architecture

Desmodium adscendens is a rain forest medicinal herb used in managing quite a number of medical conditions. Its efficacy in the treatment of several diseases has made it a first line herb for doctors, especially in managing all forms of spasm. It is however common knowledge that some of these medicinal herbs impact severely on the normal functioning of some vital organs of the body during their administration. The present study was carried out to assess the renal and cardiovascular performance in subjects undergoing treatment with Desmodium adscendens with a view to advising against its indiscriminate use. The parameters used for the assessment of renal functions were serum creatinine and urea concentrations and their clearance. Also, changes in electrolyte concentration of Sodium, Potassium and Chloride concentration were used to assess cardiovascular performance. The histology of the kidney and heart tissues was also done to determine if the extract has impact on the cyto-architecture of the organs. Twenty-four (24) wistar rats were used for the experiment. The rats were grouped randomly into four groups (n = 6). Group 1 served as control, and the rats in the group were given normal rat feeds and water. Group 2 served as low dose group, and rats in this group were administered with low dose of extract 300 mg/kg. Group 3 served as medium group, and rats in this group were treated with medium dose of extract, 450 mg/kg. Group 4 served as high dose group, and rats in this group were treated with high dose of extract 600 mg/kg. The extract was administered for 28 days. Result showed that the extract did not impact negatively on the normal function of the renal and cardiovascular system of the treated groups, rather it enhanced their performances. It can therefore be concluded that the extract is beneficial to renal and cardiovascular functions if used within the treatment dosage. 

Nonsurgical fertility control is increasingly advocated as more cost-effective than surgical sterilization to manage stray animal populations in a different part of the world. An experimental study was conducted from December 2018 to April 2019 at Mekelle University to evaluate the effect of single bilateral intratesticular injection of cetrimide 2% in adult albino mice. A total of 20 clinically healthy albino mice selected based on their age and sex and were divided randomly into five groups and evaluation was conducted for 30 days after intratesticular injection of cetrimide solution 2% at the dose rate of 5, 10, 15 and 20 mg per testis and for control 0.1 mL normal saline per testis per 100 g body weight were given. All albino mice were evaluated for 30 days at a fixed interval. Change in body weight, scrotal width, sexual behavior, and fertility performance was also assessed. On day 30, all albino mice were sacrificed for histopathological study. Means  ±  Standard deviation of the mean, one-way, and a mixed model ANOVA (for repeated measures) was used to summarize the data, determine the effects of group and time on bodyweight and scrotal width. The significant increase in body weight (p - 0.001) and significant reduction of scrotal width (p - 0.001) were noted in all cetrimide treated in comparison to control groups. In addition, there was a significant (p < 0.05) reduction of scrotal width in albino mice after intratesticular injection of cetrimide on day 1, 10, 15, 20, 25, and 30 with respect to their experimental groups. Testicular histology revealed that there were multinucleated giant cells in seminiferous tubules, derangement of tubular architecture along with infiltration of leucocytes and appearance of fibrous tissue were seen on testicular sections at a dose rate of 15 and 20 mg. Similarly, a significant change in the sexual behavior of the treated males and no pregnancy was detected on female albino mice after 21 days post-coital at 10, 15, or 20 mg cetrimide-treated males. In conclusion, a single bilateral intratesticular injection of cetrimide 2% at a dose of 15 and 20 mg might provide an effective way of sterilization and may be considered as an alternative to surgical castration in male animals. Besides, further assessment should be done in the future to identify the mechanism of infertility.

Irvine-Gass syndrome, is one of the most common causes of painless decrease in vision following even uneventful cataract surgery. It usually responds well to medical therapy, but, there are no widely acceptedconsensus on the efficacy of various therapeutic options for the treatment of Irvine-Gass syndrome. The patient presenting in this case report, has systemic hypertension and chronic obstructive pulmonary disease and he use oral anti-hypertension medication and inhaler steroid. He diagnosed as Irvine-Gass syndrome due to presence of decrease in visual acuity and macular edema with hyporeflective cystic intraretinal spaces in optical coherence tomography (OCT) since4th weekcontrol visitfollowing uneventful cataract surgery. After the responsiveness of several medications including topical steroid and non-steroidal anti-inflammatory drugs and intravitreal injection of anti-vascular endothelial growth factor (anti-VEGF), intravitreal sustained-release dexamethasone implant was applied. The visual acuity improved to 0.00 logMAR at 1st month after intravitreal dexamethasone therapy and consecutive OCT images showed complete resolution of macular edema with a normalization of the foveal profile.The visual acuity and foveal architecture remained stable in 2-year follow-up period and additional treatment was not needed. To the best of our knowledge, this is the first reportthatmentions the increment of visual acuity after a single dexamethasone implant, even though it did not response anti-VEGF combined with topical steroid and non-steroidal anti-inflammatory drugs. 

Purpose: Analyze Microincision Cataract surgery wound using Fourier-Domain optical coherence tomography. Setting: Medical School of Medicine, Catholic University of Brasilia, Brasília, Brazil. Design: Prospective comparative observational study Methods: Forty eyes were included in this prospective study divided in two groups: with contact lens (CL) and without contact lens (WCL). A line scan pattern of the corneal incisions were acquired using a Spectral domain OCT system immediately after the surgery, and at postoperative days 1, 7 and 30. Incisions were analyzed regarding length, location, angle, architecture, and anatomic imperfections. Results: All incisions were located temporal or nasal superiorly. The average wound length was 1.28 + 0.18mm and the mean incision angle was 49 + 9 degrees. The average wound length of the WCL group mean was 1.24 + 0.17 mm and the mean incision angle was 51 + 8 degrees. Comparing groups for the length and the angle, the incisions measurements were not statistically significant. Anatomic imperfections were observed at the first day postoperative in 12 eyes for CL group and in 13 eyes for the WCL group. No patient presented endophthalmitis during the follow-up. Conclusion: Epithelial imperfection was observed in two patients in the WCL group with spontaneous resolution. The CL group had the highest length and lowest angle of corneal incision. Using contact lens to prevent wound construction imperfection appears not to be a good option. Further studies using a greater number of patients with an architectural analysis of clear corneal incisions are needed to confirm these preliminary results.

Modern-day enhancements in Enterprise Architectures (EA) has increased the interoperability issues in almost all domains; these issues are increasing day-by-day as organizations are spanning and information is being exchanged between different platforms. Command Control Computer Communication and Intelligence (C4I) complex systems are also facing the interoperability issues due to highly classified and sensitive information being exchanged. In this paper we have discussed the integration of different C4I applications running under heterogeneous platforms by allowing them to communicate using a secure and ciphered web based middleware named as Web Middleware (WMW). This middleware is a client-server based web adaptor to achieve clean, systematic, secure and reliable communication. The main feature among many is the simple HTTP browser based customization that do not require any specific or special add-ons and controls to be installed on the client machine. Architecture usage, and initialization of the WMW middleware is discussed with security and performance discussion.

Throughout global efforts to defend against the spread of COVID-19 from late 2019 up until now, one of the most crucial factors that has helped combat the pandemic is the development of various screening methods to detect the presence of COVID-19 as conveniently and accurately as possible. One of such methods is the utilization of chest X-Rays (CXRs) to detect anomalies that are concurrent with a patient infected with COVID-19. While yielding results much faster than the traditional RT-PCR test, CXRs tend to be less accurate. Realizing this issue, in our research, we investigated the applications of computer vision in order to better detect COVID-19 from CXRs. Coupled with an extensive image database of CXRs of healthy patients, patients with non-COVID-19 induced pneumonia, and patients positive with COVID-19, convolutional neural networks (CNNs) prove to possess the ability to easily and accurately identify whether or not a patient is infected with COVID-19 in a matter of seconds. Borrowing and adjusting the architectures of three well-tested CNNs: VGG-16, ResNet50, and MobileNetV2, we performed transfer learning and trained three of our own models, then compared and contrasted their differing precisions, accuracies, and efficiencies in correctly labeling patients with and without COVID-19. In the end, all of our models were able to accurately categorize at least 94% of the CXRs, with some performing better than the others; these differences in performance were largely due to the contrasting architectures each of our models borrowed from the three respective CNNs.

The SARS-CoV-2 (COVID-19) pandemic outbreak has led to some lockdowns and changed human mobility and lifestyle in this country. Mashhad, one of the most polluted cities in Iran has experienced critical air pollution conditions in recent years. In the present study, the potential relationships between air quality conditions (such as popular index and criteria air pollutant concentration) and COVID-19 cases and deaths were investigated in Mashhad, Iran. To do that, the Long Short-Term Memory (LSTM) based hybrid deep learning architecture was implemented on AQI, meteorological data (such as temperature, sea level pressure, dew points, and wind speed), traffic index and impact number of death, and active cases COVID-19 from March 2019 to March 2022 in Mashhad. The results reveal the LSTM model could predict the AQI accurately. The lower error between the real and predicted AQI, including MSE, MSLE, and MAE is 0.0153, 0.0058, and 0.1043, respectively. Also, the cosine similarity between predicted AQI and real amounts of it is 1. Moreover, in the first peak of the pandemic (Aug 2021), we have the minimum amount of AQI. Meanwhile, by increasing the number of active cases and death and by starting lockdown, because the traffic is decreased, the air quality is good and the amount of AQI related to PM2.5 is 54.68. Furthermore, the decrease the active cases and death in pandemic causes a significant increase in AQI, which is 123.52 in Nov 2021, due to a decline in lockdowns, resumption of human activities, and probable temperature inversions. 

There is an urgent need for predictive preclinical models to enhance the success rate of clinical trial outcomes. One of the main reasons for drug attrition is the lack of translational models, methods using human cells are particularly in the spotlight of regulatory bodies as they offer an alternative to in vivo studies and have the potential to improve the translational of preclinical trials. Organs-on-Chips (OoCs) are sensible candidates to reduce the cost and the ethical burden of animal models while accelerating and de-risking drug development. The innovation of such systems is based on both the increased relevance of the cells used and the ability to build precise, yet physiologically relevant, complex architectures. The use of microfluidic technologies with human induced pluripotent stem cells (hiPSCs) opens new routes to create relevant in vitro approaches as they will soon be able to reproduce clinical characteristics of donors or specific populations. The adoption of OoC models by pharmaceutical industries, and in fine by regulatory agencies, still requires: (i) establishing standardized, reproducible, robust, and replicable cell culture protocols with specific validation and characterization criteria, (ii) evidence that the technology predicts human responses, thus allowing to contribute efficiently and reliably to clinical trials success of novel therapeutics, and (iii) evidence that the models refine and reduce animal testing without compromising with the quality and the pertinence of the data generated.

Objective: The study evaluated the hyperglycaemia-lowering effects, safety, and phytochemical profile of Celtis zenkeri leaf extract in order to justify its antidiabetic folkloric usage. Methods:  Modified OECD test guidelines were used to assess its acute and sub-acute toxicity while its effect on blood parameters such as blood glucose, and haematological and biochemical levels were evaluated using appropriate assays. Both in vitro and in vivo antihyperglycaemic assays were used for the antidiabetic studies while histology of the pancreas, liver, and kidney of the rats was examined after treatment with the extract at 250, 500, and 1000 mg/kg for 21 days.  GC-MS analysis was used to determine the chemical constituents of the extract. Results: The results obtained showed that the leaf extract of C. zenkeri was not toxic in rats at 5000 mg/kg. It elicited a significant decrease in the blood glucose levels of the animals but did not affect the haematological and biochemical components of normal rats. It significantly inhibited α-amylase and α-glucosidase actions and gave comparable activity to glibenclamide (5 mg/kg) at all time points at 200 and 400 mg/kg. The extract comparably reduced blood glucose levels with glibenclamide at 100 and 200 mg/kg on days 10 and 14 in drug-induced diabetic rats and maintained the histoarchitecture of the liver, kidney, and pancreas at 250 and 500 mg/kg.Conclusion: The study justified the ethnomedicinal use of C. zenkeri in diabetes management.

The research creates a theoretical basis for examining the metamorphic changes and transformations in urban and housing planning with the interaction created by the latest epidemic in the world, which is moving towards a period related to climate problems. The first quarter of the 21st century witnessed an unexpected event: Humanity found itself in the middle of a pandemic considered temporary, it would be permanent and change the world dramatically. The post-COVID-19 period has led to significant and permanent changes in our lives, from urban planning to housing typologies. The study aims to understand the changing dynamics in the post-pandemic period that converges on the same goal with SDG, (Sustainable Development Goals), as continuity by updated dialogues, and discourses on literature. This research focuses on the SDG, (Sustainable Development Goals), and the post-pandemic period, analysis of two phenomena separated, analogous paradigms or intertwined. The findings of the public perception are there is a distinction between sustainability and pandemics considered dissimilar processes, they contain similarities. Contrary to common ideas, the pandemic was a catalyst for sustainability, and these two concepts contain analogous ideas and principles. In conclusion, it is revealed that they both concentrated on similar ideas; SDG, (Sustainable Development Goals) is “health”, and pandemic is the “healthy city” concept like; clean air, zero carbon, living healthy and safely in airy and green areas, etc.

Pollinators are very critical when it comes to the reproductive success of plants. They promote outbreeding which holds immense significance in the era of global climate change. It allows the plants to become fertilized, to produce seeds, fruits, and eventually new plants. They are instrumental in the sustainability of our ecosystem. Thus, there is an essential need to study these pollinators to understand how, during the course of evolution, they have co-evolved with the flowering plants to shape floral architecture and community dynamics thriving in the vicinity. In this mini-view, we shall focus our discussion on some of the animal pollinators, the dwindling diversity of animal pollinators, and various associated pollination syndromes.

The mainstays of nuclear substance radiation and isotopic synthesis are nuclear-powered power plants, however effective safety evaluation is made tougher by the complicated construction topologies and physical connection effects. This work proposes a multiphysics-linked technique for evaluating both the kinetic and steady-state behaviors of the MPRR and LVR-15 laboratory reactors. To represent complicated member geometries, homogenized assembling sections are generated using two-dimensional whole-core computational simulations. It is discovered that the steady-state findings and the so-called Monte Carl solution comparisons correspond quite nicely. The greatest assemble power mistakes for LVR-15 and MPRR are 6.49%/10%, and the highest command rod value mistakes are 31 pcm/136 pcm, and the mistakes are 377 pcm/383 pcm, accordingly. Meanwhile, the study is done on transitory procedures, such as reactivity-initiated disasters and exposed loss-of-flow mishaps. Both units' modeling findings show plausible adverse feedback events. Furthermore, it is shown that the two reactors' accident-related behaviors are comparable though having different core architectures since they employ the exact same kinds of water as a fluid. The technique for studying nuclear power plant kinetics known as Multi-Physics Simulation (MPM) is explained. Drawing on many research and verification efforts conducted at Politecnico di Milan, Italy, MPM is shown to be a valuable instrument for managing reactors' security and oversight. It may be viewed as a holistic analytical tool that is implemented during the reactor architecture design phase. The capacity to concurrently answer the interrelated equations that control the many physical processes taking place in a nuclear plant inside the same simulated setting is a core characteristic of MPM.

The spleen plays a pivotal role in our immune system by facilitating the proliferation and differentiation of lymphocytes and monocytes. Typically located in the left upper quadrant retroperitoneally, splenic tissue found outside of its usual position is termed ectopic spleen. When the tissue maintains its histological architecture and encapsulation and receives blood supply from splanchnic vessels, it is called an accessory spleen. Although it commonly presents near the splenic hilum or pancreatic tail, rare instances have been reported in the gastric, liver, gastrosplenic/lienorenal ligaments, as well as thoracic and gonadal regions. However, the case of an accessory spleen, mimicking a hepatic lesion in the right diaphragm represents a novel observation.

A significant obstacle to agricultural productivity that jeopardizes the availability of food is crop diseases and farmer livelihoods by reducing crop yields. Traditional visual assessment methods for disease diagnosis are effective but complex, often requiring expert observers. Recent advancements in deep learning indicate the potential for increasing accuracy and automating disease identification. Developing accessible diagnostic tools, such as web applications leveraging CNNs, can provide farmers with efficient and accurate disease identification, especially in regions with limited access to advanced diagnostic technologies. The main goal is to develop a productive system that can recognize tomato plant diseases. The model was trained on a collection of images of healthy and damaged tomato leaves from PlantVillage using transfer learning techniques. The images from the dataset were cleansed by resizing them from 256 × 256 to 224 × 224 to match the dimensions used in pre-trained models using min-max normalization. An evaluation of VGG16, VGG19, and DenseNet121 models based on performance accuracy and loss value for 7 categories of tomatoes guided the selection of the most effective model for practical application. VGG16 achieved 84.54% accuracy, VGG19 achieved 84.62%, and DenseNet121 achieved 98.28%, making DenseNet121 the chosen model due to its highest performance accuracy. The web application development based on the DenseNet121 architecture was integrated using the Django web framework, which is built on Python. This enables real-time disease diagnosis for uploaded images of tomato leaves. The proposed system allows early detection and diagnosis of tomato plant diseases, helping to mitigate crop losses. This supports sustainable farming practices and increases agricultural productivity.

Background: The amygdala is a core structure in the mammalian brain that processes emotion and memory. Its complex neuronal composition and intricate microcircuit mechanisms play key roles in behaviors such as fear, anxiety, and reward. The diversity of neuronal types and the dynamics of these microcircuits provide the neural foundation for the encoding and extinction of fear memories.Aim: This is a retrospective review article summarizing recent research on the amygdala and fear behavior in mice, which is of significant importance in helping people to comprehensively understand and recognize that the amygdala is the core regulator of fear behavior.Methodology: An extensive and systematic search of electronic databases (Medline, PubMed, Web of Science) using keywords related to the amygdala and the technologies involved in the study such as “mouse amygdala,” “basolateral amygdala (BLA),” “central amygdala (CeA),” “fear extinction,” “fear learning,” and “microcircuits.” Articles meeting the selection criteria were included as candidate references.Results: By integrating recent findings from optogenetics, chemogenetics, and single-cell sequencing, this review reveals the interactions between glutamatergic projection neurons and GABAergic interneurons in the amygdala, the functional division between subnuclei, and the neural basis of cross-brain area coordination. Additionally, it discusses the technical challenges in amygdala research and future directions, providing theoretical support for understanding the pathophysiology of emotional disorders.Conclusion: The amygdala is intimately linked to emotional health, playing a critical role in understanding the mechanisms underlying the development of psychiatric disorders such as anxiety, depression, addiction, and post-traumatic stress disorder (PTSD). Despite advances in methodologies such as in vivo calcium imaging, neural circuit tracing, and electrophysiological techniques, which are progressively uncovering the underlying mechanisms of amygdalar regulation of emotional behaviors, the intrinsic microcircuitry of the amygdala remains highly complex. Significant gaps persist, necessitating further exploration and refinement to elucidate unresolved aspects of its functional architecture and behavioral modulation.