bluuebunny/crossref_metadata_2025_split huggingface dataset:
Echocardiographic assessment of brain sparing in small-for-gestational age infants and association with neonatal outcomes
Authors: Shin Ju Ae , Lee Jae Young , Yum Sook Kyung 
Published: June 2023

AbstractBrain sparing is an adaptive phenomenon (redistribution of blood flow to the brain) observed in fetuses exposed to chronic hypoxia, who are at risk of intrauterine growth restriction. Here, we assessed the blood flow distribution during the early neonatal period (< 7 days of life) using echocardiography, and evaluated the impact of brain-sparing on postnatal course and neurodevelopmental outcomes. This retrospective study included 42 small-for-gestational age (SGA) infants [further classified into asymmetric SGA (a-SGA, n = 21) and symmetric SGA (s-SGA, n = 21) groups according to their birth head circumference percentiles], and 1: 2 matched appropriate-for-gestational age (AGA) infants (n = 84) admitted to the neonatal intensive care unit. Left ventricular (LV) stroke volume, LV cardiac output (LVCO), upper body blood flow (UBBF), and UBBF/LVCO ratio (%) were significantly higher in both a-SGA and s-SGA infants than in AGA infants. Both a-SGA and s-SGA groups consisted predominantly of infants with higher UBBF/LVCO (%). A UBBF/LVCO ≥ 58.2% (3rd interquartile range) was associated with a later need for rehabilitative therapy after discharge. In summary, brain-sparing effect may continue during the early postnatal life in SGA infants, and may be a promising marker to detect future adverse neurodevelopmental outcomes.
The Linguistic Input of Fathers of Children Who Are Deaf or Hard of Hearing
Authors: Brock Aleah S. , Hampton Claire E. 
Published: June 2023

Purpose:
This study presents an exploration of facilitative language techniques (FLTs) used by fathers of children who are deaf or hard of hearing (DHH) in the natural environment.

Method:
This investigation utilized the Language ENvironment Analysis (LENA) to collect full-day audio samples from three families with children who were DHH and between 22 and 27 months of age. A total of 6 hr of audio recordings per participant was manually coded for the presence of 10 FLTs used by fathers in the natural environment. These data were compared with FLT use by mothers from the same samples.

Results:
Fathers of children who are DHH used fewer overall FLTs, fewer responsive FLTs, and more directives compared with mothers.

Conclusions:
Results of this analysis indicate that fathers provide less linguistic input to their children who are DHH in the natural environment. Furthermore, their input tends to be directive in nature rather than responsive to the child. Implications for clinical practice are discussed.

Supplemental Material:

https://doi.org/10.23641/asha.23511948
Dynamic adaptive spatio–temporal graph network for COVID‐19 forecasting
Authors: Pu Xiaojun , Zhu Jiaqi , Wu Yunkun , Leng Chang , Bo Zitong , Wang Hongan 
Published: June 2023

AbstractAppropriately characterising the mixed space–time relations of the contagion process caused by hybrid space and time factors remains the primary challenge in COVID‐19 forecasting. However, in previous deep learning models for epidemic forecasting, spatial and temporal variations are captured separately. A unified model is developed to cover all spatio–temporal relations. However, this measure is insufficient for modelling the complex spatio–temporal relations of infectious disease transmission. A dynamic adaptive spatio–temporal graph network (DASTGN) is proposed based on attention mechanisms to improve prediction accuracy. In DASTGN, complex spatio–temporal relations are depicted by adaptively fusing the mixed space–time effects and dynamic space–time dependency structure. This dual‐scale model considers the time‐specific, space‐specific, and direct effects of the propagation process at the fine‐grained level. Furthermore, the model characterises impacts from various space–time neighbour blocks under time‐varying interventions at the coarse‐grained level. The performance comparisons on the three COVID‐19 datasets reveal that DASTGN achieves state‐of‐the‐art results with a maximum improvement of 17.092% in the root mean‐square error and 11.563% in the mean absolute error. Experimental results indicate that the mechanisms of designing DASTGN can effectively detect some spreading characteristics of COVID‐19. The spatio–temporal weight matrices learned in each proposed module reveal diffusion patterns in various scenarios. In conclusion, DASTGN has successfully captured the dynamic spatio–temporal variations of COVID‐19, and considering multiple dynamic space–time relationships is essential in epidemic forecasting.
Robust object tracking via ensembling semantic‐aware network and redetection
Authors: Liu Peiqiang , Liang Qifeng , An Zhiyong , Fu Jingyi , Mao Yanyan 
Published: June 2023

AbstractMost Siamese‐based trackers use classification and regression to determine the target bounding box, which can be formulated as a linear matching process of the template and search region. However, this only takes into account the similarity of features while ignoring the semantic object information, resulting in some cases in which the regression box with the highest classification score is not accurate. To address the lack of semantic information, an object tracking approach based on an ensemble semantic‐aware network and redetection (ESART) is proposed. Furthermore, a DarkNet53 network with transfer learning is used as our semantic‐aware model to adapt the detection task for extracting semantic information. In addition, a semantic tag redetection method to re‐evaluate the bounding box and overcome inaccurate scaling issues is proposed. Extensive experiments based on OTB2015, UAV123, UAV20L, and GOT‐10k show that our tracker is superior to other state‐of‐the‐art trackers. It is noteworthy that our semantic‐aware ensemble method can be embedded into any tracker for classification and regression task.
Optimal power flow analysis considering renewable energy resources uncertainty based on an improved wild horse optimizer
Authors: Hassan Mohamed H. , Kamel Salah , Hussien Abdelazim G. 
Published: June 2023

AbstractIn recent years, electricity networks across the globe have undergone rapid development, especially with the incorporation of various renewable energy sources (RES). The goal is to increase the penetration level of RES in the power grid to maximize energy efficiency. However, the optimal power flow (OPF) problem for conventional power generation with RES integration is highly complex, non‐linear, and non‐convex, and this complexity is further compounded when stochastic RES is integrated into the network. To address this problem, this article proposes an elite evolutionary strategy (EES) based on evolutionary approaches to improve the Wild Horse Optimizer (WHO), creating an enhanced hybrid technique called EESWHO. The proposed technique's effectiveness and robustness were tested on 23 numerical optimization test functions, including seven unimodal, six multimodal, and ten composite test functions. Furthermore, the EESWHO was applied to the modified IEEE‐30 bus test system to demonstrate its supremacy and efficacy in achieving the optimal solution. The simulation results show that the proposed EESWHO algorithm is highly effective and robust in achieving the optimal solution to the OPF problem with stochastic RES. This approach provides a practical solution to the challenges posed by the integration of RES into power networks, allowing for maximum energy efficiency while minimizing system complexity.
Comprehensive condition assessment of circuit breakers in a power network for maintenance scheduling
Authors: Aranizadeh Ali , Shahrtash Seyyed Mohammad , Gholami Ahmad 
Published: June 2023

AbstractEnhancing preventive maintenance (PM) by using condition monitoring of circuit breaker (CB) can reduce maintenance costs, if enough information about the condition of this expensive equipment are provided. Here, using recorded coil current data of CBs in a power system network and on the basis of their calculated failure probability function, an algorithm is developed for comprehensive CB condition assessment. For this purpose, first, CBs are prioritized according to their cumulative failure probability functions. Second, by introducing healthy/reference CBs and comparing them with the CB with the highest priority, the condition of the latter is assessed that whether it needs maintenance or not. At last, by creating two sets of reference CBs with healthy/reference features and/or mechanisms and comparing them with the features and/or mechanisms of the CB with the highest priority, the failure part of the considered CB that needs to be repaired will be identified. The proposed methodology is straightforward, completely rule‐based and relies just on recorded data and the results have enough clarity and reliability.
Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlation
Authors: Sinha Pampa , Paul Kaushik , Chatterjee Sayanti , García Márquez Fausto Pedro , Ogale Jyotsna , Ali Ahmed , Khan Baseem 
Published: June 2023

AbstractDistribution networks frequently experience cross‐country failures (CCFs).This study presents research that demonstrates how Cross‐Correlation may be used to extract distinctive features from faulty current signals, hence providing a threshold‐based technique for fault identification. The most challenging aspect of dealing with HIF syndrome‐related CCFs is recognizing and categorizing them. In this research, the complex, aperiodic, asymmetric, and nonlinear features of the signals generated by CCF with HIF syndrome were recovered using the Cross Correlation method. The low frequencies are filtered out using a high pass filter, leaving only the positive peak and two negative peaks in the vicinity as unique features of the correlogram. In this work, the proposed approach is put to the test on the modified imbalanced IEEE 240 Bus system. The suggested method is assessed through the lens of several different case studies, such as the switching of a capacitor bank, a reactor string, a load, a feeder, the effects of a power swing, nonlinear loads, lightly laden conditions, and measurement noise. The normal and faulty signals can be distinguished by their normalized QRS levels. By selecting the most appropriate sensors using the Jellyfish optimization method, we were also able to ascertain which bus housed CCHIF.
Semantics analysis model based on deep learning for vessel traffic service application
Authors: Han Xue , Pan Mingyang , Liu Zongying , Meng Han , Sun Hui , Zhang Ruolan 
Published: June 2023

AbstractVessel Traffic Service (VTS) significantly improves the navigation efficiency of ports. This paper proposes a model called Joint Extraction of Triples from the VHF Speech (JER‐VHF) to ensure the efficiency of the VTS. Numerous texts are extracted from the Very High Frequency (VHF) speech communication contents and these texts are organized into a dataset named VHFDT. The proposed model's transforming task transforms the voice communication contents of this dataset into a triple representation. VHFDT has a large number of overlapping triples. Therefore, this paper proposes a combined model with three categories to model the entity relations in VHF sentences, including pre‐training Chinese language model for initializing embedding from VHFDT, BiLSTM for rich features, and Multi‐head Attention for focusing on triples. In experimental part, this study uses Precision(P), Recall(R), and F1 to evaluate the accuracy and effectiveness of the proposed method and baseline models. According to experimental results, the proposed model efficiently extracts the key information from complex language environment and achieves better work on relational triple extraction than other baseline models. The model achieved an F1‐score of 83.2% on the overlapping testing data, which is an improvement of 1.8% compared to the second‐best baseline model.
Revealing the ionising star of evolved planetary nebulae
Authors: Weidmann W. A. , Werner K. , Ahumada J. A. , Pignata R. A. , Firpo V. 
Published: June 2023

Context. Planetary nebulae represent a late stage of the evolution of stars of ordinary mass. The nucleus of a planetary nebula, a stellar remnant, is a faint star for which it is usually difficult to gather spectroscopic data. The spectral types of these stars cover a wide range, mainly separated into two large groups, those rich in hydrogen and those that are not. In this complex scenery it is of great importance to increase the number of stars with defined spectral types and physical parameters. In this way, we can improve our actual models of stellar evolution.
Aims. Our main objective is to increase the number of known white dwarfs that are the ionisation sources of planetary nebulae. Our aim is to obtain the spectral type and physical parameters of these stars, which are to be confronted with models of stellar evolution. In this way, we want to increase our knowledge of the final stages of stellar evolution.
Methods. We present Gemini spectra of nine nuclei of faint and extended southern planetary nebulae. The spectra were fitted with models of stellar atmospheres, which allowed the derivation of their atmospheric parameters. In addition, stellar evolution models were used to infer the stars’ mass.
Results. We discovered six hydrogen-rich white dwarfs (spectral types DA and DAO; effective temperatures in the range Teff = 60 000–80 000 K). One of the DAO white dwarfs is probably a new member of only a few known post-red-giant-branch central stars. In addition, we found two hot hydrogen-deficient PG 1159 stars (Teff = 120 000 and 160 000 K). Taken together, this represents a significant increase in the number of known white dwarf central stars. We also discovered an early O(H) star (Teff = 90 000 K).
Modulation depth of the gyrosynchrotron emission as an identifier of fundamental sausage modes
Authors: Cécere M. , Costa A. , Van Doorsselaere T. 
Published: June 2023

Aims. We aim to study the intensity, the modulation depth, and the mean modulation depth of the gyrosynchrotron (GS) radiation as a function of the frequency and the line of sight (LOS) in fast sausage modes.
Methods. By solving the 2.5D magnetohydrodynamics (MHD) ideal equations of a straight coronal loop considering the chromosphere and with typical flaring plasma parameters we analyse the wavelet transform of the density and the GS emission for different radio frequencies and different spatial resolutions, given impulsive and general perturbations with energies in the microflare range.
Results. A wavelet analysis performed over the GS radiation emission showed that a fast fundamental sausage mode of ∼7 s with a first harmonic mode of 3 s developed, for all the initial energy perturbations used. For both the high spatial resolution (central pixel integration) and the low spatial resolution (entire loop integration), the larger the radio frequency, the larger the modulation depth. However, high- and low-resolution integrations differ in that the larger the LOS angle with respect to the loop axis, the larger and smaller the modulation depth, respectively.
Conclusions. Fast MHD modes triggered by instantaneous energy depositions of the order of a microflare energy are able to reproduce deep intensity modulation depths in radio emission as observed in solar events. As the trends of the GS emission previously obtained for a linear and forced oscillation remain present when analysing a more general context, considering the chromosphere and where the sausage mode is triggered by an impulsive, non-linear perturbation, it seems that the behaviour found can be used as observational identifiers of the presence of sausage modes with respect to other quasi-periodic pulsation features. It can be inferred from this that finite-amplitude sausage modes have the potential to generate the observed deep modulation depths.
Rückkehr zum Sport nach Rekonstruktion des vorderen Kreuzbandes – Welche Faktoren beeinflussen die Return to Sport-Entscheidung?
Authors: Achermann Sibylle , Marty Julia , Beck Andreas , Rieger Bertram , Hirschmüller Anja , Baur Heiner 
Published: June 2023

Zusammenfassung
Hintergrund Es ist unklar, welche validen Kriterien herangezogen werden sollen, um eine Freigabe zum Sport (Return to Sport, RTS) nach Rekonstruktion des vorderen Kreuzbandes (VKBR) zu begründen. Die Fragestellung ist, ob das Geschlecht, das Alter, das Outcome der isokinetischen Maximalkraftmessung und des Einbein-Sprungtests (quantitativ/qualitativ) Einfluss auf die Entscheidung für eine Rückkehr zum Sport 9 Monate nach VKBR haben.
Methoden Die vorliegende Studie ist eine retrospektiven Datenanalyse. Die Fragestellung wurde anhand einer multiplen logistischen Regressionsanalyse (MLR) beantwortet. Die abhängige Variable „RTS ja/nein“ basiert auf der Entscheidung des behandelnden Orthopäden 9 Monate (±30 Tage) nach VKBR unter Berücksichtigung der Funktionstests. Der Einfluss folgender Faktoren wurde geprüft: Geschlecht, Alter, Limb Symmetry Index (LSI) der Maximalkrafttests der Knieextensoren und -flexoren bei 60°/s, LSI des Einbein-Sprungtests und die Beurteilung der funktionellen Beinachse bezüglich der Knievalgusstellung zum Zeitpunkt der RTS-Entscheidung.
Resultate 71 Patientendaten wurden in die MLR eingeschlossen. Die Odds Ratio (OR) für eine Sportfreigabe wurde erhöht durch das weibliche Geschlecht (OR 4,808; p=0,035), höhere Werte des LSI der maximalen Knieextensionskraft (OR 1,117; p=0,009) und höhere Werte des LSI des Einbein-Sprungtests (OR 1,125; p=0,020). Das Alter, der LSI der Maximalkraft der Knieflexion und die funktionelle Beinachse (Valgus) hatten keinen Einfluss auf die RTS-Entscheidung.
Schlussfolgerung Das Geschlecht sowie die LSI-Werte der Maximalkraft der Knieextensoren und des Einbein-Sprungtests stehen in Zusammenhang mit RTS nach 9 Monaten. Die Resultate sollen zur Optimierung der Rehabilitation nach VKBR in Betracht gezogen werden. In Zukunft sollten das präoperative Aktivitätslevel und die psychologische Bereitschaft, um in den Sport zurückzukehren, erhoben werden, um dessen Einfluss auf die RTS-Entscheidung überprüfen zu können.
Return to sport after conservative treatment of elbow dislocation in judoka
Authors: Lambert Christophe , Ritzmann Ramona , Geßlein Markus , Bouillon Bertil , Höher Jürgen , Akoto Ralph , Wafaisade Arasch 
Published: June 2023

Abstract
Background Injuries to the elbow are frequent in judo combat, but
studies on down-time and effect on performance after conservative treatments are rare. This
issue is particularly relevant for elbow dislocations in high-performance patients such as
elite athletes. The purpose of this study was to evaluate (1) time-loss and (2) the regained
level of performance in judoka after conservative treatment of simple elbow
dislocation.
Methods In cooperation with the European Judo Union, judoka
were asked to complete a 139-item survey regarding elbow injuries they suffered during their
career. Besides demographics, injury data, diagnosis and treatment options, the athletes were
asked about down-time and reductions in performance level. This study enrolled 108 judoka
with conservative treatment of elbow dislocation out of a population of 5426
volunteers.
Results 69% (n=74) reported a time-loss of less than three
months; 6% reported a time-loss of more than six months. The majority (68%, n=73) reported
that they had returned to their previous performance level, while 22% (n=24) suffered from a
slightly reduced level of performance. In the subgroup of international and national athletes
(n=54), 63% returned to judo after less than three months, with 72% achieving the same level
and 15% reporting a slightly reduced performance level. Level of performance and time lost
after conservative treatment for elbow dislocations were comparable for male and female
judoka.
Conclusion Approximately two out of three judoka returned to
the same level of performance after three months of down-time after undergoing conservative
therapy for simple elbow dislocations. Despite the high performance level of the study
population, conservative treatment of simple elbow dislocation resulted in satisfactory
outcomes. The presented data can guide medical professionals and competitive-level
contact-sport athletes with respect to expectations in the process of returning to
sport.
Ghost Ileostomy Release Down-Our Initial Experience
Authors: Khan Mudassir Ahmad , Baba Arshad , Wani Rouf Ahmad , Mehraj Asif , Parray Fazl Q , Chowdri Nisar Ahmad 
Published: June 2023

Abstract
Background Many publications describe the advantages of the creation of ghost ileostomy (GI) to prevent the need for formal covering ileostomy in more than 80% of carcinoma rectum patients. However, none of the papers describes exactly how to ultimately remove the GI in these 80% of patients in whom it doesn't need formal maturation.
Aim To describe and evaluate the ghost ileostomy release down (GIRD) technique in terms of feasibility, complications, hospital stay, procedure time etc. in patients with low anterior resection/ultra-low anterior resection (LAR/uLAR) with GI for carcinoma rectum.
Method The present was a prospective cohort study of patients with restorative colorectal resections with GI for carcinoma rectum, Postoperatively the patients were studied with respect to ease and feasibility of the release down of GI and its complications. The data was collected, analyzed and inference drawn.
Results A total of 26 patients needed the GIRD and were included in the final statistical analysis of the study. The procedure was done between 7th to 16th postoperative days (POD) and was successful in all patients without the need of any additional surgical procedure. None of the patients required any local anesthetic injection or any extra analgesics. The average time taken for procedure was 5-minutes and none of the patients had any significant difficulty in GI release. There were no immediate postprocedure complications.
Conclusion The GIRD technique is a simple, safe, and quick procedure done around the 10th POD that can easily be performed by the bedside of patient without the need of any anesthesia or additional analgesics.
Workers' Compensation Costs for Occupational Hearing Loss Claims in the United States, 2009–2013
Authors: Masterson Elizabeth A. , Wurzelbacher Steven J. , Bushnell P. Timothy , Tseng Chih-Yu 
Published: June 2023

AbstractThis study estimated the average annual number of U.S. workers' compensation (WC) claims for occupational hearing loss (OHL) and their associated cost and identified the industry/occupation classifications with the highest numbers of OHL claims. The most recent U.S. cost estimate ($242 million) was based on data from one state in 1 year (1991). WC data from the National Council on Compensation Insurance, Inc. (35 states) and two additional individual states were examined, incorporating data from 37 states and the District of Columbia. Costs and numbers of claims were estimated for the 13 missing states to develop estimates for the United States. Sensitivity analyses were also performed to develop ranges for the point estimates. The estimated U.S. average annual OHL claim cost fell within the range of $49 to $67 million during 2009–2013, with a point estimate of $60 million (2013 dollars). The estimated average annual number of OHL claims ranged from 4,114 to 5,986, with a point estimate of 4,965 claims. Based on data available from 36 states and DC, 18 of the 40 industry/occupation classifications with ≥50 OHL claims were in the manufacturing sector. WC data underestimate the true burden of OHL. Most OHL cases are not compensated. WC laws, industry composition and other factors vary widely by state, so estimates must employ data for many states. This study incorporated data from most states and utilized sensitivity and comparative analyses to obtain estimates. Workers in a wide range of industry/occupation classifications need special attention to prevent OHL.