bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep-Learning-Based Pelvic Automatic Segmentation in Pelvic Fractures
Authors: Lee Jung Min , Park Jun Young , Kim Young Jae , Kim Kwang Gi 
Published: December 2023

Abstract

Due to the recent increase in traffic accidents, pelvic fractures are increasing, second only to skull fractures in terms of mortality and complication risk. Research is also being actively conducted on the treatment of intra-abdominal bleeding, which is the primary cause of death related to pelvic fractures. A considerable amount of preliminary research has been conducted on segmenting tumors and organs. However, studies on clinically useful algorithms for bone and pelvic segmentation based on the developed models were limited. In this study, we explored the potential of deep learning models based on previous studies to achieve accurate pelvic region segmentation in X-ray images. Data were collected from X-ray images of 940 patients aged 18 or older at Gachon University Gil Hospital from January 2015 to December 2022. To segment the pelvis, Attention U-Net and Swin U-Net were learned and compared and analyzed through 5-Fold cross-validation. It was found that the Swin U-Net model had relatively high performance compared to Attention U-Net. The Swin U-Net model achieved an average sensitivity of 96.77%, an average specificity of 98.50%, an average of 98.03%, and an average DSC of 96.32%.
Morphological characterization and genetic diversity analysis of yield and yield contributing parameters in brinjal (Solanum melongena L.) genotypes
Authors: Zabbar Md. Abdul , Parveen Shahanaz , Rahim Md. Abdur , Kamrul Kazi Md. , Arif Md. Azaharul Islam , Sharif Md. Raihan , Rashid Md. Harun-Ur- 
Published: December 2023

Abstract
A field experiment was carried out to assess the significance of variance, heritability, genetic advance, correlation, path coefficient and genetic diversity for fifteen yield and yield contributing features in twenty brinjal genotypes. The study was conducted at Sher-e-Bangla Agricultural University in Dhaka from November 2021 to June 2022 using a Randomized Complete Block Design (RCBD) with three replications. In this experiment, the existing genotypes showed significant differences for all characters. The phenotypic co-efficient of variation was higher than the genotypic co-efficient of variation for all the characters. Highest PCV (68.60) was found in percent of BSFB infestation and GCV (59.50) was found in percent of BSFB infestation. High heritability associated with high genetic advance and high genetic advance in percentage of mean was found in plant height, individual fruit weight and percent of BSFB infestation, which indicated selection on the basis of phenotype would be effective. Assessments of character association indicating that fruit yield per plant had highest significant positive correlation with days of last harvesting (rg = 0.495, rp = 0.454), number of secondary branches per plant (rg=0.356, rp=0.315), leaf blade length (rg = 0.714, rp = 0.462), leaf blade width (rg = 0.674, rp = 0.498) and number of fruits per plant (rg= 0.798, rp= 0.787) in both genotypic and phenotypic level. Path analysis revealed that the number of flowers per plant (1.421) had the maximum positive and direct effect on yield per plant. According to PCA, D2 and Cluster analysis, twenty brinjal genotypes were grouped into were grouped into five different clusters. Cluster I, II, III, IV and V composed of three, three, four, six and four genotypes respectively. The maximum intra cluster distance was exhibited by cluster III (1.918), whereas the highest value for inter cluster distance was recorded between cluster II and V (95.69). Mean performance of cluster revealed the highest number of fruits per plant (13.45) and yield per plant (0.71) value in cluster IV. Therefore, considering cluster distances, contribution of characters towards divergence, magnitude of cluster mean performance, genetic parameters and based on the objectives, the genotypes G10 (Choto Katali) and G20 (BARI Bt Begun 2) from cluster III, G11 (BARI Hybrid Begun 2) and G8 (BARI Begun 6) from cluster II, G5 (BARI Hybrid Begun 4) along with G18 (Local Black Long) from cluster IV might be used in future breeding program.
Mechanical properties of AISI 1045 carbon steel plates weld overlay with EnDOTec DO15 using CMT and GMAW-P
Authors: Cortés Rafael , Ambriz Ricardo Rafael , Lopez-Morelos Victor Hugo , Cortés-Carrillo Eduardo , Curiel-Lopez Francisco Fernando 
Published: December 2023

Abstract
Cold metal transfer (CMT) and gas metal arc welding with pulsed current (GMAW-P) were used to apply a hardfacing layer on AISI 1045 steel plates with EnDOTec DO15 filler wire. Three conditions were studied for the plates with hardfacing; as welded (AW), annealed (ANN) after welding for minimum hardness and tempered heat-treated (HT) after welding targeting hardness values of ~ 400 Vickers units. For the same metallurgical condition, there were no noticeable variation in the microhardness values despite the welding process used. The only difference found was the extent of the heat affected zone (HAZ) being smaller for the CMT process. The HAZ showed a refined microstructure that was fully and partially reversed for the ANN and HT conditions, respectively. For the tensile tests of the EnDOTec DO15 filler material, the AW condition exhibited a brittle behavior. The highest yield strength values were obtained in the HT condition (1327.1 ± 34.5 MPa for GMAW-P and 1422.55 ± 9.65 MPa for CMT). The ANN condition showed yield strength values of 715.5 ± 3.3 MPa for GMAW-P and 719.88 ± 7.72 MPa for the CMT. Charpy impact tests were performed using weld cladded samples with the V-groove in two positions, over the hardfacing layer and over the AISI 1045 substrate. The specimens with the notch on the carbon steel plate recorded the highest values of absorbed energy for the three metallurgical conditions. The results proved that irrespective of the power source employed the mechanical properties of the weld overlay cladded plates are very good.
Pronunciation Guided Copy And Correction Model For ASR Error Correction
Authors: Dong Ling , Wang Wenjun , Yu Zhengtao , Huang Yuxin , Guo Junjun , Zhou Guojiang 
Published: December 2023

Abstract

Error correction has been proven an effective means of refining mistakes produced by the Automatic Speech Recognition (ASR) models, thereby contributing to a notable reduction in the word error rate (WER) at ASR post-edit stage. Existing ASR error correction methods built upon sequence-to-sequence architecture may suffer from the over correction issue and result in introducing new mistakes or altering correct portions. In this paper, we propose a Pronunciation Guided Copy and Correction (PGCC) model for ASR error correction. Leveraging the fact that the ASR hypotheses shares big overlap with the correct text and is frequently characterized by homophone errors, our approach incorporates a copy module into BART pertained model’s encoder-decoder structure, which gives the optimal decision of either retaining a token from the source input (via copying) or generating a modified one through the decoder. Furthermore, a hierarchical phonetic feature encoder is designed to provide guidance to the copy module and BART decoder to implicitly identify the positions of homophone errors and generating precise corrections. Experiments on two public datasets demonstrate the effectiveness of our proposed method, showcasing remarkable reductions of 18.18\% and 44.84\% in character error rate and outperforms solid baseline models.
Towards Unlocking the Linguistic Code of Post-Traumatic Stress Disorder: A Comprehensive Analysis and Diagnostic Approach
Authors: Quillivic Robin , Gayraud Frédérique , Auxéméry Yann , Vanni Laurent , Peschanski Denis , Eustache Francis , Dayan Jacques , Mesmoudi Salma 
Published: December 2023

Abstract
Post-traumatic stress disorder (PTSD) lacks clear biomarkers in clinical practice. Language as a potential diagnostic biomarker for PTSD is investigated in this study. We analyze an original cohort of 148 individuals exposed to the November 13, 2015, terrorist attacks in Paris. The interviews, conducted 5 to 11 months after the event, include individuals from similar socioeconomic backgrounds exposed to the same incident, responding to identical questions and using uniform PTSD measures.
Using this dataset to collect nuanced insights that might be clinically relevant we proposes a three-step interdisciplinary methodology that integrates expertise from psychiatry, linguistics, and the Natural Language Processing (NLP) community to examine the relationship between language and PTSD. The first step assesses a clinical psychiatrist's ability to diagnose PTSD using interview transcription alone. The second step uses statistical analysis and machine learning models to create language features based on psycholinguistic hypotheses and evaluate their predictive strength. The third step is the application of a hypothesis-free deep learning approach to the classification of PTSD in our cohort.
Results show that the clinical psychiatrist achieved a diagnosis of PTSD with an AUC of 0.72. This is comparable to a gold standard questionnaire (AUC ≈ 0.80). The machine learning model achieved a diagnostic AUC of 0.69. The deep learning approach achieved an AUC of 0.64. An examination of model error informs our discussion.
Importantly, the study controls for confounding factors, establishes associations between language and DSM-5 subsymptoms, and integrates automated methods with qualitative analysis. This study provides a direct and methodologically robust description of the relationship between PTSD and language. Our work lays the groundwork for advancing early and accurate diagnosis and using linguistic markers to assess the effectiveness of pharmacological treatments and psychotherapies.
Response of Arabica Coffee collections to Coffee Berry Disease (Colletotrichum kahawae), In Oromia Regional State, Ethiopia
Authors: Wegari Adisu , Bekeko Zelalem , Derso Eshetu 
Published: December 2023

Abstract

Ethiopia mainly uses resistant varieties and cultural disease management strategies to tackle this disease. However, still there is a lack of improved and resistant varieties in coffee growing areas of the country including Arsi Zone. The objectives of this study were to investigate the resistance of Arsi coffee collections to Coffee Berry Disease through artificial inoculation of green berries on mother trees, and younger coffee seedlings under controlled conditions. The field experiment was conducted at Gololcha (Arbagugu state farm) and Mechara Agricultural research center on station. A hypocotyl test was conducted at Jimma Agricultural research center. Field test was carried out on 13 Arsi coffee collections and the Coffee Berry Disease -susceptible Arusa coffee variety. Standard checks like susceptible variety (370) and resistant varieties 741 and 754 were used for hypocotyl tests. Seventeen treatments were used for hypocotyl tests. Result showed the presence of a significant difference in Coffee Berry Disease reaction levels among genotypes (P < 0.001) under field conditions. The infection percentage of berries varied from 2.89 to 25.93% at Gololcha (Arbagugu state farm) and 3.25 to 34.92% at Mechara three weeks after treatment applications. According to the results, the resistant variety 741 showed the lowest infection percentage (15.04%) in comparison to all other collections and/or varieties at the seedling stage. Therefore, coffee collections that showed the lowest level of infection percentage under both experimental conditions (Ar15/11, Ar05/11, and Ar70/11) were recommended for further breeding strategies to develop resistant coffee varieties against the disease.
Cross It, Crack It!! Full Thickness Calcium Fracture by Coronary Intravascular Lithotripsy on Optical Coherence Tomography(Oct)
Authors: Veeraraghavan Sriram , Kidambi Bharath Raj 
Published: December 2023

Abstract
OPTICAL COHERENCE TOMOGRAPHY(OCT) due to its high spatial resolution is a very essential imaging tool during angioplasty of calcified coronary lesions. Compared to Intravascular ultrasound (IVUS), OCT has additional advantage of measuring thickness of the calcium and imaging of vessel wall beyond the calcium . Intravascular lithotripsy(IVL) modifies calcium by creating micro and macrofractures . OCT can identify these macrofractures as these fractures improve the vessel wall compliance and help in proper stent expansion and angioplasty outcomes.
In this case , we report high qaulity OCT image showing full thickness calcium fracture created by IVL during angioplasty.To the best of our knowledge , this is the first report of calcium fracture involving >800microns in thickness imaged by OCT.
Carnauba wax as a strategy to produce improved ulvan films for sustainable food packaging
Authors: Schmitz Luíza , Alarcon Orestes Estevam , Amaral Diego Serrasol do 
Published: December 2023

Abstract
Ulvan biopolymers originate from algae and are promising alternatives for sustainable food packaging, however, their hydrophilic nature limits their applications. In this study, different carnauba wax levels (0%, 5%, 10% and 15% w/w) were incorporated into ulvan film-form solutions to modify its hydrophilic nature. The ulvan extraction by hot water yield was 18.9%. Based on FTIR, the characteristic vibrational frequency bands of ulvan: carboxyl groups of uronic acid, ester sulfate groups and the vibration of C-O groups in the glycosidic bond between rhamnose and glucuronic acid were identified. Moreover, lower intensity of transmission peaks between 3500 cm− 1 and 3200 cm− 1 were attributed to the increase in the hydrophobicity of the films by the addition of carnauba wax. Contributing to the convergence of evidence regarding increased hydrophobicity, a significant decrease in solubility was observed in films containing 10% carnauba wax, compared to films without wax. The tensile strength and elongation at break of the films remained significantly unaffected when compared to compositions without carnauba wax. In short, the present study suggests that the addition of carnauba wax has a hydrophobizing effect on the ulvan films without affecting its mechanical properties, and, therefore, is promising for application in the field of food packaging.
InternalBrace Fixation Technique for Lisfranc Injury:A Retrospective Study
Authors: Zeng Guanglong , Huang Haobo , Cai Limin , Xie Qingxiang , Li Yongcong , Liang Xinyuan , Su Boyuan 
Published: December 2023

Abstract

Background Lisfranc ligament is an important structure to maintain the transverse and longitudinal arch of the foot, due to the inherent fretting between the medial cuneiform bone and the base of the 2nd metatarsal bone, the current preferred fixation method remains controversial. Our study aimed to evaluate the InternalBrace fixation technique for Lisfranc injury. Methods A total of 58 patients who underwent InternalBrace fixation technique for Lisfranc injury from January 2019 to September 2022 through a retrospective study. Preoperative classification was performed according to Myerson classification system with imaging data. Postoperative follow-up was performed according to fracture healing time, visual analog scores(VAS), the American Orthopedic Foot and Ankle Society (AOFAS), Tegner scores and complications. Results All cases completed the operation successfully and obtained follow-up. The patients age ranged from 19 to 62 years (34.6 ± 9.4 years on average). The postoperative follow-up time was 12–24 months (16.9 ± 3.0 months on average). During the follow up period, no recurrence of lisfranc fracture-dislocations. The VAS, AOFAS and Tegner scores significantly improved as time went postoperatively, which proved statistically significant (P < 0.01), and the good rates of AOFAS was 91.4%. The postoperative complications were 1 case of traumatic arthritis, 1 case of incision infection and 1 case of temporary dorsal foot numbness. Conclusions InternalBrace fixation technique for Lisfranc injury that is benifical to restore lisfranc joint stability and function, allow earlier return to activities with fewer surgical complications.
Vacuum preloading hydrostatic support technology for mirror milling of thin-walled parts
Authors: Lu Mengfan , Kang Renke , Dong Zhigang , Song Hongxia , Bao Yan 
Published: December 2023

Abstract

High quality and high efficiency machining of thin-wall, low-stiffness and large-scale skin parts with complex curved surface is in great demand in the aerospace field. Mirror milling is an efficient and green processing technology for large-scale skin parts. The support technology of mirror milling is the key technology to ensure the machining accuracy and surface quality. Aiming at the problems of poor machining accuracy and surface quality, as well as the scratches on the support surface in the sliding and rolling support modes, a new technology of vacuum preloading hydrostatic support was proposed. The machining accuracy and surface quality of thin-wall parts by mirror milling with vacuum preloading hydrostatic support are systematically studied. The main study and findings are as follows: The vacuum preloaded hydrostatic supporting head was designed. The theoretical analysis of the liquid film stiffness and thickness were carried out. The vacuum preloaded hydrostatic support system was designed and developed. Mirror milling experiments of thin-walled parts supported by vacuum preloading hydrostatic pressure was carried out to compare the surface profile and surface roughness under different fluid feed pressure and vacuum preloading. It is concluded that within a certain range: the smaller the vacuum preload and the larger the inlet pressure, the closer the milling depth is to the target depth; the larger the inlet pressure and the larger the vacuum preload, the better the consistency of workpiece thickness of the milled surface; and the presence of the liquid film effectively reduces the roughness of the milled surface.
Trauma Exposure Across the Lifespan among Individuals Engaged in Treatment with Medication for Opioid Use Disorder: Differences by Gender, PTSD Status, and Chronic Pain
Authors: Rodríguez Monique N. , Colgan Dana D. , Leyde Sarah , Pike Kenneth , Merrill Joseph O. , Price Cynthia J. 
Published: December 2023

Abstract

Background
There is little study of lifetime trauma exposure among individuals engaged in medication treatment for opioid use disorder (MOUD). A multisite study provided the opportunity to examine the prevalence of lifetime trauma and differences by gender, PTSD status, and chronic pain.
Methods
A cross-sectional study examined baseline data from participants (N = 303) enrolled in a randomized controlled trial of a mind-body intervention as an adjunct to MOUD. All participants were stabilized on MOUD. Measures included the Trauma Life Events Questionnaire (TLEQ), the Brief Pain Inventory (BPI), and the Posttraumatic Stress Disorder Checklist (PCL-5). Analyses involved descriptive statistics, independent sample t-tests, and linear and logistic regression.
Results
Participants were self-identified as women (n = 157), men (n = 144), and non-binary (n = 2). Fifty-seven percent (n = 172) self-reported chronic pain, and 41% (n = 124) scored above the screening cut-off for PTSD. Women reported significantly more intimate partner violence (85%) vs 73%) and adult sexual assault (57% vs 13%), while men reported more physical assault (81% vs 61%) and witnessing trauma (66% vs 48%). Men and women experienced substantial childhood physical abuse, witnessed intimate partner violence as children, and reported an equivalent exposure to accidents as adults. The number of traumatic events predicted PTSD symptom severity and PTSD diagnostic status. Participants with chronic pain, compared to those without chronic pain, had significantly more traumatic events in childhood (85% vs 75%).
Conclusions
The study found a high prevalence of lifetime trauma among people in MOUD. Results highlight the need for comprehensive assessment and mental health services to address trauma among those in MOUD treatment.
Trial Registration:
NCT04082637
Permeability characteristics and fine-scale deformation of loaded sandstone under increasing confining pressure unloading rates
Authors: Sun Weiji , Qin Xu , Zhang Yujun , Ma Wenfei , Ma Yangqi , Zhang Wenlu 
Published: December 2023

Abstract
In deep mineral resource mining, the deformation and permeability characteristics of rocks are two main factors affecting engineering excavation. To study the influence of stress release on the deformation and permeability characteristics of rock under the action of the roadway excavation rate, this study investigated the fine-scale deformation and permeability characteristics of sandstone under the action of different confining pressure unloading rates (0.01, 0.05, and 0.1 MPa/s) via indoor experiments and a numerical simulation using particle flow software, and a rock fracture mechanics model was constructed to analyze the degree of stress concentration at the end of branch cracks under different loading and unloading paths. The results showed that the permeability, number of cracks, and principal stress difference corresponded well with the axial strain curve and the acoustic emission events under the action of the confining pressure unloading rate. The confining pressure unloading rate was inversely proportional to the axial strain, and the magnitude of the change of the axial strain was gradually reduced with the increase in the confining pressure unloading rate. The permeability and principal stress difference satisfied exponential function, while the permeability and number of cracks satisfied linear function. The microscopic cracks formed in the unloading process were predominantly tensile, with the expansion of shear cracks lagging behind. Deformations were mainly axial pressure deformations and expansions along the direction of unloading.
Phenotypic correlation between egg quality indices in 85-weeks-old layer chicken genotypes
Authors: Ogbu Cosmas C. 
Published: December 2023

Abstract
Phenotypic correlations between egg quality indices were evaluated in aged Shaver Brown (SB) and heavy ecotype native (HEN) hens. Studied traits were egg, yolk, albumen and shell weights (EW, YW, AW and SW); egg length (EL), surface area (ESA), volume (EV), specific gravity (ESG) and shape index (ESI); egg, yolk and albumen diameters (ED, YD and AD); yolk and albumen heights (YH and AH); yolk, albumen and shell ratios and indexes (YR, AR and SR) and (YI, AI and SI); Y/A and Haugh unit (HU); shell thickness (ST), volume (SV), and density (SD). Pearson’s correlation method was employed and none zero coefficients were interpreted as perfect, near perfect, very strong, strong, moderate, weak, or very weak. EW perfectly correlated with ESA, EV, ESG and SV, and very weakly with ESI and SD in both genotypes; moderately with EL, SW, SR, YW and AW, and weakly with SD, YD and AH in HEN eggs but near perfectly with AW, strongly with EL and SR, moderately with ST, SI, YW, AH and AI, and weakly with YH and AR in SB. YW very strongly correlated with YR, strongly with YD and Y/A, moderately with YI, HU, SV and SR, and weakly with YH, AW, AH, AD, AI, SD, and SI in HEN eggs while in SB eggs it had very strong correlations with YR and Y/A, moderate correlations with YD and HU, and weak correlations with AW, SV, SR, and SI. AW was strongly correlated with AR, moderately with SV, and weakly with Y/A, SW, and SR in HEN eggs but near perfectly with SV, strongly with SR, and moderately with AH, ST, and SI in SB eggs. In HEN eggs, SW had very strong correlation with SI, moderate correlations with SV, SD, and SR and weak correlation with ST but very strongly correlated with SD, strongly with SI, and moderately with SR in SB. Variations in direction and/or strength of correlation suggest genotypic effects due to differences in degree and direction of genetic selection. Therefore, phenotypic correlation could guide non-invasive determination and genetic improvement of egg quality traits in domestic chicken genotypes.