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Pasien pendertita kanker payudara akan mengalami perubahan fisik, psikologis (seperti tingkat depresi dan kecemasan), fungsi sosial, seksual serta aktifitas sehari-hari. sehingga akan berpengaruh terhadap kualitas hidup atau quality of life (QOL) penderita. Akan tetapi dengan adanya Perawatan paliatif yang baik diharapkan mampu merubah kualitas hidup pasien kanker menjadi lebih baik. penelitian ini bertujuan untuk mengetahui hubungan perawatan paliatif dengan kualitas hidup pada pasien kanker payudara di Rumah Sakit Ibnu Sina YW-UMI Makassar. Penelitian ini menggunakan desain penelitian survei analitik dengan pendekatan cross sectional study. pengambilan sampel dalam penelitain ini adalah purposive sampling dengan besar sampel sebanyak 43 responden. Hasil penelitian ini menunjukkan bahwa perawatan paliatif dengan kualitas hidup baik yaitu 26 pasien (83,9%) dan yang memiliki perawatan paliatif dengan kualitas hidup kurang baik 5 pasien (16,1%) sedangkan yang memiliki perawatan palitif dengan kualitas hidup cukup baik 3 pasien (30,0%) dan yang memiliki perawatan paliatif dengan kualitas hidup kurang baik 7 pasien (70,0%) sedangkan perawatan paliatif dengan kualitas hidup Baik 0 pasien (0,0%) dan yang memiliki perawatan paliatif dengan kualitas hidup kurang baik 2 pasien (4,7%). Hasil uji statistik Chi Square diperoleh nilai probabilitas (p value =0,001. Sehigga dapat disimpulkan bahwa ini adalah terdapat hubungan antara perawatan paliatif dengan kualitas hidup pada kualitas hidup pada pasien kanker payudara di Rumah Sakit Ibnu Sina YW-UMI Makassar.

ABSTRACTThe goal of this study was to analyse the combustion characteristics and emissions of Jatropha curcas biodiesel (JCB) when run in a diesel engine. Jatropha curcas oil was used to produce Jatropha curcas biodiesel (JCB) through a transesterification process. The major fuel properties of JCB, including the acid value, kinematic viscosity, flash point, gross heating value, and iodine value, were determined and compared with that of soybean biodiesel (SBM), sunflower seed biodiesel (SFM), mackerel fish oil biodiesel (MB), and premium diesel (D). JCB had a higher density, acid value, kinematic viscosity, iodine value and flash point, but a lower gross heating value, than D. JCB was then used to analyze combustion characteristics, CO, CO2, NO, NOx, SO2, and particulate matter (PM), under varied engine speeds and varied engine loads. The experimental results show CO2 concentration increased with increasing engine loads for all fuels. Engine trials on D exhibited better combustion efficiency at lower engine loads (0 kW–4 kW) but engine trials on JCB exhibited better combustion efficiency for higher engine loads (5 kW– 8 kW). JCB emitted more NO and NOx on a loaded engine. Engine trials on JCB emitted higher PM concentration when the engine was not loaded, while engine trials on MB produced higher PM concentration when the engine was loaded. The estimated CO2 emissions for JCB, MB, and D are 9221.3, 9617.2, and 10185.0 g (gal fuel)–1, respectively.

This paper introduces a model predictive control (MPC) strategy for the purpose of fuel-optimal operation of a range-extender hybrid vehicle. The modern navigation system nowadays can provide abundant road information. Using this information, the proposed controller solves a global optimization problem offline in order to determine a preset trajectory of the state of charge (SoC). The online MPC uses the resulting SoC trajectory as set-points for the terminal state in every moving horizon. Repeating this process, the optimal energy management along the trip to be traveled can thus be calculated. This proposed control strategy is implemented in the commercial vehicle simulation environment IPG CarMaker. From the first simulation results, the proposed strategy shows a promising fuel saving potential with real-time capability.

The most severe failures in power grids are often characterized as cascading failures where an initial event triggers consequent failures all along the grid often leading to blackouts. Upon identifying a failure and its cascade potential, timely control actions should be performed by the grid operators to mitigate the effect of the cascade. These actions have to be delivered to one or more control devices, creating a dependency between the power grid and its control network. This paper examines the dependency of the operation of the power grid on the control network. Different from literature studies on failure control, our dependency model captures the impact of networking parameters. We formulate an algorithmic model that describes the impact of this dependency on cascade control. Based on this model, we propose an efficient cascade control algorithm using load shedding with consideration of delays in the communication network for power grids. Finally, we evaluate the impact of the power-communication network dependency with uncontrolled grids, ideal/simple control grids and our proposed control scheme. The results demonstrate that the proposed algorithm can significantly reduce the failure of power lines while sustaining larger power demand for users.

Energy management is considered the major concern in cloud computing, which supports the rapid growth of data centers and computing centers; therefore, energy and load balancing have become crucial issues in cloud data centers. To address this issue, the present paper proposed a two-phase energy-aware load balancing (EALB) scheduling algorithm using the virtual machine migration through the Particle Swarm Optimization (PSO) algorithm to be applicable to dynamic voltage frequency scaling-enabled cloud data centers, which is called EALBPSO. In the first phase, an objective function was employed to deactivate a large number of physical machines in order to reduce energy consumption. The main idea of the algorithm was to maximize load balancing in the second phase, in which the remaining virtual and physical machines were used as the PSO inputs, and an objective function was also defined to distribute the load appropriately among the physical machines. In addition, a dataset was developed to test different parameters and scenarios with the aim of assessing the effectiveness of the proposed EALBPSO algorithm in comparison with other algorithms already proposed in the literature for similar purposes. The experimental results demonstrated that the proposed algorithm was capable of saving up to 0.896%, 9.716%, and 10.8% energy compared with the MDPSO algorithm, Kumar et al.’s algorithm, and Dahsti and Rahmani algorithm, respectively, and also it showed 5.91%, 16%, and 16.267% improvements for the number of virtual machines migrations, and 3.867%, 8.623%, and 6.953% improvements for the deviation of processors, all compared with their competitors stated above, respectively.

This study focuses on formulating the most sustainable concrete by incorporating recycled concrete aggregates and other products retrieved from construction and demolition (C&D) activities. Both recycled coarse aggregates (RCA) and recycled fine aggregates (RFA) are firstly used to fully replace the natural coarse and fine aggregates in the concrete mix design. Later, the cement rich ultrafine particles, recycled glass powder and mineral fibres recovered from construction and demolition wastes (CDW) are further incorporated at a smaller rate either as cement substituent or as supplementary additives. Remarkable properties are noticed when the RCA (4–12 mm) and RFA (0.25–4 mm) are fully used to replace the natural aggregates in a new concrete mix. The addition of recycled cement rich ultrafines (RCU), Recycled glass ultrafines (RGU) and recycled mineral fibres (RMF) into recycled concrete improves the modulus of elasticity. The final concrete, which comprises more than 75% (wt.) of recycled components/materials, is believed to be the most sustainable and green concrete mix. Mechanical properties and durability of this concrete have been studied and found to be within acceptable limits, indicating the potential of recycled aggregates and other CDW components in shaping sustainable and circular construction practices. The authors wish to acknowledge the financial support from EU Horizon 2020 Project VEEP ‘‘Cost-Effective Recycling of C&DW in High Added Value Energy Efficient Prefabricated Concrete Compo-nents for Massive Retrofitting of our Built Environment” (No.723582).

AbstractIn this paper a complete vehicle system simulation tool chain which applies a Multi Objective Optimization (MOO) methodology for designing the Electric Powertrain (ePT) of Battery Electric Vehicles (BEV) is presented. Optimization scope includes all relevant electric powertrain components from battery, inverter, electric machine to gear box. In addition to cost, vehicle dynamics, energy consumption and range are further optimization targets. For an overall minimal system cost design a multiplicity of interactions between all powertrain components has to be taken into account. High system complexity prevents an expert to consider all relevant correlations without the support of numeric simulation tools. The presented simulation tool chain enables fast identification of the best cost/benefit trade off regarding system cost while considering all defined system performance requirements. The approach enables experts to find unconventional solutions which would have been overlooked applying a classical straight forward approach and, thus, helps to sharpen the expert's knowledge in cause-effect relationships on the system level. Typical use cases are given and illustrated by several practical examples.

Virus H5N1 thuộc chi virus cúm A, họ Orthomyxoviridae. Trong nhóm virus cúm A, H5N1 thuộc phân type có độc lực cao nhất, thường gây chết gia cầm hàng loạt và có khả năng lây sang người với dấu hiệu lâm sàng trầm trọng và tỷ lệ tử vong cao. Phương pháp phòng chống hiệu quả loại virus H5N1 là tiêm phòng vaccine. Vaccine cúm có hiệu quả cao và an toàn nhất hiện nay là vaccine được sản xuất bằng kỹ thuật di truyền ngược - cho phép thao tác với genome của virus, tái tạo hạt virus từ các cDNA tách dòng sau khi chuyển nạp vào tế bào động vật. Trong nghiên cứu này, chúng tôi đã tách dòng thành công sáu phân đoạn RNA (M, NP, NS, PA, PB1, PB2) của virus cúm vào vector pHW2000. Sáu plasmid tái tổ hợp khi kết hợp với plamid mang gen H5 và N1, biến nạp vào tế bào động vật sẽ là nguồn tái tạo chủng virus tái tổ hợp làm giống gốc cho sản xuất vaccine phòng chống cúm H5N1.

Mahalle; sosyal hayatın yerlilik vurgusu yapan, kültürel, ekonomik açıdan benzer insanları bir araya getiren yahut benzemeyenleri yakınlaştıran, aidiyet hissini mekânla özdeşleştiren dinamik unsurlarından biridir. Kenar mahalle de bu dinamiğin içinde ekonomik, kültürel, ahlaki açıdan ve dil bakımından çevrede kalan; merkezle oluşan uzak mesafeyi gösteren, gündelik hayatı ayrıntılarıyla yansıtan müesseselerindendir. Bu yönüyle kentleşme olgusunun somutlaştığı zamanlardan itibaren edebi eserlerin önemli mekânlarından ve sosyolojinin ilgilendiği alanlardan biri olmuştur. Hüseyin Rahmi Gürpınar, Türk edebiyatında kent kimliğinin henüz yerleştiği dönemlerden itibaren kenar mahalleleri eserlerine yansıtan romancılardan biridir. Yazar, kenar mahallelerin ve buradaki insanların görünümlerini yazma anının gerçeklerine uygun bir bakışla dile getirirken kurguyu da bu gerçeklikten yola çıkarak şekillendirir. Yazarın kenar mahallelerde geçen romanlarında kurgu ve kurgudaki çatışma unsurları, buralarda yaşamakla doğrudan ilgilidir. Dolayısıyla kenar mahalle, yazarın dünyasında yalnızca bir mekân unsuru olmanın ötesinde sınıf farklılığının, canlı ve renkli kent hayatının, yoksulluğun, alt kültür pratiklerinin görüldüğü gündelik hayat müessesesidir. Bu makalede üretken bir yazar olan Hüseyin Rahmi Gürpınar’ın kenar mahalleleri, buralardaki insanları ve hayatları yansıtma bağlamında temsil değeri olan 13 romanı incelenecektir. Kenar mahallelerin nasıl tasvir edildiği, buralarda yaşayan ve romanların kişi kadrosunu oluşturan insanların ele alınma biçimleri üzerinde durulacaktır. Yazarın romanlarında kenar mahalleleri ele almasının sebepleri üzerinde durulacaktır. Hüseyin Rahmi Gürpınar’ın kenar mahalleleri ve insanlarını bir sınıf sorunsalı olarak değerlendirip değerlendirmediği de sorgulanacaktır.