20 research outputs found

    Bioethanol Production from Lignocellulosic Biomass

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    An overview of the basic technology to produce bioethanol from lignocellulosic biomass is presented in this context. The conventional process includes two main steps. First, lignocellulose must be pretreated in order to remove lignin and enhance the penetration of hydrolysis agents without chemically destruction of cellulose and hemicellulose. Second, the pretreated material is converted to bioethanol by hydrolysis and fermentation. Some typical published studies and popular processing methods in attempts to improve the biomass conversion to bioethanol and increase the cost-effectiveness are also introduced briefly. Herein, the refinery of the resulted raw bioethanol mixture to obtain higher concentrated solution is not regarded

    Impact of GnRH agonist triggering and intensive luteal steroid support on live-birth rates and ovarian hyperstimulation syndrome:a retrospective cohort study

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    BACKGROUND: Conventional luteal support packages are inadequate to facilitate a fresh transfer after GnRH agonist (GnRHa) trigger in patients at high risk of developing ovarian hyperstimulation syndrome (OHSS). By providing intensive luteal-phase support with oestradiol and progesterone satisfactory implantation rates can be sustained. The objective of this study was to assess the live-birth rate and incidence of OHSS after GnRHa trigger and intensive luteal steroid support compared to traditional hCG trigger and conventional luteal support in OHSS high risk Asian patients. METHODS: We conducted a retrospective cohort study of 363 women exposed to GnRHa triggering with intensive luteal support compared with 257 women exposed to conventional hCG triggering. Women at risk of OHSS were defined by ovarian response ≥15 follicles ≥12 mm on the day of the trigger. RESULTS: Live-birth rates were similar in both groups GnRHa vs hCG; 29.8% vs 29.2% (p = 0.69). One late onset severe OHSS case was observed in the GnRHa trigger group (0.3%) compared to 18 cases (7%) after hCG trigger. CONCLUSIONS: GnRHa trigger combined with intensive luteal steroid support in this group of OHSS high risk Asian patients can facilitate fresh embryo transfer, however, in contrast to previous reports the occurrence of late onset OHSS was not completely eliminated

    Single-machine Scheduling with Splitable Jobs and Availability Constraints

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    This paper deals with a single machine scheduling problem with availability constraints. The jobs are splitable and lower bound on the size of each sub-job is imposed. The objective is to find a feasible schedule that minimizes the makespan. The proposed scheduling problem is proved to be NP-hard in the strong sense. Some effective heuristic algorithms are then proposed. Additionally, computational results show that the proposed heuristic performs well

    Effect of time and temperature on the survival rate of mouse sperm (Mus musculus var. Albino) in short-term preservation without cryoprotectant agents

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    In this study, we studied the use of physiological saline solution (NaCl 0,9%) or dulbecco’s phosphatebuffered saline (D-PBS) for mature sperms short-term preservation. After being collected from epididymides, sperms were adjusted to desired concentration (2x106 sperms/ml) with NaCl 0.9% solution or D-PBS solution (the dishes containing sperms were covered by mineral oil) and stored at 4oC, iooC and room temperature (RT/26oC

    Ultimate pretreatment of lignocellulose in bioethanol production by combining both acidic and alkaline pretreatment

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    Alkaline pretreatment has been known as the most popular method to process lignocellulosic materials for bioethanol production due to its simplicity and high efficiency. However, the waste water of the process has a very high basicity, which requires neutralization with acids upon further disposal. In this study, rubber wood saw dust (Hevea brasiliensis) was employed as lignocellulosic material and its pretreatment was inspected with both diluted H2SO4 and NaOH in different combination ways. Hereby, acid was used not only for waste water neutralization but also to contribute to lignin removal. Analysis results showed that an aqueous solution of 2.0 - 2.5 wt.% H2SO4 can be used to treat the biomass followed by alkaline pretreatment. By this so-called combo-pretreatment technique, cellulose was well preserved without significant hydrolysis while the final pretreatment efficiency was up to 63.0%, compared to 48.2% of using only the alkaline solution and 13.7% of using only the acidic solution. Finally, alkaline waste water can be mixed to be neutralized with acidic waste water from the two previous steps. This innovated technique improved the pretreatment efficiency almost without increasing in chemical cost

    TẠO DÒNG CÁC GEN MÃ HÓA CHITINASE 42 kDa CỦA Trichoderma asperellum VÀO VECTOR BIỂU HIỆN THỰC VẬT pMYV719 ĐỂ PHỤC VỤ CHUYỂN GEN

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    In this study, chitinase genes containing a signal peptide sequence, such as Chi42, syncodChi42-1 and syncodChi42-2, were cloned in the plant expression vector pMYV719 and successfully transferred into Agrobacterium tumefaciens LBA 4404. Among them, Chi42 is a wild-type gene of Trichoderma asperellum SH16. Both genes syncodChi42-1 and syncodChi42-2 are derived from Chi42, which was optimized for codon usage for plant expression. Agrobacterium bacteria-harbouring pMYV719/chitinase vector was used for genetic transformation into peanuts (Arachis hypogaea L.) to enhance resistance to phytopathogenic fungi in further studies.Trong nghiên cứu này, các gen chitinase mang trình tự peptide tín hiệu như Chi42, syncodChi42-1 và syncodChi42-2 đã được tạo dòng trong vector biểu hiện thực vật pMYV719 và biến nạp thành công vào vi khuẩn Agrobacterium tumefaciens LBA 4404. Trong đó, gen Chi42 là kiểu gen hoang dại từ chủng nấm Trichoderma asperellum SH16. Hai gen syncodChi42-1 và syncodChi42-2 có nguồn gốc từ gen Chi42 đã được tối ưu hóa bộ ba sử dụng để biểu hiện thực vật. Vi khuẩn A. tumefaciens mang các gen chitinase được sử dụng để chuyển gen vào cây lạc (Arachis hypogaea L.) trong các nghiên cứu tiếp theo để cải thiện khả năng kháng nấm bệnh của chúng

    Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

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    Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural sciences. Today, AI has started to advance natural sciences by improving, accelerating, and enabling our understanding of natural phenomena at a wide range of spatial and temporal scales, giving rise to a new area of research known as AI for science (AI4Science). Being an emerging research paradigm, AI4Science is unique in that it is an enormous and highly interdisciplinary area. Thus, a unified and technical treatment of this field is needed yet challenging. This work aims to provide a technically thorough account of a subarea of AI4Science; namely, AI for quantum, atomistic, and continuum systems. These areas aim at understanding the physical world from the subatomic (wavefunctions and electron density), atomic (molecules, proteins, materials, and interactions), to macro (fluids, climate, and subsurface) scales and form an important subarea of AI4Science. A unique advantage of focusing on these areas is that they largely share a common set of challenges, thereby allowing a unified and foundational treatment. A key common challenge is how to capture physics first principles, especially symmetries, in natural systems by deep learning methods. We provide an in-depth yet intuitive account of techniques to achieve equivariance to symmetry transformations. We also discuss other common technical challenges, including explainability, out-of-distribution generalization, knowledge transfer with foundation and large language models, and uncertainty quantification. To facilitate learning and education, we provide categorized lists of resources that we found to be useful. We strive to be thorough and unified and hope this initial effort may trigger more community interests and efforts to further advance AI4Science
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