Miracle-dz/UniFAR-FTUs huggingface dataset:
Design Exploration of an FPGA Based Face Detection Processing Core Utilizing High Level Synthesis

Achieving object detection with computer vision places high demands on hardware resources and energy. This becomes apparent when considering that applications like surveillance, autonomous vehicles, mobile and other similar applications, employ embedded systems with even greater restrictions on processing power and memory bandwidth. Face detection is a vivid example of object detection. Not only is it fascinating and has many applications at the same time, it also does not limit the scope of the thesis to faces. The algorithm in use detects faces and other objects in the same manner, merely the required initial data differs between objects. This thesis explores the design space of object detection on a Field Programmable Gate Array (FPGA) by implementing a common face detection algorithm utilizing High Level Synthesis (HLS) and therefore leveraging the flexibility of FPGAs. The prerequisite of this exploration is fulfilled by implementing the algorithm in a synthesizable subset of ANSI-C and to measure performance and the demand of hardware resources. Different designs were synthesized for a Xilinx Artix-7 FPGA and compared to each other every step of the way. The result is a set of 12 different designs for custom FPGA accelerators with various performance and resource requirements. The design with the highest throughput balances two opposite design paradigms. One extreme is an accelerator with maximum hardware reuse, which results in a lower number of cores and maximum latency per processing core and the other with massive parallelization, which results in a higher number of cores and minimum latency per processing core. The balanced design achieves the maximum throughput while utilizing half of the limiting hardware resource.
What’s in a Name? Classiﬁcation of Diabetes Mellitus in Veterinary Medicine and Why It Matters

Diabetes Mellitus (DM) is a syndrome caused by various etiologies. The clinical manifestations of DM are not indicative of the cause of the disease, but might be indicative of the stage and severity of the disease process. Accurately diagnosing and classifying diabetic dogs and cats by the underlying disease process is essential for current and future studies on early detection, prevention, and treatment of underlying disease. Here, we review the current etiology-based classiﬁcation of DM and deﬁnitions of DM types in human medicine and discuss key points on the pathogenesis of each DM type and predia- betes. We then review current evidence for application of this etiology-based classiﬁcation scheme in dogs and cats. In dogs, we emphasize the lack of consistent evidence for autoimmune DM (Type 1) and the possible importance of other DM types such as DM associated with exocrine pancreatic disease. While most dogs are ﬁrst examined because of DM in an insulin-dependent state, early and accurate diagnosis of the underlying disease process could change the long-term outcome and allow some degree of insulin independence. In cats, we review the appropriateness of using the umbrella term of Type 2 DM and diﬀerentiating it from DM secondary to other endocrine disease like hypersomatotropism. This diﬀerentiation could have crucial implications on treatment and prognosis. We also discuss the challenges in deﬁning and diagnosing prediabetes in cats.
PERCEPTION OF DIFFERENT FACIAL CHARACTERISTICS BY SAUDIS

: The aim of the present study was to identify the most attractive lip prominence and lower face height in different facial profiles based on the perception of Saudi Arabian laypersons living in the western region of Saudi Arabia. Lateral photographs of 10 Saudi adult subjects with well proportioned faces were presented to a panel of orthodontists and general dentists to choose the most attractive profiles. Photographs were taken using a standardized method for all subjects and were edited and converted into negatives. A male and a female subject were selected as the supernormal sample. Four sets of normal profiles were generated for each of the supernormal subjects by manipulating lip prominence, chin position and lower face height and then presented randomly to lay people to rank each set of pictures in an order of attractiveness and to fill out a simple questionnaire. The percentages of the most acceptable facial features were calculated, ranked and compared using the chi square test (p<0.05). The most attractive lip prominence was the average (39.2%) in the orthognathic facial type, the protrusive (39.3%) in the prognathic facial type and the retrusive (56.5%) in the retrognathic facial type. The most attractive lower face height was the shortest (39.3%) in female. In male, however, the three lower face heights were almost the same with no clear
Effects of climate change in the biomass of the Montado agro-sylvo-pastoral system

The present dissertation aims at understanding how the future climate change scenarios may affect the production of grassland biomass in the montado agro-sylvo-pastoral system, by studying the effects of precipitation, aridity and topography (slope) in both the field, in different sites along a climatic gradient in Alentejo, and in greenhouse trials, using the seedbank collected at those sites. The impact of these three factors was studied independently, in order to understand the importance of each of them for biomass productivity and, consequently, determine the main driving factors. The results showed a stronger effect of precipitation during the growing season on biomass productivity, in both field and greenhouse trials, thus highlighting this factor, among the three studied, as the major driver of biomass response and consequently of future changes in the landscape of montado agro-sylvo-pastoral system in Alentejo. The comparison of field and greenhouse trial was also intended to study the seedbank ability to retain information regarding the past climate history of its site of origin – ‘memory’. Results showed that in greenhouse, regardless of the locations from where the soil samples were taken, the seed bank responded similarly in terms of biomass production, vegetation cover, species richness and flowering onset when subjected to similar favorable conditions in the greenhouse – regular and abundant watering.
Testing of feasibility of QKD system deployment in commercial metropolitan ﬁber networks

—A description of test-assessment of TELECOM 1550 nm optical ﬁber used for a quantum channel in entangled Quantum Key Distribution (QKD) setup, EPR S405 Quelle (Aus- trian Institute of Technology) is presented. The system at work was observed and parameters related to dark quantum channel were collected by an appropriately designed test card. Series of measurements were carried out for various conﬁgurations of 1550 nm (optimal transmission wave-length) optical ﬁber patch-cord the same as used in standard metropolitan TELECOM networks including distances up to 6.5 km long. The particular attention has been paid to model the real lines with welding points and connectors in view of rigorous requirements regarded conservation of photon polarization in EPR S405 system. Tests allowed for assessment of Qantum Bit Error (QBER) level in standard telecommunication ﬁber infrastructure when trying to implement entangled QKD system vulnerable in particular to polarization perturbations. Another drawback, incommensurability of the central transmission wave-length in ﬁber with the wave-length of photons in EPR S405 system, was also assessed and the possibility of implementation of QKD EPR S405 system with 1550 nm optical ﬁbers has been veriﬁed.
Vehicle Re-Identification Based on the Authenticity of Orthographic Projection

— Vehicle re-identification is still a problem do not receive much attention in the multimedia and vision communities. Since most existing approaches mainly focus on the overall vehicle appearance for re-identification and do not consider the visual appearance changes of sides of vehicle, called local deformation. In this paper, we propose a vehicle re-identification method based on the authenticity of orthographic projection, in which three sides of vehicle are extracted, and the local deformation is explicitly minimized by scaling each pair of corresponding side to uniform size before computing similarity. To compute the similarity between two vehicle images, we 1) construct 3D bounding boxes around the vehicles, 2) extract sub-images of the three sides of each vehicle like a three-view drawing, 3) compute the similarity between each pair of corresponding side sub-images, and 4) use their weighted mean as the final measure of similarity. After computing the similarity between the query vehicle and all candidate vehicles, we rank these similarities and take the vehicle with the maximum similarity as the best match. To evaluate this approach, we use a dataset with 240 pairs of vehicle images extracted from surveillance videos shot at seven locations in different directions. The experimental results show that our proposed method can achieve 75.83% matching accuracy for the top-1 ranked vehicle and 91.25% accuracy for the top-5 vehicles.
Prevalence of thyroid disease in women

Thyroid disorders are common. In fact, about 12% of people will experience abnormal thyroid function at some point during their lives. The most common thyroid problems involve abnormal production of thyroid hormones. Too much thyroid hormone results in a condition known as hyperthyroidism. Insufficient hormone production leads to hypothyroidism. Present study was conducted in Muzaffarpur district of Bihar. 105 women age group of 20-65 years, who were suffering from thyroid deficiency were purposely selected. Interview schedule was constructed to record the data obtained, the interview questions were analyzed using descriptive narrations. For statistical analysis, frequency tables were used to compare basis demographic and other desired characteristics. It was found in present study that more than half (58.1%) of the women were suffering from hypothyroidism, while 41.9% of them were hyperthyroidism. Majority (84.09%) of the women were suffering from fatigue as results/signs of hyperthyroidism, while majority of the women suffering from fatigue, poor concentration, constipation, muscle & joint aches, depression and excessive menstrual bleeding as result/signs of the hypothyroidism, depression and feeling cold were observed in some of the women respondents. It is concluded that there is highly significant association was observed between age, pregnancy and menopause with types of thyroid, while consumption of iodine, nutritional awareness and genetic history were not associated with the types of thyroid.
CAUSATIVE AGENTS OF CHORIOAMNIONITIS

This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu. au
Using Layer-wise Relevance Propagation and Sensitivity Analysis Heatmaps to understand the Classification of an Image produced by a Neural Network

Neural networks are regarded as state of the art within many areas of machine learning, however due to their growing complexity and size, a question regarding their trustability and understandability has been raised. Thus, neural networks are often being considered a "black-box". This has lead to the emersion of evaluation methods trying to decipher these complex networks. Two of these methods, layer-wise relevance propagation (LRP) and sensitivity analysis (SA), are used to generate heatmaps, which presents pixels in the input image that have an impact on the classification. In this report, the aim is to do a usability-analysis by evaluating and comparing these methods to see how they can be used in order to understand a particular classification. The method used in this report is to iteratively distort image regions that were highlighted as important by the two heatmapping-methods. This lead to the findings that distorting essential features of an image according to the LRP heatmaps lead to a decrease in classification score, while distorting inessential features of an image according to the combination of SA and LRP heatmaps lead to an increase in classification score. The results corresponded well with the theory of the heatmapping-methods and lead to the conclusion that a combination of the two evaluation methods is advocated for, to fully understand a particular classification.
EFFECT OF PEDIOCOCCUS ACIDILACTI ON ENZYMATIC ANTIOXIDANT, PATHOLOGY AND BROILERS MEAT QUALITY UNDER SALMONELLA INFECTION

One hundred and twenty five three days-old broilers chick were used in this study to evaluate growth performance of S. enteritidis colonization, antioxidant, lipid peroxidation, meat quality and histopathological findings of broilers chick supplemented with Pediococus and challenged with Salmonella infection. The broilers chick were divided into four groups, control group without infection, Pediococcus group without infection, group infected with salmonella and Pediococcus group with Salmonella infection. The results indicated that the use of Pediococcus acidilactici was without affect on the growth performance, improved antioxidant, decreased lipid peroxidation, improved quality of meat and decreased histopathological lesion of Salmonella.
Discovering Elite Users and Routing Question in QA Community

— Question and Answering (QA) communities depend on a group or cohort of user profiles who have some distinct expertise in domain specific topics being considered and also continuously reply to questions being asked. We will call these users as "elite users". Discovering these elite user profiles enables other general users to find out trustworthy sources that can provide them with answers. It will allow the community system designers to route complex and highly domain specific questions, which are not adequately answered, to these elite users for a greater probability of being answered and credibility. The main aim for carrying out our work of scrutinizing the action and conduct of these active users in a specific QA community is to predict elite users based on early analysis of dependable features.
A Survey: Image Segmentation Techniques of Brain Tumor Detection through MRI Images

-The most common imaging technique for brain is MR imaging which is a non-invasive method. Brain tumor detection from MRI images is one of the most challenging tasks in today’s modern Medical imaging research. Magnetic Resonance Images are used to capture images of soft tissues in human body. This technique is used to analyze the human organs without the need for surgery. In order to detect brain tumor the fundamental process need to be implement called as image segmentation which is one of the most important and challenging aspect of computer aided clinical diagnostic tools. It is process of partitioning an image into distinct regions to segment out region of interest (ROI). Noises present in the Brain MRI images are multiplicative noises and reductions of these noises are difficult task. The noise removal process should not destroy minute anatomical details. This makes accurate segmentation of brain MRI images a challenge. A large variety of algorithms for segmentation of MRI images has been developed. The purpose of this paper is to succinctly review recent progress and current state of art knowledge related to various methods and techniques used to detect brain tumor through MRI image segmentation.
Running head: UNCERTAIN SELVES 1 Salient Selves in Uncertain Futures

We examined possible selves during three distinct periods of uncertainty. Cancer survivors (Study 1a) and survivors’ romantic partners (Study 1b) rated the salience of possible selves in which the cancer did (negative possible self; NPS) and did not (positive possible self; PPS) return. Study 2 mapped PPS and NPS salience throughout the four-month wait for bar exam results. Study 3 experimentally primed possible selves among participants awaiting medical test results. PPS salience correlated positively, and NPS negatively, with indicators of health and well-being, and inducing focus on one’s NPS led to greater negative emotion and worry compared to a PPS induction, but not less positive emotion. These results illustrate the well-being implications of possible selves during periods of uncertainty.
Enhanced UV photo-stabilization of Nylon 6 filament with reduced graphene oxide/polyurethane nanocomposite Inks

Purpose Nylon 6 filaments have weak light and heat resistance in terms of stability, which restrict its application in engineering field. The purpose of this paper is to prepare a new photo-stabilization functional nanocomposite inks by using graphene nanosheet as UV light-resisting functional materials incorporated with polyurethane. Design/methodology/approach Sunlight-resisting functional nylon filaments were produced by the continuous solution dip coating technology, through which the functional inks was coated on the surface of nylon 6 filament. The surface morphology of the coated filaments was characterized by scanning electron microscopy and the graphene/polyurethane nanocomposite inks as the coating agent was confirmed and well dispersed on the fiber’s surface. Findings Under UV exposure, the strength loss rate of the graphene-modified nylon filaments was less than 50 percent, while that of the control nylon filament was over 85 percent, which indicated that graphene remarkably enhanced the light-resistant property of nylon. Besides, graphene/polyurethane-coated Nylon 6 filaments exhibited reasonable electrical properties and the electrical conductivity could reach 10–4 S/cm. Originality/value Graphene inks was first proposed as the UV photo-stabilization in this paper.
IL-27 Concentration in Systemic Circulation and Tumor Micro-Circulation Samples of Sclc and Nsclc Patients; Association with Tumor Size, Histological Type and Presence of Metastases

IL-27 Concentration in systemic circulation and tumor micro-circulation samples of sclc and nsclc patients; association with tumor size, histological type and presence of metastases Introduction: Advanced lung carcinoma is charasterized with fast disease progression. IL-27 is considered as a cytokine with anti-tumor activities and its role in lung carcinoma pathogenesis and in the anti-tumor response has not yet been elucidated. Aim: To correlate IL-27 concentration in serum and lung tumor microcirculation with clinical stage, disease outspread, pathohistological features and TNM stadium. Patients and Methods: The study included 41 lung tumor patients in III and IV clinical stage. Histological type was determined immunohistochemically, while tumor size, localization and dissemination were determined radiologically (MSCT). IL-27 concentration was quantified with commercial ELISA test in serum and lung tumor microcirculation samples. Results: IL-27 concentration was significantly decreased in samples of all patients comparing to controls. In the patient’s samples, IL-27 was significantly increased in tumor microcirculation comparing to sera samples. Patients with NSCLC large cell histology type had the lowest IL-27 concentration, both in tumors and sera samples. Degree of disease spread was significantly associated with IL-27 levels, because concentration was significantly decreased in patient’s clinical stage IV or those with metastases, in both types of samples. Both in tumor microcirculation and sera samples, there was significant association of tumor size and IL-27 concentration, with the highest value of IL-27 in patients with the smallest lung tumors. Conclusion: IL-27 concentration is significantly elevated in tumor microenvironment of investigated lung cancer patients. IL-27 values significantly differ between lung cancer patients according to tumor histology, degree of disease extent and size of tumor. Significant association of higher IL-27 concentration with smaller tumors, earlier clinical stage and absence of metastases indicates that IL-27 cytokine have anti-tumor functions in these patients.
Anamorelin for the Treatment of Cancer Anorexia-Cachexia Syndrome of Lung Cancer

Anorexia and cachexia are among the most troubling and distressing symptoms of advanced cancer, for both patients and their families. Cancer anorexia-cachexia syndrome is a common debilitating condition, characterized by decreased body weight, mainly lean body mass and negatively impacts quality of life and prognosis. The condition is very common in patients with advanced lung cancer. Anamorelin HCl is a novel selective ghrelin receptor agonist with appetite-enhancing and anabolic activity. Anamorelin aims to address the symptoms by mimicking the effects of the so-called “hunger hormone” ghrelin, which is secreted by the stomach. The large, randomized controlled ROMANA 1 and 2 trials are the first phase III studies examining the impact of anamorelin on anorexia-cachexia in patients with advanced lung cancer. Ghrelin agonists, such as Anamorelin, carry potential in the treatment of CACS. Anamorelin HCL (ONO-7643: ANAM) is a potent and selective Ghrelin receptor agonist that mimics the N-terminal active core of Ghrelin [21]. ANAM has the advantage of being orally active and having a longer half-life (approximately 7hours) than Ghrelin [22,23]. Several clinical trials have found an increase growth hormone secretion following ANAM treatment in humans. growth hormone levels in the context of ANAM in for
ANTICANCER EFFECT OF BERBERINE: REGULATION OF DEATH SIGNALING PATHWAYS

Medicinal herbs had been used as an anticancer therapy. In the last decades, many alkaloids extracted from these herbs are characterized by its antitumor activity. Berberine, as the major component of Berberis plant, was exclusively studied over the last decades. Its effectiveness as an anti-inflammatory reagent, anti-depressor, antibacterial, antiviral, anti-diabetic and more had put it as a center of research especially as an anti-cancer reagent. This inhibitory effect of Berberine was elucidated by the anti-proliferative effects on different type of cancer as lung, breast, colorectal, Bladder, Glioblastoma, and leukemia by regulating different signaling pathways like PI 3 K/AKT, JAK/STAT, NF-κB/COX-2, Map-kinase pathway, the accumulation of ROS in the mitochondria as a result of the oxidative stress and other pathways are able to active the apoptotic molecules and senescence pathway. Recently the Autophagy induced cell death by berberine was also demonstrated as a third type of programmed cell death playing a special inhibitory effect on tumors. Here in our review we are going to resume the most recent work on Berberine by highlighting and discussing this activity.
AWERProcedia Information Technology & Computer Science

Many eye tracking studies investigate which parts of the screen are frequented and what we gaze on. However, even if we gaze on an object, we do not necessarily observe it; or, even if we do observe it, we may prefer another object. This paper analyses the correlation between users gaze and mouse clicks. Results showed differences between fixation and clicking sequences. However, users would find and click on targets that they did not fixate on. This means that the eye tracking method by itself is not sufficient for investigating what users do (not) observe; we should in addition use the mouse clicking method.