Practical applications of sulfurized polymer (SP) materials in Li-S batteries are often written off due to their low S content (~35 wt. %) by placing them on the same footing as S8/C composite cathodes. Here, we show that some SP materials function as pseudocapacitors with an active carbon backbone using a comprehensive array of tools including in-situ Raman and electrochemical impedance spectroscopy. We calculated the critical metrics for 35 wt. % S containing SP cathodes by including pseudocapcitive contributions from the carbon backbone. We found that SP cathodes with an active carbon backbone are suitable for 350 Wh/kg target at the cell level if S loading >5 mg/cm 2 , E/S ratio < 2 µL/mg, and N/P ratio < 5 can be achieved. Although 3D current collectors can enable such high loadings, they often add excess mass that decreases the total capacity at the cell level. To overcome this, we developed an "active" carbon nanotube bucky sandwich (BS) current collector (amenable for roll-to-roll processing) that contributes to the total capacity offsetting its excess weight. We prepared SP cathode with ~5.5 mg/cm 2 of S loading (~15.8 mg/cm 2 of SP loading), which yielded a sulfur-level gravimetric capacity ~1360 mAh/gs (~690 mAh/gs), electrode level capacity 200 mAh/gelectrode (100 mAh/gelectrode), areal capacity ~7.8 mAh/cm 2 (~4.0 mAh/cm 2) at 0.1C (1C) rate for ~100 cycles at E/S ratio = 7 µL/mg. We also succeeded in preparing pouch cells using BS SP cathodes containing ~5 mg/cm 2 S with a capacity ~1300 mAh/gs (~190 mAh/gelectrode) at 0.1C rate.

Acclimation to different light regimes is at the base of survival for photosynthetic organisms, regardless of their evolutionary origin. Previous research efforts largely focused on acclimation events occurring at the level of photosynthetic apparatus and often highlighted species-specific mechanisms. Here, we investigated the consequences of acclimation to different irradiances in Chlorella vulgaris, a green alga that is one of the most promising species for industrial application, focusing on both photosynthetic and mitochondrial activities. Moreover, proteomic analysis of cells acclimated to high light (HL) or low light (LL) allowed identification of the main targets of acclimation in terms of differentially expressed proteins. The results obtained demonstrate photosynthetic adaptation to HL vs. LL that were only partially consistent with previous findings in Chlamydomonas reinhardtii, a model organism for green algae, but in many cases similar to vascular plant acclimation events. Increased mitochondrial respiration measured in HL-acclimated cells mainly relied on alternative oxidative pathway dissipating the excessive reducing power produced due to enhanced carbon flow. Finally, proteins involved in cell metabolism, intracellular transport, gene expression, and signaling —including an heliorhodopsin homolog — were identified as strongly differentially expressed in HL vs. LL, suggesting their key roles in acclimation to different light regimes.

Both magnesium (Mg) and nitrogen (N) play many important roles in plant physiological and biochemical processes. Plants usually exhibit low nitrogen utilization efficiency (NUE) under Mg deficiency conditions, but the mechanisms by which Mg regulates NUE are not well understood. Herein, we investigated biomass, nutrient uptake, sorbitol and sucrose transport, and relative gene expression in apple seedlings under various concentrations of Mg and N treatments in hydroponic cultures. We first observed that low Mg supply significantly limited plant growth and N, Mg concentrations. Increasing the supply of N, but not Mg, partially alleviated the inhibition of plant growth under low Mg stress, which indicated that Mg deficiency had a negative impact on plant growth because it inhibits N absorption. Moreover, we found that the expression of nitrate transporter genes MdNRT2.1 and MdNRT2.4 was significantly downregulated by low Mg stress, and sufficient Mg significantly promoted sucrose and sorbitol synthesis and transport from leaves to roots by regulating relevant enzyme activity and genes expression. Further experiments showed that exogenous sorbitol can rapidly restore MdNRT2.1/2.4 expression and nitrate uptake under low Mg availability, suggesting that Mg may regulate MdNRT2.1/2.4 expression by regulating more sorbitol transport to roots. Taken together, Mg promoted sorbitol synthesis and transport into roots, thus upregulating the expression of MdNRT2.1/2.4 and increasing the absorption of nitrate.

Combining individual movement and home range data can allow us to better understand how an animal interacts with its surroundings and how this influences ecological dynamics. Previous studies about the movement and home range of snakes have shown several factors influencing them. Usually, these studies were made with different species, using different methods and in different regions, hampering a comparative analysis to identify general patterns. The present study aims to review all available literature about snake movement and home range identifying the influence of phylogenetic, ecological, and morphological factors on these behaviors. We conducted an exhaustive survey of specialized journals and online databases for papers that used radio telemetry to track snakes. We found 448 papers and after applying filter selected 74 of them to determine the influence of the ecological factors and of the phylogeny on snake movement and home range in 1010 snakes. Our results show that movement and home range have no phylogenetic signal, however, functional traits are linked to snake's habits and reflect the particularities of survival strategies and morphologies of each group. Larger and heavier snakes move more and occupy larger areas. Snake movement seems to be more efficient in aquatic environments. Our results provide useful data to understand the dynamics of snake movements and space use and outline strategies for their conservation.

The Philippine native pig (PhNP) is a unique genetic resource with complex genetics due to multiple ancestries and hybridizations with wild pigs. No prior study has determined the population structure and genetic diversity of PhNPs on multiple islands and provinces, which is essential for establishing conservation priorities. In this study, we explore the population structure and genetic diversity of various PhNP populations in Luzon and the Visayas, Philippines, to identify conservation priorities. We analyzed 157 native pigs representing 7 populations (Benguet (B), Kalinga (K), Nueva Vizcaya, Isabela (I), Quezon (Q), Marinduque (M), and Samar (S)) and 39 pigs of transboundary distribution (Duroc, Large White, Landrace, and Berkshire). The pigs were compared against a panel of 21 ISAG–FAO recommended microsatellite markers. We tested for population structure at the island, administrative region and province levels. Strong genetic differentiation between native and transboundary breeds was confirmed by analysis of molecular variance (Frt: 0.08; F’st: 0.288-0.728), Bayesian clustering (k = 2) and Nei’s DA genetic distance (98% bootstrap support for the PhNP cluster). PhNP exhibited high heterozygosity (Ho: 0.72), a high allele count (Na: 9.24) and a low inbreeding coefficient (Fis: -0.022 to 0.150). Bayesian clustering supported genetic differentiation at the island (k = 2; North Luzon and South Luzon-Visayas cluster), administrative region (k = 4) and population (k= 9) levels. The pairwise F’st between PhNP populations ranged from 0.130 (Q and M) to 0.427 (Q and K), confirming that PhNP populations exhibited sufficient genetic distance to be considered separate populations. This study shows that the seven previously assigned PhNP populations, roughly delimited by provincial origin, are unique genetic units for conservation. Furthermore, the small effective population sizes of B, Q, I, and S (Ne: 5, 17, 24, and 26, respectively) necessitate immediate conservation actions, such as incentivizing the farming of PhNP.

In this study, an optimisation model is developed for two-stage energy management of a residential building to minimise energy cost under monthly power-based tariffs for peak demand and time variable electricity prices. The expected peak demand is determined in the first stage, and then the energy management system minimises the energy cost in the second stage. The optimisation problem of the second stage is solved in a rolling time window for the real-time operation of the flexible energy sources in the building. The optimal charging and discharging of the battery energy system, the charging of the electric vehicle battery, the operation of the heating system and the optimal start times of washing machines and dishwashers are determined close to real-time. The proposed approach allows the user to determine the expected peak during the month ahead and try to keep the peak demand in daily operation below that value using a close to real-time energy management system. The performance of the two-stage approach for demand-side management of a residential building has been validated by a realistic case study.

The spatial positioning model of the fragment perforation on the randomly scattered target plate in the explosion center coordinate system after the static explosion of the explosive warhead is investigated. Assuming that the fragment perforation is formed in the position of the target plate before static explosion, the principle of spatial positioning of the randomly scattered target plate is designed. Combined with coordinate system transformation and plane projective transformation, the spatial positioning model of randomly scattered target plate after static explosion is constructed to realize the spatial positioning of the center of explosion coordinate system for fragment perforation. Through the simulated scene experiment, the fragment perforation space coordinates mapped by the target plate spatial positioning model are given, and the spatial positioning model of the randomly scattered target plate are verified.

Abstract: Minor hepatic impairment might already exist before meeting the diagnostic criteria for tigecycline-induced liver injury. To clarify the process, we performed a retrospective study among 1054 adult inpatients treated with tigecycline to evaluate characteristics of each indicator for liver function tests (LFTs) during the course. Indicators of LFTs contained serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), gamma-glutamyltransferase (GGT), and total bilirubin (TB). Incidence of each indicator abnormality and dynamic changes of severity grading during the course were evaluated respectively. Multiple logistic analysis was applied to identify independent risk factors associated with abnormal LFTs. 798 patients were finally included. Values of first and peak abnormalities were significantly increased compared with those at baseline. Gender was considered an independent factor for abnormal ALT (OR=0.544, P=0.001), AST (OR=0.652, P=0.012) and GGT (OR=0.582, P=0.006). High maintenance dosage (100mg twice daily) and prolonged duration (>14 days) were independent risk factors for abnormal ALT, AST, ALP, and GGT (P=0.000 for all parameters). Furthermore, surgery (OR=1.513, P=0.005) and abnormal baseline LFTs (OR=1.372, P=0.037) were independent risk factors for abnormal TB. The current study first depicted characteristics of abnormal LFTs during tigecycline therapy, facilitating early detection of liver injury.

Power electronic circuits play an extremely important role in industrial systems. Parametric failure of components in these circuits are extremely prone to occur, which can easily evolve into catastrophic failures with time. Hence fault diagnosis of circuits can avoid catastrophic failures. In this paper, we propose a channel segmentation residual network (CSRN) for circuit fault diagnosis, in which Gram angular difference filed (GADF) is used to convert the original fault signal into a two-dimensional feature map for input into the CSRN. The channels of the input feature map are distinguished by selecting the main working channels through a channel segmentation mechanism and a Darwin selection mechanism for feature retention and deletion operations. The diagnostic performance of the proposed method is verified on the DC-DC circuit fault dataset, and the results show that the proposed CSRN achieves 97.92% fault classification accuracy for this circuit, which is 1.98%, 13.34% and 6.67% higher than other models, respectively.

Fuel cells are used in many applications, from personal use to energy generation stations. The fuel cell systems consist of a fuel cell stack, and its components to control air, H2 O, thermal and electrical power. The entire system is efficient at maximum and half load, scales to a variety of sizes, is eco-friendly and has potentially comparable initial costs to conventional technologies. Portable electricity, mobility, cogeneration in buildings, and distributed electricity for utilities are promising applications for fuel cells. The vital barriers to the money orientation of fuel cells are pricing and longevity. We will talk about fuel cells, the classification of fuel cells, fuel cell problems, and how artificial intelligence can help improve the performance of fuel cells.

Extreme climatic events may influence individual-level variability in phenotypes, survival, and reproduction, and thereby drive the pace of evolution. Here, we quantify how experiencing major hurricanes influences individual life courses in the Cayo Santiago rhesus macaques. Our results show that major hurricanes increase heterogeneity in reproductive life courses despite an average reduction in mean fertility and survival, i.e. shortened life courses. In agreement with this, the population is expected to achieve stable population dynamics faster after a hurricane. Our work suggests that natural disasters force individuals into new niches to potentially reduce strong competition during poor environments where mean reproduction and survival are compromised. We also demonstrate that variance in lifetime reproductive success and longevity are differently affected by hurricanes, and such variability is mostly driven by survival.

It’s important to discover new resources and expand knowledge of the distribution range of Apis cerana for the conservation and utilization of genetic resources. Here, we newly sequenced genomes and apply population genetic and morphological analysis methods using publicly available genome-wide datasets to investigate the origin and adaptation of A.cerana sanshasis from Yongxing Island. The results showed SanshaId colony was significantly genetically differentiated from others with an average Fst of 0.2669, indicating a level of subspecies differentiation. Morphological clustering also showed significant differences, especially the tongue length of SanshaId colony was significantly smaller than that of others. In summary, we concluded that A.cerana sanshasis is a subspecies of A.cerana. Population history analysis showed SanshaId population has a recent common ancestral feature with Hainan’s, and subspecies differentiation occurred around 0.57 Ma due to geological movements causing geographic isolation. We examined the genetic variation between the recently marginalized colonies from HainanId and SanshaId, and found high frequency nonsynonymous mutations gene in SanshaId colony involved in Glutathione metabolism and other signaling pathways, among which a gene potentially related to tongue length morphology, Cuticular, was subject to evolutionary selection; meanwhile, differential tissue expression profiles showed a correlation with glucose metabolism genes are highly expressed in the midgut, suggesting these genes may be associated with adaptation to tropical island environments. Our results expand the understanding of the distribution range of Asian honeybee and provide the basis for understanding the population dynamics of A.cerana sanshasis and the molecular evolutionary mechanisms of adaptation to tropical island environments.

Microalgae, the ocean's primary producers, have proven a large capacity for adaptation, but the implications for species interactions are rarely examined. In a 2-year experiment, we exposed the marine diatom Chaetoceros tenuissmus to warming and examined the responses of its mutualistic bacterial community. The diatom adapted to warming by increasing its temperature optimum and maximum growth rate, whereas the microbiota increased its maximum growth rate without changing its temperature optimum. Rhodobacteria dominated the diatom-associated communities at ambient temperatures and this dominance did not diminish under warming conditions. Extinctions occurred in low-abundance genera, but under warming conditions, new partners appeared. The warming consortium was stable when transplanted to ambient temperatures, indicating a strong association. Duration of exposure to temperature appeared relevant, highlighting the consequences of short-warming events. Our results agree with predictions that long-term evolution of asymmetric mutualistic associations increases strength and diversity, particularly under warming.

Radial-skeleton shape-changing robots are rough-terrain robots and exhibit many advantages in the aspect of mobility, such as excellent terrain adaptability, light weight, good portability, and stable configuration. However, existing gait generation methods are rough and yield low tracking accuracy because the leg-ground contact friction is difficult to predict and control. In addition, no closed-loop control scheme has been proposed for this type of robot. In this study, we designed a 12-legged radial-skeleton robot with a radial expansion ratio of 2.08. Based on the prototype, we proposed a high-precision gait generation algorithm that can be used to any multi-legged radial-skeleton robot and implemented a closed-loop control scheme for accurate path tracking. Combining the contact friction and multi-body dynamics model, the robot prototype exhibits the advantages of omnidirectional motion, high-precision tracking, and motion robustness. By manufacturing a prototype and conducting comparative experiments, we verified that the proposed method yields good performance in terms of trajectory tracking accuracy and robustness in the cases of unknown terrain and interference.

Male and female pollinators often exhibit sex-specific preferences for visiting different flowers. Recent studies have shown that these preferences play an important role in shaping the network structure of pollination mutualism, but little is known about how they can mediate plant-plant interactions and population dynamics of competing plants. Inter-plant competition occurs not only directly (e.g. for nutrients, water, and habitats) but also indirectly through pollination. The ecological consequences of sex-specific pollination can be complex. For example, a plant favoured by female pollinators contributes to the production of male pollinators, who may prefer visiting other competing plants and intensify the negative effects of inter-plant competition. Here, we analysed a simple two-plant-one-pollinator model with the sex structure of the pollinator. We observed that (i) sex-specific pollination can have complex consequences for inter-plant competition and coexistence (e.g. the occurrence of non-trivial alternative stable states in which one plant excludes or coexists with the other depending on the initial conditions), (ii) male and female pollinators have distinct ecological consequences because female pollinators have a demographic impact owing to reproduction, and (iii) plants are likely to coexist when male and female pollinators prefer different plants. These results suggest that sex-specific pollination is crucial for competition and coexistence of co-flowering plants. Future, pollination research therefore should more explicitly consider the sex-specific behaviour of pollinating animals.

Agricultural expansion has markedly reduced forests and reconfigured landscapes. These changes incur a well-known detrimental impact on the biodiversity of local forest patches, but the effects on species persistence at broader geographic scales are widely debated. We investigated how regional diversity is affected by habitat loss, fragmentation, and cattle grazing, and how species respond to deforestation both locally and regionally. We also investigated how the heterogeneity in species distribution (beta-diversity) alters species responses across scales. The vast majority of the 251 ant species found in our study were negatively affected by both habitat loss and cattle at local forest patches, drastically reducing diversity at these patches compared to pristine forests. Despite local declines in diversity, however, heavily fragmented landscapes could still retain most species due to the high heterogeneity in species distribution. Beta-diversity is the main component of regional diversity, and this component is maximized when remnant primary habitats in a landscape are spread across vast areas. Although preserving local diversity may be important for the adequate functioning of the ecosystem, our results indicate that the maintenance of many small forest patches in a landscape can buffer regional biodiversity against local species extinctions. Our results suggest that even small forest remnants in otherwise deforested landscapes can prevent most regional-scale species extirpations, and therefore also merit conservation efforts.

L'elaborato sembra essere generalmente abbastanza approssimativo. L'invito è quello di rileggerlo ed esplicare in maniera più chiara diversi concetti, grossomodo elencati di seguito. (Abstract) è poco chiaro: usare un linguaggio corretto e più preciso. Ad esempio, il periodo "La plastica viene considerata tra le principali cause di inquinamento" non è corretto, usare un linguaggio più appropriato e chiarire il concetto. Inoltre, la punteggiatura è assente, suddividere in periodi più brevi, allo stato attuale non è di facile lettura.(Introduzione) fin dal primo periodo i concetti non sono chiari. Ad esempio: "Queste tipologie ..." è ridondante e superfluo, si può usare un esempio più attinente; "Tra le ultime leggi ... e soprattutto allo stop delle produzioni di questi oggetti" rivedere il concetto ed esprimerlo meglio.(Le bioplastiche) vedere in generale la forma,  in alcuni punti il concetto è incompleto, macchinoso e/o poco chiaro.(Il ciclo di vita) spiegare qual è il ruolo delle microalghe, perché vengono utilizzate ed in che modo possono assolvere il ruolo designato.(Soluzioni alternative) motivare in maniera approfondita, perché risulta essere un argomentazione sommaria (magari lo si può fare anche mediante il confronto con altri casi studio).(Conclusioni) rivederle e scriverle in maniera più chiara, facendo attenzione anche alla grammatica.REFERENCES ->  assicurarsi che le citazioni fatte siano veritiere, anche nel testo riportato. In più: reference n° 38 (Mounic Errani): compare nelle references ma non nel testo.

A 34-year-old man complained of radiating pain in the left lower extremity for 1 week,and diagnosed as soft tissue sarcoma of the left hip with pulmonary metastasis.The postoperative pathology report was poorly differentiated synovial sarcoma.Intussusception and liver metastases were found 1 week after surgery,and then rapidly deteriorated and died.

IntroductionEculizumab is a fully humanized monoclonal blocking antibody to complement protein C5 that inhibits cleavage to C5a and C5b, thus preventing terminal complement complex C5b-9 and formation of the membrane attack complex.1 Eculizumab was FDA approved in 2020 for the treatment of neuromyelitis optica (NMO) after it was shown to be effective in reducing relapse frequency in highly clinically active, aquaporin-4 immunoglobulin G (AQP4-IgG)-positive NMO.2 Commonly reported side effects (>10%) include upper respiratory infections and headache. A life-threatening desquamating rash and hyperammonemia following administration of eculizumab for paroxysmal nocturnal hemoglobinuria (PNH) has been reported.3 Cutaneous adverse drug reactions can range from self-limited cutaneous eruptions such as maculopapular exanthema to severe cutaneous drug reactions. Severe cutaneous adverse reactions are rare, potentially life-threatening, and T-cell mediated hypersensitivity reactions.4 Certain drugs can induce autoantibodies rather than cause an autoantibody-associated disease. The information available suggests eculizumab is unlikely to do this.5 We report a patient with refractory NMO who developed a cutaneous drug reaction following intravenous eculizumab administration. This information will be useful to clinicians, given the expanding clinical uses of eculizumab in diseases such as atypical hemolytic uremic syndrome (aHUS), PNH, and myasthenia gravis.6-8 Eculizumab has also been used for lupus nephritis-associated thrombotic microangiopathy in systemic lupus erythematosus patients.9

After longstanding political discussion over developing national public health systems, achieving universal health coverage, preferably publically funded programmes becomes the current agenda for societies around the world. However, this is happening at a time when the world is facing shortage of millions of health care professionals including doctors, nurses, midwives, and support workers. The most affected are developing countries struggling to come up with innovative strategies to address the challenge. Large parts of the rural population in India rely on untrained medical professionals, making it the only option for medical support in many villages. Methods: The study was conducted among participants and organizers of medical camp conducted at a rural village in southern part of India. The study employed a cross sectional descriptive study design to analyze the importance of medical camp as a short term medical intervention in dealing with shortage of human resources in rural villages. The needs, expectations and satisfaction of participants and organizers of the camp regarding health care workers were analyzed using thematic analysis methods to answer the research question. Results: The themes that emerged from data analysis shows that community medical camp approach attempts to complement the shortage of human resources and other resources essential for smooth functioning of primary health care services in rural areas. A coordinated effort to train village health workers and keeping them in a network of health care professionals from nearby towns who will be frequently available in the villages will serve the rural people better.

In 1992, our esteemed colleagues Alan Breier, Orlando Davis, Robert Buchanan, Samuel J. Listwak, Courtney Holmes, David Pickar, and David S. Goldstein published a seminal scientific paper titled "Effects of Alprazolam on Pituitary-Adrenal and Catecholaminergic Responses to Metabolic Stress in Humans." In it, they described with high accuracy the effects of benzodiazepines on stress-induced activation of the three classic "stress" systems: Pituitary-adrenal, adrenal medullary, and sympathoneural systems. The results provided an answer to a question that is still being asked today: Why is alprazolam so much more effective than all other benzodiazepines for certain anxiety-related conditions, especially panic attacks? The colleagues found the answer to that question, but although the work was impeccable, their findings never made it into medical textbooks. What Breier et al. found was this: Alprazolam is able to attenuate 2DG-induced activation of the HPA axis and adrenomedullary activity, as evidenced by attenuated responses of plasma levels of ACTH and epinephrine, respectively, without clinically affecting other important responses of two indices of sympathoneural activity. For the treatment of patients whose adrenal glands are working in a highly dysfunctional or centrally dysregulated manner due to rare diseases such as NTBI induced H63D syndrome, alprazolam is still the first drug of choice - despite its dependence potential - to protect the organism of the affected person from dangerous adrenaline excesses that are way more dangerous than any well-monitored use of alprazolam.

Rhesus macaque (Macaca mulatta) is the most extensively studied nonhuman primate species for human biomedical modeling. However, little is known about the biological pattern of genome-wide structural variations (SVs) and the evolutionary forces underlying SVs in this species. Here, we conducted genomic sequencing and analyses based on Nanopore long-reads and Illumina short-reads technologies. We called SVs between the two subspecies (China vs. India), using three methods of assembly-based and long-reads-based algorithms. Interestingly, we found significantly more SVs in the X-chromosome than in autosomes, consistent with the expectation of the faster-X divergence at the subspecies level. With the fine-scale methylation frequencies and recombination rates, we found duplications with significantly lower methylation frequencies while higher recombination rates than other types of SVs, suggesting a higher level of transcriptional and evolutionary potential for duplications than for other SVs types. A genome-wide scan of selective sweeps revealed that over 3% of SVs are under positive selection and that X chromosome showed significantly higher number of positively selected SVs than do autosomes, suggesting the “faster-X effect” of SVs. Thus, our study revealed a different evolutionary importance of duplications compared with other SVs forms in producing raw material upon which selective forces, including the faster-X effect, can further play.

In financial planning problems, the determination of the best investment is one of the interesting optimization models. In the proposed work, an investment problem (IP) is introduced in vague environment. The vagueness in return parameter is characterized by normalized heptagonal fuzzy number (HFN). One of the suitable interval approximations, namely, an inexact rough interval of a normalized HFN is utilized. Afterward, the inexact rough interval investment problem is considered. A dynamic programming (DP) approach is developed, which is applied for optimizing the fuzzy investment problem. The ideology of ''rough interval number'' is suggested in the mathematical modeling framework of the proposed problem to show the rough data as an inexact rough interval of piecewise quadratic fuzzy numbers. Afterward, the DP approach is applied to solve and compute a rough interval solution. Finally, a numerical example is yielded for the utility of the approach to apply on real-world problem for the decision-maker. The obtained results consist of the total optimal return with inexact rough intervals on a $ 10 million investments is as follows: $ [[1.69, 2.08]: [1.75, 1.91]] millions.

In the present paper, an inventory model without shortages has been considered in a fuzzy environment. Our goal is to determine the optimal total cost and the optimal order quantity for the proposed inventory model. The Trapezoidal fuzzy numbers have been introduced in order to achieve this goal. The computation of economic order quantity (EOQ) is carried out through defuzzification process by using signed distance method. The signed distance method is more applicable than the other methods of defuzzification. To illustrate the results of the proposed model, we have given two model examples and presented the computational results. Sensitivity for this model is also studied, which shows a linear relation between demand, EOQ, and total cost. The advantage of the proposed approach is that it is simple, gives a better result in relatively less computational work.