Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States

The Gulf and southeast coastal communities in the United States are particularly vulnerable to tropical cyclones. Coastal areas generally receive the greatest economic losses from tropical cyclones; however, research suggests that losses in the inland zone can occasionally be higher than the coastal zone. Previous research assessing the inland impacts from tropical cyclones was limited to the areas that are adjacent to the coastal zone only, where losses are usually higher. In this study, we assessed the spatial distribution of inland property damage caused by tropical cyclones. We included all the inland counties that fall within the inland zone in the states of Louisiana, Mississippi, and Alabama. Additionally, different factors, including meteorological storm characteristics (tropical cyclone wind and rain), elevation, and county social-economic vulnerability (county social vulnerability index and GDP) were assessed to measure their influence on property damage, using both ordinary least squares (OLS) and geographically weighted regression (GWR) models. GWR performs better than the OLS, signifying the importance of considering spatial variations in the explanation of inland property damage. Results from the tristate region suggest that wind was the strongest predictor of property damage in OLS and one of the major contributing factors of property damage in the GWR model. These results could be beneficial for emergency managers and policymakers when considering the inland impacts of tropical cyclones.
Hybrid Neo-Fuzzy Neural Networks Based on Self-Organization and Their Application for Forecasting in Financial Sphere

In this paper new class of deep learning – cascade neo-fuzzy neural network (CNFNN) was considered and investigated. Neo-fuzzy neuron with two inputs is used as a node of hybrid network. The experimental investigations were carried out during which the optimal parameters of neo-fuzzy network were found: number of inputs, training/test sample ratio and number of linguistic variables. Method GMDH was used for optimal structure construction of deep hybrid network. The experimental investigations of deep NFNN were carried out in the problem of market index forecasting at German stock exchange and Google share prices. The comparison experiments of the deep neo-fuzzy network with alternative methods GMDH and conventional cascade neo-fuzzy network were carried out and the efficiency of suggested hybrid NFN was estimated
Objects Segmentation in Augmented Reality Environment

The paper discusses objects (images) segmentation algorithms that are applicable in mobile applications with augmented reality. An example of image processing with virtual objects by different algorithms (the MeanShift algorithm, the GrabCut algorithm, the k-means algorithm) is considered. Different libraries, tools, and environments to implement segmentation algorithms were analyzed, such as Scikit-image, Pixellib, OpenCV, Point Cloud Library. The application was created for mobile devices running iOS 10 and higher. The GrabCut algorithm turned out to be the best algorithm for image processing. The processing result was the closest to the expected one. Although the algorithm has some errors. Despite the fact that the area that was contoured turned out to be the clearest and most complete in comparison with other algorithms, this area also includes areas of the image that do not belong to the objects under study.
Creating dictionaries for argument identification by reference data

The creation of dictionaries is an important task to conceptualize and operationalize research questions in content analysis (Neuendorf, 2002). One can define concepts for coding operationalized variables in the form of mutual exclusive categories or decide if the content of documents is relevant for coding within the research task by the formalization of meaning trough a dictionary (Krippendorff, 2004). Dictionaries are often defined on the basis of a “theory of meaning that reflects a research question or the vocabulary of an academic discipline” (Krippendorff, 2004). Thus, we can think of dictionaries as operationalized representations of historical, sociological, cultural or political theories that are investigated within humanities research.
Improved Quantum Codes from Metacirculant Graphs via Self-Dual Additive F4-Codes

We use symplectic self-dual additive codes over $\mathbb{F}_4$ obtained from metacirculant graphs to construct, for the first time, $[[\ell, 0, d ]]$ qubit codes with parameters $(\ell,d) \in \{(78, 20), (90, 21), (91, 22), (93,21),(96,21)\}$. Secondary constructions applied to the qubit codes result in many qubit codes that perform better than the previous best-known.
On Marking NPs by Exclusive Only in EEBO Corpus: Syntactic and Information Structural Considerations

The study deals with an exclusive adverb only functioning as a part of the NP in Early Modern English based on the Corpus of Early English Books Online. The research takes into account the peculiar features of the XV-XVI-century English word-order and the NPs structure that have been more rigidly defined in terms of syntax compared to the previous centuries. The patterns under analysis fall into such types: [only [NOUN]], [only [PREP] [NOUN]], [[NOUN] only]. The tokens retrieved from the Corpus are tagged following the theory of Discourse Representation Structure. Thus, two major layers have been distinguished, viz. discourse given-new information, as well as, Focus and Topic of the sentence. The investigation found that positional variations of adverb only are used as a mechanism of marking a peculiar type of Focus (informational, identificational, emphatic, contrastive, exhaustive and verum) and are governed by the position of adverb with regard to the word it modifies.
The Method of Constructing a Development Trajectory as the Basis of an Intelligent Module for Strategic Planning of the EPM System

The application of computational intelligence methods for solving strategic problems based on the analysis of research in the field of strategic management and forecasting is considered. The description of the process of forming strategic goals for the company as procedure of the business process to form the company development program is presented. This business process is implemented as a separate module of the strategic planning subsystem of the Enterprise Performance Management system. A solving for the problem of choosing strategies to achieve strategic goals is proposed. The choice of strategies is based on the analysis of development trajectories. A method for constructing a development trajectory is proposed. The method uses the idea of a sequential analysis of options. Each point of development trajectory will correspond to market positions that the company must have at strategic intervals in order to achieve the strategic goal. Possible market conditions (company positions) at intervals of the planning period are determined based on predicted values of market parameters and solving the segmentation problem. The segmentation problem is formulated as a classification problem and is implemented by one of the Machine learning methods. Forecasting is based on neural networks. It is proposed to use a neural network with the Temporal Fusion Transformer architecture.
deBas: a sinhala Interactive voice response (IVR) system

A l t h o u g h t h e r e a r e w i d e l y used I n t e r a c t i v e Voice Response (IVR) systems i n many l a n g u a g e s t o d a y , t h e r e is no S i n h a l a l a n g u a g e IVR system yet. This p a p e r t a l k s a b o u t deBas I V R : a c o m p l e t e S i n h a l a I V R w i t h a u t o m a t i c speech r e c o g n i t i o n (ASR) a n d text-to-speech (TTS) synthesis modules t h a t w o r k i n c o m p l i a n c e w i t h M e d i a Resource C o n t r o l P r o t o c o l (MRCP). I t discusses some b a c k g r o u n d l i t e r a t u r e , t h e process t a k e n , t h e o v e r a l l d e s i g n a n d i m p l e m e n t a t i o n aspects a n d t h e f u t u r e w o r k t h a t c a n be c a r r i e d o u t i n t h i s a r e a . I n t h e ASR component, t r a i n i n g t h e a c o u s t i c m o d e l is done w i t h S p h i n x T r a i n , a n d d e c o d i n g w i t h P o c k e t S p h i n x , w h i c h a r e based o n H i d d e n M a r k o v M o d e l s (HMM). I n t h e TTS component, A M o R A S i n h a l a TTS k n o w l e d g e base is used, w h i c h uses F e s t i v a l speech synthesis e n g i n e a n d a f e m a l e d i p h o n i c v o i c e , b u i l t u s i n g Festvox v o i c e b u i l d i n g t o o l s . A s t e r i s k is used as t h e IVR gateway a n d d i a l p l a n i n t e r p r e t e r . M R C P v 2 p r o t o c o l has been f o l l o w e d i n d e v e l o p i n g t h e speech r e s o u r c e s , w h i c h uses Session I n i t i a t i o n P r o t o c o l (SIP) f o r e s t a b l i s h i n g c o n t r o l l e d c o n n e c t i o n s t o e x t e r n a l m e d i a s t r e a m i n g devices a n d R e a l t i m e T r a n s p o r t P r o t o c o l (RTP) f o r m e d i a d e l i v e r y . The l a n g u a g e m o d e l of t h e ASR c o m p o n e n t has been r e s t r i c t e d t o d i g i t s f r o m 0-9 t h a t a r e c o m m o n l y used i n IVR systems a n d t h e set of w o r d s used f o r o u r demo a p p l i c a t i o n . The W o r d E r r o r R a t e a n d t h e S e n t e n c e E r r o r Rate of t h e ASR c o m p o n e n t a r e r e p o r t e d t o be 3 1 . 4 % a n d 5 4 % r e s p e c t i v e l y , as o b s e r v e d i n o u r e x p e r i m e n t s . I n a d d i t i o n t o these, we a l s o i n t r o d u c e a new i n t o n a t i o n m o d e l t h a t c a n be a p p l i e d t o any e x i s t i n g S i n h a l a d i p h o n i c v o i c e s .
DYNAMIC CONTROL FOR A TRANSFORMER LESS UNIFIED POWER QUALITY CONDITION

A single-segment transformer-less unified energy best conditioner (TL-UPQC) is provided. apart from having no isolation transformer, the proposed structure makes use of 4 switching devices handiest, forming two half of-bridge voltage-source inverters one related in parallel with the load and some other one related in series with the AC mains. the two inverters share the identical DC link. The parallel inverter, which is managed by using a hysteresis contemporary controller, is used to shape the contemporary drawn from the AC mains and alter the DC-hyperlink voltage. The series inverter, which is controlled via a boundary controller with 2d-order switching surface, is used to regulate the regular-state load voltage and provide voltage sag / swell experience-thru. A DC-hyperlink capacitor voltage balancing manipulate that coordinates the operations of the 1 International Journal of Pure and Applied Mathematics Volume 120 No. 6 2018, 11409-11416 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl. eu/hub/ Special Issue http://www.acadpubl. eu/hub/
Effects of Xingxiong Sodium Chloride Injection Combined with Edaravone on Neurological Function, Cerebral Blood Perfusion and Oxidative Stress in Patients with Acute Cerebral Infarction*

摘要目的:探讨杏芎氯化钠注射液联合依达拉奉对急性脑梗死(ACI)患者神经功能、脑血流灌注及氧化应激水平的影响。 方法:随 机将 2018年 1月至 2019年 7月我院收治的 120例 ACI患者分为两组,均给予常规神经内科治疗,对照组(60例)在常规治疗基 础上给予依达拉奉静脉滴注 2周,观察组(60例)在对照组基础上加用杏芎氯化钠注射液滴注两周。 观察两组临床疗效和安全性, 并比较治疗前后神经功能、认知功能、残疾程度、脑血流灌注以及氧化应激水平的差异。 结果:观察组治疗总有效率均高于对照组 (P<0.05)。 观察组治疗后美国国立研究院脑卒中评定量表(NIHSS)、改良 RANKIN量表(MRS)评分、脑缺血区平均通过时间 (MTT)、峰值时间 (TTP)、丙二醛(MDA)、晚期氧化蛋白产物(AOPP)低于对照组(P<0.05),简易智能精神状态检查量表(MMSE)评 分、脑血流量(CBF)、脑血容量(CBV)、超氧化物歧化酶(SOD)、谷胱甘肽过氧化物酶(GSH-Px)、总抗氧化能力(T-AOC )高于对照组 (P<0.05)。 两组不良反应率比较无统计学差异(P>0.05)。 结论:杏芎氯化钠注射液联合依达拉奉治疗可有效地改善 ACI患者神 经功能,增加缺血区脑血流灌注量,改善氧化应激,提高临床疗效。 关键词:杏芎氯化钠注射液;依达拉奉;急性脑梗死;神经功能;脑血流灌注;氧化应激 中图分类号:R743 文献标识码:A 文章编号:1673-6273(2021)07-1374-05
Key Word versus Key Phrase in Manual Indexing

The main purpose of this article was to check variations in the application of each type of key term – 1-word, 2-word, 3-word, 4-word, and phrase – among four groups, three manual indexers, and 111 authors; to analyze the application of single word versus 2-word index terms and single word versus phrase index terms by each of the four groups. The analyses carried out with the SPSS software bore the following results: (1) The results of one-way ANOVA revealed that the four groups of indexers were statistically different in their application of each type of key term; (2) All the four groups of indexers used phrases more than single word
Detection of Linux Malware Using System Tracers – An Overview of Solutions

— Linux is widely used for servers and embedded systems which require a high level of security and reliability. Although Linux is secure in general, traditional defense methods, such as signature-based detection, fail to detect new malicious programs. A more advanced approach is based on prediction of malicious behavior with dynamic analysis of the executed process. One method of observing the process execution on a Linux system is the use of system tracers such as ftrace and strace. This paper presents an overview of solutions for malware detection by using system tracers on Linux. Different malware detection strategies are discussed and compared with the presented approach. Results of several research projects done in this area are discussed, as well as the observed drawbacks. Technical details of this approach including the tracing utilities on Linux, sandboxing methods and machine learning models are discussed.
A Material Flow Model for Dragline Bucket-Formation Failure Analyses Using the Distinct Element Method

A Material Flow Model for Dragline Bucket-Formation Failure Analyses Using the Distinct Element Method Somua-Gyimah Godfred, Frimpong Samuel, Awuah-Offei Kwame, Nassib Aouad Department of Mining & Nuclear Engineering, Missouri University of Science & Technology, 226 McNutt Hall, 1400 N. Bishop Ave., Rolla MO 65409-0330. Abstract The dragline machinery has found applications as a competitive excavator for overburden removal in surface mining operations. This excavator is highly capital intensive with high operating expenditures. However when used with appropriate layout design, optimization and planning, the dragline can achieve favorable economics for material excavation. Dragline operating challenges must be addressed via detailed modeling, simulation and analysis to provide solutions for efficient and effective operations. The mechanics of formation failure differ based on tool geometry, orientation and trajectory. While failure of earth material ahead of the excavation equipment has been the subject of much interest over the years, the failure of material ahead of the dragline bucket has received relatively little attention. In this study, a material flow model has been formulated, verified and validated for understanding formation failure ahead of the bucket during dragline excavation. The model is then used to investigate reported observations about the bucket loading and formation failure processes. The material failure pattern and material density distribution variations generally agree with reported field observations. Starting from an initial zone density of The Region I density rises quickly from 1.01 ton/m to 1.25 ton/mover 1 m of bucket dragging. Regions II and III densities climbed rapidly from an initial 1.0 ton/m to 1.9 ton/m and 2.5ton/m, respectively over the first 1m of bucket dragging. For each formation type and characteristics, these density variations are important to achieve appropriate maximum suspended loads for preserving dragline longevity. INTERNATIONAL JOURNAL OF MINING ENGINEERING AND TECHNOLOGY
The Impact of Early Childhood Mother Tongue Interventions on Grade 1 Literacy Skills of Ethnic Minority Children in Thailand

Introduction Some 7000 languages are spoken in the world today. Nonetheless, the global push for early childhood education has been largely silent on the issue of language. This has unintentionally provoked a crisis of linguistic loss in ethnic minority communities throughout Asia, as children are placed in ECD centers where caretakers do not speak their mother tongue. Some governments actively promote national language or English language ECD as a “solution” to the language “problem” of minority children—violating a host of United Nations declarations related to the linguistic and cultural rights of indigenous and ethnic populations. This paper examines the link between mother tongue preschools and national language literacy skills among Hmong speaking ethnic minority children in Northern Thailand. Four pilot “Multilingual Education” (MLE) program schools in which the Hmong language was used as the main language of instruction in preschool and the early primary grades were paired with four comparison schools where Hmong children were taught exclusively in Thai. Thailand’s New Grade 1 Literacy Assessment Like many Asian countries, Thailand places great emphasis on testing. Historically, the most important educational benchmarks have been the grade 3 National Test (NT) and the Ordinary National Education Test (O-Net) administered in grades 6, 9 and 12. The ONet in particular has been subject to much criticism, as national averages for most subjects are far below the 50% mark (NIETS, 2015). In 2013, NT and O-Net scores showed that 8% of grade 3 and 4% of grade 6 children in Thai schools were illiterate. This came as a shock to a country long accustomed to boasting about its 98% literacy rate. Most of the illiterate children were from ethnic minority groups (Khaosod English, 2013).
IT Security of Cloud Services and IoT Devices in Healthcare

The continuous evolution of new technologies is going to rapidly transform several sectors. A widespread hypothesis claims that especially the healthcare sector will undergo a drastic transformation with the integration of medical Internet of Things (IoT) devices. The use of medical IoT devices results in the implementation of necessary medically approved hardware, software and attached cloud services. This leads to new Information Technology (IT) security challenges and demands for new IT security concepts. This paper aims to identify upcoming security challenges by researching existing IT security guidelines targeting network-connected medical IoT devices, their users and the attached cloud services in homecare and integrated care. Keywords—Internet of Things; healthcare; medical IoT; cloud services.
ARTIFICIAL INSEMINATION TECHNIQUE AND ITS ADVANTAGES IN SWINE INDUSTRY

Artificial Insemination (AI) is a process which including semen collection, diluted, stored and transferring semen to oestrus female animal. Semen is normally available either as fresh, chilled or frozen. There are two main techniques in AI which are technique of passing through the cervix (normal) and the technique of inserting the back of the cervix with the trumpet (Deep insemination) The AI has brought a numerous advantage to the swine industry. Firstly, AI can enhance the rate of genetic improvement, accelerate traits performance. Secondly, using AI in swine industry decrease the number of boars needed by a farmer is an economic benefit. Thirdly, AI helps minimise the risk of disease transmission. Another advantage of AI is that it allows the mating of swine in different sizes and ages.
Magnetic field dependence of low-energy magnons, anisotropic heat conduction, and spontaneous relaxation of magnetic domains in the cubic helimagnet ${\rm Zn}{\rm Cr}_2{\rm Se}_4$

D. S. Inosov ,1,2,* Y. O. Onykiienko,1 Y. V. Tymoshenko,1 A. Akopyan,3 D. Shukla,3 N. Prasai,3,† M. Doerr,1,2 D. Gorbunov,4 S. Zherlitsyn,4 D. J. Voneshen,5,6 M. Boehm,7 V. Tsurkan ,8,9 V. Felea,9 A. Loidl ,8 and J. L. Cohn 3,‡ 1Institut für Festkörper und Materialphysik, Technische Universität Dresden, 01069 Dresden, Germany 2Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter — ct.qmat, Technische Universität Dresden, 01069 Dresden, Germany 3Department of Physics, University of Miami, Coral Gables, Florida 33124, USA 4Hochfeld-Magnetlabor Dresden (HLD-EMFL), Helmholtz-Zentrum Dresden-Rossendorf, 01328 Dresden, Germany 5ISIS Facility, STFC, Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11-0QX, United Kingdom 6Department of Physics, Royal Holloway University of London, Egham, TW20-0EX, United Kingdom 7Institut Laue-Langevin, 71 Avenue des Martyrs, CS 20156, 38042 Grenoble Cedex 9, France 8Experimental Physics V, Center for Electronic Correlations and Magnetism, Institute of Physics, University of Augsburg, 86135 Augsburg, Germany 9Institute of Applied Physics, Chisinau MD-2028, Republic of Moldova
EFFECT OF AEROBIC EXERCISE PROGRAMME ON BODY COMPOSITION AND CARDIORESPIRATORY PROFILES OF INDIVIDUALS WITH INTELLECTUAL DISABILITIES IN IBADAN, NIGERIA

People with Intellectual Disability (ID) constitute a vulnerable social group, making their physical health improvement a primary concern to all involved with their care. The aim of this study was to investigate the effect of aerobic exercise programme on body composition and cardiorespiratory profiles of intellectually disabled individuals in Ibadan. The quasi-experimental design was used for the study with a sample of 65 intellectually disabled individuals drawn from 4 intellectually disabled institutions in Ibadan metropolis. The descriptive statistics comprising mean, standard deviation and range were used to analyse data. Analysis of covariance (ANCOVA) was also computed on the pretest-posttest values for each experimental and control groups to determine the effects of the training on the participants in each group by comparing each experimental group with the control group based on the variables under study. All variables were tested at 0.05 level of significance. Two hypotheses were tested and the results show that exercise is effective on the body composition of subjects with F-ratio (2, 62) = 189.2, P< 0.05 and also significant on the cardiorespiratory profile with F-ratio (2, 62) =80.02, P< 0.05. Individuals with intellectual disability should always be encouraged to participate in exercise as it would help reduce obesity and improve their cardiorespiratory profile. Therefore, all stakeholders including parents/guardian of Individuals with intellectual disability should encourage them to be involved in regular exercise for improved physical fitness. Also, more exercise programmes should be developed for the intellectually disabled children with respect to their health and quality life.
Detection of Ischemic Episodes Based on Two Consecutive Declines in the JT/ST Algebraic Relationship

The main objective of this paper is to explore if the JT/ST algebraic relationship could be helpful for the identification of ischemic changes in the human cardiovascular system. The suggested visualization technique highlights the specifics of complex dynamical processes in the self-organization of the heart system during the load and recovery processes. It is demonstrated that the nonlinear algebraic relationship between the duration of the JT interval and the ST amplitude can be beneficial for a deeper interpretation of dynamical processes in the human cardiovascular system. The JT/ST relationship is used for the identification of the ischemic changes and for the characterization of individual performance of the person during the load and recovery processes.