bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-intensity circuit training for improving anthropometric parameters for women from low socioeconomic communities of Sikandarabad: A clinical trial
Authors: Mehmood Sana , Khan Amna , Farooqui Sumaira , Zahoor Al-Wardha , Adnan Qurat Ul Ain , Khan Usman 
Published: October 2022

Background
An alarming trend of sustained physical inactivity has been observed among women in socioeconomically disadvantaged areas, mainly due to the lack of time and high cost of gym facilities. Although physical activity essentially contributes to disease prevention, evidence supporting time-efficient exercise on anthropometric measures is limited. This study aimed to identify the effectiveness of interval-based high-intensity circuit training (HICT) on anthropometric measures and the nature of the relationship between these measures.

Methods
A single-group, quasi-experimental study was conducted in the community park of Ziauddin Hospital at Sikandarabad. Sixty women who were overweight and had sedentary lifestyles were recruited for a six-week HICT-based program conducted at 85%–95% maximum heart rate (MHR) on every alternate day. Outcome measures were assessed at baseline and at 6-weeks including anthropometric parameters (body mass index [BMI], body fat percentage [BF%], and waist-to-hip ratio [WHR]).

Results
The six-week HICT-based program demonstrated a significant reduction in BMI (p<0.001), BF% (p<0.001), and WHR (p<0.001). Reductions in the BMI mean from 27.3±1.3 to 25.1±1.4 and BF% mean from 31.9±2.3 to 27.6±2.4 were observed following 18 sessions of HICT. The effect of age on BF% and WHR was linearly significant (p<0.001) with increasing age (BF%) and WHR.

Conclusion
Interval-based HICT was an effective exercise regimen for improving BMI, BF%, and WHR. Furthermore, the exercise protocol was feasible and well tolerated, with no reported adverse events, and it could be easily implemented in real-world community settings. BF% and WHR were significantly influenced by increasing age; therefore, our findings support the importance of exercise implementation, especially with increasing age, for the maintenance of a disease-free healthy lifestyle.
The Countryside Scenery Reflected in We Both Live in The Same Village by Rabindranath Tagore
Authors: Respatio Christine Resnitriwati 
Published: October 2022

AbstractFor the people who live in a big, crowded city, visiting a countryside or village is something that would make them feel happy. In countryside, it has always beautiful and natural scenery, peaceful atmosphere, cool and clean air and humble, simple lives of villagers. People can walk and ride a horse to go around the objects in a village, for examples flowers and fruits gardens or barley and rice fields. People can swim and bathe in the river, do the activities in the village market with their neighbors and enjoy the harvest season for mango or linseed. The beauty in a village was expressed by Rabindranath Tagore in his poem We Both Live In the Same Village and the writer will analyze that poem through intrinsic elements (imagery, personification and repetition) to understand deeper about the sense of the poem, and extrinsic elements to understand the situation and the characteristic of a country side.Keywords: countryside, flowers, fruits, river, fields
Identifying Characters Using Transitivity: A Stylistics Study of “I Stand Here Ironing”
Authors: Nurhayati Nurhayati 
Published: October 2022

The study is about the application of the transitivity system, one of lexico-grammar used in a Systemic Functional Grammar’s theory, to analyze a literary work “I Stand Here Ironing”. Considering that many previous researchers were interested in studying the short story from literary approach, I purpose to give an alternative perspective of tracking the characterization of the main characters using the SFG theory. The data are the text of “I Stand Here Ironing” by Tillie Lerner Olsen (1961). They are analyzed using the concepts of the transitivity system and field situation. The result shows that the author of the short story used material process more than the other processes to construct that the main characters did activities in the domestic and physical domain. The mental process is used to depict the characters’ feeling and attitude. The relational process is used to characterize the characters explicitly. Related to the socio-cultural context, the analysis comes to the conclusion that the such characterization is constructed to criticize the patriarchal domination in America in the time of publication.Keywords: transitivity system; characterization; field of discourse; feminism literature
Taylor’s series expansions for real powers of two functions containing squares of inverse cosine function, closed-form formula for specific partial Bell polynomials, and series representations for real powers of Pi
Authors: Qi Feng 
Published: October 2022

Abstract
In this article, by virtue of expansions of two finite products of finitely many square sums, with the aid of series expansions of composite functions of (hyperbolic) sine and cosine functions with inverse sine and cosine functions, and in the light of properties of partial Bell polynomials, the author establishes Taylor’s series expansions of real powers of two functions containing squares of inverse (hyperbolic) cosine functions in terms of the Stirling numbers of the first kind, presents a closed-form formula of specific partial Bell polynomials at a sequence of derivatives of a function containing the square of inverse cosine function, derives several combinatorial identities involving the Stirling numbers of the first kind, demonstrates several series representations of the circular constant Pi and its real powers, recovers Maclaurin’s series expansions of positive integer powers of inverse (hyperbolic) sine functions in terms of the Stirling numbers of the first kind, and also deduces other useful, meaningful, and significant conclusions and an application to the Riemann zeta function.
Analysis and control strategy of standalone PV system with various reference frames
Authors: Roy Suchismita , Sahu Pradeep Kumar , Jena Satyaranjan 
Published: October 2022

Abstract
Renewable energy sources like solar power are the more convenient source of renewable energy. Nowadays, increasing the energy demand may create many disturbances in power system distribution. To overcome the necessity of power demand, all are focusing on generation of more energy from clean technologies with increased development in power distribution systems using the renewable energy sources. This work aims to propose a standalone PV system with an LCL filter, with two cascaded feedback control loops with an appropriate controller for three reference frame. This work concerns the topology for three reference frames such as synchronous, standalone, and natural reference frames with the respective controllers (PI and PR). The topology contains two cascaded feedback control loops such as DC-link voltage control loop (PI) cascaded with the internal current loop (PI and PR). These commonly used controllers are implemented in various well-known reference frames for the PV system and their steady-state performance is also evaluated in terms of total harmonic distortion. Finally, the simulation results from a two-stage 5.5 kW, 440 V (L–L), three-phase standalone PV system are provided to confirm the theoretical analysis and effectiveness of the control schemes.
Stability with mixed H
∞/passivity performance analysis of fractional-order neutral delayed Markovian jumping neural networks
Authors: Padmaja Narasimman , Balasubramaniam Pagavathi Gounder 
Published: October 2022

Abstract
A detailed survey of existing works on fractional-order nonlinear systems reveals the fact that practically no results exist on stability or any performance analysis of Markovian jumping fractional-order systems (FOSs) in general. The main reason is the theory of infinitesimal generator used to estimate the derivative of Lyapunov–Krasovskii Functional (LKF) is not well-developed in the fractional domain. This shortage, in theory, is focussed in this manuscript. In this work, we provide a lemma that aids in analyzing the stability of fractional-order delayed systems via integer-order derivative of LKF. Using this lemma, by constructing a new suitable LKF and employing known integral inequalities, linear matrix inequality (LMI)-based sufficient conditions that ensure stability along with H
∞/passive performance of the proposed fractional-order neural networks (FONNs) with Markovian jumping parameters are derived for the first time. Unlike the existing works, the results derived in the present study depend on the fractional order (FO) of the NNs. The importance of such order-dependent criteria is highlighted in numerical examples. Finally, the simulation results are given to show the reliability of the derived conditions.
Realized BEKK-CAW Models
Authors: Asai Manabu , So Mike K. P. 
Published: October 2022

Abstract
Estimating time-varying conditional covariance matrices of financial returns play important role in portfolio analysis, risk management, and financial econometrics research. The availability of high-frequency financial data can provide an additional data source for dynamic covariance modeling. In this paper, we propose to use the information of asset return vector and realized covariance measures simultaneously to develop a new conditional covariance matrix model. We derive the stationary condition of the new model. We use the normal and Wishart distributions to construct the quasi-log-likelihood function. We also consider the variance targeting (VT) method, which plugs in the weighted average of the sample covariance matrix of returns and the sample mean of realized covariance measure for the unconditional covariance matrix, in order to maximize the quasi-log-likelihood function. We show the consistency and asymptotic normality of the quasi-maximum likelihood (QML) and VT estimators. We investigate the finite sample property of these estimators via Monte Carlo experiments. The empirical example for the bivariate data of the Nikkei 225 index and its futures indicates that the first-step VT estimation could have non-negligible effects on the standard errors of the second-step VT estimates.
Spectra and reticulation of semihoops
Authors: Tang Yu Jie , Xin Xiao Long , Zhou Xin 
Published: October 2022

Abstract
In this article, we further study the filter theory of semihoops. Moreover, we use the prime (maximal) filters to construct the prime (maximal) spectrum on semihoops, and prove that the prime spectrum is a compact

T

0

{T}_{0}

topological space and that the maximal spectrum is a compact

T

2

{T}_{2}

topological space. As an application, in order to study the relationship between the spectrum of semihoops and the spectrum of lattices, we introduce the reticulations of semihoops and obtain some related results.
The curious case of Neuropathic Pain and its management: An overview
Authors: Ara Irfat , Maqbool Mudasir 
Published: October 2022

Abstract
Neuropathic pain is a condition that occurs as a result of neural system damage or lesions. It could be peripheral or central neuropathic pain, depending on the location of the damage. Diabetes, spinal cord injury, numerous infections, cancer, and autoimmune illnesses are all potential causes of this condition. According to estimates, chronic pain has a prevalence rate of roughly 3% -17% worldwide. In most cases, neuropathic pain is stated to be “idiopathic” in origin, which means that its specific etiology is unknown; hence, pharmaceutical care of this condition is limited to treating its symptoms. The medications used to treat neuropathic pain fall into three categories: tricyclic antidepressants, gabapentinoids, and serotonin-norepinephrine reuptake inhibitors (SNRIs). Anticonvulsants, opioids, and topical medications are examples of different types of medications. Strong opioids, neurotoxins, and surgical alternatives are also used in treatment. In general, pharmacotherapy is frequently accompanied with accompanied with high doses, which results in a number of side effects. These medications are typically delivered orally, and drug absorption in systemic circulation leads to dispersion throughout the body, resulting in high peripheral circulation and concomitant side effects. Enzymatic degradation reduces bioavailability, while hepatic metabolism converts medicines to inactive metabolites. In such circumstances, an adequate amount of drug is unable to reach the brain due to the blood brain barrier, which hinders drug molecule permeability.
How Does Literacy Affect Speech Processing? Not by Enhancing Cortical Responses to Speech, But by Promoting Connectivity of Acoustic-Phonetic and Graphomotor Cortices
Authors: Hervais-Adelman Alexis , Kumar Uttam , Mishra Ramesh K. , Tripathi Vivek A. , Guleria Anupam , Singh Jay P. , Huettig Falk 
Published: October 2022

Previous research suggests that literacy, specifically learning alphabetic letter-to-phoneme mappings, modifies online speech processing and enhances brain responses, as indexed by the BOLD, to speech in auditory areas associated with phonological processing (Dehaene et al., 2010). However, alphabets are not the only orthographic systems in use in the world, and hundreds of millions of individuals speak languages that are not written using alphabets. In order to make claims that literacy per se has broad and general consequences for brain responses to speech, one must seek confirmatory evidence from nonalphabetic literacy. To this end, we conducted a longitudinal fMRI study in India probing the effect of literacy in Devanagari, an abubgida, on functional connectivity and cerebral responses to speech in 91 variously literate Hindi-speaking male and female human participants. Twenty-two completely illiterate participants underwent 6 months of reading and writing training. Devanagari literacy increases functional connectivity between acoustic-phonetic and graphomotor brain areas, but we find no evidence that literacy changes brain responses to speech, either in cross-sectional or longitudinal analyses. These findings shows that a dramatic reconfiguration of the neurofunctional substrates of online speech processing may not be a universal result of learning to read, and suggest that the influence of writing on speech processing should also be investigated.SIGNIFICANCE STATEMENTIt is widely claimed that a consequence of being able to read is enhanced auditory processing of speech, reflected by increased cortical responses in areas associated with phonological processing. Here we find no relationship between literacy and the magnitude of brain response to speech stimuli in individuals who speak Hindi, which is written using a nonalphabetic script, Devanagari, an abugida. We propose that the exact nature of the script under examination must be considered before making sweeping claims about the consequences of literacy for the brain. Further, we find evidence that literacy enhances functional connectivity between auditory processing areas and graphomotor areas, suggesting a mechanism whereby learning to write might influence speech perception.
Effizienz der deutschen Sparkassen in Zeiten von Niedrigzins und digitaler Transformation
Authors: Thiem Oliver G. , Schiereck Dirk 
Published: October 2022

Zusammenfassung
Das Marktumfeld, in dem Sparkassen agieren, wird herausfordernder. Das Kerngeschäftsmodell gerät seit Jahren unter Druck, und die Institute lavieren zwischen Ertragserosion und Kostendruck. Der effiziente Einsatz von Produktionsfaktoren im Rahmen der bankbetrieblichen Leistungserstellung gewinnt vor diesem Hintergrund mehr an Bedeutung, denn Effizienz ist eine zentrale Voraussetzung für betriebswirtschaftliche Leistungsfähigkeit. Sparkassen sind eng mit dezentralen Wirtschaftskreisläufen verflochten und damit kann die regionale Beschaffenheit von Geschäftsgebieten einen Einfluss auf die Effizienz der Institute haben. Im Fokus dieser Studie liegt die Entwicklung der produktionsökonomischen Effizienz aller öffentlich-rechtlichen Sparkassen im Zeitraum 2009 – 2018. Zusätzlich wird der Einfluss der Regionalität auf die Effizienz empirisch untersucht. Bei der Effizienz im Zeitverlauf wird gezeigt, dass die durchschnittliche technische Effizienz der deutschen Sparkassen weiter gesunken ist. Für die durchschnittliche Kosteneffizienz wird für den Zeitraum nach der Finanzkrise erstmals ein positiver Trendverlauf nachgewiesen, was ein Beleg dafür ist, dass Sparkassen erfolgreiche Kostenmanager im Beobachtungszeitraum waren. Es zeigt sich aber auch, dass im Vergleich zu den effizientesten Sparkassen teils noch erhebliche Ineffizienzen im Sektor bestehen und die Divergenz zwischen effizienten und weniger effizienten Sparkassen zunimmt. Im Hinblick auf die Relevanz externer Umfeldfaktoren wird nachgewiesen, dass die Bevölkerungsdichte und der Wettbewerb einen Einfluss auf die Effizienz haben. Es wird ein positiver Zusammenhang zwischen der Bevölkerungsdichte und der Kosteneffizienz dokumentiert. So besteht ein Stadt-Land-Gefälle unabhängig von der Betriebsgröße, d. h. Sparkassen in bevölkerungsarmen Regionen weisen ein geringeres Effizienzniveau auf als Institute in Ballungsgebieten. Wissenschaftlich neu ist der negative Zusammenhang zwischen dem Wettbewerb und der technischen Effizienz bzw. Kosteneffizienz, welcher auf die Gültigkeit der Effizienz-Struktur-Hypothese schließen lässt. Damit wird belegt, dass entgegen der bisher für die deutschen Sparkassen dominierenden Quiet-Life-Hypothese vom Wettbewerb keine effizienzsteigernde Wirkung ausgeht. Vielmehr fällt es Sparkassen im aktuellen Marktumfeld in wettbewerbsintensiven Regionen schwerer, effizient zu agieren.
Operator Convexity of an Integral Transform with Applications
Authors: Dragomir Silvestru Sever 
Published: October 2022

For a continuous and positive function w(λ), λ > 0 and μ a positive measure on (0, ∞) we consider the following integral transformwhere the integral is assumed to exist for t > 0.We show among others that D(w, μ) is operator convex on (0, ∞). From this we derive that, if f : [0, ∞) → R is an operator monotone function on [0, ∞), then the function [f(0) -f(t)] t-1 is operator convex on (0, ∞). Also, if f : [0, ∞) → R is an operator convex function on [0, ∞), then the function is operator convex on (0, ∞). Some lower and upper bounds for the Jensen’s differenceunder some natural assumptions for the positive operators A and B are given. Examples for power, exponential and logarithmic functions are also provided.
Electric explosion of amorphous iron alloy ribbons in water and in ethylene glycol
Authors: Lázár K. , Varga L. K. , Kovács-Kis V. , Stichleutner S. , Tegze A. , Klencsár Z. 
Published: October 2022

AbstractElectric explosions of amorphous ribbons (Fe45Co45Zr7B3 HITPERM, Fe73.5Si15.5B7Nb3Cu1 FINEMET, and bulk amorphous Fe71.6Mn0.6Si3.4C12.3B12.2) were studied in water and for the bulk amorphous alloy in ethylene glycol, in order to study whether the amorphous state can be preserved in the process. Formed products were collected and analyzed by Scanning Electron Microscopy, X-ray diffraction, Mössbauer spectroscopy, and High-Resolution Transmission Electron Microscopy. Chemical reactions have taken place in large extent between melted and evaporated components of ribbons and the decomposed cooling media. The oxidation reactions removed quickly the glass-forming elements (Zr, B, Si) from the metallic particles. Oxides were formed both on surface of globules and in separate phases from evaporated components. The amorphous state was partly retained in FINEMET, and to a greater extent in bulk amorphous alloy. Chemical interactions were more limited in ethylene glycol and carbon atoms formed from the decomposed coolant contributed to stabilization of amorphous phase.
Graphical abstract
Review on Radio Resource Allocation Optimization in LTE/LTE-Advanced using Game Theory
Authors: OULAOURF SANAA , Hassan Ouahmane Abdelfatteh Haidine, Abdelhak Aqqal, 
Published: October 2022

Recently, there has been a growing trend toward ap-plying game theory (GT) to various engineering fields in order to solve optimization problems with different competing entities/con-tributors/players. Researches in the fourth generation (4G) wireless network field also exploited this advanced theory to overcome long term evolution (LTE) challenges such as resource allocation, which is one of the most important research topics. In fact, an efficient de-sign of resource allocation schemes is the key to higher performance. However, the standard does not specify the optimization approach to execute the radio resource management and therefore it was left open for studies. This paper presents a survey of the existing game theory based solution for 4G-LTE radio resource allocation problem and its optimization.
The electric drill to better use
Authors: Makkar Dheeraj 
Published: October 2022

Bone is a dense, mineral-rich tissue with organic components. Implants such as plates and nails are used to reconstruct fractures. In orthopedic surgery, broad-spectrum of drills ranges from pneumatic to battery-operated to electric drills. Each drill has its own set of benefits and drawbacks.Though the standard of care, the orthopedic battery drill, and pneumatic drills are costly, the expense of maintenance is too high. Orthopedic surgeons frequently employ alternatives such as the Bosch battery drill and a corded electric drill in developing nations. These drills are inexpensive, but they cannot be used for reaming. Furthermore, some models have a constant speed, making them difficult to utilize for reaming.We offer drill modifications to control the speed and use it for reaming. The literature has abundant evidence to dismiss misconceptions concerning electric drill overheating and bone thermal necrosis. There are multiple scientifically documented methods for effectively sterilizing an electric drill. Due to its affordability and ease of maintenance, our innovations, such as speed control and drill cannulation, enable us to adopt it for most trauma surgeries, particularly in developing nations.
An Adaptive Sinusoidal Disturbance Strategy Sparrow Search Algorithm and Its Application
Authors: Zheng Feng , Liu Gang 
Published: October 2022

Abstract
Aiming at the problems of slow convergence speed, insufficient optimization accuracy and easy to fall into local optimum in the sparrow search algorithm, this paper proposes an adaptive sinusoidal disturbance strategy sparrow search algorithm (ASDSSA). Firstly, the initial population quality of the algorithm is improved by fusing cubic chaos mapping and perturbation compensation factors; secondly, the sinusoidal disturbance strategy is introduced to update the position of the discoverers to improve the information exchange ability of the population and the global search performance of the algorithm; finally, the adaptive Cauchy mutation strategy is used to improve the ability of the algorithm to jump out of the local optimal solution. Through the optimization experiments on eight benchmark functions and CEC2017 test functions, as well as the Wilcoxon rank-sum test and time complexity analysis, the results show that the improved algorithm has better optimization performance and convergence efficiency. Further, the improved algorithm is applied to optimize the parameters of the long short term memory network (LSTM) model for passenger flow prediction on selected metro passenger flow datasets. The effectiveness and feasibility of the improved algorithm are verified by experiments.