Miracle-dz/UniFAR-FTUs huggingface dataset:
First Report on the Detection and Molecular Characterization of Bovine Herpesvirus 1 from a Clinical case of Infectious Bovine Rhinotracheitis in Pakistan

Bovine herpesvirus 1 (BHV-1) is a noteworthy reason for many Cattle/Buffalo diseases. Infectious bovine rhinotracheitis (IBR) is one of the diseases which are caused by the BHV-1. In the present study a cow which was suspected of IBR was examined. The animal was suffering from fever and respiratory distress along with rhinitis (red nose), in appetence, and dyspnea. The nasal mucosa and muzzle were distinctly inflamed, with nasal discharge. DNA from blood samples and nasal swabs were subjected to nested PCR using glycoprotein B gene (gB) Primers. The samples were found positive for BHV-1 gB gene. Sequencing and phylogenetic analysis revealed close similarities with other BHV-1 gB gene sequences. The accession numbers assigned to this pioneer sequences in GenBank are MT449510 (BHV-1-Pak 1) and MT449511 (BHV-1-Pak 2). In this study, we reported for the first time the detection of DNA of BHV-1 through nested PCR assay and molecular characterization of BHV-1 gB gene in Pakistan. This study will be useful in further diagnoses of BHV-1 in Pakistan and in development of BHV-1 vaccine to reduce economical losses due to IBR
Flexible hematite (α-Fe2O3)-graphene nanoplatelet (GnP) hybrids with high thermal conductivity

Hematite (α-Fe2O3) has several attractive properties such as corrosion resistance, catalytic activity, sensing properties, and magnetic features but also a room-temperature stable thermal conductivity of about 16 W/m K. Its use in polymer-matrix composites as a thermal performance enhancer is rather uncommon. In this study, hematite and graphene nanoplatelet (GnP) hybrids in a rubbery latex matrix were prepared and their thermal properties were characterized. The hybrids were mechanically stabilized into freestanding films by hot-pressing them into a porous cellulosic membrane. Optimization of the total filler concentration and the α-Fe2O3/GnP ratio yielded thermal interface material (TIM) films with a thermal conductivity of 8.0 W/mK. Infrared measurements showed that the TIMs significantly improved heat sink cooling and demonstrated rapid heat transfer in a system simulating stacked up electronic packing.
Auto gain Ultra low signal transimpedance amplifier for Blood Diagnostic machine.

The front-end circuit of blood diagnostic machine consists of a light source, photodiode and transimpedance amplifier (TIA). Various researchers have used separate photodiode and the TIA circuit to measure absorbance for different wavelengths that made the circuit bulky and limited its application for measurement of specific parameters. At high gain of around 4000 plus normally any amplifier, including TIA becomes unstable. We are presenting here auto gain TIA that is stable and precise even at the gain of 4000. MSP432 32 BIT Arm Cortex 4 microcontroller with inbuilt precision analog to digital convertor is used for sensing, implementing auto gain selection logic and calculating the absorbance. With this circuit, we measured the absorbance up to 4.2 and satisfactory results with maximum error of 0.04 were achieved up to the range of 3.5 on the absorbance scale. Further, the performance of TIA is tested and found satisfactory for 300nm to 800nm wavelength range.
Characterizing mechanical properties of human blood clots using optical coherence elastography

Thromboembolism in the cerebrovasculature can cause high morbidity and mortality. Embolectomy is one of the emergency procedures performed to remove emboli; however, the approach such as aspiration or stent retriever are empirically selected. An inappropriate selection of approach can influence the success rate during embolectomy and affect levels of brain damage. Therefore, understanding the composition of clots and their mechanical properties can lead to an appropriate treatment strategy for physicians. In this study, we investigated how the composition of human clots can affect their mechanical properties as quantified using acoustic radiation force optical coherence elastography (ARF-OCE) in a non-contact manner. Five red blood cells (RBCs) concentrations were fabricated from fibrin rich (21% RBC) to RBC rich (95% RBC). A 7.5 MHz highly focused transducer was used to provide acoustic radiation force exerted on the surface of the clots and an optical coherence tomography system was used to measure the wave propagation. The study showed that the trend of the wave velocities decreased with the RBC concentration increased. The study demonstrated that ARF-OCE could be a promising tool to quantify the mechanical properties of clots to inform treatment strategy for clinical interventionalists.
Comprehensive Assessment of the Efficiency and Sustainability of the Regional Health Care System

Nowadays, the sustainability of the health care system is a relevant research topic. The works of Russian scientists demon- strate the lack of a systematic approach to determining the efficiency and sustainability of the Russian health care. International experience and the data of the Regional Office for Europe of the World Health Organization (WHO) show that, despite exten- sive research, efficiency indicators of the health care system have been insufficiently developed. Using the methods of multidi - mensional comparative analysis, determined factor analysis, structural analysis, expert assessment, statistical modelling and forecasting methods, we developed a methodology for the comprehensive assessment of the efficiency and sustainability of the regional health care system. The methodological toolkit includes the comprehensive assessment of the relative efficien cy and relative sustainability of the regional health care system based on the established integral indicators. We tested this methodol- ogy on the example of the health care system of Sverdlovsk Oblast in the period 2017–2018. Integral indicators of the relative efficiency are directly influenced by the indicators of medical and social performance, which largely depend on the funding and management of the health care system. Simultaneously, the indicators of the relative efficiency can be high even if the indicators of the relative sustainability did not reach the established threshold. An integral indicator of the risk level considers the need to maintain the sustainability of the health care system for its functioning and development. Further, we constructed an interactive model for determining the risk zone and safe zone of the health care system. Due to its versatility, the proposed methodological toolkit allows an objective assessment of the efficiency and sustainability of the regional health care system
Correlates of Actual and Self-Reported Knowledge and Skills, Attitudes, and Barriers Mitigating Against the Implementation of Evidence-Based Practice in Physiotherapy

Background: Evidence-based practice (EBP) has in the last decade gained global prominence in healthcare professions including physiotherapy. Several studies have been conducted worldwide to determine physiotherapists' knowledge, attitudes, beliefs, behaviors, skills, and resources, and barriers mitigating against the implementation of EBP in physical therapy, but there is limited information on the correlation among actual (competence) and self-report (perceived) knowledge and skills about EBP. Methods: This cross-sectional study investigated the premise of these associations among 233 Nigerian physiotherapists who completed a previously validated 55-item questionnaire that assessed demographic data, actual and self-report knowledge, skills and resources, attitudes, and barriers about EBP. Result: We found no significant relationship between actual knowledge of EBP and clinical experience (r=.086, p>.05), age (r=.048, p>.05), academic degree (r=.108, p >.05), self-reported knowledge (r=.097, p>.05), and self-reported skills about EBP (r=.095, p>.05). Demographic variables (age, years of clinical experience, and academic degrees) and psychosocial factors (self-reported knowledge, skills and resources, attitudes, and barriers about EBP) are not a significant predictor of actual knowledge of EBP. Conclusion: The physiotherapists perceived that they are competent about EBP but in reality, they are not, and may fail to seek educational resources that will improve their understanding and improve their skills about EBP.
Can prior instruction successfully alter the tackle type executed by a player?

The tackle is the in-game activity with the greatest risk for injury in collision sports. Qualitative match analysis has associated injury risk with tackle technique (e.g. tackle height, head position before contact). This exploratory study used gold-standard three-dimensional (3D) motion capture to investigate whether prior instructions to a tackler to execute different torso tackle types altered their tackle technique. Fifteen amateur-level rugby code players performed four sets of 10 tackle trials after instructions from an expert coach: two Australian National Rugby League (NRL) coaching manual instructions on upper and lower torso tackle height (UpperNRL, LowerNRL); and two novel variants that altered the tackler’s contact with the ball carrier’s upper torso (UpperPop) via a vertical ‘pop action’, or mid-torso (MidTorso) via increasing the contact height to the mid-torso. 3 D motion capture confirmed a favourable ‘head up and forward’ gaze focus on ball carrier before contact and a ‘straight back’ posture was more evident in UpperPop instruction than other instructions, with the least flexion for the head, trunk, trunk-pelvis, thoracolumbar and lumbopelvic (p < 0.01). MidTorso also attained a more optimal ‘head up and forward’ and a ‘straight back’ posture than a LowerNRL (p < 0.001). ‘Leg drive on contact’ revealed ankle, hip (p < 0.01) and thigh angles (p < 0.05) differences, likely to reflect the UpperPop ‘pop action’ instruction than other instructions. For coaches, this study demonstrated that amateur-level rugby-code players could follow instruction from an expert coach to execute tackling techniques within a session. Inclusion of tackle specific coaching instruction training program may be a viable injury reduction strategy.
Design of Ackerman Mobile Robot System Based on ROS and Lidar

An ackerman mobile robot system based on ROS and lidar was developed in this research. The i5 industrial control computer was taken as the core controller, and the Ubuntu system was installed inside, the control core of the driving part was the STM32 microcontroller. Using the external environment information obtained by lidar and IMU sensors, the corresponding SLAM algorithm was developed and designed under the Linux system based on the distributed framework of ROS operating system. Through establishing the feature map of environment, the system can locate position and posture of vehicle body in real time, and generate optimal path according to the given target point automatically identify and avoid surrounding obstacles. According to the state of the robot and the commands of the user, it can realize the functions of human-computer interaction, SLAM map scanning and drawing, Wi-fi remote control, real-time positioning, autonomous navigation, etc. efficiently and quickly.
TWE-WSD: An effective topical word embedding based word sense disambiguation

National Natural Science Foundation of China, Grant/Award Number: 61562054; The Fund of China Scholarship Council, Grant/Award Number: 201908530036; Talents Introduction Project of Guangxi University for Nationalities, Grant/Award Number: 2014MDQD020 Abstract Word embedding has been widely used in word sense disambiguation (WSD) and many other tasks in recent years for it can well represent the semantics of words. However, the existing word embedding methods mostly represent each word as a single vector, without considering the homonymy and polysemy of the word; thus, their performances are limited. In order to address this problem, an effective topical word embedding (TWE)‐based WSD method, named TWE‐WSD, is proposed, which integrates Latent Dirichlet Allocation (LDA) andword embedding. Instead of generating a single word vector (WV) for eachword, TWE‐WSD generates a topical WV for each word under each topic. Effective integrating strategies are designed to obtain high quality contextual vectors. Extensive experiments on SemEval‐2013 and SemEval‐2015 for English all‐words tasks showed that TWE‐WSD outperforms other state‐of‐the‐art WSD methods, especially on nouns.
Optoelectronic simulations for novel light management concepts in Cu(In,Ga)Se2 solar cells

One of the trends making its way through the Photovoltaics (PV) industry, is the search for new application possibilities. Cu(In,Ga)Se2 (CIGS) thin film solar cells stand out due to their class leading power conversion efficiency of 23.35 %, flexibility, and low cost. The use of sub-μm ultrathin CIGS solar cells has been gaining prevalence, due to the reduction in material consumption and the manufacturing time. Precise CIGS finite-difference time-domain (FDTD) and 3D-drift diffusion baseline models were developed for the Lumerical suite and a 1D electrical model for SCAPS, allowing for an accurate description of the optoelectronic behavior and response of thin and ultrathin CIGS solar cells. As a result, it was possible to obtain accurate descriptions of the optoelectronic behavior of thin and ultrathin solar cells, and to perform an optical study and optimization of novel light management approaches, such as, random texturization, photonic nanostructures, plasmonic nanoparticles, among others. The developed light management architectures enabled to push the optical performance of an ultrathin solar cell and even surpass the performance of a thin film solar cell, enabling a short-circuit current enhancement of 6.15 mA/cm2 over an ultrathin reference device, without any light management integrated.
Efficient anonymous authentication scheme for automatic dependent surveillance-broadcast system with batch verification

Automatic Dependent Surveillance-Broadcast (ADS-B) system provides signiﬁcant improvements in air trafﬁc control system such as optimal routing in non-radar environments with a new level of safety and efﬁciency. The ADS-B system is being installed in many aircrafts in recent year. The ADS-B equipped aircraft broadcasts the air traf-ﬁc information to nearby aircraft and ground stations either once or twice per second. Because of the open channel communication atmosphere, the ADS-B system is affected by many security attacks. Many authentication and batch veriﬁcation schemes are available to provide data integrity and source authentication for the ADS-B system. But they are suffering from computational overhead and communication overhead. Hence, an efﬁ-cient anonymous authentication scheme is proposed for the ADS-B system with batch veriﬁcation based on Message Recovery Signature (MRS). The security and performance analysis section ensure that the proposed scheme provides essential security features with less computational and communication overhead comparison with the other existing schemes.
Validation in Young Soccer Players of the Modified Version of the Harre Circuit Test: The Petrucci Ability Test

The evaluation of soccer players’ physical fitness from youth onward is important for monitoring performance and planning training. While health-related factors present valid and reliable tests, the skill-related component should be studied in depth. An interesting test to evaluate the skill-related factors is the Harre circuit test (HTC); unfortunately, this test includes the somersault, an element not present in soccer. The aim of the present study is the validation of the Petrucci ability test (PAT), a variation of the HTC without the somersault for young soccer players. Children and adolescents (age range 10–13 years old) soccer players concluded the 20-m, the HTC and the PAT. To establish the validity of the PAT, correlation analysis has been performed, which presented a p < 0.0001 between PAT and HTC; p < 0.001 between PAT and a 20-m test; and p < 0.0001 between HTC and the 20-m test. The results suggest that the PAT can be a valid substitute for the evaluation of the skills-related components of young soccer players and, consequently, also of athletes and schoolchildren.
Shielding Failure of High-Voltage Substations: A Fractal-Based Approach for Negative and Positive Lightning

A fractal-based approach is presented for the direct-stroke shielding analysis of high-voltage substations. The proposed method considers the effect of lightning polarity and the stochastic nature of the lightning attachment phenomenon. An application to a typical 69 kV substation reveals that shielding failures may occur even if the shielding design is realized with IEEE Std 998-2012 methods. This can be explained by the fact that the shielding design methods adopted by IEEE Std 998 do not consider the effects of lightning polarity and object height on striking distance. In addition, IEEE Std 998 methods adopt a deterministic approach on shielding failure analysis neglecting the branched and tortuous behavior of lightning discharges. Fractal-based simulation results show a considerable dispersion of striking distance and a significantly higher shielding failure probability for downward positive lightning than negative lightning. This work forms a discussion framework on shielding failure analysis following a stochastic approach; this approach may explain unexpected shielding failures, such as those reported in IEEE surveys, and can be used for the direct-stroke shielding design of mission-critical high-voltage substations.
On Sequential-Pattern-Based Intelligent Compilation of Aircraft Assembly Process

The aviation industry which aircraft manufacturing dominates is an important sector to measure a nation’s air power. The application of new technologies to optimize the process, increase the speed and upgrade the quality of airplane assembly, a crucial link in its manufacturing, is an effective method to improve the capacity. The combination of traditional processes and emerging technologies greatly improves its efficiency, reduces its labor costs and promotes the innovation and upgrade of traditional technologies. For aircraft manufacturers, the Assembly Outline (AO) refers to an essential document used for the guidance of the assembly process. Low efficiency and under-structuration of compilation, which is also difficult to upgrade, put a limit on the application of information and digitization technologies and has an impact on the overall airplane production cycle, due to present manual work in quantity and imbalance of informationization. Via sequential-pattern-based data mining introduced in this paper, patterns of AO processes are dug up to form a set based on which it is possible to quickly make a recommendation of the optimal process for the compiler, effectively reducing the duration of compilation and modification and improving the efficiency.
Flexibility‐based operational management of a microgrid considering interaction with gas grid

Power systems have been undergoing signiﬁcant restructuring as a result of increasing independently operated local resources. Consequently, new entities, i.e. microgrids (MGs), are developed, which facilitate the integration of local resources, speciﬁcally renewable energy sources (RESs), into the operation of power systems. Despite many beneﬁts, the integration of RESs could cause severe rampings in the net-load, which would challenge the reliable operation of the system. Therefore, it seems essential that ﬂexible local resources in an MG should be employed to provide ﬂexibility services to the main grid, thus ensuring that ramping in the MG’s net-load would meet the ramping capability in the upper-level system. Accordingly, this study aims to develop an energy management framework to schedule local resources in an MG considering system’s ramping limits. In this regard, the interaction between electricity and gas grid as a potential future ﬂexible resource for energy systems is considered in the developed scheme. Moreover, the chance-constrained methodology is employed to address the uncertainty associated with the operational management of RESs. Finally, the proposed energy management model is analysed from different perspec-tives to show the importance of the contribution of ﬂexible local resources to the efﬁcient improvement of the power system ﬂexibility.
Understanding WiFi Signal Frequency Features for Position-Independent Gesture Sensing

Recent years have witnessed rapid development in the research area of WiFi sensing, which senses human activities in a contactless and non-intrusive manner. One major issue that hinders real-world deployment of these systems is position dependence, i.e., once the human target changes location and orientation, the sensing performance degrades significantly. Existing machine learning based methods aim to solve this problem by either generating high-dimensional features or transfer learning the environment knowledge. However, these methods require significant training effort and yet acquire limited improvement. In this paper, we start by understanding and analyzing the Doppler frequency shift in WiFi sensing. We then develop a WiFi frequency model to quantify the relationship between signal frequency and target position, motion direction and speed for human activities. Based on this theoretical model, we prove that the commonly-used movement speed and motion direction features are position dependent, and further identify movement fragments and relative motion direction changes as two position-independent features. Building upon the frequency model and the position-independent features, we design a suite of position-independent gestures and develop the gesture recognition system accordingly. Evaluation results show that under various conditions (i.e., different locations, orientations, environments, and persons), our system achieves more than 96 percent recognition accuracy without any training, significantly outperforming state-of-the-art machine learning based solutions.
Extracting Influential Nodes for Maximization Influence in Social Networks

Influence maximization (IM) is the process focuses on finding active users who make that maximizes the spread of influence into the network. In recent years, community detection has attracted intensive interest especially in the implementation of clustering algorithms in complex networks for community discovery. In this paper the social network was divided into communities using the proposed algorithm which is called (CDBNN) algorithm, CDBNN stands for Community Discovery Based on Nodes Neighbor. The seed nodes(candidate nodes) were extracted using the degree centrality in each community. The propagates model (PSI) was used to information propagates through the network. Finally, using closeness centrality to extract the influential nodes from the network. Experimental results on the real network are efficient for influence propagates, compared with two known proposals.
Using audio noise for generating random key stream

Steam ciphers systems are widely used in cryptography applications due to low possibility of propagating errors, ease of implementation and high processing speed. A stream cipher is an encryption process where random binary stream keys combine with the plaintext to produce cipher text. The stream cipher systems encrypt bits of plaintext individually by adding bits from a key stream to plaintext bits. The security of a cipher text fully depends on the key stream. Therefore, generating a long unpredictable sequence of binary bits used as the encryption key is the main topic in stream cipher systems. This paper focuses on generating a stream of binary keys using audio noise and subjected the generated keys to several local randomness tests such as; frequency test, serial test, Poker test and Autocorrelation test. The randomness tests show that the generated keys contain good statistical characteristics and high security makes them suitable to be used in stream cipher systems.