Miracle-dz/UniFAR-FTUs huggingface dataset:
New Markers of Disease Progression in Myelofibrosis

Simple Summary Disease progression and prognosis in PMF are usually associated with worsening of anemia, increase of circulating blasts, and, more recently, with the presence, in addition to the “classical” driver mutations, of JAK2, MPL, and CALR genes, as well as of cytogenetic and molecular abnormalities that have been incorporated into new genetically based prognostic scoring systems. We have recently focused our attention on new biological markers of the disease, namely sIL-2Rα, eNAMPT, and CXCR4 expression on circulating CD34+ cells and CCL2 and VEGF-A polymorphisms, which have turned out to be associated with disease evolution and patient survival. Here, we discuss the role that recently described biological markers of the disease play in PMF progression and prognosis. Abstract Primary myelofibrosis (PMF) is a myeloproliferative neoplasm due to the clonal proliferation of a hematopoietic stem cell. The vast majority of patients harbor a somatic gain of function mutation either of JAK2 or MPL or CALR genes in their hematopoietic cells, resulting in the activation of the JAK/STAT pathway. Patients display variable clinical and laboratoristic features, including anemia, thrombocytopenia, splenomegaly, thrombotic complications, systemic symptoms, and curtailed survival due to infections, thrombo-hemorrhagic events, or progression to leukemic transformation. New drugs have been developed in the last decade for the treatment of PMF-associated symptoms; however, the only curative option is currently represented by allogeneic hematopoietic cell transplantation, which can only be offered to a small percentage of patients. Disease prognosis is based at diagnosis on the classical International Prognostic Scoring System (IPSS) and Dynamic-IPSS (during disease course), which comprehend clinical parameters; recently, new prognostic scoring systems, including genetic and molecular parameters, have been proposed as meaningful tools for a better patient stratification. Moreover, new biological markers predicting clinical evolution and patient survival have been associated with the disease. This review summarizes basic concepts of PMF pathogenesis, clinics, and therapy, focusing on classical prognostic scoring systems and new biological markers of the disease.
Automatic labeling of vulnerable road users in multi-sensor data

A growing interest in technologies for autonomous driving emphasizes the demand for safe and reliable perception systems in various driving conditions. The current state-of-the-art perception solutions rely on data-driven machine learning approaches, and require large amounts of annotated data to train accurate models. In this study we have identified limitations in the existing radar-based traffic datasets, and propose a richer, annotated raw radar dataset. The proposed solution is a semi-automatic data labeling tool, which generates an initial set of candidate annotations using state-of-the-art automatic object recognition algorithms, and requires only minimal manual intervention. In the first qualitative evaluation ever for automotive radar datasets we measure the quality of automatically computed labels under various light conditions, occlusion, behavior and modeling bias based on a multitude of tracking metrics. We determined the specific cases where automatic labeling is sufficient and where a human annotator needs to inspect and manually correct errors made by the algorithms.
Reducing Cross-talk Between Two Patch Antennas Using Integrated Electric Metamaterials

In this paper, we present to reducing cross-talk between two adjacent patch antennas operating at different frequencies using electric metamaterials (EMM). In response to incident electromagnetic (EM) waves, the EMM behaves strong resonance, resulting in a negative effective permittivity. Due to the negative permittivity, the electric field lines of one patch antenna are blocked from the other patch antenna operating at higher frequencies. Therefore, the interference onto the higher-frequency antenna can be reduced. To verify our design, a prototype was designed, fabricated and measured. The measured results demonstrate that isolation property is improved more than 5dB by utilizing the EMM even though the distance between the cross-talk antennas is just about 0.051 λ. The mechanism presents an alternative method of antenna isolation enhancement.
Fast Chirp Frequency-Modulated Continuous-Wave Reflectometer for Monitoring Fast Varying Discontinuities on Transmission Lines

A portable fast chirp frequency-modulated continuous-wave (FMCW) reflectometer is presented to locate and monitor fast varying discontinuities or faults on transmission lines. This frequency-domain reflectometry (FDR) approach exploits and adapts the advantages of the closely related and frequently employed FMCW radar principle to transmission line reflectometry and overcomes the limitations of commonly used time-domain reflectometry (TDR) methods. The signal generation is based on direct digital synthesis (DDS) and frequency multiplication in order to exploit the advantages of DDS technology, e.g., fast and agile sweep time, and to overcome the drawbacks of analog signal sources related to nonlinearities, temperature sensitivity, or phase noise. By this means, the presented reflectometer provides highly linear, broadband, and fast swept chirp pulses with a duration on the order of microseconds with an initial frequency in the lower UHF-band and a bandwidth of 5.2 GHz. The system concept, its hardware realization, and performance specifications are introduced. The first laboratory test results for static transmission lines and a dynamic measurement setup are presented. The results demonstrate the effectiveness, versatility, and fine ranging capabilities on the order of 2 cm of this approach.
Chronic Inflammatory Demyelinating Polyneuropathy in Patients With Crohn’s Disease on Infliximab Therapy

Crohn’s disease (CD) is a chronic inflammatory disorder of the gastrointestinal tract that is frequently accompanied by systemic complications including peripheral neuropathies. Anti-tumor necrosis factor-alpha agents such as infliximab are an established treatment for immune-mediated diseases. However, they have been associated with adverse effects, including local reactions, infections, congestive heart failure, malignancies, and, rarely, they can cause neurological adverse effects on the central nervous system, as well as peripheral nervous system demyelination. Here, we report the case of an 80-year-old man with CD on infliximab therapy who presented with progressive weakness and numbness. A neurological examination and a nerve conduction study suggested chronic inflammatory demyelinating polyneuropathy (CIDP). The patient was started on oral corticosteroids and experienced transient improvement of his symptoms at the end of this course. Thus, CIDP could be one of the extraintestinal presentations of CD.
Self‐Assembly Behavior of an Oligothiophene‐Based Conjugated Liquid Crystal and Its Implication for Ionic Conductivity Characteristics

In this work, a joint experimental and computational study on the synthesis, self‐assembly, and ionic conduction characteristics of a new conjugated liquid crystal quaterthiophene/poly(ethylene oxide) (PEO4) consisting of terminal tetraethyleneglycol monomethyl ether groups on both ends of a quaterthiophene core is performed. In agreement with molecular dynamic simulations, temperature‐dependent grazing‐incidence wide angle X‐ray scattering and X‐ray diffraction indicate that the molecule spontaneously forms a smectic phase at ambient temperature as characterized both in bulk and thin film configurations. Significantly, this smectic phase is maintained upon blending with bis(trifluoro‐methanesulfonyl)imide as ion source at a concentration ratio up to r = [Li+]/[EO] = 0.05. Nanosegregation between oligothiophene and PEO moieties and π–π stacking of thiophene rings lead to the formation of efficient 2D pathways for ion transport, resulting in thin‐film in‐plane ionic conductivity as high as 5.2 × 10−4 S cm−1 at 70 °C and r = 0.05 as measured by electrochemical impedance spectroscopy. Upon heating the samples above a transition temperature around 95 °C, an isotropic phase forms associated with a pronounced drop in ionic conductivity. Upon cooling, partial and local reordering of the conducting smectic domains leads to an ionic conductivity decrease compared to the as‐cast state.
Analisa Sentimen Data Text Preprocessing Pada Data Mining Dengan Menggunakan Machine Learning

Teks merupakan data perhari yang sangat mudah dihasilkan di zaman media sosial ini. Dengan banyaknya data teks yang tersedia di internet, data mining seperti analisa sentimen dapat dilakukan untuk kebutuhan strategis. Namun untuk melakukan data preprocessing pada teks masih mendapatkan tantangan tersendiri. Seperti perlakuan stopwords, stemming atau normalisasi dapat dilakukan dalam tahap preprocessing ini yang tentunya akan mempengaruhi akurasi dari hasil data mining tersebut. Oleh karena itu penelitian ini dilakukan untuk melihat pengaruh data preprocessing pada teks terhadap akurasi model data mining analisa sentimen dengan machine learning. Classifier yang digunakan adalah Naïve Bayes untuk pengklasifikasian sentiment ulasan akan positif atau negatif. Dan dataset teks yang digunakan adalah 50.000 ulasan di Internet Movie Database (IMDB) yang dibagi menjadi 25.000 untuk training set dan 25.000 untuk testing set. Di masing-masing itu, terdapat 12.500 ulasan positif dan ulasan negatif. Dengan dataset tersebut, terdapat tiga perlakuan berbeda yaitu; Baseline dimana dataset dibiarkan original tidak dilakukan preprocessing apa-apa, Stopwords dimana kata-kata yang berulang yang dianggap sebagai kata penghubung atau klausal di dataset akan dihapus dan menyisakan kalimat intinya saja, dan Stemming dimana dataset teks akan dinormalisasi dan dipotong untuk mendapatkan akar kalimatnya saja. Ketiga perlakuan itu masing-masing diimplemetasikan di model machine learning untuk analisa sentimen. Ulasan baru juga dibuat untuk menguji hasil model dari ketiga perlakuan dataset berbeda tersebut. Tentunya hasil yang berbeda juga didapatkan dari masing-masing ketiga dataset tersebut. Hal ini membuktikan bahwa data preprocessing berpengaruh dengan hasil akurasi dari model data mining yang dilakukan. Dalam penelitian ini, dataset dengan perlakuan Baseline menjadi yang paling tinggi akurasinya
natural Language Processing in Radiology : A Systematic Review 1

Radiology: Volume 279: Number 2—May 2016 n radiology.rsna. org 329 1 From the Departments of Radiology (E.P., L.M.M.B., M.G.M.H.) and Medical Informatics (J.A.K.), Erasmus Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands. Received December 19, 2014; revision requested January 16, 2015; final revision received March 31; accepted April 13; final version accepted April 24; final review December 14. Supported by the Open Technology Programme of Technology Foundation STW. Address correspondence to E.P. (e-mail: e.pons@erasmusmc.nl).
Practical and Intrinsic Predictability of Wave‐Convection Coupled Bands Over Southern China

The practical and intrinsic predictability of wave‐convection coupled bands that occurred near the south coast of China on January 30, 2018 lasting nearly 10 hr are investigated through convection‐permitting ensembles and relevant sensitivity experiments. Although almost all 20‐member ensembles can capture the wavelike pattern of convective bands, their wavelength and period vary among the ensembles. The GOOD and POOR runs are further conducted and initialized using the composite of initial conditions from good and poor members selected based on the performance of the simulated wave characteristics. Both the GOOD and POOR runs exhibit wave ducting structures for gravity waves, but the GOOD run tends to have higher precipitable water over the land, which results in a more evident wave pattern of convective bands on land in the GOOD run. Their differences in precipitable water are mainly attributed to the differences in the initial conditions of humidity and temperature at low‐middle levels. The practical predictability depends on the correct initial state in terms of thermodynamics, and to a lesser degree on physical parameterizations. To further explore their intrinsic predictability, a series of sensitivity experiments were performed with the linear weighted initial conditions from the GOOD and POOR runs. The pattern of wave‐convection coupled bands is generally predictable (forecast lead time <∼12 hr) but their phase (the exact location of each band) has an intrinsic predictability barrier even with minute initial perturbations due to the rapid small‐scale error growth associated with gravity waves and moist convection.
lipping; grade 2, definite osteophyte formation and possible narrowing of the joint space; grade 3, moderate osteophyte formation,

T�� ������� ����� ����� �� ����������� ��� ������� T�� ������� ����� ����� �� ����������� ��� ������� sion and clinical significance of miR‑519d‑3p in patients with post‑traumatic osteoarthritis (PTOA). The levels of miR‑519d‑3p in the synovium and synovial fluid (SF) of all subjects were detected by reverse transcription‑quantitative polymerase chain reaction. The results of the present study demonstrated that the levels of miR‑519d‑3p in the synovium and SF of patients with PTOA were significantly lower, but that the VEGF content was significantly higher, compared with that of control group. Dual‑luciferase reporter and Western blot assays demonstrated that VEGF was a target gene of miR‑519d‑3p. Furthermore, miR‑519d‑3p inhibitor‑induced cell apoptosis, and cell cycle arrest could be partially reversed by silencing VEGF. Additionally, the level of miR‑519d‑3p in the synovium and SF of patients with PTOA was negatively correlated with the level of VEGF. ROC analysis demonstrated that miR‑519d‑3p levels in the synovium and SF could effectively differentiate patients with PTOA from healthy controls, with areas under the ROC curve of 0.928 and 0.896, respectively. In conclusion, reduction of miR‑519d‑3p in the synovium and SF resulted in the upregu� lation of VEGF ii) all patients had at least one injured knee joint (left or right). The Kellgren‑Lawrence (KL) scale (grades 0‑4) was used to determine the severity: grade 0, no radiographic features of OA are present; grade 1, possible narrowing the joint and osteophytic
Towards Data-Driven GRU based ETA Prediction Approach for Vessels on both Inland Natural and Artificial Waterways

Predicting a vessel Estimated Time of Arrival (ETA) while traveling on waterways can be a challenging endeavor in an Intelligent Transportation System (ITS). Moreover, predicting accurate ETAs of a vessel on inland waterways plays a vital role in the inland ports to enhance efficiency and automation, logistics and supply chain process, reduce costs, and improve port users satisfaction. In this paper, using Gradient Boosting Decision Trees (GBDT), Multi-Layer Perceptron Neural Network (MLP), and Gated Recurrent Unit Neural Network (GRU) algorithms trained on past inland waterway AIS data to predict ETAs. These algorithms can deal a large number of AIS data generated by individual vessel trips in inland natural and artificial waterways. In this work, the ability to predict accurate ETA using GBDT, MLP, and GRU are compared and evaluated using historical test data of both inland natural and artificial waterways. GRU provides the best prediction accuracy, with the Root Mean Square Error (RMSE) of 8.50 minutes and Mean Absolute Error (MAE) of 5.92 minutes. Furthermore, it is shown that the GRU model performs better in artificial waterways than natural waterways. The model shows the prediction error decreases as the distance of the waterway increases.
PARP1 Regulates Cellular Processes Mediated by Exosomal miRNAs in Dental Pulp Stem Cells

: Non-coding RNAs including microRNAs (miRNAs) derived from extracellular exosomes are considered as bio-markers for multiple intracellular communication pathways. Meanwhile, poly ADP-ribosylation (PARylation) catalyzed by poly (ADP-ribose) polymerase 1 (PARP1) is related to various intracellular processes. The comprehensive idea of cell-cell signaling phenomena mediated by PARP1-related exosomes remains unsolved, although individual molecules are considered to provoke disease pathogenesis and progression under aberrant regulation. In the present study, we knocked down the PARP1 gene in dental pulp stem cells (DPSCs) by gene targeting using the CRISPR-Cas9 system to determine the functions of exosomal miRNAs regulated by PARP1. The exosomes produced by PARP1 -knockdown DPSCs were harvested and the miRNAs contained within these exosomes were comprehensively analyzed by next-generation sequencing. From the results, significantly altered miRNAs were picked up among the detected miRNAs. Gene ontology enrichment analyses were performed on these miRNAs to predict their cellular functions. Most of the up-regulated miRNAs after PARP1 knockdown were identified as cell proliferation-related functional non-coding RNAs, and were indicated to affect cellular processes reg ulating cellular senescence and differentiation. Therefore, the present findings suggest that PARP1 in DPSCs regulates cel lular processes such as cell proliferation through intercellular communication mediated by exosomal
Sacred Spaces

A growing interest in spirituality among psychologists, social workers, and health professionals has created new opportunities for collaboration between religion and psychology. This collaboration challenges pastoral counselors to identify what is distinctive about their identities and practices. The purpose of this paper is to explore the dangers of theological naïveté and elaborate ways in which pastoral counselors are theologically accountable for using first, second, and third orders of religious language, and for identifying the covert comparisons--theological, universal, and phenomenological---they make between their religious worlds and those of their clients.
MRS-Tex: A Magnetically Responsive Soft Tactile Device for Texture Display

Tactile devices provide an intuitive way for texture display, which allows users to perceive the detailed surface properties of virtual or remote objects. For existing tactile devices that create actual topographical transformations, it remains challenging to render surface textures with high spatial resolution due to the limitation of the size of actuators. To address this challenge, a magnetically responsive soft actuator with a diameter of 1 mm is proposed. Integrating the high-density soft actuator array and a soft membrane bracket, we develop a magnetically responsive soft tactile device (named MRS-Tex) for texture display. When a magnetic field is applied, the magnetic units will sink to form pits, and the soft membrane bracket resists the finger pressure so that users can perceive the rendered surface texture. Thanks to the proposed sunken solution, MRS-Tex is capable of rendering surface textures with millimeter-level resolution (1.5 mm) while providing a sufficient upward holding force. Moreover, we conduct quantitative experiments and two user studies to evaluate the performance of MRS-Tex. Experimental results show that MRS-Tex can generate pits with a depth of more than 0.20 mm, which is sufficient for rendering perceivable surface textures. The average discrimination accuracy of user study can reach up to 82% for both six basic texture patterns and four complex texture patterns.
Analysing the relationship between tourism development and sustainability by looking at the impact on the environment. A study on the European Union countries

The relationship between environment and tourism is complex and based on interdependence. Tourism can have both a negative and a positive environmental impact. The aim of this paper is to analyse the relationship between tourism development and environmental sustainability. The results show that tourism development is one of the causes of the deterioration of the environmental resources on which we depend. As tourism becomes more important and a higher number of people are travelling over borders, tourism has a growing environmental impact. However, tourism also has the potential to create beneficial effects on the environment by contributing to environmental protection and conservation.
Deep Reinforcement Learning Based Caching Placement and User Association for Dynamic Cellular Networks

In cache-enabling cellular networks, we investigate the caching placement and content delivery. To cope with the time-varying content popularity and user location in practical scenarios, we formulate a long-term joint dynamic optimization problem of caching placement and user association for minimizing the content delivery delay. We decompose the optimization problem into two sub-problems, the user association sub-problem in short time-scale and the caching placement in long timescale. Specifically, we propose a low complexity belief propagation based user association algorithm in the short time-scale. Then we develop a deep deterministic policy gradient based caching placement algorithm in the long time-scale. Finally, we propose a joint user association and caching placement algorithm to obtain a sub-optimal solution for the proposed problem. We demonstrate the convergence and performance of the proposed algorithm by simulation results. Simulation results show that compared with the benchmark algorithms, the proposed algorithm reduces the long-term content delivery delay in dynamic networks effectively.
Adventure Tourism : A Study Of Tunku

Adventure tourism is one of the main travel activities in the world. For instance, adventure tourism is among the primary contributors to the economy in Sabah, which is undertaken by most travellers who visit the state. This study was conducted to identify the perceptions of the local Sabahan visitors regarding adventure tourism activities at Tunku Abdul Rahman Park. Other than identifying the services and activities offered at Tunku Abdul Rahman Park, this study also seeks to examine how adventure tourism activities impact the environment of the islands. A 300 set of self-administrated questionnaires were distributed to the local visitors of Tunku Abdul Rahman Park islands (Manukan, Mamutik, Sapi, and Gaya). It was found that the majority of the local visitors indeed know about adventure tourism activities and they were satisfied with the services and activities offered at Tunku Abdul Rahman Park. While adventure tourism activities are deemed unharmful to the environment as they are believed to benefit the economy, it remains imperative that the infrastructure on the islands be improved. This study will benefit policymakers and tourism operators in Malaysia, especially in Sabah with insightful findings for the Sabah Parks management and Sabah Tourism Board in undertaking promotional ideas that pique the interests of potential tourists to visit the islands whilst sustaining the long-term environment of the islands.