Miracle-dz/UniFAR-FTUs huggingface dataset:
Is there a role for proteomics in diabetic renal disease?

Diabetic kidney disease (DKD) is the most common cause of end-stage renal disease (ESRD). The burden of DKD is expected to continue to increase in parallel with rising prevalence of type 2 diabetes and obesity, coupled with the decline in competing mortality from cardiovascular disease as a result of more effective therapies [1]. Most patients with DKD do not undergo renal biopsy and diagnosis is generally based on clinical parameters, namely presence of diabetes, features of kidney disease including reduced renal excretory function and/or albuminuria, and absence of other kidney disease. However, this pragmatic clinical approach is associated with some uncertainties. Biopsy studies in people with diabetes have shown that approximately two-thirds of patients have superimposed DKD or non-DKD alone and are thereby potentially mismanaged [2]. We know that only a small proportion of patients with diabetes will develop DKD; moreover, the natural history of the disease is evolving. For example, a considerable number of patients develop renal failure without progressing through microand macroalbuminuric stages, supporting the concept of non-albuminuric DKD; in addition, patients with microalbuminuria can regress to normoalbuminuria. Histological damage can, however, be present already at microalbuminuric stages. DKD is a complex and multifactorial condition determined by genetic susceptibility and interaction with environmental factors including glycaemic control, blood pressure and other risk factors such as smoking and use of nephrotoxic medication. Therefore, the prediction of an individual’s likelihood to develop DKD, to progress rapidly to ESRD and to respond to treatment can only be estimated based on features that are thought to play a universal role in the pathogenesis of DKD. It is unlikely that therapies which target all pathogenetic principles simultaneously will ever be available, and personalized approaches to DKD management are therefore warranted. However, we do not currently have the evidence base and the tools to describe individual patients’ disease signature in a manner comparable to rapidly progressing forms of glomerulonephritis, vasculitis or in patients receiving renal transplants where immune diagnostics and molecular pathology inform patient management. W H A T I S P R O T E O M I C S ?
Effects of Antimicrobial Agents on the Survival and Development of Larvae of Pimpla turionellae L. (Hymenoptera: Ichneumonidae) Reared on an Artificial Diet

The effects of 13 antimicrobial agents that have different structures and modes of action, on the survival and development of the hymenopterous endoparasitoid, Pimpla turionellae L. , were investigated by rearing the larvae aseptically on chemically defined synthetic diets. These effects varied according to their kind and dietary levels. The agents tested exerted their effects generally during the post-larval development of the insect. The post-larval survival and development were negatively affected by most of the agents tested at certain levels. The antimicrobial agents tested also affected the larval development but had no significant effects on the larval survival of the insect. The larvae showed a wide tolerance against both the kind and dietary levels of the agents. None of the agents tested were toxic to the larvae. Sodium benzoate and nystatin at low levels had positive effects on the food consumption of the larvae.
Challenges of Music Recommendation Software

In this paper, we present results of the analysis of a music identification application – Shazam Our aim was to discover if applications such as Shazam can improve organisational systems of performing rights organizations (PROs) in the area of precise monitoring of the songs used in the night club environment. The aim of the research was to evaluate how precise Shazam is in two different environments, the first one being a night club (where the music is loud and the signal to noise ratio is high) and the other one being home studio environment, where the signal to noise ratio is low. Each song was tagged for 10 seconds in two different environments and Shazam created two different audio fingerprints for each song based on some of the anchors of the simplified spectrogram and the target area between them. The conclusion is that Shazam application is not very accurate in the night club environment and, at this stage, cannot be used by performing rights organizations to monitor the music played in public spaces. In order for royalties to be collected and distributed correctly, one needs to have more precise instruments that offer the guarantee that music creators will get their due.
Canada's National Ecological Framework: An asset to reporting on the health of Canadian forests

The Canadian Forest Service, in cooperation with its partners, has a mandate to report on the health of Canada's forests and determine if, how, and why it is changing. A holistic perspective of forest health is taken whereby the ecosystem rather than a single element is considered. The use of the national ecological classification of Canada as a key reporting framework facilitates this task. Advantages for reporting purposes are several, including the use of ecological over jurisdictional boundaries to discuss ecosystems, wide national acceptance of the framework, and access to a wide array of other environmental databases that use the same framework. Compromises have to be made for forest health reporting as the ecological classification is not a forest ecosystem classification. However, advantages to using the framework for national reporting far outweigh these shortcomings. Key words: ecological land classification, forest health, national and international reporting
Mail and internet surveys

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Recurrent neural network language models in the context of under-resourced South African languages

Over the past five years neural network models have been successful across a range of computational linguistic tasks. However, these triumphs have been concentrated in languages with significant resources such as large datasets. Thus, many languages, which are commonly referred to as under-resourced languages, have received little attention and have yet to benefit from recent advances. This investig tion aims to evaluate the implications of recent advances in neural network language modelling techniques for under-resourced South African languages. Rudimentary, single layered recurrent neural networks (RNN) were used to model four South African text corpora. The accuracy of these models were compared directly to legacy approaches. A suite of hybrid models was then tested. Across all four datasets, neural networks led to overall better performing language models either directly or as part of a hybrid model. A short examination of punctuation marks in text data revealed that performance metrics for language models are greatly overestimated when punctuation marks have not been excluded. The investigation concludes by appraising the sensitivity of RNN language models (RNNLMs) to the size of the datasets by artificially constraining the datasets and evaluating the accuracy of the models. It is recommended that future research endeavours within this domain are directed towards evaluating more sophisticated RNNLMs as well as measuring their impact on application focused tasks such as speech recognition and machine translation.
Concealment from predators drives foraging habitat selection in brood-rearing Alpine black grouse Tetrao tetrix hens: habitat management implications

Abstract Declines of Alpine black grouse Tetrao tetrix populations have been linked to increasing disturbance by recreation and degradation of breeding habitat due to changes in land-use, especially abandonment of traditional farming practices. Appropriate forest, shrubland and grassland management may mitigate the negative effects of land abandonment. The habitat associations and trophic requirements of brood-rearing Alpine black grouse hens were appraised to inform effective habitat management policies. We measured the abundance, biomass and phenology of arthropods, a key food source for grouse chicks, in eight timberline habitat categories and performed a habitat selection analysis based on radio-tracking data collected from eight brood-rearing hens in the Swiss and Italian Alps. Arthropod biomass differed significantly between habitat categories and peaked in early summer due to a sharp increase of orthopterans (Saltatoria), an essential food source for Alpine black grouse chicks. Open grassland and grassy shrubland yielded the highest arthropod biomass, with Saltatoria dominating the sample. Yet, brood-rearing hens avoided open grassland, opting for a mosaic of grassy shrubland with scattered trees. Chick-rearing hens apparently traded-off food abundance for reduced predation risk, i.e. habitats offering cover for concealment and escape from predators. These specific black grouse breeding habitat requirements inform about habitat management within Alpine timberline ecosystems. Managers should not restore extensive, homogeneous pasturelands. Instead, a complex heterogeneous habitat mosaic, consisting of patches of grassland and shrubland interspersed with scattered coniferous trees should be promoted.
Microbiological Study On Respiratory Tract Infections In Libya

Introduction: Recent reports revealed that 10% of the worldwide burden of morbidity and mortality relates to respiratory tract infection. Patient and methods: Five hundreds and fifty nine clinical strains were isolated and identified from 322 patients suffering from respiratory tract infections. Patients represented different ages, sexes, and types of infections. Out of the 322 patients, 204 were suffering from upper respiratory tract infections and 118 patients were suffering from lower respiratory tract infections. Patients of upper respiratory tract infections were suffering from chronic suppurative otitis media (63 patients), tonsillitis (50 patients), pharyngitis (48 patients), and sinusitis (43 patients). Results: Out of the total isolates, Staphylococcus aureus was the most prevalent organism, followed by Streptococcus pyogenes and Klebsiella pneumoniae (17.71, 12.34, and 11.27% respectively). Pseudomonas aeruginosa represented 6.26%. Serratia marcescens and Morganella morganii were the least isolated organisms. The results revealed that 52.42% of the strains were isolated from males and 47.58% from females. Staphylococcus aureus was the most prevalent organism in males (21.16%) while in females Strept. pyogenes was the most prevalent organism (14.29%). Also, the study revealed that Staphylococcus aureus was the most frequent isolate in age groups between 1-20, 21-40 and 41-60 years old (20.85%, 17.02% and 16.67% respectively). However, both Staphylococcus aureus and Klebsiella pneumoniae were isolated with equal incidences, 12% each, in elder patients (more than 60 years). The susceptibility pattern of the isolated bacteria to different antimicrobial agents was studied. Both levofloxacin and gatifloxacin showed the highest activity (100%), followed by ofloxacin and ciprofloxacin (96.44% and 93.39%, respectively). Those are followed by amikacin (91.86%), cefotaxime (89.31%), cefoperazone (86.26%), gentamicin (84.22%), ampicillin-sulbactam (70.48%), amoxycillin-clavulanic (62.34%), cefuroxime (62.09%), lincomycin (61.83%), vancomycin (61.07%), chloramphenicol (57%), cephalexin (48.35%), cephapirin (45.29%), erythromycin (44.78%), and trimethoprim-sulphamethoxazole (43%). Amoxycillin and tetracycline were the least active ((36.64% and 32.06% respectively). Staphylococcus aureus strains resistant to amoxycillin were tested for B-lactamase production. Out of the tested strains, 62.5% were B- lactamase producers and it may be responsible for the resistance to amoxycillin. In conclusion, the study revealed that evaluation of respiratory tract infections and antimicrobial susceptibility is still in need for more studies. This is due to the continuous development of newly resistant strains and the relatively little number of isolates in some species. Moreover, the differences in the previous antimicrobial treatment, the history of subclinical infections and the immune status of patients involved in each study have increased the difficulty in evaluation.
How Can We Build More Reliable EDA Software?

Many EDA development groups rely on full tool testing as the only means of determining program correctness. Meanwhile, other software development communities have made use of extensive unit tests as a method of assuring high-quality components. We believe that the value of such testing is derived from principles familiar to the EDA community from hardware test generation: the need for both controllability and observability of a unit under test to verify correct behavior. We believe that unit testing has value both for the development of new code and for the understanding and adoption of existing code, though it may require substantial refactoring * to make older code testable. We explore both the value and costs of unit testing for EDA software, as well as noting some alternatives to stand-alone unit testing that may provide some degree of observability and controllability when full unit testing is impractical. We describe tools and resources we have used in putting together a unit test infrastructure at Blue Pearl Software.
Improving Lifetime of Wireless Sensor Netwoks with Energy Efficient Routing

Wireless sensor network has become well known and most interesting area of research in now days. The main motto of wireless sensor network is to monitor physical or environmental phenomenon. Instead of focusing interaction on humans, focus on interacting with environment. Climatic conditions such as temperature, humidity, luminosity, liquid presence or human intruders acts like in the battle field or at the borders. The Wireless Sensor Network (WSN) monitors the environment for a long duration. A small or no human maintenance is available for this kind of network. All the tasks such as processing and propagation of information have to perform solely by nodes in the WSN. For all the performing capability the only source of energy available are batteries. Thus most of the efforts are made in order to minimize the power consumption and maximize the energy in the network which in turns prolongs the life time of wireless sensor network (WSN). Many power efficient routing techniques are used to minimize the power constraint. In this paper I propose a power efficient routing protocol AODV in combination with a compression algorithm Remote Differential Compression (RDC). Basically the comparison is made in between the power consumption of network with and without using the energy efficient algorithm. The result of simulation can be show usingNS2 simulator.
Remote sensing of vital signs and biomedical parameters: A review

According to the World Health Organization, cardiovascular diseases correspond to the prime cause of death globally. Several technologies are employed to measure vital signs remotely. For instance, webcams correspond to ubiquitous systems that can be used to detect cardiovascular pathologies by sensing important physiological parameters like pulse rate. A review of technologies and methods used to remotely measure vital signs and biomedical parameters is proposed in this article. Remote sensing of physiological parameters concerns every person: from healthy, ill or hospitalized persons to people with disabilities or with reduced autonomy.
Coherent control of the absorption and scattering of an isolated plasmonic nanoantenna integrated in a silicon waveguide

In this paper, we use an on-chip approach to experimentally demonstrate that the absorption and scattering of a subwavelength plasmonic nanoantenna can be manipulated by using coherent illumination. To do so, we integrate the nanoantenna in a gap separating two silicon photonic waveguides so that it can be illuminated from its both sides by two coherent beams with controlled amplitude and phase. We show experimentally that scattering can be modulated by about one order of magnitude, whilst higher values could be obtained by further optimization. This finding paves the way towards coherent all-optical data processing in subwavelength devices integrated on silicon-compatible chips.
Ecosystem Health: New Goals for Environmental Management, Robert Costanza, Bryan Norton and Ben Haskell. 1992. Island Press, Washington, DC. 304 pages. $40.00 (hc); $22.00 (pb

disputes have found their way into the policy-making process, pitting the values of science, technology, and economics against the practice of politics. Within this context, the author examines how the American government makes environmental policy at federal and state levels, as well as their enforcement agencies designed to protect and regulate the environment. A succinct description is offered of the processes followed by federal agencies, especially the processes and problems found in the U.S. Environmental Protection Agency (EPA). Portney also discusses legislation, public opinion, implementation, and non-implementation over water, air, and soil managment issues, such as acid rain, ozone depletion, air and water quality, and hazardous waste.
A randomized controlled trial of internet-delivered cognitive behaviour therapy for adolescent anxiety disorders in a routine clinical care setting with and without parent sessions.

BACKGROUND Computerized treatments have been shown to be effective in young people with anxiety disorders within research settings. The aims of this study were to evaluate a self-completed, therapist-supported online treatment for adolescent anxiety disorders in a routine clinical care setting and examine whether additional sessions for parents improved treatment outcome. METHOD Sixty adolescents (13-18 years) referred by primary and secondary care services for treatment of an anxiety disorder and their parent(s) were randomly allocated to begin treatment immediately or after a 16-week waitlist. Half the parents (receiving treatment immediately or after a waitlist) were allocated to receive sessions themselves. Assessments were conducted pre- and posttreatment and at 6-month follow-up. RESULTS There was no significant difference posttreatment between the immediate treatment and waitlist groups in remission of primary anxiety disorder (Odds Ratio (OR) = 2.19, 95% CI: 0.72-6.70). Parent sessions did not significantly improve adolescent outcomes immediately or at 6-month follow-up (OR = 0.75, 95% CI: 0.26-2.15; OR = 1.14, 95% CI: 0.42-3.15). CONCLUSIONS Within a routine clinical care setting, a therapist-supported online treatment failed to deliver significantly better outcomes for adolescents with anxiety disorders than a waitlist. Further research is needed to develop more effective treatments for this population.
SÃO PAULO REAL ESTATE MARKET: INTERFERENCE OF ECONOMIC INDICATORS IN SALES OF RESIDENTIAL REAL ESTATES

This article consists of a specific analysis of the real estate market of São Paulo, the biggest and most representative city in Brazil. The aim of this study is to find factors that have influenced in home sales in this city. Through studies in the literature, we sought variables involved in the real estate market in general. After the choice of variables, we calculated a correlation matrix, and from there, we conducted a multiple linear regression with only significantly correlated variables. Finally, it is concluded that the variables value of letter of credit SBPE and the value of the SELIC rate explain 74.34% of real estate sales in São Paulo between 2004 and 2015.
Work and Unemployment in the Time of COVID-19: The Existential Experience of Loss and Fear

This article explores the existential loss, anxiety, and terror that is evoked by the massive unemployment brought on by the COVID-19 pandemic. Growing inequality and marginalization in the workforce prior to the advent of this health crisis is reviewed as a major antecedent that set the stage for the unemployment crisis that now defines this era. An overview of the nature of the needs that working optimally can fulfill is presented, which include survival, social connection/contribution, and self-determination. The loss of work is then connected to the notion of existential terror, which captures the emotional imperative to survive as well as the need to manage the psychological consequences of threats that undermine existence. Suggestions for mitigating the impact of job loss and its attendant sense of terror are then presented, which include systemic interventions, relational and psychotherapeutic support, and individual coping strategies