New Releases by Tao Lin

From the acclaimed author of Taipei, a bold portrait of a writer working to balance all his lives—artist, son, loner—as he spins the ordinary into something monumental. An engrossing, hopeful novel about life, fiction, and where the two blur together. In 2014, a novelist named Li leaves Manhattan to visit his parents in Taipei for ten weeks. He doesn''t know it yet, but his life will begin to deepen and complexify on this trip. As he flies between these two worlds--year by year, over four years--he will flit in and out of optimism, despair, loneliness, sanity, bouts of chronic pain, and drafts of a new book. He will incite and temper arguments, uncover secrets about nature and history, and try to understand how to live a meaningful life as an artist and a son. But how to fit these pieces of his life together? Where to begin? Or should he leave society altogether? Exploring everyday events and scenes--waiting rooms, dog walks, family meals--while investigatively venturing to the edges of society, where culture dissolves into mystery, Lin shows what it is to write a novel in real time. Illuminating and deeply felt, as it builds toward a stunning, if unexpected, romance, Leave Society is a masterly story about life and art at the end of history. A VINTAGE ORIGINAL

Objectives: Identifying patients who may benefit from therapy or not in early psychotherapy is important to improve treatment outcome. This study aimed to investigate the trajectories of symptom change and working alliance in early psychotherapy and examine their predictions of treatment outcome. Methods: Growth mixture model (GMM) was performed to examine trajectories of symptom change and working alliance in the first five sessions. The association of early symptom trajectories and alliance trajectories with treatment outcome were examined. Results: The present study identified two symptom trajectories, high symptom/steady change (63.2%) and early improving (36.8%), and four alliance development patterns: undeveloped alliance (40.1%), strengthening moderate alliance (31.6%), optimal alliance (17.3%), repaired alliance (11%) in early psychotherapy. The early symptom change trajectories and alliance development patterns both independently and interactively predicted treatment outcome. Optimal alliance generally led to the best outcome. The effect of repaired alliance on treatment outcome was moderated by symptom change trajectories: For high symptom/steady change subgroup, repaired alliance produced better treatment outcome, whereas for medium symptom/slow change subgroup, repaired alliance resulted in worse outcome. Conclusion: Patients showed heterogeneous responses regarding symptom reduction and alliance development in early psychotherapy. Combining early symptom trajectories and alliance trajectories simultaneously can facilitate routine outcome monitoring and contribute to the prediction of treatment outcome.

This anthology collects original writing and art by novelists, poets, and academics about their pets, including a killer chihuahua, a catatonic toy poodle, a contraband cat, a backyard full of endangered desert tortoises, five forgotten parakeets, and a skinny ex-racehorse named Joe. From legends like Ann Beattie and Christine Schutt to cult figures like Scott McClanahan and Tao Lin, this anthology collects writing from some of today''s best literary talent. Edited by Jordan Castro with contributions by Ryunosuke Akutagawa, Ann Beattie, Raegan Bird, Blake Butler, Ryan C. K. Choi, Michael W. Clune, Patty Yumi Cottrell, Annie DeWitt, Chelsea Hodson, Yuka Igarashi, Kristen Iskandrian, Mark Leidner, Tao Lin, Scott McClanahan, Sarah Manguso, David Nutt, Precious Okoyomon, Sam Pink, Nicolette Polek, Kathryn Scanlan, Christine Schutt, and Mallory Whitten.

Part memoir, part history, part journalistic exposé, Trip is a look at psychedelic drugs, literature, and alienation from one of the twenty-first century''s most innovative novelists--The Electric Kool-Aid Acid Test for a new generation. A Vintage Original. While reeling from one of the most creative--but at times self-destructive--outpourings of his life, Tao Lin discovered the strange and exciting work of Terence McKenna. McKenna, the leading advocate of psychedelic drugs since Timothy Leary, became for Lin both an obsession and a revitalizing force. In Trip, Lin''s first book-length work of nonfiction, he charts his recovery from pharmaceutical drugs, his surprising and positive change in worldview, and his four-year engagement with some of the hardest questions: Why do we make art? Is the world made of language? What happens when we die? And is the imagination more real than the universe? In exploring these ideas and detailing his experiences with psilocybin, DMT, salvia, and cannabis, Lin takes readers on a trip through nature, his own past, psychedelic culture, and the unknown.

Triage analysis is a fundamental stage in cyber operations in Security Operations Centers (SOCs). The massive data sources generate great demands on cyber security analysts'' capability of information processing and analytical reasoning. Furthermore, most junior security analysts perform much less efficiently than senior analysts in deciding what data triage operations to perform. To help analysts perform better, retrieval methods need to be proposed to facilitate data triaging through retrieval of the relevant historical data triage operations of senior security analysts. This thesis conducts a research of retrieval methods based on recurrent neural network, including rule-based retrieval and context-based retrieval of data triage operations. It further discusses the new directions in solving the data triage operation retrieval problem.The present situation is that most novice analysts who are responsible for performing data triage tasks suffer a great deal from the complexity and intensity of their tasks. To fill the gap, we propose to provide novice analysts with on-the-job suggestions by presenting the relevant data triage operations conducted by senior analysts in a previous task. A tracing method has been developed to track an analyst''s data triage operations. This thesis mainly presents a data triage operation retrieval system that (1) models the context of a data triage analytic process, (2) uses recurrent neural network to compare matching contexts, and (3) presents the matched traces to the novice analysts as suggestions. We have implemented and evaluated the performance of the system through both automated testing and human evaluation. The results show that the proposed retrieval system can effectively identify the relevant traces based on an analyst''s current analytic process.

Editor Biography: Tao Lin received the B.S.E.E., M.E., and PhD degrees from Huazhong University of Science and Technology, Wuhan, China, in 1991, 1994, and 1997, respectively. He joined Central China Power Group Co., Wuhan, China, as an R and D Engineer in 1997. From May 2000 to July 2005, he was with Nagasaki University, Japan, University of Bath, U.K., and University of Florida, USA. From 2005, he has been a full professor at the School of Electrical Engineering, Wuhan University, Wuhan, 430072, China. His research fields are power system operation and control, power system relaying, power quality, distributed generation and microgrid. Book Description: This book systematically discusses (a) Distributed Generation (DG), which operates in a single, stand-alone controllable system mode, and (b) the Microgrid (MG) powered by DG, along with the technical concepts, the impact on power systems, control and optimization techniques, and their applications. It includes ten chapters that focus on the following five aspects: 1) An overview of distributed generation is introduced in Chapter One, and the technical concept of the microgrid is introduced in Chapter Eight with detail. 2) As the main element of distributed generation (DG), a smart inverter system for the control of active and reactive power in a grid-tied mode, which is treated as an interface between grid and the RES (Renewable Energy System), is studied concretely in Chapter Two. 3) The influence of distributed generation on power systems, including the impact of DG on the planning and operation of power systems, the impact of DG on power quality, and power system protection are concretely described and analyzed in Chapters Three, Four and Five, respectively. 4) The control and optimization technologies for DG and MG. These techniques include: the Economic Model Predictive Control (EMPC) strategy for the solution of pricing management in community-based microgrids (MGs), which consider economic benefits as the control and optimization objects; the distributed control and optimization techniques for islanded microgrids (MGs) that consider stability as the control and optimization objects; the intelligent load shedding for stability enhancement in an autonomous microgrid; and the recovery (restoration) control after a contingency situation. These are all investigated in Chapters Six, Seven, Eight and Nine, respectively. 5) The applications of renewable energy technology, such as efficient artisanal light fishing technologies that exploit lake light physics and light-fish interactions, are specifically presented in Chapter Ten. Target Audience: This book can be used as a teaching reference for professors and researchers, or as a reference book for university seniors and graduate students to carry out their research work. It can also be used to guide engineering applications, for example, and as a reference book for engineers and on-site personnel in electrical power systems.

Literary Nonfiction. Art. Fiction. Poetry. SELECTED TWEETS by Mira Gonzalez and Tao Lin, dating from 2008 to 2014, as well as extras such as illustrations of each other''s tweets, short stories, essays, and a long poem. SHEILA HETI: How do you imagine people read Twitter? TAO LIN: On their phones I think mostly. I think I''ve read the most Twitter while laying in bed or on my back, or just laying in places, like in parks or in airports. Maybe not the most, but a lot. I''ve dropped my phone on my face many times. I think other people must too, but I rarely hear about this. SHEILA HETI: What do you think about before you tweet? You once told me that you tweet what makes you feel uncomfortable. So which tweets do you reject, which do you accept? MIRA GONZALEZ: I wouldn''t necessarily say that I tweet what makes me feel uncomfortable, I think it''s more that I feel comfortable tweeting things that I would never feel comfortable saying in a real life conversation, or even in other places on the internet. For reasons that I don''t fully understand, Twitter is a place where I don''t feel ashamed to say my most shameful thoughts... (From "What Would Twitter Do," Tao Lin and Mira Gonzalez interviewed by Sheila Heti)

A “prodigal, unpredictable” book of poetry from acclaimed poet, novelist, and short story writer Tao Lin (Paste Magazine) In Cognitive-Behavioral Therapy a 23–year–old person attempts to explain to himself the possible origins, ends, and cures of anger, worry, despair, obsession, and confusion, while concurrently experiencing those things in various contexts including a romantic relationship, a book of poetry, and the arbitrary nature of the universe.

This dissertation presents theoretical and computational approaches for estimating sound-speed in the ocean under different conditions. The first part of the dissertation discusses a fast approach for solving the inverse problem of estimating sediment sound-speed based on the Deift-Trubowitz trace formula. Under certain assumptions, this algorithm can recover the sound speed profile in the seabed using pressure field measurements in the water column at low frequencies. The inversion algorithm requires solving a non-linear integral equation. In the past, Stickler and Zhou employed a first order Born approximation for solving the integral equation. This work introduces two new methods. The first is a modified Born approximation that improves upon a standard first order approximation, yet it is easy to implement; the second one is an approximation based on interpolating the integrand. It is shown that these methods work well with synthetic data in the numerical simulations. Results are compared to those of previously developed methods and demonstrate improvement especially at sharp changes in sound speed. Although the methods are stable and effective with noise-free data, problems arise when noise is considered. Regularization methods are developed to remedy this problem. Finally, we recognize that some assumptions necessary for this algorithm to work may not be realistic; several possibilities are presented to relax these limitations. In the second part, a method is developed for the estimation of source location and sound speed in the water column relying on linearization. The Jacobian matrix, necessary for the proposed linearization approach, includes derivatives with respect to Empirical Orthogonal Function coefficients instead of sound speed directly. First, the inversion technique is tested on synthetic arrival times, using Gaussian distributions for the errors in the considered arrival times. The approach is efficient, requiring a few iterations, and produces accurate results. Probability densities of the estimates are calculated for different levels of noise in the arrival times. Subsequently, particle filtering is employed for the estimation of arrival times from signals recorded during the Shallow Water 06 experiment. It has been shown in the past that particle filtering can be employed for the successful estimation of multipath arrival times from short-range data and, consequently, in geometry, bathymetry, and sound speed inversion. Here, probability density functions of arrival times computed via particle filtering are propagated backwards through the proposed inversion process. Inversion estimates are consistent with values reported in the literature for the same quantities. Lastly, it is shown that the results and estimates from fast simulated annealing applied to the same arrival times are very similar.

The basis for the movie High Resolution From one of this generation''s most talked about and enigmatic writers comes a deeply personal, powerful, and moving novel about family, relationships, accelerating drug use, and the lingering possibility of death. Taipei by Tao Lin is an ode--or lament--to the way we live now. Following Paul from New York, where he comically navigates Manhattan''s art and literary scenes, to Taipei, Taiwan, where he confronts his family''s roots, we see one relationship fail, while another is born on the internet and blooms into an unexpected wedding in Las Vegas. Along the way—whether on all night drives up the East Coast, shoplifting excursions in the South, book readings on the West Coast, or ill advised grocery runs in Ohio—movies are made with laptop cameras, massive amounts of drugs are ingested, and two young lovers come to learn what it means to share themselves completely. The result is a suspenseful meditation on memory, love, and what it means to be alive, young, and on the fringe in America, or anywhere else for that matter.

Tao Lin''s transgressive, personal, and polarizing piece is as eye-opening and relatable as it is ambiguous and confusing. Here, alternate-universe nightmare is presented for the first time in a number of different fonts to assist Tao Lin in ingraining the message of his story within the reader''s psyche. alternate-universe nightmare further establishes Tao Lin as one of the most subversive and interesting writers working today.

The AMR effect, evidence for a proximity induced magnetic moment in Pt/YIG bilayer, was previously found absent in experiments with a rotating magnetic field applied at room temperature. Instead, the observed magnetoresistance was attributed to a new type of effect called SMR that is caused by magnetization-dependent spin current reflection at the interface. In both Pd/YIG and Pt/YIG bilayers, however, we have observed that SMR and AMR coexist over a wide range of temperatures with AMR dominating at low temperatures. Detailed experimental results were shown of the temperature dependence and field dependence of the two types of magnetoresistance, to disentangle AMR and SMR quantitatively. While AMR is likely caused by the proximity induced magnetization in NM that saturates at relatively low fields, at higher magnetic fields when additional interfacial magnetic moments are gradually aligned, the spin current reflection effect and consequently SMR are greatly enhanced. The detailed analysis and discussions will be presented in Chapter IV.

Chemicals, Vol. 1 is a collection of writingsby authors under the influenceof a mind altering substance.All proceeds will be donatedto the Red Cross helping in Japan.

In a startling change of direction, cult favourite Tao Lin presents a dark and brooding tale of illicit love that is his most sophisticated and mesmerising yet. Named after the real-life writer Richard Yates, but, having nothing to do with him, Lin tracks the illicit affair between a very young writer and his underage lover. As the writer seeks to balance work and love, his young lover becomes ever more self-destructive in a play for his undivided attention. Lin''s trademark minimalism takes on a new sharp-edged suspense here, zeroing in on a lacerating narrative.

It has been widely debated whether producing ethanol from corn is sustainable in the long term. Environmentally, the major concern is that producing ethanol from corn involves intensive water and energy consumption. Economically, recent fluctuations in petroleum, ethanol, and corn prices have driven several large producers of ethanol into bankruptcy. The ethanol industry is vulnerable to periods of economic weakness because its product value varies with oil prices but its raw material (corn) varies with food prices. To improve the economic sustainability of corn-to-ethanol production, several modified dry grind processes had been developed at the lab scale. The Quick-germ / Quick-fiber (QQ) process is one of them. However, there has been no analysis of the QQ process that provides detailed information related to the energy, water, and economic performance at a commercial scale. To determine the both environmental and economic performance, a process simulation model was developed on the SuperPro Designer® platform to simulate the QQ process, and compared to the conventional dry grind model. Results indicate that germ and fiber recovery as done in the QQ process improves the process capacity of a conventional dry grind ethanol facility by approximately 24%. Because of germ and fiber recovery at the front end, the ethanol concentration has been increased to 15% (w/w) as compared to 10.9 (w/w) in the conventional dry grind process. The QQ process reduces the energy and water consumption by 32% and 17.8%, respectively. The QQ process produces more value-added coproducts, including corn germ, corn fiber, and a modified distillers dried grains with solubles (DDGS), but has a lower ethanol yield rate due to some starch losses to the recovered germ and fiber fractions at the front end. A detailed cost and benefit analysis of the QQ process, based on the market prices in April 2009, shows that despite its higher capital investment costs, the QQ process reduces the payback period to 6.5 years, compared to 9.2 years for the conventional dry grind process. Increased ethanol production, more value-added coproducts, as well as significant reduced utility costs are three major contributors to improve the economic performance of the QQ process. This work lays the foundation for the similar studies on the sustainability performance for other modified dry grind ethanol processes.

A funny autobiographical tale about growing up in the digital age, from a groundbreaking author whose writing is “reminiscent of early Douglas Coupland, or early Bret Easton Ellis” (The Guardian) This autobiographical novella is described by the author as “a shoplifting book about vague relationships,” and “an ultimately life-affirming book about how the unidirectional nature of time renders everything beautiful and sad.” From VIP rooms in hip New York City clubs to central booking in Chinatown, from New York University’s Bobst Library to a bus in someone’s backyard in a Floridian college town, from Bret Easton Ellis to Lorrie Moore, and from Moby to Schumann, Shoplifting from American Apparel explores class, culture, and the arts in all their American forms through the funny, journalistic, and existentially-minded narrative of someone trying to both “not be a bad person” and “find some kind of happiness or something.” “Tao''s writing . . . has the force of the real.” —Ben Lerner, author of The Topeka School

An absurdist short story collection about the woes of 21st-century living—from an author whose writing is “moving and necessary, not to mention frequently hilarious” (Miranda July) College students, recent graduates, and their parents work at Denny’s, volunteer at a public library in suburban Florida, attend satanic ska/punk concerts, eat Chinese food with the homeless of New York City, and go to the same Japanese restaurant in Manhattan three times in two sleepless days, all while yearning constantly for love, a better kind of love, or something better than love, things which—much like the Loch Ness Monster—they know probably do not exist, but are rumored to exist and therefore “good enough.”

An off-kilter and funny novel in which confused yet intelligent animals attempt to interact with confused yet intelligent humans, resulting in the death of Elijah Wood, Salman Rushdie and Wong Kar Wai; a vegan dinner at a sushi restaurant is attended by a dolphin, a bear, a moose, an alien, three humans and the President of the USA, who lectures on the arbitrary nature of consciousness, truth and the universe before getting drunk and playing poker.