Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnosis and Subclassification of Acute Lymphoblastic Leukemia

Acute lymphoblastic leukemia (ALL) is a disseminated malignancy of B- or T-lymphoblasts which imposes a rapid and accurate diagnostic process to support an optimal risk-oriented therapy and thus increase the curability rate. The need for a precise diagnostic algorithm is underlined by the awareness that both ALL therapy and related success rates may vary greatly between ALL subsets, from standard chemotherapy in patients with standard-risk ALL, to allotransplantation (SCT) and targeted therapy in high-risk patients and cases expressing suitable biological targets, respectively. This review summarizes how best to identify ALL and the most relevant ALL subsets.
Competence in lexical boosters and nativeness in academic writing of English: The possible relation

Boosters are an important metadiscourse device for writers because it creates an emphatic impression in the reader even if many non-native writers of English refrain from using it. However, the competence of metadiscourse devices such as boosters is crucial in having native-fluency in academic writing. Therefore, this avoidance of using boosters may spawn foreignness in non-native writers' academic texts. The present study has four-fold aims to accomplish: (1) whether there is a statistically significant difference between native and non-native writers of English in terms of the number of boosters and lexical diversity of boosters; (2) whether there is a correlation between a writer's competence of boosters and native-fluency in academic writing; (3) to suggest pedagogical implications for writers regarding the use of boosters; and (4) to create a list of boosters that may be used by writers in their prospective studies. Accordingly, the present study investigated 200 articles written in English by Anglophone and non-Anglophone writers. The results provided partly statistically significant differences. Another significant result which may be a reference point for further research is that Anglophone writers are prone to writing their academic texts with a higher lexical variety when compared to non-native writers.
Development and Deployment of ICT DIY Standards in Support of Internet of Things: A Qualitative Approach

The advent and wide deployment of open-source hardware, open-source software and 3D printing enabled people to make things instead of purchasing or acquiring complete products. The authors defined such activities as "ICT DIY" with the hopes of spreading and disseminating DIY culture, that will, in turn, further popularize the ICT-based maker ecosystem. In this sense, the authors have developed a number of ICT DIY standards since 2014 to provide guidance to makers especially non-professionals. We have also and had open discussions with international experts to share best practices and raise awareness on ICT DIY in ITU-T. In this paper, the empirical impact of ICT DIY standards towards the actual industry in South Korea is studied and analyzed. The analysis is followed by the discussion of the relationship between ICT DIY and IoT, and the general requirements for how ICT DIY can act as a facilitator to realize the hyper-connected society. The authors concluded by providing implications of the development of ICT DIY and its future impacts.
Broad-Complex acts downstream of Met in juvenile hormone signaling to coordinate primitive holometabolan metamorphosis

Metamorphosis of holometabolous insects, an elaborate change of form between larval, pupal and adult stages, offers an ideal system to study the regulation of morphogenetic processes by hormonal signals. Metamorphosis involves growth and differentiation, tissue remodeling and death, all of which are orchestrated by the morphogenesis-promoting ecdysteroids and the antagonistically acting juvenile hormone (JH), whose presence precludes the metamorphic changes. How target tissues interpret this combinatorial effect of the two hormonal cues is poorly understood, mainly because JH does not prevent larval-pupal transformation in the derived Drosophila model, and because the JH receptor is unknown. We have recently used the red flour beetle Tribolium castaneum to show that JH controls entry to metamorphosis via its putative receptor Methoprene-tolerant (Met). Here, we demonstrate that Met mediates JH effects on the expression of the ecdysteroid-response gene Broad-Complex (BR-C). Using RNAi and a classical mutant, we show that Tribolium BR-C is necessary for differentiation of pupal characters. Furthermore, heterochronic combinations of retarded and accelerated phenotypes caused by impaired BR-C function suggest that besides specifying the pupal fate, BR-C operates as a temporal coordinator of hormonally regulated morphogenetic events across epidermal tissues. Similar results were also obtained when using the lacewing Chrysopa perla (Neuroptera), a member of another holometabolous group with a primitive type of metamorphosis. The tissue coordination role of BR-C may therefore be a part of the Holometabola groundplan.
The role of Signal Processing in Meeting Cyber-Security and Privacy Challenges

We are in an era where computing and communication technologies are an integral part of our lives. Our environment is becoming increasingly more cyberphysical, with sensors and actuators exchanging information through a variety of networks. We access information from the cloud, share information with each other on social networks, and synthesize new information all while we are on-the-go. Storage technologies have also evolved significantly, with data density and access speeds projected to continue to increase dramatically over the next decade. The confluence of these technologies is leading to huge volumes of data flowing across our networks, to and from computers where they will be analyzed, and deposited into vast databases for later retrieval. The huge quantities of data poses new societal risks that are just now starting to manifest. Users post information on social networks unaware of the privacy risks they face; companies submit information to the cloud for processing to reduce their own computing costs yet unaware that potentially sensitive information might be leaked; sensor networks and global positioning systems monitor the state of our roads and vehicles yet reveal where we are driving to/from and even why. Although some of these systems might be protected using conventional cryptographic protocols, many of them cannot and many of the risks exist outside the realm of protection offered by a cipher suite. For example, once information has been decrypted and placed into a database in plaintext it loses the confidentiality provided by the secure socket that connected the originating client to the database. Now, not only does the owner of that database know the exact value of that data, but it can examine the entirety of data it holds in order to glean information beyond the scope of the information provided. To protect data from unforeseen security and privacy breaches, we should revisit information security and privacy from a fundamental point of view and search for techniques that complement traditional cryptographic services. Although conventional cryptographic protocols and services can and must be a part of the solution to ensuring data security and privacy, such techniques do not reflect the full spectrum of techniques available to protecting information. In particular, information is associated with a particular
The brain injury biomarker VLP-1 is increased in the cerebrospinal fluid of Alzheimer disease patients.

BACKGROUND Definitive diagnosis of Alzheimer disease (AD) can be made only by histopathological examination of brain tissue, prompting the search for premortem disease biomarkers. We sought to determine if the novel brain injury biomarker, visinin-like protein 1 (VLP-1), is altered in the CSF of AD patients compared with controls, and to compare its values to the other well-studied CSF biomarkers 42-amino acid amyloid-beta peptide (Abeta(1-42)), total Tau (tTau), and hyperphosphorylated Tau (pTau). METHODS Using ELISA, we measured concentrations of Abeta(1-42), tTau, pTau, and VLP-1 in CSF samples from 33 AD patients and 24 controls. We compared the diagnostic performance of these biomarkers using ROC curves. RESULTS CSF VLP-1 concentrations were significantly higher in AD patients [median (interquartile range) 365 (166) ng/L] compared with controls [244 (142.5) ng/L]. Although the diagnostic performance of VLP-1 alone was comparable to that of Abeta, tTau, or pTau alone, the combination of the 4 biomarkers demonstrated better performance than each individually. VLP-1 concentrations were higher in AD subjects with APOE epsilon4/epsilon4 genotype [599 (240) ng/L] compared with epsilon3/epsilon4 [376 (127) ng/L] and epsilon3/epsilon3 [280 (115.5) ng/L] genotypes. Furthermore, VLP-1 values demonstrated a high degree of correlation with pTau (r = 0.809) and tTau (r = 0.635) but not Abeta(1-42) (r = -0.233). VLP-1 was the only biomarker that correlated with MMSE score (r = -0.384, P = 0.030). CONCLUSIONS These results suggest that neuronal injury markers such as VLP-1 may have utility as biomarkers for AD.
Photodynamic therapy influence on anti-cancer immunity

The system of partial differential equations describing tumor-immune dynamics with angiogenesis taken into account is presented. For spatially homogeneous case, the steady state analysis of the model is carried out. The effects of single photodynamic impact are numerically simulated. In the case of strong immune response we found that the photodynamic therapy (PDT) gives rise to the substantial shrinkage of tumor size which is accompanied by the increase of IL-2 concentration. On the contrary, the photodynamic stimulation of weak immune response is shown to be insufficient to reduce the tumor. These findings indicate the important role of anti-cancer immune response in the long-term tumor control after PDT.
Visual Analysis of Customer Data in Commercial Banks

Visual data analysis involves using modern computer graphics and display tools to explore data. The use of such visual research methods has become increasingly widespread throughout the social sciences. This paper focuses on customer data in commercial banks, and aims to use visual representations and interaction techniques to provide a new vision of customer relationship management. Two key visualization techniques -- parallel coordinates and treemaps -- have been used in this process; they show monotonous customer data in a more vivid way and allow more valuable information to be extracted.
Face recognition using original and symmetrical face images

The biggest bottleneck of face recognition is the insufficient training samples of face images. In reality, face possess varying nature of expressions, illumination, poses, etc. There is a constrained of insufficient training samples due to number of reasons which reduces the accuracy of face recognition techniques. A method to generate various symmetrical face images by exploiting the axis-symmetrical structure of the face is proposed. This method is simple and computationally efficient. The new generated symmetrical samples i.e. Left symmetrical face, Right symmetrical face and Mirror symmetrical face, is basically different from the original face but reflects different appearance of the original face. Classification is performed on all these samples using Principal Component Analysis (PCA) algorithm. Score fusion technique is used for ultimate classification result. Experiments shows that proposed method improves the accuracy of the recognition. It might improve other face recognition methods too.
Anti-N-Methyl-D-Aspartate Receptor Encephalitis: A New Challenging Entity for Consultation-Liaison Psychiatrist

Background Anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is a relatively newly identified autoimmune neuropsychiatric disorder that predominantly affects children and young adults. Although psychiatric symptoms are highly prevalent and frequently severe, it has mainly been reported in neurological, but not psychiatric, literature. Understanding this form of encephalitis, its quick diagnosis and which treatment to provide are of utmost importance for consultation-liaison (C-L) psychiatrists. The aim of this paper was to describe a case of anti-NMDAR encephalitis with severe psychiatric manifestations, who showed impressive recovery but required intensive involvement of the C-L psychiatry team. We emphasise the behavioural aspects, psychiatric symptoms and challenges faced by the CL consultant across the different phases of the treatment. Methods We report the different treatment phases for a young woman with anti-NMDAR encephalitis who developed severe neuropsychiatric symptoms, with a focus on the role and challenges faced by the C-L psychiatrist. The literature is reviewed for each of these challenges. Results This case illustrated that even extremely severely affected patients may show impressive recovery, but require long lasting psychiatric care. C-L psychiatrists are faced with numerous challenges where only little literature is available. Conclusion C-L psychiatrists play a pivotal role throughout the multidisciplinary care of patients with anti-NMDAR encephalitis and should be informed about this entity.
Cognitive Emotion Regulation

Recent developments in the study of cognitive emotion regulation illustrate how functional imaging is extending behavioral analyses. Imaging studies have contributed to the development of a multilevel model of emotion regulation that describes the interactions between neural systems implicated in emotion generation and those implicated in emotional control. In this article, we review imaging studies of one type of cognitive emotion regulation: reappraisal. We show how imaging studies have contributed to the construction of this model, illustrate the interplay of psychological theory and neuroscience data in its development, and describe how this model can be used as the basis for future basic and translational research.
Hardware Keys Exchange Protocol in Wireless Sensor Networks

 Abstract— Security in wireless sensor networks is an emerging field of research. Networked sensors have tremendous potential to provide very attractive, low-cost solutions to a variety of real-world problems. As sensors nodes edge closer towards wire-spread deployment, security issues become a crucial concern. However, sensors nodes have inherently constrained characteristics; those incur unique constraints to wireless sensor networks, such as low-computational capabilities, small memory, and limited energy resources. An appropriate cryptographic keys exchange techniques is, therefore, the linchpin of good security in wireless sensor networks. In this paper, we describe the design of cryptographic public-key exchange protocol that allow key agreement between sensor nodes implemented in an FPGA-type embedded architecture based on modified Diffie-Hellman protocol adapted to the specific context of wireless sensor networks.
Phospholipidosis in Neurons Caused by Posaconazole, without Evidence for Functional Neurologic Effects

The azole antifungal drug posaconazole caused phospholipidosis in neurons of the central nervous system, dorsal root ganglia of the spinal cord, and myenteric plexus in chronic toxicity studies in dogs. The time of onset, light and electron microscopic features, neurologic and electrophysiologic effects on the central and peripheral nervous systems, and potential for regression were investigated in a series of studies with a duration of up to one year. Nuclei of the medulla oblongata were the prominently affected areas of the brain. Neurons contained cytoplasmic vacuoles with concentrically whorled plasma membrane-like material (i.e., multilamellar bodies) morphologically identical to that commonly caused in other tissues by cationic amphiphilic drugs. Some axons in the brain and spinal cord were swollen and contained granular eosinophilic, electron-dense lysosomes. There were no features suggesting degeneration or necrosis of neurons or any associated elements of nervous tissue. The earliest and most consistent onset was in neurons of dorsal root ganglia. The observed neural phospholipidosis did not result in any alteration in the amplitude or latency of the auditory, visual, or somatosensory evoked potentials. The histopathologic changes did not progress or regress within the three-month postdose period. The results indicate that phospholipidosis can be induced in central and peripheral neurons of dogs by administration of posaconazole, but this change is not associated with functional effects in the systems evaluated.
PLANAR TREES, FREE NONASSOCIATIVE ALGEBRAS, INVARIANTS, AND ELLIPTIC INTEGRALS

We consider absolutely free algebras with (maybe in- finitely) many multilinear operations. Such multioperator algebras were introduced by Kurosh in 1960. Multioperator algebras satisfy the Nielsen-Schreier property and subalgebras of free algebras are also free. Free multioperator algebras are described in terms of labeled reduced planar rooted trees. This allows to apply combi- natorial techniques to study their Hilbert series and the asymp- totics of their coefficients. Then, over a field of characteristic 0, we investigate the subalgebras of invariants under the action of a linear group, their sets of free generators and their Hilbert series. It has turned out that, except in the trivial cases, the algebra of invariants is never finitely generated. In important partial cases the Hilbert series of the algebras of invariants and the generating functions of their sets of free generators are expressed in terms of elliptic integrals.
Increasing Intelligence in Inter-Vehicle Communications to Reduce Traffic Congestions: Experiments in Urban and Highway Environments

Intelligent Transportation Systems (ITS) rely on Inter-Vehicle Communication (IVC) to streamline the operation of vehicles by managing vehicle traffic, assisting drivers with safety and sharing information, as well as providing appropriate services for passengers. Traffic congestion is an urban mobility problem, which causes stress to drivers and economic losses. In this context, this work proposes a solution for the detection, dissemination and control of congested roads based on inter-vehicle communication, called INCIDEnT. The main goal of the proposed solution is to reduce the average trip time, CO emissions and fuel consumption by allowing motorists to avoid congested roads. The simulation results show that our proposed solution leads to short delays and a low overhead. Moreover, it is efficient with regard to the coverage of the event and the distance to which the information can be propagated. The findings of the investigation show that the proposed solution leads to (i) high hit rate in the classification of the level of congestion, (ii) a reduction in average trip time, (iii) a reduction in fuel consumption, and (iv) reduced CO emissions
Speech interaction in a multimodal tool for handwritten text transcription

STATE is a multimodal tool for document processing and text transcription. Its graphical front-end can be easily connected to different text recognition back-ends. New features and improvements are presented in this work: the interactive correction of one word in the transcribed line has been improved to reestimate the entire transcription line using the user feedback and speech input has been integrated in the multimodal interface enabling the user to also utter the word to be corrected, giving the user the possibility to use the interface according to her preferences or the task at hand. Thus, at the current version of STATE, the user can type, write on the screen with a stylus, or utter the incorrectly recognized word, and then, the system uses the user feedback in any of the proposed modalities to reestimate the transcribed line so as to hopefully correct other errors which could be caused by the mistaken word the user has corrected.
On the impact of layer-2 on node degree distribution

The Internet topology data collected through traceroute exploration has been extensively studied in the past. In particular, a remarkable property of the Internet, the power-law shape of node degree distribution, drew the attention of the research community. Several studies have since questioned this property. In this paper, based on a large dataset collected using mrinfo, we show that the node degree distribution is strongly impacted by the presence of layer-2 (L2) networks, such as switches. L2 devices interconnect a large number of routers, themselves being also involved in multiple L2 interconnections. Such a situation induces nodes with very high degree when analyzing the layer-3 (L3) graph with traceroute probing. Considering the physical design of a network, our analysis provides a lower bound on the bias generated by using only an L3 view. We also provide a model that can be a first step towards L2 aware topology generation.
Fast mean square convergence of consensus algorithms in WSNs with random topologies

The average consensus in wireless sensor networks is achieved under assumptions of symmetric or balanced topology at every time instant. However, communication and/or node failures, as well as node mobility or changes in the environment make the topology vary in time, and instantaneous symmetry of the links is not guaranteed unless an acknowledgment protocol or an equivalent approach is implemented. In this paper, we evaluate the convergence in the mean square sense of a well-known consensus algorithm assuming a random topology and asymmetric communication links. A closed form expression for the mean square error of the state is derived as well as the optimum choice of parameters to guarantee fastest convergence of the mean square error.