Miracle-dz/UniFAR-FTUs huggingface dataset:
Achievement of disease control with dasatinib after CAR T-cell therapy for relapsed Philadelphia chromosome-positive acute lymphoblastic leukemia : a case report and literature review

Historically, treatment outcomes for patients with Philadelphia-positive chromosome (Ph+) acute lymphoblastic leukemia (ALL) have been extremely poor. The introduction of tyrosine kinase inhibitor (TKI) and chimeric antigen receptor-engineered T (CAR T)-cell therapy mark crucial advancements in the treatment of Ph+ALL. In this case, we investigated a 42-year-old woman who was diagnosed with Ph+ALL and experienced multiple relapses. She was first treated with imatinib combined infusion chemotherapy and achieved complete remission (CR). She stayed disease free for 13 months until later diagnosed with central nervous system lymphoma (CNSL). Subsequently, she was treated with intrathecal injection, multi-agent chemotherapy along with dasatinib at 140 mg/d. Despite her initial recovery, she experienced her second relapse at a later stage during the infusion chemotherapy. She then received CAR T-cell therapy and responded well until a third relapse occurred 10 months later. She was again administered dasatinib at 140 mg/d and ever since then, no recurrence in peripheral blood, BM or CNS was observed. We suspect that a synergistic effect between CAR T-cell therapy and TKI exists in the treatment of Ph+ALL. Furthermore, we hypothesize that dasatinib may have in some way stimulated CAR T-cells proliferation in vivo, thereby restoring their function.
Efficient Portfolio Selection in a Large Market

The Markowitz estimated mean-variance portfolio is proven to not work well in markets in which the number of assets is relatively high compared to the number of historical observations, which can be attributed to the large estimation error in the sample estimates of the expected return and covariance matrix. Chen & Yuan (2016) introduce a method that reduces the investment universe to the subspace, spanned by the leading eigenvectors of the sample covariance matrix. In this paper, it is shown that the sample mean and covariance matrix can be well used in this so-called subspace mean-variance analysis. These restricted subspace mean-variance portfolios theoretically outperform the usual unrestricted Markowitz mean-variance portfolios, even when more sophisticated, shrinkage estimators are used to estimate the mean and variance. However, empirical analysis does not support these observations. It is shown that in the real market, the subspace method does not necessarily outperform the estimated mean-variance porfolio which is why its practical application is not unchallenged.
On optimal strategies for utility maximizers in the Arbitrage Pricing Model

We consider a popular model of microeconomics with countably many assets: the Arbitrage Pricing Model. We study the problem of optimal investment under an expected utility criterion and look for conditions ensuring the existence of optimal strategies. Previous results required a certain restrictive hypothesis on the tails of asset return distributions. Using a different method, we manage to remove this hypothesis, at the price of stronger assumptions on the moments of asset returns.
IDENTIFICATION OF PARASITES AND GROSS FINDINGS IN MAGELLANIC PENGUINS IN ESPÍRITO SANTO , BRAZIL (

Penguins are marine birds extremely well adapted to life in the sea but it is not rare to find lifeless individuals along the coast and deaths are caused by factors relating both to human influence on the environment and to specific diseases The aim of the present study was to identify parasite species found in Magellanic penguins on the coast of Espírito Santo, Brazil and describe the main gross findings. Five birds presented ectoparasites. All the birds presented nematodes. Four individuals presented trematodes. All the penguins presented a body state score of 2. Two of the individuals examined presented rupture of the esophagus caused by a foreign object and one individual presented a foreign object in the stomach. In the respiratory system, the lesions found were lung congestion, fibrin in the air sacs, caseous content inside the trachea, lung edema and pneumonia. Magellanic penguins on the coast of the state of Espírito Santo are susceptible to parasitoses. Helminths of the species Contracaecum pelagicum and Cardiocephaloides physaliswere identified, along with the ectoparasite Austrogoniodes bifasciatus. The main macroscopic lesions found were located in the respiratory system and gastrointestinal tract.
Peer-Facilitated Collaborative Disease Management using Mobile Telephony

Collaborative Disease Management (CDM) refers to interventions that improve outcomes of disease that have been developed on the basis of social learning and selfregulation theories. This research investigates the existing w ork in peer support, one form of CDM, and proposes an extension to the peer support remote model to incorporate interactive tec hnologies such as mobile phones. We discuss the research prob lems relating to the design of a mobile health application called Mobile DSMS, a prototype developed based a framework developed a s part of the PhD research. We identify existing user-centere d approaches in the field of mobile health, describe how these m ethods were applied to the design and development of a prototyp e known as Mobile DSMS and we explain how the outcomes of an forthcoming field study are expected to advance the area of CDM and HCI using mobile devices. Keywords-collaborative disease management, human-computer interaction, remote peer-support
Phytochemicals, Antioxidants, and Cholinesterase Inhibitory Profiles of Elatostema Papillosum Leaves: An Alternative Approach for Management of Alzheimer's Disease

Alzheimer’s disease (AD) is a devastating neurodegenerative disorder of the brain characterized by memory loss and, impaired judgment and language use. As AD incidence increases with age, AD has become a large socioeconomic burden that will only continue growing as populations age. Natural compounds that possess polyphenolic (phenolics and flavonoids) content and antioxidant property have the capacity to reduce the progression and symptoms of neurodegenerative diseases, including AD. In this mini-review, we emphasize the pathomechanisms of AD, including oxidative stress and modulatory roles of natural antioxidants in preventing AD. We discuss the antioxidant, phytochemical, and anticholinesterase properties of the plant Elatostema papillosum, which are relevant to the management of AD.
Seasonal dynamics of soil respiration and N mineralization in chronically warmed and fertilized soils

Although numerous studies have examined the individual effects of increased temperatures and N deposition on soil biogeochemical cycling, few have considered how these disturbances interact to impact soil C and N dynamics. Likewise, many have not assessed season-specific responses to warming and N inputs despite seasonal variability in soil processes. We studied interactions among season, warming, and N additions on soil respiration and N mineralization at the Soil Warming × Nitrogen Addition Study at the Harvard Forest. Of particular interest were wintertime fluxes of C and N typically excluded from investigations of soils and global change. Soils were warmed to 5°C above ambient, and N was applied at a rate of 5 g m−2 y−1. Soil respiration and N mineralization were sampled over two years between 2007 and 2009 and showed strong seasonal patterns that mirrored changes in soil temperature. Winter fluxes of C and N contributed between 2 and 17% to the total annual flux. Net N mineralization increased in response to the experimental manipulations across all seasons, and was 8% higher in fertilized plots and 83% higher in warmed plots over the duration of the study. Soil respiration showed a more season-specific response. Nitrogen additions enhanced soil respiration by 14%, but this increase was significant only in summer and fall. Likewise, warming increased soil respiration by 44% over the whole study period, but the effect of warming was most pronounced in spring and fall. The only interaction between warming × N additions took place in autumn, when N availability likely diminished the positive effect of warming on soil respiration. Our results suggest that winter measurements of C and N are necessary to accurately describe winter biogeochemical processes. In addition, season-specific responses to the experimental treatments suggest that some components of the belowground community may be more susceptible to warming and N additions than others. Seasonal changes in the abiotic environment may have also interacted with the experimental manipulations to evoke biogeochemical responses at certain times of year.
THE PREVALENCE OF POTENTIAL DRUG- DRUG INTERACTIONS IN THE THERAPY OF ROMANIAN COMMUNITY PHARMACY'S

Drug-drug interactions (DDIs) are a concern for patients and providers, as multiple medication use is becoming more common to manage complex diseases. However, a high prevalence of potential drug-drug interactions (pDDIs) can lead to a higher probability to develop an adverse drug reaction (ADR) or suboptimal therapeutic effects. The objective of our study was to measure the frequency, nature and severity of the potential DDIs in prescriptions from a Romanian community pharmacy. We analysed 308 prescriptions (all reimbursed prescriptions from one month) of 243 patients for the detection of the pDDIs. Our study showed that potential drug-drug interactions are highly prevalent (34.42% of prescriptions with at least one DDI) in patients’ therapy and the modernization of prescribing and dispensing medicines is necessary. Rezumat In terapia modernă polimedicația este o necesitate in cazul pacienților cu mai multe afecțiuni, dar aceasta poate determina o incidență crescută a interacțiunilor medicamentoase și a reacțiilor adverse la medicamente sau reducerea efectului terapeutic ale acestora. Obiectivul studiului de față a fost determinarea frecvenței, naturii și severității interacțiunilor medicamentoase potențiale identificate in prescripțiile din farmacia comunitară din România. Au fost analizate 308 rețete compensate provenite de la 243 de pacienți dintr-o farmacie, pe parcursul unei luni. Rezultatele studiului arată o prevalență ridicată a interacțiunilor medicamentoase potențiale in terapia pacienților, subliniindu-se astfel nevoia existenței sistemelor computerizate de semnalare a interacțiunilor medicamentoase, atât la nivelul prescrierii de către medic, cât și la nivelul eliberării medicamentului de către farmacist.
Approximating Option Prices

In this thesis we consider the method of Kristensen and Mele (2011, J. of Financial Economics) to approximate European call option prices from the constant elasticity of variance (CEV) model, for which no closed-form solution is available. The method provides a closed-form approximation that allows for direct calibration of the CEV model on option price data. Through a simulation study we find a good performance of the approximation method, both in terms of accuracy and parameter estimation. We proceed by testing the model on European call options on the S&P 500 index. The CEV model is calibrated through its closed-form approximation on option price data, using a non-linear least squares method that minimizes the sum of squared errors between the cross-sectional option price and the corresponding option price from the approximation, on a daily basis. The calibrated closed-form approximation is then used to get in-sample and out-of-sample fits of the daily option prices. When these fits are compared with those from two benchmark models, namely the Heston model and the Practitioners Black-Scholes model, the CEV model is outperformed by both. We conclude that the poor option price performance of the CEV model is due to the inaccuracy of the applied approximation.
Pancasting: forecasting epidemics from provisional data

Infectious diseases remain among the top contributors to human illness and death worldwide [Murray et al., 2012, World Health Organization]. While some infectious disease activity appears in consistent, regular patterns within a population, many diseases produce less predictable epidemic waves of illness. Uncertainty and surprises in the timing, intensity, and other characteristics of these epidemics stymies planning and response of public health officials, health care providers, and the general public. Accurate forecasts of this information with well-calibrated descriptions of their uncertainty can assist stakeholders in tailoring countermeasures, such as vaccination campaigns, staff scheduling, and resource allocation, to the situation at hand, which in turn could translate to reductions in the impact of a disease. Domain-driven epidemiological models of disease prevalence can be difficult to fit to observed data while incorporating enough details and flexibility to explain the data well. Meanwhile, more general statistical approaches can also be applied, but traditional modeling frameworks seem ill-suited for irregular bursts of disease activity, and focus on producing accurate single-number estimates of future observations rather than well-calibrated measures of uncertainty on more complicated functions of the data. The first part of this work develops variants of simple statistical approaches to address these issues, and a way to incorporate features from certain domain-driven models. Epidemiological surveillance systems commonly incorporate a data revision process, whereby each measurement may be updated multiple times to improve accuracy as additional reports and test results are received and data is cleaned. The second part of this work discusses how this process impacts proper forecast evaluation and visualization. Additionally, it extends the models above to “backcast” how existing measurements will be revised, which in turn can be used to improve forecast accuracy. These models are then expanded further to include auxiliary data from other surveillance systems. The preceding sections describe several prediction algorithms, and many more are available in existing literature and deployed in operational systems. The final part of this work demonstrates one method to combine output from multiple such prediction systems with consideration of the domain, which on average tends to match or outperform its best individual component.
Tourist Perceptions of Climate Change: A Study of International Tourists in Zanzibar

A study was conducted in Zanzibar, Tanzania, in order to understand tourist perceptions of climate change, the importance of climate for travel decisions, and the likely consequences of ongoing climate change for travel decisions. The results show that climatic characteristics of destinations are important, though not the only factor shaping travel decisions. Under a scenario of climate change, certain climate variables, such as more rain, storms, and higher humidity are also likely to negatively influence travel decisions, rather than higher temperatures alone, which are not necessarily perceived as negative. Regarding the contribution of travel to climate change, the study reveals that leisure tourists in Zanzibar are largely unaware of their impact on the natural environment, while the analysis of stated travel behaviour shows that they frequently travel by air. Overall, the results indicate that travel flows might change in more complex ways than currently assumed, and that a small share of high-intensity air travellers is responsible for a considerable environmental impact in terms of climate change.
WIRELESS POWER TRANSMISSION IN URSI

In URSI, Inter-Commission Working Group on Solar Power Satellites (SPS) was established in 2002 and the URSI Board has been working on writing and reviewing an URSI White Paper on SPS, which was published on June 2007, because the SPS is one of huge application of radio science. One of important application of the radio science on the SPS is a wireless power transmission (WPT) via microwave (microwave power transmission ; MPT). At first, the WPT walked along with the SPS. But now we have some kinds of the WPT and its commercial applications. One of important application of the WPT is an energy harvesting. The other is MPT for the SPS. Some important researches are done as URSI activities in Japan. It is high efficiency rectenna development at low power and at wide band frequency. It is also high efficiency and low cost phased array for the MPT and the SPS. Some of them were published in URSI conference. In this paper, I will show mainly present status of the WPT in Japan and in the world and will also show a relationship between the WPT and the URSI activities.
Koşullu Çekişmeli ve Evrişimli Sinir Ağ Tabanlı Otomatik Karaciğer Bölütleme

Automatic segmentation of medical images is among most demanded works in the medical information field since it saves time of the experts in the field and avoids human error factors. In this work, a method based on Conditional Adversarial Networks and Fully Convolutional Networks is proposed for the automatic segmentation of the liver MRIs. The proposed method, without any post-processing, is achieved the second place in the SIU Liver Segmentation Challenge 2018, data of which is provided by Dokuz Eylül University. In this paper, some improvements for the post-processing step are also proposed and it is shown that with these additions, the method outperforms other baseline methods.
Mapping Coral Reef Habitats in Southeast Florida Using a Combined Technique Approach

Abstract To create maps of nearshore benthic habitats of Broward County, Florida, from 0 to 35 m depth, we combined laser bathymetry, acoustic ground discrimination, subbottom profiling, and aerial photography data in a geographic information system (GIS). A mosaic of interpolated, sun-shaded, laser bathymetry data served as the foundation upon which acoustic ground discrimination, limited subbottom profiling and aerial photography, and groundtruthing data aided in interpretation of habitats. Mapping criteria similar to NOAA biogeographic Caribbean mapping were used to allow for a comparable output. Expert-driven visual interpretation outlined geomorphological features at a scale of 1 : 6000 with a minimum mapping unit of 1 acre. Acoustic data were then used to differentiate areas of similar geomorphology by their acoustic diversity into areas of high and low scatter, which could be equated to rugosity created by either the substratum or benthic fauna. Of the approximately 112 km2 mapped, 56.62 km2 were coral reef and colonized hard bottom (50.42%), 54.78 km2 were unconsolidated sediments (46.80%), and 0.43 km2 were other categories (2.78%). Three linear reef complexes exist. The outermost linear reef has a mature windward reef morphology including a drowned spur and groove system, which was absent on the other two reef lines. The acoustic ground discrimination and groundtruthing showed different benthic habitats on the outer vs. middle and inner reefs. Higher acoustic scatter could be related to taller benthos and more rugose substratum. A considerable amount of colonized pavement (nearshore hard grounds) was found inshore. The map of Broward County yielded a high overall accuracy of 89.6%, only slightly less than the photo-interpreted NOAA Caribbean maps (overall accuracy of 91.1%). User and producer accuracies within each category were also similar. The combined technique approach was effective and accurate, and similar methodology can be used in other areas where photo interpretation is not feasible because of turbidity or depth limitations.
ULTRA-FAST OLEOPHOBIC – HYDROPHILIC SWITCHING SURFACES FOR ANTI-FOGGING , SELF-CLEANING , AND OIL – WATER SEPARATION

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Design of Optimal Layout of Active Sensing Diagnostic Network for Achieving Highest Damage Detection Capability in Structures

An investigation is performed to develop a methodology for optimizing the layout of piezoelectric transducers based actuator-sensor network that will maximize the detection capability of a given SHM system for a hot spot in aerospace structures. The method utilizes a simulation tool for wave propagation as a basis to integrate preselected diagnostic algorithm with an optimization tool to maximize the probability of detection (POD) for a given damage size in a structure. The proposed method minimizes the number of actuators and sensors while maximizing POD through the selection of optimal location for each sensor and actuator. Fatigue cracks in metallic structures were studied in this investigation. This paper will highlight the method as well as some results for metallic structures.
Behavior-Driven Development in Malware Analysis

A daily task of malware analysts is the extraction of behaviors from malicious binaries. Such behaviors include domain generation algorithms, cryptographic algorithms or deinstallation routines. Ideally, this tedious task should be automated. So far scientific solutions have not gotten beyond proof-of-concepts. Malware analysts continue to reimplement behaviors of interest manually. However, often times they merely translate the malicious binary assembler code to a higher-level language. This yields to poorly readable and undocumented code whose correctness is not ensured. Furthermore, the current process that malware analysts are following leads to a suboptimal focusing since they deal with too much binary code at once. In this paper, we aim at overcoming these shortcomings by improving the malware analysis process regarding the reimplementation of malicious behaviors. We achieve this by integrating Behavior-Driven Development in the malware analysis process. We explain in detail how the integration of Behavior-Driven Development into the malware analysis process can be done. In a case study on the highly obfuscated malware Nymaim, we show the feasibility of our approach.