Big Space Research Articles

Industrial Information Integration in Deep Space Exploration and Exploitation: Architecture and Technology

Recently, China and the United States have achieved remarkable success in aerospace science and technology over the years. Space has become another field of competition in the technological advancement of various countries. Through space missions, space tourism, moon and Mars exploration, China and the United States can demonstrate the sophistication of their technologies to the public and audiences around the world. Despite the competitiveness between the big countries, space missions and deep space exploration and exploitation have provided a lot of deep and orbital space information that is beneficial not only for the next space mission but also for enhancing technological development for other domestic uses. Therefore, space industrial information integration (III), or Space III, connecting IoT to form the Internet of Planets, is critically important for deep space explorations. However, few articles have reviewed the existing technologies of space. We are one of the few groups to perform an extensive review, research the space explorations and divide the space information integration systematically based on the information architecture and technologies in the space industries. In this paper, we propose that III can be divided into three different architectures: data, technology, and application, whereas space technology can be divided into six areas. This review is important not only in formulating research in technological integration but also in determining the proposed architecture to facilitate a further extension of applications to large-scale and complex problems in the space industries in the future.

A theoretical and numerical analysis of solar chimney in multi-storey atrium building

Current research efforts on solar chimney are much on those configurations with single space or single vent, hampering its applications in complex buildings. To expand its implementation, the viability of solar chimney in multi-storey atrium buildings was explored numerically and theoretically. It was known that its natural ventilation performance can fulfil the WHO requirements (i.e., 6 air change per hour, ACH) even under low solar radiation of 200 W/m2 if it is appropriately designed, such as cavity gap (d), cavity height (Hc), solar radiation (Q), and window width (W). Its natural ventilation rate was found to be positively linear to the exponential form of the analyzed factors in this study, including cavity gap (d0.63∼0.69), cavity height (Hc0.59∼0.60), solar radiation (Q0.42∼0.43), and window width (W0.14∼0.20). The impacts of cavity gap and solar radiation are relatively weaker for big space such as atrium than those scenarios with single-space ventilation in the literature. The volume of the connected space was found to affect its natural ventilation performance, where the obtained ventilation rate of 4-storey is averagely 5.1 % lower than those of 3-storey buildings. A theoretical model was developed and experimentally validated, for the first time, to predict the natural ventilation rate of solar chimney when it is applied to the atrium with multiple air inlets. It was also noticed that the same theoretical model can be applied to the atrium buildings with odd and even storeys, but the area coefficients are different. The research outcomes of this study confirm the viability of solar chimney in complex buildings and offer a theoretical foundation for its implementation.

Absolute phase retrieval based on spatial ternary phase coding with circular fringe projection

Fringe projection profilometry (FPP) based on temporal phase unwrapping (TPU) plays a vital role due to its high precision and fast speed in three-dimensional (3D) measurements. However, a fundamental contradiction arises between the necessity for numerous auxiliary patterns and the goal of enhancing measurement efficiency, particularly when ensuring a big codeword space for fringe order. Thus, a spatial ternary phase coding (STPC) method is proposed, which achieves a big codeword space by projecting just one auxiliary coding pattern while ensuring a robust decoding. By equally dividing each fringe period into several segments, ternary coding of fringe order is accomplished using an arccosine operation to code three distinct phase values within each segment. Meanwhile, circular grating is adopted due to its excellent performance in phase sensitivity, which offers a higher measuring accuracy in 3D reconstruction. Accordingly, a robust TPU is achieved by combining the introduced phase unwrapping scheme and the circle center-cosine theorem (CCCT) strategy. Furthermore, high-efficiency measurements are attained through projecting three phase-shifting circular gratings and one STPC grating, rendering it suitable for real-time measurements. Experimental results with various static objects and real-time scene demonstrate the feasibility and validity of the proposed method.

The Image of the New Johar Market – Aloon-Aloon District, Semarang

Revitalization efforts showed a “new image”, namely as a resilient economic area, able to withstand environmental changes, safe and comfortable, which was part of sustainable development in urban areas. Semarang has been a trading city since the colonial era. One of the famous trading areas in Semarang is the Johar market district. The district has historical value. Up to now, this area is the largest traditional market in Semarang city. The Johar market building is one of the cultural heritage buildings in Semarang. There was such a big open space called Aloon-Aloon, near the Johar market. A big mosque, Kauman Grand Mosque, lies near the open space. The open space and the mosque have historical value in Semarang’s socio-cultural life. In May 2015, a big fire destroyed the buildings of Johar and Yaik markets. The building was reconstructed and renovated becoming a new Johar Market. In accordance with Aloon-Aloon’s concept, the former Yaik Market site was returned to be a public open space adapting to the current environmental and social conditions of society. In early 2022, the new market and the new public open space have been operated. This paper aims to describe images of the new Johar and Aloon-Aloon district. The paper implements a qualitative descriptive method for describing the current condition and using the theory of place related to the image of the district. The analysis utilizes pictures, and diagrams and is supported by the interview with the stakeholders. The results are a description of the new Johar – Aloon-Aloon district.

Folk Art as Social Practice and Harmonization: A Case of Buto Birowo Folk Art

Buto Birowo is a form of performing art coming from rural area. The proponents tend to have homogeneous livelihood, education level, and social-economic status. As a performing art, it is a part of social practice undertaken by Lencoh people that accomodates the relation between modern, traditional, Islamic, and spiritual values. In Buto Birowo performance, the relation between actors and spectators occurs not only on the stage, but also in the activities related to the preparation of show, the collection of fund for purchasing costumes, the preparation of consumption for practicing activities, etc.Buto Birowo alsoimplies the religious and cultural dialectic process occuring naturally and intensely within community, particularly in Javanese rural people. This research used a qualitative research method with constructive-critical approach. This methodis implemented to construct knowledge based on Lencoh people’s thought in their participation in initiating the performing art. As a big cultural space, Lencoh Hamlet also consists of partial spaces encircled by agent activities and movements. In the context of Buto Birowo performing art, the agents move in the domains or spaces where the Buto Birowo performing art practice is created. The agents are holding a meeting to discuss the show, the practice to prepare the show is conducted in Art Association domain, while the Buto Birowo performing art show is held in Lencoh Hamlet domain publicly.The use of Boal’s theory in this research is not an sich spectator involved on the stage or performance venue, but involved in the process of initiating performance and the social context underlying the text of Buto Birowo performance.

An Adaptive Framework for Regenerative Agriculture based on Environmental Management

Introduction The scope of implementing innovative research findings aimed at sustainable development goals seems to be inherently limited by economic and social acceptance, despite their technical efficacy. There exists a huge demand for coordinated efforts to mitigate the negative impacts of the so-called ‘development’ activities that are tampering with the very existence of humanity, natural resources, and the environment. Agriculture, though historically the first and foremost occupation of humans, has always been intrigued by nature at the cost of natural calamities and uncertainties in ensuring the availability and timely distribution of essential resources. In the modern context of water-energy-food paradigms, the agriculture sector can play a pivotal role in bolstering the state economy in multifaceted ways by assuming the adaptability of recent scientific advancements to the core functional attributes of sustainability. In this scenario, the concept of regenerative agriculture can be better understood as a holistic, self-adaptive, and integrated approach towards not only bringing about a revolutionary breakthrough in agricultural productivity but also providing a retroactive and reconstructive strategy for minimizing the inevitable consequences of destructive developments. An organized, synthesized approach in this direction would certainly culminate in fabricating close-connected, supportive interlinking pathways for related fields of science and technology to make them more beneficial towards the responsible productivity expected from the agriculture sector [1].The prospects of environmental research have established a close interlink with the agriculture sector, mainly through the attributes of material, energy, and living species. It is envisaged that the environment is a bigger space with multiple spheres of activity, while agriculture comprises a smaller sect with limited but well-defined interactions with the environment [2]. Even though it is generally accepted that most of these interactions (such as soil quality and crop growth, water requirement and crop selection, raining pattern and cropping seasons, etc.) are mutually directed, one could perceive them as if initially driven by agricultural activities. However, there are some other interactions where environmental attributes are driving agricultural activities and outputs [3-5]. Most of these interactions are, nonetheless, subtle and complex, and little is known about their individual lead roles. Hence, it is important to identify the specific attributes of some of the well-known interactions and look for the key drivers towards addressing the original problem of agriculture and sustainability.A dynamic interaction between agriculture and environment is observed to be well-reinstated through the simultaneous existence and exchanges of the energy, materials and activities (Figure 1). It is, however, expected that a compensating step is essential to redirect (or push forward) such exchanges without creating adverse environmental impacts as well as agricultural losses.List of About the Conference, Conference Model, Publication of the Proceedings, Proceedings Editors, Technical Advisory Committee are available in this Pdf.

An Efficient Information Extraction Mechanism with Page Ranking and a Classification Strategy based on Similarity Learning of Web Text Documents

Users have recently had more access to information thanks to the growth of the www information system. In these situations, search engines have developed into an essential tool for consumers to find information in a big space. The difficulty of handling this wealth of knowledge grows more difficult every day. Although search engines are crucial for information gathering, many of the results they offer are not required by the user because they are ranked according on user string matches. As a result, there were semantic disparities between the terms used in the user inquiry and the importance of catch phrases in the results. The problem of grouping relevant information into categories of related topics hasn't been solved. A Ranking Based Similarity Learning Approach and SVM based classification frame work of web text to estimate the semantic comparison between words to improve extraction of information is proposed in the work. The results of the experiment suggest improvisation in order to obtain better results by retrieving more relevant results.

Effects of Threshing Devices, Maize Varieties and Moisture Content of Grains on the Percentage of Maize Grains Broken in Harvesting

Maize is one of the most important economic crops in the world. The integrity of maize grains directly affects the economic value of the maize as a main commodity that depends on the percentage of grains broken (POGB) in mechanized harvesting. Decreasing grain processing breakage is key to achieving mechanical harvesting with high quality. It is difficult to ensure a low POGB, because it depends on different maize varieties, their moisture contents, threshing devices and harvester working speeds. In this paper, the effects of these factors on the POGB are investigated when the working speed of the harvester is 1.0 m·s−1, 1.5 m·s−1 and 2.0 m·s−1, respectively. The different threshing forms, including tangential-axial-flow (TAF), axial-flow with nail-tooth (AFN), axial-flow with rasp bar in big space (AFRBBS) and axial-flow with rasp bar in small space (AFRBSS), are summarized. The POGB of TAF was 5.4% and it was the lowest of four threshing devices when the working speed of the harvester was 1.0 m·s−1, which was suitable to thresh maize at a low working speed. Maize Demeiya No. 1 (DMYN1), XianDa205 (XD205), Demeiya No. 3 (DMYN3) and Hayu189 (HY189) were harvested at different harvester working speeds, and the POGB of maize DMYN1 was the lowest among the four maize varieties. The POGB increased with increases in the working speed of the harvester and the moisture content of the maize grains. The POGB reached a minimum value of 3.5% when maize XD205 with the lowest moisture content was harvested. The results can provide a reference for choosing the maize variety, its moisture content, the threshing device and the working speed of the harvester for decreasing grain processing breakage.

Attending sideways, disoriented, in the dark: A dream that belongs to no-one

This co-authored article discusses Asa Horvitz’s three-hours long performance A Dream that Belongs to No-one (2021) as a generative experience of disorientation. The performance takes place as the sun is setting, in a big wooden space with glass windows. The audience is given a booklet with fragments of text that describe experiences of overwhelming streams of images, and sits around the sides of the space. Through a dramaturgy of a sideways moving attention that occurs while the night falls, two entangled experiences of disorientation are proposed: a pause in the dark that allows attention to drift; and a sense of falling into darkness that evokes groundlessness and instability. While in disorientation, the audience is immersed in cycles of dream-images that they are invited to wake up to, and to summon these as a way to reorient themselves.

Ultra-fast 3D imaging by a big codewords space division multiplexing binary coding.

Patternless binary coding strategies have been a challenge for ultra-fast 3D imaging with structured light. This Letter proposes a big codewords space division multiplexing binary coding method. From the third to the multiple order, a special spatial binary coding instead of the Gray code is created for the first time, to the best of our knowledge, to achieve an ultra-wide unambiguous range with only one auxiliary pattern. Advantageously, a connection domain segmentation technique with anomaly detection is proposed to achieve decoding of the fringe order, which cleverly avoids the misalignment problem. Additionally, a center of gravity method is applied to compensate for the codewords of the residual connected domain. The robustness and effectiveness of the proposed method for complex, isolated, and non-uniform reflectivity objects, as well as the ultra-fast 3D imaging of dynamic measurements, are experimentally verified.

Entropy of radiation with dynamical gravity

We compute the subregion entanglement entropy for a doubly holographic black string model. This system consists of a non-gravitating bath and a gravitating brane, where we incorporate dynamic gravity by adding a DGP term. This opens up a new parameter directly extending previous work and raises an important question about unitarity. In this note we analyse which theories in this big parameter space, will have unitary entropy evolution, in particular, we will distinguish which of those will follow a Page curve.

A new four-dimensional hyper-chaotic system for image encryption

<span lang="EN-US">Currently, images are very important with the rapid growth of communication networks. Therefore, image encryption is a process to provide security for private information and prevent unwanted access to sensitive data by unauthorized individuals. Chaos systems provide an important role for key generation, with high randomization properties and accurate performance. In this study, a new four-dimensional hyper-chaotic system has been suggested that is used in the keys generation, which are utilized in the image encryption process to achieve permutation and substitution operations. Firstly, color bands are permuted using the index of the chaotic sequences to remove the high correlation among neighboring pixels. Secondly, dynamic S-boxes achieve the principle of substitution, which are utilized to diffuse the pixel values of the color image. The efficiency of the proposed method is tested by the key space, histogram, and so on. Security analysis shows that the proposed method for encrypting images is secure and resistant to different attacks. It contains a big key space of (2627) and a high sensitivity to a slight change in the secret key, a fairly uniform histogram, and entropy values nearby to the best value of 8. Moreover, it consumes a very short time for encryption and decryption.</span>

Evaluating the impact of road network configuration on hotel layout based on big data, GIS and space syntax – evidence from Shanghai

ABSTRACT Understanding the impact of road network configuration, traffic stations and people flow factors on hotel layout can provide a scientific evidence for the spatial planning of hotels and other service industries. Based on multiple geographic big data, this study uses space syntax and Geographic Information System (GIS) to explore the impact of road network on the spatial layout of hotels with varying grades. Results show that low-end hotels are most affected by road network configurations; this is followed by mid-range hotels, and then by high-end hotels; high-end hotels are mostly located in the areas with high accessibility to the road network, while the mid-range and low-end hotels are mostly distributed near areas with strong traffic carrying capacity and attractiveness. Furthermore, traffic stations and people flow also have substantial impact on the spatial distribution of hotels, with the low-end hotels being most affected and the high-end hotels being least affected. Our findings provide several important implications for the spatial planning of hotels in the rapidly developing tourism industry.

Konferences Liepājas Valsts 1. ģimnāzijas pieredzē

The aim of the article is to introduce the process of organizing conferences in Liepaja State Gymnasium No.1, their content, and evaluate this form of communication in order to find answers to the question: what was, is and will be the path of an educated person towards the state of Latvia. The article explains the aim and model of work organization of two conferences - “Looking for creativity in modern pedagogy: Theory and practice” and “Spekke’s readings”, by revealing what was offered to students and teachers during the conference. The aims of the conference “Looking for creativity in modern pedagogy: Theory and practice” are related to describing some best practices in certain aspects, while “Spekke’s readings” focuses on issues that are topical for gymnasiums nowadays – how to promote the development of students’ talents, how to achieve excellence, be more precise and how to create conditions that would support it. In doing so, much bigger space gets explored, both in terms of time and place, conversations on more general issues in education are carried out looking at the teacher’s work with a pupil and the whole class when implementing school aims, objectives for each school year or for a longer planning period. The themes covered in both conferences are related to the school edition “Gymnasium Articles”. Some objectives that were implemented when organizing these conferences can be mentioned: to create the synergy between the conferences and teaching-learning process, and to enlarge the audience of the conferences by involving participants from other schools and organizations.

Extraction of Important Factors in a High-Dimensional Data Space: An Application for High-Growth Firms

We introduce a new non-black-box method of extracting multiple areas in a high-dimensional big data space where data points that satisfy specific conditions are highly concentrated. First, we extract one-dimensional areas where the data that satisfy specific conditions are mostly gathered by using the Bayesian method. Second, we construct higher-dimensional areas where the densities of focused data points are higher than the simple combination of the results for one dimension, and then we verify the results through data validation. Third, we apply this method to estimate the set of significant factors shared in successful firms with growth rates in sales at the top 1% level using 156-dimensional data of corporate financial reports for 12 years containing about 320,000 firms. We also categorize high-growth firms into 15 groups of different sets of factors.

Hardware Implementations for Voice Activity Detection: Trends, Challenges and Outlook

Voice Activity Detection (VAD) is a technique used to identify the presence of human voice in an audio signal. It is implemented as an always-on component in most speech processing applications. As speech is absent most of the time, this component typically dominates the overall average power consumption of the system (excluding microphone). The widespread usage in speech applications and the need for ultra low power VAD have led to a plethora of algorithms and implementations in the hardware domain, necessitating a comprehensive study and analysis to understand (real-time) requirements, different design parameters, testing strategies, but also to identify design trends, challenges and guidelines for future implementations and testing of VAD devices. A scoping review was conducted to identify the articles for hardware implementations of VAD from January 2010 - December 2021, the results of which are presented in this article. The results highlight a big design space being used for VAD along with a lack of standard testing methodology and usage of application-dependent performance metrics. An increased usage of filter-based feature extractors along with neural-network-based classifiers is observed. Due to lack of standardisation, no other trends can be established from the results. A set of rules and guidelines are therefore provided to facilitate the future development and benchmarking of VADs.

DESIGN AND FABRICATION OF FLOUR SIEVING MACHINE

Sieve is a device for separating wanted elements from unwanted material or for characterizing the particle size distribution of a sample, typically using a woven screen such as a mesh or net. A lot of the sieve product that are in the market are money consuming. Skilled workers are also required to operate the product. Other than that, it is also required big space to install the product. A higher maintenance for the product is also one of the problems that a lot of the user faces. The aim of this study is to design a product that are compact and less space consuming. Price of the product also must be affordable especially for small industries. Finally, a low maintenance that can equal with less money consumption. The first part for our methodology of research is to compare the entire product that is in the market. Second, create a design that satisfies the objective. After finalizing the design, search material that is suitable for the spec of the product. Finally, create the product and run test on small industry to collect data and analysis. All the data and the analysis that are obtained are used to write a report. The finding that can be gain after the test is that the flour sieving machine is suitable for small industry to use because it satisfies their requirements without exceeding the need. There are lot of improvement that can be done on this product such as make it portable, upgrade the motor and larger capacity.

CONTROLLING COMFORTNESS OF BIG PRODUCTION BUILDINGS IN TROPICAL REGION FACTORIES BY PROPER FAN ARRANGEMENT

A production building is one of important buildings in a factory. A lot of factories in Indonesia are still considered labor intensive factories. People need a convenient place to work to produce quality products. A discomfort workspace condition for workers often causes not only poor productivity but also poor quality of product. Therefore, it is important to create healthy working environment for workers. Air comfort is determined at least by five factors that are temperature, relative humidity, oxygen content, air pressure and air flow. Common working space in a production building is a huge space, so it is almost impossible to apply air conditioner system to such a big space due to too high investment cost and operational cost and economically unfeasible. In tropical region, oxygen content, air pressure and air flow can be controlled by letting the fresh air from outside to enter the building. Air movement will also lower temperature sensation on human skin. Commonly in factories, the managements equip the factories with fans to improve air comfort in the production building. However, this current research found that improper fan system configuration and direction does not help to improve air comfort and even worsens the air condition because the air movement blown from improper fan configuration and direction can cancel each other and trap the heated air recirculated inside the building. This research found that arranging the fans in one direction will poster air movement from one end to the other end of building as well as keep the fresh air entering building from one side and the used air exiting the building through the other side. Because a fan is not a cooling device, the air temperature inside the building similar to that of fresh air, but the air movement pushed by the fans will reduce temperature sensation on human around 2 0C.

Assessing the Added Value of Sentinel-1 PolSAR Data for Crop Classification

Crop classification is an important remote sensing task with many applications, e.g., food security monitoring, ecosystem service mapping, climate change impact assessment, etc. This work focuses on mapping 10 crop types at the field level in an agricultural region located in the Spanish province of Navarre. For this, multi-temporal Synthetic Aperture Radar Polarimetric (PolSAR) Sentinel-1 imagery and multi-spectral Sentinel-2 data were jointly used. We applied the Cloude–Pottier polarimetric decomposition on PolSAR data to compute 23 polarimetric indicators and extracted vegetation indices from Sentinel-2 time-series to generate a big feature space of 818 features. In order to assess the relevance of the different features for the crop mapping task, we run a number of scenarios using a Support Vector Machines (SVM) classifier. The model that was trained using only the polarimetric data demonstrates a very promising performance, achieving an overall accuracy over 82%. A genetic algorithm was also implemented as a feature selection method for deriving an optimal feature subset. To showcase the positive effect of using polarimetric data over areas suffering from cloud coverage, we contaminated the original Sentinel-2 time-series with simulated cloud masks. By incorporating the genetic algorithm, we derived a high informative feature subset of 120 optical and polarimetric features, as the corresponding classification model increased the overall accuracy by 5% compared to the model trained only with Sentinel-2 features. The feature importance analysis indicated that apart from the Sentinel-2 spectral bands and vegetation indices, several polarimetric parameters, such as Shannon entropy, second eigenvalue and normalised Shannon entropy are of high value in identifying crops. In summary, the findings of our study highlight the significant contribution of Sentinel-1 PolSAR data in crop classification in areas with frequent cloud coverage and the effectiveness of the genetic algorithm in discovering the most informative features.

A Postcard from Santa Fe

A Postcard from Santa Fe Bunmi Ishola (bio) Click for larger view View full resolution SCOTWRITER21, CC BY-SA 4.0 <HTTPS://CREATIVECOMMONS.ORG/LICENSES/BY-SA/4.0>, VIA WIKIMEDIA COMMONS [End Page 30] At the start of the summer, I set out on a long drive. I was headed to Texas from the Pacific Northwest—at least a three-day journey. As I mapped out potential stops, I felt compelled to ensure that Santa Fe would be one of them. From being one of the world's greatest art cities and the city Jack Kelly sings about with longing in the musical Newsies, the capital of New Mexico has always held a bit of intrigue for me. Plus, Santa Fe also happened to be the home of a new bookish friend I had made through a bookish podcast, and I decided to use this stop as a chance for us to connect IRL. After confirming dates, there was clearly only one choice for how Kaytee and I would spend our time together: visit a few of Santa Fe's bookstores! First stop: Garcia Street Books, on a street running perpendicular to Canyon Road, Santa Fe's half-mile street dedicated to art galleries, and housed in a building that connects it to a coffee shop, Downtown Subscription, and Folklore, a boutique. You can purchase some books, grab coffee and a pastry, and sit reading in a small garden space. My favorite thing about Garcia Street was how so many books were shelved face-out—all the picture books were exclusively displayed this way—and whether we want to admit it or not, we all judge books by their covers, and it was nice to be given outright permission to do so! Once Kaytee and I had bought a few books—cause how could we not?—we headed to Collective Works Bookstore and Coffeeshop just outside historic Santa Fe Plaza. A much bigger space, Collected Works is the oldest indie bookstore in the city and boasts a robust selection for browsers to drool over. There is plenty of seating, not just in the in-store coffee shop (which has a community puzzle table), but you can find comfy chairs in almost every section to curl up in with a good book. We didn't do this since we had lunch plans, but we bought a few more books to feed our minds after we took care of our stomachs. Kaytee had to head home, but foregoing a third bookstore gave me the excuse to make my way to the Georgia O'Keeffe Museum. While O'Keeffe was originally from the East Coast, the beauty of Santa Fe drew her in, and she bought property in the area that became her home and studio. At the museum, I discovered that one could say that O'Keeffe "read" nature. From flowers to skulls, rocks to feathers, natural materials were the inspiration and soul of her art. "My painting is what I give back to the world for what the world gives me," O'Keeffe said. She took the commonplace and sought the unexpected in it, to look at the world around us with new perspective. Each room of the small museum introduced you to O'Keeffe's words and works. Walking through them invited me to slow down and make fresh discoveries out of the supposedly mundane. O'Keeffe not only expressed herself with great aplomb through her art—she was also an eloquent writer. The O'Keeffe Museum published two small volumes, available for purchase in their gift shop, of her "words and works" to bring together O'Keeffe's iconic art with some of her most impactful quotes. The slim volumes are perfect keepsakes from my time in Santa Fe and allow me to dip back into the artist's mind through my favorite format: the pages of a book. [End Page 31] Bunmi Ishola Bunmi Ishola is a former journalist and middleschool teacher who now works in children's book publishing. She's constantly guilty of tsundoku, but that hasn't stopped her from buying more books. She loves to travel and has been to over twenty countries...