bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human measure and natural fecundity: Mythos and logos in the past and future of the humanities
Authors: Angus Ian 
Published: March 2023

AbstractThe beginnings of social forms are shrouded in, and justified by, myths which establish both the manifest content of stories and religion. The replacement of myth by logic is never total and the role of logic depends upon the mythic origin that it partially replaces. The form of heritage is constituted in large part by the manner in which intertwining between mythos and logos is structured. Taking the measure of humanitas today means noting, not only the internal articulation of a heritage but those elements of a given heritage which resonate with other heritages. The proximity of Socrates and Protagoras, in Plato's dialogue of the same name, allows us to glimpse a possibility not visible in any other confrontation between Socrates and the sophists: a unity of philosophy and rhetoric in the constitution and heritage of humanism. George Lukács' late, unfinished work, The Ontology of Social Labour, aimed to establish an ontological foundation for the relation between science and religion. In this way, the ontology of labour introduces a new twist into the relation between mythos and logos. One critical comment about Lukács' ontology of labour pertinent to the relation between mythos and logos is that the experience of nature in labour may be more affirmative than the trajectory of classical Marxism allows. The productivity of labour, which increases with social organization and division of labour, is based upon natural fecundity. A human being lives a necessary paradox of seeing human excellence and good in distinction from nature and as part of the nature that surpasses it. The humanities are charged with investigating this paradox in all its forms. Even while inhabiting a given tradition, the mythos/logos complexes of other societies may be approached, listened to, and even understood.
New palaeomagnetic results of Permian tectonic blocks in the western segment of the Yarlung Zangbo Suture Zone and their tectonic implications
Authors: Li Zijian , Li Yalin , Tan Xiaodong , Li Shuai , Ma Xingduo , Huang Song , Xiao Siqi , Cheng Jianbo , Zhang Jiawei 
Published: March 2023

The composition and structure of the Yarlung Zangbo Suture Zone (YZSZ) provide important constraints on long‐standing disputes about the evolution of the Neo‐Tethys Ocean and continental collision. The Permian tectonic blocks (mainly composed of limestones and volcanic rocks) are widely distributed in the YZSZ. There are still different understandings about the origin of these blocks and their relationship with the evolution of the Neo‐Tethys Ocean. Here, we report the first reliable palaeomagnetic results of the Permian tectonic blocks in the Gyanyima and Mayum areas, the western segment of the YZSZ. Fossil records and our new zircon U–Pb results provide 254–252 Ma and 249 ± 2 Ma age constraints for the strata in the Gyanyima and Mayum sections, respectively. A total of 109 specimens were subjected to stepwise thermal demagnetizations. Among them, 83 specimens yielded interpretable results. After removing a recent geomagnetic field direction at low to intermediate temperature ranges, characteristic remanent magnetization (ChRM) directions can be isolated from the upper Permian–lower Triassic Gyanyima Formation (Fm). Unblocking temperature spectra of the ChRM indicate magnetite and haematite as the main carriers in the basalt and limestone/andesitic‐basalt samples, respectively. The ChRM passed the fold tests and a reversal test at 95% confidence level, indicating that it is most likely a primary remanence. The tilt‐corrected mean direction for 14 sites is D = 18.0°, I = −14.4°, k = 20.5, and α95 = 9.0°, which corresponds to a palaeolatitude of 7.3°S and a palaeopole at 48.3°N, 233.3°E with A95 = 8.1°. Combining the rock assemblage, palaeomagnetic, palaeontological, and geochronologic data, we conclude that these blocks were most likely seamounts formed in the low‐latitude area of the Neo‐Tethys Ocean. The palaeolatitude and origin of these blocks indicate that the evolution of the Neo‐Tethys Ocean was a complex process interspersed with the development of a series of seamounts and microblocks.
Oral rehabilitation with dental implants in patients with systemic sclerosis: A systematic review
Authors: Mosaddad Seyed Ali , Abdollahi Namanloo Reza , Ghodsi Raziye , Salimi Yasaman , Taghva Masumeh , Naeimi Darestani Meshkat 
Published: March 2023

AbstractObjectiveTo assess the influence of systemic sclerosis (SSc) on the survival rate of dental implants in SSc patients receiving implant‐supported treatments.MethodsThe Preferred Reporting Items for Systematic Reviews and Meta‐analysis (PRISMA) Statement and the Cochrane Collaboration's guiding principles were followed during the study's execution. The data from three databases, PubMed, Google Scholar, and Scopus, available until January 2023, were used to compile the material for our research. Only English‐language publications were submitted for this research and evaluated based on their titles, abstracts, and full texts. For performing a quality assessment, quality scores were calculated.ResultsThe total number of patients and implants studied were 37 and 153, respectively, all having had scleroderma. The patients’ ages ranged from 28 to 77 years old, with a mean (SD) age of 58.16 (12.88). All the patients in the case reports and most in the case series study were female. The range of follow‐up duration was from 1 to 10 years. In case report studies, the survival rate was 100%; in case series, it was 89.2%.ConclusionThe SSc status had no discernible impact on the implant survival rate. Implant‐based treatments in SSc patients should not worsen the overall morbidity and should not conflict with systemic treatments. Before starting implant therapy, a thorough risk assessment is essential, though.
Lupus Recipe inhibits cGVHD‐induced lupus nephritis in mice and promote renal LC3‐associated autophagy
Authors: Liu Ruihua , Huang Xuan , Ye Hongjian , Wu Haishan , Guo Jing , Peng Yuan , Wu Meiju , Fan Jinjin , Yang Xiao 
Published: March 2023

AbstractLupus nephritis (LN) is one of the most severe manifestations of systemic lupus erythematosus (SLE). The chronic graft versus host disease (cGVHD) mouse model is a well‐established model of SLE. LC3‐associated autophagy plays a critical role in extracellular particle clearance, including pathogens and apoptotic cells. Lupus Recipe (LR) is a Chinese herbal compound that has been proven to be effective in treating SLE. In the study, we investigated the protective effects of LR or LR combined with prednisone on cGVHD mouse model and LC3‐associated autophagy in the kidney. The mice were subjected to six groups. The LR treatment group received LR at the dosage of 1.15 and 2.3 g/kg/day, respectively. The corticosteroid treatment group received prednisone at a dosage of 5 mg/kg/day. The combination treatment group received LR at a dosage of 2.3 g/kg/day, and prednisone at 2.5 mg/kg/day. LR treatment reduced proteinuria and serum triglyceride levels, as well as spleen weight. LR also alleviated pathologic damage and immunoglobulin G deposition in the kidney. LR combined with a low dose of prednisone significantly improved kidney function and decreased serum triglyceride, total cholesterol, and spleen weight. In addition, combination treatment relieved kidney injury more effectively than LR alone. Western blot revealed that LR treatment or LR combined with prednisone increased the LC3‐associated autophagy protein of Rubicon and Nox2, as well as LC3I levels in the kidney tissues. In conclusion, LR inhibited the manifestation of cGVHD‐induced LN, which may attribute to the increased levels of LC3‐associated autophagy.
CA‐UNet: Convolution and attention fusion for lung nodule segmentation
Authors: Wang Tong , Wu Fubin , Lu Haoran , Xu Shengzhou 
Published: March 2023

AbstractLung cancer is one of the deadliest cancers in the world and is a serious threat to human life. Lung nodules are an early manifestation of lung cancer, early detection and treatment of which can improve the survival rate of patients. In order to accurately segment the lung nodule regions in lung CT images, CA‐UNet, an encoding and decoding structure based on convolution and attention fusion, is proposed based on the U‐Net network. It has improved on two points: First, at the skip connection, the global feature information is extracted using the Swin Transformer block and then fused with the pre‐extraction features and subsequently fed into the corresponding layer of the decoder; second, each channel information is reweighted in the decoder by the channel attention module so that the network focuses on more important channels. Experimental results on the LIDC‐IDRI public database of lung nodules showed that the intersection of union, dice similarity coefficient, precision, and recall of the algorithm were 82.42%, 89.86%, 89.07%, and 92.44%, respectively. The algorithm has better segmentation performance compared to other segmentation methods.
Self‐selective memristor‐enabled in‐memory search for highly efficient data mining
Authors: Yang Ling , Huang Xiaodi , Li Yi , Zhou Houji , Yu Yingjie , Bao Han , Li Jiancong , Ren Shengguang , Wang Feng , Ye Lei , He Yuhui , Chen Jia , Pu Guiyou , Li Xiang , Miao Xiangshui 
Published: March 2023

AbstractSimilarity search, that is, finding similar items in massive data, is a fundamental computing problem in many fields such as data mining and information retrieval. However, for large‐scale and high‐dimension data, it suffers from high computational complexity, requiring tremendous computation resources. Here, based on the low‐power self‐selective memristors, for the first time, we propose an in‐memory search (IMS) system with two innovative designs. First, by exploiting the natural distribution law of the devices resistance, a hardware locality sensitive hashing encoder has been designed to transform the real‐valued vectors into more efficient binary codes. Second, a compact memristive ternary content addressable memory is developed to calculate the Hamming distances between the binary codes in parallel. Our IMS system demonstrated a 168× energy efficiency improvement over all‐transistors counterparts in clustering and classification tasks, while achieving a software‐comparable accuracy, thus providing a low‐complexity and low‐power solution for in‐memory data mining applications.image
Facilitating factors and barriers for use of medications to treat opioid use disorder (MOUD) among justice‐involved individuals in rural Appalachia
Authors: Staton Michele , Pike Erika , Tillson Martha , Lofwall Michelle R. 
Published: March 2023

AbstractThe purpose of this qualitative study is to assess facilitating factors and barriers for medications to treat opioid use disorder (MOUD) initiation among justice‐involved individuals in one rural Appalachian community, as well as how those factors may differ across the three types of Food and Drug Administration (FDA) approved medications. Qualitative interviews were conducted with rural justice‐involved individuals (N = 10) with a history of opioid use in the target community. Overall, participants demonstrated knowledge of the different types of MOUD and their pharmacological properties, but limited overall health literacy around opioid use disorder and MOUD treatment. Treatment access was hampered by transportation, time burdens, and costs. Findings call for research into improving health literacy education, training, and resources to decrease stigma and increase access to MOUD, particularly in light of the ongoing opioid crisis. State policies also need to increase access to all FDA medications among justice‐involved individuals, as well as supporting a care continuum from facility entry, release, and community re‐entry.
Engineer identity and degree completion intentions in doctoral study
Authors: Bahnson Matthew , Satterfield Derrick , Perkins Heather , Parker Mackenzie , Tsugawa Marissa , Cass Cheryl , Kirn Adam 
Published: March 2023

AbstractBackgroundDegree completion rates for doctoral engineering students remain stagnant at levels lower than necessary to meet national and global workforce needs. Increasing degree completion can improve opportunities for individuals and provide the human resources needed to address engineering challenges.Purpose/HypothesisIn this work, we measure the association of engineering identity variables with degree completion intentions for students who have persisted in doctoral study. We add to existing literature that suggests the importance of advisor and peer relationships, and the number of years in the doctoral program.Design/MethodWe use data collected via a national cross‐sectional survey of doctoral engineering students, which included measures of social and professional identities, graduate school experiences, and demographics. Surveys were collected from 1754 participants at 98 US universities between late 2017 and early 2018. The analyses reported here use multiple regression to measure associations with engineering doctoral degree completion intentions.ResultsResearch interest and scientist performance/competence are individually associated with degree completion intentions in students who are persisting in doctoral study. Overall, graduate engineering identity explains significant portions of variation in degree completion intentions (9.5%) beyond advisor and peer relationship variables and the number of years in graduate programs.ConclusionsResearcher interest and scientist performance/competence may be key opportunities to engage doctoral student engineering identity to improve degree completion rates. Accordingly, institutions can foster students' interest in research and build their confidence in their scientific competence to support students as they complete the doctoral degree.
Deep Learning‐Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multi‐Institutional Cohort Study
Authors: Janse Markus H. A. , Janssen Liselore M. , van der Velden Bas H. M. , Moman Maaike R. , Wolters‐van der Ben Elian J. M. , Kock Marc C. J. M. , Viergever Max A. , van Diest Paul J. , Gilhuijs Kenneth G. A. 
Published: March 2023

BackgroundWhile several methods have been proposed for automated assessment of breast‐cancer response to neoadjuvant chemotherapy on breast MRI, limited information is available about their performance across multiple institutions.PurposeTo assess the value and robustness of deep learning‐derived volumes of locally advanced breast cancer (LABC) on MRI to infer the presence of residual disease after neoadjuvant chemotherapy.Study TypeRetrospective.SubjectsTraining cohort: 102 consecutive female patients with LABC scheduled for neoadjuvant chemotherapy (NAC) from a single institution (age: 25–73 years). Independent testing cohort: 55 consecutive female patients with LABC from four institutions (age: 25–72 years).Field Strength/SequenceTraining cohort: single vendor 1.5 T or 3.0 T. Testing cohort: multivendor 3.0 T. Gradient echo dynamic contrast‐enhanced sequences.AssessmentA convolutional neural network (nnU‐Net) was trained to segment LABC. Based on resulting tumor volumes, an extremely randomized tree model was trained to assess residual cancer burden (RCB)‐0/I vs. RCB‐II/III. An independent model was developed using functional tumor volume (FTV). Models were tested on an independent testing cohort and response assessment performance and robustness across multiple institutions were assessed.Statistical TestsThe receiver operating characteristic (ROC) was used to calculate the area under the ROC curve (AUC). DeLong's method was used to compare AUCs. Correlations were calculated using Pearson's method. P values <0.05 were considered significant.ResultsAutomated segmentation resulted in a median (interquartile range [IQR]) Dice score of 0.87 (0.62–0.93), with similar volumetric measurements (R = 0.95, P < 0.05). Automated volumetric measurements were significantly correlated with FTV (R = 0.80). Tumor volume‐derived from deep learning of DCE‐MRI was associated with RCB, yielding an AUC of 0.76 to discriminate between RCB‐0/I and RCB‐II/III, performing similar to the FTV‐based model (AUC = 0.77, P = 0.66). Performance was comparable across institutions (IQR AUC: 0.71–0.84).Data ConclusionDeep learning‐based segmentation estimates changes in tumor load on DCE‐MRI that are associated with RCB after NAC and is robust against variations between institutions.Evidence Level2.Technical EfficacyStage 4.
Torque‐teno virus for the prediction of graft rejection and infection disease after kidney transplantation: A systematic review and meta‐analysis
Authors: Zeng Jun , Tang Yangming , Lin Tao , Song Turun 
Published: March 2023

AbstractTorque teno virus (TTV) is a promising novel marker for quantifying the immune function in solid organ recipients, whose diagnostic accuracy of acute rejection (AR) and infection after kidney transplantation (KT) has not been evaluated. We performed a systematic review and meta‐analysis to evaluate the diagnostic accuracy of TTV for discriminating AR and infection after KT. Eleven studies were included in the meta‐analysis. Seven studies focused on the diagnostic accuracy of TTV for AR, and the pooled analysis indicated patients who developed AR had a significant lower TTV viral DNA load (log10 copies/mL, MD: −0.74, p < 0.01). The pooled sensitivity, specificity, and area under the receiver operating characteristics curve for TTV in AR differentiation were 0.61 (0.36−0.82), 0.81 (0.64−0.91), and 0.79 (0.75−0.82), respectively. The overall diagnostic odds ratio (DOR) was 6.74 (2.60−17.50), positive likelihood ratio (PLR) was 3.22 (1.75−5.95), and negative likelihood ratio (NLR) was 0.48 (0.27−0.84), respectively. Similarly, seven studies investigated the infection discrimination and found that patients who subsequently developed posttransplant infection had higher plasma TTV DNA loads (log10 copies/mL, MD: 0.65; p < 0.01) than those remaiing infection‐free. Pooled sensitivity, specificity, and area under the receiver operating characteristics curve for TTV in infection differentiation were 0.72 (0.39−0.91), 0.57 (0.30−0.80), and 0.68 (0.64−0.72), respectively. The overall DOR was 3.28 (95% confidence interval [CI]: 2.08−5.17), the pooled PLR and NLR were 1.65 (95% CI: 1.25−2.18) and 0.50 (95% CI: 0.29−0.86), respectively. TTV might be a modest indicator for risk stratification of AR after KT, but it is a poor to discriminate posttransplant infection.
Outcomes of Cesarean Scar Pregnancies in Early Gestation According to the New Delphi Consensus Criteria
Authors: Pekar‐Zlotin Marina , Zur‐Naaman Hili , Maymon Ron , Tsviban Anna , Melcer Yaakov 
Published: March 2023

ObjectivesClinical evaluation of the new Delphi consensus definition of cesarean scar pregnancy (CSP) in early gestation.MethodsA retrospective cohort of 36 women diagnosed with CSP and treated with combined local and systemic methotrexate (MTX) between 2008 and 2021. The CSPs were classified according to the new Delphi consensus criteria into three subgroups based on the depth of the gestational sac herniation in the sagittal plane. Subgroup A included 8 (22.2%) cases in which the largest part of the gestational sac protruded toward the uterine cavity. Subgroup B included 22 (61.1%) cases in which the largest part of the gestational sac was embedded in the myometrium, and subgroup C included 6 (16.7%) cases in which the gestational was partially located outside the outer contour of the cervix or uterus.ResultsThe β‐HCG level upon admission was significantly lower in subgroup A than in subgroups B or C (11,075 ± 7109, 18,787 ± 16,585, and 58,273 ± 55,267 mIU/mL, respectively, P = .01). All subgroup C patients had repeated courses of MTX and surgical interventions (laparotomy, uterine artery embolization, and operative hysteroscopy) at double the rate of subgroups A or B (100, 50, and 40.9%, respectively, P = .036). The duration of hospitalization was significantly shorter in subgroup A than in subgroups B or C (1.9 ± 1.5, 2.1 ± 1.1, and 5.4 ± 4.9 days, P = .01).ConclusionsThe outcome according to Delphi consensus criteria for defining CSP in early gestation has implications for clinical decision‐making, patient care, and the follow‐up of CSP.
Patulous Eustachian Tube Dysfunction Symptoms Following Balloon Dilation
Authors: Hubbell Richard D. , Toivonen Joonas , Kawai Kosuke , Kim H. Jeffrey , Nieman Carrie L. , Ward Bryan K. , Poe Dennis S. 
Published: March 2023

ObjectiveClinicians increasingly perform balloon dilation of the Eustachian tube (BDET) to treat obstructive Eustachian tube dysfunction (OETD) refractory to medical management. Reported complications have been limited and include patulous Eustachian tube dysfunction (PETD). This multicenter study investigates the incidence of PETD and associated factors.MethodsConsecutive patients at three academic centers undergoing BDET (January 2014–November 2019) for OETD refractory to medical therapy were included. PETD was diagnosed by patient‐reported symptoms of autophony of voice and/or breathing. Associated factors studied include age, sex, comorbidities, balloon size, duration of inflation, repeat BDET, and adjunctive procedures.ResultsBDET procedures (n = 295 Eustachian tubes) were performed on 182 patients. Mean age was 38.4 years (SD 21.0; range 7–78) and 41.2% were female. Twenty cases of PETD (6.8% of procedures; 9.3% of patients) occurred following BDET. Risk of PETD did not vary by institution, comorbidities, or adjunctive procedure. Age ≤18 years (adjusted risk ratio [RR] = 3.26; 95% confidence interval [CI]: 1.24, 8.54; p = 0.02), repeat BDET (RR = 3.26; 95% CI: 2.15, 4.96; p < 0.001), and severe preoperative Eustachian tube inflammation (RR = 2.83; 95% CI: 1.10, 7.28; p = 0.03) were associated with increased risk of developing PETD in the multivariable model. Most symptoms were reported as mild or intermittent.ConclusionBDET caused PETD symptoms in approximately 7% of dilated Eustachian tubes in this study with increased risk for younger patients and those with severe inflammation or undergoing repeat dilations. Although most cases were self‐limited, symptoms can persist. Awareness of risk factors may aid clinicians in limiting this complication.Level of Evidence4 Laryngoscope, 133:3152–3157, 2023
Lubrication performance of GQDs@PNIPAM microgels for titanium alloys
Authors: Fu Kang , Sun Kequn , Zheng Quan , Yao Lulu , Song Ruhong , Xu Yufu 
Published: March 2023

AbstractThe tribological behaviour of YG8‐cemented carbide/Ti6Al4V (YG8/TC4) contacts under aqueous lubrication was investigated in this work. Three types of nano‐additives including poly (N‐isopropylacrylamide) (PNIPAM), graphene quantum dots (GQDs), and GQDs@PNIPAM microgels were prepared for use as water lubricant additives. Tribological tests were conducted at different concentrations of nano‐additives using a ball‐on‐disk reciprocating tribometer. The experimental results show that GQDs@PNIPAM has the optimum lubricating performance, the average friction coefficient decreases by 28.7% and the average cutting wear volume of the TC4 disk increases by 29.5% when the concentration is 1.5 wt.%. This provides a new strategy for the cutting of titanium alloy materials, which not only reduces the friction coefficient, but also increases the cutting wear volume of the TC4 disk, thereby improving the machining efficiency.