bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coaches’ Assessment of Players Physical Performance: Subjective and Objective Measures are needed when Profiling Players
Authors: McCormack Sam , Jones Ben , Elliott Dave , Rotheram Dave , Till Kevin 
Published: July 2021

ABSTRACTThis mixed methods study aimed to assess the agreement between coaches ranking of youth rugby league players compared against objective physical performance data and gather coaches’ subjective descriptions of their players performance. Five hundred and eight male rugby league players (U16 n = 255, U18 n = 253) completed a fitness testing battery of anthropometric and physical performance measures. Subsequently, 22 rugby (n = 11) and strength and conditioning (S&C) coaches (n = 11) ranked each player's physical qualities using a 4‐point Likert scale (1 – top 25%; 2–25–50%; 3–50–75%; and 4 – bottom 25%) and described their performance. U16 S&C coaches displayed fair agreement when assessing players body mass (39.3%, κ = 0.20). U18 rugby coaches demonstrated fair agreement for strength and size (42.5%, κ = 0.23) and body mass (48.7%, κ = 0.31) whilst both U18 rugby and S&C coaches showed fair agreement levels for endurance (39.8%, κ = 0.25, 44.3%, κ = 0.29), respectively. Three higher‐order themes were identified from coaches’ descriptions of players including physical, rugby and attitude characteristics when evaluating performance. Overall, coaches cannot accurately assess players physical performance against fitness testing data. Though, findings suggest coaches adopt a multidimensional approach when evaluating players performance. Practitioners within talent development systems should utilise both objective and subjective assessments when making decisions regarding players performance.Highlights
Rugby and S&C coaches cannot accurately assess all aspects of players physical performance.
The greatest assessment agreement was for body mass, strength and size, and endurance, while the poorest were for strength, acceleration, and maximum speed.
Rugby and S&C coaches considered rugby, physical and attitude attributes when evaluating players.
Findings highlight the complex nature of physical profiling. Subjective and objective measures are required to provide an accurate description of players physical performance.
The influence of environmental and task constraint interaction on skilled behaviour in Australian Football
Authors: Teune Ben , Woods Carl , Sweeting Alice , Inness Mathew , Robertson Sam 
Published: July 2021

ABSTRACTThe design of sports practice environments can be informed through data collected and analysed according to principles of the constraints‐led approach. In this study, three manipulated environmental (area per player, number of players and team outnumber) and two task (activity objective and disposal limitations) constraints were measured during professional Australian Football training activities (n = 112) to determine their relationship with skilled behaviour. Linear regression modelling of the five manipulated constraints explained 68% of the variance in disposal frequency but only 22% in skill efficiency. Activities with scoring objectives, limited to kicking or which permitted all disposals, reduced the disposal frequency per player. Activities which permitted all disposals were also weakly, negatively associated with skill efficiency. A Classification Based on Association analysis measured the interaction between manipulated constraints and their relationships with possession time and pressure. When compared to the null model, the analysis improved pressure classification accuracy by 5.9% and did not improve possession time classification accuracy. This indicates skills were often performed under varying spatial and temporal constraints during many of the training activities. This study presents multivariate analytical methods which consider constraint interaction, enhancing how practitioners can evaluate and inform training design in sport.
Neuropathological effects of chronically implanted, intracortical microelectrodes in a tetraplegic patient
Authors: Szymanski Linda J , Kellis Spencer , Liu Charles Y , Jones Kymry T , Andersen Richard A , Commins Deborah , Lee Brian , McCreery Douglas B , Miller Carol A 
Published: July 2021

Abstract

Objective. Intracortical microelectrode arrays (MEA) can be used as part of a brain–machine interface system to provide sensory feedback control of an artificial limb to assist persons with tetraplegia. Variability in functionality of electrodes has been reported but few studies in humans have examined the impact of chronic brain tissue responses revealed postmortem on electrode performance in vivo. Approach. In a tetraplegic man, recording MEAs were implanted into the anterior intraparietal area and Brodmann’s area 5 (BA5) of the posterior parietal cortex and a recording and stimulation array was implanted in BA1 of the primary somatosensory cortex (S1). The participant expired from unrelated causes seven months after MEA implantation. The underlying tissue of two of the three devices was processed for histology and electrophysiological recordings were assessed. Main results. Recordings of neuronal activity were obtained from all three MEAs despite meningeal encapsulation. However, the S1 array had a greater encapsulation, yielded lower signal quality than the other arrays and failed to elicit somatosensory percepts with electrical stimulation. Histological examination of tissues underlying S1 and BA5 implant sites revealed localized leptomeningeal proliferation and fibrosis, lymphocytic infiltrates, astrogliosis, and foreign body reaction around the electrodes. The BA5 recording site showed focal cerebral microhemorrhages and leptomeningeal vascular ectasia. The S1 site showed focal tissue damage including vascular recanalization, neuronal loss, and extensive subcortical white matter necrosis. The tissue response at the S1 site included hemorrhagic-induced injury suggesting a likely mechanism for reduced function of the S1 implant. Significance. Our findings are similar to those from animal studies with chronic intracortical implants and suggest that vascular disruption and microhemorrhage during device implantation are important contributors to overall array and individual electrode performance and should be a topic for future device development to mitigate tissue responses. Neurosurgical considerations are also discussed.
The Dynamics of an Eco-Epidemiological Model of three species with Holling type-II and Type-IV functional responses
Authors: Hariprasad S. , Srinivas M. A. S , Phani Kumar N. , Praveenkumar K. 
Published: July 2021

Abstract
In this paper, a prey-predator eco-epidemiological model with susceptible and diseased prey is constructed and investigated. The existence, uniqueness and boundedness of the solution of the system are studied. The conditions for the local and global stability of coexistence steady state are examined. At last, the mathematical results are interpreted with the help of numerical simulations.
Quasilinear p(x)- Laplacian parabolic problem: upper bound for blow-up time
Authors: Lakshmipriya N , Gnanavel S 
Published: July 2021

Abstract
This paper presents a study of blow-up of solutions to a quasilinear p(x)-Laplacian problem related to the equation

z

t

(
x
,
t
)
=

Δ

p
(
x
)

z
(
x
,
t
)
+
g
(
z
(
x
,
t
)
)

We use a condition on the nonlinear function g(z) given by,

ς

∫

0

z

g
(
s
)
d
s
⩽
z
g
(
z
)
+
η

z

p
(
x
)

+
μ
,
z
>
0

We extend the existing results on blow-up for a nonlinear heat equation to variable exponent case and establish an upper bound for the blow-up time with the help of concavity method.
Linear and non-linear magneto-convection in couple stress fluid with non-classical heat conduction law
Authors: Thomas Maria , Pranesh S , Sangeetha George K 
Published: July 2021

Abstract
A theoretical examination of the thermal convection for a couple stress fluid which is electrically conductive and possessing significant thermal relaxation time with an externally applied magnetic field is carried out. Fourier’s law fails when fluids are subjected to rapid heating or when it is confined and in the case of nano-devices. A frame invariant constitutive equation for heat flux is considered. The linear analysis is carried out implementing a normal mode solution and the non-linear stability of the system is analyzed using a double Fourier series. The analysis of the transfer of heat is determined in terms of the Nusselt number.
Energy and information analysis for confined H atom in harmonic environment
Authors: Mukherjee Neetik , Roy Amlan K. 
Published: July 2021

Abstract
Over the past two decades, constrained quantum systems have arisen to be a field of considerable importance in physical, chemical and biological sciences. In this work, we have investigated the behavior of a confined H atom inside a harmonic environment:

V
(
r
)
=
−

1

r

+

(

r

r

c

)

2

. The eigenvalue equation is solved using a generalized Legendre pseudospectral method, which offers an optimal, non-uniform spatial discretization. By means of a symmetrization technique and a non-linear mapping, a symmetric eigenvalue equation is obtained. A detailed energy analysis reveals that (a) for all the states, energy values decrease with growth in confinement radius, rc
(b) for fixed number of nodes, it grows with rise in l, and (c) at a fixed n, it decreases with progress in l. Interestingly, the energy arrangement of various quantum states is found to be very different from that in a free H atom. A general rule has been proposed to understand the energy ordering pattern. Furthermore, we have analyzed some information-based quantities like Shannon information entropy, Fisher information and Onicescu energy, in position and momentum spaces for this soft, impenetrable stressed system. These are examined with respect to rc
as well as n, l quantum numbers. Additionally, the Compton profile and Compton entropy have also been explored here.
A MAP/PH/1 Production Inventory Model with Perishable Items and Dependent Retrials
Authors: Jose K P , Reshmi P S 
Published: July 2021

Abstract
This article studies a perishable inventory system with a production unit. The production process is governed by (s, S) policy and it is exponentially distributed. The primary arrival follows Markovian arrival process(MAP) and the service time is phase-type distributed random variable. The inventoried items are subject to decay exponentially with a linear rate. A newly arriving customer realizes that system is running out of stock or server busy either moves to infinite waiting space with a pre-assigned probability or exit system with complementary probability. Customers in the waiting space make retrials to access the free server at a linear rate. If the system is running out of stock or the server is busy upon retrial, customers go back to orbit with different pre-defined probabilities according to the level of inventory or exit the system with corresponding complementary probabilities. The system is analysed using Matrix Analytic Method(MAM) and the findings are numerically illustrated.
Weak order convergence of fixed point iterations of contraction mappings on cone metric spaces
Authors: Ganesa Moorthy C. , Siva G. 
Published: July 2021

Abstract
In this article, some fixed point theorems of contraction mappings on cone metric spaces are obtained. Moreover, the concept of weak convergence in metric spaces is extended to cone metric spaces, and some results on weak order convergence of fixed point iterations of various types of contraction mappings on cone metric spaces are obtained.
Cost Analysis of M/M/1/N queue with working breakdowns and a two-phase services
Authors: Vijayalakshmi V. , Kalidass K. , Deepa B. 
Published: July 2021

Abstract
In this article, we analyze the finite capacity Markovian queueing model with working breakdowns and a two-phase service. The server provides the primary service as well as the secondary elective service. The cost optimization problem is to find out the minimum cost per unit time by a direct search method to optimize service rates.
Hexagon Hesitant Fuzzy Multi – Attribute Decision Making Based On TOPSIS
Authors: Johnson Savarimuthu S , Kowsalya S 
Published: July 2021

Abstract
In this paper hexagon hesitant fuzzy set is used to solve the higher order uncertainties with TOPSIS method. Hexagon Hesitant Fuzzy Multi Attribute Decision Making problems faced by the farmer who plant monsoon crops in Villupuram District.
Mid-units in duo seminearrings
Authors: Manikandan G , Perumal R 
Published: July 2021

Abstract
In this paper we introduce the concept of mid-units in seminearrings. We obtain some results concerning mid-units in seminearrings. In particular, we study the relationship between mid-units and idempotents in seminearrings. We derive a necessary and sufficient condition for duo seminearrings to have a mid-unit.
A STUDY ON SOME NAMED GRAPHS TO FIND THE MINIMUM SPANNING TREE (MST) USING GREEDY ALGORITHMS
Authors: Arokiamary A , Preethi B 
Published: July 2021

Abstract
In this paper, Greedy Algorithms such as Kruskal’s, Prim’s, Boruvka’s, Reverse-delete Algorithm were applied on different types of graphs like Mobius-Kantor graph, Durer graph, Golomb graph to find the (MST).
Detection and classification of nutrient deficiencies in plants using machine learning
Authors: Jose Anu , Nandagopalan S , Ubalanka Vidya , Viswanath Dhanya 
Published: July 2021

Abstract
Agriculture is the major factor contributing to Indian Economy. According to the current statistics, its contribution to GDP sector is 17.9%. Technical advancement in agricultural domain will produce more agricultural products without any wastage of money, time and manpower. Nutrients play a major role in plant growth. Lack of nutrients leads to reduced crop yield and plant growth. In this work, we are trying to create an artificial neural network model to recognize and classify the nutrient deficiency in tomato by examining the leaf characteristics. This will help farmers to adjust the nutrient supply to the plant. If soil lacks a specific nutrient, it will reflect in the physical characteristics of a leaf. The color and shape of a leaf are the two major features used for identifying the nutrient deficiency. The comparison of different segmentation schemes like hue based and threshold based schemes shows their influence in the performance of the proposed system. The influence of different activation functions in the artificial neural network is also studied in this work. The results show that the proposed method was able to classify and identify nutritional deficiencies with high accuracy.
Mathematical modeling on minimizing the waiting time in (i,j) preemptive priority queueing system
Authors: Geetha S , Ramesh Kumar B 
Published: July 2021

Abstract
In this paper, we analyze the waiting time in two stage preemptive priority queueing system. The service time considered here is k-phase Erlang distribution. We have assign the priority server to the emergency customer without affecting the regular priority unit. It is possible only if the servers are independent. In this case, we derive the steady state probability of the waiting time customers in ordinary and priority unit. A numerical example is included.
Vk- Super Vertex In-Magic Labelings of Directed Graphs
Authors: Mutharasu Sivagnanam , Mary Bernard N. , Kumar Duraisamy 
Published: July 2021

Abstract
Let D be a digraph of order p and size q. For an integer k ⩾ 1 and ν ∈ V(D), let

∑

e
∈

E

k

(
v
)

f
(
e
)

where Ek
(v) is the set of all in-arcs which are at distance at most k from ν. A V

k
-super vertex in-magic labeling (Vk
-SVIML) is an one-to-one onto function f : V(D) ∪ A(D) → {1,2…, P + q} such that f(V(D)) = {1,2…, p} and for every ν ∈ V(D), f(ν) + ω
k(ν) = M for some positive integer M. A digraph that admits a V

k
-SVIML is called V

k
-super vertex in-magic (V

k
-SVIM). In this paper, we study some properties of V

k
-SVIML in digraphs. We characterized the digraphs which are V

k
-SVIM. Also, we find the magic constant for Ek
-regular digraphs. Farther, we characterized the unidirectional cycles and union of unidirectional cycles which are V
2-SMM.
Compatibility and Binary Correlations of Fibonacci Partial Words
Authors: Krishna Kumari R. , Arulprakasam R. , Dare V.R. 
Published: July 2021

Abstract
The sequences of Fibonacci words plays an important role in formal language theory and combinatorics on words. Fibonacci partial words, arrays and their combinatorial properties such as palindromes and primitivity was established. In this paper, we extend some fundamental results about Fibonacci words to Fibonacci partial words such as compatibility, periodicity and also binary correlations which turns out to be an effective technique of portraying sets of periods of Fibonacci partial words briefly with comprehensive scope.
Group of L-homeomorphisms and permutation groups
Authors: Sini P 
Published: July 2021

Abstract
A subgroup G of the symmetric group S(P ) of all permutations of a set P is called L
f
-representable on P if there is an L-topology δ on P with the group of L-homeomorphisms of (P,
δ) = G. In this paper we study the L
f
-representability of some subgroups of the symmetric group.
Fuzzy logic controller based ship navigation system
Authors: Sethuramalingam T K 
Published: July 2021

Abstract
This research work deals with more proficient and at ease to design the fuzzy logic controller (FLC) meant for course-changing. A new system in tuning a rule base in fuzzy controller system. Agreeing to the modification status of system error, the proposed real-time tuning algorithm is used in tuning the subsequent portion of fuzzy values, later the rule base is controlled. This proposed work also links the more performance of FLC at several working situations with conventional PID controller. In our proposed method we joined the PID with Fuzzy logic to build the strong and adaptive controller. The Simulation results are valuable to demonstrate this method.
Q-Pythagorean fuzzy soft expert set and its application in multi-criteria decision making process
Authors: Chinnadurai V. , Arulselvam A. 
Published: July 2021

Abstract
In this paper, we first introduce the concept of Q-Pythagorean fuzzy soft expert set(QPFSES) which combines Pythagorean fuzzy set and soft set expert set. We also define some operations namely complement, union, intersection and study some of their properties. Further an approach for solving multi-criteria decision making (MCDM) problem is explored by applying Q-Pythagorean fuzzy soft expert set and an example is provided to illustrate the application of the proposed method.
EXACT VALUES OF THE ATES-DOMINATION NUMBER OF SOME SPECIALIZED TYPES OF GRAPHS
Authors: Anuthiya S. , Mahadevan G. 
Published: July 2021

Abstract
Recently, G. Mahadevan et.al. proposed the idea of ATES domination number of a graph. In [6] A set S ⊆ V is said to be At most twin extendable separated dominating set, if for every vertex 1 ≤ |N(V) ∩ S| ≤ 2, v ∈ V − S and < V − S > is a perfect matching. The minimum cardinality taken over all At most twin extendable separated dominating sets is called At most twin extendable separated domination number of a graph and it is denoted by ATES (G). In this article, we analyze this number for some specializes types of graphs.
Mathematical Modeling on Blood flow through a stenosed artery with Heat Transfer under the Impact of Slip condition
Authors: Karthikeyan D. , Kavitha V. , Sathishkumar R. 
Published: July 2021

Abstract
This paper analyzed the heat transfer with impact of slip condition an oscillatory blood flow through a stenosed artery. We derive the equations for the mixed convection problem of blood flow as nonlinear partial differential equations and the exact solutions solved by analytically. The Effects of various parameters particularly magnetic field on the blood flow through stenosis have been examined. The computational results are presented graphically for the temperature, velocity, flow rate and skin friction.
A hybrid technique for intelligent bank security system based on blink gesture recognition
Authors: Bakunah Raed Awadh , Mohammed Baneamoon Saeed 
Published: July 2021

Abstract
Enhancement of bank security system plays an important role at the present time due to increasing attempts to expose it to many infringements by criminals. This paper proposes a hybrid technique of amplitude and duration to recognize its blink gestures to increase the accuracy of the human security system’s interaction for intelligent bank security, as this hybrid technique implemented analyzing of face, facial landmark detection, and the duration of the eye aspect ratio (EAR) for blink processes. The proposed hybrid technique is evaluated by experimenting a number of blink gesture with two eyes obtained from web camera and the results shows better and more effective analysis and provide high security bank system.
Simulation of InGaAs-Based Planar Nanodevices As Terahertz Rectifiers
Authors: Rahman Imran , Kasjoo Shahrir Rizal , Singh Arun K. 
Published: July 2021

Abstract
A planar nanodevice, known as the self-switching diode (SSD), has a non-linear current-voltage characteristic that resembles a typical diode behaviour. Unlike other conventional diodes that depending on barrier junction or gate, SSD utilized its L-shaped trenches to exhibit non-linear I-V behaviour, which can be exploited for high-frequency operations. This paper presents technology computer-aided design (TCAD) rectification studies of two InGaAs-based SSDs connected in parallel with similar/different length operating at sub-terahertz frequencies and at zero bias. As expected, the combination of SSDs with the shortest length possess the highest cut-off frequency, and in this case, at approximately 0.35 THz. This is comparable with the recent proposed hybrid structure of SSD and planar barrier diode (SSD/PBD). In fact, it has lower leakage current than SSD/PBD which can reflect to a better rectification performance.
IoT Based Smart Agriculture Monitoring, Automation and Intrusion Detection System
Authors: Suhaimi Ahmad Faisol , Yaakob Naimah , Saad Sawsan Ali , Sidek Khairul Azami , Elshaikh Mohamed Elobaid , Dafhalla Alaa K.Y. , Lynn Ong Bi , Almashor Mahathir 
Published: July 2021

Abstract
Manual irrigation is still widely used in agricultural field using traditional drip and can watering. However, traditional irrigation systems are inefficient and inexact, leading to either insufficient or excessive watering. Moreover, it is difficult for farmers to predict suitable quantities at the appropriate time. Manual monitoring of the crop field may also lead to human error and is potentially risky for rural areas. Farmers may also not be aware of intrusions if they are not on location. Therefore, this project is designed to develop a smart monitoring and automated irrigation system to provide not only efficient water consumption based on specific conditions, but also enables real-time monitoring of the environment. Furthermore, this system prevents damage to plants and reduces the likelihood of plant theft. This system uses NodeMCU ESP32 as a microcontroller that collects environmental data such as humidity, temperature, soil moisture levels from sensors. The NodeMCU is integrated with a relay and RTC module to irrigate plants at specific times and is also equipped with a passive infrared sensor to detect intruders near the crop-field. Upon detection, an ESP32 camera is used to automatically capture the current conditions and farmers will be subsequently notified. Warnings are also sent to farmers upon detection of unwanted circumstances such as extreme temperature, which could prevent instances of open burning. The utility of the developed prototype is evident in the way it automatically irrigates the crop field without human intervention. Farmers may monitor and manually control the irrigation process using an attached Android application. Additionally, they may manually activate a buzzer warn off any potential malicious actors.