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Traditional genome-editing reagents such as CRISPR-Cas9 achieve targeted DNA modification by introducing double-strand breaks (DSBs), thereby stimulating localized DNA repair by endogenous cellular repair factors. While highly effective at generating heterogenous knockout mutations, this approach suffers from undesirable byproducts and an inability to control product purity. Here we develop a system in human cells for programmable, DSB-free DNA integration using Type I CRISPR-associated transposons (CASTs). To adapt our previously described CAST systems, we optimized DNA targeting by the QCascade complex through a comprehensive assessment of protein design, and we developed potent transcriptional activators by exploiting the multi-valent recruitment of the AAA+ ATPase, TnsC, to genomic sites targeted by QCascade. After initial detection of plasmid-based transposition, we screened 15 homologous CAST systems from a wide range of bacterial hosts, identified a CAST homolog fromPseudoalteromonasthat exhibited improved activity, and increased integration efficiencies through parameter optimization. We further discovered that bacterial ClpX enhances genomic integration by multiple orders of magnitude, and we propose that this critical accessory factor functions to drive active disassembly of the post-transposition CAST complex, akin to its demonstrated role in Mu transposition. Our work highlights the ability to functionally reconstitute complex, multi-component machineries in human cells, and establishes a strong foundation to realize the full potential of CRISPR-associated transposons for human genome engineering.

This paper examines the ethical behaviour of new lawyers from two contrasting points of view. First, we review the prevalence and type of ethical misconduct by lawyers in the Australian state of Vi...

Translocation renal cell carcinoma (tRCC) is an aggressive and poorly-characterized subtype of kidney cancer driven by MiT/TFE gene fusions. Here, we define the landmarks of tRCC through an integrative analysis of 152 tRCC patients identified across multiple genomic, clinical trial, and retrospective cohorts. Most tRCCs harbor few somatic alterations apart from MiT/TFE fusions and homozygous deletions at chromosome 9p21.3 (19.2% of cases). Transcriptionally, tRCCs display a heightened NRF2-driven antioxidant response that is associated with resistance to many targeted therapies. Consistently, we find that outcomes for tRCC patients treated with vascular endothelial growth factor receptor inhibitors (VEGFR-TKI) are worse than those treated with immune checkpoint inhibition (ICI). Multiparametric immunofluorescence confirmed the presence of CD8 + tumor-infiltrating T cells compatible with a clinical benefit from ICI and revealed an exhaustion immunophenotype distinct from clear cell RCC. Our findings comprehensively define the clinical and molecular features of tRCC and may inspire new therapeutic hypotheses.

SCHED_DEADLINE (DL for short) is an Earliest-Deadline-First (EDF) scheduler included in the Linux kernel. A question motivated by DL is how EDF should be implemented in the presence of CPU affinities to maintain optimal bounded tardiness guarantees. Recent works have shown that under arbitrary affinities, DL does not maintain such guarantees. Such works have also shown that repairing DL to maintain these guarantees would likely require an impractical overhaul of the existing code. In this work, we show that for the special case where affinities are semi-partitioned, DL can be modified to maintain tardiness guarantees with minor changes. We also draw attention to the fact that admission control is already broken in several respects in the existing DL implementation.

Sarcomatoid and rhabdoid (S/R) renal cell carcinoma (RCC) are highly aggressive tumors with limited molecular and clinical characterization. Emerging evidence suggests immune checkpoint inhibitors (ICI) are particularly effective for these tumors, although the biological basis for this property is largely unknown. Here, we evaluate multiple clinical trial and real-world cohorts of S/R RCC to characterize their molecular features, clinical outcomes, and immunologic characteristics. We find that S/R RCC tumors harbor distinctive molecular features that may account for their aggressive behavior, including BAP1 mutations, CDKN2A deletions, and increased expression of MYC transcriptional programs. We show that these tumors are highly responsive to ICI and that they exhibit an immune-inflamed phenotype characterized by immune activation, increased cytotoxic immune infiltration, upregulation of antigen presentation machinery genes, and PD-L1 expression. Our findings build on prior work and shed light on the molecular drivers of aggressivity and responsiveness to ICI of S/R RCC., Sarcomatoid and rhabdoid tumours are highly aggressive forms of renal cell carcinoma that are also responsive to immunotherapy. In this study, the authors perform a comprehensive molecular characterization of these tumours discovering an enrichment of specific alterations and an inflamed phenotype.

The combination of the Internet of Things (IoT) with Serious Games is an academic domain of research increasing in popularity. Combining Serious Games with the interconnected hardware and middleware driven ecosystem of IoT develops data-driven games that source data from the local or extended physical environment to progress in the virtual environment of gaming, better-informing players through the game experience. The following paper presents the evaluation of a software framework defined for combining Serious Games and IoT, achieved using a semester-long experiment with a randomised control trial. The study aimed to produce an effective method of measuring student engagement using sensor-based information and a game environment but not improve the level of student engagement with their related academic programme. The results of the empirical experiment provide perceived evidences in the measure of engagement when compared to academic performance. The experiment results are not statistically significant due to the small sample size and the empirical nature of the work. The findings of this paper validate the effectiveness of a software framework for combining Serious Games and IoT and encourages new real-world applications of Smart Serious Games that include healthcare, education, simulation and others.

Androgen receptor (AR) signaling is the central driver of prostate cancer across disease states. While androgen deprivation therapy (ADT) is effective in the initial treatment of prostate cancer, resistance to ADT or to next-generation androgen pathway inhibitors invariably arises, most commonly through the re-activation of the AR axis. Thus, orthogonal approaches to inhibit AR signaling in advanced prostate cancer are essential. Here, via genome-scale CRISPR-Cas9 screening, we identify protein arginine methyltransferase 1 (PRMT1) as a critical mediator of AR expression and signaling. PRMT1 regulates the recruitment of AR to genomic target sites and the inhibition of PRMT1 impairs AR binding at lineage-specific enhancers, leading to decreased expression of key oncogenes, including AR itself. In addition, AR-driven prostate cancer cells are uniquely susceptible to combined AR and PRMT1 inhibition. Our findings implicate PRMT1 as a key regulator of AR output and provide a preclinical framework for co-targeting of AR and PRMT1 in advanced prostate cancer.

Androgen receptor (AR) signaling is the central driver of prostate cancer across disease states. While androgen deprivation therapy (ADT) is effective in the initial treatment of prostate cancer, resistance to ADT or to next-generation androgen pathway inhibitors invariably arises, most commonly through re-activation of the AR axis. Thus, orthogonal approaches to inhibit AR signaling in advanced prostate cancer are essential. Here, via genome-scale CRISPR/Cas9 screening, we identify protein arginine methyltransferase 1 (PRMT1) as a critical mediator of AR expression and signaling. PRMT1 regulates recruitment of AR to genomic target sites and inhibition of PRMT1 impairs AR binding at lineage-specific enhancers, leading to decreased expression of key oncogenes, including AR itself. Additionally, AR-driven prostate cancer cells are uniquely susceptible to combined AR and PRMT1 inhibition. Our findings implicate PRMT1 as a key regulator of AR output and provide a preclinical framework for co-targeting of AR and PRMT1 in advanced prostate cancer.

Sarcomatoid and rhabdoid (S/R) renal cell carcinoma (RCC) are highly aggressive tumors with limited molecular and clinical characterization. Emerging evidence suggests immune checkpoint inhibitors (ICI) are particularly effective for these tumors1–3, although the biological basis for this property is largely unknown. Here, we evaluate multiple clinical trial and real-world cohorts of S/R RCC to characterize their molecular features, clinical outcomes, and immunologic characteristics. We find that S/R RCC tumors harbor distinctive molecular features that may account for their aggressive behavior, including BAP1 mutations, CDKN2A deletions, and increased expression of MYC transcriptional programs. We show that these tumors are highly responsive to ICI and that they exhibit an immune-inflamed phenotype characterized by immune activation, increased cytotoxic immune infiltration, upregulation of antigen presentation machinery genes, and PD-L1 expression. Our findings shed light on the molecular drivers of aggressivity and responsiveness to immune checkpoint inhibitors of S/R RCC tumors.

Translocation renal cell carcinoma (tRCC) is a poorly-characterized subtype of kidney cancer driven by MiT/TFE gene fusions. Here, we define the landmarks of tRCC through an integrative analysis of 152 patients with tRCC identified across genomic, clinical trial, and retrospective cohorts. Most tRCCs harbor few somatic alterations apart from MiT/TFE fusions and homozygous deletions at chromosome 9p21.3 (19.2% of cases). Transcriptionally, tRCCs display a heightened NRF2-driven antioxidant response that is associated with resistance to targeted therapies. Consistently, we find that outcomes for patients with tRCC treated with vascular endothelial growth factor receptor inhibitors (VEGFR-TKI) are worse than those treated with immune checkpoint inhibition (ICI). Using multiparametric immunofluorescence, we find that the tumors are infiltrated with CD8(+) T cells, though the T cells harbor an exhaustion immunophenotype distinct from that of clear cell RCC. Our findings comprehensively define the clinical and molecular features of tRCC and may inspire new therapeutic hypotheses.

Social Internet-of-Things (SIoT) environment comprises not only smart devices but also the humans who interact with these IoT devices. The benefits of such system are overshadowed due to the cyber security issues. A novel approach is required to understand the security implication under such a dynamic environment while taking both the social and technical aspects into consideration. This paper addressed such challenges and proposed a 3-D security modeling platform that can capture and model the security requirements in the SIoT environment. The modeling process is graphical notation based and works as a security extension to the Business Process Model and Notation. Still, it utilizes the latest 3-D game technology; thus, the security extensions are generated through the third dimension. Consequently, the introduction of security extensions will not increase the complexity of the original SIoT scenario, while keeping all the key information on the same platform. Together with the proposed security ontology, these comprehensive security notations created a unique platform that aims at addressing the ever complicated security issues in the SIoT environment.

Efforts towards hosting safety-critical, real-time applications on multicore platforms have been stymied by a problem dubbed the “one-out-of-m” problem: due to excessive analysis pessimism, the overall capacity of an m-core platform can easily be reduced to roughly just one core. The predominant approach for addressing this problem introduces hardware-isolation techniques that ameliorate contention experienced by tasks when accessing shared hardware components, such as DRAM memory or caches. Unfortunately, in work on such techniques, the operating system (OS), which is a key source of potential interference, has been largely ignored. Most real-time OSs do facilitate the use of a coarse-grained partitioning strategy to separate the OS from user-level tasks. However, such a strategy by itself fails to address any data sharing between the OS and tasks, such as when OS services are required for interprocess communication (IPC) or I/O. This paper presents techniques for lessening the impacts of such sharing, specifically in the context of $${\textsf {MC}}^{\textsf {2}}$$ , a hardware-isolation framework designed for mixed-criticality systems. Additionally, it presents the results from micro-benchmark experiments and a large-scale schedulability study conducted to evaluate the efficacy of the proposed techniques and also to elucidate sharing vs. isolation tradeoffs involving the OS. This is the first paper to systematically consider such tradeoffs and consequent impacts of OS-induced sharing on the one-out-of-m problem.

Serious Games and the Internet of Things are research topics of high interest. The integration of these two domains has the potential for innovative new applications. This paper presents a framework for the combination of Serious Games and the Internet of Things. In addition, we present the system architecture for a Smart Serious Game ( SSG ) developed for measuring student engagement, and define the difference between an event driven game and an SSG. This paper also includes the updated data algorithms for representing student engagement as game points, based on further consideration on our previous publication.

Physical activity (PA) measurement is a crucial task in healthcare technology aimed at monitoring the progression and treatment of many chronic diseases. Traditional lifelogging PA measures require relatively high cost and can only be conducted in controlled or semi-controlled environments, though they exhibit remarkable precision of PA monitoring outcomes. Recent advancement of commercial wearable devices and smartphones for recording one’s lifelogging PA has popularized data capture in uncontrolled environments. However, due to diverse life patterns and heterogeneity of connected devices as well as the PA recognition accuracy, lifelogging PA data measured by wearable devices and mobile phones contains much uncertainty thereby limiting their adoption for healthcare studies. To improve the feasibility of PA tracking datasets from commercial wearable/mobile devices, this paper proposes a lifelogging PA intensity pattern decision making approach for lifelong PA measures. The method is to firstly remove some irregular uncertainties (IU) via an Ellipse fitting model, and then construct a series of monthly based hour-day density map images for representing PA intensity patterns with regular uncertainties (RU) on each month. Finally it explores Dempster-Shafer theory of evidence fusing information from these density map images for generating a decision making model of a final personal lifelogging PA intensity pattern. The approach has significantly reduced the uncertainties and incompleteness of datasets from third party devices. Two case studies on a mobile personalized healthcare platform MHA [1] connecting the mobile app Moves are carried out. The results indicate that the proposed approach can improve effectiveness of PA tracking devices or apps for various types of people who frequently use them as a healthcare indicator.

Background Preoperative brain injury is common in neonates with complex congenital heart disease. Increasing evidence suggests a complex interaction of prenatal and postnatal risk factors for development of brain white matter injury, called periventricular leukomalacia (PVL), in neonates with complex congenital heart disease. To date, there remains a limited understanding of the risk factors contributing to preoperative PVL in hypoplastic left heart syndrome (HLHS). Methods Neonates with HLHS or HLHS variants from 3 prospective magnetic resonance imaging studies (2003-2010) were selected for this cohort. Preoperative brain magnetic resonance imaging was performed the morning of the surgery. Stepwise multilogistic regression of patient characteristics, mode of delivery (cesarean section vs vaginal), time of diagnosis (prenatal vs postnatal), HLHS subtypes, brain total maturation score, time to surgery, individual averaged daily preoperative blood gases, and complete blood cell count values was used to determine significant associations. Results A total of 57 neonates with HLHS were born at 38.7 ± 2.3 weeks; 86% (49/57) had a prenatal diagnosis, with 31% (18/57) delivered by cesarean section. HLHS with aortic atresia (AA) was common in this cohort, 71% (41/57). Preoperative PVL was identified in 19% (11/57). Male patients with AA ( P = .004) were at higher risk for PVL. Lower total brain maturation score was also identified as a strong predictor for preoperative PVL ( P = .005). Conclusions In neonates with HLHS, nonmodifiable patient-related factors, including male sex with AA (lack of antegrade blood flow) and lower total brain maturation score, placed neonates at the greatest risk for preoperative white matter injury.

(2012). Practising Professionalism: Observations from an Empirical Study of New Australian Lawyers. Legal Ethics: Vol. 15, No. 1, pp. 29-55.

One of the advantages of farmed salmon is the consistent nature of the product and its availability. Because of the remote locations of salmon farms in British Columbia (BC), Canada, providing the freshest salmon products on a daily basis and in a cost-effective manner requires regular transport of live, market-sized adult fish at very high densities from farm sites to processing plants. Live-hauling also occurs annually when salmon smolts are moved to the farms from freshwater hatcheries and when fish are moved among farms. This article has two parts. The first part considers recent published works assessing Atlantic salmon, Salmo salar, welfare during live-haul transport between commercial aquaculture sites in BC, Canada, trips that can last for 2-12 h. These assessments involved novel methodologies, which are highlighted here. The results show that while juvenile and adult Atlantic salmon are stressed during loading into a live-haul vessel, open-hold transport in a state-of-the-art vessel promotes fish recovery, thereby alleviating some of the concerns regarding fish welfare during high-density transport. The second part of the article presents novel unpublished data on the effects on the flesh quality of Atlantic salmon of high carbon dioxide concentrations, levels that simulate those that might be encountered during closed-hold transport.

Many applications optimistically claim the title of virtual campus tour nowadays with a small minority deserving it. Throughout this paper various virtual campus tours are explored and analysed along with the problems of interior navigation. The technologies that support development of virtual worlds for computer games are studied and a solution to interior navigation and virtual campus tour derived from this technology is proposed.

Visual impairments define a wide spectrum of disabilities that vary in severity, from the need to wear glasses, to permanent loss of vision or blindness. This paper discusses the process undertaken in creating two simulators, one which emulates partially-sighted visual impairment and another focused on full -blindness. In order to create the simulators, extensive research was conducted surrounding the effects of partially-sightedness and blindness, highlighting existing software and games that promote awareness for visual impairments. This paper underlines the necessity of raising awareness for visual impairments and the effectiveness of applying serious games for this very goal. After developing the simulators, experiments were conducted to evaluate the effectiveness of it. Findings from the experiments were analysed and documented.

Travel can be an enjoyable experience but it can also be stressful when one is unable to get to the destination in timely manner. Satellite navigation systems (satnav) such as the ubiquitous Global Positioning System (GPS) provide an aid to locating unfamiliar places without hassle. However, the effectiveness of satnav stops at the doorstep of the building due to its requirement for line of sight with orbiting satellites. Within a large complex building, navigation typically relies on building signage, information from kiosks and getting assistance from information desks. The advancement of mobile devices and wireless technology offer an interesting proposition for the development of indoor positioning systems. In this paper, we propose a passive indoor positioning system to provide navigational aid and discuss findings from our pilot experiment using NFC technology.

Surveys of students in the Australian National University’s Legal Workshop Professional Legal Education (PLE) programme showed that students began and ended a core course with low levels of psychological distress. In contrast to other studies, we found no evidence of elevated symptoms of depressive symptoms and no signs that this PLE programme may impair wellbeing. While small increases in average stress symptoms were observed, this was associated with a more positive course experience. Self-perceptions of professional identity and concurrent legal employment predicted lower distress, suggesting that wellbeing is enhanced by building meaningful connections between legal education and students’ wider identities.

The cervical mucus penetration tests aid research and determine the clinical importance of positive sperm antibody tests. Limited availability and variability of human cervical mucus have instigated the search for mucus substitutes for these tests. This study compares sperm migration in cervical mucus with that in artificial media including hyaluronate solution, egg white and albumin Tyrode solution. Results were quantified by measuring the migration distance (the maximum distance of capillary migration from a semen reservoir by spermatozoa after 1 h) and the sperm concentration at half the migration distance. The mean of both measures for cervical mucus and hyaluronate solution were equivalent [4.4 +/- 1.1 (SD) versus 4.3 +/- 1.0 cm and 118 +/- 51 versus 111 +/- 44x10(3)/ml], and higher than in egg white and albumin Tyrode solution. Antisperm antibodies impaired sperm penetration in cervical mucus and hyaluronate solution in a similar manner (r = 0.92). These results suggest that hyaluronate solution sufficiently resembles human cervical mucus in terms of penetrability that it may be used as a substitute for mucus in capillary tube tests of sperm function. The higher penetrability of cervical mucus and hyaluronate solution is probably related to a channelling effect due to their polymeric structure.

Background Low incomes may not provide the minimum requirements for healthy living. We evaluated experiences of food insecurity in relation to income in inner London. Methods Subjects attending 10 general medical practices completed a short self-administered questionnaire, including the short form Household Food Security Scale and a short food frequency questionnaire. Results Responses were obtained from 431/495 (87 per cent) subjects. Overall 87 (20 per cent) of subjects were classified as food insecure. Food insecurity was negatively associated with household income (p = 0.004). University-educated subjects (8 per cent) were less often food insecure than all others (26 per cent). Subjects who were food insecure were less likely to report eating fruit daily (food secure 48 per cent, food insecure 33 per cent, p = 0.017) or vegetables or salads daily (food secure 56 per cent, food insecure 34 per cent, p = 0.002). Conclusions Experiences of food insecurity may be common in households with incomes at the level of the UK national minimum wage or lower.

Anecdotal evidence suggests new lawyers may struggle as they begin legal practice. Little is known empirically about their actual experiences. This paper provides some insights into what occurs in this transition. It reports on a qualitative study currently underway tracking new lawyers through their first year of practice. Preliminary analysis of data from interviews and from workplace observations suggests clinical legal education can play a significant role in smoothing the transition and helping new lawyers develop their sense of professionalism. into their vocational training year. We track new lawyers in the context of their post-admission practice with a small cohort of recently admitted lawyers interviewed and observed in their day to day practice.We describe what these new lawyers say is important to an effective transition – developing autonomy, learning to deal with uncertainty and finding an accommodation between their developing professional values and those modelled by their firm and colleagues. Clinical programs offer opportunities for an early reflective exposure to these experiences.

Seven patients(M7, age 33±s 6a)with hypertension after kidney transplant were treated with amlodipine 5-10 mg, po,qd,for 1 mo.The blood pressure and blood creatinine decreased(P0.01,0.05),while the endogenous creatinine clearance obviously increased (P0.05).The results pointed out that amlodipine has the effects of lowering blood pressure,protecting the transplanted kidney and improving the kidney function.

The interaction of normal human skin with low-fluence CO 2 laser irradiation was studied using a three-phase approach. In phase one, freshly excised skin was observed immediately after impact. In phase two, skin irradiated 2 h prior to excision was studied. In phase three, human volunteers were irradiated and biopsied at time zero, 24 h and 48 h. Seventy-five sites were exposed and 60 biopsies were performed. The earliest histologic changes were observed in the 6–10 J/cm 2 fluence (radiant exposure) range and these changes included spindle and vacuolar changes in the basal layer of the epidermis. Papillary dermal coagulation was present to a maximum of 0.03 mm. At fluences of 10–25 J/cm 2 , superficial dermal necrosis (0.06–0.08 mm) was observed. At fluences above 25 J/cm 2 , transepidermal necrosis was present with increasing papillary dermal necrosis that was in proportion to the energy density delivered. At 2 h, basal vacuolar changes were accompanied by diffuse keratinocytic cell death where contact was maintained between the epidermis and dermis, while where separation occurred limited keratinocytic death was observed. The earliest changes occurred at lower threshold fluences (4–6 J/cm 2 ). After 24 h, these doses resulted in extensive epidermal necrosis with focal acute inflammatory infiltrates. At 48 h, the degree of epidermal "slough" was proportional to the energy density delivered and was maximal with a fluence of 5.7 J/cm 2 delivered whereas with a fluence of 3.8 J/cm 2 thin slough (0.02 mm) was observed. These findings suggest that low-dose CO 2 laser irradiation may provide a new approach to selectively damage the epidermis with minimal dermal damage.

Game engines are one of the few solutions to providing a true virtual campus tour experience. In this paper, we explore the evolution of the virtual campus tour and thereby the current and future work of game technology within virtual touring. An investigation is conducted into the application of objective-based gamification and its ability to encourage exploration of a virtual world. We also examine virtual campus tours as an alternate form of taught content via virtual learning environments (VLEs). An investigation into the use of head mounted displays to improve immersion is also explored.

Due to the many beneficial effects on physical and mental health and strong association with many fitness and rehabilitation programs, physical activity (PA) recognition has been considered as a key paradigm for internet of things (IoT) healthcare. Traditional PA recognition techniques focus on repeated aerobic exercises or stationary PA. As a crucial indicator in human health, it covers a range of bodily movement from aerobics to anaerobic that may all bring health benefits. However, existing PA recognition approaches are mostly designed for specific scenarios and often lack extensibility for application in other areas, thereby limiting their usefulness. In this paper, we attempt to detect more gym physical activities (GPAs) in addition to traditional PA using acceleration, A two layer recognition framework is proposed that can classify aerobic, sedentary and free weight activities, count repetitions and sets for the free weight exercises, and in the meantime, measure quantities of repetitions and sets for free weight activities. In the first layer, a one-class SVM (OC-SVM) is applied to coarsely classify free weight and non-free weight activities. In the second layer, a neural network (NN) is utilized for aerobic and sedentary activities recognition; a hidden Markov model (HMM) is to provide a further classification in free weight activities. The performance of the framework was tested on 10 healthy subjects (age: 30 ± 5; BMI: 25 ± 5.5 kg/ and compared with some typical classifiers. The results indicate the proposed framework has better performance in recognizing and measuring GPAs than other approaches. The potential of this framework can be potentially extended in supporting more types of PA recognition in complex applications.

Serious Games have been established over recent years as a means of utilising gaming for applications other than entertainment. With the emergence of the Internet of Things (IoT) paradigm, a new direction for serious games arises, where data gathered from the physical environment can be utilised towards new novel applications.\ud \ud \ud \ud This literature survey uncovers existing topologies that can be applied for combining IoT with Serious Games. This paper presents findings from extensive research into IoT, Serious Games, Pervasive Games and Gamification, IoT topologies and Wireless Sensor Networks (WSN), to identify the requirements of a topology for Serious Games and IoT. By understanding the topological requirements for combining IoT and Serious Games, the development process is reduced, allowing for the advancement in the mentioned field.\ud \ud \ud \ud Three topologies are presented for combining IoT with Serious Games and a detailed topology for developing a Serious Game that monitors student attendance is presented. Also included, is an insight into the new paradigm of Smart Serious Games (SSGs). This paper will aid future research and development in SSGs determine effective network topologies.

In 2010 six Threshold Learning Outcomes (TLOs) for law were developed by the Australian Learning and Teaching Council’s Discipline Scholars: Law. One of the TLOs concerns selfmanagement. This paper considers the importance of this TLO for legal education in the context of recent research which has established elevated levels of psychological distress in law students. The paper offers a conceptual framework centred on student engagement for intentional curriculum design in relation to the implementation of the self-management TLO. It also suggests some practical strategies for implementing this TLO through the adoption of approaches focused on supporting student autonomy and reflective practice.

Lifelogging physical activity (PA) assessment is crucial to healthcare technologies and studies for the purpose of treatments and interventions of chronic diseases. Traditional lifelogging PA monitoring is conducted in non-naturalistic settings by means of wearable devices or mobile phones such as fixed placements, controlled durations or dedicated sensors. Although they achieved satisfactory outcomes for healthcare studies, the practicability become the key issues. Recent advance of mobile devices make lifelogging PA tracking for healthy or unhealthy individuals possible. However, owning to diverse physical characteristics, immaturity of PA recognition techniques, different settings from manufactories and a majority of uncertainties in real life, the results of PA measurement is leading to be inapplicable for PA pattern detection in a long range, especially hardly exploited in the wellbeing monitoring or behaviour changes. This paper investigates and compares uncertainties of existing mobile devices for individual's PA tracking. Irregular uncertainties (IU) are firstly removed by exploiting Ellipse fitting model, and then monthly density maps that contain regular uncertainties (RU) are constructed based on metabolic equivalents (METs) of different activity types. Five months of four subjects PA intensity changes using the mobile app tracker Moves [1] and Google Fit app on wearable device Samsung wear S2 are carried out from a mobile personalised healthcare platform MHA [2]. The result indicates that uncertainty of PA intensity monitored by mobile phone is 90% lower than wearable device, where the datasets tend to be further explored by healthcare/fitness studies. Whilst PA activity monitoring by mobile phone is still a challenging issue by far due to much more uncertainties than wearable devices.

Student Engagement has been a strong topic of research for the avoidance of student drop out and the increase in grading. Serious games have highlighted benefi ts in engaging students, primarily through edutainment, educating via games. This article suggests a Computer Algorithm, purposed at measuring and encouraging student engagement. In addition, the algorithm accounts for sensor networks accessed both directly and through the Internet, extending its application to the Internet of Things (IoT).