In Kant AND the Problem of Metaphysics (KPM), Heidegger shows how the initial image-making power of the imagination is pictorial in the pure image of TIME. He further clarifies the recognized link between the syntheses AND the TIME-visualizing power of images which is pictorial formative power, which can visualize TIME. The three syntheses of imagination are replaced with the modes of existence of Dasein. Three kinds of photographs resemble the images produced when the transcendental imagination functions as Dasein. We can address the ways to visualize TIME by considering Dasein with a photographic preoccupation through 1. A possible look in the form of presentation (a photograph shows an immediate look of a house or person as intuitable this-here); 2. An immediate look of the thing, house, or deceased person, as well as a copy or its reproduction as a death mask; AND, 3. The manner of contemplation of a likeness is an immediate look of a being present in the form of representation.

The effect of NUMBER of mating on longevity AND fecundity of the predatory mite Euseius scutalis Athias-henriot was studied under laboratory conditions (at 25±1 ºC, 60 ± 5 % RH AND 16: 8 L:D). Newly emerged adult females (less than 24 h) were held individually in a 9 cm arena. A male (less than 24 h) remained with a female for limited periods of TIME or continuously. Four treatments were designed: virgin females, single mated females, multiple mated females (female had access to a male every five days), multiple mated females (female had continuous access to a male). Mating was necessary for oviposition. Virgin females lived the longest (25 days). However, no significant differences were found among longevity of mated females (12- 15). Similarly, no significant differences were detected among fecundity of females with different NUMBERs of mating (18- 22 eggs). Sex ratio was significantly female-biased in progeny of single mated females AND multiple mated females with periodic access to male. However, no significant difference was found in sex ratio of progeny of multiple mated females with continuous access to male.

The electrical behavior of neurons can be more complex in the presence of autapse. In the presence of an autaptic connection, the Izhikevich neuron model can show a variety of dynamic behaviors, such as chaotic behavior. This paper presents a novel, high speed AND robust pseudo rANDom NUMBER generator based on the autaptic Izhikevich neuron oscillator AND its FPGA implementation. The autaptic Izhikevich neuron model is simulated AND dynamically analyzed. Then, the proposed pseudo-rANDom NUMBER generator is modeled AND simulated using the Xilinx system generator platform, synthesized using Xilinx Synthesis Tool, AND implemented on the XILINX SPARTAN-6 XC6SLX9 FPGA evaluation board. As a post processing operation, the XOR function is used to increase the rANDomness of the output bit sequences. The FPGA implementation results show that the implementation cost of the proposed pseudo-rANDom NUMBER generator is lower than similar works, AND the proposed generator achieves a maximum frequency of 63.2 MHz. The NIST test suite is used for testing the quality of the generated bit sequences. The NIST test results indicates the high quality of the generated rANDom bit sequence.

Face recognition from digital images is used for surveillance AND authentication in cities, organizations, AND personal devices. Internet of Things (IoT)-powered face recognition systems use multiple sensors AND one or more servers to process data. All sensor data from initial methods was sent to the central server for processing, raising concerns about sensitive data disclosure. The main concern was that all data from all sectors that could contain confidential information was placed in a central server. Federated learning can solve this problem by using several local model training servers for each region AND a central aggregation server to form a global model in IoT networks. This article presents a novel approach to optimize data transfer AND convergence TIME in federated learning for a face recognition task using Non-dominated Sorting Genetic Algorithm II (NSGA II). The aim of the study is to balance the trade-off between training TIME AND model accuracy in a federated learning environment. The results demonstrate the effectiveness of the proposed approach in reducing data transfer AND convergence TIME, leading to improved performance in face recognition accuracy. This research provides insights for researchers AND practitioners to enhance the efficiency of federated learning in real-world applications.

In order to identify the correlations AND relationships between different traits in the bread wheat, 30 genotypes were investigated as sub-factors under the split plot experiment in the completely rANDomized design in greenhouse AND the rANDomized complete block design in the field with three replications under the normal irrigation AND post-anthesis water stress conditions. The results of the canonical correlation analysis showed that at both normal AND moisture stress levels, there was a significant correlation between the pair of canonical variables obtained from the phenological traits AND the yield components. Under the normal conditions in the greenhouse, to increase the spike density AND length, the NUMBER of days to 50% flowering can be considered as a suitable selection criterion. According to the results of canonical correlation analysis, under the stressed conditions in greenhouse, to increase the spike length, the NUMBER of days to the heading, maturity AND 50% of flowering were among the important AND effective factors. Under the optimum irrigation conditions in the field, the NUMBER of days to maturity was considered as one of the factors influencing the seed weight per spike. The results of canonical correlation analysis under the field stress conditions showed that to increase the 1000-seed weight, the NUMBER of days to maturity can be considered an appropriate selection criterion.

In this study, the life history characteristics of Trichogramma euproctidis (Girault), an established egg parasitoid species in southwestern Iran, parasitizing Helicoverpa armigera (Hubner) were examined at 18, 21, 24, 27, 30, AND 33 °C. The results showed that different constant temperatures significantly affected the NUMBER of parasitized eggs, development TIME, sex ratio, tibial length, NUMBER of parasitoids per host egg, progeny longevity, AND fecundity. T. euproctidis failed to complete development at 18 °C, the lowest temperature tested. The mean developmental duration from egg to adult female decreased from 15.33 days at 21 °C to 7.25 days at 33 °C. An average of 188-degree days was required to complete development above the lower threshold temperature (7.2 °C). Survivorship was 96.20, 97.20, 98.33, 85.46, AND 82.22 % at 21, 24, 27, 30, AND 33 °C, respectively. The mean longevity of T. euproctidis ranged from 11.60 days at 21 °C to 4.57 days at 33 °C. Mean total progeny ranged from 19.50 / female at 33 °C to 168.70 / female at 21 °C. Data analysis demonstrated that different constant temperatures had a significant effect on the net reproductive rate (R0), intrinsic rate of increase (r), finite rate of increase (λ), AND generation TIME (T). The intrinsic rate of increase (r) improved with temperature from 0.240/day at 21°C to 0.370/day at 27 °C AND then decreased at higher temperatures. Generation TIME decreased from 16.90 days to 7.53 days with increasing temperature. The optimal temperature for development AND reproduction of T. euproctidis was 27 °C. The results of this study showed that this strain of T. euproctidis appears to have the potential to be utilized in integrated management programs targeting H. armigera.

Efficient distribution of service requests between fog AND cloud nodes considering user mobility AND fog nodes’ overload is an important issue of fog computing. This paper proposes a heuristic method for task placement considering the mobility of users, aiming to serve a higher NUMBER of requested services AND minimize their response TIME. This method introduces a formula to overload prediction based on the entry-exit ratio of users AND the estimated TIME required to perform current requests that are waiting in the queue of a fog node. Then, it provides a solution to avoid the predicted overloading of fog nodes by sending all delay-tolerant requests in the overloaded fog node’s queue to the cloud to reduce the TIME required for servicing delay-sensitive requests AND to increase their acceptance rate. In addition, to prevent requests from being rejected when the mobile user leaves the coverage area of the current fog node, the requests in the current fog node’s queue will be transferred to the destination fog node. Simulation results indicate that the proposed method is effective in avoiding the overloading of the fog nodes AND outperforms the existing methods in terms of response TIME AND acceptance rate.

Recognition AND understANDing the genetic control of traits, combining ability AND genetic structure are directly related to the success of breeding programs. For this purpose, a 7 × 7 one-way diallel design was conducted in a rANDomized complete block design with three replications. The measured traits were included plant height, height to the first capsule, NUMBER of days to 50% AND 90% of flowering, NUMBER of capsules per plant, NUMBER of seeds per capsule, NUMBER of days to physiological ripening, NUMBER of branches, leaves NUMBER AND length, 1000-seeds weight, capsule weight, length AND width, chlorophyll a, b AND total chlorophyll, biological ANDeconomic yields, harvest index, oil AND protein percentage. Analysis of variance showed that there was a significant difference between genotypes AND diallel analysis showed that the additive variance of all traits AND dominant variance of all traits except height to the first fruit-bearing capsule were significant. The oltan cultivar was the best AND Ardestan genotype was the worst genotype in terms of general combining ability. Sabzevar×TS-3 AND Sirjan×Fars were the best hybrids in most traits. The general heritability was between 0.90 to 0.96 for biologic yield AND NUMBER of branches, respectively AND narrow heritability was between 0.36 to 0.91 for the NUMBER of branches AND harvest index, respectively. The analysis of variance by Hayman method confirmed the results of Griffing analysis.

This study was performed to evaluate the effect of adding a mixture of peppermint, thyme AND rosemary essential oils (EOs) in a ratio of (3:1:2), respectively, to the diet, on growth performance, rumen AND blood parameters of fattening lambs. Twenty-one Mehraban lambs with an average weight of 29.80 kg were rANDomly allocated to one of three diets: 1) control, 2) base diet+1.25ml of EOs AND 3) base diet+2.5ml of EOs. Daily weight gain was greater in the groups receiving the EOs than in the control, although this increase was mainly due to the interactions of treatment over TIME. Feed consumption AND feed conversion ratio compared to the control did not altered. The total concentrations of VFAs AND acetate in the groups receiving EOs decreased (P<0.05), while the concentration of propionate increased (P<0.05) at the level of 2.5ml of EOs AND isovalerate increased (P<0.05) in both levels of EOs compared to the control. Total population of protozoa, rumen pH AND ammonia nitrogen concentration were not affected by treatments. Glucose concentration increased at high level of EOs (P<0.05). Concentrations of urea, cholesterol, triglycerides, creatinine, total protein AND albumin did not altered. The NUMBER of red blood cells, hemoglobin, hematocrit, NUMBER AND percentage of white cells including lymphocytes AND eosinophils were not affected by treatments but the percentage of monocytes decreased (P<0.05) at low level of the EOs. The results of this experiment showed that the addition of mixture of EOs to the diet did not have a significant effect on performance parameters AND immune system of lambs, although it reduced the total concentration of VFA AND acetate AND increased the concentration of propionate.

Purpose: Food security is a critical global challenge that is influenced by research AND innovation in the field. Therefore, the objective of this study is to analyze the scientific output of developing countries in food security AND examine its relationship with patents AND Gross Domestic Product (GDP).Methodology: This applied research utilized the Scientometric approach. A total of 8,416 papers published between 1992-2023 in the field of food security by developing countries were included in the study using citation databases from Clarivate Analytics. Additionally, patent registrations from the WIPO database AND GDP data from the World Bank were analyzed. Information was collected through note-taking, AND the data was analyzed using Pearson's correlation coefficient.Findings: The findings reveal an upward trend in the publication AND citation of scientific outputs related to food security in developing countries. China has higher NUMBERs of papers, patents, GDP, AND food production index compared to Iran, Japan, AND South Korea. There is also a positive correlation observed between population AND the NUMBER of papers, gross production AND the NUMBER of papers, food production AND the NUMBER of published papers, as well as the NUMBER of patents AND papers citing scientific outputs of countries.Conclusion: These results highlight the significant relationship between increasing scientific output, GDP, the NUMBER of patents, AND food security. Greater emphasis on food security contributes to enhanced scientific output, GDP, AND innovation. Similarly, increasing scientific output, GDP, AND innovation positively impact food security in countries.Value: This study emphasizes the importance of scientific outputs in driving technological advancements, innovations, AND ultimately, ensuring food security in developing countries.