While the media frenzy focuses on the physical risks of concussion, there is also growing concern about the academic repercussions for students who sustain the injury. We do not currently have a uniform evidence-based approach for optimally returning a student back to learning activities after a concussion. We also do not understand how the diverse consequences of a concussion may affect academic self-efficacy and performance. The purpose of this study is to explore the effects a concussion may have on college students who are navigating the return to learn (RTL) process. This research aims to inform whether there are measureable deficits in academic self-efficacy using the previously validated and abridged survey measure, the Self-Efficacy of Learning Form (SELF-A). Time of injury during the academic semester is also considered, as we hypothesize greater healing should negate the concussion's effects on the measure of self-efficacy. In addition, the research explores students' experiences with RTL using a semi-structured interview approach. The results suggest that college students who suffer a concussion during an academic semester have lower measures of academic self-efficacy compared to a control group of their peers. In addition, results show that students are returning to learn while still suffering from the effects of their concussion. This study found no significant correlation between the healing time of a concussion and the scores on the SELF-A. The interviews served to underscore the diverse myriad physical and psychological challenges a student faces, as well as the precarious variance in RTL strategies. This study highlights the challenges that students face while they RTL following a concussion, and begs the investigation of whether better RTL practices can help mitigate the negative effects. It underscores the necessity for further research, evidence-based medical care, instructor accommodations, and institutional policies to support students' safe RTL and ability to perform at their maximal academic potential.

Syfte – Syftet med detta examensarbete är att bidra med kunskap om hur kvalitetsstyrning av inkommande returflöde kan generera en effektivare återtillverkningsprocess. För att uppfylla syftet har följande två frågeställningar formulerats: Vilka faktorer i returflödet påverkar effektiviteten i en återtillverkningsprocess? Hur kan dessa faktorer kontrolleras för att erhålla en effektivare återtillverkningsprocess? Metod – För att uppnå examensarbetets syfte har en fallstudie genomförts hos återtillverkningsföretaget Recyctec AB i Jönköping. Empirisk data har samlats in med hjälp av intervjuer, observationer och benchmarking. Utöver fallstudien har en litteraturstudie genomförts där ett teoretiskt ramverk skapats. Det teoretiska ramverket har sedan analyserats tillsammans med empirin för att slutligen generera examensarbetets resultat. Resultat – De osäkerhetsfaktorer som författarna identifierat är: drivkrafter för ett återtillverkningsnätverk, osäkerheter i returnerade produkter och kvalitetsbedömning av returnerade produkter. Genom att arbeta med åtgärder för returproduktanskaffning och kvalitetsstyrning för dessa tre osäkerhetsfaktorer kan en effektivare återställningsprocess erhållas. Genom att kombinera olika drivkrafter kan samarbetsviljan i återställningsnätverket ökas. Vidare kan osäkerheten i returnerade produkter minskas genom att dela in kvalitet i olika tydligt definierade och standardiserade kvalitetsklasser. Implikationer – I detta examensarbete föreslås återtillverkande företag skifta fokus från kvalitetskontroller till kvalitetssäkring och lägga resurser där problemen uppstår. Vidare föreslås även en kombination av olika drivkrafter för returproduktanskaffning för att därigenom skapa incitament för returer av bättre kvalitet. Begränsningar – Befintlig teori har fått tolkas och anpassas av författarna för examensarbetet då specifik teori för aktuell analysenhet inte funnits att tillgå. Problemställningarna i återtillverkningsbranschen har visat sig vara branschspecifika och därmed olika. Examensarbetets generaliserbarhet hade därmed kunnat stärkas av ytterligare fallstudier. / Purpose – The purpose of this thesis work is to contribute with knowledge about how quality management can generate a more efficient remanufacturing process. In order to fulfill this purpose the following two questions were formulated: 1.     Which factors in the return flow affects the efficiency of a remanufacturing process? How can these factors be controlled to obtain a more efficient remanufacturing process? Method – In order to achieve the purpose of this thesis, a case study has been conducted at Recyctec AB in Jönköping. Empirical data has been collected through interviews, observations and benchmarking. In addition to the case study a literature study has been carried out in order to create a theoretical framework. The theoretical framework has been analyzed together with the empirical data in order to generate the result of the thesis. Findings – The uncertainties identified by the authors are: driving forces for the remanufacturing network, uncertainties in returned products and quality assessment of returned products. By working with measures on return product acquisition and quality management for these three uncertainties, a more efficient remanufacturing process can be achieved. By combining different driving forces a higher level of cooperation in the remanufacturing network can be achieved. Furthermore, dividing quality into different clearly defined and standardized quality classes can reduce the uncertainties in returned products. Implications – This thesis proposes remanufacturing companies to shift focus from quality control to quality assurance and to address resources where the problems arise. Furthermore, the authors suggest remanufacturing companies to combine different driving forces for product return in order to create incentives to return products with higher quality. Limitations – Existing theory has been interpreted and adapted by the authors to the thesis, as specific theory for the current unit of analysis has not been available. The problems in the remanufacturing industry have proven to be industry specific and thus different. The thesis generalizability could therefore been strengthened by further case studies.

This thesis consists of three papers that make independendet contributions to the field of financial economics. As such, the papers, Chapter 2, Chapter 3, and Chapter 4, can be read independently of each other. In Chapter 2, we construct a simple measure of the aggregate illiquidity of hedge fund portfolios, and show that it has strong in- and out-of-sample forecasting power for 72 portfolios of international equities, U.S. corporate bonds, and currencies, over the 1994 to 2011 period. The forecasting ability of hedge fund illiquidity for asset returns is, in most cases, greater than, and provides independent information relative to, well-known predictive variables for each of these asset classes. We construct a simple equilibrium model to rationalise our findings and empirically verify auxiliary predictions of the model. In Chapter 3, I analyse the risk-shifting of hedge funds. Since the information on hedge fund holdings is very restricted, researchers have used the variance of returns as a proxy for risk. I propose a new method for measuring the time-varying variance. I use this method to investigate whether equity long-short hedge funds engage in risk-shifting driven by their past performance relative to their peers. I find that hedge funds which have strongly underperformed or outperformed their peers in recent months increase their exposure to the core strategy, i.e. the equity long-short strategy, and to non-core strategies. The risk shifting is mitigated for hedge funds with long redemption periods. Chapter 4 contributes to the equity premium prediction literature. I improve the forecast performance of typical single variable predictive regressions used in the equity premium prediction literature through Bayesian priors derived from consumption-based asset pricing models. To implement these model-based priors, I develop a Bayesian procedure which is rooted in the macroeconometrics literature. I find that the model-based priors can increase the explanatory power, measured by the out-of-sample R², of the single variable predictive regressions by several percentage points.

Like the Tribute in Light that grew phoenix-like from the ashes of the broken hearts of the artists who created it, Return to the Upright Position is a beautiful on-line collaboration amongst fourteen artists in the six months following 9/11. Conceived and edited by Caridad Svich, the play is moving and delicate and instantly brings us back to those moments when American history and sentiment were forever changed. Demoralized, terrorized, afraid, and alone, our country dragged its shocked and weary carcass from the ash, and pulled itself back up again. That is after all the American way, pulling yourself up by your bootstraps, continuing to believe in a better, brighter future, in hope and possibility; returning to the upright position.

In Minnesota’s workers’ compensation system, injured employees at risk for sustaining permanent disability may be eligible for receipt of vocational rehabilitation (VR) services if they are determined to be capable of benefitting from such services. VR services can be a valuable resource to injured employees who need assistance minimizing their work disability and maximizing their residual wage-earning capacity. However, for VR services to be effective at a system level, it is necessary to precisely and accurately identify an injured employee’s rehabilitation potential. Failure to do so is likely to result in the misallocation of a scarce and costly resource. Given recent trends in Minnesota’s workers’ compensation system (e.g., higher VR service costs and lower RTW rates among injured employees with indemnity claims), this study was conducted with the purpose of developing and validating an objective, evidence-based method of predicting the RTW status as of claim closure of injured Minnesota employees who sustained permanent impairment and received VR services. To accomplish this purpose, a closed-claim, retrospective design was implemented. Data for this cross-sectional study was obtained from the Minnesota administrative claims database. There were 15,372 claims that met all eligibility criteria. With guidance from the biopsychosocial disablement models developed by Nagi and the World Health Organization, 15 discrete predictor variables that represented medical, individual, and workplace factors were selected for study inclusion. Descriptive and predictive analyses were used to assess the relationship between this study’s RTW outcome and its set of RTW predictors. Using logistic regression, an optimal RTW model was first developed and then internally validated with a split-dataset approach. The optimal RTW model included four main effects (attorney involvement; severity of permanent impairment; age; job tenure) and three first-order interaction effects (pre-injury average weekly wage X pre-injury industry; attorney involvement X severity of permanent impairment; attorney involvement X job tenure). Though not retained in the optimal RTW model, part of body affected and education also had notable bivariate relationships with the outcome. The optimal RTW model’s performance regarding goodness-of-fit and clinical usefulness suggests it may be of value to those assessing rehabilitation potential within Minnesota’s workers’ compensation system.

Conventional post-conflict state-building models approach disarmament, demobilisation, and reintegration (DDR) programmes as a means for state actors to delegitimise non-state sources of power and centralise control over coercive power with the state. The programmes carry the promise of new lives for conflict actors and a new, modern and technocratic approach to the exercise of force; they are thus central to post-conflict transformation. However, this thesis calls into question the naturalisation of 'state' and 'conflict' actors in DDR models. Instead, it finds that DDR programmes create these categories and, in doing so, serve to mask and facilitate continuities in elite power. This thesis examines the case of Timor-Leste. In Timor-Leste, the country's new leaders - resistance actors cum state actors - have centralised legitimate power, while, at the same time, incorporated non-state, resistance-era networks and identities upon which their authority depends. The key technology through which this order has been established is a suite of reintegration programmes. In registering over a quarter of a million people and dispersing significant funds, this programme has emerged as a tool of governance. Again challenging the idea of a 'state' acting upon 'veterans', this thesis finds that these programmes constitute these identities. The act of defining non-state conflict actors who may no longer legitimately wield force also necessarily defines the category of state actors who may wield force. In asking what these programmes 'do,' this thesis rejects conventional readings of reintegration practices as security-driven or processes like registration as purely administrative challenges. As such, this study introduces a critical, new perspective on the political economy of post-conflict reintegration programmes. It supports its findings through a mixed methods approach, combining a robust, representative survey of over 220 former resistance members with ethnographic observation and 90 semi-structured elite interviews. This thesis is thus of relevance to those interested in DDR, conflict networks, and state-building.

Robust Investment Portfolios Zdeněk Konfršt Abstract This master's thesis pursues the construction of stable, robust and growth portfo- lios in active portfolio management. These portfolios provide limited downside risks, short-time drawdowns and substantial growth prospects. We argue that the construc- tion of such portfolios is based on security selection as well as on portfolio theory (the Mean-Variance Model, MVM). The equity based portfolios were constructed and tested on real market data from the 1995-2014 period. The tested portfolios outperformed the S&P 500 out of and within the risk-reward ratio domain. Robust portfolios build on the MVM but they are less sensitive to errors of param- eters estimation. We experimented with several robust approaches and the results confirmed that the robust portfolios were less sensitive to outliers, less volatile and more stable (robust). The bottom-up process of security selection seems time consuming and labor intensive. Therefore we proposed an alternative approach to select stocks with so- called "cluster analysis". Generally, the cluster analysis classifies similar objects (companies) into similar groups. Technical and fundamental parameters of companies provided needed classification parameters. The classification was run over companies from the German DAX...

Background Musculoskeletal disorders (MSDs) are one of the most important causes of temporary and permanent disability, causing acute or persistent pain, resulting in reduced and/or lost ability to work. Return to work (RTW) is multidimensional problem including many different factors and aspects. Few recent studies have analyzed factors predicting RTW after multimodal rehabilitation (MMR). Identification of predictors for RTW may help to improve the planning and optimization of the RTW strategy. The REHSAM II project is a randomized controlled trial with the aim to evaluate if MMR together with a web Behavior Change Program for Activity could increase work ability among persons with persistent MSDs as compared to MMR. Therefore the aim of this study was to identify factors explaining RTW 12 month after baseline in the REHSAM II project. Methods The present study is a secondary assessment of the data from the randomized controlled trial REHSAM II. A total of 97 participants with persistent musculoskeletal pain were randomly allocated to MMR + web-based education or only MMR group. The subjects were followed from baseline to 12 months. Information on potential predictors was obtained from self-administered questionnaires. Data were analyzed with univariate and multiple logistic regression models. Results In the final multiple regression model RTW was predicted by the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ score) (p=0.003, OR=0.961) and EuroQol (EQ-5D index) (p=0.017, OR=7.283). The univariate regression analyses showed that pain and disability level, the capacity to perform a task in relation to pain and other symptoms, hospital and psychiatric care, medication for insomnia, catastrophizing, self-assessed work ability compared with the lifetime best, satisfaction with life, ability for coping and controlling work situation, ability for coping with life outside work and sense of responsibility for managing health condition were significantly associated with RTW. Conclusion In conclusion, psychosocial pain-related variable and health-related quality of life predicted RTW in the final model. The result confirms the fact that RTW is a multidimensional problem involving a complex interaction of many factors.

Investing in commodities may have important benefits for investors but only in the last few decades have they started to think more about this possibility. Furthermore, large investors are more inclined to change their own personal view. Therefore, understanding the benefits that commodities could give to an investment portfolio might alleviate investors’ concerns. Several previous studies, as Belousova and Dorfleitner (2012) suggest, that the commodities with higher benefits are precious metals and gold, in particular. The purpose of our work is to understand which possible benefits are for equity investors and if they are common for certain commodities with different physical characteristics. The first part of our empirical work focuses on the main descriptive statistics of the return distribution (mean, variance, volatility, skewness, kurtosis and correlation) for 8 stock indices and 7 commodity futures. The main goal of this is to understand the differences among the commodities and between the commodities and the stock indices. In the second part of the empirical work, we test the safe-haven and the hedge properties of these commodities on a weekly basis for all of them with stock indices, and we do the same on a daily and monthly basis for only commodities which are negatively correlated on average with the stock indices. In the last part of our work, we combine these 7 commodities, following the principles of Bloomberg Commodity Index (BCOM), in order to create a well-balanced and well-diversified commodity index. Additionally, we create some mixed portfolios using this index and a different stock index every time. After that we look at the volatilities and the returns of these mixed portfolios with different weight combinations. Our main goals in this section are to understand the characteristics of the commodity index in comparison with stock indices and then, finding which weight combinations give the mixed portfolios the optimal risk-return trade off. Understanding which are efficient weights, can lead to conclusions about the weight that commodities should have in a portfolio according to the risk tolerance of the investors.  The research is done considering three time frequencies: daily, weekly and monthly; in line with the ones used by Baur and McDermott (2010). The sample size differs among these three different time basis. In fact, daily data started in January 2007 and the other two time frequencies data began with January 1997. All the time samples ended in March 2016. The results of the first part show that gold is the only commodity with a volatility similar to the stock indices (it also has a higher average return) and that on the daily, weekly and monthly basis. Whereas, the other commodities are much riskier than stock indices since they have higher volatility for all the three time-frequencies analyzed.  The results of the second part suggest that only gold is both a safe-haven and hedging commodity in line with the methodology used by Baur and McDermott (2010), but only for DAX 30 on a weekly basis. Furthermore, our results also show that natural gas is strong hedge in some cases such as natural gas for STI (Singapore) on a monthly basis or gold for Nikkei 225 on daily, weekly and monthly basis. Other commodities are neither safe-haven nor hedge in any case, except for silver which is a safe-haven commodity for DAX 30 and Sensex which at its worst, 1% and 5%, declines in the market respectively. The results of the last part of our work show that all the minimum variance mixed portfolios (the ones with the weights give the lowest risk) - made on a weekly basis - reduce the portfolio volatility and make the portfolio returns higher than the stock indices returns in 5 cases out of 8. Additionally, the results show how investors, who add a well-balanced and well-diversified commodity index to their portfolios, are able to observe several weight combinations and choose the one which suits their risk tolerance. Moreover, our results show that the optimal-weight combinations for commodity weights are lower than 0,5 only for FTSE 100 and S&P 500 (both values are 0,49) and higher than 0,62 but lower than 0,7 for DAX 30, Nikkei 225, Hang Seng, Sensex, SSEC. Furthermore, the optimal weight for STI is 0,54.

Master of Agribusiness / Department of Agricultural Economics / Bryan Schurle / Frito-Lay is part of the PepsiCo Family which makes some of the best known and top selling snack foods around. Frito-Lay is the dominant player in the salty snack category in the United States, with a 65 percent share of the market. Frito-Lay brands include Lay's, Ruffles, Tostitos, Sunchips, Fritos, Cheetos, and Doritos. The objective of the thesis is to analyze a potential project: installing a raw potato sorting system on a potato chip line. Part of the analysis will be to conduct a net present value analysis of the costs and benefits associated with the project. Currently the line runs with one full time employee that inspects the raw incoming potatoes for foreign matter and color. Recently, technology options are available that the company could add to the raw potato sorting function that could potentially reduce employee labor costs. This research project provides information regarding the system’s investment cost, maintenance requirements, labor savings, and finished product quality impact. As the business environment changes businesses must keep up with rapidly changing technology to be able to compete. A company that is able to compete will be able to survive in the market and sustain profitability. Capital expenditures need to be evaluated and adopted if they keep a company competitive or make a company more cost efficient. The analysis concluded that the investment of installing a raw potato sorting system would be profitable, earning a positive NPV and internal rate of return greater than Frito-lay’s cost of capital. I would recommend that Frito-Lay move forward with this investment.