Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-Time In-Situ Laser Ranging via Back Propagation Neural Network on FPGA

To increase the measurement rate and reduce the ranging error of real-time in-situ laser ranging in full-waveform light detection and ranging (LiDAR), a back propagation (BP) neural network-based online ranging method (BPO) implemented on FPGA is proposed. In BPO, a three-layer BP neural network model is trained and implemented on a Virtex-6 FPGA to estimate the parameters of laser pulses for ranging in real time. The training dataset is generated using the multi-pulse coherent average method combined with the B-spline interpolation method. In the implementation of BPO, the parallel-pipeline architecture is employed to accelerate the computational process. Simulations proved that BPO decreased the time consumption of a single measurement to $2.95~\mu \text{s}$ . The measurement rate was increased to 339 kHz by BPO, which was approximately as 1.2 times as the measurement rate of Gauss-Newton-based online ranging method (GNO). Experiments were conducted by an FPGA-based in-situ ranging system to evaluate the ranging error of BPO. The results revealed that the mean and standard deviation of ranging errors of BPO were 0.8 mm and 1.4 cm for a laser pulse with an SNR of 36.4 dB, respectively. For a laser pulse with an SNR of 21.8 dB, the mean and standard deviation of ranging errors of BPO were 1.7 cm and 5.5 cm, which decreased 0.8 cm and 1.7 cm from those of GNO, implying that the proposed method is capable of mapping the trailing laser pulse and reducing the ranging error caused by the trailing distortion.
Two-Stream Deep Feature-Based Froth Flotation Monitoring Using Visual Attention Clues

In froth flotation monitoring, machine-vision-based soft sensors provide stable and reliable online estimations for the concentrate grade, which is difficult to be measured online owing to technical or economic limitations. It is known that the froth surface appearance and movement characteristics of the froth layer are closely related to the froth grade and usually used as visual indicators for the concentrate grade. However, it is hard for the most used handcrafted features to fully explore patterns of froth surface behaviors from appearance and movement perspectives. Furthermore, the relevance between image features extracted from different time intervals and the concentrate grade can be different. To estimate the concentrate grade appropriately, soft sensors need to explore and exploit the different importance in image features extracted at different intervals. In the context of these issues, this study developed a deep learning-based two-stream feature extraction model to extract the froth appearance and movement features. Also, a hybrid prediction model, which contains a time-series analysis module and an attention mechanism, is proposed to build the prediction relationship between the image features and the concentrate grade. Comparison experiments using historical industry data verified the advantage of the proposed monitoring method. In addition, industrial experiments conducted in a real-world flotation plant show that the coefficient of determination achieved by this method is 0.9256, which has a 7.9% improvement compared to an existing expert system.
Protein Interaction networks and their applications to protein characterization and cancer genes prediction

La importancia de comprender los procesos biologicos ha estimulado el desarrollo de metodos para la deteccion de interacciones proteina-proteina. Esta tesis presenta PIANA (Protein Interactions And Network Analysis), un programa informatico para la integracion y el analisis de redes de interaccion proteicas. Ademas, describimos un metodo que identifica motivos de interaccion basandose en que las proteinas con parejas de interaccion comunes tienden a interaccionar con esas parejas a traves del mismo motivo de interaccion. Encontramos que las proteinas altamente conectadas (i.e., hubs) con multiples motivos tienen mayor probabilidad de ser esenciales para la viabilidad de la celula que los hubs con uno o dos motivos. Finalmente, presentamos un metodo que predice genes relacionados con cancer mediante la integracion de redes de interaccion proteicas, datos de expresion diferenciada y propiedades estructurales, funcionales y evolutivas. El valor de prediccion positiva es 71% con sensitividad del 1%, superando a otros metodos usados independientemente.
The Impact of Active Learning in a Speech-Language Pathology Swallowing and Dysphagia Course

Recommended Citation Affoo, Rebecca H. ; Bruner, Justin L. ; Dietsch, Angela M. ; Nellenbach, Ciara E. ; Jones, Theresa M. ; and Lehman, Mark E. (2020) "The Impact of Active Learning in a Speech-Language Pathology Swallowing and Dysphagia Course," Teaching and Learning in Communication Sciences & Disorders: Vol. 4 : Iss. 2 , Article 4. DOI: https://doi.org/10.30707/TLCSD4.2/POPG6689 Available at: https://ir.library. illinoisstate.edu/tlcsd/vol4/iss2/4
Geographic variation of body size in New World anurans: energy and water in a balance

The validity of Bergmann’s rule, perhaps the best known ecogeographical rule, has been questioned for ectothermic species. Here, we explore the interspecific version of the rule documenting body size gradients for anurans across the whole New World and evaluating which environmental variables best explain the observed patterns. We assembled a dataset of body sizes for 2761 anuran species of the Western Hemisphere and conducted assemblage-based and cross-species analyses that consider the spatial and phylogenetic structure in the data. In accordance with heat and water-related explanations for body size clines, we found a consistent association of median body size and potential evapotranspiration across the New World. A relevant role of water availability also emerges, suggesting the joint importance of body size for thermoregulation and hydroregulation in anurans. Anurans do not follow a simple Bergmannian pattern of increasing size towards high latitudes. Consistent with previous regional findings, our Hemisphere-wide analyses detect that the geographic variation in anuran body sizes is highly dependent on a trade-off between heat and water balance. The observed size-climate relationships possibly emerge from the interplay between thermoregulatory abilities and the benefits inherent to reduced surface-to-volume ratios in larger species, which decrease the rates of evaporative water loss and favour heat retention. Our results also show how temperature becomes important for species that are directly in contact with the substrate and water, like burrowing and terrestrial anurans, while arboreal species exhibit a body size cline linked with potential evapotranspiration.
Corn Yield Response to Nitrogen in North-Central Kansas

Summary The aim of this study was to evaluate the response of corn ( Zea mays L.) grain yield to nitrogen (N) fertilizer. During the 2019 cropping season, an N rate experiment in corn was established in Scandia, KS, evaluating five N fertilizer rates as UAN (28-0-0) under both dryland and irrigated conditions. Average yields ranged from 138 to 236 bu/a under rainfed and from 153 to 249 bu/a for irrigated conditions. Under both dryland and irrigated conditions, maximum yields were achieved with an N rate of about 161 lb/a. Total N supply was calculated as N at planting plus fertilizer, which was approximately 300 lb N/a.
Gene expression modulation by the linker of nucleoskeleton and cytoskeleton complex contributes to proteostasis

Cellular mechanisms that act in concert to maintain protein homeostasis (proteostasis) are vital for survival. Nevertheless, subsets of aggregation-prone proteins form toxic aggregates (proteotoxicity) that sometimes underlie the development of neurodegenerative diseases. Proteotoxic aggregates are often deposited in the vicinity of the nucleus, a process that is cytoskeleton-dependent. Accordingly, cytoskeletal dysfunction contributes to pathological hallmarks of various neurodegenerative diseases. Thus, we asked whether the Linker of Nucleoskeleton and Cytoskeleton (LINC) complex, which bridges these filaments across the nuclear envelope, is needed for the maintenance of proteostasis. Employing model nematodes, we discovered that knocking down LINC components impairs the ability of the worm to cope with proteotoxicity. Knocking down anc-1, which encodes a key component of the LINC complex, modulates the expression of transcription factors and E3 ubiquitin ligases, thereby changing the rates of protein ubiquitination and degradation. Our results establish a link between the LINC complex and aging-associated proteotoxicity.
Channel Estimation in Massive MIMO Systems Based on Generalized Block Adaptive Matching Pursuit Algorithm

Frequency division duplex (FDD) downlink massive multiple-input and multiple-output (MIMO) systems encounter difficulty in acquiring the sparsity and threshold parameter. As a remedy, a time-frequency block sparse channel estimation method based on compressed sensing (CS) is proposed that consists of the generalized block adaptive matching pursuit (gBAMP) algorithm. By using the time-frequency joint block sparsity of massive MIMO systems, the index sets selected in the iterative process of the algorithm are further optimized to improve the stability of the algorithm. Then, in the absence of the threshold parameter, the adaptive iterative stop condition is determined using the residual based on the Frobenius norm (F-norm), and the effectiveness of the method is proved. Simulations show that the algorithm can quickly and accurately estimate the massive MIMO channel information and outperforms its counterparts.
Effects of Different Inoculated Pathogens on Microbial Species and Abundances of Rhizosphere Soil of Tobacco

The aim of this research was to clarify the effects of different inoculated pathogens on microbial species and abundances of rhizosphere soil of tobacco. The rhizosphere soil of root-knot nematode and Phytophthora parasitica infected tobacco were collected and detected. The DNA of 16S rDNA-V4 region and ITS1 region in the rhizosphere soil of infected tobacco were sequenced through high throughput sequencing technique; the abundance and diversity of microorganisms were analyzed. In the 6S rDNA-V4 region and ITS1 region, 152815 and 61505 original sequences were detected respectively. After filtering low quality sequences, 147558 and 60109 effective sequences were obtained, which could be divided into 6871 and 796 OTUs. The diversity analysis showed that pathogen inoculation caused significant differentiation in the microbial community of rhizosphere soil. The Shannon index and Chao1 index significantly increased compared with the control group, indicating that pathogen inoculation could significantly increase microbial diversity and abundance. The research on microbial diversity of rhizosphere soil of tobacco after pathogen inoculation can provide reference for the development of remediation technology on soil ecology.
On exceptional collections of line bundles on toric deligne-mumford stacks.

OF THE DISSERTATION On Exceptional Collections of Line Bundles on Toric Deligne-Mumford Stacks By CHENGXI WANG Dissertation Director: Lev Borisov We study strong exceptional collections of line bundles on Fano toric Deligne-Mumford stacks PΣ. We prove that when the rank of Picard group is no more than two, any strong exceptional collection of line bundles generates the derived category of PΣ, as long as the number of elements in the collection equals the rank of the (Grothendieck) K-theory group of PΣ. Moreover, we consider generalized Hirzebruch surfaces Fα,n which are not Fano and have Picard rank two. We give a classification of all (strong) exceptional collections of line bundles of maximum length and show they generate the derived category, which is a generalization for the results of Hirzebruch surfaces. We show that any exceptional collections of line bundles on Fα,n can be extend to maximum length 2(α+ 1) which is the rank of K-theory. We give examples of strong exceptional collections of line bundles on Fα,n which cannot be extended to strong exceptional collections of line bundles of length 2(α+1), but can be extend to exceptional collections of line bundles of maximum length 2(α+ 1).
Psychiatric risk gene NT5C2 regulates protein translation in human neural progenitor cells

Genome-wide significant variants associated with combined risk for major psychiatric disorders on chromosome 10q24 affect the expression of the cytosolic 5’-nucleotidase II (NT5C2, cN-II) in population controls, implicating it as a psychiatric susceptibility gene. Risk alleles are associated with reduced expression of this gene in the developing and adult brain, but the resulting neurobiological risk mechanisms remain elusive. In this study, we provide further evidence for the association of NT5C2 with psychiatric disorders, and use a functional genetics approach to gain a deeper understanding of the function of this risk gene in the nervous system. NT5C2 expression was significantly reduced in the post-mortem brain of schizophrenia and bipolar disorder patients, and its protein predominately expressed in neurons within the adult brain. Using human neural progenitor cells (hNPCs), we found that NT5C2 expression peaked at the neural progenitor state, where the encoded protein was ubiquitously distributed through the cell. NT5C2 knockdown in hNPCs elicited transcriptomic changes associated with protein translation, that were accompanied by regulation of adenosine monophosphate-activated protein kinase (AMPK) signalling and ribosomal protein S6 (rpS6) activity. To identify the effect of reduced neuronal NT5C2 expression at a systems level, we knockdown its homologue, CG32549, in Drosophila melanogaster CNS. This elicited impaired climbing behaviour in the model organism. Collectively, our data implicate NT5C2 expression in risk for psychiatric disorders and in Drosophila melanogaster motility, and further suggest that risk is mediated via regulation of AMPK signalling and protein translation during early neurodevelopment.
Medical Services Contracts: Features and Ways of Improvement

Availability of law is of particular importance in the modern world, which significantly increases the demand for language simplicity and understandability of legal acts: normative, law-enforcement, contractual ones. The contract for the provision of reimbursable medical service is a vivid example of a legal text for which the value of linguistic accessibility is especially significant. The study aims to assess the linguistic and other means used in the contract for the provision of reimbursable medical services, in terms of their effectiveness in achieving the goals for which the contract is concluded. As a material for analysis, we used contracts for the provision of fee-based health-care services of a number of medical institutions in the city of Volgograd. The study allowed to conclude that entering into a contract may actually pursue one or more of the following objectives: to legally secure the medical institution from possible claims on the part of a service recipient; to inform the patient about the possible risks associated with medical intervention; to inform patients about the content of current legislation; to confirm the fact that the patient is familiarized with the internal current rules of the medical institution. The scope, content, style of presentation of the contract should be determined by the priorities in achieving its goals. From this follows the conclusion that the unification of the contract for the provision of medical services is inappropriate. The study shows that the quality of the contract for the provision of medical services a largely guaranteed by an optimal balance between the two requirements: the language availability of its content for the recipient of the services and the legal sufficiency of the provisions laid down in the contract to prevent possible conflicts between the parties. Relevant to any type of contract, these requirements are of particular importance for the analyzed agreements, taking into account the specifics of the psychological and ethical aspects of the emerging legal relationship.
CTLR@WiC-TSV: Target Sense Verification using Marked Inputs andPre-trained Models

This paper describes the CTRL participation in the Target Sense Veriﬁcation of the Words in Context challenge (WiC-TSV) at SemDeep-6. Our strategy is based on a simplistic annotation scheme of the target words to later be classiﬁed by well-known pre-trained neural models. In particular, the marker allows to include position information to help models to correctly identify the word to disambiguate. Results on the challenge show that our strategy outperforms other participants ( +11 , 4 Accuracy points) and strong baselines ( +1 , 7 Accuracy points).
A Rare Case Of Idiopathic Lymphedema

Erysipelas, cellulitis anda deep vein thrombosis should be considered in the differential diagnosis. [2] Erysipelas is differentiated from these diseases as it is marked by the presence of a more localized, sharp border and accompanying systemic infection findings. Cellulite does not have a sharp border and there is usually a predisposing condition, such as a burn. It is accompanied by fever, chills, shivering, lymphadenopathy and leukocytosis. In deep vein thrombosis, the findings develop slowly; edema is absent and may be accompanied by neurogical deficit. The major finding in lymphedema is hard edema. Meanwhile, tenderness and pain are not quite obvious.
Hunting Altitude of Eleonora's Falcon (Falco eleonorae) Over a Breeding Colony

Abstract. We investigated the flight altitude of hunting Eleonora's Falcons (Falco eleonorae) around their colony near the island of Crete (Greece). We used a broadband marine surveillance radar positioned on the coast of Crete and detected the falcons’ movements during the breeding period. The birds were monitored using a Java application that enabled us to manually track radar targets directly on the radar screen and transfer the data into a GIS environment. Thirty hours of radar monitoring between 14 September and 22 September 2017 produced 4774 records of the species (1218 over inland and 3556 over the sea). Hunting falcons flew on average at 1292 ± 11 masl (range = 17–3475, median flight altitude 1156 m), though 70% of them were tracked flying between 17 and 1750 m. The range of flight altitude recorded was greater than that previously published, and was consistent with the prey selection during the nestling-rearing period, i.e., migratory passerines. Eleonora's Falcons hunted more frequently over the sea than over the mainland and at a higher altitudes during the morning than at midday or in the afternoon. The daily flight pattern probably reflected the higher intensity of passerine migration in the early morning and late afternoon, as well as an opportunistic prey shift from birds to insects during midday when passerine migration is weak. Compared to other techniques previously used for tracking this species, namely visual observations (1970s), optical range finder (1990s), and satellite telemetry (2000s), broadband marine radar is not limited by small sample size, geolocation error, weather conditions, or poor visibility at high altitudes.
FADA: A Cloud-Fog-Edge Architecture and Ontology for Data Acquisition

Large and complex machines are the backbone of manufacturing and will remain key to industrialization for the foreseeable future as will leveraging essential technologies, such as the Internet of Things. However, efforts to make this machinery as smart as it could be are falling behind the curve. Data quality is often too low or too heterogeneous for useful analytics making maintenance troublesome. Additionally, many machines are still dumb with no uniform way to extract data or monitor their operation. In part, the success of future concepts like intelligent manufacturing, cyber physical systems, and industry 4.0 depends on solving these problems. Hence, this article presents FADA the groundwork for an ontology and 3-layer cloud-fog-edge architecture for large and complex machines that places data acquisition and IoT at the forefront. The ontology provides a flexible framework for standardizing data. The fog nodes acquire data directly from smart machines, while the edge nodes harvest data from dumb equipment through a recognition model. The fog nodes are flexible and multi-threaded to provide faster higher-performance computing power. To evaluate the proposed architecture and concepts, we implemented FADA in two factory-based testbeds: one with IoT-enabled equipment, the other with mostly dumb machines. The response times and influence rates recorded are promising and indicate that the system is highly adaptable to many different scenarios. We also conducted comparative experiments between FADA and a conventional data acquisition system to compare the occupied disk space, processing time, and data uploading time, which show that the FADA can save 2.9 TB of disk space per day, and reduce the server’s processing time by 184.8 ms per time over the conventional data acquisition system(CDAS), when 20000 fog nodes simultaneously access the server. The results show improvements by FADA in all metrics.
First report of Fusarium proliferatum causing stem and root rot on lucky bamboo (Dracaena braunii) in Iraq

Summary Lucky bamboo (Dracaena braunii) is a popular ornamental plant in Iraq. Individuals of this plant showing stem and root rot symptoms were observed during a survey conducted from November 2015 to February 2016 in several nurseries in Kerbala province, Iraq. Based on morphological characteristics and sequence analyses of the internal transcribed spacer (ITS) region of the ribosomal DNA (rDNA), the pathogen was identified as Fusarium proliferatum. This is the first report of stem and root rot caused by F. proliferatum on lucky bamboo (D. braunii) in Iraq.
A Low Phase Noise Class-C Oscillator With Improved Resonator and Robust Start-Up

This brief presents a new resonator for class-C oscillators which not only decreases the phase noise, but solves their inevitable start-up problem. The aforementioned resonator has two separate nodes that increasing inductance energy factor (IEF) in output node provides lower phase noise. By connecting a class-B active pair to the other node of the resonator, with larger equivalent impedance, start-up problem has been solved. By reaching the steady state, the auxiliary class-B active pair transistors will be switched off in order to achieve lower phase noise besides power consumption goals. The proposed oscillator, implemented in 130 nm standard CMOS technology, oscillates at the frequency of 3.4 GHz and its phase noise is about −136.8 dBc/Hz at 3 MHz offset. The power consumption and FoM are 9.5 mW and 188.1 dBc/Hz, respectively.