Miracle-dz/UniFAR-FTUs huggingface dataset:
Nanocurcumin Improves Lipid Status, Oxidative Stress, and Function of the Liver in Aluminium Phosphide-Induced Toxicity: Cellular and Molecular Mechanisms

Background The present study aimed to evaluate the effect of nanocurcumin and curcumin on liver transaminases, lipid profile, oxidant and antioxidant system, and pathophysiological changes in aluminium phosphide (ALP) induced hepatoxicity. Material and Methods. In this experimental study, thirty-six male Wistar rats were randomly divided into six groups curcumin (Cur), nanocurcumin (Nanocur), ALP, ALP+Cur, and ALP+Nanocur. All treatments were performed by oral gavage for seven days. After treatment, animals were sacrificed, and liver and blood samples were taken. Serum levels of aspartate aminotransferase (AST), alanine transaminase (ALT), alkaline phosphatase (AP), total bilirubin, cholesterol, triglyceride, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and very-low-density lipoprotein (VLDL) were measured by photometric methods. Total antioxidant capacity (TAC) and malondialdehyde (MDA) as parameters of oxidative stress and mRNA expression of the nonenzyme protein including Sirtuin 1 (STR1), Forkhead box protein O1 (FOXO1) and protein O3 (FOXO3), catalase (CAT), and glutathione peroxidase (GPX) as the enzyme protein in homogenized tissues have been investigated. A histologist analyzed liver tissue sections after staining with hematoxylin-eosin. Results In the aluminium phosphide group, there was a significant increase in MDA, ALT, AST, and AP and total bilirubin, cholesterol, triglyceride, LDL, and VLDL; AST, ALT, total bilirubin, LDL, VLDL, cholesterol, and MDA were significantly decreased; and HDL and TAC were significantly increased compared to ALP (P < 0.05). In the ALP+Nanocur group, ALT, AST, ALP, total bilirubin, cholesterol, LDL, VLDL, triglyceride, and MDA were significantly decreased and HDL and TAC were increased significantly (P < 0.05). The effect of nanocurcumin on controlling serum levels of LDL, VLDL, triglyceride, and MDA in ALP-poisoned rats was significantly more than curcumin (P < 0.05). The ALP group had significant changes in genes SIRT1, FOXO1a, FOXO3a, CAT, and GPX compared to healthy controls (P < 0.05). Nanocurcumin mice expressed more SIRT1, FOXO1a, CAT, and GPX genes than controls, and curcumin-treated mice expressed more SIRT1 and FOXO1a genes (P < 0.05). Histopathological findings also indicated a more significant protective effect of nanocurcumin relative to curcumin against ALP-induced hepatotoxicity. Conclusion Nanocurcumin significantly protects the liver against aluminum phosphide toxicity. It is suggested that nanocurcumin-based drugs be developed to reduce the toxic effects of ALP in poisoned patients.
Thermodynamics and luminosities of rainbow black holes

Doubly special relativity (DSR) is an effective model for encoding quantum gravity in flat spacetime. As result of the nonlinearity of the Lorentz transformation, the energy-momentum dispersion relation is modified. One simple way to import DSR to curved spacetime is ``Gravity's rainbow'', where the spacetime background felt by a test particle would depend on its energy. Focusing on the ``Amelino-Camelia dispersion relation'' which is E2 = m2+p2[1−η(E/mp)n] with n > 0, we investigate the thermodynamical properties of a Schwarzschild black hole and a static uncharged black string for all possible values of η and n in the framework of rainbow gravity. It shows that there are non-vanishing minimum masses for these two black holes in the cases with η < 0 and n ⩾ 2. Considering effects of rainbow gravity on both the Hawking temperature and radius of the event horizon, we use the geometric optics approximation to compute luminosities of a 2D black hole, a Schwarzschild one and a static uncharged black string. It is found that the luminosities can be significantly suppressed or boosted depending on the values of η and n.
TRANS-Net: Transformer-Enhanced Residual-Error AlterNative Suppression Network for MRI Reconstruction

Since deep priors could exploit more intrinsic features than handcrafted prior knowledge, unrolled reconstruction methods significantly improve image quality for fast magnetic resonance imaging (MRI) reconstruction with the combination of iterative optimization and deep neural network-based regularization terms. One popular way for unrolled methods is to employ the regularization penalty on the reconstructed result within the image space. Dissimilarly, in this article, we innovatively propose a reconstruction framework termed Transformer-enhanced Residual-error AlterNative Suppression Network (TRANS-Net) for MRI reconstruction to extend the unrolled methods. Unlike some existing model-based algorithms, TRANS-Net additionally deploys the regularization term on the error maps in the residual image domain, which greatly emphasizes the high-frequency information contained in the MR images. Besides, to further explore the global spatial correlation of the reconstructed image, the transformer module is adopted to enlarge the receptive field of deep priors regularized on the reconstructed images for better tissue recovery. The quantitative and qualitative results show that the proposed TRANS-Net method has superior performance to the state-of-the-art reconstruction algorithms in anatomical structure restoration and perceptual detail preservation.
Tropical journal of Pharmaceutical and Life Sciences FLOATING MICROSPHERE AS GASTRO RETENTIVE DRUG DELIVERY SYSTEM: AN UPDATED REVIEW

Floating drug delivery system is anticipated to float in long lasting way when come in contact with the gastric contents and subsequently to improve the drugs bioavailability. The different floating formulations which include powders, tablets, pills, capsules, granules and films are presently under research and development. Floating microspheres (FMs) are particularly getting importance because of their varied applicability for drug targeting to stomach. These gastro retentive FMs are systems having less density have the potential to float and distributed evenly through the entire gastric fluid, lessen the chances of gastric emptying and ensure the drug release for longer period of time. The FMs also enhances the patient compliance by diminishing the frequency of dosage. By employing FMs, significant therapeutic effect could be attained from drugs having short half-life. In this review we will discuss fundamentals of floating microspheres along with recent applications of floating microspheres.
EFFECT OF REFINED WHEAT FLOUR ON FUNCTIONAL, NUTRITIONAL AND SENSORY CHARACTERISTICS OF EXTRUDED RECONSTITUTED SKIM MILK PANEER

The suggested article focuses on the use of skim milk powder in the preparation of reconstituted skim milk paneer as well as the use of the ingredient refined wheat flour, which have been great binding properties in various food products. The findings show that adding refined wheat flour in extruded reconstituted skim milk paneer food has a positive impact on its functional and nutritional qualities as well as sensory characteristics. An attempt was made to expose the effect of refined wheat flour on extruded reconstituted skim milk paneer in this context. At 5, 7.5, 10 and 12.5 per cent refined wheat flour was incorporated. Among these 12.5 per cent level (refined wheat flour) had found significantly ( p =.05) lower in moisture (5.72 %), fat (16.51 %) and protein (43.55 %) than control (7.07, 19.33 and 51.34 %) and higher in carbohydrates contents (32.45 %) when compared to control (19.50 %). The water absorption and oil absorption index were discovered to have a substantial impact on functional properties of extruded paneer. The 10 per cent level of treatment was found significantly ( p =.05) higher in (body and texture 7.46) and overall acceptability (7.46); whereas lower scores was recorded by 12.5 per cent level with 6.24 body & texture and 6.45 overall acceptability score. The significant impact of refined wheat flour on function, nutritional and sensory characteristics of extruded reconstituted skim milk paneer which has been favourable conditions for the production of a new functional product with high great functional value. reconstituted using reconstituted skim milk 5, 7.5, and 12 % by of paneer to the The is through single screw extruder (manufactured by Milk-Tech The motor of 60 rpm with VFD AC drive 1 Hp. The had 0.5 Hp gear motor with 60 The is connected with extruder for cutting the in specific size and diameter which had 1 - 200 rpm of 0.25 Hp with PMDC motor with rpm controller. The hopper is material of 3 mm thick AISI-316 SS. It shall be horizontal open type having transparent lid with a port to add water while kneading. It has stainless steel paddle type mixer to kneed the feed. It have SS screw to extrude the kneaded mass which can be moved clock and counter clock wise direction just by pressing R/F switch is house in barrel. After extrusion it was frying by sunflower oil to obtained ready to eat extruded type food.
TSUNAMI EVACUATION GUIDANCE USING REINFORCEMENT LEARNING ALGORITHM

In previous tsunami disasters it was reported that many residents used vehicles to evacuate from the coast. Consequently traffic congestions delayed evacuation times reducing survival chances in the area. Similarly, when evacuating as pedestrian, safe evacuations can be compromised by overcrowding conditions due to high population concentration, narrow streets and limited space for mobility. Thus, finding the best evacuation route considering less congestion and higher chances to reach safe haven is critical for the evacuation process. We envision a future of smart and autonomous evacuations in a post-information age, where smart cities become fully interconnected and people or vehicles can be intelligently guided in real time with precise information aiming for an optimum behavior and a safe evacuation. With this in mind, we built a model of evacuation with limited evacuee decision-making, however with learning-skilled connections within the network that would guide the flow of evacuees in directions that result best to reduce congestion and increase the chances to survive. One can imagine also smart and interconnected digital tsunami sign boards placed at intersections guiding evacuees accordingly to current congestion conditions in the network. Here we used reinforcement learning to find the best policy (routing) constrained to low density in roads and successful guidance behavior of nodes in the network.
A SYSTEMIC APPROACH TO THE FINANCIAL MANAGEMENT AND RISK CONTROL OF EMPLOYEE BENEFIT FUNDS

The subject of asset/liability modelling has come to the fore in South Africa only recently, and challenges for the actuarial and consultancy communities abound. These challenges exist across a spectrum from the purely technical, to the pure marketing. Technical debate revolves around the construction of investment and simulation models, and interpretation of the outputs. Further challenges arise in combining deterministic output of traditional actuarial methods with the probabilistic output of stochastic methods. At the marketing level, consultants are challenged by methods of communicating and promoting a service that provides benefits in a new and largely intangible form. The purpose of this paper is to provide an insight into the develop ment and application of asset/liability modelling, as it has been applied in the South African context.
THE POLICY (INTENTION -) IMPLEMENTATION GAP IN THE ENVIRONMENT AND PLANNING ACT FOR CITIZEN PARTICIPATION A

In the near future the new environment and planning act (omgevingswet) will be introduced in the Netherlands. One of the fields the new act changes most is citizen participation. Because of the complexity and width of the new act there is a high change for the existence of a gap between the policy intention and the eventual implementation especially within the field of citizen participation. The research focuses on the nature of the policy intention- implementation gap within a municipality in the field of citizen participation. The intention of the act was uncovered by analysing the legal text of the new act. The (planned for) implementation was uncovered by interviews with experts from the municipality. When the nature of the gap was uncovered the reasons for the appearance of the gap were identified. The main research question that has been formulated for this research is as follows: The intended level of citizen participation in the new environmental and planning act is lower than the implemented level of citizen participation in practice. This means that there is a positive gap between the intention and the implementation of the new act. The reasons for this can be found in societal pressure, political pressure, the lack of hard requirements in the new act and the culture of the implementing party. The conclusion for this research project is that there is a gap between the intention and the implementation of the new environment and planning act in the field of citizen participation. The nature of this gap is positive, this means that the implementation is of a higher level than was originally intendent by policymakers. this thesis can be found in the relation between citizen participation and the (built) environment. The higher the level of citizen participation, the more influence citizens can have on their own environment. The research aims to uncover the nature of the gap between the intention and the implementation of citizen participation under the new law. Citizens and academics can potentially use the method described in this thesis to test the implementation of their own local government and hold these accountable. The method can also be used by said local governments themselves to test their implementation of the new act.
ASYMMETRIC VOLATILITY AND LEVERAGE EFFECT IN STOCK MARKET: A BIBLIOMETRIC REVIEW

This paper aims to provide quantitative statistics and a comprehensive review of the key in(cid:135)uential and intellectual structure of asymmetric volatility and leverage e⁄ect in the stock market. This study reviews 271 articles and review papers published in scienti(cid:133)c journals indexed by the Scopus database from 1994 to 2021. VOSviewer and Excel software are used to analyse the collected data and apply the bibliometric tests such as citation analysis of documents, source, authors, institutions and countries, Co-occurrence analysis of author keywords, co-authorship and Bibliographic coupling of authors, source and countries. By analysing the growth in this topic, during the (cid:133)rst 10 years, the publication in this topic was considerably less. After that, until 2020, the growth is remarkable. Further, the study identi(cid:133)es the most in(cid:135)uential and impactful authors, journals, institutions, and countries to asymmetric volatility and leverage e⁄ect in the stock market. To the best of the author(cid:146)s knowledge, this is one of the (cid:133)rst papers to address the literature of asymmetric volatility and leverage e⁄ect in the stock market from a bibliometric aspect. It helps researchers and other academicians to explore and build a quantitative base regarding the scienti(cid:133)c development of asymmetric volatility and leverage e⁄ect in the stock market.
Response of broiler chickens to frequency of dietary inclusion of neem leaf meal

A 5-week feeding trial was conducted to determine the growth performance, nutrient digestibility and carcass characteristics of 180 2-week old broiler chicks of Cobb strain fed diets containing neem ( Azardirachta indica ) leaf meal at different periods. The birds were allotted to 5 dietary treatments with each treatment consisting of 36 birds and were replicated 4 times with 9 birds per replicate. Feed and water were administered ad libitum . Birds in treatment 1 were fed control diet all through the period of experiment, birds in treatment 2 were fed diet containing 0.5 % neem leaf meal, birds in treatment 3 were fed diet containing 0.5% neem leaf meal for 3 d in a wk, birds in treatment 4 were fed diet containing 1% neem leaf meal, birds in treatment 5 were fed diet containing 1% neem leaf meal for 3 d in a wk. The best feed conversion ratio was in the birds in treatment 3 which was similar to the response of birds in treatment 5 at starter phase while only feed intake was significantly (P<0.05) influenced at finisher phase. Results on nutrient digestibility indicated that birds on 0.5% neem leaf meal for 3 d in a wk had better (P<0.05) nutrient utilization than their counterparts in other groups. Carcass characteristics was not significantly (P>0.05) influenced by the treatments. It was concluded that 0.5% neem leaf meal inclusion in the diet of broiler chickens for 3 d in a wk improves performance of broiler chickens.
A Low Power Fault Tolerant Architecture for Digital Systems

The paper unveils a design strategy to counteract the presence of faults in digital systems and uphold their reliability. The proposed work endeavours to develop an augmented version of Triple Modular Redundancy (TMR) to neutralise the effect of faults present in digital systems. The work focuses on developing a reconfigurable TMR based fault tolerant architecture to stand against the incursion of both hard and soft errors. The scheme intends to reduce the power consumption of fault tolerant methodologies with the view to maintain the area overhead remains almost on par with other strategies in use. The built-in fault tolerant ability of the design ensures digital systems to provide true outputs even in the presence of faults. The Modelsim based simulation results obtained for the digital circuit chosen for analysis ascertains the fault tolerant ability of the proposed methodology and the use of Xilinx 9.2i foundation series with an FPGA as the target device ensure its practical feasibility. The results proclaim the sheer merits of the scheme in terms of reduction in power consumption by a factor of 33% than the traditional TMR architecture.
Determinants of Earnings Management of Listed Oil and Gas Firms in Nigeria

: Earnings management has gained global recognition. Yet, it is still not clear what determines earnings management within the context of the oil and gas sector in Nigeria. Therefore, this study examined the determinants of earnings management of listed oil and gas firms in Nigeria. Correlational research design was adopted in order to ascertain the relationship between the identified determinants of earnings management and earnings management. A sample of seven (7) oil and gas firms was seven out of a population of fifteen (15) firms. The study covered a period of six (6) years from 2010 to 2015. Secondary data were gathered from the published annual reports of the selected firms. The data were analysed using multiple regression analysis through Stata. Results from the analysis show that external sector specialization has positive and significant effect on earnings management of listed oil and gas firms while external audit tenure and audit committee gender have negative and significant relationship with earnings management of listed oil and gas firms in Nigeria. However, the study found that there is no significant relationship between external audit fees and earnings management of listed oil and gas firms in Nigeria. Therefore, it was recommended that oil and gas firms should ensure that, after a certain period of time, they change the services of auditors that specialize in auditing the oil and gas sector; the oil and gas firms should be encouraged to utilize the services of auditors with long tenure; and that the oil and gas firms in Nigeria should be encouraged to continue to engage the services of more female audit committee members.
Embedding Koopman Optimal Control in Robot Policy Learning

Embedding an optimization process has been explored for imposing efficient and flexible policy structures. Existing work often build upon nonlinear optimization with explicitly iteration steps, making policy inference prohibitively expensive for online learning and real-time control. Our approach embeds a linear-quadratic-regulator (LQR) formulation with a Koopman representation, thus exhibiting the tractability from a closed-form solution and richness from a non-convex neural network. We use a few auxiliary objectives and reparameterization to enforce optimality conditions of the policy that can be easily integrated to standard gradient-based learning. Our approach is shown to be effective for learning policies rendering an optimality structure and efficient reinforcement learning, including simulated pendulum control, 2D and 3D walking, and manipulation for both rigid and deformable objects. We also demonstrate real world application in a robot pivoting task.
Critical Dynamics of thek-Core Pruning Process

We present the theory of the k-core pruning process (progressive removal of nodes with degree less than k) in uncorrelated random networks. We derive exact equations describing this process and the evolution of the network structure, and solve them numerically and, in the critical regime of the process, analytically. We show that the pruning process exhibits three different behaviors depending on whether the mean degree of the initial network is above, equal to, or below the threshold _c corresponding to the emergence of the giant k-core. We find that above the threshold the network relaxes exponentially to the k-core. The system manifests the phenomenon known as "critical slowing down", as the relaxation time diverges when tends to _c. At the threshold, the dynamics become critical characterized by a power-law relaxation (1/t^2). Below the threshold, a long-lasting transient process (a "plateau" stage) occurs. This transient process ends with a collapse in which the entire network disappears completely. The duration of the process diverges when tends to _c. We show that the critical dynamics of the pruning are determined by branching processes of spreading damage. Clusters of nodes of degree exactly k are the evolving substrate for these branching processes. Our theory completely describes this branching cascade of damage in uncorrelated networks by providing the time dependent distribution function of branching. These theoretical results are supported by our simulations of the $k$-core pruning in Erdos-Renyi graphs.
Indicators in Super Mario Maker 2: Evolution and Rhetorical Signification in Visual Languages

communicatingexpectationstoauserthroughvisualelementsin-stead of natural language can produce a more intuitive interface as users interact with a system. While such visual languages are developed by domain experts for speciﬁc purposes, these languages can also grow, change, and evolve within a community of users in the same manner as natural language. Video games are one area where communication with the user directly aﬀects the enjoyability, usability, and accessibility of the system. While work has been done to create and leverage visual languages in order to gamify learning or improve accessibility, this research focuses on the creation and evolution of these visual languages by external experts. This exploration of a “crowd–sourced” context–aware visual language through the lens of a structural linguistic framework examines a system of indicators that has evolved over time, created by the very users of the language, to communicate the expectations and necessary actions to complete a task with other members of the community. Extending the analysis and design of visual languages to account for linguistic theory aﬀords designers new tools and approaches in their own work, as too often disciplinary experts can be restricted by conventional understanding, “best practices”, and what can be considered a “legitimate” object of study. In this paper, we examine a recent and widely popular visual language of indicators used in the Super Mario Maker games, and show how this use of indicators is central to making a usable text, a playable level, creating a relationship between player and designer that foregrounds the human elements in creating a visual language to assist users in a task. Or, in the case of "Troll" levels, prevent the user from doing so.