bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of mixed linear models to analyze and describe the impact of malathion on the larval growth of Megaselia scalaris (Diptera: Phoridae) under various feeding media and environmental conditions
Authors: Castillo-Alanís Luz Alejandra , Torres-Saez de Nanclares Ximena Alexa , Pedraza-Lara Carlos Salvador , Colorado-Hernández José Luis , Quijano-Mateos Alejandra , Ávalos-Hernández Omar , Bravo-Gómez María Elena 
Published: September 2024

Abstract
Forensic entomology plays a crucial role in estimating the minimum postmortem interval through the study of insect larvae found at crime scenes. The precision of this estimation relies on various biotic and abiotic elements that simultaneously influence insect growth and development, encompassing factors such as temperature, humidity, photoperiod, diet, and the existence of xenobiotics in decomposing tissues. Despite numerous studies on the influence of these factors, including the impact of xenobiotics, there are currently no robust tools available for making corrections to this estimation considering concurrently all variables. In an attempt to propose an exploratory and descriptive statistical model to analyze the simultaneous effect and interaction of different variables on larval growth, this study aimed to compare the effect of malathion on the growth of Megaselia scalaris (Loew, 1866) (Diptera: Phoridae) raised in malathion-spiked porcine muscle, under controlled and uncontrolled temperature and humidity conditions (environmental conditions). Larvae were also reared using various growth media. A split-plot design that combined crossed and nested factors was employed; 2 linear mixed models were developed to assess the relationships between the variables. The model provides valuable insights into the complex interactions among xenobiotics, growth media, and environmental conditions in the size and development of M. scalaris.
Radiation-associated cardiovascular disease in patients with cancer: current insights from a cardio-oncologist
Authors: Uehara Masae , Bekki Norifumi , Shiga Taro 
Published: September 2024

Abstract
Radiation-associated cardiovascular disease (RACD), a complex disease characterized with pericarditis, myocardial damage, valvular heart diseases, heart failure, vasculopathy and ischemic heart disease, has a generally poor prognosis. While RACD may be acute, it often manifests in the late years or even decades following radiation exposure to the chest. With an increasing number of cancer survivors, RACD is likely to become an important issue in cardio-oncology. This review discusses pre-radiation therapy (RT) preparation, peri-RT patient management and long follow-up planning post-RT from a cardiology perspective. Additionally, a novel technique of stereotactic radiotherapy, which has been applied for the treatment of intractable cardiac arrhythmias, is presented. Appropriate patient examination and management during and after RT are essential to support patients undergoing cancer treatment to improve long life expectancy. A multidisciplinary team is needed to determine how to manage patients who receive RT to reduce RACD, to detect early phases of RACD and to provide the best treatment for RACD. Recent studies increasingly report advances in diagnosis using new equipment that has the potential to detect early phases of RACD, along with growing evidence for the optimal treatment for RACD. This review provides an overview of recent studies and guidelines to report on the latest findings, and to identify unresolved issues surrounding RACD that require validation in future studies.
Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates
Authors: Jiang Binyan , Lv Jing , Li Jialiang , Cheng Ming−Yen 
Published: September 2024

Abstract
Model averaging is an attractive ensemble technique to construct fast and accurate prediction. Despite of having been widely practiced in cross-sectional data analysis, its application to longitudinal data is rather limited so far. We consider model averaging for longitudinal response when the number of covariates is ultrahigh. To this end, we propose a novel two-stage procedure in which variable screening is first conducted and then followed by model averaging. In both stages, a robust rank-based estimation function is introduced to cope with potential outliers and heavy-tailed error distributions, while the longitudinal correlation is modelled by a modified Cholesky decomposition method and properly incorporated to achieve efficiency. Asymptotic properties of our proposed methods are rigorously established, including screening consistency and convergence of the model averaging predictor, with uncertainties in the screening step and selected model set both taken into account. Extensive simulation studies demonstrate that our method outperforms existing competitors, resulting in significant improvements in screening and prediction performance. Finally, we apply our proposed framework to analyse a human microbiome dataset, showing the capability of our procedure in resolving robust prediction using massive metabolites.
Challenges associated with low rectal malignant obstruction stenting: a case report
Authors: Cabrera-Bou Victor , Lincango Eddy P , Cabrera Alessandra E , Diaz-Pagan Gabriel , Kostick Nathan , Sobel Noah , Serrano Luis F , Kondylis Philip 
Published: September 2024

Abstract
An ongoing debate exists regarding the feasibility of placing self-expanding metallic stents (SEMS) within 5 cm of the anal verge. Traditionally, SEMS have been considered contraindicated for patients with a malignant rectal obstruction within this region due to potential impact on the anorectal ring or anal canal, which can cause incontinence, proctalgia, and tenesmus. However, in the case of a 63-year-old female who presented with distention, abdominal pain, and diminishing stool output, the rectal exam identified a bulky fixed mass. Imaging studies revealed large bowel obstruction and high-grade stricture, with a minuscule residual lumen. Endoscopy identified a bulky mass obscuring the lumen at 5 cm from the anal verge, and biopsy confirmed adenocarcinoma. Despite the traditionally held contraindication, a 2.5 cm × 9.0 cm colonic stent was successfully deployed, leading to brisk colonic decompression. This allowed the patient to promptly undergo chemoradiotherapy.
The value of electrophysiological testing in the adjunctive diagnosis of premature ejaculation
Authors: Chen Zhimin , Zheng Zhenming , Zhang Xiansheng 
Published: September 2024

Abstract

Background
Although the four-class system of classifying premature ejaculation (PE), including lifelong PE (LPE), acquired PE (APE), natural variable PE (NPE), and subjective PE (SPE), has existed for many years, objective classification standards in clinical practice are lacking.

Aim
In this study, we sought to investigate the use of electrophysiologic parameters to assist in the classification of PE, thereby guiding subsequent treatment.

Methods
From July 2023 to April 2024, 187 study participants were enrolled. For each participant, the biological sensory threshold (BST), penile sympathetic skin response (PSSR), and dorsal nerve somatosensory evoked potential (DNSEP) were recorded.

Outcomes
The differences in the PSSR latencies (PL) and DNSEP latencies (DL), the PSSR amplitudes (PA) and DNSEP amplitudes (DA), and the BST were compared among the LPE, APE, SPE, NPE, and healthy control (HC) groups.

Results
The participants were divided into the LPE (46 cases), APE (53 cases), SPE (20 cases), NPE (33 cases), and HC (35 cases) groups. The results showed shorter latencies of the PSSR (PL) and DNSEP (DL), larger amplitudes of the PSSR (PA) and DNSEP (DL), and smaller BST in the LPE group than in the NPE, SPE, APE, and HC groups (P &lt; .05). In addition, the larger PA and shorter PL in the APE group than in the NPE and HC groups (P &lt; .05). However, the electrophysiological parameters were not significantly different among the NPE, SPE, and HC groups (P &gt; .05). In addition, PL &lt;1262.0 milliseconds and DL &lt;41.85 milliseconds were strong predictors of LPE, 1262.0 milliseconds &lt; PL &lt;1430.0 milliseconds was a predictor of APE, and PL &gt;1430.0 milliseconds suggested possible SPE or NPE.

Clinical implications
Analysis of the electrophysiological parameters of PE may be helpful for classification and treatment.

Strengths and Limitations
No previous study, to our knowledge, has analyzed the electrophysiological parameters of the four types of PE. The main limitation is the small sample size.

Conclusion
APE is characterized by increased sympathetic excitability, whereas LPE is characterized by increased penile sensitivity and increased sympathetic excitability. However, penile sensitivity and sympathetic excitability in SPE and NPE patients may not differ significantly from normal.
Variant Readings of Luke 22:15-20 and the Relationship of Codex Bezae to Curetonian Syriac
Authors: James Rob 
Published: September 2024

Abstract
The text of Luke 22:15–20 exists in several variant forms. Often these are classified simply as the ‘longer’ and ‘shorter’ form of the text. This paper argues that these designations are misleading as there are several important variations within the shorter form. Some of these variations are in Syriac and have often been ignored, with some scholars dismissing them as not relevant to the question of the original composition of Luke. By examining the probable origin of the additional verses of the longer text, and by analysing the variations that exist within the shorter text, especially including taking the Syriac evidence seriously, this paper suggests that the longer version is the more original. An examination of the Syriac texts leads to the ability to show that Bezae (in both Greek and Latin) and Curetonian (in Syriac) share a closer common ancestor than may be generally assumed, given their different languages. The paper ends by showing how these two MSS are related to one another.
Conflict of Laws and Arbitral Discretion
Authors: Hayward Benjamin 
Published: September 2024

Abstract
Arbitration is the dispute resolution method of choice in international commerce, but it rests on a complex legal foundation. In many international commercial contracts, the parties will choose the law governing any future disputes. However, where the parties do not choose a governing law, the prevailing approach in arbitration is to afford arbitrators broad and largely unfettered discretion to choose the law considered most appropriate or most applicable. The uncertainty resulting from this discretion potentially affects the parties’ rights and obligations, the performance of their contract, the presentation of their cases, and negotiations undertaken to settle their disputes. This text critically reviews the prevailing approach to the conflict of laws in international commercial arbitration. The text adopts a focused and detail-oriented analysis—being based on a study of more than 130 sets of arbitral laws and rules from around the world, and drawing heavily on arbitral case law. It takes as its focus the needs and expectations of commercial parties, who are the ultimate users of international commercial arbitration. This book identifies the difficulties that result from resolving conflicts of laws through broad and unconstrained arbitral discretions. It establishes that a bright-line test would be a preferable way to resolve arbitral conflicts of laws. Specifically, it recommends a modified Art 4 Rome Convention rule as the ideal basis for law reform in this area of arbitral procedure.
A Proposed Bright-Line Test—The Closest Connection Test
Authors: Hayward Benjamin 
Published: September 2024

Abstract
This chapter recommends the closest connection test as the basis for the reform of arbitral conflicts of laws. It assesses thirteen different ways in which the governing substantive law can be identified, based primarily on the conflicts rules addressed in Chapter 2. To facilitate this analysis, these thirteen methodologies are divided into three groups: ‘Category A rules’ are those considered out-of-favour in the modern international commercial arbitration environment; ‘Category B rules’ are those enjoying some contemporary endorsement in arbitral conflicts of laws, but which remain controversial; and ‘Category C rules’ are those rules considered mainstream in contemporary arbitral conflicts discourse. Only Category A’s international instruments rule and Category C’s closest connection test emerge as potentially feasible bright-line tests. On further comparison of these two alternatives, the closest connection test emerges as the optimal conflict of laws rule for international commercial arbitration.
Six Roles for Inclination
Authors: Barnett Zach 
Published: September 2024

Abstract
Initially, you judge that p. You then learn that most experts disagree. All things considered, you believe that the experts are probably right. Still, p continues to seem right to you, in some sense. You don’t yet see what, if anything, is wrong with your original reasoning. In such a case, we’ll say that you are ‘inclined’ toward p. This paper explores various roles that this state of inclination can play, both within epistemology and more broadly. Specifically, it will be argued that: (i) inclinations can promote the accuracy of inquiring groups; (ii) they can support rational participation within philosophy despite pervasive disagreement; (iii) they allow us to make sense of an important way in which two people can continue to disagree even after they ‘conciliate’; (iv) inclinations carry information about individuals’ independent judgments and for this reason must be accounted for when updating on the opinions of others; (v) inclinations are connected to understanding in a way that belief is not; (vi) and awareness of the inclination-belief distinction enables us to respond to a provocative challenge purporting to show that critical thinking, or ‘thinking for oneself’, typically reduces expected accuracy and hence should be discouraged.
GA-NIFS: NIRSpec reveals evidence for non-circular motions and AGN feedback in GN20
Authors: Übler Hannah , D’Eugenio Francesco , Perna Michele , Arribas Santiago , Jones Gareth C , Bunker Andrew J , Carniani Stefano , Charlot Stéphane , Maiolino Roberto , Rodríguez del Pino Bruno , Willott Chris J , Böker Torsten , Cresci Giovanni , Kumari Nimisha , Lamperti Isabella , Parlanti Eleonora , Scholtz Jan , Venturi Giacomo 
Published: September 2024

ABSTRACT
We present rest-frame optical data of the $z\sim 4$ submillimetre galaxy GN20 obtained with the JWST Near Infrared Spectrograph (NIRSpec) in integral field spectroscopy mode. The H$\alpha$ emission is asymmetric and clumpy and extends over a projected distance of &gt;15 kpc. To first order, the large-scale ionized gas kinematics are consistent with a turbulent ($\sigma \sim 90$ km s$^{-1}$), rotating disc ($v_{\rm rot}\sim 500$ km s$^{-1}$), congruent with previous studies of its molecular and ionized gas kinematics. However, we also find clear evidence for non-circular motions in the H$\alpha$ kinematics. We discuss their possible connection with various scenarios, such as external perturbations, accretion, or radial flows. In the centre of GN20, we find broad-line emission (full width at half-maximum $\sim 1000{-}2000$ km s$^{-1}$) in the H$\alpha$ + [N ii] complex, suggestive of fast, active galactic nucleus-driven winds or, alternatively, of the broad-line region of an active black hole. Elevated values of [N ii] $\lambda 6583$/H$\alpha \ \gt\ 0.4$ and of the Hα equivalent width EW(H$\alpha)\ \gt\ 6$ Å throughout large parts of GN20 suggest that feedback from the active black hole is able to photoionize the interstellar medium. Our data corroborate that GN20 offers a unique opportunity to observe key processes in the evolution of the most massive present-day galaxies acting in concert, over 12 billion years ago.
RT-SNDETR: real-time supernova detection via end-to-end image transformers
Authors: Pan Zhi-Ren , Qiu Bo , Li Guang-Wei 
Published: September 2024

ABSTRACT
In large-scale astronomical surveys, traditional supernova detection pipelines rely on complex and relatively inefficient image differencing techniques. This paper proposes an end-to-end deep-learning supernova detection network, the Real-Time SuperNova DEtection TRansformer (RT-SNDETR). This network partially replaces traditional pipelines by integrating image differencing, source detection, and Real-bogus classification, achieving a speed 51.49 times that of the fastest image differencing method, SFFT. Additionally, it remains competitive with methods like YOLO v8, offering a well-balanced trade-off between speed and accuracy. Experimental results highlight RT-SNDETR’s superior performance, with an average precision(AP) of 96.30 per cent on synthetic samples and 76.60 per cent on real supernova samples. It significantly outperforms other detection networks, including RT-DETR (+5.6 per cent AP on synthetic/+5.1 per cent AP on real samples) and Cascade R-CNN (+8.9 per cent AP on synthetic/ +28.6 per cent AP on real samples). The incorporation of CycleGAN-based data generation methods plays a significant role in enhancing RT-SNDETR’s performance. These methods simulate realistic PSF variations, enabling the object detection network to learn more robust features and improving its generalization to real supernovae data. Additionally, by integrating unsupervised domain adaptation techniques, RT-SNDETR achieves an AP of 81.70 per cent on real SDSS supernova survey samples. This study demonstrates RT-SNDETR’s potential to significantly enhance both the speed and accuracy of supernova detection, making it a highly effective solution for large-scale astronomical surveys.
ARTEMIS: a method for topology-independent superposition of RNA 3D structures and structure-based sequence alignment
Authors: Bohdan Davyd R , Bujnicki Janusz M , Baulin Eugene F 
Published: September 2024

Abstract
Non-coding RNAs play a major role in diverse processes in living cells with their sequence and spatial structure serving as the principal determinants of their function. Superposition of RNA 3D structures is the most accurate method for comparative analysis of RNA molecules and for inferring structure-based sequence alignments. Topology-independent superposition is particularly relevant, as evidenced by structurally similar RNAs with sequence permutations such as tRNA and Y RNA. To date, state-of-the-art methods for RNA 3D structure superposition rely on intricate heuristics, and the potential for topology-independent superposition has not been exhausted. Recently, we introduced the ARTEM method for unrestrained pairwise superposition of RNA 3D modules and now we developed it further to solve the global RNA 3D structure alignment problem. Our new tool ARTEMIS significantly outperforms state-of-the-art tools in both sequentially-ordered and topology-independent RNA 3D structure superposition. Using ARTEMIS we discovered a helical packing motif to be preserved within different backbone topology contexts across various non-coding RNAs, including multiple ribozymes and riboswitches. We anticipate that ARTEMIS will be essential for elucidating the landscape of RNA 3D folds and motifs featuring sequence permutations that thus far remained unexplored due to limitations in previous computational approaches.
DORQ-seq: high-throughput quantification of femtomol tRNA pools by combination of cDNA hybridization and Deep sequencing
Authors: Kristen Marco , Lander Marc , Kilz Lea-Marie , Gleue Lukas , Jörg Marko , Bregeon Damien , Hamdane Djemel , Marchand Virginie , Motorin Yuri , Friedland Kristina , Helm Mark 
Published: September 2024

Abstract
Due to its high modification content tRNAs are notoriously hard to quantify by reverse transcription and RNAseq. Bypassing numerous biases resulting from concatenation of enzymatic treatments, we here report a hybrid approach that harnesses the advantages of hybridization-based and deep sequencing–based approaches. The method renders obsolete any RNAseq related workarounds and correction factors that affect accuracy, sensitivity, and turnaround time. Rather than by reverse transcription, quantitative information on the isoacceptor composition of a tRNA pool is transferred to a cDNA mixture in a single step procedure, thereby omitting all enzymatic conversations except for the subsequent barcoding PCR. As a result, a detailed tRNA composition matrix can be obtained from femtomolar amounts of total tRNA. The method is fast, low in cost, and its bioinformatic data workup surprisingly simple. These properties make the approach amenable to high-throughput investigations including clinical samples, as we have demonstrated by application to a collection of variegated biological questions, each answered with novel findings. These include tRNA pool quantification of polysome-bound tRNA, of tRNA modification knockout strains under stress conditions, and of Alzheimer patients’ brain tissues.
MBNL splicing factors regulate the microtranscriptome of skeletal muscles
Authors: Piasecka Agnieszka , Szcześniak Michał W , Sekrecki Michał , Kajdasz Arkadiusz , Sznajder Łukasz J , Baud Anna , Sobczak Krzysztof 
Published: September 2024

Abstract
Muscleblind like splicing regulators (MBNLs) govern various RNA-processing steps, including alternative splicing, polyadenylation, RNA stability and mRNA intracellular localization. In myotonic dystrophy type 1 (DM1), the most common muscular dystrophy in adults, MBNLs are sequestered on toxic RNA containing expanded CUG repeats, which leads to disruption of MBNL-regulated processes and disease features of DM1. Herein, we show the significance of MBNLs in regulating microtranscriptome dynamics during the postnatal development of skeletal muscles and in microRNA (miRNA) misregulation observed in mouse models and patients with DM1. We identify multiple miRNAs sensitive to MBNL proteins insufficiency and reveal that many of them were postnatally regulated, which correlates with increases in the activity of these proteins during this process. In adult Mbnl1-knockout mice, miRNA expression exhibited an adult-to-newborn shift. We hypothesize that Mbnl1 deficiency influences miRNA levels through a combination of mechanisms. First, the absence of Mbnl1 protein results in alterations to the levels of pri-miRNAs. Second, MBNLs affect miRNA biogenesis by regulating the alternative splicing of miRNA primary transcripts. We propose that the expression of miR-23b, miR-27b and miR-24-1, produced from the same cluster, depends on the MBNL-sensitive inclusion of alternative exons containing miRNA sequences. Our findings suggest that MBNL sequestration in DM1 is partially responsible for altered miRNA activity. This study provides new insights into the biological roles and functions of MBNL proteins as regulators of miRNA expression in skeletal muscles.