bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecast of CMB TB and EB correlations for AliCPT-1
Authors: Dou Jiazheng , Ghosh Shamik , Santos Larissa , Zhao Wen 
Published: October 2024

Abstract
The correlations between T, E modes and B modes in cosmic microwave background (CMB) radiation, which are expected to vanish under parity symmetry, have become a sensitive probe of the new physics beyond the standard model. In this paper, we forecast the estimation of TB and EB cross power spectra using NILC and cILC on AliCPT-1 simulations together with Planck HFI and WMAP K maps as ancillary data. We find that, NILC performs better than cILC on measuring TB and EB correlations in light of its lower uncertainties. In terms of the birefringence angle estimation without assuming systematic errors, the combination of CMB TB and EB spectra from NILC cleaned simulations could reach a sensitivity of |β| < 0.058∘ with 2σ significance for the first observing season of AliCPT. Tripling the survey duration will improve this sensitivity to |β| < 0.041∘.
Bootstrapping Lagrangian perturbation theory for the large scale structure
Authors: Marinucci Marco , Pardede Kevin , Pietroni Massimo 
Published: October 2024

AbstractWe develop a model-independent approach to Lagrangian perturbation theory for the large scale structure of the universe. We focus on the displacement field for dark matter particles, and derive its most general structure without assuming a specific form for the equations of motion, but implementing a set of general requirements based on symmetry principles and consistency with the perturbative approach. We present explicit results up to sixth order, and provide an algorithmic procedure for arbitrarily higher orders. The resulting displacement field is expressed as an expansion in operators built up from the linear density field, with time-dependent coefficients that can be obtained, in a specific model, by solving ordinary differential equations. The derived structure is general enough to cover a wide spectrum of models beyond ΛCDM, including modified gravity scenarios of the Horndeski type and models with multiple dark matter species. This work is a first step towards a complete model-independent Lagrangian forward model, to be employed in cosmological analyses with power spectrum and bispectrum, other summary statistics, and field-level inference.
Manufacture and applications of GaN-based piezotronic and piezo-phototronic devices
Authors: Niu Jianan , Wang Jiangwen , Sha Wei , Long Yong , Ma Bei , Hu Weiguo 
Published: October 2024

Abstract
Driven by the urgent demands for information technology, energy, and intelligent industry, third-generation semiconductor GaN has emerged as a pivotal component in electronic and optoelectronic devices. Fundamentally, piezoelectric polarization is the most essential feature of GaN materials. Incorporating piezotronics and piezo-phototronics, GaN materials synergize mechanical signals with electrical and optical signals, thereby achieving multi-field coupling that enhances device performance. Piezotronics regulates the carrier transport process in micro–nano devices, which has been proven to significantly improve the performance of devices (such as high electron mobility transistors and microLEDs) and brings many novel applications. This review examines GaN material properties and the theoretical foundations of piezotronics and phototronics. Furthermore, it delves into the fabrication and integration processes of GaN devices to achieve state-of-the-art performance. Additionally, this review analyzes the impact of introducing three-dimensional stress and regulatory forces on the electrical and optical output performance of devices. Moreover, it discusses the burgeoning applications of GaN devices in neural sensing, optoelectronic output, and energy harvesting. The potential of piezotronic-controlled GaN devices provides valuable insights for future research and the development of multi-functional, diversified electronic devices.
Laser-induced thermo-compression bonding for Cu–Au heterogeneous nanojoining
Authors: Wan Hui , Shu Yu , Chen Shuo , Cao Hao , Zhou Shengjun , Liu Sheng , Gui Chengqun 
Published: October 2024

Abstract
Surface tension-induced shrinkage of heterogeneously bonded interfaces is a key factor in limiting the performance of nanostructures. Herein, we demonstrate a laser-induced thermo-compression bonding technology to suppress surface tension-induced shrinkage of Cu–Au bonded interface. A focused laser beam is used to apply localized heating and scattering force to the exposed Cu nanowire. The laser-induced scattering force and the heating can be adjusted by regulating the exposure intensity. When the ratio of scattering forces to the gravity of the exposed nanowire reaches 3.6 × 103, the molten Cu nanowire is compressed into flattened shape rather than shrinking into nanosphere by the surface tension. As a result, the Cu–Au bonding interface is broadened fourfold by the scattering force, leading to a reduction in contact resistance of approximately 56%. This noncontact thermo-compression bonding technology provides significant possibilities for the interconnect packaging and integration of nanodevices.
IoT- enabled crop waste mulching machine for sustainable farming: perspective of circular economy
Authors: Chaudhari Rajendra S , Rane Santosh B , Mahajan S K , Mogal Yogesh K 
Published: October 2024

Abstract
A large amount of crop waste is generated after crop harvesting. A substantial quantity of waste on the farm is burnt to clear the field, contributing to environmental harm and global warming. The study aims to develop a technological solution for crop waste management (CWM) by designing and developing an IoT-enabled crop waste mulching machine. This initiative addresses the environmental and health issues caused by burning crop waste on farms. The research involves designing and developing an IoT-enabled mulching machine that can be attached to the back side of a tractor. The machine consists of power-transmitting elements, supports, and mechanisms to distribute mulching material evenly onto the plant bed. It incorporates advanced IoT load cell sensors, soil moisture sensors, and proximity sensors to optimize the mulching process based on soil moisture content and to prevent machinery blockages. The IoT-enabled mulching machine effectively manages crop waste by utilizing it in mulch, thus preventing the harmful practice of burning waste. This machine ensures a more efficient, safer, and environmentally friendly approach to mulching, offering significant improvements over traditional manual mulching methods. The novelty of this research lies in integrating IoT technologies within mulching machine. The mulching machine uses sensors to automate and optimize the mulching process, representing a significant technological advancement over conventional methods. The study offers practical benefits by reducing labour requirements, minimizing the risk of injuries, and ensuring a more uniform mulch application. This technology facilitates more sustainable farming practices, aligning with global sustainability goals. The study can potentially revolutionize the agricultural equipment manufacturing industry (AEMI) by shifting the focus toward environmental sustainability. It promotes replacing plastic film mulching machines with more eco-friendly crop waste mulching solutions. This technology has the potential to reduce air pollution, carbon emissions, and mitigate climate. It also enhances soil health through better mulching practices.
Chemical space-informed machine learning models for rapid predictions of x-ray photoelectron spectra of organic molecules
Authors: Tripathy Susmita , Das Surajit , Jindal Shweta , Ramakrishnan Raghunathan 
Published: October 2024

Abstract
We present machine learning models based on kernel-ridge regression for predicting x-ray photoelectron spectra of organic molecules originating from the K-shell ionization energies of carbon (C), nitrogen (N), oxygen (O), and fluorine (F) atoms. We constructed the training dataset through high-throughput calculations of K-shell core-electron binding energies (CEBEs) for 12 880 small organic molecules in the bigQM7ω  dataset, employing the Δ-SCF formalism coupled with meta-GGA-DFT and a variationally converged basis set. The models are cost-effective, as they require the atomic coordinates of a molecule generated using universal force fields while estimating the target-level CEBEs corresponding to DFT-level equilibrium geometry. We explore transfer learning by utilizing the atomic environment feature vectors learned using a graph neural network framework in kernel-ridge regression. Additionally, we enhance accuracy within the Δ-machine learning framework by leveraging inexpensive baseline spectra derived from Kohn–Sham eigenvalues. When applied to 208 combinatorially substituted uracil molecules larger than those in the training set, our analyses suggest that the models may not provide quantitatively accurate predictions of CEBEs but offer a strong linear correlation relevant for virtual high-throughput screening. We present the dataset and models as the Python module, cebeconf, to facilitate further explorations.
Mitigation in the Law of Damages
Authors: Summers Andy 
Published: October 2024

Abstract
This book provides the first comprehensive theoretical and doctrinal treatment of the law of mitigation in any common law jurisdiction. Mitigation determines how a claimant’s own response to a breach affects the damages they can recover. It responds to the basic argument: ‘although I did wrong, you made things worse’. It applies to all claims for compensation, regardless of the claimant’s cause of action and irrespective of the defendant’s level of fault (if any). The book’s main argument is that the twin principles of choice and abnormality, which underlie ‘commonsense’ causal reasoning, also explain how judges approach questions of mitigation. Contrary to the conventional view, the rules of mitigation apply symmetrically to benefits as well as harms. If the claimant makes a choice not to replicate their ‘no-breach’ position in the usual way then damages will be assessed counterfactually as if they had done so, for better or worse. The book also explains the relation between mitigation and other damages doctrines including the market rule, intervening acts by the claimant, betterment, remoteness, and contributory negligence. The book’s arguments have broader implications for our understanding of the legal concepts of causation, choice, and loss, and call for a re-evaluation of existing theories of damages.
Conclusion
Authors: Summers Andy 
Published: October 2024

Abstract
This chapter draws out some implications and open questions raised by the book’s account of mitigation, taking a broader perspective aimed at private law theorists. The reflections are organized according to four key concepts: causation; choice; rights; and loss. On causation, the discussion focuses on the nature and scope of the choice and abnormality principles identified in the law of mitigation. On choice, it is argued that the literature on the moral significance of choice could be used to further delineate the boundaries of mitigation. On rights and loss, the chapter seeks to how the new account of mitigation relates to existing general theories of damages, and concludes by proposing a ‘new loss-based theory’ with mitigation at its heart.
The General Christian Contradiction
Authors: Chepurin Kirill 
Published: October 2024

Abstract
In dialogue with Hans Blumenberg’s account of modernity, Christianity, and Gnosticism, this chapter traces the contours of the Christian-modern world in Schelling as a structure of alienation and the not-yet. The chapter reconstructs the tension between theodicy and bliss in Schelling’s genealogy of modernity, as well as analyzes the place of mysticism in this genealogy and highlights his Romantic proclamation of the coming epoch of magic, bliss, and what William Wordsworth calls the “one life.” In the Schellingian framework, Christianity and modernity remain co-imbricated in and as the hegemonic Christian-modern world, and modernity appears as a failed salvific epoch that inherits the Christian promise of a blissful future. What the chapter terms the general Christian contradiction as the structure of universal diremption forms the basis of Schelling’s view of the world as a whole and provides the context in which his thought is placed in the rest of the book.
Evil Is but a Shadow
Authors: Chepurin Kirill 
Published: October 2024

Abstract
This chapter reconstructs Schelling’s so-called identity philosophy as a speculative solar thought and an antagonistic attempt to re-vision the universe, against the logics of self-assertion and appropriation, as one blissful being-in-common. In bliss, the world’s enclosures and divisions are annihilated, dissolved as in water and consumed as in revolutionary fire—the fire that, for Schelling, is one with the solar fire repressed within the earth. However, as part of his identity philosophy, Schelling also develops an aesthetic theodicy of history that indifferently assigns to everything its place within the All and sees no evil, and that explicitly legitimates Christian-European colonialism. Not only does Schelling position the Christian-European subject as the normative subject of planetary history but his very construction of concepts such as “history” and “religion” is programmatically Christian-modern in character. In the end, the chapter suggests, Schelling’s identity philosophy collapses due to the apocalyptic tension between theodicy and bliss.
Clustering scRNA-seq data with the cross-view collaborative information fusion strategy
Authors: Lou Zhengzheng , Wei Xiaojiao , Hu Yuanhao , Hu Shizhe , Wu Yucong , Tian Zhen 
Published: October 2024

Abstract
Single-cell RNA sequencing (scRNA-seq) technology has revolutionized biological research by enabling high-throughput, cellular-resolution gene expression profiling. A critical step in scRNA-seq data analysis is cell clustering, which supports downstream analyses. However, the high-dimensional and sparse nature of scRNA-seq data poses significant challenges to existing clustering methods. Furthermore, integrating gene expression information with potential cell structure data remains largely unexplored. Here, we present scCFIB, a novel information bottleneck (IB)-based clustering algorithm that leverages the power of IB for efficient processing of high-dimensional sparse data and incorporates a cross-view fusion strategy to achieve robust cell clustering. scCFIB constructs a multi-feature space by establishing two distinct views from the original features. We then formulate the cell clustering problem as a target loss function within the IB framework, employing a collaborative information fusion strategy. To further optimize scCFIB’s performance, we introduce a novel sequential optimization approach through an iterative process. Benchmarking against established methods on diverse scRNA-seq datasets demonstrates that scCFIB achieves superior performance in scRNA-seq data clustering tasks. Availability: the source code is publicly available on GitHub: https://github.com/weixiaojiao/scCFIB.
Bioinformatics in Russia: history and present-day landscape
Authors: Nawaz Muhammad A , Pamirsky Igor E , Golokhvast Kirill S 
Published: October 2024

Abstract
Bioinformatics has become an interdisciplinary subject due to its universal role in molecular biology research. The current status of Russia’s bioinformatics research in Russia is not known. Here, we review the history of bioinformatics in Russia, present the current landscape, and highlight future directions and challenges. Bioinformatics research in Russia is driven by four major industries: information technology, pharmaceuticals, biotechnology, and agriculture. Over the past three decades, despite a delayed start, the field has gained momentum, especially in protein and nucleic acid research. Dedicated and shared centers for genomics, proteomics, and bioinformatics are active in different regions of Russia. Present-day bioinformatics in Russia is characterized by research issues related to genetics, metagenomics, OMICs, medical informatics, computational biology, environmental informatics, and structural bioinformatics. Notable developments are in the fields of software (tools, algorithms, and pipelines), use of high computation power (e.g. by the Siberian Supercomputer Center), and large-scale sequencing projects (the sequencing of 100 000 human genomes). Government funding is increasing, policies are being changed, and a National Genomic Information Database is being established. An increased focus on eukaryotic genome sequencing, the development of a common place for developers and researchers to share tools and data, and the use of biological modeling, machine learning, and biostatistics are key areas for future focus. Universities and research institutes have started to implement bioinformatics modules. A critical mass of bioinformaticians is essential to catch up with the global pace in the discipline.
Incidence of rectal cancer after colectomy for inflammatory bowel disease: nationwide study
Authors: Deputy Mohammed , Worley Guy , Burns Elaine M , Bottle Alex , Aylin Paul , Hart Ailsa , Faiz Omar 
Published: October 2024

Abstract

Background
Inflammatory bowel disease increases the risk of colorectal neoplasia. A particular problem arises in patients who have undergone subtotal colectomy leaving a rectal remnant. The risk of future rectal cancer must be accurately estimated and weighed against the risks of further surgery or surveillance. The aim of this study was to estimate the 10-year cumulative incidence of rectal cancer in such patients.

Methods
A nationwide study using England’s hospital administrative data was performed. A cohort of patients undergoing subtotal colectomy between April 2002 and March 2014 was identified. A competing risks survival analysis was performed to calculate the cumulative incidence of rectal cancer. The effect of the COVID-19 pandemic on endoscopic surveillance was investigated using time-trend analysis.

Results
A total of 8120 patients were included and 61 patients (0.8%) were diagnosed with cancer. The cumulative incidence of rectal cancer was 0.26% (95% c.i. 0.17% to 0.39%), 0.49% (95% c.i. 0.36% to 0.68%), and 0.77% (95% c.i. 0.57% to 1.02%) at 5, 10, and 15 years respectively. A previous diagnosis of colonic dysplasia (HR 3.34, 95% c.i. 1.01 to 10.97; P = 0.047), primary sclerosing cholangitis (HR 5.42, 95% c.i. 1.34 to 21.85; P = 0.018), and elective colectomy (HR 1.83, 95% c.i. 1.11 to 3.02; P = 0.018) was associated with an increased incidence of rectal cancer. Regarding endoscopic surveillance, there was a 43% decline in endoscopic procedures performed in 2020 (333 procedures) compared with 2019 (585 procedures).

Conclusion
The incidence of rectal cancer after subtotal colectomy is low. Asymptomatic patients without evidence of rectal dysplasia should be carefully counselled on the possible benefits and risks of prophylactic proctectomy.
Influence of a surgeon’s exposure to operating room turnover delays on patient outcomes
Authors: Pasquer Arnaud , Cordier Quentin , Lifante Jean-Christophe , Poncet Gilles , Polazzi Stéphanie , Duclos Antoine 
Published: October 2024

Abstract

Background
A surgeon’s daily performance may be affected by operating room organizational factors, potentially impacting patient outcomes. The aim of this study was to investigate the link between a surgeon’s exposure to delays in starting scheduled operations and patient outcomes.

Methods
A prospective observational study was conducted from 1 November 2020 to 31 December 2021, across 14 surgical departments in four university hospitals, covering various surgical disciplines. All elective surgeries by 45 attending surgeons were analysed, assessing delays in starting operations and inter-procedural wait times exceeding 1 or 2 h. The primary outcome was major adverse events within 30 days post-surgery. Mixed-effect logistic regression accounted for operation clustering within surgeons, estimating adjusted relative risks and outcome rate differences using marginal standardization.

Results
Among 8844 elective operations, 4.0% started more than 1 h late, associated with an increased rate of adverse events (21.6% versus 14.4%, P = 0.039). Waiting time surpassing 1 h between procedures occurred in 71.4% of operations and was also associated with a higher frequency of adverse events (13.9% versus 5.3%, P &lt; 0.001). After adjustment, delayed operations were associated with an elevated risk of major adverse events (adjusted relative risk 1.37 (95% c.i. 1.06 to 1.85)). The standardized rate of major adverse events was 12.1%, compared with 8.9% (absolute difference of 3.3% (95% c.i. 0.6% to 5.6%)), when a surgeon experienced a delay in operating room scheduling or waiting time between two procedures exceeding 1 h, as opposed to not experiencing such delays.

Conclusion
A surgeon’s exposure to delay before starting elective procedures was associated with an increased occurrence of major adverse events. Optimizing operating room turnover to prevent delayed operations and waiting time is critical for patient safety.
Solvent-vapor-assisted crystallization of covalent organic framework films for CO2/CH4 separation
Authors: Kato Masaki , Yanase Takashi , Waizumi Hiroki , Yokokura Seiya , Shimada Toshihiro 
Published: October 2024

Abstract
Covalent organic framework films were prepared using alternating vapor deposition of precursors followed by solvent vapor annealing. When an as-deposited film was annealed in appropriate solvent vapors, the prepared covalent organic framework film exhibited an “onion-like” structure. This result opens a way to synthesize covalent organic framework films with highly ordered planar layers through the interaction between layers. The CO2/CH4 separation performance of covalent organic framework film was significantly improved due to the decrease in defects caused by crystallization.