This paper explores the impact of furniture and machines on spatial organization and circulation systems in industrial buildings using space syntax analysis. While space syntax research covers various settings, industrial buildings have received limited attention. This study aims to address this gap by examining how machines and furniture influence spatial organization and circulation in two industrial buildings: A Nitrile Glove manufacturing facility and a textile manufacturing factory. The furnished and unfurnished floor plans were analyzed using space syntax software, DepthMapX, with (...) connectivity and agent-based analyses. The results indicate that unfurnished plans have centrally located connectivity values, whereas furnished plans create subspaces with varying connectivity. Agent-based analysis reveals that unfurnished spaces have high density in the center, while furnished spaces distribute density more evenly, resulting in more uniform circulation. This study concludes that industrial building spatial configurations result from a combination of architectural design and the placement of machines and furniture. (shrink)

Recent psychological research shown that the places where we live are linked to our personality traits. Geographical aggregation of personalities has been observed in many individualistic nations; notably, the mountainousness is an essential component in understanding regional variances in personality. Could mountainousness therefore also explain the clustering of personality-types in collectivist countries like China? Using a nationwide survey (29,838 participants) in Mainland China, we investigated the relationship between the Big Five personality traits and mountainousness indicators at the provincial level. Multilevel (...) modelling showed significant negative associations between the elevation coefficient of variation (Elevation CV) and the Big Five personality traits, whereas mean elevation (Elevation Mean) and the standard deviation in elevation (Elevation STD) were positively associated with human personalities. Subsequent machine learning analyses showed that, for example, Elevation Mean outperformed other mountainousness indicators regarding correlations with neuroticism, while Elevation CV performed best relative to openness models. Our results mirror some previous findings, such as the positive association between openness and Elevation STD, while also revealing cultural differences, such as the social desirability of people living in China’s mountainous areas. (shrink)

examines Hegel’s analysis of honor and recognition in the chivalric culture, and contrasts that to the xia tradition’s engagement with Buddhism, Daoism, Confucianism, and Chinese Legalism.

The three great sovereigns of ancient Chinese history, which have subsumed almost nine centuries before Common Era, referred to Xia (2070-1600 BC), Shang (1600-1046 BC) and Zhou (1046- 256 BC) dynasties. The people of Shang, who represented the transition from a primitive to a civilized continuum with the invention of writing, were exposed to social stratification due to the self-interests of courtiers indulging in superstitions, relying on prophecy and necromancy. As a result of this stratification, the first examples of class (...) discrimination and hierarchical organization that divided national subjects into ranks, bestowing a privilege on the noble class, occurred. The Shang period has been implied as a process that, on one hand, continued the tradition of ancestral cults initiated by the Xia family, who founded the first official dynasty, but, on the other hand, humiliated the people in terms of status since the rulers who ascended the throne equated themselves with a divine power. The fact that the Shang rulers appropriated the rituals which took place under the name of deference during the Xia period escalated the belief of ancestral spirits’ belonging to heaven into another belief. Thus, the enslavement of those who did not belong to noble blood by forcing them into obedience to the dynasty has revealed an issue that should not be ignored. The Shang rulers, who divided the national subjects outside the noble class considering their mission, position, profession, and demotion, also classified the slaves in the service of the dynasty considering punishments, rules, and sanctions that they determined. Despite this truth, divergences among Chinese researchers underlie the dichotomy whether slavery existed in China. But if the classical texts are examined in detail, it can be sort out that slavery became prevalent in the Shang period and the dynasty was destroyed owing to the tyrannical governance policy of the rulers. In this study, it will be argued that slavery was experienced in early China society based on the idea of private property by discussing class discrimination and hierarchical organization leading Chinese bureaucracy. (shrink)

This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; Plithogeny; (...) Information Fusion; Statistics; Decision Making; Extenics; Instantaneous Physics; Paradoxism; Mathematica; Miscellanea), comprising 965 pages, published between 2005-2022 in different scientific journals, by the author alone or in collaboration with the following 110 co-authors (alphabetically ordered) from 26 countries: Abduallah Gamal, Sania Afzal, Firoz Ahmad, Muhammad Akram, Sheriful Alam, Ali Hamza, Ali H. M. Al-Obaidi, Madeleine Al-Tahan, Assia Bakali, Atiqe Ur Rahman, Sukanto Bhattacharya, Bilal Hadjadji, Robert N. Boyd, Willem K.M. Brauers, Umit Cali, Youcef Chibani, Victor Christianto, Chunxin Bo, Shyamal Dalapati, Mario Dalcín, Arup Kumar Das, Elham Davneshvar, Bijan Davvaz, Irfan Deli, Muhammet Deveci, Mamouni Dhar, R. Dhavaseelan, Balasubramanian Elavarasan, Sara Farooq, Haipeng Wang, Ugur Halden, Le Hoang Son, Hongnian Yu, Qays Hatem Imran, Mayas Ismail, Saeid Jafari, Jun Ye, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Abdullah Kargın, Vasilios N. Katsikis, Nour Eldeen M. Khalifa, Madad Khan, M. Khoshnevisan, Tapan Kumar Roy, Pinaki Majumdar, Sreepurna Malakar, Masoud Ghods, Minghao Hu, Mingming Chen, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohamed Loey, Mihnea Alexandru Moisescu, Muhammad Ihsan, Muhammad Saeed, Muhammad Shabir, Mumtaz Ali, Muzzamal Sitara, Nassim Abbas, Munazza Naz, Giorgio Nordo, Mani Parimala, Ion Pătrașcu, Gabrijela Popović, K. Porselvi, Surapati Pramanik, D. Preethi, Qiang Guo, Riad K. Al-Hamido, Zahra Rostami, Said Broumi, Saima Anis, Muzafer Saračević, Ganeshsree Selvachandran, Selvaraj Ganesan, Shammya Shananda Saha, Marayanagaraj Shanmugapriya, Songtao Shao, Sori Tjandrah Simbolon, Florentin Smarandache, Predrag S. Stanimirović, Dragiša Stanujkić, Raman Sundareswaran, Mehmet Șahin, Ovidiu-Ilie Șandru, Abdulkadir Șengür, Mohamed Talea, Ferhat Taș, Selçuk Topal, Alptekin Ulutaș, Ramalingam Udhayakumar, Yunita Umniyati, J. Vimala, Luige Vlădăreanu, Ştefan Vlăduţescu, Yaman Akbulut, Yanhui Guo, Yong Deng, You He, Young Bae Jun, Wangtao Yuan, Rong Xia, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Zayen Azzouz Omar, Xiaohong Zhang, Zhirou Ma.‬‬‬‬‬‬‬‬. (shrink)