Miracle-dz/UniFAR-FTUs huggingface dataset:
Chronic thrombo-embolic pulmonary hypertension (CTEPH): Case presentation and guidance on management

Chronic thrombo-embolic pulmonary hypertension (CTEPH) is defined as an elevation of the mean pulmonary arterial pressure above 25 mmHg that persists six months after an episode of pulmonary embolism (PE). It occurs an about 2 4% in survivors from PE. The clinical picture, natural history and prognosis may vary from one patient to another. Venous thromboembolism (VTE), including both deep vein thrombosis (DVT) and PE is the third most common cardiovascular illness after acute coronary syndrome and stroke. A 29 year old male patient presented with gradually progressive shortness of breath and fatigue for several months. He had one episode of loss of consciousness. Clinical examination revealed picture of pulmonary hypertension. Further laboratory and imaging confirmed the presence of recent pulmonary embolism and markedly elevated pulmonary arterial pressure, consistent with the diagnosis of CTEPH. In this article, we discussed this clinical case, the diagnostic pathway and the management plan that was followed with the patient till his last follow-up, focusing on guidance on management in the same context. We believe that addressing VTE as a possible regional public health problem should take a multi-dimensional approach targeting the epidemiology of the disease with implementation of cost-effective preventive and therapeutic programs.
The VLT-FLAMES Tarantula Survey

Previous analyses of the spectra of OB-type stars in the Magellanic Clouds have identified targets with low projected rotational velocities and relatively high nitrogen abundances; the evolutionary status of these objects remains unclear. The VLT-FLAMES Tarantula Survey obtained spectroscopy for over 800 early-type stars in 30 Doradus of which 434 stars were classified as B-type. We have estimated atmospheric parameters and nitrogen abundances using TLUSTY model atmospheres for 54 B-type targets that appear to be single, have projected rotational velocities, ve sin i ≤ 80 km s−1 and were not classified as supergiants. In addition, nitrogen abundances for 34 similar stars observed in a previous FLAMES survey of the Large Magellanic Cloud have been re-evaluated. For both samples, approximately 75–80% of the targets have nitrogen enhancements of less than 0.3 dex, consistent with them having experienced only small amounts of mixing. However, stars with low projected rotational velocities, ve sini ≤ 40 km s−1 and significant nitrogen enrichments are found in both our samples and simulations imply that these cannot all be rapidly rotating objects observed near pole-on. For example, adopting an enhancement threshold of 0.6 dex, we observed five and four stars in our VFTS and previous FLAMES survey samples, yet stellar evolution models with rotation predict only 1.25 ± 1.11 and 0.26 ± 0.51 based on our sample sizes and random stellar viewing inclinations. The excess of such objects is estimated to be 20–30% of all stars with current rotational velocities of less than 40 km s−1. This would correspond to ~2–4% of the total non-supergiant single B-type sample. Given the relatively large nitrogen enhancement adopted, these estimates constitute lower limits for stars that appear inconsistent with current grids of stellar evolutionary models. Including targets with smaller nitrogen enhancements of greater than 0.2 dex implies larger percentages of targets that are inconsistent with current evolutionary models, viz. ~70% of the stars with rotational velocities less than 40 km s−1 and ~6–8% of the total single stellar population. We consider possible explanations of which the most promising would appear to be breaking due to magnetic fields or stellar mergers with subsequent magnetic braking.
UNI ScholarWorks UNI ScholarWorks Adult children of alcoholics: Review of the literature Adult children of alcoholics: Review of the literature

Abstract Many adults who experience the trauma of growing up in an alcoholic family system develop a condition of similar symptoms and behaviors, called the Adult Children of Alcoholics Syndrome (Kritzberg, 1985). It is estimated that over half of the twenty-eight to thirty-four million children of alcoholics are adults (Black, 1981). Cermak ( 1985), Bowden and Gravitz (1984) noted that although children of alcoholics compromise one of the largest identifiable groups in America, recognition of the issues these individuals face has been very recent.
AIS Electronic Library (AISeL) AIS Electronic Library (AISeL)

When considering individuals with dietary limitations, automatic food recognition, and assessment are paramount. Smartphone-oriented applications are convenient and handy when dish recognition and the elements inside are required. Machine learning (deep learning) applied to image recognition, alongside other classification techniques (for example, bag-of-words), are possible approaches to tackle this problem. The current most promising approach to the classification problem is deep leaning, which requires high computation for training, but it is an extremely fast and computationally light classifier. Since the requirement for the classifiers to be as accurate as possible, the humans must also be considered as the classifier. This work tests and compares deep-learning methods bag-of-words applied to computer vision, and the human visual system. Results show that deep learning is better when considering a low number of food categories. However, with more food categories, the human overcomes the machine algorithms.
Discounting Discounting

ABSTRACT Policy analysts typically presume that future payoffs should be discounted relative to present ones, and that this discounting should proceed at the same rate for all goods and all periods. Closer inspection of four arguments for discounting, however, shows these practices to be problematic. Only two of those arguments provide plausible justifications for time-discounting at all; and neither of those justify a constant rate throughout all periods or for all goods. Indeed, there is an important class of ‘nontradable’ goods which can be discounted only in their own terms. The overall conclusion is that policymakers ought, logically as well as morally, to weight the interests of the future far more heavily than in ordinary discounting procedures.
A Reduction in Video Gaming Time Produced a Decrease in Brain Activity

This study examines whether a decrease in brain development is observable after players have reduced their video gaming time over a period of 1 year. Both video gaming experts and non-experts were recruited, whose resting-state functional MRI (fMRI) data were collected at the beginning and the end of the study. Immediately after the first scan, the participants were instructed to spend no more than 3 h on video gaming weekly for 1 year. The results showed decreased self-reported video gaming skills and decreased amplitude of low-frequency fluctuation (ALFF) in the experts at the end of the study, demonstrating that a reduction in video gaming time over a period of 1 year produced a decrease in brain development. The non-experts served as a control group and had no significant changes. The findings support the adaptive effect of video gaming experience on brain and cognitive development.
Droughts can reduce the nitrogen retention capacity of catchments

Abstract. In 2018–2019, Central Europe experienced an unprecedented 2-year drought with severe impacts on society and ecosystems. In this study, we analyzed the impact of this drought on water quality by comparing long-term (1997–2017) nitrate export with 2018–2019 export in a heterogeneous mesoscale catchment. We combined data-driven analysis with process-based modeling to analyze nitrogen retention and the underlying mechanisms in the soils and during subsurface transport. We found a drought-induced shift in concentration–discharge relationships, reflecting exceptionally low riverine nitrate concentrations during dry periods and exceptionally high concentrations during subsequent wet periods. Nitrate loads were up to 73 % higher compared to the long-term load–discharge relationship. Model simulations confirmed that this increase was driven by decreased denitrification and plant uptake and subsequent flushing of accumulated nitrogen during rewetting. Fast transit times (<2 months) during wet periods in the upstream sub-catchments enabled a fast water quality response to drought. In contrast, longer transit times downstream (>20 years) inhibited a fast response but potentially contribute to a long-term drought legacy. Overall, our study reveals that severe droughts, which are predicted to become more frequent across Europe, can reduce the nitrogen retention capacity of catchments, thereby intensifying nitrate pollution and threatening water quality.
Downlink Performance Analysis of Cell-Free Massive MIMO with Finite Fronthaul Capacity

In this work, we analyze the performance of the downlink of a cell-free massive multiple-input multiple-output (mMIMO) system considering finite capacity fronthaul links. We model the locations of the remote radio heads (RRHs) and the users as two independent binomial point processes (BPPs). Conditioned on the locations of the RRHs and users, and considering imperfect channel state information (CSI) and conjugate beamforming at the RRHs, we derive an achievable rate for a randomly selected user in the network. Further, based on the dominant RRH approach, we provide an approximate but accurate expression to analytically evaluate this rate averaged over the spatial realizations of RRH and user locations. From our analysis, we arrive at the following conclusions: (1) the achievable average system sum-rate is a strictly quasi-concave function of the number of users in the network, (2) for the same number of antennas in the system, the optimal number of antennas per RRH to maximize the average user rate as well as average system sum-rate depends on the quality of the CSI. While for a high-quality CSI a more collocated system is preferred, for low-quality CSI it is better to consider a more distributed RRH deployment.
Aeration and Shear Stress Are Critical Process Parameters for the Production of Oncolytic Measles Virus

Oncolytic Measles virus is a promising candidate for cancer treatment, but clinical studies have shown that extremely high doses (up to 1011 TCID50 per dose) are required to effect a cure. Very high titers of the virus must therefore be achieved during production to ensure an adequate supply. We have previously shown that Measles virus can be produced in Vero cells growing on a Cytodex 1 microcarrier in serum-containing medium using a stirred-tank reactor (STR). However, process optimization and further process transfer or scale up requires the identification of critical process parameters, particularly because the use of STRs increases the risk of cell damage and lower product yields due to shear stress. Using a small-scale STR (0.5 L working volume) we found that Measles virus titers are sensitive to agitator-dependent shear, with shear stress ≥0.25 N m−2 reducing the titer by more than four orders of magnitude. This effect was observed in both serum-containing and serum-free medium. At this scale, virus of titers up to 1010 TCID50 mL−1 could be achieved with an average shear stress of 0.1 N m−2. We also found that the aeration method affected the virus titer. Aeration was necessary to ensure a sufficient oxygen supply to the Vero cells, and CO2 was also needed to regulate the pH of the sodium bicarbonate buffer system. Continuous gassing with air and CO2 reduced the virus titer by four orders of magnitude compared to head-space aeration. The manufacture of oncolytic Measles virus in a STR can therefore be defined as a shear-sensitive process, but high titers can nevertheless be achieved by keeping shear stress levels below 0.25 N m−2 and by avoiding extensive gassing of the medium.
Deep Learning Enabled Dynamic Reactive Video Caching in Mobile Edge Networks

The dynamic video streaming adaption and caching has been widely adopted in the proposals of future network, fulfilling the ever-increasing demand for seamless high-definition video transmission. Generally, the mobile video is transmitted in a two-stage wireless-wired hybrid link. There are totally different features in two stages, leading to a cask effect. Fortunately, the emergence of mobile edge computing (MEC) enables an intelligent interaction between these two stages. Moreover, the emergence of deep learning provides a new way to enhance the performance of such system, with higher flexibility and intelligence. Here, we propose an Deep learning enabled dynamic reactive video caching scheme deployed in MEC server. In this scheme, the caching server improves the utilization efficiency of the backhaul while MEC-based video quality adaption is used to adapt the rate to time-varying wireless channel. Deep Q-learning is also introduced to optimize the quality of experience (QoE) of the mobile video service in an intelligent way. Based on our simulation, the proposed scheme outperforms existing schemes with higher quality and stability in mobile video service.
Distinguishing the Visual Working Memory Training and Practice Effects by the Effective Connectivity During n-back Tasks: A DCM of ERP Study

Visual working memory (WM) training and practice can result in improved task performance and increased P300 amplitude; however, only training can yield N160 enhancements. N160 amplitudes are related to the spatial attention, the detection of novelty and the inhibitory control, while P300 amplitudes are related to the selective attention. Therefore, it could be speculated that the mechanisms underlying N160 and P300 production may differ to accommodate to their functions. Based on the different N160 engagements and different functional roles of N160 and P300, we hypothesized that the effects of visual WM training and practice can be dissociated by their brain effective connectivity patterns. We compared different neural connectivity configurations for the main task-related brain activities including N160 and P300 during the visual three-back task in subjects after visual WM training (the WM group) and after repetitive task practice (the control group). The behavioral result shows significantly greater improvement in accuracy after training and suggests that visual WM training can boost the learning process of this simple task. The N160 peak amplitude increased significantly after training over the anterior and posterior brain areas but decreased after practice over the posterior areas, indicating different mechanisms for mediating the training and practice effects. In support of our hypothesis, we observed that visual WM training alters the frontal-parietal connections, which comprise the executive control network (ECN) and the dorsal attention network (DAN), whereas practice modulates the parietal-frontal connections underpinning P300 production for selective attention. It should be noted that the analytic results in this study are conditional on the plausible models being tested and the experimental settings. Studies that employ different tasks, devices and plausible models may lead to different results. Nevertheless, our findings provide a reference for distinguishing the visual WM training and practice effects by the underlying neuroplasticity.
Intestinal Parasites and the Occurrence of Zoonotic Giardia duodenalis Genotype in Captive Gibbons at Krabokkoo Wildlife Breeding Center, Thailand

Intestinal parasitic infections can have an impact on health and growth of wildlife. The current study aims were to determine the prevalence of intestinal parasites and to molecular characterize Giardia duodenalis and Cryptosporidium spp. in captive gibbons at Krabokkoo Wildlife Breeding Center, Thailand. Fifty-five gibbons, 2 agile- (Hylobates agilis), 38 lar- (Hylobates lar) and 15 pileated gibbons (Hylobates pileatus) were included in this study. Fecal samples were collected individually at Krabokkoo Wildlife Breeding Center, Chachoengsao province, eastern Thailand, in November 2013. Intestinal parasitic infections were examined by zinc sulfate centrifugation flotation and by a commercially available immunofluorescent assay (IFA) for detection of G. duodenalis and Cryptosporidium spp. Polymerase chain reaction targeting the Giardia glutamate dehydrogenase (gdh), beta- giardin (bg), triose phosphate isomerase (tpi) genes, and the Cryptosporidium small subunit-rRNA and heat-shock protein (hsp70) following by DNA sequencing were performed on the IFA positive samples. The overall prevalence of intestinal parasitic infection in gibbons at Krabokkoo Wildlife Breeding Center was 12.7% (95%CI: 5.3–24.5), Strongyloides spp. eggs or larvae were present in all positive samples. Co-infections with G. duodenalis were detected in 1.8% (95%CI: 0.1–9.7) of the samples. Based on the sequencing results of the three genes, the IFA Giardia positive isolate typed as the zoonotic genotype B. Since the data reveals the occurrence of zoonotic Giardia genotype, good hygiene management is suggested to prevent the transmission of this pathogen from gibbon to human, and vice versa.
Effect of Bacillus thuringiensis var. kurstaki and Neem on Castor Defoliators- Achaea janata (Linnaeus) and Spodoptera litura (Fabricius)

Bacillus thuringiensis var. kurstaki was as effective as monocrotophos (0.05%) in causing feeding cessation and mortality of Achaea janata (Linnaeus) on castor. However, it was ineffective against Spodoptera litura (Fabricius) larvae. Neem seed kernel extract (2%) resulted in ovipositional deterrence to S. litura .
Perceptual Image Hashing Based on Weber Local Binary Pattern and Color Angle Representation

This paper proposes an efficient scheme for generating image hashing by combining the local texture and color angle features. During the stage of texture extraction, using Weber’s Law, the difference ratios between the center pixels and their surrounding pixels are calculated and the dimensions of these values are further reduced by applying principal component analysis to the statistical histogram. In the stage of color feature extraction, the color angle of each pixel is computed before dimensional reduction and is carried out using a discrete cosine transform and a significant coefficients selection strategy. The main contribution of this paper is a novel construction for image hashing that incorporates texture and color features by using Weber local binary pattern and color angular pattern. The experimental results demonstrate the efficacy of the proposed scheme, especially for the perceptual robustness against common content-preserving manipulations, such as the JPEG compression, Gaussian low-pass filtering, and image scaling. Based on the comparisons with the state-of-the-art schemes, receiver operating characteristic curves and integrated histograms of normalized distances show the superiority of our scheme in terms of robustness and discrimination.
EFEKTIVITAS KHASIAT PENGOBATAN LUKA BAKAR SEDIAAN GEL MENGANDUNG FRAKSI EKSTRAK PEGAGAN BERDASARKAN ANALISIS HIDROKSIPROLIN DAN HISTOPATOLOGI PADA KULIT KELINCI

Abstract : The effectiveness of wound healing by gel topical formulation with three various containing Centella asiatica fraction extract has been studied. Wound Healing the wound was evaluated histopatologically by microscopy obser vation and histochemically by hydroxyprolin content on the tissues samples. The histochemical and histopatological results shown that the hydroxyprolin content and degree of regeneration of rabbit tissues samples after treatment by gel formulation with 1.5 % C. asiatica fraction extract were the highest as compared to the other gel formulation s , respectively. The goal of the study was formulation, effectiveness and safety in promoting wound healing data of gel formulation. Keywords : Wound healing, histochemically, histopatologically, Centella asiatica fraction extract Abstrak : Studi uji khasiat penyembuhan luka bakar dari formula sedian topikal bentuk gel yang mengandung fraksi ekstrak Centella asiatica (Pegagan) telah dilakukan menggunakan tiga konsentrasi fraksi ekstrak yang berbeda. Khasiat penyembuhan luka bakar telah dievaluasi secara uji histopatologi melalui pengamatan miskroskopi dan histokimia dengan mengukur kandungan hidroksiprolin dalam jaringan kulit. Hasil uji histokimia dan histopatologi masing – masing menunjukan bahwa kandungan hidroksiprolin dan derajat regenerasi pada jaringan kulit kelinci yang diobati dengan formulasi gel mengandung fraksi ekstrak C. asiatica 1,5 % adalah tertinggi dibandingkan dengan pengobatan menggunakan 2 formula lainnya. Tujuan dari penelitian ini adalah untuk mendapatkan data formulasi, efektifitas khasiat dan keamanan dari formulasi sediaan gel luka bakar. Kata Kunci : histochemically, histopatologically
Düzeltme: Göğüs hastalıkları polikliniğine başvuran hastaların inhaler kullanım becerilerinin araştırılması

i 1) Sağlık Bilimleri Üniversitesi Ümraniye Eğitim ve Araştırma Hastanesi Göğüs Hastalıkları Kliniği, Uzm.Dr., İstanbul 2) Sağlık Bilimleri Üniversitesi Haydarpaşa Sultan Abdülhamid Han Eğitim ve Araştırma Hastanesi Göğüs Hastalıkları Kliniği, Uzm.Dr., İstanbul 3) Aksaray Devlet Hastanesi, Aile Hekimliği Kliniği, Uzm.Dr., Aksaray 4) Maltepe Üniversitesi Tıp Fakültesi Hastanesi Göğüs Hastalıkları Anabilim Dalı, DoçDr. , İstanbul
An Adaptively Controlled 10-Output Reconfigurable Dual-Bus SIMO System With Group Allocator for Diversified Load Condition

Portable electronic devices require multiple supply voltages with relatively large differences in load currents, causing serious regulation, EMI, and efficiency problems when adopting a single-inductor multiple-output (SIMO) dc-dc converter. To resolve these issues, this paper presents a reconfigurable SIMO system with ten-output having two buses, one for heavy-load and one for light-load outputs. The converter maintains the load current condition so that each bus is well balanced even when the load currents are diversified by using the proposed group allocator, which properly assigns a bus for each output depending on its load current. Due to this load balancing function, regulation issues that could occur under diversified load conditions are resolved, and high efficiency is achieved over a wide load current range. The test chip was fabricated in 1P4M $0.18~\mu \text{m}$ CMOS process. The system has ten independently regulated outputs with an output voltage ripples below 25 mV, and greater than 81% efficiency is achieved across a wide load range (0–300 mA).
Intelligent Parking Management System Design from a Mobile Edge Computing (MEC) Perspective

In this paper, we propose an intelligent parking management system by using mobile edge computing (MEC). The proposed system contains vehicle detection, vehicle plate binding and information uploading three processes, which are performed by magnetic sensor edge and gateway edge. Hence, it is critical to design an efficient communication and computing allocation strategy to minimize the power consumption for the power limited device. In this work, we first map the parking management system to a mobile edge computing model and covert the offloading strategy to an optimization problem. By solving the optimization problem, the system efficiency is improved significantly. According to the results, the MEC-based optimized solution can most save 58.52% power dissipation, 99.20% transmission cost or 62.48% latency compared with the cloud computing based method.