bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel dual-pooling attention module for UAV vehicle re-identification
Authors: Guo Xiaoyan , Yang Jie , Jia Xinyu , Zang Chuanyan , Xu Yan , Chen Zhaoyang 
Published: January 2024

AbstractVehicle re-identification (Re-ID) involves identifying the same vehicle captured by other cameras, given a vehicle image. It plays a crucial role in the development of safe cities and smart cities. With the rapid growth and implementation of unmanned aerial vehicles (UAVs) technology, vehicle Re-ID in UAV aerial photography scenes has garnered significant attention from researchers. However, due to the high altitude of UAVs, the shooting angle of vehicle images sometimes approximates vertical, resulting in fewer local features for Re-ID. Therefore, this paper proposes a novel dual-pooling attention (DpA) module, which achieves the extraction and enhancement of locally important information about vehicles from both channel and spatial dimensions by constructing two branches of channel-pooling attention (CpA) and spatial-pooling attention (SpA), and employing multiple pooling operations to enhance the attention to fine-grained information of vehicles. Specifically, the CpA module operates between the channels of the feature map and splices features by combining four pooling operations so that vehicle regions containing discriminative information are given greater attention. The SpA module uses the same pooling operations strategy to identify discriminative representations and merge vehicle features in image regions in a weighted manner. The feature information of both dimensions is finally fused and trained jointly using label smoothing cross-entropy loss and hard mining triplet loss, thus solving the problem of missing detail information due to the high height of UAV shots. The proposed method’s effectiveness is demonstrated through extensive experiments on the UAV-based vehicle datasets VeRi-UAV and VRU.
Immunogenic cell death-related classification reveals prognosis and effectiveness of immunotherapy in breast cancer
Authors: Zhu Lei , Wu Yanmei , Zhao Haichun , Guo Zicheng , Bo Biao , Zheng Li 
Published: January 2024

AbstractLack of specific biomarkers and effective drug targets constrains therapeutic research in breast cancer (BC). In this regard, therapeutic modulation of damage-associated molecular patterns (DAMPs)-induced immunogenic cell death (ICD) may help improve the effect of immunotherapy in individuals with BC. The aim of this investigation was to develop biomarkers for ICD and to construct ICD-related risk estimation models to predict prognosis and immunotherapy outcomes of BC. RNA-seq transcriptome information and medical data from individuals with BC (n = 943) were obtained from TCGA. Expression data from a separate BC cohort (GEO: GSE20685) were used for validation. We identified subtypes of high and low ICD gene expression by consensus clustering and assessed the connection between ICD subtypes and tumor microenvironment (TME). In addition, different algorithms were used to construct ICD-based prognostic models of BC. BC samples were categorized into subtypes of high and low ICD expression depending on the expression of genes correlated with ICD. The subtype of ICD high-expression subtypes are correlated with poor prognosis in breast cancer, while ICD low-expression subtypes may predict better clinical outcomes. We also created and verified a predictive signature model depending on four ICD-related genes (ATG5, CD8A, CD8B, and HSP90AA1), which correlates with TME status and predicts clinical outcomes of BC patients. We highlight the connection of ICD subtypes with the dynamic evolution of TME in BC and present a novel ICD-based prognostic model of BC. In clinical practice, distinction of ICD subtype and assessment of ICD-related biomarkers should help guide treatment planning and improve the effectiveness of tumor immunotherapy.
Factors influencing vitamin B6 status in domestic cats: age, disease, and body condition score
Authors: Chu Vy , Fascetti Andrea J. , Larsen Jennifer A. , Montano Maria , Giulivi Cecilia 
Published: January 2024

AbstractLimited studies are available on vitamin B6 status in domestic cats. To this end, we evaluated glutamate–oxaloacetate transaminase (GOT) activity in hemolysates with and without pyridoxal 5′-phosphate addition in two feline populations: a cohort of 60 healthy, domestic (sexually intact and specific pathogen-free) cats maintained under strictly controlled conditions with appropriate diets housed at the Feline Nutrition and Pet Care Center, and a cohort of 57 cats randomly selected between December 2022 to January 2023 that visited the Veterinary Medicine Teaching Hospital to seek care under different circumstances. The GOT activity expressed as the ratio with and without pyridoxal 5′-phosphate addition (primary activation ratio; PAR) decreased significantly with age in the healthy cohort. The PAR values normalized to age established a cut-off for vitamin B6 deficiency in both cohorts, identifying 17 of 101 animals as vitamin B6 deficient. Using machine learning, a partition-based model (decision tree) was built to identify the most important factors that predicted vitamin B6 deficiency while using the resulting tree to make predictions for new observations. This analysis, performed with all 101 cats, revealed that the diagnosis of an infectious, chronic or acute condition (0.55) was the main contributor, followed by age (0.26), and body condition score (optimal-overweight; 0.19). Thus, our study supports that vitamin B6 supplementation may be indicated in junior to adult animals diagnosed with an infectious, chronic, or acute conditions or healthy cats with body weight ranging from optimal to overweight. In older cats, even if healthy, underweight to optimal cats appear to be at risk of vitamin B6 deficiency.
Laparoscopic ureteroneocystostomy with bladder flap for benign ureteral stenosis: our initial experience
Authors: Zhang Zhaolin , Huang Ruohui , Xie Tianpeng , Zeng Qingming , Liu Linwei , Zou Xiaofeng , Zhang Guoxi , Yuan Yuanhu , Wu Gengqing , He Zhihua , Wu Yuting , Xu Hui 
Published: January 2024

AbstractTo present our experience with laparoscopic ureteroneocystostomy with bladder flap (LUCBF) for treating benign ureteral stenosis and evaluate its feasibility and efficacy. The clinical data of 27 patients with benign ureteral stenosis who underwent LUCBF were retrospectively analyzed. After identification and excision of the ureteral stenosis segment, the healthy ureteral stump was dissected and incised longitudinally. A U-shaped or spiral bladder flap was harvested from the anterolateral bladder wall for ureteroplasty. All patients underwent LUCBF successfully, including 14 patients were combined with psoas hitch technique, between 90 and 220 min (median, 155 min). The median length of ureteral defect was 6 cm (range, 5–17 cm). The median blood loss was 40 ml (20–150 ml). The median indwelling time of double-J stent was 8 weeks (range, 4–8 weeks). Five patients (10.6%) suffered postoperative complications during the follow-up period (range, 12–48 months), including fever, hematuria, urinary tract infection and recurrent stenosis. The success rate was 96.3% (26/27). Patients with long ureter defects had longer operative time and more blood loss than short ureter defects. LUCBF was a safe and feasible technique for benign ureteral stenosis. Long ureter defect was related to longer operative time and more blood loss.
A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT
Authors: Abdaljaleel Maram , Barakat Muna , Alsanafi Mariam , Salim Nesreen A. , Abazid Husam , Malaeb Diana , Mohammed Ali Haider , Hassan Bassam Abdul Rasool , Wayyes Abdulrasool M. , Farhan Sinan Subhi , Khatib Sami El , Rahal Mohamad , Sahban Ali , Abdelaziz Doaa H. , Mansour Noha O. , AlZayer Reem , Khalil Roaa , Fekih-Romdhane Feten , Hallit Rabih , Hallit Souheil , Sallam Malik 
Published: January 2024

AbstractArtificial intelligence models, like ChatGPT, have the potential to revolutionize higher education when implemented properly. This study aimed to investigate the factors influencing university students’ attitudes and usage of ChatGPT in Arab countries. The survey instrument “TAME-ChatGPT” was administered to 2240 participants from Iraq, Kuwait, Egypt, Lebanon, and Jordan. Of those, 46.8% heard of ChatGPT, and 52.6% used it before the study. The results indicated that a positive attitude and usage of ChatGPT were determined by factors like ease of use, positive attitude towards technology, social influence, perceived usefulness, behavioral/cognitive influences, low perceived risks, and low anxiety. Confirmatory factor analysis indicated the adequacy of the “TAME-ChatGPT” constructs. Multivariate analysis demonstrated that the attitude towards ChatGPT usage was significantly influenced by country of residence, age, university type, and recent academic performance. This study validated “TAME-ChatGPT” as a useful tool for assessing ChatGPT adoption among university students. The successful integration of ChatGPT in higher education relies on the perceived ease of use, perceived usefulness, positive attitude towards technology, social influence, behavioral/cognitive elements, low anxiety, and minimal perceived risks. Policies for ChatGPT adoption in higher education should be tailored to individual contexts, considering the variations in student attitudes observed in this study.
Observation of Plasmonics Talbot effect in graphene nanostructures
Authors: Farmani Ali , Omidniaee Anis 
Published: January 2024

AbstractWe report on the theoretical models of the plasmoincs Talbot effect in graphene nanostructure. The Talbot effect for the plasmonics applications in the IR range is theoretically studied and the respective Talbot effect for the novel advanced plasmonics structures are numerically investigated for the first time. It is shown that the metamaterial structures with periodic grating configuration represents a complex three-dimensional lattice of beamlet-like graphene plasmonics devices. The calculated results agree well with the experimental ones. The results obtained can be used to create and optimize the structures considering diffraction limit for a wide range of application areas. Effective focusing of plasmonic waves with exact focal spots and a subwavelength full width at half maximum can be obtained by using periodic graphene grating.
A streamlined user grouping in downlink NOMA systems
Authors: Hai Ngo Thanh , Uyen Nguyen Thi Xuan , Le Khoa Dang 
Published: January 2024

AbstractReducing SIC operations and interference while maintaining the same radio resources for users in a cluster is a potential research direction in non‐orthogonal multiple access (NOMA) systems. In order to reach this goal, a streamlined user grouping is proposed for a four‐user cluster in downlink NOMA systems, which is carried out based on the in‐phase and quadrature components of a constellation. In terms of bit error rate performance, the proposed scheme is superior in comparison with the conventional NOMA without user grouping and phase rotation‐based user grouping. This improvement is achieved in light of the three positive points of pulse amplitude modulation, the Gray mapping rule, and the joint maximum‐likelihood detector.
An innovative harmonic‐based approach for inrush current detection in low‐loss transformers
Authors: Sanati Saeed , Ahmadi Seyed‐Alireza , Sanaye‐Pasand Majid 
Published: January 2024

AbstractTransformer inrush current occurs due to the saturation of magnetic core. The magnetic characteristic of the core directly affects the inrush current waveform. Second harmonic and higher‐order harmonics are present in the inrush harmonic spectrum. A harmonic‐based method analysing the amplitude and phase of different harmonics is presented here. Based on the proposed method, the differences between the harmonic spectrum of new low‐loss and previous‐generation materials are investigated. Then, using the patterns of 1st to 10th harmonic phases, a novel method for inrush current detection is proposed. In the proposed method, possible patterns for the harmonic phases related to the inrush current are specified. The harmonic phases are compared with those specified patterns. In the case of matching, the inrush current condition is detected. To evaluate the theoretical principles, simulations are performed, also, the proposed method is applied to the field data to assess the practical performance, and results are presented.
A double‐layer neural network wind speed prediction framework based on training set segmentation and error correction
Authors: Liu Mingde , Liu Mingbo , Zhang Siyi , Lei Zhenxing 
Published: January 2024

AbstractHighly accurate wind speed prediction is one of the effective ways to improve wind energy utilization. Therefore, this study proposes a novel double‐layer neural network (D‐NN) framework based on feedforward neural networks. First, a feedforward neural network with an extremely short training time is used as the basic learner to ensure that the D‐NN framework has a short training and optimization time. Then, the double‐layer neural network automatically segments and adjusts the length of the training set using an improved error correction method, thus improving the model's ability to capture sequence features and enhancing the model's generalization performance in a non‐directly‐connected superposition manner. Finally, a genetic algorithm is used to automatically optimize the hyperparameters of each sub‐neural network in the D‐NN and the optimal training set length of each sub‐neural network, resulting in the final optimized prediction model. The accuracy and reliability of the prediction models designed based on the D‐NN framework are verified by comparing several different models. The results of the five different prediction evaluation metrics show that the D‐NN framework can greatly improve the accuracy of wind speed prediction.
Techno‐economic optimization framework of renewable hybrid photovoltaic/wind turbine/fuel cell energy system using artificial rabbits algorithm
Authors: Menesy Ahmed S. , Almomin Sajjad , Sultan Hamdy M. , Habiballah Ibrahim O. , Gulzar Muhammad Majid , Alqahtani Mohammed , Khalid Muhammad 
Published: January 2024

AbstractIn order to maximize the electricity supply from clean energy sources, the goal of the smart power system is to unite all renewable energy sources. The goal of the present study is to use three optimization techniques, artificial rabbits optimization algorithm (ARO), grey wolf optimizer (GWO), and whale optimization algorithm (WOA), to reduce the cost of electricity (COE) while improving the reliability of the power supply for rural areas. While using the same control variables for the optimization methods and load profile, various hybrid system configurations are explored. Photovoltaic, wind turbine, fuel cell, and electrolyser systems are all involved in the proposed hybrid renewable system. The ARO methodology is more effective than the GWO, WOA, and PSO procedures in terms of net present cost (NPC) and cost of energy (COE) generation, according to data comparing the three optimization techniques with the traditional Particle Swarm Optimization (PSO) method. The proposed ARO reached a value of COE of 0.4412$/kWh compared to 0.4438$/kWh for GWO, 0.4443$/kWh for WOA, and 0.44378$/kWh for PSO.
Kompressionstherapie bei entzündlichen Dermatosen der Beine
Authors: Dissemond Joachim , Eder Stephan , Läuchli Severin , Protz Kerstin , Traber Jürg , Stücker Markus 
Published: January 2024

ZusammenfassungEs gibt zunehmend wissenschaftlich belegte Hinweise darauf, dass entzündliche Dermatosen der Beine neben venösen und lymphatischen Krankheitsbildern Indikationen für Kompressionstherapie sind. Konkret sind es Erkrankungen, wie Pyoderma gangraenosum, Livedovaskulopathie, kutane Vaskulitiden, Necrobiosis lipoidica, Psoriasis oder Erysipel, bei denen eine begleitende Kompressionstherapie bei einer Manifestation an den unteren Extremitäten durchgeführt werden kann. Wenn entzündliche Dermatosen mit einem Ödem einhergehen, handelt es sich bei der Kompressionstherapie nicht um einen Off-Label-Use. Insbesondere aufgrund der oft problematischen Schmerzsymptomatik kann gerade bei entzündlichen Dermatosen die Kompressionstherapie mit niedrigen Ruhedruckwerten um 20 mmHg durchgeführt werden.In diesem Übersichtsbeitrag werden die aktuellen wissenschaftlichen Aspekte der Kompressionstherapie bei entzündlichen Dermatosen der Beine und die entsprechenden Limitationen differenziert dargestellt.
Ethische Haltungen und Umgang in pränatalen
Konfliktsituationen – eine Umfrage unter Geburtshelfern und
Pränataldiagnostikern in Deutschland
Authors: Schneider Katja , Müller Johanna , Tissen-Diabaté Tatjana , Schleußner Ekkehard 
Published: January 2024

Zusammenfassung
Hintergrund Verschiedene Studien haben gezeigt, dass die
Zugehörigkeit zu einer Berufsgruppe Einfluss auf ethische Einstellungen
hat. Ziel dieser Untersuchung war es, die Haltung und Vorgehensweise von
Geburtshelfern und Pränataldiagnostikern in perinatologischen
Konfliktsituationen zu erfassen und zu vergleichen.

Methoden Explorative
Querschnittsstudie anhand einer online Befragung unter deutschen
Perinatalzentren Level I und Pränataldiagnostikern mit DEGUM-Level
II/III. Erfragt wurden ethische Grundeinstellungen im perinatologischen
Kontext sowie die Fallvignette eines fetalen hypoplastischen Linksherzsyndromes.
Ergebnisse Die Antwortrate betrug 57,1% (310/543).
55% der Befragten waren sowohl geburtshilflich als auch
pränataldiagnostisch, 24,5% ausschließlich
pränataldiagnostisch und 14,2% rein geburtshilflich
tätig. 27% stimmten der Aussage zu „Eine ungewisse
Prognose rechtfertigt einen Schwangerschaftsabbruch“, wobei
Pränataldiagnostiker diese Ansicht deutlich häufiger teilten als
Geburtshelfer. Eine gemeinsame interdisziplinäre Beratung bei einer
komplexen fetalen Fehlbildung befürworteten 98,3%. Im Falle
eines hypoplastischen Linksherzsyndroms würden 84,3% aller
Befragten die Option einer postnatal palliativen Behandlung ansprechen,
während einen Fetozid 57,7% der Pränataldiagnostiker,
aber nur 34,1% der Geburtshelfer mit den Eltern diskutieren
würden.
Zusammenfassung
Eine interdisziplinäre
pränatale Elternberatung bei komplexen fetalen Fehlbildungen wird von
nahezu allen Pränataldiagnostikern und Geburtshelfern in Deutschland
befürwortet. Zwischen den Spezialisten zeigen sich jedoch
unterschiedliche Haltungen bezüglich der Optionen einer
Schwangerschaftsbeendigung.
Factors Associated with Respiratory Insufficiency in Children with Guillain–Barré Syndrome
Authors: Sun Rui-di , Jiang Jun , Deng Xiao-long 
Published: January 2024

Abstract
Objective The risk factors for respiratory insufficiency in children with Guillain–Barré syndrome (GBS) are poorly known. This study aimed to investigate the factors associated with respiratory insufficiency in children with GBS.
Methods This retrospective study included children diagnosed with GBS by pediatric neurologists and admitted at the Wuhan Children's Hospital and other hospitals from January 2013 to October 2022. The patients were divided into the respiratory insufficiency and nonrespiratory insufficiency groups according to whether they received assist breathing during treatment.
Results The median (interquartile range) age of onset of 103 patients were 5 (3.1–8.5) years, 69 (67%) were male, and 64 (62.1%) had a history of precursor infection. Compared with the nonrespiratory insufficiency group, the respiratory insufficiency group showed more facial and/or bulbar weakness (p = 0.002), a higher Hughes Functional Grading Scale (HFGS) at admission (p < 0.001), and a shorter onset-to-admission interval (p = 0.017). Compared with the acute motor axonal neuropathy (AMAN) subtype, the acute inflammatory demyelinating polyneuropathy (AIDP) subtype showed longer days from onset to lumbar (p = 0.000), lower HFGS at admission (p = 0.04), longer onset-to-admission interval (p = 0.001), and more cranial nerve involvement (p = 0.04). The incidence of respiratory insufficiency between AIDP and AMAN showed no statistical difference (p > 0.05).
Conclusion In conclusion, facial and/or bulbar weakness, HFGS at admission, and onset-to-admission interval were associated with respiratory insufficiency and might be useful prognostic markers in children with GBS.
Value of 18F-FDG PET/CT to Identify Occult Infection in Presumed Aseptic Pseudarthrosis after Spinal Fusion: Correlation with Intraoperative Cultures
Authors: El Yaagoubi Yacine , Lioret Eric , Thomas Clément , Loret Jean-Edouard , Simonneau Adrien , Michaud-Robert Anne-Victoire , Philippe Laurent , Ogielska Maja , Prunier-Aesch Caroline 
Published: January 2024

Abstract
Objective Fluorine-18 fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) has gained attention as an emerging tool in case of suspicion of infection on spine, whether native or instrumented. However, the diagnostic performance of 18F-FDG PET/CT in clinically occult low-grade surgical site infection (SSI) after spinal fusion, an important risk factor for pseudarthrosis, remains unknown.
Methods We retrospectively identified all the presumed aseptic patients with pseudarthrosis confirmed by revision surgery who underwent preoperative 18F-FDG PET/CT scans performed between April 2019 and November 2022. These patients were presumed aseptic because they did not have clinical signs or laboratory tests suggestive of SSI, preoperatively. The PET/CT images were analyzed in consensus by two nuclear medicine physicians blinded to the clinical, biological, and imaging information. Visual assessment of increased uptake around cage/intervertebral disk space (and/or hardware) higher than background recorded from the first normal adjacent vertebra was interpreted as positive. Image data were also quantitatively analyzed by the maximum standardized uptake value as an index of 18F-FDG uptake, and the ratio between the uptake around cage/intervertebral disk space (and/or hardware) and background recorded from the first normal adjacent vertebra was calculated. The final diagnosis of infection was based on intraoperative cultures obtained during pseudarthrosis revision surgery.
Results Thirty-six presumed aseptic patients with surgically confirmed pseudarthrosis after spinal fusion underwent preoperative 18F-FDG PET/CT scans. Cultures of samples from revisions found that 20 patients (56%) were infected. The most frequent isolated bacterium was Cutibacterium acnes (C. acnes) in 15 patients (75%), followed by coagulase-negative staphylococci (CNS) in 7 patients (33%). Two patients had co-infections involving both C. acnes and CNS. Of the 36 PET/CT studied in this study, 12 scans were true-negative, 10 true-positive, 10 false-negative, and 4 false-positive. This resulted in sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of 50%, 75%, 71%, 55%, and 61%, respectively.
Conclusion In presumed aseptic pseudarthrosis after spinal fusion, 18F-FDG PET/CT offers good specificity (75%) but low sensitivity (50%) to identify occult SSI. The high prevalence (56%) of SSI, mostly caused by C. acnes (75%), found in our presumed aseptic cohort of patients supports the utility of systematic intraoperative cultures in revision cases for pseudarthrosis.