A cultura do milho é uma das atividades agrícolas de maior importância no Brasil. O país é o terceiro maior produtor mundial e a produtividade média passou de 1800 kg ha-1 para 3000 kg ha-1 nos últimos 15 anos. A produção de grãos e a tolerância à seca são caracteres complexos e de difícil seleção e uma possibilidade para se aumentar a eficiência dos programas de melhoramento que visam o incremento da produção de grãos e a tolerância à seca seria através da seleção indireta para caracteres relacionados a elas como o stay-green e os componentes da produção. O presente trabalho teve por objetivo estudar os caracteres stay-green, produção de grãos e seus componentes em milho com a finalidade de reunir informações sobre a herança desses caracteres. Para tanto foi utilizada uma população obtida pelo cruzamento das linhagens L-14-04 B e L-08- 05 F, contrastantes para diversos caracteres. Progênies F2:3 derivadas desses cruzamento foram retrocruzadas com as linhagens parentais formando dois conjuntos com 250 progênies de retrocruzamento cada. Essas progênies foram avaliadas em até seis ambientes segundo o delineamento de látice simples 10x10 para os caracteres produção de grãos (PG), e seus componentes: comprimento de espiga (CE), diâmetro de espiga (DE), número de fileiras por espiga (NFi), número de grãos por fileira (NGF) e peso de 500 grãos (P500) e para o caráter relacionado a tolerância à seca stay-green (SG). Um mapa de ligação obtido com 177 marcadores SSR foi utilizado para mapear QTL para esses caracteres em cada uma das populações de retrocruzamento através da metodologia de mapeamento por intervalo composto expandido para múltiplos ambientes (mCIM). Os efeitos genéticos aditivos e de dominância para cada QTL mapeado foram obtidos por meio de contrastes entre os efeitos dos QTL mapeados nas duas populações de retrocruzamento. Foram mapeados 217 QTL para os sete caracteres avaliados sendo alguns desses de maior efeito, estáveis através dos diversos ambientes e co-localizados com QTL para outras características, o que os tornam bons candidatos para seleção assistida por marcadores moleculares. O grande número de QTL mapeados nesse estudo confirma não só a complexidade desses caracteres como também o poder de detecção do método de mapeamento (mCIM) e do delineamento utilizado nesse estudo (delinemento III). / Maize is one of the most important agricultural activities in Brazil. The country is the third largest world producer and the yield rose from 1800 kg ha-1 to 3000 kg ha-1 in the last 15 years. The grain yield and drought tolerance are complex traits, difficult to select. A possibility to increase the efficiency of breeding programs that aims to improve the grain yield and drought tolerance would be through indirect selection for traits related to them as the stay-green and yield components. The aim of this work was to study the characters stay-green, yield and its components in maize in order to gather information on the inheritance of these characters. For this purpose it was used a population obtained by crossing the lines L-14-04 B and L-08-05 F, contrasting to several traits. Progenies F2:3 from this cross were derived from backcrosses to the parental lines forming two sets of backcross progeny with 250 each. These progenies were evaluated in up to six environments according to the simple lattice design 10x10 for grain yield (PG), and their components: ear length (CE), ear diameter (DE), number of rows per ear (NFI), number of grains per row (NGF), weight of 500 grains (P500) and the drought tolerance related trait stay-green (SG). A linkage map obtained with 177 SSR markers were used to map QTL for these traits in each backcross population through the methodology of composite interval mapping expanded to multiple environments (mCIM). The additive and dominance genetic effects for each mapped QTL were obtained by means of contrasts between effects of QTL mapped in the two backcross populations. Two hundred seventeen QTL were mapped for seven traits evaluated, some of these are of mayor effect, stable through the various environments and co-located with QTL for other characteristics, what make them good candidates for molecular marker assisted selection. The large number of QTL mapped in this study confirms not only the complexity of these characters but also the detection power of the mapping method (mCIM) and of the design used in this study (design III).

Abstract Hospital treatment of chronic obstructive pulmonary disease in primary and secondary health care and changes in treatment from 1972 to 2004 were examined by means of the treatment register and the register of deaths. During the study period, the patients with a principal diagnosis of chronic obstructive pulmonary disease (COPD) underwent 356,066 treatment periods. In 1980–1984, 44.3% of the patients hospitalized the first time for COPD died within five years after their treatment period, and in 1990–1994, 50.9% died after their treatment period. According to Cox’s age-adjusted regression model, mortality increased among both men (Hazard Ratio 1.093, 95% CI 1.055–1.133) and women (HR 1.138, 95% CI 1.061–1.221). The number of long-term, over-90-day periods of inpatient treatment of COPD patients in university and central hospitals decreased 97.6% and the number of days of treatment decreased 98.4% between 1972–1976 and 1997–2001. Correspondingly, these treatment periods increased 7.6% in primary care hospitals and the number of days of treatment decreased 47.6%. In 1995–2001 the number of inpatient periods due to acute exacerbations of COPD increased 10.9%, but the number of days of treatment decreased 8.5%. The growth in age-adjusted treatment periods was 0.8% among men and 18.5% among women. The number of treatment periods increased 36.8% in general practice wards and 17.8% in wards for respiratory diseases, while they decreased 22.3% in internal medicine wards. General practitioners sent 5.1% of patients admitted to a primary care hospital with acute exacerbation of COPD to a secondary care hospital. The age- and gender-adjusted risk of death of patients managed by a general practitioner was 0.83 (95% CI 0.75–0.91) compared with those managed by a pulmonary specialist. Patients treated in primary care had a 1.74 times greater risk of being readmitted within a week after being released from inpatient treatment for acute exacerbations of COPD compared with patients treated in secondary care. The strategic policies of the 1980s, changes in the service structure, the national guidelines for the prevention and treatment of COPD issued in 1998, the valid treatment recommendation, and new treatments and medication have made treatment of COPD patients more effective. The emphasis has shifted to outpatient care and primary health care, where sufficient resources and education must be insured in order to guarantee good quality. / Tiivistelmä Tutkimuksessa selvitettiin hoitoilmoitus- ja kuolinsyyrekisterin avulla keuhkoahtaumataudin sairaalahoitoa ja sen muutoksia perusterveydenhuollossa ja erikoissairaanhoidossa vuosina 1972–2004. Tutkimusaikana oli 356 066 hoitojaksoa niillä potilailla, joiden päädiagnoosi oli keuhkoahtaumatauti (KAT). Vuosina 1980–1984 olleen ensimmäisen KAT:sta aiheutuneen sairaalahoitojakson jälkeen potilaista kuoli viiden vuoden kuluessa 44,3 % ja vastaavasti vuosien 1990–1994 hoitojakson jälkeen 50,9 %. Coxin regressiomallilla iän ollessa vakioituna kuolleisuus lisääntyi sekä miehillä (Hazard Ratio 1,093, 95 % CI 1,055–1,133) että naisilla (HR 1,138, 95 % CI 1,061–1,221). Pitkäaikaiset, yli 90 hoitopäivää jatkuneet, sairaalahoitojaksot vähenivät KAT-potilailla yliopisto- ja keskussairaaloissa 97,6 % ja hoitopäivät 98,4 % ajanjaksojen 1972–1976 ja 1997–2001 välillä. Vastaavasti terveyskeskussairaaloissa nämä hoitojaksot lisääntyivät 7,6 % ja hoitopäivät vähenivät 47,6 %. Vuosina 1995–2001 olleiden KAT:n akuuttien pahenemisvaiheiden sairaalajaksojen määrä kasvoi 10,9 %, mutta hoitopäivien määrä väheni 8,5 %. Ikävakioitujen hoitojaksojen kasvu miehillä oli 0,8 % ja naisilla 18,5 %. Hoitojaksot lisääntyivät yleislääketieteen erikoisalan osastoilla 36,8 % ja keuhkosairauksien osastoilla 17,8 %, kun taas sisätautien osastoilla ne vähenivät 22,3 %. Yleislääkäri lähetti erikoissairaanhoitoon 5,1 % terveyskeskuksen vuodeosastolle otetuista akuuteista KAT:n pahenemisvaiheen potilaista. Yleislääkärin hoitovastuulla olleiden potilaiden ikä- ja sukupuolivakioitu kuoleman riskisuhde oli 0,83 (95 % CI 0,75–0,91) verrattuna keuhkolääkärin vastuulla olleisiin potilaisiin. Perusterveydenhuollossa hoidetuilla potilailla oli 1,74 kertainen riski joutua uudelleen sairaalahoitoon viikon kuluessa KAT:n akuutin pahenemisvaiheen sairaalahoidon jälkeen verrattuna erikoissairaanhoidossa hoidettuihin potilaisiin. 1980-luvun strategiset linjaukset, palvelurakennemuutokset ja kansalliset ohjeet keuhkoahtaumataudin ennaltaehkäisystä ja hoidosta vuodelta 1998 ja Käypä hoito -suositus sekä uudet hoitomuodot ja lääkkeet ovat tehostaneet keuhkoahtaumapotilaan hoitoa. Painopiste on siirtynyt avohoitoon ja perusterveydenhuoltoon, jossa on huolehdittava riittävästä resursoinnista ja koulutuksesta hyvän laadun varmistamiseksi.

Magister Public Health - MPH / Background: Malnutrition accounted high level of childhood morbidity and mortality in Ethiopia including Durame area. Durame area is one of the food insecure districts in Southern region. As a result of high prevlanece of acute malnutrtion, which is 8.3%, Ministry of Health partnering with World Vision Ethiopia started outpatient therapeutic program (OTP) in seven OTP sites to rehablitate severely malnourished children. Reports indicate that number of factors affect the rehabilitation outcome of children with severe acute malnutrtion in OTP programs. However, there are no studies conducted to assess their contribution in the rehablitaiton outcome. Hence, this study will attempt to investigate these factors and assess their public health significance in Durame area. Aim: To assess the factors affecting the rehabilitation outcome of an OTP for children with severe acute malnutrition in Durame area, Southern Ethiopia Method: the study used a descriptive study with an analytical component. Three-hundred and sixty (360) medical records were calculated during sampling and proportional numbers of medical records were sampled from the seven OTP sites. The medical records were reviewed using semi-structured questionnaires from September 1 to September 10, 2008. The data was entered and analyzed using EPI info version 3.3.2 software. Results: three hundred fifty five (98.6%) of the total sample records were reviewed. Three hundred twenty nine (92.7%) children were cured, 11(3.8%) died, 7 (2%) defaulted and 8 (2.3%) were non-cure. Average weight gain on discharge was 3.4gm/kg/day and the mean length of stay was 55.6 days (SD+14 days). More than 60% of children were admitted in three of the seven OTP sites where Demboya OTP sites taking the larger share. Nearly half of the total children (49.8%) were between 6 to 12 months of age and the median age of admission was 13 months. The male to female ratio in the study population was almost equal. Average family size was 6.3 and 58.3% of children came from households with 6 or more family members. Forty two (11.8%) children in the study had twin. The average walking distance to the OTP sites was 62.9 minutes and two hundred fifty six mothers travelled less than an hour. Most of the children (92.1%) were referred from the community and most of the children were admitted with MUAC followed by pitting edema. One hundred seventy four (49%) of the total children were beneficiaries of GFR. On admission two hundred twenty six (63.7%) children were breastfeeding, 257 (72.4%) had no symptoms of sickness and 327 (92.1%) did not have abnormal physical examination findings. More than half (51.5%) of them did not receive any home visit and the larger share of the home visits (37.3%) were made when children got illnesses. One hundred sixteen (32.7%) children in the study had chronic medical conditions during follow up. Fever or hypothermia (0.6%), dehydration (0.8%), anemia (0.6%), skin infection (1.6%) and Plumpy nut refusal (2.0%) were the main abnormal medical findings during follow up. Assessment of the influence of the socio-demographic and biological characteristics on the rehabilitation outcome indicated that the sites, family size, chronic medical conditions, absenteeism, weight loss, presence of fever or hypothermia, dehydration and anemia had significant association with the treatment outcome (p<0.05). Further analysis for significant variables using regression analysis indicated that absenteeism, chronic medical illness, fever or hypothermia and anemia are predictor variables contributing significant information for the prediction of the treatment outcome (p<0.05). Conclusion: The program has high success rate in terms of increasing cure and decreasing death, default and non-cure rates but it did not meet the minimum international recommendations for average length of stay and average weight gain. The study identified the main socio-demographic and biological characteristics of children with SAM and factors that affect the rehabilitation outcome. Children under the age of 24 months were most affected with SAM and no gender variation. Larger proportions of malnourished children were living in families above the average family size, which had significant association with the outcome. OTP sites were accessible for majority children in the program but higher level of absenteeism which significantly associated with the outcome. The study identified socio-demographic and biological factors that influenced the rehabilitation outcome as well as the predictor variables contributing significant information for the prediction of the treatment outcome. It could assist the program implementers to design appropriate public health measures. The achievement in Durame OTP program indicates effectiveness of community based management of SAM and existing potential to integrate in routine health system in resource scarce setting like Durame. Recommendations: to sustain the achievements and improve the growth areas necessary public health measures are prime importance.

The Ottawa Hospital cancels hundreds of elective surgeries every year due to a lack of beds, and has an average weekday occupancy rate above 100%. Our approach to addressing these issues, by way of informing administrators of resource needs, was to model the flow of patients coming and going from the hospital. We used administrative data from the Ottawa Hospital to build a time-series model of emergency department admissions, and studied models that would predict next-day discharge of patients currently taking up hospital beds. In the latter, we considered population-averaged models for groups of patients based on their primary medical condition, as well as subject-specific models. We included the random effects from subject-specific variation to improve on predictive accuracy over the population- averaged approach. The result was a model that provided more realistic probabilities of discharge, and stable predictive accuracy over patient length of stay.

High rates of turnover and the limited tenure of directors of nursing (DONs) in long-term care creates instability in the nursing workforce and the quality of care provided. Organizations, industry, and stakeholders have made little progress to change this turnover crisis. The purpose of this quantitative study, guided by organizational role and social exchange theories, was to determine if there was a difference in levels of affective organizational commitment and intent to stay mediated by leader-member exchange in long-term care DONs with different levels of role conflict and role ambiguity. The key variables were measured with the Role Questionnaire, Leader-Member Exchange Scale 7, Affective Commitment Questionnaire, and the Intent to Stay Scale. DONs were recruited via e-mail and social media, and 126 participants completed the surveys with 42 experiencing high role conflict and 13 experiencing high role ambiguity. Results revealed no differences in the levels of affective organizational commitment or intent to stay between DONs with high versus low levels of role conflict or role ambiguity. However, role ambiguity and leader-member exchange, but not role conflict, significantly predicted a DON's affective organizational commitment and intent to stay. Future research could consider the levels of role conflict and role ambiguity experienced by the DON and the tenure of the DON and the effect on the quality of resident care provided. The results of this study could impact positive social change by being used to advocate for role clarity and improve relationships with leaders to increase DON tenure, which would improve nurse workforce turnover and the quality provided in long-term care.

The supervised and semi-supervised machine learning paradigms hinge on the idea that the training data is labeled. The label quality is often brought into question, and problems related to noisy, inaccurate, or missing labels are studied. One of these is an interesting and prevalent problem in the semi-supervised classification area where only some positive labels are known. At the same time, the remaining and often the majority of the available data is unlabeled, i.e., there are no negative examples. Known as Positive-Unlabeled (PU) learning, this problem has been identified with increasing frequency across many disciplines, including but not limited to health science, biology, bioinformatics, geoscience, physics, business, and politics. Also, there are several closely related machine learning problems, such as cost-sensitive learning and mixture proportion estimation. This dissertation explores the PU learning problem from the perspective of density estimation and proposes a new modular method compatible with the relabeling framework that is common in PU learning literature. This approach is compared with two existing algorithms throughout the manuscript, one from a seminal work by Elkan and Noto and a current state-of-the-art algorithm by Ivanov. Furthermore, this thesis identifies two machine learning application domains that can benefit from PU learning approaches, which were not previously seen that way: predicting length of stay in hospitals and automatic music tagging. Experimental results with multiple synthetic and real-world datasets from different application domains validate the proposed approach. Accurately predicting the in-hospital length of stay (LOS) at the time of admission can positively impact healthcare metrics, particularly in novel response scenarios such as the Covid-19 pandemic. During the regular steady-state operation, traditional classification algorithms can be used for this purpose to inform planning and resource management. However, when there are sudden changes to the admission and patient statistics, such as during the onset of a pandemic, these approaches break down because reliable training data becomes available only gradually over time. This thesis demonstrates the effectiveness of PU learning approaches in such situations through experiments by simulating the positive-unlabeled scenario using two fully-labeled publicly available LOS datasets. Music auto-tagging systems are typically trained using tag labels provided by human listeners. In many cases, this labeling is weak, which means that the provided tags are valid for the associated tracks, but there can be tracks for which a tag would be valid but not present. This situation is analogous to PU learning with the additional complication of being a multi-label scenario. Experimental results on publicly available music datasets with tags representing three different labeling paradigms demonstrate the effectiveness of PU learning techniques in recovering the missing labels and improving auto-tagger performance. / Graduate

Influenza is a highly contagious respiratory virus that can cause very severe health complications in people, and can be especially dangerous for young children. The peak influenza season occurs in the winter months with February usually being the month with the highest number of reported infections. As the virus can cause serious illness, pediatric institutions during the winter months see a very large number of patients who have influenza or influenza related complications. Pediatric Emergency Departments (ED) similarly see a dramatic increase in the number of patients who visit the ED during the winter influenza season. Therefore, it is important that pediatric EDs develop ways to handle the increased patient population while still maintaining quality care to the rest of the ED. Thus, a novel influenza clinic run entirely by non-ED Nurse Practitioners (NP) was implemented into the operations of the ED as an annexed clinic in February 2013 during the winter influenza season. The clinic was beneficial in improving the average quality measures of the ED against similar days without the influenza clinic, lowering the average length of stay (LOS) by 24 minutes (13% decrease) and lowering the left without being seen rates (LWBS) by 1.35% (3 fewer patients on average). In addition, using NPs instead of higher cost physicians dramatically lowered the cost of the clinic by nearly half. While the influenza clinic was beneficial in lowering the average LOS and LWBS rates against similar days without the clinic the data did not reach statistical significance, perhaps due to the small amount of data available. The results, despite the statistical insignificance, show a promising future in addition of an NP run influenza clinic to handle the increased patient population during the winter influenza season.

Thesis (M.Med. (Paediatrics and Child Health)) -- University of Limpopo, 2021 / Nosocomial infection constitutes a major health problem associated with high morbidity and mortality. This study is aimed at investigating the prevalence of nosocomial infections in paediatric intensive care unit of Pietersburg hospital, Limpopo, South Africa and identify the pathogens responsible for such infections and determine their anti-microbial activity. The study applied a retrospective quantitative descriptive study design to execute the objectives of the study. Convenience sampling was applied to select 98 participants that met the selection criteria to collect the data set from the hospital files between 1st January 2017 to 31st December 2017 in a self-designed template. Results shows that the prevalence of nosocomial infections in children admitted from 1st January 2017–31st December 2017 at Pietersburg hospital was 13.27% where majority were females at 61,5% with the remaining 38,5% being male. Majority of participants that developed HAI were below 24 months of age (69%). Hospital stay was a mean of 23 days. The underlying conditions in participants who developed HAI were mostly HIV in 4 of 13 (31%) and had association with hospital stay (Chi-square = 140,14; pvalue=0,0034). Majority of patients that acquired HAI were admitted for a respiratory condition n=12; (92%) mainly Pneumonia and Bronchiolitis. Potential risks factors for developing HAI were endotracheal intubation, mechanical ventilation; central venous catheter (Chi- square =21,195; p value= 0,0035); Peripheral vascular catheter (Chisquare = 17,106; p-value= 0,0167); urethral catheter (Chi-square = 20,013; p-value= 0,0055) and surgery since admission (Chi-square = 27,649; p-value= 0,0003). There was a strong correlation between hospital stay and mortality rate (r=36%; p- value<0.0001). Klebsiella pneumonia was the most identified pathogen from the respiratory site (50%). Coagulase-negative staph aureus was the most identified organism in the bloodstream. The study found that the development of HAI was associated with increased length of hospital stay and an increased rate of mortality.

Hospital systems in the United States are facing a dilemma regarding capacity management in the emergency department (ED) and the inpatient care setting. The average wait time in EDs across the United States exceeds 98 minutes, which is also the point at which patients begin to abandon healthcare treatment. The purpose of this quantitative study was to examine the use of queueing theory in capacity management on length-of-stay (LOS) rates, left-without-being-seen (LWBS) rates, and boarding rates in the ED and inpatient setting. The boarding rates represent the rate in which patients were roomed in the ED but required inpatient care. This study assessed the relationships between capacity management using queueing theory and a reduction in the aforementioned rates compared to traditional processes across systems within the continental United States. A linear regression analysis with a confidence interval 95% paired with an independent sample t test was used to analyze the secondary datasets. A sample size of approximately 33,000 patients was tested in the areas of LOS, LWBS, and boarding. The results of the analysis determined that access was improved in the ED and inpatient setting when queueing theory was deployed within the hospital system compared to traditional processes for managing capacity within the system. Queuing theory used for capacity management resulted in lower LOS, LWBS, and boarding rates. The implications of this study for positive social change include the opportunity to provide greater access to care for the population as a whole, and better health outcomes for the promotion of population health.

This study presents a conceptual design process for one-way reinforced concrete slabs cast over Textile Reinforced Concrete (TRC) Stay-in-Place (SiP) formwork elements, aiming at the minimization of the composite slab cost satisfying Ultimate Limit State (ULS) and Serviceability Limit State (SLS) design criteria. The thin-walled TRC element is considered to participate in the structural behaviour of the composite slab. This distinct function of the TRC element (as formwork and as a part of a composite element) distinguishes the design procedure into two States: a Temporary and a Permanent one. Design parameters such as the type of the textile reinforcement (material), the geometry of the TRC cross-section, the flexural strength of the fine-grained concrete in the TRC element and the compressive strength of the cast in-situ concrete are considered as the main optimization variables.