Den extraarbetande studenten

Studenters ekonomi är ofta i fokus, både i media och i folkmun. Det talas ofta höjt studiestöd men också om studenternas vanor kring extraarbete. En del anklagar dem för att vara ovilliga att arbeta extra medan andra påpekar det faktum att en heltidsstudent förväntas lägga ner 40 timmar i veckan på sina studier. Syftet med föreliggande studie var att applicera Theory of Planned Behavior för att undersöka de psykologiska faktorernas inverkan på graden av extraarbete med hjälp av en enkätundersökning. Resultaten tolkades med en multipel regressionsanalys och olika oberoende variansanalyser. Studien visade att ”Attityd mot beteendet” och ”Upplevd beteendekontroll” var de psykologiska faktorer som bäst samvarierade med graden av extraarbete. Studien visade även att studenternas ålder inte var avgörande för hur mycket studenterna valde att arbeta extra. Samtliga studenter (N=50) som deltog i undersökningen var vid genomförandet heltidsstudenter samt arbetade extra minst en gång per vecka

Conscious access and complexity of visual features

Imagine you are in your car driving to meet a friend at a restaurant you have never been to before. As an experienced driver, you don’t need to deliberately direct your gaze. Instead, your attention is automatically drawn to crossings far off in the distance, other moving vehicles, and relevant road signs. Without having to assert effort, your brain suppresses details in your immediate surroundings to enhance relevant information. When you arrive at the restaurant, you swiftly search through the crowd of strangers, assessing whether everyone is your friend within a fraction of a second. Your brain effortlessly evaluates each person with templates in your memory, first on crude features such as hair colour or height, and for anyone who fits these criteria, assessment is carried out on finer facial features. With our ability to use logical inferences based on experience we build templates of a target, which we use to efficiently scan through our environment. Regardless of how mundane this everyday task might seem; its completion requires several fundamental computational problems to be overcome. When driving a car and when searching a crowded room, you need to selectively enhance and suppress visual information, as processing all information equally is an inefficient use of resources. It can take several hundred milliseconds to fully process a complex natural scene (Kar et al., 2019), meaning that the processing of several visual objects must be happening in parallel. To add to this complexity, humans are continuously updating their goals (first, search for the bar across the whole room, then search for a person at the bar) based on information we are gaining within each moment. In this dissertation, I will address how the brain organizes information into categories, how items that are processed in parallel can interfere with each other, and at what levels of processing these interferences occur

Artificial Intelligence, 3D Documentation, and Rock Art - Approaching and Reflecting on the Automation of Identification and Classification of Rock Art Images

Rock art carvings, which are best described as petroglyphs, were produced by removing parts of the rock surface to create a negative relief. This tradition was particularly strong during the Nordic Bronze Age (1700–550 BC) in southern Scandinavia with over 20,000 boats and thousands of humans, animals, wagons, etc. This vivid and highly engaging material provides quantitative data of high potential to understand Bronze Age social structures and ideologies. The ability to provide the technically best possible documentation and to automate identification and classification of images would help to take full advantage of the research potential of petroglyphs in southern Scandinavia and elsewhere. We, therefore, attempted to train a model that locates and classifies image objects using faster region-based convolutional neural network (Faster-RCNN) based on data produced by a novel method to improve visualizing the content of 3D documentations. A newly created layer of 3D rock art documentation provides the best data currently available and has reduced inscribed bias compared to older methods. Several models were trained based on input images annotated with bounding boxes produced with different parameters to find the best solution. The data included 4305 individual images in 408 scans of rock art sites. To enhance the models and enrich the training data, we used data augmentation and transfer learning. The successful models perform exceptionally well on boats and circles, as well as with human figures and wheels. This work was an interdisciplinary undertaking which led to important reflections about archaeology, digital humanities, and artificial intelligence. The reflections and the success represented by the trained models open novel avenues for future research on rock art

The influence of the design of removable dentures on patient's voice quality

Background: The protozoan parasite Giardia intestinalis and the pathogenic bacterium Helicobacter pylori are well known for their high prevalences in human hosts worldwide. The prevalence of both organisms is known to peak in densely populated, low resource settings and children are infected early in life. Different Giardia genotypes/assemblages have been associated with different symptoms and H. pylori with induction of cancer. Despite this, not much data are available from sub-Saharan Africa with regards to the prevalence of different G. intestinalis assemblages and their potential association with H. pylori infections. Methodology/Principal Findings: Fecal samples from 427 apparently healthy children, 0-12 years of age, living in urban Kampala, Uganda were analyzed for the presence of H. pylori and G. intestinalis. G. intestinalis was found in 86 (20.1%) out of the children and children age 1<5 years had the highest rates of colonization. H. pylori was found in 189 (44.3%) out of the 427 children and there was a 3-fold higher risk of concomitant G. intestinalis and H. pylori infections compared to non-concomitant G. intestinalis infection, OR = 2.9 (1.7-4.8). No significant association was found in the studied population with regard to the presence of Giardia and gender, type of toilet, source of drinking water or type of housing. A panel of 45 G. intestinalis positive samples was further analyzed using multi-locus genotyping (MLG) on three loci, combined with assemblage-specific analyses. Giardia MLG analysis yielded a total of five assemblage AII, 25 assemblage B, and four mixed assemblage infections. The assemblage B isolates were highly genetically variable but no significant association was found between Giardia assemblage type and H. pylori infection. Conclusions/Significance: This study shows that Giardia assemblage B dominates in children in Kampala, Uganda and that the presence of H. pylori is an associated risk factor for G. intestinalis infection

Use of expressed sequence tags as an alternative approach for the identification of Taenia solium metacestode excretion/secretion proteins

BACKGROUND: Taenia solium taeniasis/cysticercosis is a zoonotic helminth infection mainly found in rural regions of Africa, Asia and Latin America. In endemic areas, diagnosis of cysticercosis largely depends on serology, but these methods have their drawbacks and require improvement. This implies better knowledge of the proteins secreted and excreted by the parasite. In a previous study, we used a custom protein database containing protein sequences from related helminths to identify T. solium metacestode excretion/secretion proteins. An alternative or complementary approach would be to use expressed sequence tags combined with BLAST and protein mapping to supercontigs of Echinococcus granulosus, a closely related cestode. In this study, we evaluate this approach and compare the results to those obtained in the previous study. FINDINGS: We report 297 proteins organized in 106 protein groups based on homology. Additional classification was done using Gene Ontology information on biological process and molecular function. Of the 106 protein groups, 58 groups were newly identified, while 48 groups confirmed previous findings. Blast2GO analysis revealed that the majority of the proteins were involved in catalytic activities and binding. CONCLUSIONS: In this study, we used translated expressed sequence tags combined with BLAST and mapping strategies to both confirm and complement previous research. Our findings are comparable to recent studies on other helminth genera like Echinococcus, Schistosoma and Clonorchis, indicating similarities between helminth excretion/secretion proteomes

Incidence, Etiology, and Outcomes of Community-Acquired Pneumonia: A Population-Based Study

To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked FilesBACKGROUND: The microbial etiology of community-acquired pneumonia (CAP) is often unclear in clinical practice, and previous studies have produced variable results. Population-based studies examining etiology and incidence are lacking. This study examined the incidence and etiology of CAP requiring hospitalization in a population-based cohort as well as risk factors and outcomes for specific etiologies. METHODS: Consecutive admissions due to CAP in Reykjavik, Iceland were studied. Etiologic testing was performed with cultures, urine-antigen detection, and polymerase chain reaction analysis of airway samples. Outcomes were length of stay, intensive care unit admission, assisted ventilation, and mortality. RESULTS: The inclusion rate was 95%. The incidence of CAP requiring hospitalization was 20.6 cases per 10000 adults/year. A potential pathogen was detected in 52% (164 of 310) of admissions and in 74% (43 of 58) with complete sample sets. Streptococcuspneumoniae was the most common pathogen (61 of 310, 20%; incidence: 4.1/10000). Viruses were identified in 15% (47 of 310; incidence: 3.1/10000), Mycoplasmapneumoniae were identified in 12% (36 of 310; incidence: 2.4/10000), and multiple pathogens were identified in 10% (30 of 310; incidence: 2.0/10000). Recent antimicrobial therapy was associated with increased detection of M pneumoniae (P < .001), whereas a lack of recent antimicrobial therapy was associated with increased detection of S pneumoniae (P = .02). Symptoms and outcomes were similar irrespective of microbial etiology. CONCLUSIONS: Pneumococci, M pneumoniae, and viruses are the most common pathogens associated with CAP requiring hospital admission, and they all have a similar incidence that increases with age. Symptoms do not correlate with specific agents, and outcomes are similar irrespective of pathogens identified.Icelandic Center for Research, Rannis Landspitali University Hospital Science Fund University of Iceland Research Fun

SARS-CoV-2 variants of concern and spike protein mutational dynamics in a Swedish cohort during 2021, studied by Nanopore sequencing

From Springer Nature via Jisc Publications RouterHistory: received 2022-04-21, rev-recd 2022-09-08, accepted 2022-10-05, registration 2022-10-10, pub-electronic 2022-10-18, online 2022-10-18, collection 2022-12Acknowledgements: Acknowledgements: We are immensely grateful to all our co-workers at the Section for Clinical Microbiology and Hospital Hygiene at Uppsala University Hospital, who PCR tested all the COVID-19 samples and consequently extracted the viral RNA for us from the positive samples. Secondly, we are deeply thankful to Tor-Elesh Albrigtsen for the remarkable assistance with data science, analysis and programming in Python.Publication status: PublishedFunder: Science for Life Laboratory; doi: http://dx.doi.org/10.13039/501100009252; Grant(s): ZSC – National core facility for pandemic preparednessFunder: Scandinavian Society for Antimicrobial Chemotherapy Foundation; doi: http://dx.doi.org/10.13039/501100011777; Grant(s): SLS-961049Funder: Erik, Karin and Gösta Selander Foundation; Grant(s): 2022Funder: Regionala Forskningsrådet Uppsala/Örebro; doi: http://dx.doi.org/10.13039/100019032; Grant(s): RFR-930984Funder: Uppsala UniversityAbstract: Background: Since the beginning of the COVID-19 pandemic, new variants of significance to public health have emerged. Consequently, early detection of new mutations and variants through whole-genome sequencing remains crucial to assist health officials in employing appropriate public health measures. Methods: We utilized the ARTIC Network SARS-CoV-2 tiled amplicon approach and Nanopore sequencing to sequence 4,674 COVID-19 positive patient samples from Uppsala County, Sweden, between week 15 and 52 in 2021. Using this data, we mapped the circulating variants of concern (VOC) in the county over time and analysed the Spike (S) protein mutational dynamics in the Delta variant throughout 2021. Results: The distribution of the SARS-CoV-2 VOC matched the national VOC distribution in Sweden, in 2021. In the S protein of the Delta variant, we detected mutations attributable to variants under monitoring and variants of interest (e.g., E484Q, Q613H, Q677H, A222V and Y145H) and future VOC (e.g., T95I and Y144 deletion, which are signature mutations in the Omicron variant). We also frequently detected some less well-described S protein mutations in our Delta sequences, that might play a role in shaping future emerging variants. These include A262S, Q675K, I850L, Q1201H, V1228L and M1237I. Lastly, we observed that some of the Delta variant’s signature mutations were underrepresented in our study due to artifacts of the used bioinformatics tools, approach and sequencing method. We therefore discuss some pitfalls and considerations when sequencing SARS-CoV-2 genomes. Conclusion: Our results suggest that genomic surveillance in a small, representative cohort can be used to make predictions about the circulating variants nationally. Moreover, we show that detection of transient mutations in currently circulating variants can give valuable clues to signature mutations of future VOC. Here we suggest six such mutations, that we detected frequently in the Delta variant during 2021. Lastly, we report multiple systematic errors that occurred when following the ARTIC Network SARS-CoV-2 tiled amplicon approach using the V3 primers and Nanopore sequencing, which led to the masking of some of the important signature mutations in the Delta sequences

Prevalence of SARS-CoV-2 Omicron Sublineages and Spike Protein Mutations Conferring Resistance against Monoclonal Antibodies in a Swedish Cohort during 2022–2023

Monoclonal antibodies (mAbs) are an important treatment option for COVID-19 caused by SARS-CoV-2, especially in immunosuppressed patients. However, this treatment option can become ineffective due to mutations in the SARS-CoV-2 genome, mainly in the receptor binding domain (RBD) of the spike (S) protein. In the present study, 7950 SARS-CoV-2 positive samples from the Uppsala and Örebro regions of central Sweden, collected between March 2022 and May 2023, were whole-genome sequenced using amplicon-based sequencing methods on Oxford Nanopore GridION, Illumina MiSeq, Illumina HiSeq, or MGI DNBSEQ-G400 instruments. Pango lineages were determined and all single nucleotide polymorphism (SNP) mutations that occurred in these samples were identified. We found that the dominant sublineages changed over time, and mutations conferring resistance to currently available mAbs became common. Notable ones are R346T and K444T mutations in the RBD that confer significant resistance against tixagevimab and cilgavimab mAbs. Further, mutations conferring a high-fold resistance to bebtelovimab, such as the K444T and V445P mutations, were also observed in the samples. This study highlights that resistance mutations have over time rendered currently available mAbs ineffective against SARS-CoV-2 in most patients. Therefore, there is a need for continued surveillance of resistance mutations and the development of new mAbs that target more conserved regions of the RBD.Acknowledgements: We would like to thank the personnel at Clinical Microbiology and Hospital Hygiene, Uppsala University Hospital for their help with handling samples, RNA extraction, PCR, and whole-genome sequencing.Funder: Regional Research Council Mid Sweden; Grant(s): RFR-98011