1,943 research outputs found

    HNRNPU蛋白は、DNA修復とR-loop調節を介してCSRを促進する

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    京都大学新制・課程博士博士(医科学)甲第24805号医科博第150号新制||医科||10(附属図書館)京都大学大学院医学研究科医科学専攻(主査)教授 生田 宏一, 教授 上野 英樹, 教授 濵﨑 洋子学位規則第4条第1項該当Doctor of Medical ScienceKyoto UniversityDFA

    Do playstation5 product attributes drive console upgrading?

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    The number of times players must wait for a game to update its data before playing can detract from their console gaming experience. This article focuses on the decision­making processes that can be inferred from the product qualities that people seek before upgrading their gaming consoles. Apart from that, the benefits of upgrading. As a result, a detailed interview was conducted before the focus groups. To put the theories to the test, an online cross­sectional survey was used. The results revealed that physical product attributes such as image quality, processing speed, and product compatibility had a significant impact on the game's update to the PS5. When purchasing new game consoles, gamers place a high value on a variety of product characteristics such as user interface and gameplay experience. Furthermore, gamers prefer a combination of tangible and intangible attributes in their gaming console because it is difficult to determine which attribute is the most desiredO tempo de espera para carregar o jogo guardado, da própria consola, pode diminuir o valor da experiência enquanto jogador. Com a presente análise, pretendemos focarmo­nos no processo de decisão associado as características do produto que a maior parte dos jogadores procura ao carregar os seus jogos guardados. Para além disso, indicámos quais os benefícios de guardar o jogo na memória da consola. Antes de conduzirmos esta abordagem em grupos de foco, agendámos uma entrevista. E, de modo a colocar em prática as teorias estudadas, realizámos um questionário “cross­sectional”. Os resultados indicaram que as qualidades físicas do produto, tais como a qualidade da imagem, a velocidade de processamento, e a compatibilidade da consola têm um impacto significativo na gravação de jogos na PS5. Ao comprar um novo jogo, os jogadores têm expetativas altas quanto à variedade das características do produto, tais como a interface do usuário ou a experiência de jogar. Ademais, há uma preferência pela mistura de atributos tangíveis e intangíveis, pois têm dificuldade em determinar qual o atributo mais significativo, quando forçados a escolher apenas um único atributo tangível

    The Role of Employee Relationship Management in Developing Staff Word-Of-Mouth amongst seconded Academic Staff at Saudi Universities

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    Many organizations have recognized the significance of having good relationship with their employees, because they believe that service quality is greatly affected by frontline service employees. Therefore, this study aims to identify the role of employee relationship management (ERM) in developing staff word-of-mouth (SWOM) amongst seconded academic staff at Saudi universities through mediating employee dissent (ED). A survey questionnaire was prepared and distributed with a sample of 327-seconded academic staff in 10 Saudi universities. The results point to partial support was found for the mediating effect of ED between ERM and SWOM. Therefore, ERM increasingly contributed in developing SWOM in the existence of articulated dissent. Meanwhile, this contribution decreases in the existence of both latent and displaced dissent. Even more surprisingly, the results showed that although ED is a relatively new concept, but it plays negatively and pivotally partial mediating role in the relationship between ERM and SWOM. These results suggested that managers within Saudi universities urgently need strategies to create an ambiance in which academic staff can feel a sense of voice to diminish negative ED and promote positive SWOM as an effective recruitment strategy. In the light of results, the study discussed number of theoretical and managerial implications. Keywords: Employee Relationship Management, Staff word-of-Mouth, Employee Dissent, Seconded    Academic Staff, Recruitment Strategy

    Model Predictive Control Technique of Multilevel Inverter for PV Applications

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    Renewable energy sources, such as solar, wind, hydro, and biofuels, continue to gain popularity as alternatives to the conventional generation system. The main unit in the renewable energy system is the power conditioning system (PCS). It is highly desirable to obtain higher efficiency, lower component cost, and high reliability for the PCS to decrease the levelized cost of energy. This suggests a need for new inverter configurations and controls optimization, which can achieve the aforementioned needs. To achieve these goals, this dissertation presents a modified multilevel inverter topology for grid-tied photovoltaic (PV) system to achieve a lower cost and higher efficiency comparing with the existing system. In addition, this dissertation will also focus on model predictive control (MPC) which controls the modified multilevel topology to regulate the injected power to the grid. A major requirement for the PCS is harvesting the maximum power from the PV. By incorporating MPC, the performance of the maximum power point tracking (MPPT) algorithm to accurately extract the maximum power is improved for multilevel DC-DC converter. Finally, this control technique is developed for the quasi-z-source inverter (qZSI) to accurately control the DC link voltage, input current, and produce a high quality grid injected current waveform compared with the conventional techniques. This dissertation presents a modified symmetrical and asymmetrical multilevel DC-link inverter (MLDCLI) topology with less power switches and gate drivers. In addition, the MPC technique is used to drive the modified and grid connected MLDCLI. The performance of the proposed topology with finite control set model predictive control (FCS-MPC) is verified by simulation and experimentally. Moreover, this dissertation introduces predictive control to achieve maximum power point for grid-tied PV system to quicken the response by predicting the error before the switching signal is applied to the converter. Using the modified technique ensures the iii system operates at maximum power point which is more economical. Thus, the proposed MPPT technique can extract more energy compared to the conventional MPPT techniques from the same amount of installed solar panel. In further detail, this dissertation proposes the FCS-MPC technique for the qZSI in PV system. In order to further improve the performance of the system, FCS-MPC with one step horizon prediction has been implemented and compared with the classical PI controller. The presented work shows the proposed control techniques outperform the ones of the conventional linear controllers for the same application. Finally, a new method of the parallel processing is presented to reduce the time processing for the MPC

    Novel Approaches for State of Charge Modeling in Battery Management Systems

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    One of the key steps of any battery management system design is the representation of the open circuit voltage (OCV) as a function of the state of charge (SOC). The OCV-SOC relationship is very non-linear that is often represented using a polynomial that has log and inverse terms that are not defined around SOC equal to zero or one. The traditional response to this problem was only at the software level. In this thesis, I present a formal scaling approach to the OCV-SOC characterization in Li-ion batteries. I show that, through formal modeling and optimization, the traditional approach to OCV-SOC modeling can be significantly improved by selecting the proper value of ϵ\epsilon. When the proposed technique is used a decrease in the maximum SOC error of 9\% is reported. The proposed approach is tested on data collected from multiple cells over various temperatures for OCV-SOC characterization and the results are presented. State-space model (SSM) and the Kalman filter have several applications in the emerging areas of automation and data science including in battery SOC estimation. In many such applications, the application of Kalman filtering requires model identification with the help of the observed data. I present the formulas with derivations for linear state-space model parameter estimation using the expectation maximization (EM) algorithm. Particularly, I derive the formulas for different special SSM cases of practical interest, such as the continuous white noise acceleration (CWNA) model. Through simulation, I show the benefits of these derivations for the special models in comparison with the generalized approach

    On-Pump versus Off-Pump Coronary Artery Bypass Grafting in The Surgical Management of High-Risk Patients, A Clinical Randomized Study

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    Background: Surgical treatment modalities of coronary artery diseases (CAD) include on-pump or off-pump coronary artery bypass grafting (CABG). CABG performed on the beating heart can avoid complications that might occur on cardiopulmonary bypass. Our objective was to compare the effectiveness of on-pump versus off-pump CABG in high-risk patients stratified according to the EuroSCORE scoring system.  Methods: This randomized clinical study included 80 high-risk patients who underwent CABG and assigned into two groups; each contains 40 patients. Patients with valvular affection, ischemic ventricular septal defect or left ventricle and aortic aneurysms, and/or those exhibiting significant neurological pathology were excluded from the study. Study outcomes were blood loss, length of ICU and hospital stay, inotropic use, re-exploration rate, and operative mortality. Results: The study showed significant higher use of inotropic drugs intra and post-operatively (57.5% vs 40%, p = 0.021), more low cardiac output (12.5% vs 2.5%, p = 0.031), lower blood loss (337±67 vs 498±68 ml, p = 0.01), lower blood transfusion (1.1±0.2 vs 1.2±0.4 unit, p = 0.024), more prolonged ICU stay (4.0±1.6 vs 3.0±0.9 day, p = 0.001) and the higher re-exploration rate (17.5% vs 7.5%, p = 0.035) in the on-pump group. Hospital stay (8.7±2 vs 8.1±1, p = 0.121) and early mortality (7.5% vs 2.5%, p = 0.451) did not differ significantly between the two groups. Conclusion: Management of coronary artery disease is still challenging, and there is still a place for off-pump CABG in CAD in high-risk patients due to its advantages in the early complications while has the same total hospital stay when compared with on-pump CABG

    Influence of Oscillating Packing Instrument on Microhardness of Bulk-Fill Composite: In Vitro Study

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    AIM: This study aimed to assess Vickers microhardness of Tetric EvoCeram Bulk Fill composite that was packed manually and using oscillating packing device. MATERIALS AND METHODS: Two different packing techniques were applied on Tetric EvoCeram Bulk Fill composite. For each packing technique, ten specimens (6 mm in diameter and 4 mm height) were prepared using a black-shaded Teflon mold. The resin was inserted in a bulk increment either packed manually or using Compothixo oscillating device and then light-cured for 40 s. Microhardness was analyzed at the top and the bottom surfaces. RESULTS: Overall, for both packing techniques, microhardness decreased significantly with the increase of depth. Tetric EvoCeram Bulk Fill composite when packed either manually or using oscillating device, did not show significant difference neither at the top surfaces of both applied techniques nor at the bottom surfaces of both applied techniques. CONCLUSION: Different packing techniques did not influence the microhardness of Tetric EvoCeram Bulk Fill composite. &nbsp

    Routine versus selective plasma exchange before thymectomy in myasthenia gravis

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    Background: Prethymectomy plasma exchange may improve the outcome of surgery; however, the technique is associated with an increased risk of complications. Therefore, the objective of this study was to compare selective versus routine plasma exchange before thymectomy in patients with myasthenia gravis. Method: We conducted a prospective multi-center cohort study to compare two protocols for plasma exchange before thymectomy. We compared the routine plasma exchange in all patients undergoing thymectomy for myasthenia gravis (group I; n= 30) versus selective exchange (Group II; n= 30). Endpoints were the duration of postoperative mechanical ventilation, plasma exchange, and operative complications. Results: There was no difference in age between both groups (30± 10.1 vs. 29± 9.2 years in Group I and II, respectively; p= 0.69). There were 17 females in Group I (56.67%) vs. 16 in group II (53.33%) (p= 0.8). Comorbidities are comparable between groups. All patients preoperative pyridostigmine, and 27 patients (90%) in Group I and 26 patients (87%) in Group II received glucocorticoids. There was no difference in pulmonary function tests between groups. Plasma exchange related complications were not different between groups. Immediate extubation was achieved in 29 patients (97%) in Group II, and after 6 hours in one patient (3.33%). In Group I, 28 patients (93%) extubated immediately, and two patients were ventilated for 7-12 hours. The mean ICU stay was 1.5 days in Group I and 1.4 days in group II (p= 0.615). The mean hospital stay was 8.5 days in Group I and 9.2 days in group II (p= 0.118). There was no significant difference in pathology between groups (p= 0.137). Conclusion: Selective plasma exchange is feasible before thymectomy for myasthenia gravis. Selective plasma exchange may decrease exchange related complications without affecting the operative outcomes

    Advances in Multidimensional Chromatography

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    Comprehensive two-dimensional gas chromatography (GC×GC) is among the most powerful methods used to separate complex samples. Two columns of different selectivities are coupled in series through a special interface (modulator). The main role of the modulator is to trap and/or sample the primary column effluent and inject it into the secondary column. This results in an enhanced sensitivity, increased peak capacity and structured chromatograms. Practically all thermal modulators in use today are equipped with two trapping stages to prevent problems related to analyte breakthrough, which makes their design more complicated. In this work, The sensitivity of GC×GC coupled to two different detectors, time-of-flight mass spectrometer (GC×GC-TOFMS) and flame ionization detector (GC×GC-FID) was compared to the sensitivity of conventional one-dimensional gas chromatography (GC-TOFMS and GC-FID) by determining the limits of detection (LOD) for a series of different compounds such as n-alkanes and alcohols using both approaches. Different modulation periods were used for GC×GC ranging from 2 to 8 seconds. In addition, different types of inlet ferrules were used to study their effect on both systems. In general, the LODs in GC×GC were lower by at least an order of magnitude. A new liquid nitrogen-based single-stage cryogenic modulator was developed and characterized. In addition, a new liquid nitrogen delivery system was developed. Band breakthrough was prevented using changes in the carrier gas viscosity with temperature to reduce the carrier gas flow during desorption. Injection band widths for n-alkanes of 30-40 ms at half height were obtained. Most importantly, even the solvent peak could be perfectly modulated, which is impossible with any commercially available thermal modulator. Moreover, the newly developed liquid nitrogen supply system reduced liquid nitrogen consumption to ~30 L per day versus 50-100 L per day for commercially available modulators. Evaluation of the newly developed system for the GC×GC separation of some real samples such as regular gasoline and diesel fuel showed that the analytical performance of this single-stage modulator rivals that of the more complicated dual-stage designs. The technique was tested in various applications. Headspace solid phase microextraction in combination with GC×GC coupled to time-of-flight mass spectrometry (HS-SPME-GC×GC-TOFMS) were used for the detailed investigation of the impact of malolactic fermentation (MLF) using three commercial Oenococcus oeni strains on the volatile composition of Pinotage wines. The technique was also applied for the characterization of Pinotage wine volatiles and blue honeysuckle berries volatiles
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