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Twelve papers stand behind this book, and the people who have read them tell me they are heavy. They are not heavy. They are twelve doors into one small room, and standing in the middle of that room is a question a child could ask: why do ordinary people, who love their children and feed their neighbours, take part in terrible things? That is the whole of it. The gods and the ghosts, the wolves and the starlings, the steel fortunes and the banned poems, the refugee tents and the thinking machines — all of it is one slow walk around that single question, looking at it from a different side each time, the way you circle a statue in a square to watch what the face does in a changed light. So rather than hand you twelve papers, let me hand you a house. Imagine we are standing outside it at dusk. It is very old, older than any family inside it can remember, and every generation has added to it, so that some rooms are cut stone and some are glass, and the joins between them are visible if you know where to look. There is a fire burning in the middle of the house, and every room draws its warmth from that one fire. The fire is us. It is the human heart with everything in it: the need to belong, the fear of dying, the hunger for meaning, the love of our own people. That fire built every good thing in the house — the hospital, the library, the constitution, the poem that outlived the empire that banned it. It has also burned the house down, more than once, and the ash is in the foundations of every room we are about to walk through. Twelve papers. Twelve rooms. The same fire in all of them. Take my hand. It is warmer inside. The fire is the same. Only the room changes. The First Room: Where We Speak to the Dark Gods, Ghosts, Oracles, and Spirits The first room has a window with no glass in it, facing out into the night. Long before anyone built a temple, someone buried a body. Not discarded — buried. At Sungir, on the Russian plain some thirty-four thousand years ago, two children were laid head to head and covered in thousands of ivory beads that would have taken years of labour to make, along with spears straightened from mammoth tusk. Red ochre was worked into the ground around them. Think about what that means. To put a bead or a spoon or a handful of grain into a grave is to say, without any words at all: you still are. You have gone somewhere, and you may be hungry when you arrive. That is the oldest human sentence we possess, and it was spoken without a language. Everything grows out of that one gesture with a kind of terrible logic. If the dead still are, they can hear. If they can hear, they can be asked. If they can be asked, someone in the village has to learn to ask properly — and so we get the specialist who drums himself into a place the others cannot reach and comes back with news.

This dataset contains processed protein-level quantitative proteomics results from a TMT-multiplex LC-MS/MS study of human 22Rv1 cells under vehicle and compound-treatment conditions at 6 h and 24 h. Files include filtered protein abundance and annotations, normalized protein abundance, and differential-expression statistics. Twenty-four Thermo RAW fractions were acquired using an Orbitrap Exploris 240 platform. The vendor RAW files and original Proteome Discoverer search output are not included in this version and are being prepared for deposition in PRIDE/ProteomeXchange. A PRIDE accession will be added in a later dataset version. These CSV tables are downstream protein-level summaries and do not contain peptide-spectrum matches or the complete database-search evidence.

WasteSegCluster is a dataset developed to support automated waste monitoring in aquatic environments of Bangladesh where poor waste management in canals, lakes and ponds poses serious environmental and public health challenges.Due to the lack of real-world datasets capturing waste in complex and unconstrained conditions, this dataset was created using images collected from various water bodies in Dhaka.It contains 1,947 images with approximately 3,900 annotated waste instances across four categories such as i. Composite Rubber Textile, ii.Organic, iii.Paper and iv.Plastic.All instances are annotated using polygon-based masks and provided in COCO format and it make the dataset suitable for object detection,instance segmentation and classification tasks.

Source code and data to replicate the results presented in the paper "Optimizing backward elimination predictor selection for Partial Least Squares regression models" by Tim Offermans, currently in submission. Running "script.py" should regenerate all results, but do check that you have the correct (versions of) the Python packages used.

The table data in the manuscript “Thermodynamic and Kinetic Insights on Rare-Earth Carbonate Crystallization.

Adaptive immune responses are distributed across anatomically distinct compartments of the human respiratory tract, yet comparative characterization of transcriptome-derived T-cell receptor (TCR) repertoires across these compartments remains limited. Here, we reconstructed transcriptome-derived T-cell receptor repertoires from bulk RNA-seq using TRUST4 to compare peripheral blood (n = 24), bronchoalveolar lavage (BAL; n = 55), and induced sputum (n = 100) from a well-characterized rural Ugandan cohort comprising individuals with and without HIV infection and chronic obstructive pulmonary disease (COPD). Comparative analyses revealed marked differences in productive TCR recovery, clonotype richness, diversity, and clonotype sharing across anatomical compartments, with induced sputum yielding fewer reconstructed clonotypes than BAL and peripheral blood despite comparable sequencing depth. In contrast, TRBV gene usage, CDR3 length distributions, amino acid composition, and global TRB sequence-space organization were broadly conserved. Together, these findings establish a comparative reference framework for transcriptome-derived TCR repertoire analysis across peripheral blood and the human respiratory tract.

Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disorder for which effective and acceptable treatments remain needed. Evidence regarding the efficacy and safety of individualized homeopathic medicines (IHMs) in NAFLD is limited. A randomized, double-blind, placebo-controlled trial was conducted in adults with NAFLD. Participants were allocated 2:1 to IHMs or placebo, alongside supportive care comprising lifestyle, dietary, sleep, and physical-activity advice. The prespecified primary efficacy estimand was the baseline-adjusted, multiplicity-corrected between-group difference in serum alanine aminotransferase (ALT) after 3 months. Secondary outcomes included aspartate aminotransferase, total, direct, and indirect bilirubin, total protein, albumin, globulin, alkaline phosphatase, total cholesterol, triglycerides, high- and low-density lipoprotein cholesterol, and very-low-density lipoprotein cholesterol, measured after 3 months; the Chronic Liver Disease Questionnaire (CLDQ) and Measure Yourself Medical Outcome Profile, version 2.0 (MYMOP2), measured monthly, until 3 months. Safety was measured throughout. Of 105 assessed individuals, 72 were randomized: IHMs 48, placebo 24. At month 3, the baseline-adjusted mean difference in ALT was −1.562 IU/L (95% CI −4.873 to 7.998; multiplicity-adjusted p = 0.769). No statistically significant between-group differences were identified for the other liver profile, lipid profile, CLDQ, or MYMOP2 after multiplicity correction. Blinding appeared adequate. Six mild adverse events occurred, three in each group; all resolved without sequelae. In adults with NAFLD, although safe, IHMs did not demonstrate a statistically significant or clinically meaningful benefit over placebo for the prespecified ALT or the measured secondary biochemical, quality-of-life, and symptom outcomes after 3 months.

Successful image ads are liked, shared, and remembered. Although the success of an image ad can often be understood with the benefit of hindsight, predicting image ad success ex ante remains challenging. We integrate established ideas from advertising and visual-evaluation research into an ad-level framework that relates five constructs—typicality, complexity, ease of understanding, enjoyment, and interest—to liking, sharing, and memorability. The framework provides an interpretable representation of an image’s aggregate evaluative profile. We assess the proposed structure using human judgment data for 300 Facebook image ads posted by three fast-food chains and estimate a measurement-error corrected path model at the image level. To enable scalable implementation, we operationalize the five constructs using computational measures derived from pixel-level, object-level, and design-level image features. These measures approximate human image-level evaluations and provide automated image-level scores associated with ad success. As a supplementary robustness check, we examine whether a persona-conditioned synthetic consumer panel recovers similar image-level ratings. Agreement is strongest for typicality and complexity and weaker for enjoyment and interest, indicating that synthetic panels can complement, but not replace, direct computational measures and observed human judgments. By combining conceptual integration with interpretable computer-vision operationalization, the proposed framework provides a scalable and practically implementable approach to image ad diagnosis, pretesting, and design iteration.

This study aims to fill this gap by building and empirically testing a structural model through Partial Least Squares Structural Equation Modeling (PLS-SEM) and analyzing 606 valid questionnaires from business customers who have previously used ChatGPT for business purposes.

We followed 64 older parent–adult child dyads engaging in a collaborative drawing–guessing game. Assessments occurred at baseline, immediately after an initial session, and one month later, with home-based play scheduled three times weekly.