (ELISA). Results: GCF levels of IL-17 were significantly higher (P=0.010) in patients with chronic periodontitis compared to those with a healthy periodontium. No significant differences were observed in IL-17 levels in placental tissue samples of all study groups. Conclusion: An association between chronic periodontitis and preterm labor could not be established based on IL-17 levels measured in the present study

Design of Extended Channel Ge-source TFET for Low Power Applications

In this paper, a novel design of a TFET structure using Ge-source and extending a part of the channel into the source is proposed. The DC performance is analyzed by evaluating the ON current, ION/IOFF ratio and subthreshold swing (SS). Moreover, the high-frequency performance is inspected in terms of transconductance (gm) and unit-gain cutoff frequency (fT). All simulations are performed utilizing 2D SILVACO TCAD. It is demonstrated that the ON current and the cut-off frequency can be simultaneously improved by appropriate design of the proposed structure

Properties of concrete incorporating locally produced Portland limestone cement

Blended cements are increasingly being used in concrete to reduce the amount of clinker in the cement, thus achieving both economic and environmental gains. The use of limestone as a component of Portland cement is now common practice worldwide. Reducing the amount of cement clinker with limestone additions is considered a highly efficient way of saving natural resources, saving energy and lowering the carbon dioxide emissions. The main objective of this research is to investigate the effect of using locally produced Portland limestone cement (PLC) on the concrete characteristics. Tests determining the fresh, hardened and durability properties of concrete were conducted on PLC concrete specimens and then compared to similar results of concrete made with Ordinary Portland cement. This investigation concluded that concrete made with CEM II (A-L) accomplished competitive results with OPC CEM I 42.5 concrete. Furthermore, all PLC concretes achieved lower water permeability compared to OPC concretes. Keywords: Ordinary Portland cement (OPC), Portland limestone cement (PLC), Portland composite cement, Water permeability, Sulfate resistance, Rapid chloride penetratio

Imipenem/cilastatin encapsulated polymeric nanoparticles for destroying carbapenem-resistant bacterial isolates

Abstract Background Carbapenem-resistance is an extremely growing medical threat in antibacterial therapy as the incurable resistant strains easily develop a multi-resistance action to other potent antimicrobial agents. Nonetheless, the protective delivery of current antibiotics using nano-carriers opens a tremendous approach in the antimicrobial therapy, allowing the nano-formulated antibiotics to beat these health threat pathogens. Herein, we encapsulated imipenem into biodegradable polymeric nanoparticles to destroy the imipenem-resistant bacteria and overcome the microbial adhesion and dissemination. Imipenem loaded poly Ɛ-caprolactone (PCL) and polylactide-co-glycolide (PLGA) nanocapsules were formulated using double emulsion evaporation method. The obtained nanocapsules were characterized for mean particle diameter, morphology, loading efficiency, and in vitro release. The in vitro antimicrobial and anti adhesion activities were evaluated against selected imipenem-resistant Klebsiella pneumoniae and Pseudomonas aeruginosa clinical isolates. Results The obtained results reveal that imipenem loaded PCL nano-formulation enhances the microbial susceptibility and antimicrobial activity of imipenem. The imipenem loaded PCL nanoparticles caused faster microbial killing within 2–3 h compared to the imipenem loaded PLGA and free drug. Successfully, PCL nanocapsules were able to protect imipenem from enzymatic degradation by resistant isolates and prevent the emergence of the resistant colonies, as it lowered the mutation prevention concentration of free imipenem by twofolds. Moreover, the imipenem loaded PCL eliminated bacterial attachment and the biofilm assembly of P. aeruginosa and K. pneumoniae planktonic bacteria by 74 and 78.4%, respectively. Conclusions These promising results indicate that polymeric nanoparticles recover the efficacy of imipenem and can be considered as a new paradigm shift against multidrug-resistant isolates in treating severe bacterial infections

Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture

Abstract Prostate cancer, the most common cancer in men, is influenced by age, family history, genetics, and lifestyle factors. Early detection of prostate cancer using screening methods improves outcomes, but the balance between overdiagnosis and early detection remains debated. Using Deep Learning (DL) algorithms for prostate cancer detection offers a promising solution for accurate and efficient diagnosis, particularly in cases where prostate imaging is challenging. In this paper, we propose a Prostate Cancer Detection Model (PCDM) model for the automatic diagnosis of prostate cancer. It proves its clinical applicability to aid in the early detection and management of prostate cancer in real-world healthcare environments. The PCDM model is a modified ResNet50-based architecture that integrates faster R-CNN and dual optimizers to improve the performance of the detection process. The model is trained on a large dataset of annotated medical images, and the experimental results show that the proposed model outperforms both ResNet50 and VGG19 architectures. Specifically, the proposed model achieves high sensitivity, specificity, precision, and accuracy rates of 97.40%, 97.09%, 97.56%, and 95.24%, respectively