bluuebunny/crossref_metadata_2025_split huggingface dataset:
(Re)drawing The Community-based Environment
Authors: Ardianta D A , Yatmo Y A , Atmodiwirjo P 
Published: December 2023

Abstract
This paper argues that the ‘continuous idea’ is related to community-based environmental quality improvement. This argument is based on the view that environmental conditions do not start from a blank canvas that is responded to with new ideas that are finished, but rather a canvas that has traces of previous ideas and should be positioned as an unfinished condition. The act of re-reading, re-defining, and re-articulating will encourage the improvement of environmental quality with the potential of the context. This study uses Kampung Ketandan, Surabaya, Indonesia, as a case study. Kampung Ketandan has undergone a process of re-articulation of its environment. The replacement and reconstruction of the joglo building in the middle of the kampung triggered an improvement in the quality of the environment in terms of cleanliness, health, and greenery. The findings of this study reveal that behind the improvement in the quality of the environment, there are essential triggers, including redrawing the idea of collaboration and the vision, which is based on the act of revisiting the idea of ownership. The findings suggest the importance of understanding and applying intransitive perspectives in maintaining environmental quality.
Enhancing airport environmental sustainability through net zero energy building principles
Authors: Pandiangan M L , Kurniawan T A , Aurelia A , Rasya T 
Published: December 2023

Abstract
Airports play a crucial role in Indonesia, an archipelagic country, by connecting various regions, especially those separated by vast oceans. The extensive scale of airport construction directly influences environmental conditions, making environmental preservation and sustainability essential considerations. Hence, implementing the net zero energy building principle in airports, particularly in Indonesia, becomes imperative to enhance environmental sustainability. This study focused on Yogyakarta International Airport (YIA), a facility that has achieved Greenship Gold certification, making it a suitable case for investigating the application of net zero energy building principles. Adapting the net zero building concept to complex airport structures presents challenges. Besides using rating tools, simulation modeling offers a performance-based approach to assess the application of net zero energy building principles effectively. We used quantitative method by utilizing software like EDGE to simulate net zero energy buildings and identify optimal performance strategies for YIA. The study’s outcomes comprised an analysis of the net zero energy building model, providing valuable insights for developing specific guidelines on net zero energy principles in airport terminal buildings. This research aimed to expand knowledge on net zero building performance at airports, contributing to the development of guidelines for net zero airport terminal criteria.
The potential of infiltration wells to reduce runoff in apartment and hotel buildings in Semarang City
Authors: Syahputra B , Satrio E M , Adi T A N , Rahmaddiansyah V A 
Published: December 2023

Abstract
Besides being used as groundwater recharge, infiltration wells function as runoff controllers. This study aims to analyze the runoff of apartment and hotel buildings in Semarang City. The method used to calculate rain intensity is the Mononobe method. The value of the flow coefficient is calculated using the Hassing method, while the standard used to calculate infiltration wells is SNI 03-2453-2002 concerning infiltration wells. Based on groundwater depth and soil permeability, seven apartment and hotel buildings are not suitable for implementing infiltration wells, namely: H2, H3, H4, H5, H6, H8, and H10. The remaining three buildings are feasible, namely: H1, H7, and H9. Runoff discharges in apartment and hotel buildings in Semarang City that are eligible to use infiltration wells are H1 at 0.13 m3/sec, H7 at 0.18 m3/sec, and H9 at 0.10 m3/sec. While the discharge of water that seeps through the infiltration wells with a minimum permeability of 0.168 m/hour is 1.71 m3/hour and the value of the discharge of water that seeps through the infiltration wells with a maximum permeability of 5.083 m/hour is 51.89 m3/hour.
Quality of paving blocks soaking water made from medical waste incineration ash
Authors: Rachmawati S , Syafrudin S , Budiyono B 
Published: December 2023

Abstract
Given the ash level of medical waste incineration utilized as a raw material mixture that contains metal compounds, dumping the paving block immersion water into rivers could result in a drop in water quality. The purpose of this study is to evaluate water quality during immersion of paving blocks made from medical waste incineration ash. Water quality was measured by five measurements in water before immersion, soaking for 7 days, 14 days, 21 days, and 28 days. The test method used is in accordance with SNI 6989-84:2019. The metal compounds examined in this study were Pb (lead), Copper (Cu), Nickel (Ni), and cadmium (Cd). Laboratory tests were conducted at the Jasa Tirta I Environmental Laboratory and the Sukoharjo Environmental Service. It can be concluded that there is no pollution due to heavy metals contained in paving blocks. The results show that the soaking water for 7 to 28 days is still below the specified quality, so paving block-making activities using a mixture of medical waste incineration ashes can be carried out. The need for other studies measuring the levels of other metals such as Cr, Hg, Sn, Ti, and Zn.
Synthesis of BiFeO3/ZnMgAl-LDH nanocomposite for instantaneous decolorization of methylene blue by ultrasonic induced adsorption system: characterization and equilibrium studies
Authors: Abdelrahman Asmaa A , Salem Heba M , Abukhadra Mostafa R , El-Sherbeeny Ahmed M , Zoubi Wail Al , Rabie Abdelrahman M 
Published: December 2023

Abstract
The bismuth ferrite/ZnMgAl-LDH (BFO/LDH) nanocomposite was successfully synthesized in the in situ co-precipitation method as an enhanced adsorbent of methylene blue dye under sonication interference. The synthetic structure was deeply characterized by different structural, chemical, textural, and physical techniques, including XRD, FT-IR, Raman analysis, BET surface area TEM, and XPS. The charterization findings describe the formation of the composite as magnetic spherical-like nanoparticles with a grain size less than 100 nm, a surface area of 13.4 m2 g–1, and multifunctional active chemical groups. The composite was applied to adsorb methylene blue (MB) via adsorption from an aqueous solution. MB adsorption experiments were conducted in an ultrasonic bath, and the effect of various adsorption parameters such as composite dosage, pH, time, and initial dye concentration has been briefly studied. The result indicated that pH 12 is more optimal for MB adsorption. The adsorption kinetics of the composite are determined to be pseudo-second-order. Furthermore, BFO/LDH composites exhibit a higher adsorption capacity (244.49 mg g−1) under optimal conditions. The equilibrium adsorption isotherm follows the Langmuir isotherm model. The results indicate that the prepared BFO/LDH composite provides a novel effective adsorbent for MB from aqueous media and could be applied for actual wastewater purification.
Forward modelling of the Cotton-Mouton effect polarimetry on EAST tokamak
Authors: SHEN 沈 Minyong 敏勇 , ZHANG 张 Jibo 际波 , ZHANG 张 Yao 耀 , JIE 揭 Yinxian 银先 , LIU 刘 Haiqing 海庆 , XIE 谢 Jinlin 锦林 , DING 丁 Weixing 卫星 
Published: December 2023

Abstract
Measurement of plasma electron density by far-infrared laser polarimetry has become a routine and indispensable tool in magnetic confinement fusion research. This article presents the design of a Cotton-Mouton polarimeter interferometer, which provides a reliable density measurement without fringe jumps. Cotton-Mouton effect on Experimental Advanced Superconducting Tokamak (EAST) is studied by Stokes equation with three parameters

. It demonstrates that under the condition of a small Cotton-Mouton effect, parameter

contains information about Cotton-Mouton effect which is proportional to the line-integrated density. For a typical EAST plasma, the magnitude of Cotton-Mouton effects is less than 2

for laser wavelength of 432

. Refractive effect due to density gradient is calculated to be negligible. Time modulation of Stokes parameters (

,

) provides heterodyne measurement. Due to the instabilities arising from laser oscillation and beam refraction in plasmas, it is necessary for the system to be insensitive to variations in the amplitude of the detection signal. Furthermore, it is shown that non-equal amplitude of X-mode and O-mode within a certain range only affects the DC offset of Stokes parameters (

,

) but does not greatly influence the phase measurements of Cotton-Mouton effects.
Advances in carbon quantum dot technology for food safety: preparation, modification, applications and mechanisms
Authors: Sun Qian Yun , Cheng Jin Xin , Qi Si Yu , Chen Jin Feng , Hu Ding Yu 
Published: December 2023

Abstract
Functionalized carbon quantum dots (CQDs) show great potential for application in the field of food safety. CQDs have attracted widespread attention in this regard due to the wide range of sources of raw materials for their synthesis, and their good biocompatibility and stable fluorescence. This paper analyses the properties of CQDs and compares with those of conventional semiconductor quantum dots (SCQDs). It analyses the similarities and differences between hydrothermal carbonization, pyrolysis and microwave-assisted synthesis of CQDs, and reviews the principles and methods of functionalization of CQDs through surface modification and doping. Finally, it discusses the applications of functionalized CQDs in food safety, such as detection and sensing, bio-inhibition and photocatalytic degradation, and the mechanisms of detection.
Comparative Law: A Very Short Introduction
Authors: Ragone Sabrina , Smorto Guido 
Published: December 2023

Abstract
In this Very Short Introduction, Sabrina Ragone and Guido Smorto explore the objectives, methods, and uses of comparative law. Following an overview of the fundamental definitions, key concepts, and basic lexicon of the discipline, Ragone and Smorto analyse the most successful techniques adopted for mapping the world’s legal systems and for explaining legal change and diffusion of law, also providing a concise account of the distinct legal traditions. They examine the alternative methodologies employed for comparative inquiries, explaining how these choices contribute in assessing differences and similarities. Finally, they discuss the practical uses of comparative law, describing how legal comparison is employed in both law-making and adjudication.
Revolutions of the Renaissance and Reformation
Authors: Goldstone Jack A. 
Published: December 2023

Abstract
Revolutions resumed in Europe in the Renaissance and Reformation, first in the Italian city-states, especially in Florence. Religion played a key role in these revolutions, for example in Savonarola’s “bonfire of the vanities.” Most important were the English Revolution of 1640 and the Glorious Revolution that followed it in 1688-89. The Glorious Revolution produced the English Bill of Rights, which later influenced the American and French Revolutions.
Constitutional revolutions: America, France, Europe (1830 and 1848), and Meiji Japan
Authors: Goldstone Jack A. 
Published: December 2023

Abstract
The eighteenth century began an era in which revolutions focused on producing written constitutions designed to limit or replace the power of Kings by vesting power in elected officials. Such revolutions occurred in America in 1776, in France in 1789, in several European countries in 1830 and 1848, and in Japan in 1868.
Revolutions against dictators: Mexico, Nicaragua, and Iran
Authors: Goldstone Jack A. 
Published: December 2023

Abstract
Modern dictatorships have also proven vulnerable to revolutions, with varied outcomes. Important cases include the Mexican Revolution, which produced a capitalist, one-party regime; the Nicaraguan Revolution, which produced a competitive multi-party state at first but ended in a personal dictatorship; and the Iranian Islamic Revolution, which produced the religiously led, semi-authoritarian Islamic Republic.
Differentiable rotamer sampling with molecular force fields
Authors: Sha Congzhou M , Wang Jian , Dokholyan Nikolay V 
Published: December 2023

Abstract
Molecular dynamics (MD) is the primary computational method by which modern structural biology explores macromolecule structure and function. Boltzmann generators have been proposed as an alternative to MD, by replacing the integration of molecular systems over time with the training of generative neural networks. This neural network approach to MD enables convergence to thermodynamic equilibrium faster than traditional MD; however, critical gaps in the theory and computational feasibility of Boltzmann generators significantly reduce their usability. Here, we develop a mathematical foundation to overcome these barriers; we demonstrate that the Boltzmann generator approach is sufficiently rapid to replace traditional MD for complex macromolecules, such as proteins in specific applications, and we provide a comprehensive toolkit for the exploration of molecular energy landscapes with neural networks.
ICBcomb: a comprehensive expression database for immune checkpoint blockade combination therapy
Authors: Xia Yun , Gao Yan , Liu Ming-Yu , Li Lei , Pan Wen , Mao Ling-Zi , Yang Zhongzheng , Yang Mei , Guo An-Yuan 
Published: December 2023

Abstract
The success of immune checkpoint blockade (ICB) promotes the immunotherapy to be a new pillar in cancer treatment. However, the low response rate of the ICB therapy limits its application. To increase the response rate and enhance efficacy, the ICB combination therapy has emerged and its clinical trials are increasing. Nevertheless, the gene expression profile and its pattern of ICB combination were not comprehensively studied, which limits the understanding of the ICB combination therapy and the identification of new drugs. Here, we constructed ICBcomb (http://bioinfo.life.hust.edu.cn/ICBcomb/), a comprehensive database, by analyzing the human and mouse expression data of the ICB combination therapy and comparing them between groups treated with ICB, other drugs or their combinations. ICBcomb contains 1399 samples across 29 cancer types involving 52 drugs. It provides a user-friendly web interface for demonstrating the results of the available comparisons in the ICB combination therapy datasets with five functional modules: [1, 2] the ‘Dataset/Disease’ modules for browsing the expression, enrichment and comparison results in each dataset or disease; [3] the ‘Gene’ module for inputting a gene symbol and displaying its expression and comparison results across datasets/diseases; [4] the ‘Gene Set’ module for GSVA/GSEA enrichment analysis on the built-in gene sets and the user-input gene sets in different comparisons; [5] the ‘Immune Cell’ module for immune cell infiltration comparison between different groups by immune cell abundance analysis. The ICBcomb database provides the first resource for gene expression profile and comparison in ICB combination therapy, which may provide clues for discovering the mechanism of effective combination strategies and new combinatory drugs.
IntelliGenes: a novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles
Authors: DeGroat William , Mendhe Dinesh , Bhusari Atharva , Abdelhalim Habiba , Zeeshan Saman , Ahmed Zeeshan 
Published: December 2023

Abstract

Summary
In this article, we present IntelliGenes, a novel machine learning (ML) pipeline for the multi-genomics exploration to discover biomarkers significant in disease prediction with high accuracy. IntelliGenes is based on a novel approach, which consists of nexus of conventional statistical techniques and cutting-edge ML algorithms using multi-genomic, clinical, and demographic data. IntelliGenes introduces a new metric, i.e. Intelligent Gene (I-Gene) score to measure the importance of individual biomarkers for prediction of complex traits. I-Gene scores can be utilized to generate I-Gene profiles of individuals to comprehend the intricacies of ML used in disease prediction. IntelliGenes is user-friendly, portable, and a cross-platform application, compatible with Microsoft Windows, macOS, and UNIX operating systems. IntelliGenes not only holds the potential for personalized early detection of common and rare diseases in individuals, but also opens avenues for broader research using novel ML methodologies, ultimately leading to personalized interventions and novel treatment targets.

Availability and implementation
The source code of IntelliGenes is available on GitHub (https://github.com/drzeeshanahmed/intelligenes) and Code Ocean (https://codeocean.com/capsule/8638596/tree/v1).
Assigning mutational signatures to individual samples and individual somatic mutations with SigProfilerAssignment
Authors: Díaz-Gay Marcos , Vangara Raviteja , Barnes Mark , Wang Xi , Islam S M Ashiqul , Vermes Ian , Duke Stephen , Narasimman Nithish Bharadhwaj , Yang Ting , Jiang Zichen , Moody Sarah , Senkin Sergey , Brennan Paul , Stratton Michael R , Alexandrov Ludmil B 
Published: December 2023

Abstract

Motivation
Analysis of mutational signatures is a powerful approach for understanding the mutagenic processes that have shaped the evolution of a cancer genome. To evaluate the mutational signatures operative in a cancer genome, one first needs to quantify their activities by estimating the number of mutations imprinted by each signature.

Results
Here we present SigProfilerAssignment, a desktop and an online computational framework for assigning all types of mutational signatures to individual samples. SigProfilerAssignment is the first tool that allows both analysis of copy-number signatures and probabilistic assignment of signatures to individual somatic mutations. As its computational engine, the tool uses a custom implementation of the forward stagewise algorithm for sparse regression and nonnegative least squares for numerical optimization. Analysis of 2700 synthetic cancer genomes with and without noise demonstrates that SigProfilerAssignment outperforms four commonly used approaches for assigning mutational signatures.

Availability and implementation
SigProfilerAssignment is available under the BSD 2-clause license at https://github.com/AlexandrovLab/SigProfilerAssignment with a web implementation at https://cancer.sanger.ac.uk/signatures/assignment/.
Are current seed storage approaches suitable for Macrozamia fraseri (Cycadales), a temperate species used in restoration?
Authors: Turner Shane R , Pedrini Simone , Just Michael , Grose Damian , Willyams David , Dixon Kingsley W 
Published: December 2023

Abstract
In this study, we focused on understanding key storage traits of seeds from Macrozamia fraseri, an unusual though important species that is impacted by mining. To support current restoration activities, large amounts of seed from M. fraseri have been regularly collected and stored for up to 8 years under standard seed banking conditions (5°C and 20% relative humidity), though in situ recruitment from directly sown seed is poor. To investigate the underlying constraints to germination on demand, we set out to assess the viability of M. fraseri seeds that had been stored in a restoration seed bank from 6 to 66 months. Seed moisture content (MC) (fresh weight basis) was also determined for seeds with different storage histories to ascertain whether M. fraseri seeds display traits (i.e. high MC) that might suggest non-orthodox seed storage behaviour. The youngest seed accession (6 months old) was found to have a high MC (45.8 ± 5.4%—fresh weight basis), and &gt;50% viability. In comparison, older (&gt;30 months old) accessions were observed to have a marked reduction in both seed MC (10–35% MC) and viability (0–29.4%). While preliminary, we conclude that M. fraseri seeds appear to lose viability during conventional storage with younger accessions displaying both a higher seed MC and viability, compared to accessions stored for longer. Given the significance of these results, future research activities are recommended to better understand the interplay between seed MC and storage environment and how this relates to the seasonally dry Mediterranean climate where this species naturally occurs. As well, storage and propagation approaches are proposed to increase success when using M. fraseri for conservation and restorative activities.
Evaluating environmental effects of adopting automatic milking systems on Norwegian dairy farms
Authors: Martinsson Elin , Hansson Helena , Mittenzwei Klaus , Storm Hugo 
Published: December 2023

Abstract
We present a novel procedure based on eco-efficiency for assessing farm-level effects of technology adoption while considering secondary effects. Secondary effects are defined as structural and behavioural adaptations to technology that may impact environmental, social or economic outcomes. We apply the procedure to automatic milking systems (AMS) in Norway and find that AMS induces secondary effects, most strongly by decreasing labour per cow and increasing herd sizes. For estimating effects of AMS we employ a novel causal machine learning approach. AMS induce heterogenous effects on eco-efficiency, negatively associated with herd expansion and labour per cow.
A scoping review of empathy recognition in text using natural language processing
Authors: Shetty Vishal Anand , Durbin Shauna , Weyrich Meghan S , Martínez Airín Denise , Qian Jing , Chin David L 
Published: December 2023

Abstract

Objective
To provide a scoping review of studies on empathy recognition in text using natural language processing (NLP) that can inform an approach to identifying physician empathic communication over patient portal messages.

Materials and methods
We searched 6 databases to identify relevant studies published through May 1, 2023. The study selection was conducted through a title screening, an abstract review, and a full-text review. Our process followed the PRISMA-ScR guidelines.

Results
Of the 2446 publications identified from our searches, 39 studies were selected for the final review, which summarized: (1) definitions and context of empathy, (2) data sources and tested models, and (3) model performance. Definitions of empathy varied in their specificity to the context and setting of the study. The most common settings in which empathy was studied were reactions to news stories, health-related social media forums, and counseling sessions. We also observed an expected shift in methods used that coincided with the introduction of transformer-based models.

Discussion
Aspects of the current approaches taken across various domains may be translatable to communication over a patient portal. However, the specific barriers to identifying empathic communication in this context are unclear. While modern NLP methods appear to be able to handle empathy-related tasks, challenges remain in precisely defining and measuring empathy in text.

Conclusion
Existing work that has attempted to measure empathy in text using NLP provides a useful basis for future studies of patient-physician asynchronous communication, but consideration for the conceptualization of empathy is needed.