Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of factors associated with urinary incontinence in elderly people in long-term care homes

The aim of this study was to assesses the factors associated with the occurrence of urinary incontinence (UI) in elderly people living in long-term care homes. Reports on Urinary Incontinence coupled to clinical-functional and socio-demographic data were retrieved from the medical records of elderly people. In addition, the application of the protocols: Mini-Mental State Examination, Katz Index, Short Physical Performance Battery. It was considered a significance level of 5%. It was noted that the UI occurred in 80.6% of elderly people, with average age 76.5 years (± 8.3) and average time at the care home reaching 5.2 years (± 6.4). Significant UI association was reported with gender, education and disease. A discrete increase in scores occurred in protocols for elderly people without UI occurrence. It is concluded that sample was characterized by elderly females with less than five years living in homes. The elderly with UI were similar to elderly people in general with regard to protocols.
Context is all : a qualitative case study of youth mentoring in the inner-city

This project is an extended case study design investigating the mentoring programme of Kids Company, an innovative and controversial organisation that closed during fieldwork. The study considers the programme both as a case of the larger category of ‘youth mentoring’ as well as a case in itself – of a unique and situated intervention. Methods employed included participant observation and interviews with professional staff, as well as the analysis of a sample of mentoring records documenting the one-year relationship of six mentoring pairs from the perspective of the mentor. Plans to interview mentoring pairs were curtailed by the unexpected demise of the organisation, but the data set includes interviews with five new mentors and mentees. The project has developed from a collaborative studentship aimed at understanding the mentoring programme, to include a post mortem of an organisation in crisis. Thus, documentation by and about Kids Company during this very public downfall also forms part of the data set. The thesis organises its findings into three chapters with insights on the model of mentoring employed by Kids Company and the reliance of popularised ideas from attachment theory and neuroscience; insights into the mentoring relationships themselves, including the value of a middle stage of everyday ‘being there’; and critical insights into how Kids Company’s approach to young people and communities simultaneously takes on representations of race and class, yet elides them. The thesis draws together critical social policy and childhood studies literature on the history of child saving interventions and representations of the child in need within society, and psychology literature on youth mentoring initiatives, in order to make the argument that mentoring must be understood as an intervention situated in time and place. The messiness, complexity, and variety of youth mentoring experiences needs to be recognised. Nevertheless, youth mentoring also has potential to be powerful and productive for all involved and the thesis reflects on both the strengths and weaknesses of the Kids Company approach to make suggestions for good practice.
“I Like My Body; Therefore, I Like Myself”: How Body Image Influences Self-Esteem—A Cross-Sectional Study on Italian Adolescents

Puberty is a very important process for adolescents. Physiological changes and body modifications lead to great vulnerability. This vulnerability is connected to the adolescent’s perceptions of the uncertainty of outcomes due to the transformation of their infant body into an adult one. This cross-sectional study aims to better understand whether body image perception and satisfaction influence self-esteem in a sample of Italian male and female adolescents. A total of 242 adolescents (120 male and 122 female individuals) aged 11 to 17 years (M = 13.33; SD = 1.7) completed the study measures. Quantitative and qualitative instruments were used. In particular, adolescents completed self-report questionnaires to assess their pubertal status (Pubertal Developmental Scale, Peterson, Crockett, Richards, & Boxer, 1988), their body esteem (Body Esteem Scale, Mendelson, Mendelson, & White, 2001), their body image (Body Image Satisfaction Questionnaire, Rauste-von Wright, 1989), and their self-esteem (Rosenberg Self-Esteem Scale, Rosenberg,1965). Adolescent were also invited to depict themselves to assess their body representations by completing the Drawing Me test (Confalonieri, 2011). Results from MANOVAs confirm that gender and age are two factors that influence body image perception and satisfaction. SEM analyses show that good self-esteem is reached through good body satisfaction following different trajectories in male and female individuals. Data from adolescents’ body representations obtained via drawings confirm that females are more concerned about their body changes and about the appearance of secondary sexual features than males. This research, stressing the influence of various individual factors and highlighting the psychological distress and dissatisfaction of adolescents, especially females, confirms the importance of studying this topic in order to generate preventive measures to help adolescents through this developmental task.
A Systematic Evaluation of Alternative Options for the Reduction of Vessel Emissions in Ports

Transport operations are significant contributors to pollutant emissions across the globe. Maritime transport is responsible for approximately 3% of the global carbon emissions, while emissions around ports from vessel traffic and stationary ships also affect the local environment. This paper presents a framework for examining these impacts considering the environmental footprint of 1) ships approaching/departing and 2) berthing at ports, where their emissions impact directly on local air quality and on the exposure of the local population. Speed reduction of ships in transit and cold ironing for berthing ships are examined as possible mitigation techniques to illustrate their potential to reduce emissions for a range of different port and vessel types. Their scope is assessed per call per ship for the reduction of emissions for carbon dioxide (CO2), sulfur dioxide (SO2) and nitric oxide and nitrogen dioxide (NOx). Both methods are found to be effective, although the results are strongly dependent on the vessel specification and port operating characteristics. For speed reduction, key factors include the fuel used, the size of the vessel, its operating speed and the speed reduction policy adopted. For cold ironing, the port turnaround time, the source of shore electrical power and policies regarding fuel sulphur content are significant. While the two techniques can be applied independently, one of the two may be preferable in a specific port or for specific vessels. Reductions of 55.1 tonnes of CO2, 267 kg of SO2 and 2046 kg of NOx are seen for the combination of speed reduction for a large ship and prolonged berth duration using a representative shore electrical supply. These results suggest that policies and practices available to shippers can deliver environmental benefits; however, a clear appraisal for costs and benefits of alternatives is essential to inform effective policy development.
A transputer based implementation of a quick look processor for an airborne SAR system

The purpose of this thesis is to describe the development of a transputer based real-time Synthetic Aperture Radar (SAR) processor called the Quick Look Processor (QLP). The QLP is required to produce medium resolution, real-time images at a wavelength of 2.5m for the airborne South African SAR (SASAR) system which is under development at the University of Cape Town (UCT). The required azimuth resolution for the QLP is 30m and system is required to process 2048 range bins at a rate of 39 range lines per second. The algorithm used was developed at UCT, and works on the principle of dividing up the synthetic aperture into subapertures with appropriate phase corrections. This method is used in order to reduce computational loading (for real-time processing), but at the same time achieve medium resolution processing. One of the fundamental issues concerning this algorithm is its efficiency as the required azimuth resolution is increased. The system is designed around a host PC and a network of nine transputers. The host PC communicates with the other SASAR subsystems via an Ethernet network. It is responsible for displaying and saving the SAR image, recieving and displaying geocoding information and configuring the transputer network. The transputer network is responsible for processing the SAR data. The network is connected in a pipeline configuration with a master transputer controlling the other eight slave transputers. Each slave transputer concurrently processes a section of the swath width. This method allows for easy scalability. Once implemented, it was found that the system operated at 253 of its expected performance. This expected performance was based on a set of assumptions which were initially made about the transputers' performance with the QLP algorithm. After further investigation, it was found that the time taken to address data in memory had been neglected, as had the delay associated with calculating the address of a particular byte of data in an array. For example instead of taking 0. 35μs 1 to do an addition, it takes 3. lμs to do 1 This figure is supplied in the transputer data book and was used in the initial assumptions. J an addition of two numbers stored in a 2-dimensional array while returning the result to another 2-dimensional array. Once this was considered, it was understood why the transputer performance was poor. The performance of the host PC hardware was however found to be sufficient. In order to process the data in real-time according to the given specifications, four times as many transputers would be required, or a different hardware platform to replace the transputer technology.
The interaction between unemployment insurance and human capital policies

In the presence of an optimally designed unemployment bene.t system we show that it is optimal for the government to encourage human capital acquisition. The driving force of this result is the complementarity between human capital and labor-market- oriented behavior. If policy includes inter-temporal transfers, the optimal level of investment in human capital is given at the point where, at the margin, expected return to human capital is identical to the risk free rate even though there is no full insurance at the optimum.
Molecular genetic identification and extracellular laccase activity of two wild fungal isolates from Mexico

Fungal strains BM-1 and BG-2 were isolated from rotting stemwood of the Ipomoea murucoides tree. Both strains were assigned to Botryosphaeria rhodina (teleomorph)/ Lasiodiplodia theobromae (anamorph) complex by the internal transcribed spacer (ITS) sequence of Nuclear Ribosomal Unit. BM-1 produced 4.39 ± 0.35 μg/mL, and BG-2 3.61 ± 0.28 μg/mL of extracellular protein in non-induced culture. BM-1 increases this amount by 93% when CuSO 4 (150 μM) is added to medium, and by 73% after addition of ethanol (10% v/v). Corresponding increases for BG-2 were of less than 40%. Basal activity of extracellular laccase had a maximum value of 0.379 ± 0.042 U/mL for BM-1 and of 0.312 ± 0.130 U/mL for BG-2. CuSO 4 (150 μM) addition to the culture increased the maximum activity of laccase up to 3.964 ± 0.385 U/mL in BM-1 and up to 5.270 ± 0.0. 793U/mL in BG-2. Ethanol addition (10% v/v) to the culture increased the maximum activity of laccase to 3.639 ± 0.506 U/mL in BM-1 and to 11.397 ± 0.440 U/mL in BG-2. The physiological differences observed between strains BM-1 and BG-2, stresses the importance of characterizing wild isolates from new substrates with the objective of finding strains of biotechnological potential. Key words : Botryosphaeria wild strains, ITS DNA sequence, extracellular laccase.
Identifying States of Cooking Objects Using VGG Network

—Object recognition has been a long time problem since computer vision started to develop. In robotic learning, recognizing the state of an object for the robot is very important. In this paper, we are going to discuss the architecture of the VGG deep learning network to help with the state recognition problem since state recognition in nature is an image classiﬁcation problem. The main work of this paper is to midify the structure of VGG to investigate if the accuracy of state classiﬁcation could be improved together with some other modiﬁcations on the convolutional layers as well as the fully connected layers.
Yellow Passion fruit performance in organic crop under mulch

The aim of this work was to evaluate the effect of mulch on clay loam and sandy loam soils on the start harvest, number of fruits per plant, yield and quality of yellow passion fruits in organic crop. A complete randomized block design with five treatments and four replicates of five plants each was used. Treatments corresponded to different percentages of mulch of the area occupied by the plant (3 x 3 m), extending from the center of the planting line to the planting row in 0% without mulch (T1); 25% (T2); 50% (T3); 75% (T4) and 100% (T5). Mulch anticipated the harvest in comparison to crop in uncovered soil in both types of soil. The number of fruits per plant and yield increased in a quadratic function with maximum point of 38.6 fruits plant-1 and 5,182.0 kg ha-1 with 75.7% and 78.0% of soil cover, respectively. Mulch on clay loam soil did not provide increase in the average fruit mass and did not change the quality of fruits in relation to control fruits.
Sequence length variation, indel costs, and congruence in sensitivity analysis

The behavior of two topological and four character‐based congruence measures was explored using different indel treatments in three empirical data sets, each with different alignment difficulties. The analyses were done using direct optimization within a sensitivity analysis framework in which the cost of indels was varied. Indels were treated either as a fifth character state, or strings of contiguous gaps were considered single events by using linear affine gap cost. Congruence consistently improved when indels were treated as single events, but no congruence measure appeared as the obviously preferable one. However, when combining enough data, all congruence measures clearly tended to select the same alignment cost set as the optimal one. Disagreement among congruence measures was mostly caused by a dominant fragment or a data partition that included all or most of the length variation in the data set. Dominance was easily detected, as the character‐based congruence measures approached their optimal value when indel costs were incremented. Dominance of a fragment or data partition was overwhelmed when new sequence length‐variable fragments or data partitions were added.
AODV Routing Protocol for MANET - A Review

The notoriety of remote gadgets with portability lead analysts to build up a wide assortment of MANET conventions to abuse the one of a kind correspondence openings given by these gadgets. Gadgets can convey straightforwardly utilizing the remote range go as a part of a distributed design, and give course to messages through middle of the road hubs, however the way of shared remote correspondence and cell phones result in numerous directing and difficulties identified with securitywhich must be tended to before the sending of MANET. In this paper our center is to examine the scope of MANET directing conventions accessible and talk about the practical part of a few running from early conventions, for example, DSDV convention to more progressed, for example, MAODV, our convention contemplate centers upon works by Perkins in create and enhancing MANET steering. A writing relatingrange to the field of MANET steering was distinguished and checked on, we additionally looked into writing of securing AODV based MANETs as this might be the most famous MANET convention. The writing survey locate various patterns inside research papers, for example, selective utilization of the arbitrary waypoint portability show, barring measurements from recreation comes about and not think about convention execution against accessible options.
The Gifi System for Nonlinear Multivariate Analysis

The Gifi system of analyzing categorical data through nonlinear varieties of classical multivariate analysis techniques is reviewed. The system is characterized by the optimal scaling of categorical variables which is implemented through alternating least squares algorithms. The main technique of homogeneity analysis is presented, along with its extensions and generalizations leading to nonmetric principal components analysis and canonical correlation analysis. A brief account of stability issues and areas of applications of the techniques is also given.
Computational Exploration of New Non-Steroidal Chemo-types as Human Aromatase Inhibitors

The development of the third-generation aromatase inhibitors viz. Letrozole, Anastrozole and Exemestane as first line drugs for estrogen dependent breast cancer treatment is a momentous achievement. The inevitable prolonged use of these first line drugs to treat breast cancer, develops different resistance mechanisms in the cancer cell. The quest for new class of aromatase inhibitors is essential to overcome the plausible resistance and unwanted side effects due to chronic therapy. Considering the magnitude for the necessity of newer generation aromatase inhibitors, the present research proposal aims at the design of new series of heterocyclic rings like benzothiazole, benzimidazole, 1,3,4-thiadiazole, 1,3,4-oxadiazole and imidazo[2,1-B][1,3,4]thiadiazole derivatives as aromatase inhibitors using Ligand Based 3D QSAR Pharmacophore Modeling and Molecular docking studies. A 3-point pharmacophore with one hydrogen bond acceptor (A) and two aromatic rings (R) was selected as pharmacophore hypothesis for building the 3D QSAR model. Training set correlation with Partial Least Square factors (R2=0.99, SD=0.1265, F=470.6, P=1.033e-018) and the test set correlation (Q2 = 0.7854, RMSE = 0.5284, Pearson R = 0.9111) N = 34 was chosen among the four different PLS factors generated. Letrozole and vorozole were also included in the training and test sets for the reference. The pharComputational Exploration of New Non-Steroidal Chemo-types as Human Aromatase Inhibitors SDRP Journal of Computational Chemistry & Molecular Modelling (ISSN: 2473-6260) DOI: 10.25177/JCCMM.2. 2.3 Research
A Novel Knowledge-induced Path Planning Strategy for The Mobile Robots

Summary Robot path planning is to obtain a most reasonable collision-free path in a certain environment. Existing method can ensure that the solution is the optimal or near-optimal path satisfying some criterion. However, the convergence speed and computation complexity of these methods are limited because they have not utilize knowledge embodied in the problem enough. Therefore, a novel knowledge-induced path planning strategy (KIPP) is proposed. Here, two kinds of knowledge, including explicit knowledge and implicit knowledge, are defined. Explicit knowledge memorizes the information about obstacles which is known in advance. The angle relationship between the path and the obstacles are extracted as implicit knowledge and used to judge and repair the infeasible path. Because the inserted point of repair operator is chosen from feasible region noted in implicit knowledge, the repaired path must be feasible after only repaired once. So computation complexity of this strategy is lower. Taken environment with regular or irregular obstacles as the example, simulation results show that the convergence speed and the precision of the solutions in the proposed strategy are better than other strategies.
Improving the Energy Efficiency of IEEE 802.3az EEE and Periodically Paused Switched Ethernet

It is estimated that networked devices consumed about 150 TWh of electricity in 2006 in the U.S. which has cost around $15 billion and contributed about 225 billion lbs of CO2 to greenhouse gas emissions. About 13.5% of this energy is consumed by network equipment such as switches and routers. This thesis addresses the energy consumption of Ethernet, and designs and evaluates improvements on existing methods to reduce the energy consumption of Ethernet links and switches. Energy Efficient Ethernet (EEE) is an emerging IEEE 802.3 standard which allows Ethernet links to sleep when idle. In this thesis, a performance evaluation of EEE is completed. This evaluation replicates previous work by Reviriego et al. in an independent manner. The performance evaluation shows that EEE overhead results in less energy savings than expected. A new method based on Packet Coalescing is developed and evaluated to improve the energy efficiency of EEE. Packet Coalescing bursts packets such that EEE overhead is minimized. The results show that EEE with Packet Coalescing for 10 Gb/s Ethernet can achieve very close to ideal (or energy proportional) performance at the expense of an insignificant added per packet delay.
EVALUATION OF MICRO MINERALS COMPOSITION OF DIFFERENT GRASSES IN RELATION TO LIVESTOCK REQUIREMENTS

Four types of forages Bermuda grass (Cynodon dactylon), Bahia grass (Paspalum notatum), Star grass (Hypoxis hirsute), and Guinea grass (Panicum maximum) were collected from the Livestock Experimental Station Rakh Khaire Wala, located in the semi-arid region of central Punjab, Pakistan during two different seasons of 2003. Samples were collected and analyzed for iron (Fe), copper (Cu), zinc Zn), manganese (Mn), and selenium (Se) at eight sample dates after every two weeks during two consecutive seasons. No difference was found between winter and summer for forage Fe, Cu, Zn, Mn, and Se. Forage Cu concentrations increased in summer for Bahia grass from 20.3 to 23.1 µg/g. This species had the highest zinc concentrations 90.8 µg/g in winter and had the highest forage Fe and Cu concentrations 130.0 and 23.1 µg/g, respectively in summer. Star grass had the highest Mn concentrations 250.8 µg/g in winter and its Se concentrations increased in summer from 0.033 to 0.042 µg/g. Forage Se had the greatest increase in Guinea grass from 0.028 to 0.049 µg/g in summer. The summer season did not show difference for concentrations of the five micro-nutrients. It is concluded that there is not a significant variation in micro-nutrient status of the forage due to seasonal changes. Only the forage Se concentrations increased in summer. However, the Se level was still insufficient to meet the requirements for grazing ruminants; while other four micro-nutrients in these forages were sufficient to meet the requirements.