bluuebunny/crossref_metadata_2025_split huggingface dataset:
A proof of the polynomial conjecture for nilpotent Lie groups monomial representations
Authors: Baklouti Ali , Fujiwara Hidenori , Ludwig Jean 
Published: December 2022

LetG=exp⁡(g)G = \operatorname {exp}(\mathfrak {g})be a connected and simply connected real nilpotent Lie group with Lie algebrag\mathfrak g,H=exp⁡(h)H = \operatorname {exp}(\mathfrak {h})an analytic subgroup ofGGwith Lie algebrah\mathfrak h,χ\chia unitary character ofHHandτ=indHGχ\tau = \text {ind}_H^G \chithe monomial representation ofGGinduced byχ\chi. LetDτ(G/H)D_{\tau }(G/H)be the algebra of theGG-invariant differential operators on the fiber bundle over the base spaceG/HG/Hassociated to the data(H,χ)(H,\chi ). We prove the polynomial conjecture due to Corwin-Greenleaf stating that ifτ\tauis of finite multiplicities, the algebraDτ(G/H)D_{\tau }(G/H)is isomorphic to the algebraC[Γτ]H{{\mathbb C}[{\Gamma }_{\tau }]}^Hof theHH-invariant polynomial functions on the affine subspaceΓτ={ℓ∈g∗;ℓ|h=−−1dχ}{\Gamma }_{\tau } = \{\ell \in {\mathfrak g}^*; {\ell }|_{\mathfrak h} = -\sqrt {-1}d\chi \}ofg∗{\mathfrak g}^*. In this case, we show that any non-zero element ofDτ(G/H)D_{\tau }(G/H)admits a fundamental tempered solution.
A Multi-Center Evaluation of Restorative Eye Treatment and INhance With Trihex Technology to Improve Aesthetic Outcomes When Used Pre- and Post-Blepharoplasty
Authors: Lee Wendy W , Fagien Steven , Murdock Jennifer , Bell Michaela , Widgerow Alan D 
Published: December 2022

Abstract

Background
Restorative Eye Treatment with TriHex Technology (RET) is a topical eye product with peptides and botanicals that reduce the appearance of crow's feet, under-eye bags, and dark circles. INhance with TriHex Technology (IH) is a topical product that has been clinically proven to accelerate the clearance of bruises and aid in the reduction of swelling. TriHex Technology has been shown to regenerate collagen and elastin.

Objectives
Evaluate the use of RET compared to a bland moisturizer prior to blepharoplasty and the bilateral use of INhance postoperatively.

Methods
Blepharoplasty patients were randomized to use either RET or a bland moisturizer, twice daily, on the designated periocular skin for 4 weeks prior to the procedure. Postoperatively, participants applied IH bilaterally, at least 4 times a day, and returned for follow-up on Days 1 or 3, 7, and 14. The removed upper-eyelid skin (13 patients) underwent independent dermatopathological evaluation.

Results
Investigators noted no differences in peri-operative complications but observed faster improvement in swelling, bruising, discomfort on the treated side. 85% of participants had less edema and bruising on the RET pretreated side. Biopsy results revealed improved extracellular matrix appearance on the RET pretreated side. Participants agreed that IH alleviated their swelling and noted that their skin felt and appeared more hydrated.

Conclusions
A regimen designed for eyelid surgery employing a pretreatment product component and a post treatment product appear to have a positive impact on measured outcomes in blepharoplasty patients including effects on bruising, swelling and patient comfort.

Level of Evidence: 4
Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methods
Authors: Zhao Jingxuan , Sun Jianqiang , Shuai Stella C , Zhao Qi , Shuai Jianwei 
Published: December 2022

Abstract
Long noncoding RNA (lncRNA) is a kind of noncoding RNA with a length of more than 200 nucleotide units. Numerous research studies have proven that although lncRNAs cannot be directly translated into proteins, lncRNAs still play an important role in human growth processes by interacting with proteins. Since traditional biological experiments often require a lot of time and material costs to explore potential lncRNA–protein interactions (LPI), several computational models have been proposed for this task. In this study, we introduce a novel deep learning method known as combined graph auto-encoders (LPICGAE) to predict potential human LPIs. First, we apply a variational graph auto-encoder to learn the low dimensional representations from the high-dimensional features of lncRNAs and proteins. Then the graph auto-encoder is used to reconstruct the adjacency matrix for inferring potential interactions between lncRNAs and proteins. Finally, we minimize the loss of the two processes alternately to gain the final predicted interaction matrix. The result in 5-fold cross-validation experiments illustrates that our method achieves an average area under receiver operating characteristic curve of 0.974 and an average accuracy of 0.985, which is better than those of existing six state-of-the-art computational methods. We believe that LPICGAE can help researchers to gain more potential relationships between lncRNAs and proteins effectively.
A deep transfer learning-based protocol accelerates full quantum mechanics calculation of protein
Authors: Han Yanqiang , Wang Zhilong , Chen An , Ali Imran , Cai Junfei , Ye Simin , Wei Zhiyun , Li Jinjin 
Published: December 2022

Abstract
Effective full quantum mechanics (FQM) calculation of protein remains a grand challenge and of great interest in computational biology with substantial applications in drug discovery, protein dynamic simulation and protein folding. However, the huge computational complexity of the existing QM methods impends their applications in large systems. Here, we design a transfer-learning-based deep learning (TDL) protocol for effective FQM calculations (TDL-FQM) on proteins. By incorporating a transfer-learning algorithm into deep neural network (DNN), the TDL-FQM protocol is capable of performing calculations at any given accuracy using models trained from small datasets with high-precision and knowledge learned from large amount of low-level calculations. The high-level double-hybrid DFT functional and high-level quality of basis set is used in this work as a case study to evaluate the performance of TDL-FQM, where the selected 15 proteins are predicted to have a mean absolute error of 0.01 kcal/mol/atom for potential energy and an average root mean square error of 1.47 kcal/mol/$ {\rm A^{^{ \!\!\!o}}} $ for atomic forces. The proposed TDL-FQM approach accelerates the FQM calculation more than thirty thousand times faster in average and presents more significant benefits in efficiency as the size of protein increases. The ability to learn knowledge from one task to solve related problems demonstrates that the proposed TDL-FQM overcomes the limitation of standard DNN and has a strong power to predict proteins with high precision, which solves the challenge of high precision prediction in large chemical and biological systems.
Pseudoalignment tools as an efficient alternative to detect repeated transposable elements in scRNAseq data
Authors: de Villarreal Jaime Martínez , Kalisz Mark , Piedrafita Gabriel , Graña-Castro Osvaldo , Chondronasiou Dafni , Serrano Manuel , Real Francisco X 
Published: December 2022

Abstract

Motivation
Transposable elements (TE) have played a major role in configuring the structures of mammalian genomes through evolution. In normal conditions, the expression of these elements is repressed by different epigenetic regulation mechanisms such as DNA methylation, histone modification and regulation by small RNAs. TE re-activation is associated with stemness potential acquisition, regulation of innate immunity and disease, such as cancer. However, the vast majority of current knowledge in the field is based on bulk expression studies, and very little is known on cell-type- or state-specific expression of TE-derived transcripts. Therefore, cost-efficient single-cell-resolution TE expression analytical approaches are needed.

Results
We have implemented an analytical approach based on pseudoalignment to consensus sequences to incorporate TE expression information to scRNAseq data.

Availability and implementation
All the data and code implemented are available as Supplementary data and in: https://github.com/jmzvillarreal/kallisto_TE_scRNAseq.

Supplementary information
Supplementary data are available at Bioinformatics online.
How Social Considerations Improve the Equity and Effectiveness of Ecosystem Restoration
Authors: Löfqvist Sara , Kleinschroth Fritz , Bey Adia , de Bremond Ariane , DeFries Ruth , Dong Jinwei , Fleischman Forrest , Lele Sharachchandra , Martin Dominic A , Messerli Peter , Meyfroidt Patrick , Pfeifer Marion , Rakotonarivo Sarobidy O , Ramankutty Navin , Ramprasad Vijay , Rana Pushpendra , Rhemtulla Jeanine M , Ryan Casey M , Vieira Ima Célia Guimarães , Wells Geoff J , Garrett Rachael D 
Published: December 2022

AbstractEcosystem restoration is an important means to address global sustainability challenges. However, scientific and policy discourse often overlooks the social processes that influence the equity and effectiveness of restoration interventions. In the present article, we outline how social processes that are critical to restoration equity and effectiveness can be better incorporated in restoration science and policy. Drawing from existing case studies, we show how projects that align with local people's preferences and are implemented through inclusive governance are more likely to lead to improved social, ecological, and environmental outcomes. To underscore the importance of social considerations in restoration, we overlay existing global restoration priority maps, population, and the Human Development Index (HDI) to show that approximately 1.4 billion people, disproportionately belonging to groups with low HDI, live in areas identified by previous studies as being of high restoration priority. We conclude with five action points for science and policy to promote equity-centered restoration.
The value of intraoperative parathyroid hormone monitoring in patients with primary hyperparathyroidism and varying baseline parathyroid hormone levels
Authors: Hargitai Lindsay , Bereuter Carmen Maria , Dunkler Daniela , Geroldinger Angelika , Scheuba Christian , Niederle Bruno , Riss Philipp 
Published: December 2022

AbstractBackgroundWhen applying intraoperative parathyroid hormone monitoring (IOPTH) to patients with primary hyperparathyroidism (PHPT), there are established criteria predicting biochemical cure in patients with basal parathyroid hormone (PTH) levels in the medium range (100–400 pg/ml); however, there is a challenge concerning patients with low (less than 100 pg/ml) or high (more than 400 pg/ml) basal PTH levels. The aim of this study was to investigate the value of the ‘Vienna criterion’ applied during IOPTH in patients with PHPT and various basal PTH concentrations.MethodsConsecutive patients between 1999–2009 with a biochemical diagnosis of PHPT who underwent surgical parathyroidectomy were included. Based on preoperative PTH levels they were divided into three groups: group 1 (low) (&lt;100 pg/ml), group 2 (medium) (100–400 pg/ml) and group 3 (high) (&gt;400 pg/ml) basal PTH. PTH was measured at the start of the operation, when the gland was excised and then at 5, 10 and 15 min after. Calcium and PTH levels were measured at 7 days and 12 months postoperatively. Sensitivity, specificity, positive and negative predictive value, as well as accuracy of IOPTH were calculated for the different groups postoperatively.Results675 patients with PHPT were analysed. Sensitivity and specificity were 83.7 per cent and 66.7 per cent in group 1 (n = 187), 90.7 per cent and 69.2 per cent in group 2 (n = 433), and 94.4 per cent and 100 per cent in group 3 (n = 55) to predict cure. Preoperative creatinine (p = 0.002) showed significant statistical difference between the groups but was not related to intraoperative PTH decline. At 12 months follow-up normocalcaemia was documented in 98.9 per cent in group 1, 99.0 per cent group 2, and 98.0 per cent of group 3 patients.ConclusionNormocalcaemia was predicted intraoperatively by applying the ‘Vienna criterion’ in 98 to 100 per cent and was confirmed after 12 months follow-up in up to 99.0 per cent of patients. Low specificity and a high false-negative rate in patients with low basal PTH show that other criteria might be better suited for this group.
Nomogram to predict disease recurrence in patients with locally advanced rectal cancer undergoing rectal surgery after neoadjuvant therapy: retrospective cohort study
Authors: Saadoun Jacques-Emmanuel , Meillat Hélène , Zemmour Christophe , Brunelle Serge , Lapeyre Alexandra , de Chaisemartin Cécile , Lelong Bernard 
Published: December 2022

Abstract

Introduction
Prognostic models can be used for predicting survival outcomes and guiding patient management. TNM staging alone is insufficient for predicting recurrence after chemoradiotherapy (CRT) and surgery for locally advanced rectal cancer. This study aimed to develop a nomogram to better predict cancer recurrence after CRT followed by total mesorectal excision (TME) and tailor postoperative management and follow-up.

Materials and Methods
Between 2002 and 2019, data were retrospectively collected on patients with rectal adenocarcinoma. Data on sex, age, carcinoembryonic antigen (CEA) level, tumour location, induction chemotherapy, adjuvant chemotherapy, tumour downsizing, perineural invasion, lymphovascular invasion, pathological stage, resection margins (R0 versus R1), and pelvic septic complications were analysed. The variables significantly associated with cancer recurrence were used to build a nomogram that was validated in both the training and validation cohorts. Model performance was evaluated by receiver operating characteristic curve and area under the curve (AUC) analyses.

Results
After applying exclusion criteria, 634 patients with rectal adenocarcinoma were included in this study. Eight factors (CEA level, adjuvant chemotherapy, tumour downsizing, perineural invasion, lymphovascular invasion, pathological stage, resection margins (R0 versus R1), and pelvic septic complications) were identified as nomogram variables. Our nomogram showed good performance with an AUC of 0.74 and 0.75 in the training and validation cohorts respectively.

Conclusion
Our nomogram is a simple tool for predicting cancer recurrence in patients with locally advanced rectal cancer after neoadjuvant CRT followed by TME. It provides an individual risk prediction of recurrence to tailor surveillance.
Idiopathic normal pressure hydrocephalus and frontotemporal dementia: an unexpected association
Authors: de Guilhem de Lataillade Adrien , Boutoleau-Bretonnière Claire , Aguilar-Garcia Jesus , Pallardy Amandine , Bigot-Corbel Edith , Roualdes Vincent , Leroy Julie , Damier Philippe , Pouclet-Courtemanche Hélène 
Published: December 2022

Abstract
Idiopathic normal pressure hydrocephalus has a complex multifactorial pathogenesis and is associated with Alzheimer’s disease in many patients. To date, it is not well known if a similar association exists with behavioural variant of frontotemporal lobar degeneration. In a first step, we compare the prevalence of idiopathic normal pressure hydrocephalus in two groups of patients, one with behavioural variant of frontotemporal lobar degeneration (n = 69) and the other with Alzheimer’s disease (n = 178). In the second step, we describe more precisely the phenotype of patients with the association of idiopathic normal pressure hydrocephalus and behavioural variant of frontotemporal lobar degeneration. Firstly, we report that the prevalence of idiopathic normal pressure hydrocephalus was far higher in the group of patients with behavioural variant of frontotemporal lobar degeneration than in the group of patients with Alzheimer’s disease (7.25% and 1.1%, respectively, P = 0.02). Secondly, we show that patients with the double diagnosis share common clinical and para-clinical features of both idiopathic normal pressure hydrocephalus and behavioural variant of frontotemporal lobar degeneration patients, including CSF shunting efficacy in real-life experience. Overall, our results suggest a link between these two conditions and should encourage neurologists to look for idiopathic normal pressure hydrocephalus in their behavioural variant of frontotemporal lobar degeneration patients in the event of gait disturbances; the benefit/risk balance could indeed be in favour of shunt surgery for selected patients with this newly described entity.
Behavioural and neural structure of fluent speech production deficits in aphasia
Authors: Zevgolatakou Eleni , Thye Melissa , Mirman Daniel 
Published: December 2022

AbstractDeficits in fluent speech production following left hemisphere stroke are a central concern because of their impact on patients’ lives and the insight they provide about the neural organization of language processing. Fluent speech production requires the rapid coordination of phonological, semantic, and syntactic processing, so this study examined how deficits in connected speech relate to these language sub-systems. Behavioural data (N = 69 participants with aphasia following left hemisphere stroke) consisted of a diverse and comprehensive set of narrative speech production measures and measures of overall severity, semantic deficits, and phonological deficits. These measures were entered into a principal component analysis with bifactor rotation—a latent structure model where each item loads on a general factor that reflects what is common among the items, and orthogonal factors that explain variance not accounted for by the general factor. Lesion data were available for 58 of the participants, and each factor score was analysed with multivariate lesion–symptom mapping. Effects of connectivity disruption were evaluated using robust regression with tract disconnection or graph theoretic measures of connectivity as predictors. The principal component analysis produced a four-factor solution that accounted for 70.6% of the variance in the data, with a general factor corresponding to the overall severity and length and complexity of speech output (complexity factor), a lexical syntax factor, and independent factors for Semantics and Phonology. Deficits in the complexity of speech output were associated with a large temporo-parietal region, similar to overall aphasia severity. The lexical syntax factor was associated with damage in a relatively small set of fronto-parietal regions which may reflect the recruitment of control systems to support retrieval and correct usage of lexical items that primarily serve a syntactic rather than semantic function. Tract-based measures of connectivity disruption were not statistically associated with the deficit scores after controlling for overall lesion volume. Language network efficiency and average clustering coefficient within the language network were significantly associated with deficit scores after controlling for overall lesion volume. These results highlight overall severity as the critical contributor to fluent speech in post-stroke aphasia, with a dissociable factor corresponding to lexical syntax.
Whole-brain dynamical modelling for classification of Parkinson’s disease
Authors: Jung Kyesam , Florin Esther , Patil Kaustubh R , Caspers Julian , Rubbert Christian , Eickhoff Simon B , Popovych Oleksandr V 
Published: December 2022

AbstractSimulated whole-brain connectomes demonstrate enhanced inter-individual variability depending on the data processing and modelling approach. By considering the human brain connectome as an individualized attribute, we investigate how empirical and simulated whole-brain connectome-derived features can be utilized to classify patients with Parkinson’s disease against healthy controls in light of varying data processing and model validation. To this end, we applied simulated blood oxygenation level-dependent signals derived by a whole-brain dynamical model simulating electrical signals of neuronal populations to reveal differences between patients and controls. In addition to the widely used model validation via fitting the dynamical model to empirical neuroimaging data, we invented a model validation against behavioural data, such as subject classes, which we refer to as behavioural model fitting and show that it can be beneficial for Parkinsonian patient classification. Furthermore, the results of machine learning reported in this study also demonstrated that the performance of the patient classification can be improved when the empirical data are complemented by the simulation results. We also showed that the temporal filtering of blood oxygenation level-dependent signals influences the prediction results, where filtering in the low-frequency band is advisable for Parkinsonian patient classification. In addition, composing the feature space of empirical and simulated data from multiple brain parcellation schemes provided complementary features that improved prediction performance. Based on our findings, we suggest that combining the simulation results with empirical data is effective for inter-individual research and its clinical application.
81 PITFALLS IN LATERAL ACCESSORY PATHWAY ABLATION: THE IMPORTANCE TO RECOGNIZE MITRAL ISTHMUS CONDUCTION BLOCK DURING REDO PROCEDURES
Authors: Dinatale Alessandro , Notarangelo Maria Francesca , Crocamo Antonio , Gonzi Gianluca , Fioravanti Matteo , Niccoli Giampaolo , Ardissino Diego 
Published: December 2022

Abstract

Introduction
Inaccurate mapping and ablation of left-lateral concealed AP can result in mitral isthmus conduction block, mimicking concentric retrograde activation. AVRT recurrences are frequent because ablation leaves the conduction through the AP intact.

Case Report
A 50-years-old patient with history of previous ablations of concealed left-lateral AP underwent third redo procedure due to reoccurrence of SVT. Quadripolar catheters were placed in the His bundle and RV apex; a decapolar catheter was placed in the CS. Retrograde conduction during ventricular pacing was non decremental. CS activation was concentric during AVRT. Mitral anulus was mapped via transeptal approach, showing mitral isthmus block, justifying the “concentric” atrial activation appearance, due to a left counterclockwise activation circuit and short VA interval distally to the previous ablations site. Single RF application of 1.9 sec interrupted the AP conduction. Effective ablation was confirmed by failure to induce tachycardia and by induction of AV dissociation using adenosine during ventricular pacing.

Conclusion
Change of retrograde activation pattern during AVRT reoccurrences may be referred to iatrogenic atrial conduction block achieved during ablation, rather than to the presence of a concomitant misdiagnosed AP.