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The stem cell-supporting small molecule UM171 triggers Cul3-KBTBD4-mediated degradation of ELM2 domain-harboring proteins

To chemically modulate the ubiquitin-proteasome system for degradation of specific target proteins is currently emerging as an alternative therapeutic modality. Earlier we discovered such properties of the stem cell-supporting small molecule UM171 and identified that members of the CoREST complex (RCOR1 and LSD1) are targeted for degradation. UM171 supports the in vitro propagation of hematopoieti

Moisture-dependent response of soil carbon mineralization to temperature increases in a karst wetland on the Yunnan-Guizhou Plateau

Wetlands are facing gradual drying, leading to large carbon loss due to the transformation from anaerobic to aerobic conditions, but the temperature and drought effects from the temperature and moisture fluctuation on soil organic carbon (SOC) mineralization remain uncertain. An incubation study with three moisture levels (100%, 60%, and 40% WHC, marked as W100, W60, and W40, respectively) and fou

Role of quasiparticle structure in α decay of superheavy nuclei

We use the superfluid tunneling model (STM) to calculate the half-lives of α decays of odd-A and odd-odd superheavy nuclei (SHN) with Z≥100 and A≥250. The experimental data are reproduced to accuracies comparable to other contemporary models of the α decay of the SHN. We then apply the STM to examine the influence of the quasiparticle structure on the properties of the chains of α decays arising f

Preventing falls with the LIVE-LIFE program: Pilot outcomes of a multicomponent OT-led intervention addressing health-related and home-related fall risks in community-living older adults

Introduction: There are multiple contributors to falls in older adults. Both health-related (poor balance, polypharmacy, and poor vision), and home-related (home hazards). However, most fall risk interventions only address one or two. The successful Lifestyle Intervention Functional Exercise (LiFE) program could likely be developed into a multicomponent intervention. Objectives: The objectives wer

Suddenly at risk: Older adults’ changes in everyday life early on during the COVID-19 pandemic

ABSTRACT:Introduction / Rationale: From the onset of the COVID-19 pandemic, social distancing was recommended for adults 70 years and older (70+) in Sweden. From an outside view, they then became deprived of possibilities to engage in meaningful activities. However, as meaning is highly subjective, we need to listen to older adults’ voices to really know.Objectives: To explore how adults 70+ exper

Ekonomiska och sociala konsekvenser av och risker med en koncentration av fiskemöjligheter till ett mindre antal aktörer

Havs- och vattenmyndigheten har föreslagit att svenskt demersalt fiske (fiske efter bottennära arter som räka, kräfta, torsk) ska regleras med överlåtbara fiskerättigheter. En förväntad effekt av detta är en koncentration av fisket till färre men större företag. Illustrativa exempel från isländskt fiske och det svenska pelagiska fisket (sill, skarpsill, makrill) som förvaltas med liknande system v

Goda råd för att minska klimat- och luftpåverkan - hur fungerar informationsinsatser riktade till jordbruket?

Jordbruket är en av de sektorer i samhället som har störst klimatpåverkan genom utsläppet av växthusgaser och användningen av mark. Samtidigt är jordbruket den huvudsakliga källan till utsläppet av ammoniak i Sverige. Ammoniak kan i sin tur bilda hälsovådliga partiklar. Att minska klimatpåverkan och luftutsläpp kan därför vara av stor betydelse för att nå uppsatta miljömål. Till skillnad från andr

An examination of distress tolerance, anxiety sensitivity, and intolerance of uncertainty in adults in routine psychiatric care

AimA person's ability to tolerate negative emotional states (Distress Tolerance - DT), uncertainty in their everyday lives (Intolerance of Uncertainty - IU), and a tendency to appraise their own feelings of anxiety as harmful (Anxiety Sensitivity - AS) have all been identified as vulnerability factors for anxiety and depressive disorders. However, the relationship between these variables and broad

Implementing Electronic Management of Assessment and Feedback in Higher Education

All assessments are events within a process that has the goal of making decisions about instruction, learning, curriculum, students, institutions, and consequences. Three underlying disciplines (i.e., psychometrics, psychology, and sociology) inform the evaluation of assessments. Error is ubiquitous in the selection of tasks that constitute an assessment, the administration, marking, reporting, an

Working towards the inclusive campus : A partnership project with students of colour in a university reform initiative

Much has been written about valuing the student voice in UK higher education. The discussion runs alongside an increasing focus from university leadership on improving students’ experiences, and development of the ways in which the student voice is captured, considered, and acted upon. These techniques are central to understanding and developing student engagement (Brooman et al. 2014; Cook-Sather

The role of internal and external moderation for assuring academic standards

Drawing on the review of quality assurance policies in higher education already set out of the introduction, this chapter explores the impact of national quality assurance processes adopted to aid consistency in the judgement of academic standards in UK higher education. Specifically, it will examine the ways in which the processes adopted to support marking and to moderate marks, known collective

The greater/public good and research impact

“Those who can make you believe absurdities can make you commit atrocities” is a famous aphorism commonly attributed to Voltaire. The choice to publish under an alias for François-Marie Arouet, reveals that there was some sort of awareness of the relationship between power, knowledge, truth and people’s tyrannical tendencies on his part. What our dear enlightened friend could most likely not fores

Machine-Learning Approach to Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Cultivation

We train and compare the performance of two machine learning methods, a multi-variate regression network and a ResNet-50-based neural network, to learn and forecast plant biomass as well as the relative growth rate from a short sequence of temporal images from plants in aeroponic cultivation. The training dataset consists of images of 57 plants taken from two different angles every hour during a 5

Yield Prediction for Winter Wheat with Machine Learning Models Using Sentinel-1, Topography, and Weather Data

We train and compare the performance of two different machine learning algorithms to learn changes in winter wheat production for fields from the southwest of Sweden. As input to these algorithms, we use cloud-penetrating Sentinel-1 polarimetry radar data together with respective field topography and local weather over four different years. We note that all of the input data were freely available.