cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1ppzp1
title: CCDC 1570264: Experimental Crystal Structure Determination

description: Related Article: Nivedita Chaudhri, Nitika Grover, Muniappan Sankar|2018|Inorg.Chem.|57|6658|doi:10.1021/acs.inorgchem.8b00849
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q5tpd
title: CCDC 1584524: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Mikherdov, Mikhail A. Kinzhalov, Alexander S. Novikov, Vadim P. Boyarskiy, Irina A. Boyarskaya, Margarita S. Avdontceva, Vadim Yu. Kukushkin|2018|Inorg.Chem.|57|6722|doi:10.1021/acs.inorgchem.8b01027
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q5tqf
title: CCDC 1584525: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Mikherdov, Mikhail A. Kinzhalov, Alexander S. Novikov, Vadim P. Boyarskiy, Irina A. Boyarskaya, Margarita S. Avdontceva, Vadim Yu. Kukushkin|2018|Inorg.Chem.|57|6722|doi:10.1021/acs.inorgchem.8b01027
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q9vgb
title: CCDC 1588392: Experimental Crystal Structure Determination

description: Related Article: Honglei Liu, Hao Jia, Wangyu Shi, Chang Wang, Cheng Zhang, Hongchao Guo|2018|Org.Lett.|20|3570|doi:10.1021/acs.orglett.8b01354
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yt9vx
title: CCDC 1811790: Experimental Crystal Structure Determination

description: Related Article: Jin-Le Hou, Peng Huo, Zheng-Zhen Tang, Li-Na Cui, Qin-Yu Zhu, Jie Dai|2018|Inorg.Chem.|57|7420|doi:10.1021/acs.inorgchem.8b01050
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ytb47
title: CCDC 1811799: Experimental Crystal Structure Determination

description: Related Article: Xiaoze Bao, Shiqiang Wei, Xingkai Qian, Jingping Qu, Baomin Wang, Liwei Zou, Guangbo Ge|2018|Org.Lett.|20|3394|doi:10.1021/acs.orglett.8b01316
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ytb58
title: CCDC 1811800: Experimental Crystal Structure Determination

description: Related Article: Xiaoze Bao, Shiqiang Wei, Xingkai Qian, Jingping Qu, Baomin Wang, Liwei Zou, Guangbo Ge|2018|Org.Lett.|20|3394|doi:10.1021/acs.orglett.8b01316
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zsgbk
title: CCDC 1840759: Experimental Crystal Structure Determination

description: Related Article: Mark E Light|2018|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/d3sc6h2445.1
title: Data for: Influence of Second Outcome on Monetary Discounting

description: Participant individual k and h parameters estimated from 10-trial adjusting delay and probability discounting tasks.
DOI: 10.5517/ccdc.csd.cc1q5tl9
title: CCDC 1584521: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Mikherdov, Mikhail A. Kinzhalov, Alexander S. Novikov, Vadim P. Boyarskiy, Irina A. Boyarskaya, Margarita S. Avdontceva, Vadim Yu. Kukushkin|2018|Inorg.Chem.|57|6722|doi:10.1021/acs.inorgchem.8b01027
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q5tmb
title: CCDC 1584522: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Mikherdov, Mikhail A. Kinzhalov, Alexander S. Novikov, Vadim P. Boyarskiy, Irina A. Boyarskaya, Margarita S. Avdontceva, Vadim Yu. Kukushkin|2018|Inorg.Chem.|57|6722|doi:10.1021/acs.inorgchem.8b01027
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yvc7d
title: CCDC 1812794: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Mikherdov, Mikhail A. Kinzhalov, Alexander S. Novikov, Vadim P. Boyarskiy, Irina A. Boyarskaya, Margarita S. Avdontceva, Vadim Yu. Kukushkin|2018|Inorg.Chem.|57|6722|doi:10.1021/acs.inorgchem.8b01027
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yw2yv
title: CCDC 1813498: Experimental Crystal Structure Determination

description: Related Article: Rupak Saha, Aloke Kumar Ghosh, Rudra Narayan Samajdar, Partha Sarathi Mukherjee|2018|Inorg.Chem.|57|6540|doi:10.1021/acs.inorgchem.8b00668
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yw2zw
title: CCDC 1813499: Experimental Crystal Structure Determination

description: Related Article: Rupak Saha, Aloke Kumar Ghosh, Rudra Narayan Samajdar, Partha Sarathi Mukherjee|2018|Inorg.Chem.|57|6540|doi:10.1021/acs.inorgchem.8b00668
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yxwh7
title: CCDC 1815220: Experimental Crystal Structure Determination

description: Related Article: Yue Li, Ying Dong, Yong-Liang Wei, Jing-Jing Jv, Yun-Qi Chen, Jian-Ping Ma, Jia-Jia Yao, Yu-Bin Dong|2018|Organometallics|37|1645|doi:10.1021/acs.organomet.8b00195
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yyxd6
title: CCDC 1816209: Experimental Crystal Structure Determination

description: Related Article: Lorenzo Biancalana, Lucinda K. Batchelor, Tiziana Funaioli, Stefano Zacchini, Marco Bortoluzzi, Guido Pampaloni, Paul J. Dyson, Fabio Marchetti|2018|Inorg.Chem.|57|6669|doi:10.1021/acs.inorgchem.8b00882
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.14457/tu.the.2017.216
title: Examining different classes of plants under various operating conditions for bioelectricity production in plant microbial fuel cell

description: Climate change and food security are burning topics being discussed nowadays. To mitigate impact of fossil fuels, different kinds of alternative sources of energy have been researched and applied in the last decade. Generation of electricity from living plants has been evolved as a new kind of renewable source of energy known as plant microbial fuel cell (PMFC). This thesis embodies investigation of four different types of plants varied in their morphological and physiological traits accompanied with various operating conditions in PMFC system. The result reveals that plant types, support medium, configuration, and physical parameters are the drivers for electricity generation in PMFC. In the first experiment, while comparing the double chamber paddy microbial fuel cell with earthen material as a separator with traditional sediment MFC one, the former one outnumbered the performances of the latter one in terms of power generation. The main favorable conditions identified in this experiment were growth stages and volume of catholyte. In the second experiment, paddy was grown in single chamber mimicking the real field condition in terms of design and soil used. The nature of electric signal from sediments and plants were compared. Moreover, to know the effect of substrate addition, reactors were amended with Azolla which generated almost three times current than non-amended reactors. In the third experiment, hydroponic plant morning glory was assessed in stackable double chamber PMFC to determine the role of plant at anode vs cathode chamber. In the fourth experiment, long term ability of power generation from two plants, tomato and vetiver were investigated.  Nature of in-situ electricity signal were determined. In this study, plant growth nature and vitality were carefully observed since it altered power output. Moreover, two types of plant performed differently under the same design. Taking account of all factors, maximum power depicted from polarization curve was normalized to anode area which was used to compare system performances. Overall, the results revealed that marshy grasses like vetiver is an ideal plant for long term performances which is devoid of reproductive phase, food crops like rice is influenced greatly by its growth stages in bioenergy harvest, and hydroponics plant like water spinach is limited by root exudates and oxygen released through roots. Double chamber enhances the performances efficiently as compared to a single chamber configuration. This study concluded that each system should be designed based upon physiological and morphological traits of plants. To interpret all the factors underlying for PMFC performance, biosystem principle is proposed. A new paradigm of trios’ assessment of plant, soil and microbes’ health has been proposed for future research.
DOI: 10.14457/tu.the.2017.217
title: Rural electrification planning for Prasat Sambour District, Cambodia

description: Electricity is a basic need of people around the world. In developing countries, a shortage of rural electrification is the main obstacle for social-economic development. Cambodia is one of the countries in Southeast Asia, which was afflicted by war over several decades. All sectors were damaged by war, especially the electric utility sector. After the war, the electricity sector in the country has been dependent on fossil fuel generation. The Cambodian government has a policy to provide all villages in Cambodia access to electricity of some type by 2020. Moreover, by the year 2030, the government expects that 70% of households will have access to power quality grid connections. However, since 80% of the population live in rural areas, this goal is quite challenging. So far, some large-scale hydro and coal-fired power plants have been built to fulfill the demand. But it will take a few more years for the rural areas, to be directly connected with national quality grid systems. Renewable energy, which is defined as a clean and environmentally-friendly energy, is a good option to cope with this matter. This research presents appropriate options for rural electrification in Cambodia. HOMER is used as a techno-economic analysis software program. Prasat Sambour is the selected district in this study. Six scenarios have been studied which include both off-grid and on-grid options. These comprise diesel-only; PV with battery; diesel/PV with battery; grid only, grid with PV, and grid/PV with battery systems. The study gives an overview of the future energy development plan in the district as well as promoting the utilization of renewable energy. In addition, it also provides the rural community access to better living conditions with affordable and reliable electricity energy supply, thereby supporting the target of the royal government of Cambodia that all villages be electrified by the year 2020.
DOI: 10.14457/tu.the.2017.218
title: Hybrid support vector regression for short term electricity load forecasting

description: The target of this research is to enhance the daily load demand and reduce the error of forecasting in Thailand. Electricity load forecasting presents a core part of the power industry. However, it can be seen that electricity load demand demonstrates non-linear nature and distinct seasonal pattern. In the case of complex the non-linear problem, Support Vector Regression (SVR) is a well-known technique applying forecasting area due to the literature review. Therefore, SVR and three optimization techniques: Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Bayesian Optimization (BO) are proposed to forecast electricity load demand. The data set has 48 periods in one day which has been gathered every 30 minutes for 24 hours from the Electricity Generating Authority of Thailand (EGAT). The electricity load demand, which starts from 2012 (January) to 2017 (July) are used in this research. As it has the seasonal load pattern, window-based data cleaning technique is applied to filter the data. The attributes of the model are yesterday load, previous week the same day load, forecasted day temperature, yesterday temperature, day of week and month of year. The performance of forecasting model is utilized by mean absolute percentage error (MAPE). The performance of Bayesian Optimization is better than other three techniques according to monthly average MAPE.
DOI: 10.14457/tu.the.2017.219
title: A 2D field-consistent rational Bezier beam element for large displacement analysis

description: Large displacement analysis of beams has been investigated extensively during the past decades. Many beam element formulations have been studied and proposed for this purpose. The efficiency is gradually improved in such a way that later beam elements are capable of giving better accuracies by using smaller numbers of degrees of freedom. This subsequently results in saving of time and effort needed in large displacement analysis of beams. In this study, a new 2D field-consistent Bézier beam element for large displacement analysis is proposed. The interpolation functions of the proposed element are constructed by using a rational Bézier curve to represent the geometry of the element. The interpolation functions are constructed in such a way that the consistency among the unknown fields is obtained. The formulation of the proposed element is based on the total Lagrangian description. A rational Bézier curve is used instead of polynomials in order that complex configurations of beams can be accurately reproduced using small numbers of elements. The employed field-consistent interpolations increase the performance of the element and remove the problem of shear locking. The proposed beam element is tested by several benchmark problems and the results are found to be satisfactory.
DOI: 10.14457/tu.the.2017.222
title: A simplest circuit for the highest complexity of 4D minimum-seven-term no-equilibrium hyperchaos with global (hidden) attractors, and a simple 4D two-transistor chaotic circuit

description: The thesis consists of two main parts. In the first part, a new simple four-dimensional (4D) two-transistor chaotic oscillator is proposed using two sub-circuits, i.e. a modified single-transistor Colpitts oscillator, and another single-transistor sub-circuit for the fourth dimension. The circuit is much simpler than two existing 4D two-transistor chaotic circuits, as it has only nine electronic components and only eleven algebraic terms in the state equation. The latter includes only three terms of nonlinearity. The circuit offers the largest Lyapunov exponent of 0.3232, which is much higher than those of the two existing 4D two-transistor chaotic circuits. The Lyapunov dimension is also identified at 3.0807. Synchronization through active control is demonstrated as a practical example of possible applications for chaos-based secure communications.In the second part, a new 4D system with minimum 7 algebraic terms is proposed in a category of 4D minimum-7-term no-equilibrium hyperchaos. The system offers 11 concurrent advantages: (i) the simplest circuit of the category with 21 components, (ii) the highest complexity of the category with the Lyapunov dimension of 3.2633, (iii) the highest chaoticity of the category with the largest Lyapunov exponent of 0.2944, (iv) 2 minimum terms of nonlinearity of the category, (v) robust hyperchaos, (vi) a large area of robust hyperchaos, (vii)  hyperchaotic, chaotic and periodic attractors are possible, (viii) attractors are hidden attractors, (ix) attractors are global (hidden) attractors, (x) no potential danger of multistability, and (xi) a boostable variable is demonstrated. All 11 advantages enable the proposed circuit and system to be better than or comparable to others in the same category.
DOI: 10.5517/ccdc.csd.cc1ntktv
title: CCDC 1543918: Experimental Crystal Structure Determination

description: Related Article: Beesam Raghavendra, P. V. S. Shashank, Madhusudan K. Pandey, N. Dastagiri Reddy|2018|Organometallics|37|1656|doi:10.1021/acs.organomet.8b00017
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntkwx
title: CCDC 1543920: Experimental Crystal Structure Determination

description: Related Article: Beesam Raghavendra, P. V. S. Shashank, Madhusudan K. Pandey, N. Dastagiri Reddy|2018|Organometallics|37|1656|doi:10.1021/acs.organomet.8b00017
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntkz0
title: CCDC 1543923: Experimental Crystal Structure Determination

description: Related Article: Beesam Raghavendra, P. V. S. Shashank, Madhusudan K. Pandey, N. Dastagiri Reddy|2018|Organometallics|37|1656|doi:10.1021/acs.organomet.8b00017
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntl46
title: CCDC 1543928: Experimental Crystal Structure Determination

description: Related Article: Beesam Raghavendra, P. V. S. Shashank, Madhusudan K. Pandey, N. Dastagiri Reddy|2018|Organometallics|37|1656|doi:10.1021/acs.organomet.8b00017
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1z22kp
title: CCDC 1819252: Experimental Crystal Structure Determination

description: Related Article: Kun-Lun Cheng, Wen-Li Yuan, Ling He, Ning Tang, Hong-Mei Jian, Ying Zhao, Song Qin, Guo-Hong Tao|2018|Inorg.Chem.|57|6376|doi:10.1021/acs.inorgchem.8b00435
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1z22lq
title: CCDC 1819253: Experimental Crystal Structure Determination

description: Related Article: Kun-Lun Cheng, Wen-Li Yuan, Ling He, Ning Tang, Hong-Mei Jian, Ying Zhao, Song Qin, Guo-Hong Tao|2018|Inorg.Chem.|57|6376|doi:10.1021/acs.inorgchem.8b00435
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.