Miracle-dz/UniFAR-FTUs huggingface dataset:
Cepstral Analysis and Hilbert-Huang Transform for Automatic Detection of Parkinson’s Disease

Most patients with Parkinson’s Disease (PD) develop speech deficits, including reduced sonority, altered articulation, and abnormal prosody. This article presents a methodology to automatically classify patients with PD and Healthy Control (HC) subjects. In this study, the Hilbert-Huang Transform (HHT) and Mel-Frequency Cepstral Coefficients (MFCCs) were considered to model modulated phonations (changing the tone from low to high and vice versa) of the vowels /a/, /i/, and /u/. The HHT was used to extract the first two formants from audio signals with the aim of modeling the stability of the tongue while the speakers were producing modulated vowels. Kruskal-Wallis statistical tests were used to eliminate redundant and non-relevant features in order to improve classification accuracy. PD patients and HC subjects were automatically classified using a Radial Basis Support Vector Machine (RBF-SVM). The results show that the proposed approach allows an automatic discrimination between PD and HC subjects with accuracies of up to 75 % for women and 73 % for men.
Observable Persistent Effects of Habitat Management Efforts in the Ozark Highlands After 10 Years

I investigated the lasting impacts of a management plan designed to improve oak regeneration and benefit wildlife in the Ozark Highlands in Madison, Co., AR. To assess the efficacy of the management plan, I used variables relevant to the success and establishment of oak trees. Controlled burns and selective logging were used to thin the canopy, increase ground level productivity, and increase the abundance of small mammals. I used measurements of overstory and understory densities, light availability, and the density of mice in the genus Peromyscus across time to look at the lasting impacts of management. Different treatment plots were used to investigate the impact of each management action separately (Burn or Cut) and in combination (Burn and Cut) relative to unaltered control plots. Measurements were compared between pre-treatment, post-treatment, and 10-years posttreatment time points. I found that a 10-year lapse in management resulted in a complete return to pre-treatment values in overstory density. I also saw a decline below pre-treatment values in understory density and Peromyscus density. Analysis of light availability at the forest floor revealed a persistent effect of treatment. I conclude that while initial treatment was effective, 10 years between management events is too infrequent to achieve the desired long-term changes within my study system. More frequent management may be more effective in meeting the management goals for this Ozark system.
THE APPLICATION OF UAV OBLIQUE PHOTOGRAMMETRY IN SMART TOURISM: A CASE STUDY OF LONGJI TERRACED SCENIC SPOT IN GUANGXI PROVINCE

Abstract. With the application of UAV Oblique photography, rapid 3D real-time modeling based on aerial image data has become a new technology in the field of 3D modeling. In view of the current poor mapping and inability to reuse the basic surveying and mapping data in the publicity and display, dynamic planning, etc., based on the UAV photogrammetry technology that is used to rapidly and accurately collect image data of the Longji terraced scenic spot in Guilin, Guangxi, this paper develops a platform by 3D real-time modeling technology with the combination of the high-tech such as digital mapping to realize the three-dimensional navigation and smart tourism of the scenic spot. The practical results show that the application can better meet the actual needs of high precision, large scale, wide audience, strong interaction, etc., which effectively alleviates the contradiction between the protection and utilization of cultural resources in cultural tourism, expands the cultural resources audience, and provides high-tech support to the cultural tourism.
The transcendence of Augmented Reality in student motivation. A systematic review and meta-analysis

The arrival of information and communication technologies (ICTs) in the education system has meant that many new resources of great didactic interest have reached the classroom. This is the case of Augmented Reality, a technology that has become popular due to its ability to combine virtual and real elements at the same time. This work has attempted to investigate the scientific literature to see if the application of Augmented Reality in the classroom promotes a motivational improvement in the student body of the various educational stages. For this purpose, the methodology corresponding to the systematic reviews and meta-analysis proposed by the PRISMA declaration was used, taking as data source the databases Scopus and Web of Science. A total of nine quasi-experimental methodologies were analysed around the measurement of the motivation variable. The results elucidated a favourable diagnosis to the experimental groups, so it could be inferred that experimentation in the classroom with Augmented Reality motivates the student body of different educational stages. Nevertheless, it is necessary to carry out a greater number of experiences with Augmented Reality in the classrooms in order to be able to establish an opinion around a more solid body of scientific work.
Motion Recognition of Assistant Referees in Soccer Games via Selective Color Contrast Revelation

In this paper, we propose a method to recognize motions of assistant referees in soccer games. Since the major motions of assistant referees in soccer games are closely related to the direction of pointing the ﬂag, positional information of the ﬂag and the upper body can be utilized as an important clue for motion recognition. Based on this observation, we propose to generate and utilize a heatmap image which reveals the contrast between colors of the ﬂag and the upper body. For quantitative evaluation, we used K-league 2017 dataset, and our proposed method achieved 97.56% accuracy surpassing various deep learning-based classi-ﬁers. We expect that this study would be used as a useful benchmark for researchers developing sports event recognition systems.
Do Morphological Similarities and human-induced dispersal explain the non-native occurrence of Serpulidae (Annelida) in Southwest Atlantic? Taxonomic detailing is the key

Species of Serpulidae are common on benthic and biofouling communities, occurring attached on both natural and artificial substrates. In this paper, Serpulids were collected from intertidal to subtidal areas, on rocky shore and suspended artificial plates in port areas. Herein we report three new records of serpulid species to the coast of Rio de Janeiro, Brazil. We also discuss the misidentification of Spirobranchus tetraceros, which was previously reported to the north of Rio de Janeiro. Key-Words. Spirobranchus; Hydroides; Protula; Introduced species; Tropical West Atlantic.
A Causal Model of Social Intelligence among Nursing Students

วตัถปุระสงค์: เพื ่อทดสอบรูปแบบความสมัพนัธ์เชงิสาเหตุของความฉลาดทาง สงัคมของนักศกึษาพยาบาล วิธีการศึกษา: การวจิยัเชงิพรรณนาชนิดวเิคราะห์ ความสมัพนัธ์เชิงท านายนี ้ศึกษาในกลุ่มตวัอย่างเป็นนักศึกษาพยาบาลระดบั ปรญิญาตรทีี อ่ยู่ในจงัหวดัชลบุรจี านวน 450 คน ที ม่คีุณสมบตัติามที ก่ าหนด และ คดัเลอืกเข้าร่วมการวจิยัดว้ยวธิกีารสุ่มแบบแบ่งชั น้ภูม ิเก็บรวบรวมข้อมูลดว้ย แบบสอบถามชนิดเลอืกตอบจ านวน 7 ฉบบั ไดแ้ก่ แบบสอบถามขอ้มลูสว่นบุคคล แบบประเมนิความฉลาดทางสงัคม แบบประเมนิความฉลาดทางอารมณ์ แบบ ประเมนิรูปแบบการเรยีนรู ้แบบประเมนิการปรบัตวัของนักศกึษาพยาบาล แบบ ประเมนิพฤตกิรรมตดิสนทนาออนไลน์ และแบบประเมนิสมัพนัธภาพในครอบครวั วเิคราะห์ขอ้มูลดว้ยสถติเิชงิพรรณนา และการวเิคราะห์รูปแบบสมการโครงสรา้ง ผลการศึกษา: ผลการวิเคราะห์รูปแบบสมการโครงสร้างพบว่ารูปแบบ ความสมัพนัธ์เชงิสาเหตุที ่ปรบัปรุงมคีวามสอดคลอ้งกบัขอ้มูลเชงิประจกัษ์ และ สามารถท านายความแปรปรวนของความฉลาดทางสงัคมของนักศกึษาพยาบาล ได้ร้อยละ 72 (χ2 = 403.85, P-value < 0.001, df = 101, GFI = 0.91, CFI = 0.97, RMSEA = 0.08) ซึ ง่ความฉลาดทางอารมณ์มอีทิธพิลโดยตรงทางบวกกบั ความฉลาดทางสงัคมของนักศกึษาพยาบาล ( = 0.42, P-value < 0.001) ส่วน การปรบัตวัของนกัศกึษาพยาบาล พฤตกิรรมตดิสนทนาออนไลน์ และสมัพนัธภาพ ในครอบครวัมอีทิธพิลทางออ้มตอ่ความฉลาดทางสงัคมของนกัศกึษาพยาบาลโดย ส่งผ่านความฉลาดทางอารมณ์ ( = 0.28, P-value < 0.001;  = -0.08, 0.03, 0.03, ตามล าดับ , P-value < 0.05 ทัง้หมด) สรุป: ผลการศึกษานี ้ เป็น หลกัฐานเชงิประจกัษ์เกี ย่วกบัรปูแบบความสมัพนัธเ์ชงิสาเหตุของความฉลาดทาง สงัคมของนักศึกษาพยาบาลระดบัปรญิญาตรี ซึ ่งเป็นประโยชน์ต่อการพฒันา กิจกรรมหรอืโปรแกรมที ่เหมาะสมส าหรบัการเสรมิสร้างศกัยภาพของนักศกึษา พยาบาลในการท างานหรอือยู ร่ว่มกบัผู อ้ื ่น
The Impact of External Supply Chain Management on Export Performance of Kazakhstan’s Firms: Mediating Role of Export Marketing Capabilities

The aim of the current research paper was to investigate the impact of External Supply Chain Management on Export Performance of Kazakhstan’s Firms and as well as the mediating role of export marketing capabilities between the relationship of external supply chain management on export performance. In any country, exports play a major role and the export marketing capabilities enhance the performance of the export. It is essential for the exporters of any country to develop their export marketing capabilities. The researcher collected the data from Kazakhstani exporters who are working in various manufacturing firms. The total sample of the study was 334. The researcher collected data from the study sample group through a questionnaire. The study outcomes demonstrate that external supply chain management has a significant effect on export performance and in addition, the results show that export marketing capabilities significantly mediate the relationship between external supply chain management and export performance. This research article includes theoretical implications resulting from the findings and their practical significances. This study has research limitations such as the small sample size and future scholars should collect data from a larger group.
Fe b 20 20 STRESS-ENERGY IN LIOUVILLE CONFORMAL FIELD THEORY

We construct the stress-energy tensor correlation functions in probabilistic Liouville Conformal Field Theory (LCFT) on the two-dimensional sphere S by studying the variation of the LCFT correlation functions with respect to a smooth Riemannian metric on S. In particular we derive conformal Ward identities for these correlation functions. This forms the basis for the construction of a representation of the Virasoro algebra on the canonical Hilbert space of the LCFT. In [13] the conformal Ward identities were derived for one and two stress-energy tensor insertions using a different definition of the stress-energy tensor and Gaussian integration by parts. By defining the stress-energy correlation functions as functional derivatives of the LCFT correlation functions and using the smoothness of the LCFT correlation functions proven in [17] allows us to control an arbitrary number of stress-energy tensor insertions needed for representation theory.
UPMlib: A Runtime System for Tuning the Memory Performance of OpenMP Programs on Distributed Shared Memory Multiprocessors

We present the design and implementation of UPM LIB , a runtime system that provides transparent facilities for dynamically tuning the memory performance of OpenMP programs on scalable shared-memory multiprocessors with hardware cache-coherence. UPM LIB integrates information from the compiler and the operating system, to implement algorithms that perform accurate and timely page migrations. The algorithms and the associated mechanisms cor-relate memory reference information with the semantics of parallel programs and scheduling events that break the association between threads and data for which threads have memory afﬁnity at runtime. Our experimental evidence shows that UPM LIB makes OpenMP programs immune to the page placement strategy of the operating system, thus obviating the need for introducing data placement directives in OpenMP. Furthermore, UPMlib provides solid improvements of throughput in multiprogrammed execution environments.
Investigating the inhibitory effect of miR-34a, miR-449a, miR-1827, and miR-106b on target genes including NOTCH1, c-Myc, and CCND1 in human T cell acute lymphoblastic leukemia clinical samples and cell line

Objective(s): microRNAs are small non-coding molecules that regulate gene expression in various biological processes. T-cell acute lymphoblastic leukemia (T-ALL) is a malignancy accompanied with genetic aberrations and accounts for 20% of children’s and adult’s ALL. Notch signaling pathway dysregulation occurs in 60% of T-ALL cases. In the present study, we aimed to determine the relationship between miRNAs and genes involved in Notch signaling pathway. Materials and Methods: Considering the role of the pathway and its down-stream genes in proliferation, differentiation, cell cycle, and apoptosis, NOTCH1, c-Myc, and CCND1 genes were selected as target genes. Using bioinformatics studies, miR-34a, miR-449a, miR-1827, and miR-106b were selected as miRNAs targeting the above-mentioned genes. We evaluated these genes and miRNAs in T-ALL clinical samples as well as Jurkat cell line, in which NOTCH1 is overexpressed. Results: Quantitative Real-Time PCR indicated that NOTCH1, c-Myc, and CCND1 were overexpressed in samples with decreased expression of miR-34a. In addition, we observed that samples with decreased expression of miR-449a showed increased expression of NOTCH1 and CCND1. Furthermore, we analyzed the expression of miR-1827 and miR-106b, which target c-Myc and CCND1, respectively. We found out that the expression of miR-1827, miR-106b, and their respective target genes were inversely correlated in 80% and 75% of the cases (r=0.8), respectively. Furthermore, in Jurkat cell line, the expression of target genes was increased while the candidate miRNAs except miR-34a were decreased. Conclusion: These miRNAs can be proposed as biomarkers and new therapeutic targets in T-ALL patients who have NOTCH1 overexpression.
DPR based Small Area Reconfigurable Multi-Algorithm Accelerator for IoT System

—With the development of the Internet of Things (IoT), various signal processing algorithms have been widely used in IoT devices. Convolutional neural networks (CNN), image processing algorithms and speech processing algorithms are important signal processing algorithms that play an important role in various intelligent IoT devices. In order to enable IoT devices with limited computing power to support various signal processing algorithms, In this paper, we propose a small area reconfigurable multi-algorithm accelerator to accelerate various signal processing algorithms through hardware. The accelerator realizes reconfiguration of its own structure based on Dynamic Partial Reconfiguration (DPR) function of FPGA. A SoC verification system based on Cortex-M3 is constructed to verify the performance of the designed accelerator. The Lenet-5 network, Sobel Edge Detector algorithm and FIR filtering algorithm are implemented on this accelerator. The execution time of Lenet-5 network is compared with that of Intel i5 7500, Cortex-A53 and Cortex-A7 CPU. The execution time of Sobel Edge Detector algorithm and FIR filtering algorithm is compared with software implementation of same design on Cortex-M3 core. The comparison results show that the CNN computing power of the proposed accelerator exceeds that of Cortex-A53 and Cortex-A7 at the main frequency of 50MHz. The computing time of Sobel Edge Detector algorithm and FIR filter algorithm is also reduced in comparison to the software implementation.
An Efficient Lightweight Framework for Porting Vision Algorithms on Embedded SoCs

The recent advances in the ﬁeld of embedded hardware and computer vision have made autonomous vehicles a tangible reality. The primary requirement of such an autonomous vehicle is an intelligent sys-tem that can process sensor inputs such as camera or lidar to have a perception of the surroundings. The vision algorithms are the core of a camera-based Advanced Driver Assistance Systems (ADAS). However, most of the available vision algorithms are x86 architecture based and hence, they cannot be directly ported to embedded platforms. Texas In-struments (TI) embedded platforms provide Block Accelerator Manager (BAM) framework for porting vision algorithms on embedded hardware. However, the BAM framework has notable drawbacks which result in higher stack usage, execution time and redundant code-base. We pro-pose a novel lightweight framework for TI embedded platforms which addresses the current drawbacks of the BAM framework. We achieve an average reduction of 15.2% in execution time and 90% reduction in stack usage compared to the BAM framework.
Monitoring of Diffraction Efficiency, During Replication Process of a Diffraction Grating on Convex Substrate by Solvent Vapor Assisted Imprinting Lithography

For several reasons and in many fields, the replication of structures or nanostructures is realized. Actually, a lot of techniques exist, and the quality evaluation of the replication process is generally realized after replication process. In such conditions, the determination of adequate duration is a challenge. Diffraction grating replication realized by solvent vapor assisted imprinting lithography (SVAIL) process, on convex substrate, is here reported. Photoresist coating on convex substrate is also a challenge. It is treated in this paper before going on with replication and experimental measurement. Next, with that coated convex substrate, diffraction grating replication is realized. And the diffraction efficiency is monitored in real time during the replication process. The monitoring indicates the variation of diffraction efficiency during the evolution of SVAIL process. The comparison of monitored diffraction efficiency to theoretical simulations of diffraction efficiency for various steps of SVAIL process, allows to deduce the value of diffraction efficiency for optimal replication; and finally, the required duration of the replication process for optimal result is deduced.
Evaluation of Arrowhead Framework in Condition Monitoring Application

Henrikki Hoikka: Evaluation of Arrowhead Framework in Condition Monitoring Application Master of Science Thesis Tampere University Automation Engineering December 2019 The technological advancement in the field of electronics and information technology is changing how industrial automation systems are built. This phenomenon is commonly referred to as the fourth industrial revolution. However, before this prophecy on the change can manifest, new architectural solutions are needed to fully leverage the abilities brought by cheaper sensors, more advanced communication technology and more powerful processing units. The Arrowhead Framework tries to tackle this problem by providing means for Service-oriented architecture via System-of-Systems approach, where so-called application systems consume services provided by so-called core systems, which provide means for service discovery, service registration and service authorization. The goal of the thesis was to evaluate The Arrowhead Framework by developing a demo application on the edge-cloud setup used in the condition monitoring system of vibrating screens manufactured by Metso. The demo applications objective was to ease the configuration and installation of industrial Linux PC’s at the edge of the network. The methodological model for the evaluation was based on the design science research process (DSRP), which provides a model for research of IT artefacts. As a result, the Arrowhead Framework’s core features were found helpful in the problem domain, and suitable for small-scale test setup. However, the implementation of the framework was found to be low quality and lacking features from a production-ready software artefact. The found shortcomings were reported as feedback for the ongoing development process of the framework.
Structural insights into conformational switching in latency-associated peptide between transforming growth factor β-1 bound and unbound states

Analysis of crystallographic, solution scattering and biochemical experiments suggests a mechanism for the sequestration of transforming growth factor β-1 by latency-associated peptide (LAP) that includes a structural change in LAP from an open to a closed conformation. This mechanism contains several potential regulatory features that are exploitable for therapeutic development.
Evaluating Sustainable Liveable City via Multi-MCDM and Hopfield Neural Network

Research on liveable cities has received increased attention in recent years because of the complexity and diversity of liveability standards. Evaluating the liveable environment is a multiple criteria decision-making (MCDM) problem, and the results can be used to control environmental pollution and protect human health. However, different evaluation methods can lead to different results; hence, determining how to effectively to obtain the consistent results is a main consideration of this study. The objective of this work is to design an optimal method based on the difference ratio concept. A hopfield neural network is selected to validate the experimental results. Referring to the liveable city rankings established by the Economist Intelligence Unit, thirteen large cities in China are used to illustrate the application of the model, evaluate the liveable urban environment, and demonstrate the effectiveness and feasibility of the proposed model. The results show that Hangzhou is the most liveable city and Beijing has the worst liveable urban environment. Therefore, a common policy should be strengthening environmental governance, with a special focus on the development of low-carbon cities, for which both the local and global environmental impacts could be mitigated.
Blood and Merogonic Stages of Haemogregarina Species Naturally Infecting The Nile Monitor Varanus niloticus, Egypt

Haemogregarines are haemoparasites (Apicomplexa: Adeleiorina) of all class of vertebrates nearly, worldwide. The present study was aimed to establish and describe the developmental stages of a Haemogregarina species infecting Nile monitor (Varanus niloticus). The captured Nile monitors were three animals with 80-100 cm in length, they captured from Qena province, Southern Egypt, and thin blood films were prepared and microscopically examined. Also, small pieces of the liver and the lungs of the infected animals were separated and prepared for sectioning, which stained and examined. The recovered parasites have rod-like bodies, infecting the erythrocytes only, with a single stage, in a parasitophorous vacuole and have no karyolitic effect. The parasitaemia level was found up to 5010,000 counted erythrocytes. Only gamonts have been recognized in blood smears, and they were found in two forms; the first form is short, thick (called short gamont) and measured 11.02 × 2.65 µm. The second form was found long and thin (called long gamont), with a subterminal nucleus, measured 14.18 × 2.45 µm. Both forms cause either slightly or strong displacement of the host cell nucleus. The infected erythrocytes had either slightly or markedly hypertrophied in presence of short and long gamonts. The infected erythrocyte measured 18.05 × 8.87 µm, but the uninfected erythrocyte was 16.52 × 8.77 µm in length and width, respectively. Schizogony phase was observed in the lungs only of the infected Nile monitor, where the meronts were formed within parasitophorous vacuoles. The parasite nucleus divided many times, and the produced nuclei are peripherally arranged in the meront, forming merozoites. After separation of the merozoites, residual bodies formed. The merogonic stages were differentiated into two forms, micromeront that measured 15.57×14.29 µm, and produces a few numbers of macromerozoites, meanwhile the macromeront measured 19×15.9 µm and produces up to six micromerozoites.