Miracle-dz/UniFAR-FTUs huggingface dataset:
Advances in antiplatelet therapy: overview of new P2Y12 receptor antagonists in development

Platelets play an important role in thrombus formation. A number of new antiplatelet agents currently in development are anticipated to improve clinical outcomes and safety benefits in patients with acute coronary syndrome (ACS). This manuscript reviews the pharmacology and clinical development of three of these agents: prasugrel, cangrelor, and AZD6140. Prasugrel, a third-generation, oral thienopyridine, has been shown to be superior to clopidogrel, the current gold standard, in preventing ischaemic events in patients with ACS undergoing percutaneous coronary intervention (PCI), although the bleeding rate was higher. Cangrelor, a chemical analogue of adenosine triphosphate, is a potent direct platelet P2Y12 antagonist. In development as an intravenous agent, cangrelor is currently being evaluated in two phase III studies in patients requiring PCI. AZD6140 is the first of a novel new class of antiplatelet agents that inhibits adenosine diphosphate-induced platelet aggregation at the level of the P2Y12 receptor. AZD6140 was shown to have a good safety profile in phase II studies and is currently being studied in a phase III trial in patients with ACS.
ANALYSIS OF AN ELEVATOR SYSTEM USING DISCRETE EVENT SIMULATION: CASE STUDY

This paper documents the work conducted to simulate an elevator system, using SIMIO software. The modelled system represents a case study that was analyzed in a hospital at Braga, Portugal. A previ-ous work on the same case study concluded that the best dwell time configuration would be around 10 seconds, however it did not consider the impact of different client demand on the elevator system. In this sense, this paper analyses the impact of both parameters on the performance of the system. This will be achieved by analyzing the impact on the total time spent by clients in the system, the number of clients inside the system, and waiting for the elevator, waiting time, average elevator occupation and number of elevator movements. Conclusions and future work agenda were discussed in the conclusions section.
A general end-to-end diagnosis framework for manufacturing systems

Abstract The manufacturing sector is envisioned to be heavily influenced by artificial-intelligence-based technologies with the extraordinary increases in computational power and data volumes. A central challenge in the manufacturing sector lies in the requirement of a general framework to ensure satisfied diagnosis and monitoring performances in different manufacturing applications. Here, we propose a general data-driven, end-to-end framework for the monitoring of manufacturing systems. This framework, derived from deep-learning techniques, evaluates fused sensory measurements to detect and even predict faults and wearing conditions. This work exploits the predictive power of deep learning to automatically extract hidden degradation features from noisy, time-course data. We have experimented the proposed framework on 10 representative data sets drawn from a wide variety of manufacturing applications. Results reveal that the framework performs well in examined benchmark applications and can be applied in diverse contexts, indicating its potential use as a critical cornerstone in smart manufacturing.
Real options games between two competitors: the case of price war

This paper takes the subject of optimal investment strategies for firms acting on a competitive market. An investment decision-making process is described as a game between two players, and the real options approach is used to find a value of an investment project, therefore the paper falls in the area of the real options games. Based on games solutions we formulate recommendations for competitors. It comes as no surprise that the advantage is primarily on the side of a dominant company, but under certain circumstances, a weaker party has a very strong bargaining chip. To mitigate possible effects of price war, firms may cooperate and their negotiations could be supported by a payoff transfer computed as the coco value. It also turned out that the possible cooperation between competitors gains significance when a project risk is high, as well as when the price war is cut-throat.
Challenges Facing Police Gender and Children’s Desks in Reduction of Gender-Based Violence and Violence against Children: A Case of Kinondoni District, Dar Es Salaam Region, Tanzania

The study was meant to investigate challenges facing police gender and children's desks in reduction of gender-based violence and violence against children in Kinondoni district, Dar es Salaam region in Tanzania. Specifically, this study sought to identify challenges facing gender desks in Kinondoni District and sought to examine the manner such challenges have affected practice or operations of gender desks in the area. The study took place in Kinondoni district as a case study strategy because the area had experienced many forms of violence incidences compared to other districts around Mainland Tanzania and Tanzania Zanzibar. The study design used descriptive mixed research design where both qualitative and quantitative data were used. Simple random sampling procedure was used to get respondents. Data were collected by using questionnaires, interviews and documentary review. The study results showed that insufficient number of police officers, poor selection of gender desk officers, gender and children desk officers performed other police duties and lack of budget to operate gender desk programs for building offices were among the challenging of gender desk. It is recommended that police force should have special funds for gender and children’s desks that will go towards building new offices, undertake training of officers and provide means of transport as well as required modern equipment.
Query-focused abstractive summarization using sequence-to-sequence and transformer models

Query Focused Summarization (QFS) summarizes a long document with respect to a given input query. Creating a query-focused abstractive summary by using a neural network model is a difficult task which is yet to be fully solved. In our thesis, we propose two neural network models for the query-focused abstractive summarization task. We propose a model based on the sequence-to-sequence architecture with a pointer-generator mechanism. Furthermore, we also use the transformer architecture to design a model for the abstractive summarization. Afterward, we train both our models with the Debatepedia dataset so that the model can learn to summarize a long document with respect to a query. We evaluate the output of our models against the human-created reference summary. Our transformer model outperforms our sequence-to-sequence model in all ROUGE scores.
Fieldnotes for Amateurs

In this article we develop the idea of ethnography as a practice of desire lines. Lines of desire are pedestrian footpaths that are at once amateurish and playful, and that deviate from the grids and schemes of urban planners. We argue that ethnography has always been so at the same time as also being highly professionalized. The article explores these tensions between desire lines and professionalization as they became evident to us during a funded, international multi-modal ethno- graphic study with children—a study, we argue, that rendered us child- like. We conclude that being childlike and ‘out of line’ is an appropriate and necessary response for knowledge creation at a time of heightened professionalization in the academy.
Hubbly Bubbly: The Use of a Waterpipe as a Gateway to Other Substance Misuse

ABSTRACT In recent years there has been a widespread trend amongst university students to smoke tobacco using a hubbly bubbly, also known as water pipe or hookah pipe smoking. This study sought to establish if the smoking of hubbly bubbly was linked to experimentation with other drugs among students. Using a mixed methods exploratory research design, data were gathered from 50 questionnaires and 10 interviews with students who smoked hubbly bubbly. Data were analyzed using descriptive statistics and thematic analysis. The results of the study showed that smoking hubbly bubbly can indeed act as a gateway to more illicit drug use, which has implications for substance abuse prevention programmes.
Organizational Culture and Employees’ Performance: A Case Study of Independent General Directorate of Kochies (Nomads) in Afghanistan

The aim of the study is to examine the positive relationship between organizational culture and employees’ performance. The study further assessed the impact of five facets of organizational culture on employees’ job performance. The study used an adapted questionnaire for the purpose of data collection. All the staff of the Independent General Directorate of Kochies (IGDK) at the central office was taken as the sample. The result of the Pearson correlation revealed a positive relationship between organizational culture and employees’ job performance. The result of regression analysis revealed that the four facets of organizational culture namely managing change, achieving goals, coordinating teamwork and cultural strength positively and significantly contributed towards employees’ performance whereas the fifth facet clients’ orientation does not contribute towards employee performance. As a majority of the available literature on the topic in hand was carried out in the developed countries, therefore, this research tried to assess it in the context of developing countries like Afghanistan.
Validation of Microphysical Snow Models Using In Situ, Multifrequency, and Dual‐Polarization Radar Measurements in Finland

As complex forward models for snow have become common in radar‐based retrievals, there is a demand to validate these models in different environments. In this study, we perform a qualitative, general validation for nine different snow models that have been published and are available to users. The chosen models span a variety of different snow types, such as aggregates, rimed aggregates, melted aggregates, graupel, and single crystals, mainly because these particles are commonly observed in the Finnish climate. Fitted power law formulas for mass, fall velocity, aspect ratio, and area ratio are compared between the models and 5‐year winter measurements in the Hyytiälä forestry field station in Finland. We also compare the backscattering properties of the models to triple‐frequency dual‐polarization radar measurements during the Biogenic Aerosols Effects on Clouds and Climate campaign in 2014. We find that the denser models, regardless of the exact shapes, fit the in situ measurements best due to the prevalence of rime in the falling snow. However, when comparing also to the triple‐frequency radar measurements at X, Ka, and W bands, and the linear depolarization ratio at Ka band, the physical snow models fit overall better than the empirical ones.
Um Protótipo para Experimentos de Eficiência Energética em Nuvem Openstack

Nuvem computacionais baseadas em infra-estrutura como serviço permitem que recursos computacionais sejam alocados sob demanda de forma flexível para atender a necessidades específicas. Desta forma, um datacenter, hospedando diversos nós para prover a nuvem, pode ter ociosidade de recursos com nós subutilizados consumindo energia elétrica desnecessariamente. Este trabalho propõe a implementação de uma ferramenta que auxilia o gerenciamento energético de hosts de uma nuvem implementada na plataforma Openstack -- uma das mais utilizadas para nuvens IaaS--, permitindo desligar hosts subutilizados, ou ativá-los em caso de aumento de demanda. Esta solução pode ser utilizada em experimentos de Eficiência Energética, permitindo a análise por medição de diferentes políticas e métodos.
Perceptions of dental care use and nonuse among older adults

PERCEPTIONS OF DENTAL CARE USE AND NONUSE AMONG OLDER ADULTS By Jennifer Marie Ingle Older adults visit their dentists at the lowest rate of any age group. Regular dental visits appear to peak in mid-life and then decline dramatically by age 65. This qualitative study sought to understand the barriers, facilitators, and misconceptions that affect the utilization of dental health services among older adults. The results of this study, which involved 12 senior center participants, found distinct misconceptions, barriers, and facilitators to accessing dental health care. Misconceptions were especially prevalent among participants with total tooth loss, but also included participants whose outlook toward dental care use was misguided. Barriers to dental care included costs of dental care, as well as ineffective office procedures to manage appointments. On the other hand, some dental office procedures were found to be helpful and would be considered facilitators to dental care. Other facilitators were “lay consultants” who assist participants in accessing dental services, as well as dental providers whose educational efforts are consistent with the needs of the patients. Implications highlight potential interventions to create better access to dental care for older adults. PERCEPTIONS OF DENTAL CARE USE AND NONUSE AMONG OLDER ADULTS
Long-Term Services & Supports Feasibility Policy Note Assistive Technology: Tools for Care

This policy note considers the use of assistive technology in alleviating functional restraints due to persistent physical limitations. Put in terms of long-term care, assistive technology is a means of addressing the inability to regularly perform Activities of Daily Living (ADL). Use of assistive devices by care-receivers may allow for greater personal autonomy and lessen the burden on care-givers. Generally, the effect of assistive technology is to mitigate, not to cure. Assistive technologies are tools for alleviating deficits in functionality, but will not wholly eliminate functionality issues nor take the place of formal, human-given care (Agree et al. 2005; Anderson and Wiener 2013).
A Pipeline Pattern Detection Technique in Polly

The polyhedral model has repeatedly shown how it facilitates various loop transformations, including loop parallelization, loop tiling, and software pipelining. However, parallelism is almost exclusively exploited on a per-loop basis without much work on detecting cross-loop parallelization opportunities. While many problems can be scheduled such that loop dimensions are dependence-free, the resulting loop parallelism does not necessarily maximize concurrent execution, especially not for unbalanced problems. In this work, we introduce a polyhedral-model-based analysis and scheduling algorithm that exposes and utilizes cross-loop parallelization through tasking. This work exploits pipeline patterns between iterations in different loop nests, and it is well suited to handle imbalanced iterations. Our LLVM/Polly-based prototype performs schedule modifications and code generation targeting a minimal, language agnostic tasking layer. We present results using an implementation of this API with the OpenMP task construct. For different computation patterns, we achieved speed-ups of up to 3.5 × on a quad-core processor while LLVM/Polly alone fails to exploit the parallelism.
Sustainability in Marketing through Customer Relationship Management in a Telecommunication Company

The idea of sustainable development links business, environmental and social objectives into one integrated effort aiming to meet a common goal. Due to the influence of current developments in customer behaviour companies revise their business strategies towards more sustainably oriented ways of production, business practices, resource efficiency, waste disposal, building partnerships, communication effectiveness etc. Market with telecommunication services is affected by technology development. Growing demands of customers result in re-evaluation of marketing routine. The main purpose of the research is to identify the change in customers’ approaches and satisfaction with offered products, enterprise processes, and business strategy as a result of implementing Customer Relationship Management in 2014 and subsequently in 2018 with the dependence on socio-demographic characteristics. Customers’ opinions were investigated using a questionnaire. Respondents were selected by direct sampling with contingent valuation. Sample set consisted of 3,282 respondents. Following the results, the fact that there are changes in approaches of customers in investigated areas in terms of gender and age as a result of implementing the Customer Relationship Management can be stated. The customers’ satisfaction with provided services improved. In order to serve the new and constantly evolving needs of the growing number of customers who care about social and environmental issues, the companies are required to permanently monitor their performance on the market and incorporate customer feedback as in input for evaluation of their internal processes. In terms of marketing, positive changes in approach, satisfaction with the quality of provided services and reduced service time were observed. In terms of business strategy, the changes in connection strategy, the effect of customer-driven strategy and services provided by call centres abroad are perceived in positive way. Keywords: sustainability, economical sustainability, marketing, Customer Relationship Management, telecommunication company.
ADSTS: Automatic Distributed Storage Tuning System Using Deep Reinforcement Learning

Modern distributed storage systems with the immense number of configurations, unpredictable workloads and difficult performance evaluation pose higher requirements to parameter tuning. Providing an automatic parameter tuning solution for distributed storage systems is in demand. Lots of researches have attempted to build automatic tuning systems based on deep reinforcement learning (RL). However, they have several limitations in the face of these requirements, including lack of parameter spaces processing, less advanced RL models and time-consuming and unstable training process. In this paper, we present and evaluate the ADSTS, which is an automatic distributed storage tuning system based on deep reinforcement learning. A general preprocessing guideline is first proposed to generate standardized tunable parameter domain. Thereinto, Recursive Stratified Sampling without the nonincremental nature is designed to sample huge parameter spaces and Lasso regression is adopted to identify important parameters. Besides, the twin-delayed deep deterministic policy gradient method is utilized to find the optimal values of tunable parameters. Finally, Multi-processing Training and Workload-directed Model Fine-tuning are adopted to accelerate the model convergence. ADSTS is implemented on Park and is used in the real-world system Ceph. The evaluation results show that ADSTS can recommend near-optimal configurations and improve system performance by 1.5 × ∼2.5 × with acceptable overheads.
Protocol evolved for the management of red cell alloimmunization

Alloimmunization is a detrimental effect of transfusion therapy which makes availability of compatible blood difficult due to increased incidence of development of alloantibody and autoantibody, which can lead to mild-to- fatal adverse reactions. This case report illustrates the effective resolution of a case with multiple alloantibodies using advanced immuno-haematological workup with rare antisera. This report also re-emphasizes the need for universal antibody screening and identification for both donors and patients as part of pre-transfusion testing. The assessment of need for transfusion helped in deriving an effective plan of action for supportive care to the patient against the fear of hemolytic reaction. The provision of right and compatible (antigen negative) blood helped in management of patient during chemotherapy. This case emphasizes the indispensable need of devising and maintaining a Rare Blood Donor Register in developing nations. The Rare blood donor registry will help revolutionize the current transfusion practices, and will provide better means of managing critical care patients with single/ multiple antibodies.
Analyzing Performance and Power-Efficiency Variations among NVIDIA GPUs

Understanding the variations in performance and power-efficiency of compute nodes is important for enhancing these factors in modern supercomputing systems. Previous studies have focused on variations in CPUs and DRAMs, but there has been little attention on GPUs. This is despite many current supercomputing systems employing GPUs (which consume a significant fraction of the power of such systems) as power-efficient accelerators for HPC applications. This paper describes the first thorough evaluation of performance and power-efficiency variations in GPUs. Specifically, we execute 48 CUDA kernels on 856 devices selected from three generations of NVIDIA GPUs (P100, V100, and A100), and analyze the impact of differences in both the CUDA kernels and GPU generation on performance and power-efficiency. Our analysis shows that there are non-negligible variations in both performance and power-efficiency, and that these variations are strongly affected by both the kernels that are running and the GPU generation.
Assessment of Psychometric Properties of Behavioral Activation System (BAS) and Behavioral Inhibition Systems (BIS) Scale Associated with Impulsivity and Anxiety

Background : Despite the efforts undertaken to measure the Reinforcement Sensitivity Theory, The main difficulties of this theory is not good psychometric scale. This study was performed to evaluate the psychometric properties of behavioral activation and behavioral inhibition systems’ scale in nonclinical groups. Methods : The study population includes Urmia and Kharazmi universities, among which 368 and 472 participants were selected randomly. For determining the psychometric properties of behavioral activation and behavioral inhibition systems’ scale, exploratory and confirmatory factor analyses were used. Then reliability of this scale were measured through the Cronbach's alpha coefficient, retest, and splitting, as well as criterion validity was examined with positive and negative affect scale sensitivity to punishment and reward scale. Results : Exploratory factor analysis revealed four factors. Also fit indictors in confirmatory factor analysis supported four-factor model. Alpha coefficients, retest and splitting showed satisfactory internal consistency, and patterns of correlation coefficients between subscales of Persian version of behavioral activation and behavioral inhibition systems with positive and negative affect scale and sensitivity to punishment and reward scale showed good criterion validity for this scale. Conclusion : The findings of the present study was similar to original culture, therefore the Persian version of behavioral activation and behavioral inhibition systems’ scale is a good tool for assessment characteristics consistent with BAS and BIS system and their subscales.