bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of trunk and shoulder muscle asymmetries during two-armed kettlebell swings: implications for training optimization and injury prevention
Authors: Abuwarda Khaled , Akl Abdel-Rahman 
Published: November 2024

IntroductionGreater side-to-side asymmetry can indicate impaired skill, reduced power production, and an increased risk of injury. Bilateral differences highlight the presence of asymmetries that should be assessed to understand their impact on both injury risk and performance enhancement.ObjectiveThis study aimed to assessment muscle activation and bilateral asymmetry in major trunk and shoulder muscles during a two-armed kettlebell swing exercise.MethodsTwenty-seven participants (age: 24.2 ± 2.6 years; body mass: 82.9 ± 7.7 kg; height: 176.9 ± 7.0 cm) were included in the study. Electromyographic (EMG) data were collected bilaterally from twelve muscles (six muscles per side: anterior deltoid [AD], posterior deltoid [PD], erector spinae longissimus [ESL], erector spinae iliocostalis [ESI], external oblique [EO], and rectus abdominis [RA]).ResultsResults indicated that asymmetry indices for the AD, ESL, ESI, and RA muscles during the upward propulsion phase fell within the determined threshold of 15%. However, the asymmetry indices for the PD and EO muscles exceeded this threshold by 3.36% and 2.62%, respectively. The findings suggest that trunk muscle asymmetries during the kettlebell swing are generally less pronounced than those of the shoulder muscles, particularly during the float phase.ConclusionThese results provide valuable insights into bilateral muscle asymmetry during a two-armed kettlebell swing, which can inform the development of targeted training programs. The methods and findings of this study may further contribute to understanding the effects of muscle balance, symmetry, and injury mechanisms in dynamic movements.
Using Egg Parasitoids to Manage Caterpillars in Soybean and Maize: Benefits, Challenges, and Major Recommendations
Authors: Bueno Adeney de F. , Sutil Weidson P. , Cingolani M. Fernanda , Colmenarez Yelitza C. 
Published: November 2024

The use of egg parasitoids in Augmentative Biological Control (ABC) is a highly effective strategy within the integrated pest management (IPM) of lepidopteran defoliators. Safer than chemical insecticides, these natural antagonists have demonstrated significant efficacy. Trichogramma pretiosum and Telenomus remus, known for their high parasitism rates, are the most extensively used and studied parasitoids for controlling economically important lepidopterous in crops such as soybean and maize. Brazil, a leading adopter of crops expressing Bacillus thuringiensis (Bt) proteins, faces growing field-evolved resistance to Cry proteins in soybean and maize. This resistance, particularly of Rachiplusia nu in soybean and Spodoptera frugiperda in maize, has become more prominent in recent years, increasing insecticide use. Therefore, this article reviews the current status of egg parasitoids adoption in ABC against lepidopteran pests, emphasizing the role of Tr. pretiosum and the potential of Te. remus as sustainable alternatives to chemical insecticides to manage pests in both non-Bt and Bt crops. Additionally, we provide recommendations for using these parasitoids in ABC programs and discuss the challenges that must be addressed to optimize the adoption of biocontrol agents in ABC programs for maximum benefit.
Stress-Inducible Expression of HvABF2 Transcription Factor Improves Water Deficit Tolerance in Transgenic Barley Plants
Authors: Al-Sayaydeh Rabea , Ayad Jamal , Harwood Wendy , Al-Abdallat Ayed M. 
Published: November 2024

Barley (Hordeum vulgare L.), a major cereal crop grown in arid and semi-arid regions, faces significant yield variability due to drought and heat stresses. In this study, the HvABF2 gene, encoding an ABA-dependent transcription factor, was cloned using specific primers from water deficit-stressed barley seedlings. Gene expression analysis revealed high HvABF2 expression in developing caryopses and inflorescences, with significant induction under stress conditions. The HvABF2 coding sequence was utilized to generate transgenic barley plants with both stress-inducible and constitutive expression, driven by the rice SNAC1 and maize Ubiquitin promoters, respectively. Selected transgenic barley lines, along with control lines, were subjected to water deficit-stress experiments at seedling and flag leaf stages under controlled and greenhouse conditions. The transgenic lines exhibited higher relative water content and stomatal resistance under stress compared to control plants. However, constitutive overexpression of HvABF2 led to growth retardation under well-watered conditions, resulting in reduced plant height, grain weight, and grain number. In contrast, stress-inducible expression mitigated these effects, demonstrating improved drought tolerance without adverse growth impacts. This study highlights that the stress-inducible expression of HvABF2, using the SNAC1 promoter, effectively improves drought tolerance while avoiding the negative pleiotropic effects observed with constitutive expression.
Short-term Load Forecasting using Genetic Algorithm based Artificial Neural Network
Authors: Shakir Mohanad 
Published: November 2024

The electrical load Forecasting is considered one of the main and important points for the planning for the future in the electric power networks in both of transmission and distribution systems. In this paper, the genetic optimization algorithm (GA) with the artificial intelligent network (ANN) methods are proposed to forecast the electrical load of the building of Electrical Power Distribution office in the Iraq /Anbar Governorate. Moreover, the optimization method of GA is presented to train the ANN weights using Matlab software with simple programming code. Then, the proposed method is applied to the actual load and the results are compared with that obtained in traditional method such as ANN and regression trees (RG trees) methods. Hence, from the simulation results and the comparison, we can confirm that the proposed method is better than the traditional methods, and it achieved a good agreement with actual load and it provide a good total RMSE of 6% when compared with other methods
Energy Storage Solutions to De-Carbonize the Electric Supply in Jordan
Authors: Aljaradat Abdulraheem 
Published: November 2024

This paper aims to estimate the size of Energy Storage Systems (ESS) required de-carbonizing the electrical network in Jordan. Load profile in addition to the PV and Wind energy profiles were studied and used as input data to the simulation model. Different cases of RE penetration levels as a percentage of load demand were considered and entered to the simulation model as well. Other factors, such as allowed over-generation and ESS efficiency also provided and calculations carried out accordingly. In addition to the technical consideration, an economic analysis approach added to the study. Results show that staying with the current level of RE penetrations, i.e. at PV 11% and W 9% (RE level 20% of load demand) and 5% curtailment, no need to install ESS to absorb the RE intermittency and variability. As RE penetration level increases, the need for ESS becomes necessary, i.e. to reach 100% RE penetration and de-carbonize the electrical network accordingly, an ESS of 138,900.00MWH/ 7,386.57MW PHES would be required at PV 65% and Wind 35% penetration level and 25% curtailment with initial CAPEX investment of JOD 15,367,314,444.10. Economic feasibility study shows that with the current RE energy prices and ESS CAPEX, reaching the 100% RE penetration level would not be the optimum solution as there will be a negative cost impact, unless these prices reduced to a certain level making the solution feasible.
Study on non-local effects in asymmetric overlapping nanowires
Authors: Zhang Xi , Wu Qingzhou , Wang Tao , Li Lei , Li Zewen , Kan Weiwei 
Published: November 2024

Abstract
The nonlocal effects in asymmetric overlapping nanowires are studied. The new phenomena on a very small scale is found. When the scale is reduced to about 0.1 nm, the frequency corresponds to the peak at first redshift and then blueshift, or vice versa. This new phenomenon may relate to the degree of overlapping between the two nanowires. In other words, when the geometry is close to the limit, namely kissing nanowires, a little change in parameters will produce new phenomena.
Perancangan Aplikasi W-JAR sebagai Solusi Persiapan Ujian Kompetensi Keahlian Teknik Komputer Jaringan
Authors: Kurniasari Iin , Halimahtus Mukmina  , Ansori Mubarok  
Published: November 2024

Sektor pendidikan merupakan salah satu sektor pembangunan yang sedang mendapat perhatian besar dari pemerintah dan sangat potensial untuk dapat diintegrasikan dengan kehadiran teknologi informasi. Salah satu sektor pendidikan yang berkembang sekarang ini adalah SMK (Sekolah Menegah Kejuruan). Dalam kelulusannya, SMK menerapkan Ujian Kompetensi Keahlian (UKK) yang merupakan langkah penjaminan mutu pendidikan dan kompetensi pada satuan pendidikan SMK. UKK berbentuk ujian praktik kejuruan wajib yang digunakan untuk mengukur kompetensi siswa selama menempuh pendidikan kejuruan sesuai bidang yang telah dipilih. Tidak sedikit siswa dan siswi SMK mengalami kesulitan dalam menghadapi Ujian Kompetensi Keahlian dikarenakan tidak mempunyai alat untuk mengulang belajar dirumah atau hanya paham materi namun di praktiknya kurang memahami dan kebanyakan persiapan UKK dilakukan dengan melakukan workshop atau praktik langsung di sekolah dalam waktu tertentu.
Berdasarkan momentum di atas, kami berinisiatif membuat Aplikasi yang bertujuan sebagai solusi alat bantu dalam persiapan Ujian Kompetensi Keahlian khususnya dalam Jurusan Teknik Komputer Jaringan. Aplikasi W-Jar diharapkan dapat membantu siswa dalam mempersiapkan diri menghadapi UKK secara efektif dan efisien secara mandiri. Aplikasi ini menyediakan materi pelajaran, latihan soal, dan simulasi ujian yang sesuai dengan kurikulum dan standar kompetensi yang berlaku
Sentiment Analysis on Social Media using Bidirectional Encoder from Transformers (Case Study : Covid – 19 Omicron)
Authors: Pradipta Dody , Widodo Eko 
Published: November 2024

Indonesia tercatat sebagai negara dengan jumlah pengguna internet terbesar di Dunia, sehingga adanya perubahan komunikasi dimasyarakat. Kemajuan jaman membuat interaksi manusia banyak dihabiskan pada media sosial, diantaranya Instagram, facebook, twitter (X) dan Tiktok mendominasi ruang digital. Tingginya interaksi pada sosial media, tidak bisa dipungkiri kerap kali bias, menimbulkan banyak persepsi baik karena subjektivitas, pandangan pribadi, maupun emosi sesaat. Pandemi Covid-19 memaksa pemerintah mencari solusi untuk berbagai masalah yang muncul, namun kebijakan yang diambil seringkali memicu gejolak di dunia maya. Penelitian ini bertujuan untuk melihat seberapa baik performa BERT dalam mengklasifikasikan komentar, BERT (Bidirectional Encoder Representations from Transformers) memanfaatkan pendekatan word embedding untuk memahami konteks kata dalam dua arah. Arsitektur BERT menggunakan transformers, mekanisme yang memberikan makna kontekstual pada kata, membantu BERT dalam mengklasifikasikan komentar. Keunggulan BERT terletak pada pemahaman konteks kata yang mendalam melalui embedding kontekstual, dengan encoder transformers yang membaca kalimat dua arah.. Data yang digunakan adalah komentar pada instagram dan facebook didapatkan data sebanyak 3.522 data. Fokus penelitian ini adalah Covid – 19 varian omicron, topik ini diambil karena polaritas reaksi pada masyarakat. Model pada penelitian ini menggunakan 4 proporsional dataset, untuk melihat kontribusi data latih untuk model yang dikembangkan, sedangkan untuk evaluasi menggunakan dataset yang dilabeli secara manual. Penelitian ini mengungkapkan bahwa BERT dapat digunakan untuk mengklasifikasikan sentimen dengan hasil yang baik, model yang dibangun mendapatkan rentang efisiensi pada epoch 3 sampai 5, meskipun nilai terbaik berada epoch 8, dengan akurasi sebesar 90%. Mayoritas sentimen menunjukkan sentimen negatif ditengarai timbul panik dimasyarakat terkait penanganan Pandemi Covid – 19.
Investigation of the approximate solution of one class of curvilinear integral equations by the projection method
Authors: Khalilov Elnur H. , Aliev Araz R. , Musayev Ali M. 
Published: November 2024

UDC 517.9
We prove the existence theorem for the normal derivative of the double-layer potential and establish the formula for its evaluation. A new method for the construction of quadrature formulas for the normal derivatives of simple- and double-layer potentials is developed, and the error estimates are obtained for the constructed quadrature formulas. By using these quadrature formulas, the integral equation of the exterior Dirichlet boundary-value problem for the Helmholtz equation in two-dimensional space is replaced by a system of algebraic equations, and the existence and uniqueness of the solution to this system is proved. The convergence of the solution of the system of algebraic equations to the exact solution of the integral equation at the control points is proved and the convergence rate of the method is determined.
Про застосування методу усереднення до однієї задачі оптимального керування з нефіксованим часом
Authors: Ogul B. 
Published: November 2024

УДК 517.9
Розглянуто задачу оптимального керування системою диференціальних рівнянь зі швидкоколивними коефіцієнтами та коерцитивним цільовим функціоналом. Кінцевий момент часу не фіксований і визначається як перший момент потрапляння фазової точки на задану замкнену обмежену підмножину фазового простору. Доведено розв'язність цієї задачі та обґрунтовано збіжність оптимальних розв'язків вихідної задачі до оптимального процесу задачі з усередненими параметрами.
The Role of Magnetic Skeleton in Solar Flare Filaments Activity
Authors: Guo Juan , Wang Huaning , Wang Jingxiu , Zhu Xiaoshuai , Huang Jing , Chen Shanqiang , Luo Bingxian , Liu Siqing , Deng Yuanyong , Lin Jiaben 
Published: November 2024

Abstract
We report an M9.3 flare and filaments activities from NOAA Active Region 11261 that are strongly modulated by the 3D magnetic skeleton. Magnetic field extrapolation from the vector magnetic field suggests complex magnetic connectivity and the existence of a high coronal null point southeast of the active region. A small filament over the inversed V-shaped polarity inversion line erupted and resulted in the M9.3 flare associated with a weak ejection in the EUV hot channel and the formation of a relatively large filament. Both the weak ejection and the eruption of the large filament were toward the southeast. Comparative analyses have disclosed the following new facts. First, the trajectory of looptop hard X-ray emission provides solid evidence that the magnetic reconnection site propagated up toward the coronal null point as the flare and filaments erupted. Second, the EVU observations show coronal mass ejection-like eruption features in the ejection region of the magnetic skeleton. Third, the closed fan confined the west end of the large filament and the corresponding flare ribbons. We demonstrate a spatiotemporal relationship between the magnetic skeleton and the flare filament activity. We conclude that the magnetic skeleton can modulate and determine almost all the characteristics of the studied activity in the corresponding scale.
Testing the Accuracy of Spectral Energy Distribution Modeling Techniques Using the NIHAO-SKIRT-Catalog
Authors: Faucher Nicholas , Blanton Michael R. 
Published: November 2024

Abstract
We use simulated galaxy observations from the NIHAO-SKIRT-Catalog to test the accuracy of spectral energy distribution (SED) modeling techniques. SED modeling is an essential tool for inferring star formation histories from nearby galaxy observations but is fraught with difficulty due to our incomplete understanding of stellar populations, chemical enrichment processes, and the nonlinear, geometry-dependent effects of dust. The NIHAO-SKIRT-Catalog uses hydrodynamic simulations and radiative transfer to produce SEDs from the ultraviolet (UV) through the infrared (IR), accounting for dust. We use the commonly used Prospector software to perform inference on these SEDs and compare the inferred stellar masses and star formation rates (SFRs) to the known values in the simulation. We match the stellar population models to isolate the effects of differences in the star formation history, the chemical evolution history, and the dust. For the high-mass NIHAO galaxies (>109.5
M
⊙), we find that model mismatches lead to inferred SFRs that are on average underestimated by a factor of 2 when fit to UV through IR photometry, and a factor of 3 when fit to UV through optical photometry. These biases lead to significant inaccuracies in the resulting specific SFR–mass relations, with UV through optical fits showing particularly strong deviations from the true relation of the simulated galaxies. In the context of massive existing and upcoming photometric surveys, these results highlight that star formation history inference from photometry may remain imprecise and inaccurate and that there is a pressing need for more realistic testing of existing techniques.
Studying the Effect of Radiation Pressure on Evolution of a Population III Stellar Cluster
Authors: Kundu Sukalpa , Dutta Jayanta 
Published: November 2024

Abstract
Recent numerical simulations have shown that the unstable disk within the central regime of the primordial gas cloud fragments to form multiple protostars on several scales. Their evolution depends on the mass accretion phenomenon, interaction with the surrounding medium and radiative feedback respectively. In this work, we use a fast semianalytical framework in order to model multiple protostars within a rotating cloud, where the mass accretion is estimated via a Bondi–Hoyle flow and the feedback process is approximated through radiation pressure. We observe that while some of the evolving protostars possibly grow massive (≈1–75 M
⊙) via accretion and mergers, a fraction of them (≈20%) are likely to be ejected from the parent cloud with a mass corresponding to M
* ≲ 0.8 M
⊙. These low-mass protostars may be considered as the potential candidates to enter the zero-age-main-sequence phase and possibly survive until the present epoch.
Common Envelopes, Gamma Rays, and Sudden Spectral Changes of Novae
Authors: Williams Robert , Ryan Russell , Rudy Richard 
Published: November 2024

Abstract
A common envelope (CE) is proposed as the origin of the early post-outburst spectra of many novae. A simple model is proposed to explain the properties of the CE based on the emission line strengths and an assumed density distribution. Rapid changes in the spectrum during post-outburst decline are suggested as possible evidence for a CE. Time-resolved spectra from the ARAS group show sudden spectral shifts that are correlated with detected γ-ray emission, suggestive of its possible origin on the white dwarf that produces a change in condition within the CE. Episodic mass loss, formation of transient heavy element absorption systems, and dissipation of the CE may possibly be triggered by γ-ray emission.
Joint Observations of Late Universe Probes: Cosmological Parameter Constraints from Gravitational Wave and Type Ia Supernova Data
Authors: Zheng Jie , Liu Xiao-Hui , Qi Jing-Zhao 
Published: November 2024

Abstract
The growing tensions between the early Universe and the late Universe increasingly highlight the importance of developing precise probes for late cosmology. As significant late-Universe probes, Type Ia supernovae (SNe Ia) and gravitational waves (GWs) can provide measurements of relative and absolute distances, respectively. Their complementary nature is likely to break the degeneracies among cosmological parameters, thereby yielding more precise constraints. In this study, we use 43 gravitational-wave sources from the Third LIGO–Virgo–KAGRA Gravitational-Wave Transient Catalog (GWTC-3) and 1590 light curves from Pantheon+ compilation to constrain the dark energy models, as an attempt to achieve precise late-Universe cosmological constraints. For the dark siren GW event, we estimate the corresponding redshift using the binary black hole redshift distribution model. The combination of GW and SNe Ia data could provide the precision on the Hubble constant H
0 and the present matter density Ω
m
of approximately 16% and 8% for the ΛCDM model. If we consider the equation of state of dark energy w, the combination sample constrains the precision of w to approximately 24%. Although the combination of GWs and SNe Ia observations effectively breaks degeneracies among various cosmological parameters, yielding more stringent constraints, the precision of these constraints still does not meet the stringent standards required by precision cosmology. However, it is reasonable to anticipate that, in the near future, the joint observations of GWs and SNe Ia will become a powerful tool, particularly in the late Universe, for the precise measurement of cosmological parameters.
Impact of Systematic Modeling Uncertainties on Kilonova Property Estimation
Authors: Brethauer D. , Kasen D. , Margutti R. , Chornock R. 
Published: November 2024

Abstract
The precise atomic structure and therefore the wavelength-dependent opacities of lanthanides are highly uncertain. This uncertainty introduces systematic errors in modeling transients like kilonovae and estimating key properties such as mass, characteristic velocity, and heavy metal content. Here, we quantify how atomic data from across the literature as well as choices of thermalization efficiency of r-process radioactive decay heating impact the light curve and spectra of kilonovae. Specifically, we analyze the spectra of a grid of models produced by the radiative transfer code Sedona that span the expected range of kilonova properties to identify regions with the highest systematic uncertainty. Our findings indicate that differences in atomic data have a substantial impact on estimates of lanthanide mass fraction, spanning approximately 1 order of magnitude for lanthanide-rich ejecta, and demonstrate the difficulty in precisely measuring the lanthanide fraction in lanthanide-poor ejecta. Mass estimates vary typically by 25%–40% for differing atomic data. Similarly, the choice of thermalization efficiency can affect mass estimates by 20%–50%. Observational properties such as color and decay rate are highly model dependent. Velocity estimation, when fitting solely based on the light curve, can have a typical error of ∼100%. Atomic data of light r-process elements can strongly affect blue emission. Even for well-observed events like GW170817, the total lanthanide production estimated using different atomic data sets can vary by a factor of ∼6.