37 research outputs found
The Visitors
No full text157 pagesMFA theses in English Language and Literature are not available for direct download. Users wishing to access an MFA thesis in this collection may request access by clicking the link to the restricted file(s) and completing the request form. If we have contact information for the author, we will contact them and request permission to provide access. If we do not have contact information or the author denies or does not respond to our inquiry, we will not be able to provide access.A novel that follows four women from Karachi, Pakistan, estranged friends who come back together in the wake of a tragedy in one of their lives.10000-01-0
V kolì Andriâ Šeptic'kogo : Ukraïns'ke kul'turne vìdrodžennâ za časìv mecenatstva mitropolita
No full textTekst jest pierwszym w języku polskim studium o mecenacie Andrzeja Szeptyckiego (1865-1944), greckokatolickiego metropolity lwowskiego (1900-1944). Autor opisuje dzieła Szeptyckiego: szkolę ikon, Narodowe Muzeum Ukraińskie we Lwowie, mecenat nad ukraińską sztuką nowoczesną, ukraińskie organizacje artystyczne (SPUOM, GDUM, ANUM) i wystawy sztuki ukraińskiej w czasie II wojny światowej we Lwowie. Tekst zawiera unikatowy wykaz ok. 150 artystów ukraińskich z kręgu Andrzeja Szeptyckiego.The text is the first study in Polish on art patronage by Andrej Sheptyckyj (1865-1944), the Greek Catholic metropolite of Lwow (1900-1944). The author describes Sheptyckyj's works: the school of icons, the National Ukrainian Museum in Lwow, patronage for Ukrainian modern art, Ukrainian artistic organizations (SPUOM, GDUM, ANUM) and Ukrainian art exhibitions in Lwow in the time of the World War II. The text contains the unique register (the list) of circa 150 Ukrainian artists from the Andrej Sheptyckyj's circle
Alienation and the Dilemma of Man in Eugene O’Neill’s The Hairy Ape
No full textEugene O\u27 Neill, an American playwright was born into a troubled and an upset family on October 16, 1888. Eugene O’ Neill had a quite precarious, wobbly and uneven adolescence as his elder brother was an affirmed alcoholic whereas his mom was a drug addict. This research paper analyzes the alienation, dilemma and the futile struggle of man in the quest of his identity. O\u27Neill followed the course of a superior and advanced writer looking for a profound focus in the entirety of his significant works. His perspective on humankind in his dramatizations is basically sad and heartbreaking. The author needed to cause man to feel free from all worries and inhale outside fresh air and build up a feeling of having a place in the general public in which he lived. However, it was impractical
Automated Segmentation of Metastatic Lymph Nodes in Lymphoma Patients
No full textVed å bruke det kunstige nevrale nettverket 2D U-Net, tester denne masteroppgaven nøyaktigheten til 2D U-Net med formålet om å automatisk segmentere ondartede svultser i PET/MR-bilder av pasienter med metastatisk lymfom.
For Hodgkin- og Non-Hodgkin-lymfom er FDG PET/MR-segmenteringene viktige for prognose, stadieinndeling (staging) og responsvurdering av lymfompasienter. Manuelle segmenteringer er imidlertid tidkrevende og vanskelige i komplekse pasienttilfeller der en har høy sykdomsbyrde. Målet med dette prosjektet er å utvikle en automatisert metode for segmentering av kreftrammede lymfeknuter i PET/MR ved bruk av dyp læring (deep learning), nærmere bestemt et dypt kunstig nevralt nettverk. FDG PET/MR-baseline, interim- og behandlingsavslutningsbilder (EOT) av Hodgkin- og Non-Hodgkin-lymfompasienter ble analysert. To grupper radiologer og nukleærmedisinere har bidratt med klinisk lesing av PET/MR-bildene etter standardiserte protokoller. Imidlertid manglet de faktiske segmenteringene, m.a.o segmenterings fasiten, fra lymfomdatasettet, og disse var avgjørende for å implementere dyplæringsnettverket for en automatisert segmenteringsprosess. De manuelle segmenteringene som krevdes ble utført av forfatteren og validert av en nukleærmedisiner fra St.Olavs Hospital.
Den nevrale nettverksmodellen ble lært hvordan man utfører klassifiseringsoppgaver direkte fra bilder, dvs. nettverket ble opplært til å gjenkjenne mønstre fra et datasett bestående av 64 PET/MR-undersøkelser. Et 3-kanals multimodalt bilde, et RGB-bilde, bestående av PET, T2-HASTE og DWI med b = 800 s/mm^{2} ble brukt som input for algoritmen, og modellen ble lært til å gjenskape segmenteringene i grunnsannheten (segmenterings fasiten) ved å bruke en 2D U-Net-arkitektur.
Videre ble lymfomdatasettet delt inn i et 85/15-forhold for trening og testing som bestod av henholdsvis 53 og 11 PET/MR-undersøkelser. Både en 4-fold og 13-fold kryssvalidering ble utført for opplæringen av modellen. Valideringen resulterte i gjennomsnittlige Dice-score (overlappingsmål) på henholdsvis 0,61 og 0,63 for 4-fold og 13-fold modellene. Flere andre evaluaringer som tap, nøyaktighet, presisjon, tilbakekalling, negativ prediktiv verdi (NPV) og spesifisitet ble inkludert for voxel-nivåanalysen. Resultatene var 0,011, 0,97, 0,83, 0,11, 0,97, 0,99, henholdsvis for 4-fold valideringen og 0,065, 0,97, 0,90, 0.10, 0,97, 0,99, henholdsvis for 13-fold valideringen. Den gjennomsnittlige dice scoren til testpasientene var henholdsvis 0,29 og 0,32 for 4-fold og 13-fold kryssvalidering, noe som antyder en dårligere ytelse på nye og usette pasienter sammenlignet med PET/MR-undersøkelsene brukt i valideringen. Til tross for de generelt høye verdiene for evalueringsmetodene, ga den voxelbaserte analysen ingen god indikasjon på hvor nøyaktig modellen klarte å segmentere kreftlesjoner ettersom flertallet av vokslene i pasientene ble klassifisert som ekte negative (TN). Derfor ble det utført en lesjonsbasert analyse, og den avslørte at modellen ofte segmenterte færre lesjoner enn det som var tilstede i grunnsannheten. Dette indikerte at modellens hovedbegrensning var antallet falske negative predikerte kreftsvultser. Som en konsekvens, presterer modellen bedre på valideringsdataene enn for testdatasettet som ble ekskludert fra opplæringen.
For å konkludere, så segmenterer den trente 2D U-Net-modellen automatisk ondartede lymfeknutesvultser i 3-kanals multimodale bilder. Fremtidig arbeid bør fokusere på å forbedre overlappingsmålet dice score, co-registreringen, redusere antall uoppdagede tumorlesjoner, samt øke datasettet for å sikre en større variasjon i kohorten. Dette kan forbedre både treningen og resultatene.Using the deep learning artificial neural network 2D U-Net, this project tests the accuracy of the 2D U-Net for the purpose of automatically segmenting malignant lesions in PET/MR images of patients with metastatic lymphoma.
For Hodgkin and Non-Hodgkin lymphoma, the FDG PET/MRI segmentations are important for prognosis, staging, and response assessment of lymphoma patients. However, manually segmentations are time-consuming and difficult in complex patient cases and for high disease burden. The aim of this project is to develop an automated method for segmentation of cancer-affected lymph-nodes in PET/MRI using a deep neural network.
FDG PET/MRI baseline, interim, and End-Of-Treatment (EOT) images of Hodgkin and Non-Hodgkin lymphoma patients were analyzed. Two groups of radiologist and nuclear medicine physicians have contributed with clinical reading of the PET/MR images following standardized protocols. However, the segmentation ground truth was missing from the lymphoma dataset, and it was crucial for implementing the deep learning network for an automated segmentation process. The manual segmentation required has therefore been performed by the author and validated by a nuclear medicine physician from St. Olavs Hospital.
The neural network model was taught how to perform classification tasks directly from images, i.e., the network was trained to recognize patterns from a dataset consisting of 64 PET/MRI examinations. A 3-channel multi-modal image, i.e., an RGB image, consisting of a PET, a T2-HASTE, and a DWI with b = 800 s/mm^{2} was used as input for the algorithm. The model was trained to replicate the segmentations of the ground truth by using a 2D U-Net architecture.
Furthermore, the lymphoma dataset was divided in a 85/15 ratio for training and testing consisting of 53 and 11 PET/MRI examinations, respectively. Both a 4-fold and 13-fold cross-validation were performed for the training of the model. The validation resulted in average dice scores of 0.61 and 0.63 respectively for the 4-fold and 13-fold trained models. Several other metrics such as loss, accuracy, precision, recall, Negative Predictive Value (NPV), and specificity were included for the voxel level analysis. The scores were 0.011, 0.97, 0.83, 0.11, 0.97, 0.99, respectively for the 4-fold validation and 0.065, 0.97, 0.90, 0.10, 0.97, 0.99, respectively for the 13-fold validation. The average dice score of the testing patient were 0.29 and 0.32 respectively for the 4-fold and 13-fold cross-validation which suggested an inferior performance on unseen patients compared to the PET/MRI examinations used in the validation. Despite the overall high scores for the evaluation metrics, the voxel based analysis did not give a great indication of how well the model managed to segment cancer lesions due to the majority of the voxels in a patient being classified as true negative. Therefore, a lesion-based analysis were conducted and it revealed that the model often segmented fewer lesions than in the ground truth. This indicated that the model's main limitation was the number of false negative predicted lesions. As a consequence, the model performs better on the validation data than for the testing dataset which was excluded from the training.
In conclusion, the trained 2D U-Net model automatically segments malignant lymph node lesions in the 3-channel multi-modal images. However, future research should focus on improving the dice score, co-registration, decrease the number of undetected tumor lesions, and increase the dataset to ensure a larger variation in the cohort. This will benefit the training and yield better results
Novel and Ultra-Rare Heterozygous Mis-Sense LMNA Variants Causing Familial Partial Lipodystrophy
No full textThe attached file includes case descriptions and supplementary tables. This submission meets the Extended Data Sets and Supplemental Materials requirements that are included in author guidelines for the Journal of Clinical Endocrinology & Metabolism (Print ISSN 0021-972X, Online ISSN 1945-7197).Figure references for two patients needed to be corrected. A revised version of the file was uploaded on 2025-05-14 at the author's request
DEVELOPMENT OF COST-EFFECTIVE AND NUTRITIOUS SNACK BAR FROM LOCALLY AVAILABLE INGREDIENTS
No full textBackground: The development of ready-to-eat meal replacement bars that provide health benefits, such as low-calorie content and increased levels of protein, fiber, and antioxidants, is essential given current consumer trends. Objectives: This project aimed to evaluate the acceptability of a snack bar made with local ingredients. This study aimed to manufacture a snack bar nutritionally enriched with local ingredients such as "roasted black chickpeas", nuts, and underutilized seeds. Methodology: It was an Experimental study. The proximate analysis of the snack bar was performed. At least 30 snack bars were formed, and their sensory qualities were subsequently evaluated by the 40 members of an expert panel using 9 points hedonic scale. Results: The weight of the sample is 40 g and proximate analysis was done. The samples\u27 nutrient content and sensory properties were assessed. According to the proximate analysis report, the snack bar has a dry matter of 83.42%, moisture of 16.58%, crude protein of 16.65%, a crude fiber of 11.72%, ether extract of 31.27%, ash of 3.03%, and nitrogen free extract 37.34%. Conclusion: In conclusion, snack bars can easily be enriched with roasted chickpeas. The proximate analysis of the bar indicated that it was rich in macronutrients. The cost analysis of the bar revealed that by using local ingredients inexpensive healthy snack bars can be produced
THE INFLUENCE OF NET PROFIT MARGIN AND DEBT TO EQUITY RATIO ON STOCK PRICES AT PT INDOCEMENT TUNGGAL PRAKARSA TBK. PERIOD 2012-2023
No full textThis research aims to determine the effect Net Profit Margin (NPM) and Debt to Equity Ratio (DER) on share prices at PT Indocement Tunggal Prakarsa Tbk for the 2012-2023 period, both partially and simultaneously. The research method used by the author in compiling this thesis is a quantitative method, namely conducting research that describes the company's financial condition expressed in numerical form. The data used is secondary data in the form of financial reports of PT Indocement Tunggal Prakarsa Tbk for a period of 12 years from 2012-2023. The analytical methods used are classical assumption tests, multiple regression analysis, coefficient of determination and hypothesis testing. The research results show that partially Ner Profit Margin (NPM) does not have a significant effect on share prices where the calculated t value < t table is 0.563 < 1.83311 with a significance value of 0.587 > 0.05. Partially Debt to Equity Ratio (DER) has a significant effect on stock prices where the calculated t value > t table is -3.314 > 1.83311 with a significant value of 0.009 < 0.05. Simultaneously NPM and DER have a significant effect on share prices where the calculated F value > F table is 10.78 > 4.26 with a significant value of 0.004 < 0.05.
ANALISIS PERTIMBANGAN HAKIM TERHADAP BUKTI A CHARGE OLEH JUDEX FACTIE YANG BERIMPLIKASI PADA PEMBATALAN PUTUSAN JUDEX FACTIE DALAM TINDAK PIDANA PERKOSAAN (Studi Kasus Putusan Nomor : 45/Pid.B/2020/PN.Olm dan Putusan Nomor 92/K.Pid/2020)
No full textThis research aims to determine and analyze the form of the judge's consideration of the evidence carried out by the judge who was accused by judex factie in Decision Number: 45/Pid.B/2020/PN.Olm and the manifestation of material truth in the judge's decision in judex factie. The legal problem or legal issue that is the subject of discussion in this research is the judge's consideration of the evidence presented by the public prosecutor in the judex factie case and the material truth of the judge's consideration in the judex factie case. The aim of this research is to determine and analyze the form of consideration by the judge in the judex factie court regarding the rape committed by the defendant and the realization of material truth in the judex factie judge's consideration which can impose a crime. The research method that the author uses is normative research which refers to legal norms contained in statutory regulations. Based on the research results of the Study of Decision Number: 45/Pid.B/2020/PN.Olm and Decision Number 992/K.Pid/2020, the panel of judges' considerations were based on the facts at the trial where these facts were relevant to the witness' testimony - existing witnesses. The material truth in judex factie is based on evidence linked to witnesses regarding the panel of judges' inability to decide the case
СПІВПРАЦЯ ЛЕВА ҐЕЦА З АСОЦІАЦІЄЮ НЕЗАЛЕЖНИХ УКРАЇНСЬКИХ МИТЦІВ 1931-1939 рр.
No full textThe exhibition activity of Lev Gets (1896-1971) was presented for the first time in the projects of the Association of Independent Ukrainian Artists – ANUM (Asotsiatsiyi Nezalezhnykh Ukrayinsʹkykh Mysttsiv) (1931-1939). The exhibition activity of ANUM – interwar Lviv&#39;s most famous art organization, is briefly reviewed. This article includes a brief overview of the Association&#39;s exhibition projects and the creative collaboration of Lev Gets, in particular, the personal exhibition of the artist in 1934 organized by ANUM. Thanks to membership in the Association, Gets`s works were exhibited not only in Lviv museums but also in European exhibition halls. It has been established that the interwar decades were creatively productive: Lev Gets was actively engaged in painting and graphics, exploring his author&#39;s style. Numerous paintings of this period are filled with subjective and deeply personal experiences, which became the embodiment of artistic and emotional expressions of the interwar decades.
This study includes the historical documents of Lviv, the Institute of National Memory (Instytut Pamięci Narodowej), the archives of the Historical Museum in Sanok and the Biblioteca Vallicelliana in Rome (Italy), printed materials of periodicals of that period.All archival materials, descriptions and inventory of museum and archive files are being published for the first time. The participation of Lev Gets in the exhibition activities of the Association of Independent Ukrainian Artists, and his artistic creativity in the 1930s remained unexplored until today.The purpose of the article is to present the work of Lev Gets in the exhibition projects of the Association of Independent Ukrainian Artists in 1931-1939.Уперше представлено виставкову діяльність Лева Ґеца (1896-1971 рр.) в експозиційних проектах Асоціації Незалежних Українських Мистців – АНУМ (1931-1939 рр.). Розглянуто виставкову діяльність АНУМ – найвідомішої мистецької організації міжвоєнного Львова, подано огляд виставкових проектів Асоціації та творчу співпрацю Лева Ґеца: зокрема – організовану АНУМ Персональну виставку художника 1934 р. Саме завдяки членству в Асоціації твори Ґеца експонувалися не лише в музеях Львова, але в європейських виставкових залах. Встановлено, що міжвоєнні десятиліття були творчо продуктивними: Лев Ґец активно займався малярством та графікою, перебував в пошуку авторської манери. Чисельна кількість живописних робіт цього періоду наповнена суб‘єктивними та глибоко-особистісними переживаннями автора, що стало втіленням художньо-емоційних виразів малярства міжвоєнних десятиліть.Використано історичні документи Інституту національної пам‘яті, архіву Історичного музею в Сяноку (Польща), бібліотеки отців Василіян у Римі (Італія), друковані матеріали періодичних видань того періоду
