Miracle-dz/UniFAR-FTUs huggingface dataset:
An extremely rare case of appendiceal abscess causing extrinsic ureteric compression and secondary hydronephrosis

Acute appendicitis is a common condition requiring emergency surgery where patients typically present with a triad of fever, abdominal pain, and vomiting. Severe cases can result in perforation of the appendix or abscess formation. Depending on the pathological and anatomical changes, this can have variable clinically presentations. Here, we present a rare complication of appendicitis with right hydronephrosis due to direct compression of the right ureter by an appendiceal abscess. A 48-year-old lady was referred into to the emergency department with a 3-week history of gradually worsening lower abdominal pain associated with nausea, subjective fever, and appetite loss. She had no referable urinary tract symptoms or other systemic symptoms. Her medical history was unremarkable but she does have a family history of Crohn’s disease and heavy smoking intake. On examination, the patient was afebrile and hemodynamically stable. There was voluntary abdominal tenderness and guarding in the right iliac fossa. Laboratory workup revealed a normal white cell count, C-reactive protein (CRP) of 79 mg/L, and an acute kidney injury with creatinine rise to 90 umol/L and 65 mL/min/1.73 m2. Urine analysis was unremarkable. An
Developing pre-service teachers’ media literacy through text mediation

This article aims to achieve two purposes: presenting the findings of a mediation project and exploring practical implications of these findings for English language teaching. The project was conducted as part of an English language competence course in the Master of Education program at the University of Vienna. The course itself is designed to raise pre-service teachers’ genre competence through engaging students with genre analysis, written production and text mediation, with a particular focus on the canonical text genres featured in the standardized Austrian school-leaving exam. In this context, the term ‘mediation’ refers to adapting content and language so as to transform a text from one source or genre to another in line with genrespecific features and to facilitate sharing of information and knowledge between various audiences (cf. Council of Europe, 2018). In the course, we examined and highlighted linguistic differences in the crafting of tone, register and structure in school-leaving exam text types (such as blogs, reports, emails, as specified by the BMBWF, 2019) as well as other genres relevant to the field of education (e.g. abstracts, proposals). Since the project only focused on a small number of texts, its findings on tone in news articles and tweets cannot be generalized but can nevertheless serve as an impetus for promoting the integration of media literacy in teacher education programs as well as EFL classrooms.
Community pooling: LDA topic modeling in Twitter

Social networks play a fundamental role in propagation of information and news. Characterizing the content of the messages becomes vital for tasks like fake news detection or personalized message recommendation. However, Twitter posts are short and often less coherent than other text documents, which makes it challenging to apply text mining algorithms efﬁciently. We propose a new pooling scheme for topic modeling in Twitter, which groups tweets whose authors belong to the same community on the retweet network into a single document. Our ﬁndings contribute to an improved methodology for identifying the latent topics in a Twitter dataset, without modifying the basic machinery of a topic decomposition model. In particular, we used Latent Dirichlet Al-location (LDA) and empirically showed that this novel method achieves better results than previous pooling methods in terms of cluster quality, document retrieval tasks, supervised machine learning classiﬁcation and overall run time.
Understanding the Limitations of Replaying Relay-Created COMTRADE Event Files Through Microprocessor-Based Relays

— The Common Format for Transient Data Exchange (COMTRADE) file format is an IEEE standard by which power system disturbance data are stored for analyzing system events. COMTRADE files can be viewed using software from various manufacturers, and with a compatible test set COMTRADE files can be replayed into relays. COMTRADE files allow users to analyze system events and improve the protection algorithms used in relays. This paper highlights critical parts of the COMTRADE standard and discusses the limitations to replaying event files into a relay. It also provides a deeper understanding of COMTRADE files and how replaying system disturbances can yield responses in the protection elements different from those of the original event. The paper focuses specifically on system disturbances that involve frequency excursions and provides recommendations for replaying event files that contain frequency deviations.
Affordable passive 3 D-printed prosthesis for persons with partial 1 hand amputation 2 3

52 Background and Aim: Partial hand amputations are common in developing countries and have 53 a negative impact on patients and their families’ quality of life. The uniqueness of each partial 54 hand amputation, coupled with the relatively high costs of prostheses, make it challenging to 55 provide suitable prosthetic solutions in developing countries. Current solutions often have long 56 lead times, and require a high level of expertise to produce. The aim of this study was to design 57 and develop an affordable patient-specific partial hand prosthesis for developing countries. 58 59 Technique: The prosthesis was designed for a patient with transmetacarpal amputation (i.e. 60 three amputated fingers and partial palm). The final design was passive, controlled by the 61 contralateral hand, and utilized the advanced flexibility properties of thermoplastic 62 polyurethane in a glove-like design that costs approximately $20 USD to fabricate. 63 Quantitative and qualitative tests were conducted to assess performance of the device after 64 the patient used the final design. A qualitative assessment was performed to gather the 65 patient’s feedback following a series of tests of grasp taxonomy. A quantitative assessment 66 was performed through a grasp and lift test to measure the prosthesis’ maximum load 67 capacity. 68 69 Discussion: This study showed that the prosthesis enhanced the patient’s manual handling 70 capabilities, mainly in the form of grasp stability. The prosthesis was light weight and could be 71 donned and doffed by the patient independently. Limitations include the need to use the 72 contralateral hand to achieve grasping and low grasp strength. (240 words) 73 74 Clinical Relevance 75 Persons with partial hand amputation in developing countries lack access to affordable 76 functional prostheses, hindering their ability to participate in the community. 3D-printed 77
Path to Urban Sustainability by use of IoT

As the demand for good governance and smart cities has grown, so has the desire for the use of new technology, software, and procedures to achieve a more effective approach. The Internet of Things (IoT) is one such example of a driving scientific approach to smart city implementation. This paper will cover the IoT, smart cities, and technological advancements such as Big data and other analytical tools in order to synergize and optimise their use in decision making process. Moreover, the existing usage of IoT around the world will be discussed and the challenges associated with it. As urban planning has vast umbrella of domains which comes into conjunction of people, services, decision makers and the many more, there is a high chance of dynamic data and changing of technologies. Thus, a more efficient way in progress of such application in sustainable manner with real time scenario has to be envisaged. Studying of opportunities and challenges in sustainable urban development and IoT shall facilitate conjunction of various sectors with urban planning.
Genetic potential and breeding value of animals – an essential component of the genetic progress in dairy cattle

Institute of Animal Biology NAAS, Lviv, Ukraine Stepan Gzhytskyi National University of Veterinary Medicine and Biotechnologies, Lviv, Ukraine Institute of Agriculture of Carpathian region NAAS, Obroshyne, Ukraine Polissia National University, Zhytomyr, Ukraine Institute of Animal Breeding and Genetics nd. a. M.V. Zubets of NAAS, Kyiv, Ukraine *Corresponding author E-mail: bvh@ukr.net Received: 16.03. 2021. Accepted 27.04. 2021
HIV/AIDS Prevalence in the Southern Highlands of Tanzania and the Challenges Facing Donor Funded Projects in Kilolo District, Iringa Region

Tanzania, like any other Sub Saharan African country has been grappling with HIV/AIDS since 1980s. While the national average of HIV/AIDS infection was 4.8% in 2019, the Southern Highlands display high prevalent standing at 9.1%. This is appalling given the presence of various donor-funded projects focusing on the prevention of HIV/AIDS in the region. This paper sought to unravel the inherent reasons behind the failure of donor-funded projects to effectively address HIV/AIDS infection in the Southern Highlands of Tanzania especially in Iringa Region. A mixedmethod approach was applied whereby quantitative and qualitative data were collected and analysed. The findings revealed a number of donor-funded projects operating in Kilolo District focusing on prevention of the HIV/AIDS pandemic. It was also observed that the donor-funded projects encounter a number of challenges which hinder their efforts to scale down HIV/AIDS prevalence. The challenges include irregular monitoring and evaluation of the programs, lack of leadership and management skills as well as limited training to build the capacity of beneficiaries. This paper recommends that more efforts should be made to increase the level of inclusiveness at the local level along with improving monitoring and evaluation mechanisms. This will enhance the sustainability of donor funded projects and hence reduce the severity of HIV/AIDS in the region especially in Kilolo District. Paper History
BRAIN TUMOR CLASSIFICATION USING DEEP LEARNING

The early detection of the tumor plays an important role in the recovery of the patient. In our proposed model, we have collected MRI scans as it helps with the information about the blood supply inside the brain. Thus, for the recognition of anomaly, for examining the increasing of the ailment, and for the diagnosis, we prepared a data set consisting of various MRI images. We then focused on removing unwanted noise and image enhancement. The image characteristics can be enhanced by using image preprocessing techniques. The image enhancement depends upon different factors like computational time, computational cost, quality of the uncorrupted image, and the techniques used for noise elimination. We have made use of various filters for the image pre-processing. In our next step, image segmentation, an image is divided into several regions. We have implemented different types of segmentation techniques including active contours snakes, fuzzy C means, and regionderived triple thresholding. We have further implemented two hybrid segmentation models and used computer-aided detection techniques. Post-processing of the data is done using artificial bee colony optimization and watershed filtering and extraction. We then classify two images into tumor and non-tumor category using the VGG-16 CNN model. The features of the segmented images were further classified into various types of tumors, including Glioma tumor, Meningioma tumor, Pituitary tumor, and no tumor using one-hot encoding. This approach was further validated using synthetic and real MR image dataset from Kaggle (name of data set), to detect and classify different types of tumor.
DEMOCRACY AND SOCIAL SERVICE: ON THE CONSERVATIVE REVISIONISM OF CRITICAL RENEWAL democracy and social service: on the conservative revisionism of critical renewal

This article aims to present a brief reflection on the democratic crisis and the current trends of the political and economic context of Brazilian society, looking at some of its main developments for Social Work, particularly for the legacy of the critical renewal of the profession. Among these, the emphasis is on the expressions of reactionary conservatism and authoritarianism in the theoreticalmethodological, political-organizational dimensions as well as in the legal and institutional framework of the Brazilian Social Service, configuring itself as ongoing disputes and threats to professional design and status. Because it is a theoretical essay, the methodology used was fundamentally based on bibliographic research and the study of important authors, classic and contemporary, of critical social thinking.
Phytogenic Substances as Safe Growth Promoters in Poultry Nutrition

Antibiotics growth promoters (AGPs) have been used in poultry feed to improve gut health and growth performance for a long time. Increasing concerns about the negative impact of AGPs have led to research on the use of natural feed additives in poultry feed to ascertain better performance and safety in the food chain. Herbs and substances of plant origin (garlic, oregano, thyme, anise, rosemary, and cinnamon) are defined as phytogenics, phytobiotics or botanical natural feed additives. Numerous studies on such substances in poultry production have shown more beneficial effects such as antimicrobial, antiviral, antioxidant, enhancing gut function, etc. These substances have several advantages over commonly used as growth promoters; they are residue-free and safe. Phytogenic substances gained much attention to be ideal growth promoters in poultry nutrition. However, evaluation methods of their effects and interactions with other medical treatments have to be improved. In general, phytogenic substances could be natural and safe growth promoters in animal and poultry feeds.
AN ENSEMBLE APPROACH FOR DETECTING MACHINE FAILURE FROM SOUND Technical

We develop an ensemble-based approach for our submission to the anomaly detection challenge at DCASE 2020. The main members of our ensemble are auto-encoders (with reconstruction error as the signal), classiﬁers (with negative predictive conﬁdence as the signal), mismatch of the time-shifted signal with its Fourier-phase-shifted version, and a Gaussian mixture model on a set of common short-term features extracted from the waveform. The scores are passed through an exponential non-linearity and weighted to provide the ﬁnal score, where the weighting and scaling hyper-parameters are learned on the development set. Our ensemble improves over the baseline on the development set.
Perspectives and Advances in Probiotics and the Gut Microbiome in 12 Companion Animals 13 14 15

Author Daniel Lee, Tae Wook Goh, Min Geun Kang, Hye Jin Choi, So Young Yeo, Chul Sung Huh, Yoo Yong Kim, and Younghoon Kim Affiliation Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea Ildong Bioscience, Pyeongtaek 17957, Korea Research Institute of Eco-friendly Livestock Science, Institute of Green-Bio Science and Technology, Seoul National University, Pyeongchang 25354, Korea Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Korea
Anti-diabetic Effect of Purslane (Leaves, Seeds and Mixture) in Alloxan-Induced Diabetic Rats

: The effect of different concentrations (2.5 and 5%) of purslane ( Portulaca oleraceae, L.) leaves, seeds and mixture on diabetic rats were evaluated. Eighty four rats were used in this study and divided into 8 groups, each group contain 6 rats. Rats were treated by alloxan (150mg/kg B.W) to induced diabetic. Results showed that the lowest glucose level of treated groups recorded for 2.5% purslane seeds with significant differences. While, the highest glucose level of treated groups recorded for 5 % purslane seeds with significant differences. The mean values were 163.75 and 131.75, respectively. The lowest GPT and GOT liver enzyme recorded for 2.5% purslane mixture and 2.5% purslane leaves with significant differences. The lowest total cholesterol and triglycerides recorded for 5% purslane mixture and 5% purslane leaves with significant differences. The highest high density lipoprotein of treated groups recorded for 5 % purslane mixture. While the lowest low density lipoprotein and very low density lipoprotein recorded for 5% purslane mixture and 2.5% purslane seeds with significant differences. The lowest uric acid, urea and creatinine recorded for 5% purslane leaves, 2.5% purslane leaves and 2.5% purslane leaves with significant differences. As conclusion, purslane seeds and leaves showed highly effect for reduce glucose level, liver functions, kidney functions and improve lipid profile in rats.
On the Naturalness of Fuzzer-Generated Code

Compiler fuzzing tools such as Csmith have uncovered many bugs in compilers by randomly sampling programs from a generative model. The success of these tools is often attributed to their ability to generate unexpected corner case inputs that developers tend to overlook during manual testing. At the same time, their chaotic nature makes fuzzer-generated test cases notoriously hard to interpret, which has lead to the creation of input simplification tools such as C-Reduce (for C compiler bugs). In until now unrelated work, researchers have also shown that human-written software tends to be rather repetitive and predictable to language models. Studies show that developers deliberately write more predictable code, whereas code with bugs is relatively unpredictable. In this study, we ask the natural questions of whether this high predictability property of code also, and perhaps counter-intuitively, applies to fuzzer-generated code. That is, we investigate whether fuzzer-generated compiler inputs are deemed unpredictable by a language model built on human-written code and surprisingly conclude that it is not. To the contrary, Csmith fuzzer-generated programs are more predictable on a per-token basis than human-written C programs. Furthermore, bug-triggering tended to be more predictable still than random inputs, and the C-Reduce minimization tool did not substantially increase this predictability. Rather, we find that bug-triggering inputs are unpredictable relative to Csmith's own generative model. This is encouraging; our results suggest promising research directions on incorporating predictability metrics in the fuzzing and reduction tools themselves.
Resolving Tensions among Creative Departments through Brand Identity Definition: The Case Study of Pininfarina

In 2007, the famous Italian car design firm Pininfarina decided to develop its own mono-branded finished goods business. The jump from exclusively B2B activities to B2C was a major strategic move. The project initiated with the formalization of a possible brand identity as being the necessary preliminary exercise. Through the study of all the design activities over 80 years of history and following a semiotic approach, brand aesthetics and ethics invariants were identified. Four different design teams were involved in the project and 5 main findings were identified in the course of the project: Tensions exist among the various design teams because of the lack of coherence in design and each pretends to interpret the brand in a more consistent way The creative teams feel the need for a well-defined and formalized brand identity, providing some missing common creative guidelines characterizing he brand The design teams participated actively and enthusiastically to the process of brand identity definition The President’s positive attitude towards the project and his direct involvement have been essential in the project success The tensions among the design teams have decreased by the brand identity definition process and results The study had direct academic and operational implications: It proved the validity of the semiotic approach to the formalization of brand identity A diagnostic tool was created to measure the degree of consistency of any designed brand manifestation (car, advertising, architecture, car show installations…) with respect to the defined brand ethics and aesthetics. Finally, Pininfarina presented a special concept car (Sintesi) at the Geneva car show in 2008 that integrated all the elements of the newly defined brand identity.
PII: S1010-7940(02)00670-X

Endocarditis may be difficult to diagnose in patients with osteomyelitis in an early stage because they usually are treated for fever, bone pain and stiffness in the outpatient department. Herein we report an uncommon patient who developed severe lower back pain sustained for 2 months, and streptococcal viridans infected vertebral osteomyelitis combined endocarditis were diagnosed and cured. q 2002 Elsevier Science B.V. All rights reserved.
APPSWE Microinjected Mouse Model | Taconic Biosciences

APPSWE Microinjected Mice express a mutated form of the human gene for amyloid precursor protein (APP) known as the Swedish mutation (APPSWE). The gene encodes a double amino acid substitution and is associated with a heritable susceptibility to Alzheimer’s Disease (AD). Resulting phenotypic manifestations in APPSWE Microinjected Mice include progressive accumulation of beta amyloid (Aβ) in the brain, analogous to classic “senile plaques” of human AD, and correlated cognitive deficits.
Safety of Repeated Reperfusion Therapy (Thrombolysis and Trombectomy) in Early Recurrent Stroke: A Case Report

Thrombolytic therapy with Recombinant Tissue Plasminogen Activator (r-tPA) for acute ischemic stroke (AIS) is well established stroke treatment for almost three decades such as mechanical thrombectomy (MT) in the last 10 years. Current guidelines for thrombolytic treatment of AIS cited a history of previous stroke within 3 months as a contraindication to re-thrombolytic treatment, which has not be changed since the beginning of the use of r-tPA for AIS treatment. These recommendations are based on assumed complications with increased risk of symptomatic intracerebral hemorrhage, hypersensitivity reactions, neurotoxic effect and blood-brain barrier disruption, associated with re-administration of r-tPA in early recurrent stroke with a consequent poor functional outcome. The risk of AIS recurrence within 3 months is about 14-18%, which strictly based on these guidelines, excludes a large number of patients who suffered a stroke recurrence for repeated intravenous thrombolysis (RIVT), regardless of the needs or possibility for MT. In recent years, some large case series and case reports have confirmed the safe and effective use of RIVT in early recurrent AIS (ERAIS), without a significant increase in bleeding risk or poorer clinical outcome. We present the case of patient with ERAIS within 54 hours in whom we conducted RIVT in combination with repeated mechanical thrombectomy with satisfactory functional recovery.
PII: S0196-9781(01)00410-7

Fluor-PACAP, a fluorescent derivative of PACAP-27, has been confirmed to share a high affinity for PAC1 receptors transfected into NIH/3T3 cells and to have comparable pharmacological characteristics to the unconjugated, native form. Through competitive binding with I-PACAP-27, the two ligands exhibited similar dosedependent inhibition. Additional examination of the efficacy of activating adenylyl cyclase revealed that both ligands analogously stimulated the production of cyclic AMP. Furthermore, PAC1 internalization visualized by our Fluor-PACAP, is compareable to that performed with the radioligand, I-PACAP-27, with maximal internalization achieved within thirty minutes. Thus, Fluor-PACAP exhibits intracellular signaling abilities homologous to the native ligand. © 2001 Elsevier Science Inc. All rights reserved.