Bargaining in the Shadow of Big Data

Attorney bargaining has traditionally taken place in the shadow of trial as litigants adjust tactics-and their inclination to negotiate a settlement-based on their forecast of the outcome of a trial and its associated costs. Lawyers bargaining on the verge of trial have traditionally relied on their intuition, knowledge of precedent, and previous interactions with the presiding judge and opposing counsel to forecast trial outcomes and litigation costs. Today, however, technology that leverages legal data is moving the practice of law into the shadow of the trends and patterns apparent in aggregated litigation data. This Article describes the tools that facilitate this paradigm shift and examines how lawyers use these tools to forecast litigation outcomes and reduce Coasean bargaining costs in both litigation and transactional fields. This Article also explores some of the risks associated with bargaining in the shadow of big data, and it offers guidance to lawyers leveraging these tools to improve their practice. This discussion pushes beyond the cartoonish image of big data as a mechanical fortuneteller-predicting who will win or lose a case, supposedly eliminating research or deliberation. This Article also debunks the alarmist cliches about newfangled technologies eliminating jobs. Demand for lawyers who are capable of effective bargaining when confronted by big data will continue to increase as the legal profession catches up to the data-centric approach found in other industries. Ultimately, this Article paints a portrait of what big data really means for practicing attorneys, and it provides a framework for exploring the theoretical implications of lawyering in the era of information analytics

Bargaining in the Shadow of Big Data

Attorney bargaining has traditionally taken place in the shadow of trial as litigants adjust tactics-and their inclination to negotiate a settlement-based on their forecast of the outcome of a trial and its associated costs. Lawyers bargaining on the verge of trial have traditionally relied on their intuition, knowledge of precedent, and previous interactions with the presiding judge and opposing counsel to forecast trial outcomes and litigation costs. Today, however, technology that leverages legal data is moving the practice of law into the shadow of the trends and patterns apparent in aggregated litigation data. This Article describes the tools that facilitate this paradigm shift and examines how lawyers use these tools to forecast litigation outcomes and reduce Coasean bargaining costs in both litigation and transactional fields. This Article also explores some of the risks associated with bargaining in the shadow of big data, and it offers guidance to lawyers leveraging these tools to improve their practice. This discussion pushes beyond the cartoonish image of big data as a mechanical fortuneteller-predicting who will win or lose a case, supposedly eliminating research or deliberation. This Article also debunks the alarmist cliches about newfangled technologies eliminating jobs. Demand for lawyers who are capable of effective bargaining when confronted by big data will continue to increase as the legal profession catches up to the data-centric approach found in other industries. Ultimately, this Article paints a portrait of what big data really means for practicing attorneys, and it provides a framework for exploring the theoretical implications of lawyering in the era of information analytics

Small Universal Accepting Networks of Evolutionary Processors with Filtered Connections

In this paper, we present some results regarding the size complexity of Accepting Networks of Evolutionary Processors with Filtered Connections (ANEPFCs). We show that there are universal ANEPFCs of size 10, by devising a method for simulating 2-Tag Systems. This result significantly improves the known upper bound for the size of universal ANEPFCs which is 18. We also propose a new, computationally and descriptionally efficient simulation of nondeterministic Turing machines by ANEPFCs. More precisely, we describe (informally, due to space limitations) how ANEPFCs with 16 nodes can simulate in O(f(n)) time any nondeterministic Turing machine of time complexity f(n). Thus the known upper bound for the number of nodes in a network simulating an arbitrary Turing machine is decreased from 26 to 16

Prophylaxis and Treatment of Hereditary Angioedema with Fresh Frozen Plasma: A Synthesis and Narrative Review

Patients with angioedema who experience an acute exacerbation may die if their symptoms are not treated promptly. Airway compromise can occur if proper precautions are not taken. Surgical patients with hereditary angioedema should undergo prophylactic treatment before surgical procedures to decrease the risk of an exacerbation. A literature search was performed using the Embase (Elsevier), CINAHL (EBSCO), Health Source: Nursing/Academic Edition (EBSCO), and MEDLINE (National Library of Medicine) databases. Six articles were found that discussed administration of fresh fro-zen plasma (FFP) for treatment or prophylaxis against angioedema exacerbations. Synthesis of the evidence suggests that use of FFP as a sole prophylaxis or treatment for angioedema is inappropriate. FFP can be used as part of a multimodal treatment plan for prophylaxis against angioedema if a C1 esterase inhibitor is not available.&nbsp

Impact of anaemia at discharge following colorectal cancer surgery

Objectives: Preoperative anaemia is common in patients with colorectal cancer and increasingly optimised prior to surgery. Comparably little attention is given to the prevalence and consequences of postoperative anaemia. We aimed to investigate the frequency and short- or long-term impact of anaemia at discharge following colorectal cancer resection. Methods: A dedicated, prospectively populated database of elective laparoscopic colorectal cancer procedures undertaken with curative intent within a fully implemented ERAS protocol was utilised. The primary endpoint was anaemia at time of discharge (haemoglobin (Hb) < 120 g/L for women and < 135 g/L for men). Patient demographics, tumour characteristics, operative details and postoperative outcomes were captured. Median follow-up was 61 months with overall survival calculated with the Kaplan-Meier log rank method and Cox proportional hazard regression based on anaemia at time of hospital discharge. Results: A total of 532 patients with median 61-month follow-up were included. 46.4% were anaemic preoperatively (cohort mean Hb 129.4 g/L ± 18.7). Median surgical blood loss was 100 mL (IQR 0–200 mL). Upon discharge, most patients were anaemic (76.6%, Hb 116.3 g/L ± 14, mean 19 g/L ± 11 below lower limit of normal, p < 0.001). 16.7% experienced postoperative complications which were associated with lower discharge Hb (112 g/L ± 12 vs. 117 g/L ± 14, p = 0.001). Patients discharged anaemic had longer hospital stays (7 [5–11] vs. 6 [5–8], p = 0.037). Anaemia at discharge was independently associated with reduced overall survival (82% vs. 70%, p = 0.018; HR 1.6 (95% CI 1.04–2.5), p = 0.034). Conclusion: Anaemia at time of discharge following elective laparoscopic colorectal cancer surgery and ERAS care is common with associated negative impacts upon short-term clinical outcomes and long-term overall survival

Predicting protein decomposition: the case of aspartic-acid racemization kinetics

The increase in proportion of the non-biological (D-) isomer of aspartic acid (Asp) relative to the L- isomer has been widely used in archaeology and geochemistry as a tool for dating. The method has proved controversial, particularly when used for bones. The non-linear kinetics of Asp racemization have prompted a number of suggestions as to the underlying mechanism(s) and have led to the use of mathe- matical transformations which linearize the increase in D-Asp with respect to time. Using one example, a suggestion that the initial rapid phase of Asp racemization is due to a contribution from asparagine (Asn), we demonstrate how a simple model of the degradation and racemization of Asn can be used to predict the observed kinetics. A more complex model of peptide bound Asx (Asn+Asp) racemization, which occurs via the formation of a cyclic succinimide (Asu), can be used to correctly predict Asx racemi- zation kinetics in proteins at high temperatures (95-140 °C). The model fails to predict racemization kinetics in dentine collagen at 37 °C. The reason for this is that Asu formation is highly conformation dependent and is predicted to occur extremely slowly in triple helical collagen. As conformation strongly in£uences the rate of Asu formation and hence Asx racemization, the use of extrapolation from high temperatures to estimate racemization kinetics of Asx in proteins below their denaturation temperature is called into question. In the case of archaeological bone, we argue that the D:L ratio of Asx re£ects the proportion of non- helical to helical collagen, overlain by the e¡ects of leaching of more soluble (and conformationally unconstrained) peptides. Thus, racemization kinetics in bone are potentially unpredictable, and the proposed use of Asx racemization to estimate the extent of DNA depurination in archaeological bones is challenged

Blood Leukocyte mRNA Expression for IL-10, IL-1Ra, and IL-8, but Not IL-6, Increases After Exercise

The primary purpose of this project was to study exercise-induced leukocyte cytokine mRNA expression. Changes in plasma cytokine levels and blood leukocyte mRNA expression for interleukin-6 (IL-6), IL-8, IL- 10, and IL-1 receptor antagonist (IL-1Ra) were measured in 12 athletes following 2 h of intensive cycling (64% Wattsmax) while ingesting a carbohydrate or placebo beverage (randomized and double blinded). Blood samples were collected 30 min preexercise and immediately and 1 h postexercise. Carbohydate compared with placebo ingestion attenuated exercise-induced changes in plasma cortisol (8.8% vs. 62%, respectively), epinephrine (–9.2% vs. 138%), IL-6 (10-fold vs. 40-fold), IL-10 (8.9-fold vs. 26-fold, and IL-1Ra (2.1-fold vs. 5.6-fold). Significant time effects were measured for blood leukocyte IL-8 (2.4-fold increase 1 h postexercise), IL-10 (2.7-fold increase), IL-1Ra (2.2-fold increase), and IL-6 (0.8-fold decrease) mRNA content, with no significant differences between Cho and Pla test conditions. In summary, gene expression for IL-8, IL-10, and IL-1Ra, but not IL-6, is increased in blood leukocytes taken from athletes following 2 h of intensive cycling and is not influenced by carbohydrate compared with placebo ingestion. mRNA expression was high enough to indicate a substantial contribution of blood leukocytes to plasma levels of IL-8, IL-10, and IL-1Ra during prolonged exercise

Successive Bouts of Cycling Stimulates Genes Associated with Mitochondrial Biogenesis

Exercise increases mRNA for genes involved in mitochondrial biogenesis and oxidative enzyme capacity. However, little is known about how these genes respond to consecutive bouts of prolonged exercise. We examined the effects of 3 h of intensive cycling performed on three consecutive days on the mRNA associated with mitochondrial biogenesis in trained human subjects. Forty trained cyclists were tested for VO2max (54.7 ± 1.1 ml kg−1 min−1). The subjects cycled at 57% wattsmax for 3 h using their own bicycles on CompuTrainer™ Pro Model trainers (RacerMate, Seattle, WA) on three consecutive days. Muscle biopsies were obtained from the vastus lateralis pre- and post-exercise on days one and three. Muscle samples were analyzed for mRNA content of peroxisome proliferator receptor gamma coactivator-1 alpha (PGC-1α), sirtuin 1 (Sirt-1), cytochrome c, and citrate synthase. Data were analyzed using a 2 (time) × 2 (day) repeated measures ANOVA. Of the mRNA analyzed, the following increased from pre to post 3 h rides: cytochrome c (P = 0.006), citrate synthase (P = 0.03), PGC-1α (P \u3c 0.001), and Sirt-1 (P = 0.005). The following mRNA showed significant effects from days one to three: cytochrome c (P \u3c 0.001) and citrate synthase (P = 0.01). These data show that exhaustive cycling performed on three consecutive days resulted in both acute and chronic stimuli for mRNA associated with mitochondrial biogenesis in already trained subjects. This is the first study to illustrate an increase in sirtuin-1 mRNA with acute and chronic exercise. These data contribute to the understanding of mRNA expression during both acute and successive bouts of prolonged exercise

Quercetin Ingestion Does Not Alter Cytokine Changes in Athletes Competing in the Western States Endurance Run

The purpose of this study was to measure the influence of quercetin on plasma cytokines, leukocyte cytokine mRNA, and related variables in ultramarathoners competing in the 160-km Western States Endurance Run (WSER). Sixty-three runners were randomized to quercetin and placebo groups and under double-blinded methods ingested 1000 mg/day quercetin for 3 weeks before the WSER. Thirty-nine of the 63 subjects (n = 18 for quercetin, n = 21 for placebo) finished the race and provided blood samples the morning before the race and 15–30 min postrace. Significant prerace to postrace WSER increases were measured for nine proinflammatory and anti-inflammatory plasma cytokines, cortisol (quercetin = 94%, placebo = 96%), serum C-reactive protein (CRP) (mean ± SE absolute increase, quercetin = 31.8 ± 4.2, placebo = 38.2 ± 5.0 mg/L), and creatine kinase (CK) (quercetin = 21,575 ± 3,977, placebo = 19,455 ± 3,969 U/L), with no significant group differences. Interleukin-6 (IL-6) mRNA did not change post-WSER, with a significant decrease measured for leukocyte IL-8 mRNA (0.21 ± 0.03-fold and 0.25 ± 0.04-fold change from rest, quercetin and placebo, respectively) and significant increases for IL-1Ra mRNA (1.43 ± 0.18-fold and 1.40 ± 0.16-fold change, quercetin and placebo, respectively) and IL-10 mRNA (12.9 ± 3.9-fold and 17.2 ± 6.1-fold change, quercetin and placebo, respectively), with no significant differences between groups. In conclusion, quercetin ingestion (1 g/day) by ultramarathon athletes for 3 weeks before a competitive 160-km race significantly increased plasma quercetin levels but failed to attenuate muscle damage, inflammation, increases in plasma cytokine and hormone levels, and alterations in leukocyte cytokine mRNA expression

Muscle damage is linked to cytokine changes following a 160-km race

Abstract Muscle damage and perceived soreness following the 160-km Western States Endurance Run were related to changes in plasma cytokines and use of nonsteroidal anti-inXammatory drugs (NSAIDS). Subjects included 60 ultramarathoners (mean § SE, age 45.3 § 1.1 years) who Wnished the race in under 30 h (26.3 § 0.4 h). Blood samples were collected the morning prior to and immediately following the race, and subjects recorded muscle soreness during the week following the race using a 10-point Likert scale (DOMS). Seven plasma cytokines were measured including IL-6, IL-10, IL-8, IL-1ra, granulocyte colony-stimulating factor (G-CSF), monocyte chemotactic protein 1 (MCP-1), and macrophage inXammatory protein 1 (MIP-1 ). Cytokine changes were compared between NSAID users and nonusers, and correlated with creatine phosphokinase (CPK) and DOMS. SigniWcant increases were measured for all seven cytokines, with the greatest fold increases seen for IL-6 (125£), IL-10 (24£), and G-CSF (12£). CPK was correlated with changes in IL-6, G-CSF, IL-10, IL-1ra, and MCP-1 (r D .49-.68), (P &lt; .001), but not IL-8 or MIP-1 . DOMS averaged 7.1 § 0.3 the day after the race, and 5.0 § 0.3, 2.5 § 0.2, and 1.6 § 0.1 3 days, 5 days, and 7 days post-race, respectively, and each was correlated with CPK (r D .40-.63, P &lt; .001) and changes in IL-6, G-CSF, IL-10, and MCP-1 (r D .28-.77, P &lt; .05). A comparison of NSAID users (72% of athletes) and nonusers showed no diVerences in CPK or DOMS, but did reveal greater increases in Wve of seven cytokines in the NSAID users (P &lt; .05). In conclusion, muscle damage in athletes competing in a 160-km race was signiWcantly correlated with post-race DOMS and increases in Wve of seven cytokines. NSAID users did not experience a reduction in muscle damage or DOMS, but did have higher post-race plasma levels in Wve of seven cytokines