The Diş Kayalıkları is one of the largest and most striking examples of crests in the world and is located between Eskidere and Boğazören villages of the İmranlı district of the Sivas province in Turkey. The cres...The Diş Kayalıkları is one of the largest and most striking examples of crests in the world and is located between Eskidere and Boğazören villages of the İmranlı district of the Sivas province in Turkey. The crests, which resemble castle walls when viewed from afar, have a real wall pattern due to the right-angled crack system of the bedrock when viewed closely. This study aims at investigating the geomorphological features of the Diş Kayalıkları and determining how the geological and geomorphological evolution of the Diş Kayalıkları took place and how the current formation mechanism continues. In the region, the mid-latitude continental climate prevails with cold humid winters and warm dry summers. The bedrock consists of Miocene bedded deposits of different resistance, folded by young tectonic movements. Diş Kayalıkları was formed by selective erosion of less resistant terrain around a pack of resistant rock on the steeper southern slope of an asymmetrical anticline. It has a length of 4750 m in the approximately northwest-southeast direction, a maximum height of 30 m, and a width varying between 5 and 8 m. In the present morphological appearance of the Diş Kayalıkları, it can be stated that the structure formed after the tectonic formation process was eroded under the control of the local climate and crest formation was realized. In the following process, the crest experienced a polycyclic process where different landforms were formed. There are smaller landforms such as karren, cave and rock window on Diş Kayalıkları, and macrofossil beds in some places. This highly attractive geomorphosite, unknown to wider public, should be investigated from various scientific aspects and should be brought to regional tourism by making the necessary infrastructure and promotion studies.展开更多
随着大数据、人工智能等先进科技技术的应用,新零售业态涌现,加速推动了生鲜零售业态结构的优化升级。文章以盒马为例,结合SIVA营销理论以及SWOT分析框架,对其营销策略优化途径进行探讨。研究发现盒马凭借阿里巴巴集团的技术与资源优势...随着大数据、人工智能等先进科技技术的应用,新零售业态涌现,加速推动了生鲜零售业态结构的优化升级。文章以盒马为例,结合SIVA营销理论以及SWOT分析框架,对其营销策略优化途径进行探讨。研究发现盒马凭借阿里巴巴集团的技术与资源优势,以线上线下一体化、供应链精益重构和产品业态多元互补等方式,迅速抢占市场份额,构筑差异化竞争优势。但还面临着生鲜产品保鲜成本较高、末端配送效益差、门店扩张成本攀升等企业劣势,同时也受到胖东来等商超品牌效应的冲击和美团优选、多多买菜等平台的低价竞争威胁。针对上述问题,本研究从产品、价格、渠道和促销四个维度提出了优化建议,希望能够提升盒马的营销转化率,对其他生鲜电商平台的发展也能起到一定参考意义和借鉴。New retail formats are emerging as a result of the use of big data, artificial intelligence, and other cutting-edge technology, which is speeding up the optimization and modernization of these formats’ structures. In order to maximize its marketing strategy, this article examines the SIVA marketing theory and SWOT analysis framework using Freshippo as an example. Based on the technological and resource advantages of Alibaba Group, the study discovered that Freshippo swiftly gained market share and established unique competitive advantages through the use of lean supply chain reconstruction, online and offline integration, and a variety of complementary product formats. However, it also has corporate disadvantages like high fresh product preservation costs, inefficient terminal distribution, and growing store expansion costs. At the same time, it is also impacted by the low-price competitive threat of Meituan Preferred and Duoduo Buy Food platforms, as well as the brand influence of supermarkets like Pang Donglai. Given the aforementioned issues, this study proposes product, price, channel and promotion of the four dimensions optimization recommendations in an effort to raise Freshippo’s marketing conversion rate. These recommendations may also serve as a point of reference for the creation of additional innovative e-commerce platforms.展开更多
近日,天津水泥院有限公司与VOTORANTIM集团土耳其子公司VOTORANTIM CIMENTO SANAYI VE TICARET A.S.,在西班牙马德里签署了日产4500吨水泥生产线EP项目的正式合同。该项目是继土耳其Tracim项目后第二个打入土耳其市场的合同。该项目位...近日,天津水泥院有限公司与VOTORANTIM集团土耳其子公司VOTORANTIM CIMENTO SANAYI VE TICARET A.S.,在西班牙马德里签署了日产4500吨水泥生产线EP项目的正式合同。该项目是继土耳其Tracim项目后第二个打入土耳其市场的合同。该项目位于土耳其中北部锡瓦斯省,离首都安卡拉500多公里。展开更多
Risk quantification in grade is critical for mine design and planning.Grade uncertainty is assessed using multiple grade realizations,from geostatistical conditional simulations,which are effective to evaluate local o...Risk quantification in grade is critical for mine design and planning.Grade uncertainty is assessed using multiple grade realizations,from geostatistical conditional simulations,which are effective to evaluate local or global uncertainty by honouring spatial correlation structures.The sequential Gaussian conditional simulation was used to assess uncertainty of grade estimates and illustrate simulated models in Sivas gold deposit,Turkey.In situ variability and risk quantification of the gold grade were assessed by probabilistic approach based on the sequential Gaussian simulations to yield a series of conditional maps characterized by equally probable spatial distribution of the gold grade for the study area.The simulation results were validated by a number of tests such as descriptive statistics,histogram,variogram and contour map reproductions.The case study demonstrates the efficiency of the method in assessing risk associated with geological and engineering variable such as the gold grade variability and distribution.The simulated models can be incorporated into exploration,exploitation and scheduling of the gold deposit.展开更多
基金supported by the Scientific Research Projects Coordination Unit of Ondokuz May?s University with the project number PYO.FEN.1902.21.001。
文摘The Diş Kayalıkları is one of the largest and most striking examples of crests in the world and is located between Eskidere and Boğazören villages of the İmranlı district of the Sivas province in Turkey. The crests, which resemble castle walls when viewed from afar, have a real wall pattern due to the right-angled crack system of the bedrock when viewed closely. This study aims at investigating the geomorphological features of the Diş Kayalıkları and determining how the geological and geomorphological evolution of the Diş Kayalıkları took place and how the current formation mechanism continues. In the region, the mid-latitude continental climate prevails with cold humid winters and warm dry summers. The bedrock consists of Miocene bedded deposits of different resistance, folded by young tectonic movements. Diş Kayalıkları was formed by selective erosion of less resistant terrain around a pack of resistant rock on the steeper southern slope of an asymmetrical anticline. It has a length of 4750 m in the approximately northwest-southeast direction, a maximum height of 30 m, and a width varying between 5 and 8 m. In the present morphological appearance of the Diş Kayalıkları, it can be stated that the structure formed after the tectonic formation process was eroded under the control of the local climate and crest formation was realized. In the following process, the crest experienced a polycyclic process where different landforms were formed. There are smaller landforms such as karren, cave and rock window on Diş Kayalıkları, and macrofossil beds in some places. This highly attractive geomorphosite, unknown to wider public, should be investigated from various scientific aspects and should be brought to regional tourism by making the necessary infrastructure and promotion studies.
文摘随着大数据、人工智能等先进科技技术的应用,新零售业态涌现,加速推动了生鲜零售业态结构的优化升级。文章以盒马为例,结合SIVA营销理论以及SWOT分析框架,对其营销策略优化途径进行探讨。研究发现盒马凭借阿里巴巴集团的技术与资源优势,以线上线下一体化、供应链精益重构和产品业态多元互补等方式,迅速抢占市场份额,构筑差异化竞争优势。但还面临着生鲜产品保鲜成本较高、末端配送效益差、门店扩张成本攀升等企业劣势,同时也受到胖东来等商超品牌效应的冲击和美团优选、多多买菜等平台的低价竞争威胁。针对上述问题,本研究从产品、价格、渠道和促销四个维度提出了优化建议,希望能够提升盒马的营销转化率,对其他生鲜电商平台的发展也能起到一定参考意义和借鉴。New retail formats are emerging as a result of the use of big data, artificial intelligence, and other cutting-edge technology, which is speeding up the optimization and modernization of these formats’ structures. In order to maximize its marketing strategy, this article examines the SIVA marketing theory and SWOT analysis framework using Freshippo as an example. Based on the technological and resource advantages of Alibaba Group, the study discovered that Freshippo swiftly gained market share and established unique competitive advantages through the use of lean supply chain reconstruction, online and offline integration, and a variety of complementary product formats. However, it also has corporate disadvantages like high fresh product preservation costs, inefficient terminal distribution, and growing store expansion costs. At the same time, it is also impacted by the low-price competitive threat of Meituan Preferred and Duoduo Buy Food platforms, as well as the brand influence of supermarkets like Pang Donglai. Given the aforementioned issues, this study proposes product, price, channel and promotion of the four dimensions optimization recommendations in an effort to raise Freshippo’s marketing conversion rate. These recommendations may also serve as a point of reference for the creation of additional innovative e-commerce platforms.
文摘近日,天津水泥院有限公司与VOTORANTIM集团土耳其子公司VOTORANTIM CIMENTO SANAYI VE TICARET A.S.,在西班牙马德里签署了日产4500吨水泥生产线EP项目的正式合同。该项目是继土耳其Tracim项目后第二个打入土耳其市场的合同。该项目位于土耳其中北部锡瓦斯省,离首都安卡拉500多公里。
文摘Risk quantification in grade is critical for mine design and planning.Grade uncertainty is assessed using multiple grade realizations,from geostatistical conditional simulations,which are effective to evaluate local or global uncertainty by honouring spatial correlation structures.The sequential Gaussian conditional simulation was used to assess uncertainty of grade estimates and illustrate simulated models in Sivas gold deposit,Turkey.In situ variability and risk quantification of the gold grade were assessed by probabilistic approach based on the sequential Gaussian simulations to yield a series of conditional maps characterized by equally probable spatial distribution of the gold grade for the study area.The simulation results were validated by a number of tests such as descriptive statistics,histogram,variogram and contour map reproductions.The case study demonstrates the efficiency of the method in assessing risk associated with geological and engineering variable such as the gold grade variability and distribution.The simulated models can be incorporated into exploration,exploitation and scheduling of the gold deposit.
