Scientific Abstract Generator

${escapeHTML(data.title.toUpperCase() || "TITLE PENDING")}

${escapeHTML(data.authors || "Authors Pending")}

${abstractText ? escapeHTML(abstractText) : 'Abstract content is empty. Please fill out tabs 2 and 3.'}

TOTAL WORD COUNT: ${totalWords} / ${maxTotalWords}

${data.context ? `

Context: ${escapeHTML(data.context)}

` : ''} `; }; const getTxtContent = () => { const data = getAbstractData(); const abstractText = [ data.background, data.method, data.results, data.conclusion ].filter(p => p.trim()).join(' ').trim(); const totalWords = countWords(abstractText); let content = `--- SCIENTIFIC ABSTRACT ---\n\n`; content += `TITLE: ${data.title.toUpperCase()}\n`; content += `AUTHORS: ${data.authors}\n`; content += `CONTEXT: ${data.context}\n`; content += `\nTOTAL WORDS: ${totalWords}\n`; content += `\nABSTRACT TEXT:\n\n`; content += abstractText; return content; }; const downloadTxt = () => { const txtContent = getTxtContent(); const data = getAbstractData(); const blob = new Blob([txtContent], { type: 'text/plain;charset=utf-8' }); const a = document.createElement('a'); a.href = URL.createObjectURL(blob); a.download = `${data.title.replace(/ /g, '_').substring(0, 30) || 'abstract'}.txt`; document.body.appendChild(a); a.click(); document.body.removeChild(a); URL.revokeObjectURL(a.href); }; const downloadPDF = () => { if (typeof window.jspdf === 'undefined' || typeof window.jspdf.jsPDF === 'undefined') { alert('Error: jsPDF library not loaded.'); return; } const { jsPDF } = window.jspdf; const doc = new jsPDF('p', 'mm', 'a4'); const data = getAbstractData(); const abstractText = [ data.background, data.method, data.results, data.conclusion ].filter(p => p.trim()).join(' ').trim(); const totalWords = countWords(abstractText); const margin = 20; const pageWidth = doc.internal.pageSize.getWidth(); const usableWidth = pageWidth - (margin * 2); let yPos = 20; const addWrappedText = (text, size, style, color = [52, 73, 94], align = 'left', indent = 0) => { doc.setFontSize(size); doc.setFont(undefined, style); doc.setTextColor(color[0], color[1], color[2]); const splitText = doc.splitTextToSize(text, usableWidth - indent); if (yPos + (splitText.length * 5) > 280) { doc.addPage(); yPos = 20; } doc.text(splitText, margin + indent, yPos); yPos += (splitText.length * 5) + 3; }; // --- Build PDF Document --- // 1. Title addWrappedText(data.title.toUpperCase(), 16, 'bold', [44, 62, 80], 'center', 0); yPos -= 2; // 2. Authors addWrappedText(data.authors, 12, 'normal', [108, 117, 125], 'center', 0); yPos += 3; // 3. Context & Word Count addWrappedText(`${data.context} | Total Words: ${totalWords}`, 10, 'normal', [108, 117, 125], 'center', 0); yPos += 10; // 4. Abstract Body doc.setFontSize(11); doc.setFont(undefined, 'normal'); doc.setTextColor(52, 73, 94); // The abstract text should be a single, indented paragraph addWrappedText(abstractText, 11, 'normal', [52, 73, 94], 'justify', 10); // 10mm indent doc.save(`${data.title.replace(/ /g, '_').substring(0, 30) || 'abstract'}.pdf`); }; // --- Event Listeners --- // Tab Buttons tabButtons.forEach((btn, index) => { btn.addEventListener('click', () => showTab(index + 1)); }); // Next/Prev Navigation nextBtn.addEventListener('click', () => showTab(currentTab + 1)); prevBtn.addEventListener('click', () => showTab(currentTab - 1)); // Word Count Updates attachWordCountListeners(); // Tab 4 Actions refreshBtn.addEventListener('click', generatePreview); downloadPdfBtn.addEventListener('click', downloadPDF); downloadTxtBtn.addEventListener('click', downloadTxt); // --- Initialization --- // Finalize setup inputs (Pre-populate example data) inputs.title.value = "Influence of Gravity Fields on Neural Network Convergence Speed"; inputs.authors.value = "Dr. Alice V. Keller (MIT), Dr. Ben L. Simmons (CalTech)"; inputs.context.value = "The Journal of Space Computing, Vol 15, Issue 2, 2025"; inputs.background.value = "The training efficiency of deep neural networks (DNNs) is theorized to be sensitive to quantum decoherence effects, particularly those induced by gravitational fields. Confirming this relationship is crucial for building reliable quantum processors in non-terrestrial environments."; inputs.method.value = "A specialized quantum simulation platform modeled a 10-layer convolutional network trained on the MNIST dataset. The simulation was run under five distinct gravitational potential regimes, ranging from 0g to 5g, simulating various planetary surface and deep space conditions. Training was terminated after 100 epochs, and convergence time was recorded."; inputs.results.value = "The results showed a statistically significant inverse correlation between gravitational potential and convergence speed (p < 0.001). Specifically, the 5g environment required 38% longer training time and achieved a 4.5% lower final accuracy compared to the 0g baseline. No significant difference was observed between 0g and 1g regimes."; inputs.conclusion.value = "Our findings provide the first empirical evidence that gravitational potential is a measurable factor in DNN efficiency at the quantum level. This mandates new shielding and stabilization methods for quantum computing hardware deployed in high-gravity zones on planets or deep space probes."; // Initial word count calculation inputSections.forEach(updateWordCount); showTab(1); // Set initial state });