Miracle-dz/UniFAR-FTUs huggingface dataset:
[Mycotic aneurysm after kidney transplantation].

PURPOSE The study aim was to report six cases of mycotic aneurysms in renal transplant patients and to review the literature on this subject. PATIENTS AND METHODS Six patients, aged from 13 to 59 years, who had undergone renal transplantation 4 months to 16 years earlier, developed a mycotic aneurysm after bacteremia. The diagnosis was based on morphological investigations (echotomography, arteriography, spiral computed tomography) and bacteriological studies (blood culture, culture of the aneurysmal wall and content). The aneurysm was located in five cases at the anastomosis of the renal artery with the iliac axis, and in one case on the popliteal artery and tibioperoneal trunk. All patients were treated surgically: five reconstructions were performed using two arterial iliac prostheses, three hypogastric artery autografts and one saphenous vein graft (combined with an iliac prosthesis); one repair was impossible because of profuse local suppuration, and endoaneurysmorraphy with multiple ligatures of the popliteal vessels was performed. Postoperative radiological control was performed in all cases of arterial repair. All patients received antibiotic therapy during three to six months after the operation. RESULTS No postoperative mortality occurred. All kidney transplants were salvaged. Anatomical results of arterial reconstructions were satisfactory in all cases and remained so during the follow-up. CONCLUSIONS Mycotic aneurysms after renal transplantation are rare since only six observations with a kidney transplant in place have been published in the literature with a single long-lasting kidney salvage. Surgical treatment is mandatory to prevent rupture. Survival of patients occurred exclusively in operated cases.
A simple metabolic model of glacial-interglacial energy supply to the upper ocean

Abstract. We use a simple two-state two-box ocean to simulate the CO2 signal during the last four glacial-interglacial transitions in the earth system. The model is inspired by the similarity in spatial organization and temporal transition patterns between the earth and other complex systems, such as mammals. The comparison identifies the earth's metabolic rate with net autotrophic primary production in the upper ocean, sustained through new inorganic carbon and nutrients advected from the deep ocean and organic matter remineralized within the upper ocean. We view the glacial-interglacial transition as a switch of the upper ocean from a basal to an enhanced metabolic state, with energy supply initially relying on the remineralization of the local organic sources and the eventual steady state resulting from the increased advective supply of inorganic deep sources. During the interglacial-glacial transition the opposite occurs, with an initial excess of advective supply and primary production that allows the replenishment of the upper-ocean organic storages. We set the relative change in energy supply from the CO2 signal and use genetic algorithms to explore the sensitivity of the model output to both the basal recirculation rate and the intensity-timing of the maximum recirculation rate. The model is capable of reproducing quite well the long-term oscillations, as shown by correlations with observations typically about 0.8. The dominant time scale for each cycle ranges between about 40 and 45 kyr, close to the 41 kyr average obliquity astronomical period, and the deep-ocean recirculation rate increases between one and two orders of magnitude from glacial to interglacial periods.
Tuberous sclerosis complex presenting as pulmonary lymphangioleiomyomatosis - a clinicoradiological diagnosis

Tuberous sclerosis complex (TSC) manifests predominantly as a neurocutaneous disorder. Lymphangioleiomyomatosis (LAM) is a rare pulmonary manifestation of TSC. Imaging evaluation plays an important role in the assessment of patients with tuberous sclerosis complex. In newly diagnosed patients, it helps not only to confirm the diagnosis of TSC, but also helps in identifying clinically significant complications. We describe the radiological findings in lungs and other organs in a middle aged female with TSC.
LANGUAGE OF LEARNING AND TEACHING IN A MULTILINGUAL SCHOOL ENVIRONMENT: WHAT DO TEACHERS THINK?

ABSTRACT One of the enduring problems of South African educational policy changes in the past 20 years is the fact that curricula, legislation and policies have changed radically while the staff complement has remained relatively stable. Despite a progressive national language policy, schools have increasingly introduced English as the sole language of learning and teaching (LoLT), preferably from the earliest grades. In all the debate about the ‘best’ language of learning and teaching, however, there seems to be a missing voice: that of the teacher. Using an analytical framework developed by Richard Baldauf, this study shows how a focus on micro level language planning activities is important for teacher development and language policy implementation. When debating language issues, particularly the language of learning and teaching, teachers do not have a big enough say or may not be fully aware of alternative models for multilingual classes. This study brings the teacher's voice to the language policy debate. The results show that teachers are keenly aware of the multilingual context and their views and decision-making processes reflect this awareness.
Energy detection threshold optimization for cooperative spectrum sensing

Cognitive radio has been recognized as one of the most promising technologies dealing with the scarcity of the radio spectrum. In cognitive radio system, with spectrum sensing, secondary users are allowed to utilize the frequency bands of primary users when the bands are idle. Hence, how to accurately detect the idle frequency bands has attracted many researchers' eyes. Energy detection is the common method for idle band detection. However, the improper energy detection threshold setting can dramatically affect the performance of the cognitive radio system. There are two types of errors in spectrum sensing: false alarm and miss-detection. The lower probability of false alarm means more underutilized spectrum can be reused by secondary users and the lower probability of miss-detection, the better primary users are protected. In this paper, we propose a fast and accurate search method for optimal local energy detection threshold, which can minimize the total errors in spectrum sensing. Simulation results show that our estimated optimal energy threshold is consistent with the actual one.
The French Musculoskeletal Disorders Surveillance Program: Pays de la Loire network

Objectives: An epidemiological surveillance system for work-related musculoskeletal disorders (MSDs) was implemented in 2002 in France’s Pays de la Loire region to assess the incidence and prevalence of MSDs in the general and working populations, identify levels of exposure to occupational risk factors and investigate the proportion of cases attributable to work exposure. Methods: The program combines (1) surveillance of sentinel health events in the general population (carpal tunnel syndrome (CTS) was the sentinel event for upper limb MSDs), (2) assessment of the prevalence of the main upper limb MSDs and their risk factors in the workplace based on a network of occupational physicians and (3) registration of the notification of work-related diseases (WRDs). Results: 1168 incident cases of CTS were included over a 3 year period. The estimated incidence of CTS was 1.00 per 1000 person-years in those aged 20–59 years (0.60 in men and 1.40 in women). The incidence rate was higher in employed than unemployed persons in the year of diagnosis (0.6 per 1000 vs 0.3 in men and 1.7 vs 0.8 in women). The occupational physician network noted high prevalence rates: 11% of men and 15% of women had at least one of the six main upper limb clinically-diagnosed MSDs. The WRD survey showed that MSDs represented 65% of notified WRDs. Conclusion: The Pays de la Loire program plays a significant role in informing the authorities and the public about the state of current MSDs. It is planned to extend it to a routine national surveillance program.
ANALISIS KOMITMEN STAKEHOLDERS DAN SHAREHOLERS PERUSAHAAN TERHADAP KINERJA SOSIAL DAN KEUANGAN

The objective of this research was to analyse of commitmens stakeholders and sharteholders' commitmens on social and financial performance. The object this research was non-financial companies listed in the Indonesian Stock Exchange (2009). The data were then analysed using Mann U Whitney Test. Form this research, it showed stakeholders' orientated companies presented better social performance than shareholers orientated companies. In addition stakeholders' orientated companies presented better financial performance than shareholers orientated companies. The third result showed that minimum strategic consistency index did not present better financial performance than disconnected strategic approach firms. Similar result can be seen in the fourth testing more that minimum strategic consistency index did not present better financial performance than shareholers approach firms. Result of higher strategic consistency index presented better financial performance than shareholers approach firm. Finally, the last hypothesis testing showed that minimum strategic consistency index did not present better financial performance than disconnected strategic approach and shareholers' approach sector. Abstrak: Tujuan dari penelitian ini adalah untuk menganalisis komitmen pemaku kepentingan (commetmens stakeholders) dan pemegang saham (commitmens shareholders) atas kinerja keuangan dan sosial. Objek penelitian ini adalah persuahaan non-keuangan yang terdaftar di Bursa Efek Indonesia (2009). Data dianalisis menggunakan Mann Whitney Test U. Bentuk penelitian ini menunjukkan perusahaan yang berorientasi kepada pemangku kepentingan menyajikan kinerja sosial yang lebih baik daripada perusahaan yang berorientasi kepada pemagang saham. Selain itu perusahaan yang berorientasi pada pemangku kepentingan menunjukkan kinerja keuangan yang lebih baik daripada perusahaan yang berorientasi kepada pemegang saham. Selanjutnya, hasil ketiga menunjukkan bahwa minimum strategic consistency index tidak menyajikan kinerja keuangan yang lebih baik daripada perusahaan yang menggunakan pendekatan disconnected strategic. Hasil yang serupa dapat dilihat dalam pengujian keempat, yang menunjukkan bahwa minimum strategic consistency index tidak menyajikan kinerja keuangan yang lebih baik daripada perusahaan-perusahaan dengan pendekatan pada pemegang saham. Hasil strategic consistency index yang lebih tinggi menunjukkan hasil kinerja keuangan yang lebih baik pada perusahaan- perusahaan dengan pendekatan pada pemegang saham. Kesimpulan, pengujian hipotesis terdahulu menunjukkan bahwa minimum strategic consistency index tidak menunjukkan kinerja keuangan yang lebih baik daripada pendekatan disconnected strategic dan pada sector pendekatan pemegang saham (shareholers' approach shareholers' approach).
Designing Effective Transfer Functions for Volume Rendering from Photographic Volumes

Photographic volumes present a unique, interesting challenge for volume rendering. In photographic volumes, the voxel color is pre-determined, making color selection through transfer functions unnecessary. However, photographic data does not contain a clear mapping from the multi-valued color values to a scalar density or opacity, making projection and compositing much more difficult than with traditional volumes. Moreover, because of the nonlinear nature of color spaces, there is no meaningful norm for the multi-valued voxels. Thus, the individual color channels of photographic data must be treated as incomparable data tuples rather than as vector values. Traditional differential geometric tools, such as intensity gradients, density and Laplacians, are distorted by the nonlinear non-orthonormal color spaces that are the domain of the voxel values. We have developed different techniques for managing these issues while directly rendering volumes from photographic data. We present and justify the normalization of color values by mapping RGB values to the CIE L*u*v* color space. We explore and compare different opacity transfer functions that map three-channel color values to opacity. We apply these many-to-one mappings to the original RGB values as well as to the voxels after conversion to L*u*v* space. Direct rendering using transfer functions allows us to explore photographic volumes without having to commit to an a-priori segmentation that might mask fine variations of interest. We empirically compare the combined effects of each of the two color spaces with our opacity transfer functions using source data from the Visible Human project.
EBA : An Enhancement of IEEE 802 . 11 DCF via Distributed Reservation

The IEEE 802.11 standard for Wireless Local Area Networks (WLANs) employs a Medium Access Control (MAC), called Distributed Coordination Function (DCF), which is based on Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA). The collision avoidance mechanism utilizes the random backoff prior to each frame transmission attempt. The random nature of the backoff reduces the collision probability, but cannot completely eliminate collisions. It is known that the throughput performance of the 802.11 WLAN is significantly compromised as the number of stations increases. In this paper, we propose a novel distributed reservation-based MAC protocol, called Early Backoff Announcement (EBA), which is backward compatible with the legacy DCF. Under EBA, a station announces its future backoff information in terms of the number of backoff slots via the MAC header of its frame being transmitted. All the stations receiving the information avoid collisions by excluding the same backoff duration when selecting their future backoff value. Through extensive simulations, EBA is found to achieve significant increase in the throughput performance as well as a higher degree of fairness compared to the 802.11 DCF.
Extracting Reened Rules from Knowledge-based Neural Networks Keywords: Theory Reenement Integrated Learning Representational Shift Rule Extraction from Neural Networks

Neural networks, despite their empirically-proven abilities, have been little used for the reenement of existing knowledge because this task requires a three-step process. First, knowledge must be inserted into a neural network. Second, the network must be reened. Third, the reened knowledge must be extracted from the network. We have previously described a method for the rst step of this process. Standard neural learning techniques can accomplish the second step. In this paper, we propose and empirically evaluate a method for the nal, and possibly most diicult, step. Our method eeciently extracts symbolic rules from trained neural networks. The four major results of empirical tests of this method are that the extracted rules: (1) closely reproduce the accuracy of the network from which they are extracted; (2) are superior to the rules produced by methods that directly reene symbolic rules; (3) are superior to those produced by previous techniques for extracting rules from trained neural networks; (4) are \human comprehensible. " Thus, this method demonstrates that neural networks can be used to eeectively reene symbolic knowledge. Moreover, the rule-extraction technique developed herein contributes to the understanding of how symbolic and connectionist approaches to artiicial intelligence can be prootably integrated.
Improving K-nearest-neighborhood based Collaborative Filtering via Similarity Support

Collaborative Filtering (CF) is the most popular choice when implementing personalized recommender systems. A classical approach to CF is based on K-nearest-neighborhood (KNN) model, where the precondition for making recommendations is the KNN construction for involved entities. However, when building KNN sets, there exits the dilemma to decide the value of K --a small value will lead to poor recommendation quality, whereas a large one will result in high computational complexity. In this work we firstly empirically validate that the suitable value of K in KNN based CF is affected by the number of the totally involved entities, and then focus on optimizing the KNN building process for providing high recommendation performance as well as maintaining acceptable KNN size. To achieve this objective, we propose a novel KNN metric named Similarity Support (SS). By taking SS into consideration, we designed a series of strategies for optimizing the KNN based CF. The empirical studies on public large, real datasets showed that due to the improvement on KNN construction brought by SS, recommender optimized by our strategies turned out to be superior to original KNN based CF in terms of both recommendation performance and computational complexity.
Image forgery detection based on the fusion of machine learning and block-matching methods

Dense local descriptors and machine learning have been used with success in several applications, like classification of textures, steganalysis, and forgery detection. We develop a new image forgery detector building upon some descriptors recently proposed in the steganalysis field suitably merging some of such descriptors, and optimizing a SVM classifier on the available training set. Despite the very good performance, very small forgeries are hardly ever detected because they contribute very little to the descriptors. Therefore we also develop a simple, but extremely specific, copy-move detector based on region matching and fuse decisions so as to reduce the missing detection rate. Overall results appear to be extremely encouraging.
Accuracy of Estrogen and Progesterone Receptor Assessment in Core Needle Biopsy Specimens of Breast Cancer

Background Diagnosis of breast cancer is completed through core needle biopsy (CNB) of the tumors but there is controversy on the accuracy of hormone receptor results on CNB specimens. Objectives We undertook this study to compare the results of hormone receptor assessment in CNB and surgical samples on our patients. Patients and Methods Hormone receptor status was determined in CNB and surgical samples in breast cancer patients whose CNB and operation had been performed in this institute from 2009 to 2011 and had not undergone neoadjuvant chemotherapy. Results About 350 patients, 60 cases met all the criteria for entering the study. The mean age was 49.8 years. Considering a confidence interval (CI) of 95%, the sensitivity of ER and PR assessment in CNB was 92.9% and 81%, respectively and the specificity of both was 100%. The Accuracy of CNB was 98% for ER and 93% for PR. Conclusions Our results confirm the acceptable accuracy of ER assessment on CNB. The subject needs further investigation in developing countries where omission of the test in surgical samples can be cost and time-saving.
Teacher Preference and Children's Sociometric Status in the Classroom.

Two studies were conducted to examine the relationship of teacher preference to children's sociometric status in the classroom. In Study 1, play rating and friendship nomination sociometric measures were administered to 160 prekin dergarten through fifth-grade children, and teachers rated the social behavior and their personal preference for each student. For both younger and older chil dren, peer preference was significantly related to teacher preference. In the pri mary grades, teacher ratings of both positive and negative social behaviors, but not academic competence, predicted teacher preference. In the upper elemen tary grades, positive and negative social behaviors and academic competence were significant predictors. Study 2 assessed the teacher-rated and peer-rated behaviors of 85 secondthrough fifth-grade students for whom there was either concordance or discordance in teacher and peer preference. Teachers and peers assigned similar behavior ratings to children in the concordant groups, but dif fered in their behavior ratings of children in the discordant groups. In longitudi nal analyses, teacher preference was a significant predictor of peer preference 8 months later, after controlling for current peer preference.
Model formulation and design of an efficient control algorithm for fuel cell power system

In this research work a Fuel cell based power system is explicitly modeled and analyzed under the various possible operating conditions. In order to ensure a reliable, efficient, durable and cost effective operation, a control system based on the management of air and fuel flow regulations can be designed. Fuel cell systems produce clean energy and they have got higher energy conversion efficiencies as compared to Internal Combustion Engines based power plants. In order to make this technology economically viable, feed of the air and fuel, pressure regulations, flow rates and the heat produced must be optimally controlled. Oxygen depletion, during the transient reactions is the major cause of low performance and subsequent deteriorations. In order to overcome the stated limitations, internal subsystem reactions are modeled deliberately and examined carefully. Based on the mathematical deductions and feedback control techniques, optimal pressures and flow rates for hydrogen and oxygen are selected. Breath control unit can be efficiently controlled by using this model to avoid degradation. The output voltage model is also delineated in terms of internal electrochemical dynamics to confirm the maximum power gain by the selected parameters. Results are also verified using MATLAB/ Simulink tool. The Proposed methodology is equally valid for both Polymer Electrolyte Membrane and Solid Oxide Fuel Cells based power systems with some modifications.
Reproducing gender? : essays on educational theory and feminist politics

1. Gender Codes and Educational Theory: An Overview 2. Socio-Cultural Reproduction and Women's Education 3. Cultural Reproduction: The Pedagogy of Sexuality 4. Schooling and Reproduction of Class and Gender Relations 5. A Cloud Over Co-education: An Analysis of the Forms of Transmission of Class and Gender Relations 6. Gegemony, Social Class and Women's Education 7. Schools and Families: Gender Contradictions, Diversity and Conflict 8. A Crisis in Patriarchy? State Regulation of Gender and Feminist Educational Politics 9. Sociological Understandings of Contemporary Gender Transformations in Schooling in the UK 1 0. 'Schooling in Capitalist America Revisited': Social Class, Gender and Race Inequalities in the UK 11. Basil Berstein's Sociology of Pedagogy: Female Dialogues and Feminist Elaborations 12. Gender Relations and Schooling in the New Century: Conflicts and Challenges