bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient Measurement of Global Human Identification and Citizenship	– Is One Item Sufficient?
Authors: Geisen Philipp , Trutzenberg Friedemann , Eid Michael 
Published: November 2023

Abstract: To address the complexity of global challenges (e.g., migration, climate change), research must examine many constructs and their interrelationships. Therefore, efficient assessment methods (e.g., short scales) are required, especially when constructing large-scale social surveys. A widely used instrument for assessing global identification as an important predictor of behavior related to coping with global challenges is the Identification With All Humanity (IWAH) scale ( McFarland et al., 2012 ). With the present study, we aimed to investigate whether this scale can be sufficiently represented by a single item. Using bifactor-(S*I − 1) models, we analyzed whether one item from the scale itself (Item 5) and a related single-item measure from the World Values Survey (WVS; Inglehart et al., 2018 ) could adequately represent a German version of the IWAH scale. The sample ( n = 1,369) was representative of the German population regarding age, gender, income, education, and region of residence. Item 5 showed an appropriate single-item reliability (.82) and represented 64–93% of the true variance in the individual IWAH items, whereas the WVS item (Rel( YWVS) = .61) represented 52–81%. To reflect the multidimensionality of the IWAH, a 4-item short scale is recommended.
Validity of an Inconsistency Scale for the PID-5 in	Community-Dwelling Younger and Older Adults
Authors: Dubois Allyson , Sellbom Martin , Rossi Gina 
Published: November 2023

Abstract: The Personality Inventory for DSM-5 (PID-5; Krueger et al., 2012 ) is a self-report questionnaire measuring pathological traits of personality disorders. Keeley and colleagues (2016) developed an Inconsistency Scale for the PID-5 (PID-5-INC) to detect random responses. We examined the ability of the PID-5-INC to detect inconsistent responders in a new linguistic context (Dutch) and age group (older adults). The Dutch PID-5 version ( van der Heijden et al., 2014 ) was administered to two Dutch community-dwelling younger (18–64 years old: N = 439) and older adults (65 years or older: N = 251). The PID-5-INC item pairs showed large interitem correlations in the younger adult sample and at least medium interitem correlations, except for one item pair, in the older adult sample. Similarly to Keeley and colleagues , a cut-off score of 17 was the optimal cut-off point for both the younger and older adult samples. However, for the younger adult sample, a cut-off score of 16 provided an even better balance between specificity and sensitivity. We concluded that our results support the use of the PID-5-INC in Dutch-speaking community-dwelling younger and older adults and point out the importance of including validity scales for self-report questionnaires.
Acidified drinking water improves motor function, prevents tremors and changes disease trajectory in Cln2R207X mice, a model of late infantile Batten disease
Authors: Kovács Attila D. , Gonzalez Hernandez Jose L. , Pearce David A. 
Published: November 2023

AbstractBatten disease is a group of mostly pediatric neurodegenerative lysosomal storage disorders caused by mutations in the CLN1–14 genes. We have recently shown that acidified drinking water attenuated neuropathological changes and improved motor function in the Cln1R151X and Cln3−/− mouse models of infantile CLN1 and juvenile CLN3 diseases. Here we tested if acidified drinking water has beneficial effects in Cln2R207X mice, a nonsense mutant model of late infantile CLN2 disease. Cln2R207X mice have motor deficits, muscle weakness, develop tremors, and die prematurely between 4 and 6 months of age. Acidified water administered to Cln2R207X male mice from postnatal day 21 significantly improved motor function, restored muscle strength and prevented tremors as measured at 3 months of age. Acidified drinking water also changed disease trajectory, slightly delaying the death of Cln2R207X males and females. The gut microbiota compositions of Cln2R207X and wild-type male mice were markedly different and acidified drinking water significantly altered the gut microbiota of Cln2R207X mice. This suggests that gut bacteria might contribute to the beneficial effects of acidified drinking water. Our study demonstrates that drinking water is a major environmental factor that can alter disease phenotypes and disease progression in rodent disease models.
Engineered CHO cells as a novel AAV production platform for gene therapy delivery
Authors: Nagy Abdou , Chakrabarti Lina , Kurasawa James , Mulagapati Sri Hari Raju , Devine Paul , Therres Jamy , Chen Zhongying , Schmelzer Albert E. 
Published: November 2023

AbstractThe Herpes simplex virus (HSV)-based platform for production of recombinant adeno-associated viral vectors (rAAVs) yields higher titers and increased percentage of full capsids when compared to the triple transient transfection (TTT) method. However, this platform currently faces two major challenges. The first challenge is the reliance on commercial media, sometimes supplemented with serum, leading to costly manufacturing and a high risk for introduction of adventitious agents. The second challenge is that the production of HSV-1 relies on adherent complementing Vero cells (V27), making it difficult to scale up. We engineered serum-free-adapted CHO cells expressing key HSV-1 entry receptors, HVEM and/or Nectin-1 to address the first challenge. Using high-throughput cloning methods, we successfully selected a HVEM receptor-expressing clone (CHO–HV–C1) that yields 1.62 × 109, 2.51 × 109, and 4.07 × 109 viral genome copies/mL with rAAV6.2-GFP, rAAV8-GFP, and rAAV9-GFP vectors respectively, within 24 h post rHSV-1 co-infection. Moreover, CHO–HV–C1-derived rAAVs had comparable in vitro transduction, infectivity, and biodistribution titers to those produced by TTT. The second challenge was addressed via engineering CHO–HV–C1 cells to express HSV-1 CP27. These cells successfully produced rHSV-1 vectors, but with significantly lower titers than V27 cells. Taken together, the CHO/HSV system provides a novel, scalable, reduced cost, serum-free AAV manufacturing platform.
A classification method for soybean leaf diseases based on an improved ConvNeXt model
Authors: Wu Qinghai , Ma Xiao , Liu Haifeng , Bi Cunguang , Yu Helong , Liang Meijing , Zhang Jicheng , Li Qi , Tang You , Ye Guanshi 
Published: November 2023

AbstractDeep learning technologies have enabled the development of a variety of deep learning models that can be used to detect plant leaf diseases. However, their use in the identification of soybean leaf diseases is currently limited and mostly based on machine learning methods. In this investigation an enhanced deep learning network model was developed to recognize soybean leaf diseases more accurately. The improved network model consists of three parts: feature extraction, attention calculation, and classification. The dataset used was first diversified through data augmentation operations such as random masking to enhance network robustness. An attention module was then used to generate feature maps at various depths. This increased the network’s focus on discriminative features, reduced background noise, and enabled the use of the LeakyReLu activation function in the attention module to prevent situations in which neurons fail to learn when the input is negative. Finally, the extracted features were then integrated using a fully connected layer, and the predicted disease category inferred to improve the classification accuracy of soybean leaf diseases. The average recognition accuracy of the improved network model for soybean leaf diseases was 85.42% both higher than the six deep learning comparison models (ConvNeXt (66.41%), ResNet50 (72.22%), Swin Transformer (77.00%), MobileNetV3 (67.27%), ShuffleNetV2 (59.89%), and SqueezeNet (72.92%)), thus proving the effectiveness of the improved method.The model proposed in this paper was also tested on the grapevine leaf dataset, and the performance ability of the improved network model remained due to other common network models, and overall the proposed network model was very effective in leaf disease identification.
Low oral dose of 4-methylumbelliferone reduces glial scar but is insufficient to induce functional recovery after spinal cord injury
Authors: Štepánková Kateřina , Chudíčková Milada , Šimková Zuzana , Martinez-Varea Noelia , Kubinová Šárka , Urdzíková Lucia Machová , Jendelová Pavla , Kwok Jessica C. F. 
Published: November 2023

AbstractSpinal cord injury (SCI) induces the upregulation of chondroitin sulfate proteoglycans (CSPGs) at the glial scar and inhibits neuroregeneration. Under normal physiological condition, CSPGs interact with hyaluronan (HA) and other extracellular matrix on the neuronal surface forming a macromolecular structure called perineuronal nets (PNNs) which regulate neuroplasticity. 4-methylumbelliferone (4-MU) is a known inhibitor for HA synthesis but has not been tested in SCI. We first tested the effect of 4-MU in HA reduction in uninjured rats. After 8 weeks of 4-MU administration at a dose of 1.2 g/kg/day, we have not only observed a reduction of HA in the uninjured spinal cords but also a down-regulation of CS glycosaminoglycans (CS-GAGs). In order to assess the effect of 4-MU in chronic SCI, six weeks after Th8 spinal contusion injury, rats were fed with 4-MU or placebo for 8 weeks in combination with daily treadmill rehabilitation for 16 weeks to promote neuroplasticity. 4-MU treatment reduced the HA synthesis by astrocytes around the lesion site and increased sprouting of 5-hydroxytryptamine fibres into ventral horns. However, the current dose was not sufficient to suppress CS-GAG up-regulation induced by SCI. Further adjustment on the dosage will be required to benefit functional recovery after SCI.
Prognostic value and immune landscapes of immunogenic cell death-associated lncRNAs in lung adenocarcinoma
Authors: Shu Kexin , Cai Chenxi , Chen Wanying , Ding Jiatong , Guo Zishun , Wei Yiping , Zhang Wenxiong 
Published: November 2023

AbstractImmunogenic cell death (ICD) has been demonstrated to activate T cells to kill tumor cells, which is closely related to tumor development, and long noncoding RNAs (lncRNAs) are also involved. However, it is not known whether ICD-related lncRNAs are associated with the development of lung adenocarcinoma (LUAD). We downloaded ICD-related genes from GeneCards and the transcriptome statistics of LUAD patients from The Cancer Genome Atlas (TCGA) and subsequently developed and verified a predictive model. A successful model was used together with other clinical features to construct a nomogram for predicting patient survival. To further study the mechanism of tumor action and to guide therapy, we performed enrichment analysis, tumor microenvironment analysis, somatic mutation analysis, drug sensitivity analysis and real-time quantitative polymerase chain reaction (RT-qPCR) analysis. Nine ICD-related lncRNAs with significant prognostic relevance were selected for model construction. Survival analysis demonstrated that overall survival was substantially shorter in the high-risk group than in the low-risk group (P < 0.001). This model was predictive of prognosis across all clinical subgroups. Cox regression analysis further supported the independent prediction ability of the model. Ultimately, a nomogram depending on stage and risk score was created and showed a better predictive performance than the nomogram without the risk score. Through enrichment analysis, the enriched pathways in the high-risk group were found to be primarily associated with metabolism and DNA replication. Tumor microenvironment analysis suggested that the immune cell concentration was lower in the high-risk group. Somatic mutation analysis revealed that the high-risk group contained more tumor mutations (P = 0.00018). Tumor immune dysfunction and exclusion scores exhibited greater sensitivity to immunotherapy in the high-risk group (P < 0.001). Drug sensitivity analysis suggested that the predictive model can also be applied to the choice of chemotherapy drugs. RT-qPCR analysis also validated the accuracy of the constructed model based on nine ICD-related lncRNAs. The prognostic model constructed based on the nine ICD-related lncRNAs showed good application value in assessing prognosis and guiding clinical therapy.
Quantification of amplitude modulation of wind turbine emissions from acoustic and ground motion recordings
Authors: Blumendeller Esther , Gaßner Laura , Müller Florian J.Y. , Pohl Johannes , Hübner Gundula , Ritter Joachim , Cheng Po Wen 
Published: November 2023

Amplitude modulation (AM) is a common phenomenon associated with wind turbine (WT) related noise annoyance. Within the interdisciplinary project Inter-Wind, acoustic, ground motion, and meteorological data are captured to be evaluated with noise reports of residents living near a wind farm in Southern Germany. The recorded data builds a solid data base for the evaluation of AM. The occurrence of AM is detected within acoustic and ground motion data and set in relation to all available data, including WT operational parameters, meteorology, and noise reports. In this study, the origins of detected AM are tones at 57.8 Hz and 133 Hz, related to the generator and drive train, which are amplitude modulated by the blade passing frequency. AM detection was successful both with acoustic as well as ground motion data. A comparison of a method for AM detection developed by the Institute of Acoustics (IOA reference method) with a method specifically developed to detect AM in ground motion data showed that the reference method detected AM three to six times more often than the newly developed method. AM occurred most likely during stable atmospheric conditions, with a positive lapse rate, and was (albeit to a small degree) more likely to be detected when residents reported higher levels of annoyance.
Vorteile der Modellversorgung nach § 64b SGB V aus Sicht von Nutzern
Authors: Glück Rosa Kato , Göppert Lena , Ziegenhagen Jenny 
Published: November 2023

ZUSAMMENFASSUNGDie Modellvorhaben nach §64b SGB V formulieren die Absicht, sich stärker an den individuellen Bedürfnissen der Nutzerinnen der psychiatrischen Versorgung auszurichten. Während der kollaborativen Prozessevaluation PsychCare wurden auf Basis von Interviews mit Nutzern Merkmale der Modellversorgung entwickelt, anhand derer das Erleben der Nutzerinnen beschrieben und die Bedürfnisorientierung der Modellkliniken im Kontrast zur Regelversorgung evaluiert wurden.
Evolution of point defects in pulsed-laser-melted Ge1-x
Sn
x
probed by positron annihilation lifetime spectroscopy
Authors: Steuer O , Liedke M O , Butterling M , Schwarz D , Schulze J , Li Z , Wagner A , Fischer I A , Hübner R , Zhou S , Helm M , Cuniberti G , Georgiev Y M , Prucnal S 
Published: November 2023

Abstract
Direct-band-gap Germanium-Tin alloys (Ge1-x
Sn
x
) with high carrier mobilities are promising materials for nano- and optoelectronics. The concentration of open volume defects in the alloy, such as Sn and Ge vacancies, influences the final device performance. In this article, we present an evaluation of the point defects in molecular-beam-epitaxy grown Ge1-x
Sn
x
films treated by post-growth nanosecond-range pulsed laser melting (PLM). Doppler broadening – variable energy positron annihilation spectroscopy and variable energy positron annihilation lifetime spectroscopy are used to investigate the defect nanostructure in the Ge1-x
Sn
x
films exposed to increasing laser energy density. The experimental results, supported with ATomic SUPerposition calculations, evidence that after PLM, the average size of the open volume defects increases, which represents a raise in concentration of vacancy agglomerations, but the overall defect density is reduced as a function of the PLM fluence. At the same time, the positron annihilation spectroscopy analysis provides information about dislocations and Ge vacancies decorated by Sn atoms. Moreover, it is shown that the PLM reduces the strain in the layer, while dislocations are responsible for trapping of Sn and formation of small Sn-rich-clusters.
EMNGly: predicting N-linked glycosylation sites using the language models for feature extraction
Authors: Hou Xiaoyang , Wang Yu , Bu Dongbo , Wang Yaojun , Sun Shiwei 
Published: November 2023

Abstract

Motivation
N-linked glycosylation is a frequently occurring post-translational protein modification that serves critical functions in protein folding, stability, trafficking, and recognition. Its involvement spans across multiple biological processes and alterations to this process can result in various diseases. Therefore, identifying N-linked glycosylation sites is imperative for comprehending the mechanisms and systems underlying glycosylation. Due to the inherent experimental complexities, machine learning and deep learning have become indispensable tools for predicting these sites.

Results
In this context, a new approach called EMNGly has been proposed. The EMNGly approach utilizes pretrained protein language model (Evolutionary Scale Modeling) and pretrained protein structure model (Inverse Folding Model) for features extraction and support vector machine for classification. Ten-fold cross-validation and independent tests show that this approach has outperformed existing techniques. And it achieves Matthews Correlation Coefficient, sensitivity, specificity, and accuracy of 0.8282, 0.9343, 0.8934, and 0.9143, respectively on a benchmark independent test set.
Cardiac magnetic resonance–derived myocardial scar is associated with echocardiographic response and clinical prognosis of left bundle branch area pacing for cardiac resynchronization therapy
Authors: Chen Zhongli , Ma Xuan , Gao Yuan , Wu Sijin , Xu Nan , Chen Feng , Song Yanyan , Li Chongqiang , Lu Minjie , Dai Yan , Gold Michael R , Zhao Shihua , Chen Keping 
Published: November 2023

Abstract

Aims
Left bundle branch area pacing (LBBAP) is a novel approach for cardiac resynchronization therapy (CRT), but the impact of myocardial substrate on its effect is poorly understood. This study aims to assess the association of cardiac magnetic resonance (CMR)–derived scar burden and the response of CRT via LBBAP.

Methods and results
Consecutive patients with CRT indications who underwent CMR examination and successful LBBAP-CRT were retrospectively analysed. Cardiac magnetic resonance late gadolinium enhancement was used for scar assessment. Echocardiographic reverse remodelling and composite outcomes (defined as all-cause death or heart failure hospitalization) were evaluated. The echocardiographic response was defined as a ≥15% reduction of left ventricular end-systolic volume. Among the 54 patients included, LBBAP-CRT resulted in a 74.1% response rate. The non-responders had higher global, septal, and lateral scar burden (all P &lt; 0.001). Global, septal, and lateral scar percentage all predicted echocardiographic response [area under the curve (AUC): 0.857, 0.864, and 0.822; positive likelihood ratio (+LR): 9.859, 5.594, and 3.059; and negative likelihood ratio (−LR): 0.323, 0.233, and 0.175 respectively], which was superior to QRS morphology criteria (Strauss left bundle branch abnormality: AUC: 0.696, +LR 2.101, and −LR 0.389). After a median follow-up time of 20.3 (11.5–38.7) months, higher global, lateral and septal scar burdens were all predictive of the composite outcome (hazard ratios: 4.996, 7.019, and 4.741, respectively; P’s &lt; 0.05).

Conclusion
Lower scar burden was associated with higher response rate of LBBAP-CRT. The pre-procedure CMR scar evaluation provides further useful information to identify potential responders and clinical outcomes.
3-D muographic inversion in the exploration of cavities and low-density fractured zones
Authors: Balázs László , Nyitrai Gábor , Surányi Gergely , Hamar Gergő , Barnaföldi Gergely Gábor , Varga Dezső 
Published: November 2023

SUMMARY
Muography is an imaging tool based on the attenuation of cosmic muons for observing density anomalies associated with large objects, such as underground caves or fractured zones. Tomography based on muography measurements, that is, 3-D reconstruction of density distribution from 2-D muon flux maps, brings along special challenges. The detector field of view covering must be as balanced as possible, considering the muon flux drop at high zenith angles and the detector placement possibilities. The inversion from directional muon fluxes to a 3-D density map is usually underdetermined (more voxels than measurements). Therefore, the solution of the inversion can be unstable due to partial coverage. The instability can be solved by geologically relevant Bayesian constraints. However, the Bayesian principle results in parameter bias and artefacts. In this work, linearized (density-length based) inversion is applied by formulating the constraints associated with inversion to ensure the stability of parameter fitting. After testing the procedure on synthetic examples, an actual high-quality muography measurement data set from seven positions is used as input for the inversion. The resulting tomographic imaging provides details on the complicated internal structures of karstic fracture zone. The existence of low density zones in the imaged space was verified by samples from core drills, which consist of altered dolomite powder within the intact high density dolomite.
Geodetic source models of the 2016–2022 Menyuan Earthquake sequence (Northeastern Tibet) inferred from InSAR and optical observations
Authors: He Lijia , Feng Guangcai , Wang Yuedong , Xiong Zhiqiang , Gao Hua , Liu Xiaoge 
Published: November 2023

SUMMARY
We study the 2016 January 21 (${{{M}}}_{\rm{w}}$ 5.9) and 2022 January 8 (${{{M}}}_{\rm{w}}$ 6.7) earthquake sequence that struck the Menyuan region in northwest China's Qinghai province. These two earthquakes are destructive events that occurred around/on the Lenglongling fault (LLLF). Here, we derive the line-of-sight displacement fields of the two earthquakes using Interferometric Synthetic Aperture Radar (InSAR) measurements of Sentinel-1 SAR data, and map the range and horizontal offset fields of the 2022 event using Sentinel-1 amplitude images and Planet-Lab optical images. Based on the offset maps, we determine the detailed surface rupture trace of the 2022 event. We perform slip inversions for the two earthquakes on triangle fault patches whose size increases with depth. Results show that the western branch segment of the 2022 event has a ∼0.5-m normal dip-slip motion. This result contradicts previous inferences on dip-slip sense of this branch segment. We identify a left-stepping fault structure with a ∼5-km step width in the transition zone between the Tuolaishan fault (TLSF) and LLLF, which may serve as a kinematic barrier to prevent further propagation of seismic rupture along the TLSF. Stress calculation shows that a stress drop of ∼0.4 bar produced by the 2016 event on a ∼5-km long LLLF segment may act as a negative stress barrier to suppress rupture propagation of the 2022 event toward the southeast of the LLLF.