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New evidence for early Indian Ocean trade routes into the South African interior

Proceedings of the National Academy of Sciences Alexander Antonites, Annie R. Antonites, Christian E. Peterson et al. Feb 04, 2025 DOI: 10.1073/pnas.2419077122

The rise and spread of ancient Indian Ocean Rim (IOR) trade networks profoundly impacted southern Africa. Control over this trade played a critical role in the rise and maintenance of complex societies of the second millennium CE such as Mapungubwe and Great Zimbabwe. While the African origins of this trade lie in the first millennium CE, understanding its earliest phases and subsequent development in the far south has been hampered by a general paucity of research. The recovery of Persian Gulf ceramic sherds and Asian glass beads from the Letaba region of northeastern South Africa demonstrates that communities up to 400 km inland were already part of IOR trade by the 10th century. Although glass beads have been found at several late first millennium CE sites throughout the region, glazed wares are much rarer by comparison. In southern Africa, archaeological sites with Persian Gulf ceramics largely date to between the 9th and 10th centuries with a distribution limited to the Limpopo River’s main tributaries. This distribution poses new questions about early IOR trade routes into the southern African interior and suggests Xai-Xai in southern Mozambique as a possible entry point for early IOR trade.

Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact

Scientific Reports A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver et al. Feb 04, 2025 DOI: 10.1038/s41598-024-82915-5

How should the advancement of large language models affect the practice of science?

Proceedings of the National Academy of Sciences Marcel Binz, Stephan Alaniz, Adina Roskies et al. Feb 04, 2025 DOI: 10.1073/pnas.2401227121

Large language models (LLMs) are being increasingly incorporated into scientific workflows. However, we have yet to fully grasp the implications of this integration. How should the advancement of large language models affect the practice of science? For this opinion piece, we have invited four diverse groups of scientists to reflect on this query, sharing their perspectives and engaging in debate. Schulz et al. make the argument that working with LLMs is not fundamentally different from working with human collaborators, while Bender et al. argue that LLMs are often misused and overhyped, and that their limitations warrant a focus on more specialized, easily interpretable tools. Marelli et al. emphasize the importance of transparent attribution and responsible use of LLMs. Finally, Botvinick and Gershman advocate that humans should retain responsibility for determining the scientific roadmap. To facilitate the discussion, the four perspectives are complemented with a response from each group. By putting these different perspectives in conversation, we aim to bring attention to important considerations within the academic community regarding the adoption of LLMs and their impact on both current and future scientific practices.

Identification of a comprehensive set of transcriptional regulators involved in the long-term survivability of Escherichia coli in soil

Scientific Reports Soma Nakamoto, Ikki Kobayashi, Koichi Watanabe et al. Feb 04, 2025 DOI: 10.1038/s41598-025-85609-8

14-3-3 promotes sarcolemmal expression of cardiac Ca <sub>V</sub> 1.2 and nucleates isoproterenol-triggered channel superclustering

Proceedings of the National Academy of Sciences Heather C. Spooner, Alexandre D. Costa, Maartje Westhoff et al. Feb 04, 2025 DOI: 10.1073/pnas.2413308122

The L-type Ca 2+ channel (Ca V 1.2) is essential for cardiac excitation–contraction coupling. To contribute to the inward Ca 2+ flux that drives Ca 2+ -induced-Ca 2+ -release, Ca V 1.2 channels must be expressed on the sarcolemma; thus the regulatory mechanisms that tune Ca V 1.2 expression to meet contractile demand are an emerging area of research. A ubiquitously expressed protein called 14-3-3 has been proposed to affect Ca 2+ channel trafficking in nonmyocytes; however, whether 14-3-3 has similar effects on Ca V 1.2 in cardiomyocytes is unknown. 14-3-3 preferentially binds phospho-serine/threonine residues to affect many cellular processes and is known to regulate cardiac ion channels including Na V 1.5 and the human ether-à-go-go–related gene (hERG) potassium channel. Altered 14-3-3 expression and function have been implicated in cardiac pathologies including hypertrophy. Accordingly, we tested the hypothesis that 14-3-3 interacts with Ca V 1.2 in a phosphorylation-dependent manner and regulates cardiac Ca V 1.2 trafficking and recycling. Confocal imaging, proximity ligation assays, superresolution imaging, and coimmunoprecipitation revealed a population of 14-3-3 colocalized and closely associated with Ca V 1.2. The degree of 14-3-3/Ca V 1.2 colocalization increased upon stimulation of β -adrenergic receptors with isoproterenol. Notably, only the 14-3-3-associated Ca V 1.2 population displayed increased cluster size with isoproterenol, revealing a role for 14-3-3 as a nucleation factor that directs Ca V 1.2 superclustering. Isoproterenol-stimulated augmentation of sarcolemmal Ca V 1.2 expression, Ca 2+ currents, and Ca 2+ transients in ventricular myocytes were strengthened by 14-3-3 overexpression and attenuated by 14-3-3 inhibition. These data support a model where 14-3-3 interacts with Ca V 1.2 in a phosphorylation-dependent manner to promote enhanced trafficking/recycling, clustering, and activity during β -adrenergic stimulation.

Production of novel theranostic nano-vector based on superparamagnetic iron oxide nanoparticles/miR-497 targeting colorectal cancer

Scientific Reports Asmaa M. Elfiky, May M. Eid, May El-Manawaty et al. Feb 04, 2025 DOI: 10.1038/s41598-025-88165-3

Abstract Colorectal cancer (CRC) is a serious public health concern worldwide. Immune checkpoint inhibition medication is likely to remain a crucial part of CRC clinical management. This study aims to create new super paramagnetic iron oxide nano-carrier (SPION) that can effectively transport miRNA to specific CRC cell lines. In addition, evaluate the efficiency of this nano-formulation as a therapeutic candidate for CRC. Bioinformatics tools were used to select a promising tumor suppressor miRNA (mir-497-5p). Green route, using Fusarium oxyporium fungal species, manipulated for the synthesis of SPION@Ag@Cs nanocomposite as a carrier of miR-497-5p. That specifically targets the suppression of PD1/PDL1 and CTLA4pathways for colorectal therapy. UV/visible and FTIR spectroscopy, Zeta potential and MTT were used to confirm the allocation of the miR-497 on SPION@Ag@Cs and its cytotoxicity against CRC cell lines. Immunofluorescence was employed to confirm transfection of cells with miR-497@NPs, and the down- regulation of CTLA4 in HT29, and Caco2 cell lines. On the other hand, PDL1 showed a significant increase in colorectal cell lines (HT-29 and Caco-2) in response to mir497-5p@Nano treatment. The data suggest that the mir-497 -loaded SPION@Ag@Cs nano-formulation could be a good candidate for the suppression of CTLA4in CRC human cell lines. Consequently, the targeting miR-497/CTLA4 axis is a potential immunotherapy treatment strategy for CRC.

Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony

Proceedings of the National Academy of Sciences Marina Dubova, Suyog Chandramouli, Gerd Gigerenzer et al. Feb 04, 2025 DOI: 10.1073/pnas.2401230121

The preference for simple explanations, known as the parsimony principle, has long guided the development of scientific theories, hypotheses, and models. Yet recent years have seen a number of successes in employing highly complex models for scientific inquiry (e.g., for 3D protein folding or climate forecasting). In this paper, we reexamine the parsimony principle in light of these scientific and technological advancements. We review recent developments, including the surprising benefits of modeling with more parameters than data, the increasing appreciation of the context-sensitivity of data and misspecification of scientific models, and the development of new modeling tools. By integrating these insights, we reassess the utility of parsimony as a proxy for desirable model traits, such as predictive accuracy, interpretability, effectiveness in guiding new research, and resource efficiency. We conclude that more complex models are sometimes essential for scientific progress, and discuss the ways in which parsimony and complexity can play complementary roles in scientific modeling practice.

The unskilled-and-unaware problem and performance feedback in monotonous, easily accustomed, and repetitive work

Scientific Reports Yasuhiro Nakamoto, Tomoharu Mori Feb 04, 2025 DOI: 10.1038/s41598-025-88457-8

Abstract The current research examined whether people predict their performance on monotonous, easily accustomed, and repetitive (MEAR) tasks accurately and confirm the effects of performance feedback on their MEAR work predictions. Considering typing on the keyboard as an MEAR task in modern society, 128 university students were asked to type a 12-digit number displayed on each monitor within 5 minutes, explaining that there would be 75 typing problems and participants would receive 20 yen per correct answer. Additionally, participants were informed that they could earn money by reaching a self-determined performance target, with the condition that if they did not reach their self-set goal, they would not receive any earnings. The main findings were as follows: Regardless of the performance levels of typing on keyboards, only 23% of the participants reached the goal, indicating that the absence of performance feedback led to individuals’ overestimation of performance. In contrast, providing feedback significantly improved performance predictions: 76% of the participants reached the goal with feedback on their own performance, 70% with feedback on others’ performance, and 88% with feedback on both their own and others’ performance information. Specifically, the effects between one’s own and others’ performance feedback did not vary at statistically significant levels.

Fatty acid metabolism and the oxidative stress response support bacterial predation

Proceedings of the National Academy of Sciences Rikesh Jain, Nguyen-Hung Le, Lionel Bertaux et al. Feb 04, 2025 DOI: 10.1073/pnas.2420875122

Despite growing awareness of their importance in soil ecology, the genetic and physiological traits of bacterial predators are still relatively poorly understood. In the course of a Myxococcus xanthus predator evolution experiment, we identified a class of genotypes leading to enhanced predation against diverse species. RNA-seq analysis demonstrated that this phenotype is linked to the constitutive activation of a predation-specific program. Functional analysis of the mutations accumulated across the evolutionary time in a two-component system and Acyl-CoA-manipulating enzymes revealed the critical roles of fatty acid metabolism and antioxidant gene induction. The former likely adapts the predator to metabolites derived from the prey while the latter protects predatory cells from reactive oxygen species generated by prey cells under stress and released upon lysis during predation. These findings reveal interesting parallels between bacterial predator–prey dynamics and pathogen–host cell interactions.

Yiqi Juanshen decoction alleviates renal interstitial fibrosis by targeting the LOXL2/PI3K/AKT pathway to suppress EMT and inflammation

Scientific Reports Kaiyue Tan, Jingwei Deng, Yi Liu et al. Feb 04, 2025 DOI: 10.1038/s41598-025-86622-7

The present and future of peer review: Ideas, interventions, and evidence

Proceedings of the National Academy of Sciences Balazs Aczel, Ann-Sophie Barwich, Amanda B. Diekman et al. Feb 04, 2025 DOI: 10.1073/pnas.2401232121

What is wrong with the peer review system? Is peer review sustainable? Useful? What other models exist? These are central yet contentious questions in today’s academic discourse. This perspective critically discusses alternative models and revisions to the peer review system. The authors highlight possible changes to the peer review system, with the goal of fostering further dialog among the main stakeholders, including producers and consumers of scientific research. Neither our list of identified issues with the peer review system nor our discussed resolutions are complete. A point of agreement is that fair assessment and efficient change would require more comprehensive and rigorous data on the various aspects of the peer review system.

Study of evolution for 3D structured surface with nano-balls and walls-like features with thickness variation for WO3 thin films made by spray deposition

Scientific Reports Mirela Petruta Suchea, Ioan Valentin Tudose, Cosmin Romanitan et al. Feb 04, 2025 DOI: 10.1038/s41598-025-88121-1

Dialogues about the practice of science

Proceedings of the National Academy of Sciences Richard M. Shiffrin, Jennifer S. Trueblood, David Kellen et al. Feb 04, 2025 DOI: 10.1073/pnas.2423782122

Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques

Scientific Reports Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela et al. Feb 04, 2025 DOI: 10.1038/s41598-025-88297-6

Discourse on measurement

Proceedings of the National Academy of Sciences Arthur Paul Pedersen, David Kellen, Conor Mayo-Wilson et al. Feb 04, 2025 DOI: 10.1073/pnas.2401229121

Measurement literacy is required for strong scientific reasoning, effective experimental design, conceptual and empirical validation of measurement quantities, and the intelligible interpretation of error in theory construction. This discourse examines how issues in measurement are posed and resolved and addresses potential misunderstandings. Examples drawn from across the sciences are used to show that measurement literacy promotes the goals of scientific discourse and provides the necessary foundation for carving out perspectives and carrying out interventions in science.

Benefits of Gardenia jasminoides Ellis’s floral volatile components on human emotions and moods

Scientific Reports Yan Cai, Hannan Chen, Xin Zhang et al. Feb 04, 2025 DOI: 10.1038/s41598-024-84190-w

PgpP is a broadly conserved phosphatase required for phosphatidylglycerol lipid synthesis

Proceedings of the National Academy of Sciences Angelika Gründling, Anna P. Brogan, Michael J. James et al. Feb 04, 2025 DOI: 10.1073/pnas.2418775122

The cytoplasmic membrane of bacteria is composed of a phospholipid bilayer made up of a diverse set of lipids. Phosphatidylglycerol (PG) is one of the principal constituents and its production is essential for growth in many bacteria. All the enzymes required for PG biogenesis in Escherichia coli have been identified and characterized decades ago. However, it has remained poorly understood how gram-positive bacteria perform the terminal step in the pathway that produces this essential lipid. In E. coli, this reaction is mediated by three functionally redundant phosphatases that convert phosphatidylglycerophosphate (PGP) into PG. Here, we show that homologs of these enzymes in Bacillus subtilis are not required for PG synthesis. Instead, we identified a previously uncharacterized B. subtilis protein, YqeG (renamed PgpP), as an essential enzyme required for the conversion of PGP into PG. Expression of B. subtilis or Staphylococcus aureus PgpP in E. coli lacking all three Pgp enzymes supported the growth of the strain. Furthermore, depletion of PgpP in B. subtilis led to growth arrest, reduced membrane lipid staining, and accumulation of PGP. PgpP is broadly conserved among Firmicutes and Cyanobacteria. Homologs are also present in yeast mitochondria and plant chloroplasts, suggesting that this widely distributed enzyme has an ancient origin. Finally, evidence suggests that PgpP homologs are essential in many gram-positive pathogens and thus the enzyme represents an attractive target for antibiotic development.

A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning

Scientific Reports E. Sreehari, L. D. Dhinesh Babu Feb 04, 2025 DOI: 10.1038/s41598-025-87826-7

Abstract Effective Breast cancer (BC) analysis is crucial for early prognosis, controlling cancer recurrence, timely medical intervention, and determining appropriate treatment procedures. Additionally, it plays a significant role in optimizing mortality rates among women with breast cancer and increasing the average lifespan of patients. This can be achieved by performing effective critical feature analysis of the BC by picking superlative features through significant ranking-based Feature Selection (FS). Various authors have developed strategies relying on single FS, but this approach may not yield excellent results and could lead to various consequences, including time and storage complexity issues, inaccurate results, poor decision-making, and difficult interpretation of models. Therefore, critical data analysis can facilitate the development of a robust ranking methodology for effective feature selection. To solve these problems, this paper suggests a new method called Aggregated Coefficient Ranking-based Feature Selection (ACRFS), which is based on tri chracteristic behavioral criteria. This strategy aims to significantly improve the ranking for an effective Attribute Subset Selection (ASSS). The proposed method utilized computational problem solvers such as chi-square, mutual information, correlation, and rank-dense methods. The work implemented the introduced methodology using Wisconsin-based breast cancer data and applied the Synthetic Minority Oversampling Technique (SMOTE) to the obtained data subset. Later, we employed models such as decision trees, support vector machines, k-nearest neighbors, random forests, stochastic gradient descent, and Gaussian naive bayes to determine the type of cancer. The classification metrics such as accuracy, precision, recall, F1 score, kappa score, and Matthews coefficient were utilized to evaluate the effectiveness of the suggested ACRFS approach. The proposed method has demonstrated superior outcomes with fewer features and a minimal time complexity.

Bubble coalescence principle in saline water

Proceedings of the National Academy of Sciences Danlong Li, Rogerio Manica, Zhixiang Chen et al. Feb 04, 2025 DOI: 10.1073/pnas.2417043122

Bubbles present in saline water typically exhibit a prolonged lifetime, making them attractive for various engineering processes. Herein, we unveil a transition from delayed bubble coalescence to rapid bursting within about one millisecond in salty solutions. The key aspect in understanding this transition lies in the combined influences of surface deformation and ion surface excess instead of characterizing the ions alone. Only with a sufficiently deformed region trapped between the colliding bubble and fluid surfaces can the coalescence inhibition effect be maintained to cause the bouncing behavior. Thus, we quantify a consistent upper limit of ion transfer content required for instant coalescence under different salty conditions. Furthermore, we present numerical ranges associated with different bubble behaviors in terms of E o , R e , and W e and determine the critical values to predict bubble dynamics. Our findings shed light on the bubble coalescence principle in saline water and allow access to the regulation of coalescence time based on the requirement of technological applications.

Sphingosine kinase 1 promotes M2 macrophage infiltration and enhances glioma cell migration via the JAK2/STAT3 pathway

Scientific Reports Zihan Song, Zijun Zhao, Xuehua Liu et al. Feb 04, 2025 DOI: 10.1038/s41598-025-88328-2