Miracle-dz/UniFAR-FTUs huggingface dataset:
The Development of Novel Drug Treatments for Stroke Patients: A Review

Acute ischemic stroke is a critical condition that can result in disability and death. The consequences of this medical condition depend on various factors, including the size of the stroke, affected brain region, treatment onset, and the type of treatment. The primary objective of stroke treatment is to restart ischemic penumbra tissue perfusion and reduce infarct volume by sustaining blood flow. Recent research on the condition’s pathological pathways and processes has significantly improved treatment options beyond restoring perfusion. Many studies have concentrated on limiting injury severity via the manipulation of molecular mechanisms of ischemia, particularly in animal research. This article reviews completed and ongoing research on the development of acute ischemic stroke drugs. This study focuses on three main categories of antithrombotic drugs, thrombolytic drugs, and neuroprotective agents. The paper outlines findings from animal and clinical trials and explores the working mechanisms of these drugs.
Integrating I-DEVS and schedulability methods for analyzing real-time systems constraints

The design of embedded real-time systems (RTS) is challenging due to the criticality of the timing constraints of these systems. Various informal and formal methods for RTS design have been proposed, both in the design space and the real-time execution at the hardware level, but many of these methods are not effective when the complexity of the system scales up. Here, we discuss a new method to integrate a modeling (and simulation) formalism that allows designing complex systems specifications for real-time constraints called Imprecise-DEVS (I-DEVS), and the mapping of such high-level models into a real-time task model. This method allows analyzing real-time constraints both at the high level of modeling as well as the low level of the tasks executed by the processing units and the Operating System. A new method to study the schedulability of the task models is proposed. The method provides a design analysis space from the model level, up to the individual tasks, with a focus on the schedulability of real-time constraints under transient overloading conditions.
Feeding native rumen microbial supplements increases energy-corrected milk production and feed efficiency by Holstein cows

Graphical Abstract Summary: This study tested the effect of 2 microbial feed supplements consisting of microorganisms sourced from the rumen on production of Holstein dairy cows. Supplementation improved energy-corrected milk production, and the response to the 4-microbe supplement was greater than the 2-microbe supplement. Greater production improvements occurred in cows that started receiving microbes earlier in lactation, especially in the group receiving the 4-microbe supplement.
Environmentally Responsible Business Approaches in Azerbaijan

In the study; the eco-entrepreneurship and environmental sensitivity of companies operating in Azerbaijan were examined within the scope of environmental practices. For this purpose, companies operating in the country were invited to participate in a survey, and their sensitivity to the environment was examined from four main dimensions—consumption, production, financial, and technology. The mentioned dimensions were analyzed according to four aspects; namely, business field of activity, business size, operating year, and the level of implementation of environmentally friendly policies. According to the results of a one-way analysis of variance, carried out by field of activity, operating year, and the level of implementation of eco-friendly policy; it was found that there was no group that significantly differed from the overall group mean. A difference was found only in terms of the size of the enterprise. The study found that large businesses were more aware of environmental sensitivity than small- and medium-sized businesses.
Application of RTK GPS positioning technology in road test

Real Time Kinematic(RTK),based on the use of carrier phase measurements of GPS,is a high-precise posi-tioning technology.The positioning accuracy achieves centimeters.It was successfully applied in automatic test system for testing a person′s ability to drive a vehicle and solved the problems of dynamic distance measuring.And in the paper,the algorithm used to measure distance between cars and between cars and road surface markings was introduced.The typical application of the system in the driving test subjects and some precautions in the application were proposed as well.
Gene co-expression analysis and Network biology studies in Indian population reveals functional similarities between Gastric cancer and other metabolic disorders

Objective: Gastric cancer (GC) is a multifactorial disease and known to have been associated with metabolic disorders. Gene expression profiling among various GC populations will help to strategize diagnosis and treatment. The current study employed microarray data analysis (MDA) and network biology methods to understand the significant genes in a GC Indian population and its association with other metabolic disorders. Materials and Methods: The microarray datasets of GC Indian population (Bangalore) was retrieved from Gene Expression Omnibus (GEO), normalized and analyzed using GeneSpring. With the fold change of ± 1.5, the differentially expressed genes (DEG) were identified. An interactome was built to study interactions and generate gene clusters. Statistical (centrality) parameters were applied to identify highly connected clusters followed by functional enrichment to identify significant pathways associated with the GC genes. Results and Discussion: MDA identified 7181 DEGs (3984 up regulated genes and 3197 down regulated) and the interactome yielded 16552 interactions and two sub clusters. Cluster 1 was found to be statistically fit. The functional characteristics of the significant genes in this cluster revealed their association with adrenal cortex hormone insufficiency, thyroid disorders and deficiencies in kidney water resorption. Conclusion: It is inferred from our study that, deficiency in Thyroid, Adrenal hormones and Antidiuretic hormone (ADH) functions has fair share in the prognosis and pathogenesis of GC Indian population. Henceforth, GC should not be viewed as separate entity in the series of cancers and gene expression profiling will help in improvising personalized medicine. Bangladesh Journal of Medical Science Vol. 21 No. 03 July’22 Page: 688-693
Desfechos negativos em saúde mental de minorias de sexo e de gênero: uma análise comportamental a partir da teoria do estresse de minorias

Resumo: A teoria do estresse de minorias se propõe a explicar os prejuízos de saúde de grupos minoritários de sexo e de gênero que são expostas a estruturas sociais estigmatizantes a partir de três processos: estigma imposto, homonegatividade internalizada e ocultação da identidade sexual. A literatura brasileira mostra que essas minorias têm mais problemas de saúde mental quando comparadas com pessoas cisgêneras heterossexuais, corroborando estudos internacionais. Este artigo tem como objetivo analisar o impacto do estresse social na saúde mental de minorias de sexo e de gênero a partir de uma compreensão comportamental da teoria do estresse de minorias, com vistas a subsidiar o desenvolvimento de políticas públicas e tecnologias de intervenção para esta população. Há poucos estudos com o referencial da análise do comportamento que exploram essa definição. O estudo de modelos experimentais como o de supressão condicionada, estado motivacional defensivo e estrese crônico moderado descrevem processos comportamentais relevantes para a compreensão do efeito dos estressores ambientais sobre os desfechos negativos na saúde mental dessa população. Os modelos teóricos que descrevem os processos de punição/fuga-esquiva, ambiente invalidante, esquiva experiencial, desenvolvimento de self instável ou inseguro, por sua vez, permitem uma interpretação analítico-comportamental de alguns processos comportamentais que constituem a subjetividade e o sofrimento psicológico do indivíduo LGBT+, bem como seus mecanismos de enfrentamento aos estressores ambientais e seus efeitos imediatos e atrasados. Tais modelos e conceitos permitem levantar variáveis relevantes e fomentar políticas públicas para o desenvolvimento de protocolos de intervenção no âmbito da análise do comportamento aplicada.
Validation of a subject specific canine hind limb model with emphasis on an anatomical stifle

The objective of this study was to validate a subject specific multibody limb level model of a canine hind limb and incorporate joint level modeling techniques to include an anatomically correct stifle. Experimental testing was done in vitro on a canine hind limb using a bi-axial tester to move the limb through loading profiles and Optotrak system to collect the kinematics of the hind limb for these profiles. A model was built using bone geometries created from MRIs post processed using a polygon smoothing software and scaled parameters for connective tissues and joints. Two profiles were selected for modeling and comparison with the experimental kinematics; a loading approximating a squat and varus/valgus rotation originating at the hip. The model provides an acceptable approximation of hind limb kinematics validating the modeling
Practical application of learning classifier system for downcoiler decision support in steel hot strip mill

The aim of this project is to improve the quality and consistency of coiling in a hot strip mill at British Steel Strip Products' integrated works. The artificial intelligence technique of learning classifier systems (LCSs) is proposed for the processing of plant data. The stochastic computational technique of LCSs will produce offline rules to aid operator and engineering decision making. These rules link the plant inputs (plant condition, strip properties, and associated variables) to coil outputs (presentation -including telescoping and pinching) in a form that is capable of being verified and validated. This is central to the initial operation, where online data will produce offline rules that are critically evaluated by a human operator before implementation. Improvements to a basic LCS that allow operation on industrial data are detailed. Initial experimental results show that the technique of LCSs has the potential to become a very useful tool for processing industrial data. Improvements in availability, coil presentation, and ultimately customer satisfaction will result in a cost benefit to British Steel plc.
Consumers’ perception of the warmth and competence of design-imitating companies

ABSTRACT The incidence of unethical conduct, whereby large companies imitate small companies’ product designs, is increasing. This study examined the way in which market leadership affected perceived warmth and competence with respect to design-imitating companies and investigated the relationships between these perceptions and consumer attitudes and behaviour. The results showed that reductions in perceived warmth and competence were significantly greater when market-leading companies copied small companies’ designs than they were when small companies copied leader’s designs. Attitudes towards the design-imitating company mediated the relationship between perceived warmth and competence and intention to purchase the imitation product. Consumers’ ethical consciousness moderated the relationship between their psychological perception and attitudes towards imitators. The results advanced understanding of the impact of design imitation by considering companies’ market leadership and introducing the concepts of perceived warmth and competence to clarify psychological reasons for purchasing imitation products.
Forecast of Ground Deformation Caused by Tunnel Excavation Based on Intelligent Neural Network Model

With the development of science and technology, the demand for traffic has increased, and the requirements for tunnel excavation have become more and more stringent. Tunnel excavation is an important traffic construction engineering technology. Due to the influence of many factors in the excavation process, surface settlement or deformation will inevitably occur, so its deformation must be predicted in real time to prevent safety accidents and property losses. The previous numerical methods and neural network methods cannot accurately predict in real time, and the intelligent neural network model can more accurately predict the deformation of the ground because of the characteristics of adaptive organizational learning according to different situations and different environments. This article aims to study and design an intelligent neural network model to predict and calculate the amount of ground deformation caused by the tunnel excavation process. An intelligent neural network model with more accurate prediction is proposed, and simulation experiments are carried out on tunnel excavation of different terrains, and the accuracy of the model for predicting the deformation amount is calculated. The experimental results show that the prediction error range of the model is 10 times smaller than that of the traditional neural network. The prediction accuracy of this model is above 95%, and the volatility rate of prediction accuracy is lower than 11%, while the volatility rate of traditional prediction accuracy is even more than 365%. The intelligent neural network model can effectively predict the deformation of tunnel excavation.
Time Estimation of Polymer Translocation through Nano-Membrane

In this paper, the charged polymer escapement phenomenon, via a little hole of nano-metric dimensions arranged in a constitutive biological membrane, is studied. We will present the case of the transport process of an ideal polymer in a 3-dimensional extended region separated by a fine boundary named membrane in a free energy barrier attendance. Additionally, the general translocation time formula, respectively, the transition time from the cis area to the trans area, is presented. The model for estimation of the likelihood, designated by P(x, t), as a macromolecular chain of lengthiness equal to x, to be able to pass by the nanopore in escape period t, was optimized. The longest-lasting likely escape time found with this model is indicated to be tp = 330 μs. Thus, the results obtained with the described formula are in good agreement with those announced in the specialized literature.
Multi beam scanning programmable metasurface using miniaturized unit cells for 5G applications

This paper proposes a programmable reflective metasurface with a miniaturized unit cell that actively controls the scattered waves for achieving steerable multibeam radiation in sub-6 GHz 5G communication systems. The design uses array theory to provide the required phase shifts for various multibeam radiation patterns. The reconfigurability of the metasurface phase profile is attained by voltage-controlled varactor diodes embedded in the structure. Then, different unit cell arrangements are employed to achieve multibeam functionality where Pianoboard and Chessboard configurations provide one and two-dimensional multi beams, respectively. It turns out steerable multibeam radiation is achieved by dynamically change the dimension of the super unit cells. The reliability of the results is verified through analytical and numerical approaches. Moreover, the comparisons show that the proposed unit cell has more miniaturized size rather than the conventional cells, resulting in a better approximation for the ideally continuous phase profile identified by the generalized Snell’s law.
Technical Note: Inexpensive rain gaugesconstructedfrom recyclable 2-liter plastic soft drink bottles

A large number of inexpensive rain gauges were required for a study currently being conducted in the Black Hills of South Dakota. A gauge utilizing discarded 24iter plastic soft drink bottles was designed and constructed at very low cost. Assembly took less than 5 minutes per gauge and required minimal equipment. The gauges have been in use for 1 growing season and have provided accurate, reliable data. Intensive rainfall measurements were required during a study of overstory-understory interactions in relation to soil moisture in the Black Hills of South Dakota. The study required 88 sampling stations under varying ponderosa pine (Pinus ponderosa Laws.) canopy densities. Rainfall was to be measured weekly, or more frequently if heavy precipitation events were encountered. Project budget limitations dictated the need for an inexpensive precipitation gauge. Standard, “Forest Service type” rain gauges (18.4 cm diameter X 25.4 cm height), cost approximately $170.00 each (Ben Meadows Company). Randomness of precipitation throughfall under pine canopy ruled-out the use of the “homeowner” type gauges, usually made of plastic and having a much smaller orifice. These types can cost from about S3 to nearly $30 each. A gauge assembly similar to that described by Ohlenbush (1972) was considered, but appeared to be expensive and difficult to construct. Thus, the high cost associated with purchasing a large number of commercially available gauges necessitated the development of an inexpensive, yet effective gauge.
Soft Iontronic Capacitive Sensor for Beat‐to‐Beat Blood Pressure Measurements

Continuous beat‐to‐beat blood pressure (BP) monitoring provides hemodynamic information such as BP changes and waveforms over time, providing abundant information to more accurately diagnose a person's cardiovascular health compared to static cuff‐based measurements. To overcome the shortcomings of current techniques, a highly sensitive (S = 108.52 kPa−1 for 0–5 kPa range) soft capacitive sensor that can be worn like a Band‐Aid is developed such that continuous beat‐to‐beat BP monitoring can be sustainably achieved after an initial calibration. The sensor leverages iontronic material with air gaps for the dielectric combined with highly wrinkled, stretchable electrodes; the resulting average sensitivity of this device is demonstrated to be higher than that of other comparable sensors in literature. For the hemodynamic capture, the operating frequency of 300 kHz is chosen to achieve higher temporal resolution in continuous BP monitoring. Further, the multi‐island design in this work allows for rapid placement of the sensor without needing to accurately align with the underlying artery. Because of the improved sensitivity, the sensors can be adhered to the pulse points without an applanator. Finally, this sensor demonstrates sustained beat‐to‐beat blood pressure recordings that show excellent systolic, diastolic, and mean arterial pressure correlation with an FDA‐cleared device, the Caretaker.
GENETIC DIVERGENCE ANALYSIS AMONG 56 BREAD WHEAT GENOTYPES

Genetic diversity analysis could be used to identify those genotypes, which are useful not only for sampling in subsequent studies but also for parental selection in breeding programs. To test these applications in bread wheat ( Triticum aestivum L.), relationships among 56 wheat genotypes were measured using cluster analysis of earliness components and grain yield characters. Entries were planted in replicated field trails in three sowing dates i.e. 1Oct. ,29 Oct. and 26 Nov. Data were obtained for days to heading, days to maturity, grain filling period, grain filling rate and grain yield in 2003/2004 season at Sakha Agric. Res. Station. The genetic divergence among genotypes on Euclidean distance revealed some sort of dissimilarities between genotypes for earliness, plant height and grain yield characters. Grain filling rate and days to heading were the most important source of variation among genotypes. At 75 Euclidean distances, the 56 genotypes were distributed in three different clusters. At a similarity lower than 50 Euclidean distance, the 56 genotypes were distributed in six different clusters. Moreover, at 25 Euclidean distance, the studied genotypes divided into 13 clusters, while, entry 15 formed a single cell cluster. Clustering method was effective in detecting the yielding and earlier clusters, which have almost similar genotypes in such attributes. The selected clusters based on clustering pattern at 25 Euclidean distance appeared to be more accurate than those at 50 Euclidean distance.
THE USE OF ANTIBIOTIC, PROBIOTICS OR PREBIOTIC AS GROWTH PROMOTERS IN BROILER DIETS AND ITS EFFECTS ON PERFORMANCE AND IMMUNE RESPONSE IN COMMERCIAL SCALE PRODUCTION.

An experiment was carried out to study the effect of using antibiotic, probiotics or prebiotic, as growth promoters, in broiler diets, on their performance and immune response under commercial scale production. A total number of 18000 one-day-old broiler chicks were divided into 12 experimental groups of 1500 birds each. All birds groups were randomly distributed into 6 experimental treatments (T 1 , T 2 , T 3 , T 4 , T 5 and T 6 ) where each treatment had 2 replicate groups. Six experimental diets were formulated to contain about 21.5% CP and 2960 Kcal.ME/Kg diet, during the 1 st four weeks of age (starter / grower period) and 17.9% CP and 3000 Kcal.ME/Kg diet, during the finisher period (29-42 days of age). Control treatment groups (T 1 ) fed diets without any supplement, while treatment groups T 2 , T 3 , T 4 , T 5 and T 6 fed the control diets supplemented with antibiotic growth promoter (AGP), probiotic (P 1 ), probiotic (P 2 ), probiotic (P 3 ), and prebiotic, commercial products, respectively . No significant differences (P>0.05) were detected between treatments neither during the starter/grower period nor allover the experimental period that for body weight , feed consumption, feed conversion ratio, performance index and carcass characteristics. The results of immune response indicated that some feed additives (prebiotic and probiotic) gave a promising effect on immune response against disease regardless to its effect on feed conversion. of probiotics or prebiotic, as alternative growth promoters, have no negative effects on their performance or immune response and may be comparable with antibiotic growth promoters (AGPs). It could be suggested also, that under commercial poultry production conditions, some of the existence many variable factors have not always been successfully controlled , however, further researches may have been needed.
Linear Theory on Oscillator Phase Noise (invited) -Q Factor to Characterize Frequency Spectrum-

This paper presents how to calculate the circuit Q factor being useful for high-performance oscillator design. Starting with a simple negative-resistance diode oscillator, we extend the formulas to field-effect transistor oscillators. The logarithmic impedance versus frequency helps us to get a graphical insight into the Q factor's behavior. The Q factor keeps invariant against scaling, inverse, and conjugation of the circuit impedance. Keyword Impedance matrix, logarithmic arithmetic, oscillators, phase noise, Q factor, spectrum.