bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transition from irrigation with untreated wastewater to treated wastewater and associated benefits and risks
Authors: Heyde Benjamin J. , Braun Melanie , Soufi Leila , Lüneberg Kathia , Gallego Sara , Amelung Wulf , Axtmann Katharina , Bierbaum Gabriele , Glaeser Stefanie P. , Grohmann Elisabeth , Arredondo-Hernández René , Mulder Ines , Pulami Dipen , Smalla Kornelia , Zarfl Christiane , Siebe Christina , Siemens Jan 
Published: January 2025

Abstract
Investments in “Clean water and sanitation” drive a transition from irrigation with untreated to irrigation with treated wastewater. While this transition reduces many health risks, it may decrease crop yields, and soil carbon storage, cause a release of accumulated pollutants from soils, and increase the spread of antibiotic resistance in the environment. A holistic view on multiple SDGs is necessary to maximize benefits and minimize risks of wastewater treatment for irrigation.
Chromosome-level genome assembly and annotation of the gynogenetic large-scale loach (Paramisgurnus dabryanus)
Authors: Zhang Lei , Zhang Wanting , Cheng Yingyin , Fang Yutong , Guan Xin , Gong Ao , Jiang Yanxin , Duan You , Huang Lei , Younas Waqar , Wang Yaping , Shi Mijuan , Xia Xiao-Qin 
Published: January 2025

Abstracts
The large-scale loach (Paramisgurnus dabryanus; Cypriniformes: Cobitidae) is primarily distributed in East Asia. It is an important economic fish species characterized by fast growth, temperature-dependent sex determination and the ability to breathe air. Currently, molecular mechanism studies related to some aspects such as sex determination, toxicology, feed nutrition, growth and genetic evolution have been conducted. However, the lack of a high-quality reference genome has hindered further research. In this study, we performed PacBio HiFi and Hi-C sequencing on a female (ZW) specimen and assembled the first high-quality chromosome-level genome of the large-scale loach. The assembled genome comprises 24 chromosomes, with a total length of 1.04 Gb, a scaffold N50 of 41.7 Mb, and a BUSCO completeness of 95.8%, including 28,311 protein-coding genes. These findings not only provide new insights into the genome structure of the large-scale loach but also establish a crucial reference point for omics studies and serve as an essential genomic resource for breeding programs in this species.
Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey model
Authors: Shuai Wang , Yiting Li , Shoubin Zhou , Lifei Chen , Pecht Michael 
Published: January 2025

Abstract
Remaining useful life (RUL) prediction is a crucial aspect of the prognostics health management of lithium-ion batteries (LIBs). Owing to the influence of resampling technology, particle degradation is often observed in the particle filter-based RUL prediction of LIBs, resulting in a low prediction accuracy and large uncertainty. In this paper, a novel particle flow filter with the grey model method (GM-PFF) is proposed to forecast the RUL and state of health of batteries. First, the least squares method is employed to obtain the initial values for double exponential empirical model parameters. Subsequently, the grey model is used to predict the current cycle capacity of LIBs as an observation value for the particle flow filter, solving the inaccurate estimation problem of the state of particle flow filter observation values, and the particle flow filter method is employed to update model parameters. Finally, a test dataset is divided into early, middle, and late stages to predict the RUL of LIBs and obtain the probability distributions. On the CALCE and NASA PCoE LIB dataset, GM-PFF reduces RMSE by 1% compared to PFF, exhibiting a higher prediction accuracy and effectively addressing the particle degradation problem.
Global transcriptional modulation and nutritional status of soybean plants following foliar application of zinc borate as a suspension concentrate fertilizer
Authors: Vendemiatti Eloisa , Moreira Rafael Oliveira , dos Reis Gabriel Lasmar , Hernandez-De Lira Inty Omar , Peña-Yewtukhiw Eugenia , Hippler Franz Walter Rieger , Torres-Dorante Luis Omar , Pavuluri Kiran , Valentine Alex , Nascimento Vitor L. , Benedito Vagner Augusto 
Published: January 2025

Abstract
The management of micronutrients, such as boron (B) and zinc (Zn), is critical for plant growth and crop yields. One method of rapid intervention crop management to mitigate nutritional deficiency is the foliar supply of B and Zn. Our study investigates the effect of foliar-supplied B and Zn availability on the global transcriptional modulation in soybean (Glycine max). The transcriptional response to B was more widespread compared to Zn. RNA-Seq of leaves under different B levels revealed modulated genes with potential roles in nutritional homeostasis and stress response that may be key to controlling B status in the plant. We also identified putative B transporters whose expression levels were significantly affected by B supplementation with foliar fertilization of plants growing under low B conditions. Furthermore, a gene lacking functional annotation (Glyma.03G180300) emerged as a novel potential marker of B status. Two genes (Glyma.16G118000, Glyma.16G199000) were consistently induced by Zn availability, highlighting their potential as biomarkers for assessing its status in soybean plants. This work advances our understanding of nutritional homeostasis in soybean plants and identifies target genes and potential molecular mechanisms involved in nutritional response. Our study informs fertilizer design targeting specific nutrient transporters, thereby enhancing nutrient efficiency in crops.
Label-free proteomic analysis of Duchenne and Becker muscular dystrophy showed decreased sarcomere proteins and increased ubiquitination-related proteins
Authors: da Silva Juliana Cristina Tobar , Nogueira Mariângela Rangel Alves , da Silva Yara Martins , Nogueira Fábio César Sousa , Canedo Nathalie Henriques Silva , Carneiro Katia , de Abreu Pereira Denise 
Published: January 2025

Abstract
Muscular dystrophies (MD) are a group of hereditary diseases marked by progressive muscle loss, leading to weakness and degeneration of skeletal muscles. These conditions often result from structural defects in the Dystrophin–Glycoprotein Complex (DGC), as seen in Duchenne Muscular Dystrophy (DMD) and Becker Muscular Dystrophy (BMD). Since MDs currently have no cure, research has focused on identifying potential therapeutic targets to improve patients’ quality of life. In this study, skeletal muscle tissue samples from DMD and BMD patients, as well as non-dystrophic controls, were analyzed using label-free mass spectrometry (MS/MS) to characterize the proteomic profile of these conditions and identify biomarkers for differential diagnosis. In-silico analysis revealed that dystrophic muscle tissues are linked to biological processes related to cellular energy metabolism, including oxidation of organic compounds, energy production, and cellular respiration. Enrichment of functions associated with cell structure and RNA binding was also observed, including cytoskeletal protein binding and RNA binding. The human phenotypes most related to the proteomic signature were abnormal circulating metabolites, muscle physiology, and weakness. Quantitative analysis identified significant changes in proteins associated with sarcomere organization and protein ubiquitination, such as myomesin, myozenin, and E3 ubiquitin-protein ligase rififylin, suggesting these as potential therapeutic targets.
DLCDroid an android apps analysis framework to analyse the dynamically loaded code
Authors: Bhan Rati , Pamula Rajendra , Kumar K Susheel , Jyotish Nand Kumar , Tripathi Prasun Chandra , Faruki Parvez , Gajrani Jyoti 
Published: January 2025

Abstract
To combat dynamically loaded code in anti-emulated environments, DLCDroid is an Android app analysis framework. DL-CDroid uses the reflection API to effectively identify information leaks due to dynamically loaded code within malicious apps, incorporating static and dynamic analysis techniques. The Dynamically Loaded Code (DLC) technique employs Java features to allow Android apps to dynamically expand their functionality at runtime. Unfortunately, malicious app developers often exploit DLC techniques to transform seemingly benign apps into malware once installed on real devices. Even the most sophisticated static analysis tools struggle to detect data breaches caused by DLC. Our analysis demonstrates that conventional tools areill-equipped to handle DLC. DLCDroid leverages dynamic code interposition techniques for API hooking to expose concealed malicious behavior without requiring modifications to the Android framework. DLCDroid can unveil suspicious behavior that remains hidden when relying solely on static analysis. We evaluate DLCDroid’s performance using a dataset comprising real-world benign and malware apps from reputed repositories like VirusShare and the Google Play Store. Compared to state-of-the-art approaches, the results indicate a significant improvement in detecting sensitive information leaks, more than 95.6% caused by reflection API. Furthermore, we enhance DLCDroid’s functionality by integrating it with an event-based trigger solution, making the framework more scalable and fully automated in its analysis process.
Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms
Authors: Frigieri Gustavo , Brasil Sérgio , Cardim Danilo , Czosnyka Marek , Ferreira Matheus , Paiva Wellingson S. , Hu Xiao 
Published: January 2025

Abstract
Noninvasive methods for intracranial pressure (ICP) monitoring have emerged, but none has successfully replaced invasive techniques. This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a cranial extensometer device (brain4care [B4C] System). The model explored multiple waveform parameters to optimize mean ICP estimation. Data from 112 neurocritical patients with acute brain injuries were used, with 92 patients randomly assigned to training and testing, and 20 reserved for independent validation. The ML model achieved a mean absolute error of 3.00 mmHg, with a 95% confidence interval within ±7.5 mmHg. Approximately 72% of estimates from the validation sample were within 0-4 mmHg of invasive ICP values. This proof-of-concept study demonstrates that noninvasive ICP estimation via the B4C System and ML is feasible. Prospective studies are needed to validate the model’s clinical utility across diverse settings.
Human response times are governed by dual anticipatory processes with distinct neural signatures
Authors: Ramayya Ashwin G. , Buch Vivek , Richardson Andrew , Lucas Timothy , Gold Joshua I. 
Published: January 2025

Abstract
Human behavior is strongly influenced by anticipation, but the underlying neural mechanisms are poorly understood. We obtained intracranial electrocephalography (iEEG) measurements in neurosurgical patients as they performed a simple sensory-motor task with variable (short or long) foreperiod delays that affected anticipation of the cue to respond. Participants showed two forms of anticipatory response biases, distinguished by more premature false alarms (FAs) or faster response times (RTs) on long-delay trials. These biases had distinct neural signatures in prestimulus neural activity modulations that were distributed and intermixed across the brain: the FA bias was most evident in preparatory motor activity immediately prior to response-cue presentation, whereas the RT bias was most evident in visuospatial activity at the beginning of the foreperiod. These results suggest that human anticipatory behavior emerges from a combination of motor-preparatory and attention-like modulations of neural activity, implemented by anatomically widespread and intermixed, but functionally identifiable, brain networks.
Coral reef restoration can reduce coastal contamination and pollution hazards
Authors: Rottmueller Marina E. , Storlazzi Curt D. , Frick Fabian 
Published: January 2025

Abstract
Coral reef restoration can reduce the wave-driven flooding for coastal communities. However, this protection has yet to be assessed in terms of the reduced risk of flood-driven environmental contamination. Here we provide the first high-resolution valuation of the reduction of flood-related land-based environmental pollution provided by potential coral reef restoration. Along Florida’s 460 km-long coral reef-fringed coastline, coral reef restoration could reduce the risk of sewage and petrochemical contamination by preventing the flooding of petroleum storage tank systems (-9%), onsite sewage treatment and disposal systems (-4%), and wastewater treatment plants (-10%). The present value of critical infrastructure protection and contamination prevention benefits provided by coral reef restoration is $3,413,503, with some areas exceeding $1,500,000/km. Annually, 48,403 U.S. gal of petrochemicals, 10,404 GPD of wastewater treatment capacity, equivalent to $281,435, could be protected from flooding, demonstrating that coral reef restoration can provide environmental risk reduction and previously undocumented additional socioeconomic benefits.
Inoculation reduces social media engagement with affectively polarized content in the UK and US
Authors: Smith Fintan , Simchon Almog , Holford Dawn , Lewandowsky Stephan 
Published: January 2025

Abstract
The generation and distribution of hyper-partisan content on social media has gained millions of exposure across platforms, often allowing malevolent actors to influence and disrupt democracies. The spread of this content is facilitated by real users’ engaging with it on platforms. The current study tests the efficacy of an ‘inoculation’ intervention via six online survey-based experiments in the UK and US. Experiments 1–3 (total N = 3276) found that the inoculation significantly reduced self-reported engagement with polarising stimuli. However, Experiments 4–6 (total N = 1878) found no effects on participants’ self-produced written text discussing the topic. The implications of these findings are discussed in the context of the literature on polarisation and previous interventions to reduce engagement with disinformation.
Rogue wave patterns in the nonlinear Schrödinger-Boussinesq system
Authors: Cheng Xiaoyu , Huang Qing 
Published: January 2025

Abstract
To the nonlinear Schr"{o}dinger--Boussinesq system, with the aid of Adler--Moser polynomials we predict the patterns of higher-order rogue wave solutions containing multiple large parameters. The new interesting rogue wave patterns of a number of true and predicted solutions are graphically illustrated, including fan-, heart-shaped structures and their skewed versions. The results are significant for both experimental and theoretical studies of rogue wave patterns of integrable systems.
Physics design of current drive and strategy of heating system for EHL-2 spherical torus
Authors: JIANG 姜 Xinchen 欣辰 , SHI 石 Yuejiang 跃江 , SONG 宋 Shaodong 绍栋 , LIU 刘 Wenjun 文军 , YANG 杨 Guang 光 , SONG 宋 Xianming 显明 , WANG 王 Xueyun 雪韵 , GU 顾 Xiang 翔 , YIN 尹 Gang 刚 , YANG 杨 Danke 丹可 , ZHAO 赵 Hanyue 寒月 , WANG 王 Yumin 嵎民 , XIE 谢 Huasheng 华生 , LI 李 Pengmin 鹏敏 , WANG 王 Hanqing 汉清 , ZHANG 张 Keqing 克卿 , HAN 韩 Lei 磊 , WU 邬 Xiaohe 潇河 , LIU 刘 Chengyue 成岳 , WU 吴 Bin 斌 , SONG 宋 Chengyi 城邑 , LI 李 Chunyan 春艳 , CHEN 陈 Jiakang 嘉康 , ZHENG 郑 Pingwei 平卫 , BANERJEE Debabrata , YANG 杨 Qingwei 青巍 , DONG 董 Jiaqi 家齐 , LIANG 梁 Yunfeng 云峰 , YUAN 袁 Baoshan 保山 , PENG 彭 Yueng-Kay Martin 元凯 , ZHANG 张 Xianmei 先梅 , Team the EHL-2 
Published: January 2025

Abstract
ENN He Long-2 (EHL-2) is the next-generation large mega-Ampere (MA) spherical torus (ST) proposed and funded by the ENN company. The design parameters are: T
i0 > 30 keV,

, I
p ~ 3 MA, B
t ~ 3 T. One of the biggest challenges of EHL-2 is how to achieve several MA current flat-tops with limited voltage-seconds (Vs) of the center solenoid (CS) coils. In order to minimize the consumption of Vs, a fully non-inductive start-up by electron cyclotron resonance heating (ECRH) will be applied in EHL-2. The ramp-up phase will be accomplished with the synergetic mode between the CS and non-inductive methods. The strategy of non-inductive start-up and ramp-up with synergetic mode has been verified on EXL-50U’s experiments. Based on this strategy, numerical simulations indicate the feasibility of EHL-2 achieving 3 MA plasma current. A high-performance steady-state scenario with I
p ~ 1.5 MA is also designed. In this scenario, the bootstrap current fraction f
BS > 70%, the safety factor q at the magnetic axis q
0 > 2, the minimum safety factor q
min > 1, the poloidal beta β
p > 3 and normalized beta β
N > 2.3. Each design iteration integrates the validation of physical models with the constraints of engineering implementation, gradually optimizing the performance of the heating and current drive (H&CD) systems. Numerical simulation results for general auxiliary H&CD systems such as neutral beam injection (NBI), electron cyclotron (EC) wave, ion cyclotron wave (ICW), and lower hybrid wave (LHW) are presented. These simulation results ensure that the 31 MW H&CD systems comprehensively cover all scenarios while maintaining engineering feasibility.
Seven Challenges for the Science of Animal Minds
Authors: Dacey Mike 
Published: January 2025

Abstract
The scientific study of animal minds is difficult. This book examines the most significant reasons this is so: seven challenges for the science to overcome. Researchers are aware of these challenges, but few take any of them head-on, and none address them collectively as this book does. Despite this focus on challenges, the book’s orientation is optimistic; these are challenges for the science, not challenges to the science. Researchers have made substantial progress as things are. But taking the challenges head-on can help build an even stronger, more vibrant science. The seven challenges are: 1) underdetermination of theory by data, 2) anthropomorphic bias, 3) modeling cognitive processes, 4) integrating across disciplines, 5) ecological validity, 6) small sample sizes, and 7) measuring consciousness. For each, the book suggests rethinking the challenge and reorienting our attempts to address it. Each of the main chapters addresses one challenge and includes an empirical case study, from social reasoning in chimpanzees to consciousness in octopuses. Along the way, a big-picture framework emerges for drawing conclusions about animal minds from experimental evidence. In this framework, the role of any individual piece of the science is limited—any individual experiment, model, claim, or argument. We need to holistically consider all the evidence we can get.
Underdetermination
Authors: Dacey Mike 
Published: January 2025

Abstract
This chapter addresses the challenge of underdetermination of theory by data: typically, many candidate theories or models of animal minds are at least consistent with any given experimental result. This challenge has reached its purest form as “the logical problem” in the debate about chimpanzee mind-reading. The chapter suggests a shift towards modesty in evidential claims, including claims of parsimony and evidential interpretations of experiments. To draw conclusions, evidence must be collected from wherever it can be found, structured in some way, and considered holistically as an inference to the best explanation.
Anthropomorphic Bias
Authors: Dacey Mike 
Published: January 2025

Abstract
This chapter addresses the challenge of anthropomorphic bias: that humans, including researchers, have a bias towards anthropomorphic explanations. Researchers on topics related to animal minds have long worried such a bias might lead the science to error. This chapter argues that existing views and attempts to control anthropomorphism in the science miss the complexity of the problem. Anthropomorphism, of the sort the field should be worried about, is an unconscious cognitive bias. Its effects are likely unpredictable and multifarious. We need more research on human psychology before we can confidently design ameliorative interventions. The chapter presents some early attempts at developing the kind of implicit measure of anthropomorphism that might help. In this chapter, the psychology of human anthropomorphic bias is the main empirical example.
Sample Size and Generalizability
Authors: Dacey Mike 
Published: January 2025

Abstract
This chapter addresses the problem of sample size and its implications for the generalizability of experimental results. For several practical reasons, laboratory experiments involving animals are often severely limited in the number of individuals they can include. Given the recent replication crisis in other branches of psychology, this feature of the field has been gaining more attention. This chapter focuses on the related, but distinct, question of whether results from experiments using small samples can be generalized to claims about a species overall. It uses work on chimpanzee working memory as its primary example. The chapter suggests interpreting these studies in some ways as one would an experiment, and in other ways as one would a case study or anecdotal report.
Conclusion: Of a Different Mind
Authors: Dacey Mike 
Published: January 2025

Abstract
This Conclusion sums up the big-picture view of the science of animal minds which has emerged through the book and reiterates actionable suggestions from earlier chapters. The general approach suggested is a holistic inference to the best explanation, which considers all relevant evidence and may often require judgment calls about what counts as an instance of the capacity under question. This replaces features of current standard practice that have been difficult to dislodge despite recent criticism. There are also suggestions specific to model evaluation, statistical methods, experimental design, and model building.
Foundations of American Criminal Due Process at Trial
Authors: Herrmann Francis R , Speer Brownlow M 
Published: January 2025

Abstract
The workings of the American criminal justice system are familiar to virtually the entire citizenry. Through films, television, and popular print media, its hallmark principles of fairness and protection of the rights of the accused are widely understood. The popular culture has absorbed relatively sophisticated doctrines of the criminal law, such as the right to confront accusers face to face and to remain silent when charged with a crime. The average individual knows that these and other principles of criminal justice are rooted in the Bill of Rights of the American Constitution. This perception is true to the extent that trial by jury, the most cherished feature of the American criminal justice system, comes to us directly from early thirteenth-century England and is obliquely referenced in Magna Carta. But it fails to take into account the diverse origins of specific rights that make the jury system the byword for fair trial procedure. The rights to remain silent and to confront opposing witnesses, the presumption of innocence, the protection against double jeopardy, the requirement that conviction demands a high standard of proof, the rule that confessions be voluntary, and the guarantee of a trial conducted in accordance with standard rules of evidence—none of these integral parts of due process originated in the common law of England. This book joins an emerging body of work that seeks to place the American legal experience within a larger Western tradition.