bluuebunny/crossref_metadata_2025_split huggingface dataset:
A needs-based approach to promoting gender equity and inclusivity: insights from participatory research with farmer-producer organisations (FPOs)
Authors: Harrington Tomás , Narain Nivedita , Rao Nitya , Rengalakshmi R. , Sogani Reetu , Chakraborty Shuvajit , Upadhyay Astha 
Published: November 2023

AbstractThe farmer-producer organisation (FPO) is an umbrella term used to describe modes of farmer collectivisation in India, i.e. co-operatives and companies. While women cultivators play a central role in agriculture, their continued marginalisation is reflected in a lack of engagement in FPO activities and governance structures, with only 3% of existing FPOs being female-led ventures. This paper examines the nature of tensions around social inequities—and how such tensions might be addressed in the collective spaces offered by FPOs—using a gender lens, specifically in balancing conflicting pressures of economic performance versus inclusion and meeting specific members' needs. Using a participatory research approach, a conceptual framework is developed and applied in three FPOs operating at various stages of development. With a specific focus on gender equity and social inclusion, selected cases involved FPOs with > 75% female membership and scheduled caste/tribe participation. Qualitative data on societal needs, based on the expectations and experiences of FPO participants, are then analysed to better understand (1) what might promote FPO participation and (2) how equity and inclusion may be enabled from the ‘bottom-up’. This exploratory study informs the collective action debate with its new and intersectional approach to gender equity and inclusivity. Empirical observations and within-case analyses involving FPOs provide new insights into the functioning of these institutions and nuanced interactions involving their members. Findings suggest that informal micro-producer arrangements or vyavastha, in the FPO pre-registration phase, are well positioned to act as spatial agents for establishing ethical norms as FPOs collectivise and grow. In terms of promoting social objectives and evaluating FPOs operating in different stages, a set of guiding principles are proposed with follow-on implications for policy.
Use of Real-World Evidence in Regulatory Decisions for Traditional Chinese Medicine: Current Status and Future Directions
Authors: Li Pei , Wang Su , Chen Yuwen 
Published: November 2023

AbstractTraditional Chinese medicine (TCM) is a valuable resource unique to China with a long history of human use and clinical practice, which can be analyzed to generate real-world evidence (RWE). The Chinese government has been actively promoting regulatory reform that is in line with the characteristics of TCM, optimizing the clinical evidence system for TCM, and exploring the important role of RWE in supporting the development of new drugs and regulatory decision-making for TCM. This article aims to provide a comprehensive review of the use of RWE in regulatory decisions for TCM. Based on the characteristics of TCM, this study focuses on the application scenarios, challenges, and opportunities of RWE in TCM. And some suggestions are put forward to promote the wider application of RWE in TCM development and supervision.
The role of the tourism sector in creating direct employment in Mexico: evidence from linear and nonlinear ARDL frameworks
Authors: Sánchez López Fernando 
Published: November 2023

AbstractThis paper analyzes the role of the tourism sector in creating direct employment in Mexico by measuring the output elasticity of tourism employment from both linear and nonlinear perspectives. Although using such elasticity is a common practice for calculating the impact of economic growth on employment, it has been neglected in the context of the tourism labor market. Using Autoregressive Distributed Lag (ARDL) and Nonlinear Autoregressive Distributed Lag (NARDL) models, this study analyzes the impact of both the quarterly indicator of tourism gross domestic product (GDP) and the multilateral real exchange rate on tourism employment from the first quarter of 2006 to the first quarter of 2021. The results of the linear models show that tourism employment is elastic to variations in tourism GDP. Conversely, the NARDL model illustrates that tourism employment is inelastic to both positive and negative changes in tourism GDP. However, the NARDL model also shows that tourism employment is resilient to the negative phases of growth in the sector, as it grows more during the expansive episodes than it is reduced during the contractive phases. Meanwhile, the models including the multilateral real exchange rate show that tourism employment positively responds to the depreciation of the Mexican peso.
Molecular characterization and pathogenicity of an infectious clone of tomato leaf curl New Delhi virus isolate infecting Cucumis melo
Authors: Mei Yuzhen , Cai Lingmin , Wang Yaqin , Li Fangfang , Yang Xiuling , Yang Jinghua , Zhou Xueping 
Published: November 2023

AbstractTomato leaf curl New Delhi virus (ToLCNDV) is a member of the genus Begomovirus, and causes devastating disease in the world. In recent years, ToLCNDV was rapidly spreading in China and induces severe economic losses in agriculture. In this study, we sequenced and characterized the complete genome of ToLCNDV isolates from melon plants showing leaf curling and stunting symptoms in Jiangsu Province of China. We constructed a full-length infectious cDNA clone of ToLCNDV, which could induce systemic infection with typical symptoms in Nicotiana benthamiana, Citrullus melo, and Citrullus lanatus plants through agrobacterium-mediated inoculation. Further experimental evidence demonstrated that the virions produced in plants infected with the infectious clone of ToLCNDV are biologically active and sap-transmissible. We also evaluated the resistance of commercial melon cultivars to ToLCNDV and found all testing melon cultivars were susceptible to ToLCNDV. Collectively, the reverse genetic system developed herein will facilitate further research on biological functions of proteins encoded by ToLCNDV and plant-ToLCNDV interactions, which might provide new insights into breeding resistance germplasm in crops.
Molecular characterization of coastal seawater dissolved organic matter by ultrahigh-resolution mass spectrometry: a photochemical study of the Tokyo Bay, Japan
Authors: Wu Shixi , Fujii Manabu , Fu Qinglong 
Published: November 2023

AbstractThe coastal seawater in Tokyo Bay contains abundant sulfur (S)-containing DOM compounds because it receives municipal effluents from wastewater treatments. However, the effect of photohalogenation on the molecular composition of these coastal seawater DOM remains unknown. Herein, light irradiation experiments were combined with the Fourier transform ion cyclotron resonance mass spectrometry to investigate the transformation in the molecular composition of coastal seawater DOM during photohalogenation. In total, 3147 S-containing formulae were identified in the coastal seawater, accounting for 33% of the total number and 24% of the full intensity. Moreover, ~ 44% to ~ 67% of CHOS formulae with high molecular weight, aromaticity, and unsaturation were preferentially photodegraded via decarboxylation and desulfonation. Compared with the visible and UVA lights, UVC light exhibited much significant influences on the molecular composition of coastal seawater DOM. Only a few OBCs and OICs were generated during the photohalogenation, mainly via substitution and addition reactions, from CHO-class DOM belonging to lignin-like compounds. Additionally, the novel DBE-0.5O parameter was proposed as a better indicator of the unsaturation of the carbon skeleton than DBE-O. Our findings provided valuable information on the effect of photohalogenation on the molecular composition of the natural coastal DOM under natural sunlight irradiation.
Graphical Abstract
The Time of Global Politics
Authors: McIntosh Christopher 
Published: November 2023

How can we better relate and respond to the political times we inhabit? Temporal relationships play a central role in the questions at the heart of global politics, but political commentators and observers focus almost exclusively on the past as a means of predicting and preparing for the future. Christopher McIntosh argues that, although past events are meaningful for our collective future, the present remains vitally important. McIntosh emphasises the importance of the present as a conceptual resource and analytical category for thinking about international politics. The present, he suggests, places an orientation toward difference and a recognition of the human limits of understanding alongside an emphasis on process and change. This book will shift current thinking about prediction and better enable the use of knowledge about international politics to meaningfully and positively intervene in present-day concerns.
Edward Said and Philosophy
Authors: el Nabolsy Zeyad 
Published: November 2023

AbstractThis article brings to the forefront Timothy Brennan’s emphasis on Edward Said’s engagement with philosophy. An attempt is made to reconstruct some of Brennan’s claims about Said’s views on the relationship between mental representations and the external world. It is shown that Said rejected naïve or direct realism in favor of representationalism. It is also argued that, despite being seen as a post-modern thinker, Said subscribed to a version of the correspondence theory of truth. Said embraced some form of standpoint epistemology, but he did not think that this had any direct bearing on how we should think about what makes a given claim true. Finally, an attempt is made to understand the relationship between Said’s project and the classical Marxist project of ideology critique, as well as contemporary attempts to develop an epistemology of ignorance.
The (in)effectiveness of populist rhetoric: a conjoint experiment of campaign messaging
Authors: Dai Yaoyao , Kustov Alexander 
Published: November 2023

AbstractIs populism electorally effective and, if so, why? Scholars agree that populism is a set of people-centric, anti-pluralist, and anti-elitist ideas that can be combined with various ideological positions. It is difficult, yet important, to disentangle populism from its hosting ideology in evaluating populism's effectiveness and its potential conditional effects on the hosting ideology. We conduct a novel US conjoint experiment asking respondents to evaluate pairs of realistic campaign messages with varying populism-related messages and hosting policy positions given by hypothetical primary candidates. Although party-congruent policy positions are expectedly much more popular, we find that none of the populist features have an independent or combined effect on candidate choice.
Characterizing sorghum genotypes for forage yield, hydrocyanic acid and sugar contents under arid climate conditions
Authors: Sher Ahmad , Ul-Allah Sami , Sattar Abdul , Barbanti Lorenzo , Ijaz Muhammad 
Published: November 2023

AbstractSorghum (Sorghum bicolor(L.) Moench) is a dual nature crop, which is used for food as well as fodder, depending on plant ideotype. Sorghum forage is important for ruminants, but a major constraint is the anti-nutritional factor dhurrin, a hydrocyanic acid (HCN) producing glucoside. There are several additional effects of dhurrin, which reduce the nutritional value of sorghum fodder for livestock. This two-year study was aimed to evaluate the variation among diverse sorghum varieties, specifically for HCN content, forage yield and stem sugar content (brix value) under arid climate in Pakistan. Nine sorghum varieties were used for this experiment: JS-2002, Chakwal sorghum, Lines CS-17, Super late, PAK SS-2, Johar, JS-263, Sargodha-2011 and YSS-98. Results reveal that Sargodha-2011 had superior morphological traits for fresh forage and dry biomass yield, and stem brix value, compared to other varieties. Higher HCN contents were recorded in Super late compared to other varieties. Significant negative correlation of HCN with yield showed that improvement in yield will reduce the HCN content of sorghum. In conclusion, sorghum variety SGD-11 was shown best performing for higher biomass yield and brix value, and lower HCN content compared to other tested varieties under arid climate of Thal, Pakistan.
Ecclesial Enculturation: John Westerhoff’s Appeal to Catechesis in Contemporary Theological Education
Authors: Fogleman Alex 
Published: November 2023

Abstract
This article explores the appeal to catechesis in the writings of Anglican theologian and educator John Westerhoff III (1933–2022). I argue that he proposed the concept of catechesis as a way of critiquing and incorporating the streams of liberalism and neo-orthodoxy from the early and mid-twentieth century into a more comprehensive and theologically substantive approach to theological education. In doing so, he used the language of catechesis as a means of integrating the strengths of liberalism’s emphasis on nurture and enculturation and neo-orthodoxy’s accent on conversion, the church and the uniqueness of Christianity. His appeal to catechesis, then, was not a retrieval or ressourcement of patristic catechesis. While he appreciated the term’s antiquity, the way in which he described the term was more indebted to contemporary education theory than patristics, particularly the anthropological insights of socialization theory.
The Impacts of Optimizing Model‐Dependent Parameters on the Antarctic Sea Ice Data Assimilation
Authors: Luo Hao , Yang Qinghua , Mazloff Matthew , Nerger Lars , Chen Dake 
Published: November 2023

AbstractGiven the role played by the historical and extensive coverage of sea ice concentration (SIC) observations in reconstructing the long‐term variability of Antarctic sea ice, and the limited attention given to model‐dependent parameters in current sea ice data assimilation studies, this study focuses on enhancing the performance of the Data Assimilation System for the Southern Ocean in assimilating SIC through optimizing the localization and observation error estimate, and two assimilation experiments were conducted from 1979 to 2018. By comparing the results with the sea ice extent of the Southern Ocean and the sea ice thickness in the Weddell Sea, it becomes evident that the experiment with optimizations outperforms that without optimizations due to achieving more reasonable error estimates. Investigating uncertainties of the sea ice volume anomaly modeling reveals the importance of the sea ice‐ocean interaction in the SIC assimilation, implying the necessity of assimilating more oceanic and sea‐ice observations.
High-throughput screening of genetic and cellular drivers of syncytium formation induced by the spike protein of SARS-CoV-2
Authors: Chan Charles W. F. , Wang Bei , Nan Lang , Huang Xiner , Mao Tianjiao , Chu Hoi Yee , Luo Cuiting , Chu Hin , Choi Gigi C. G. , Shum Ho Cheung , Wong Alan S. L. 
Published: November 2023

AbstractMapping mutations and discovering cellular determinants that cause the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to induce infected cells to form syncytia would facilitate the development of strategies for blocking the formation of such cell–cell fusion. Here we describe high-throughput screening methods based on droplet microfluidics and the size-exclusion selection of syncytia, coupled with large-scale mutagenesis and genome-wide knockout screening via clustered regularly interspaced short palindromic repeats (CRISPR), for the large-scale identification of determinants of cell–cell fusion. We used the methods to perform deep mutational scans in spike-presenting cells to pinpoint mutable syncytium-enhancing substitutions in two regions of the spike protein (the fusion peptide proximal region and the furin-cleavage site). We also used a genome-wide CRISPR screen in cells expressing the receptor angiotensin-converting enzyme 2 to identify inhibitors of clathrin-mediated endocytosis that impede syncytium formation, which we validated in hamsters infected with SARS-CoV-2. Finding genetic and cellular determinants of the formation of syncytia may reveal insights into the physiological and pathological consequences of cell–cell fusion.
Joint epigenome profiling reveals cell-type-specific gene regulatory programmes in human cortical organoids
Authors: Noack Florian , Vangelisti Silvia , Ditzer Nora , Chong Faye , Albert Mareike , Bonev Boyan 
Published: November 2023

AbstractGene expression is regulated by multiple epigenetic mechanisms, which are coordinated in development and disease. However, current multiomics methods are frequently limited to one or two modalities at a time, making it challenging to obtain a comprehensive gene regulatory signature. Here, we describe a method—3D genome, RNA, accessibility and methylation sequencing (3DRAM-seq)—that simultaneously interrogates spatial genome organization, chromatin accessibility and DNA methylation genome-wide and at high resolution. We combine 3DRAM-seq with immunoFACS and RNA sequencing in cortical organoids to map the cell-type-specific regulatory landscape of human neural development across multiple epigenetic layers. Finally, we apply a massively parallel reporter assay to profile cell-type-specific enhancer activity in organoids and to functionally assess the role of key transcription factors for human enhancer activation and function. More broadly, 3DRAM-seq can be used to profile the multimodal epigenetic landscape in rare cell types and different tissues.
A brainstem circuit for phonation and volume control in mice
Authors: Veerakumar Avin , Head Joshua P. , Krasnow Mark A. 
Published: November 2023

AbstractMammalian vocalizations are critical for communication and are produced through the process of phonation, in which expiratory muscles force air through the tensed vocal folds of the larynx, which vibrate to produce sound. Despite the importance of phonation, the motor circuits in the brain that control it remain poorly understood. In this study, we identified a subpopulation of ~160 neuropeptide precursor Nts (neurotensin)-expressing neurons in the mouse brainstem nucleus retroambiguus (RAm) that are robustly activated during both neonatal isolation cries and adult social vocalizations. The activity of these neurons is necessary and sufficient for vocalization and bidirectionally controls sound volume. RAm Nts neurons project to all brainstem and spinal cord motor centers involved in phonation and activate laryngeal and expiratory muscles essential for phonation and volume control. Thus, RAm Nts neurons form the core of a brain circuit for making sound and controlling its volume, which are two foundations of vocal communication.
Technology and engineering test of filling goaf with coal gangue slurry
Authors: Xie Shengrong , Pan Hao , Gu Wenzhe , Zhu Lei , Yue Dong , Chen Dongdong , Song Tianqi , Jiang Zaisheng 
Published: November 2023

AbstractBased on the greening and low interference disposal requirements of coal gangue in high-yield and high-efficiency mines in Inner Mongolia and Shaanxi, and by integrating the existing theories and technologies such as underground filling technology of coal gangue, mine yellow mud grouting technology, and the evolution law of mining overburden fractures, a technology of filling goaf with coal gangue slurry for green disposal of coal gangue is proposed. The principle and technical framework of the technology of filling goaf with coal gangue slurry are clarified. This paper expounds on the technological process of technology of filling goaf with coal gangue slurry, establishes three types of slurry filling systems, such as centralized ground layout, ground and underground coordinated layout, and centralized underground layout, and constructs three slurry filling methods, including low-level grouting, adjacent level grouting, and high-level grouting, forming seven kinds of technology models of filling goaf with coal gangue slurry, including ground centralized pulping + high-level grouting, ground centralized pulping + adjacent grouting, ground centralized pulping + low level grouting, ground and underground coordinated pulping + adjacent grouting, ground and underground coordinated pulping + low level grouting, underground centralized pulping + adjacent grouting, and underground centralized pulping + low level grouting, and gives the selection process of technology models of filling goaf with coal gangue slurry. Based on the different conditions and requirements of Haidaze Coal Mine and Huangling No. 2 Coal Mine, engineering tests were carried out on two different technology modes, namely, ground and underground coordinated pulping + low level grouting and ground and underground coordinated pulping + adjacent grouting, based on simulation tests of low level grouting and adjacent grouting. The tests prove the feasibility of filling goaf with coal gangue slurry and explore the way for the theoretical research of the technology of filling goaf with coal gangue slurry and greening and low interference disposal of coal gangue.
Multinomial machine learning identifies independent biomarkers by integrated metabolic analysis of acute coronary syndrome
Authors: Fu Meijiao , He Ruhua , Zhang Zhihan , Ma Fuqing , Shen Libo , Zhang Yu , Duan Mingyu , Zhang Yameng , Wang Yifan , Zhu Li , He Jun 
Published: November 2023

AbstractA multi-class classification model for acute coronary syndrome (ACS) remains to be constructed based on multi-fluid metabolomics. Major confounders may exert spurious effects on the relationship between metabolism and ACS. The study aims to identify an independent biomarker panel for the multiclassification of HC, UA, and AMI by integrating serum and urinary metabolomics. We performed a liquid chromatography-tandem mass spectrometry (LC–MS/MS)-based metabolomics study on 300 serum and urine samples from 44 patients with unstable angina (UA), 77 with acute myocardial infarction (AMI), and 29 healthy controls (HC). Multinomial machine learning approaches, including multinomial adaptive least absolute shrinkage and selection operator (LASSO) regression and random forest (RF), and assessment of the confounders were applied to integrate a multi-class classification biomarker panel for HC, UA and AMI. Different metabolic landscapes were portrayed during the transition from HC to UA and then to AMI. Glycerophospholipid metabolism and arginine biosynthesis were predominant during the progression from HC to UA and then to AMI. The multiclass metabolic diagnostic model (MDM) dependent on ACS, including 2-ketobutyric acid, LysoPC(18:2(9Z,12Z)), argininosuccinic acid, and cyclic GMP, demarcated HC, UA, and AMI, providing a C-index of 0.84 (HC vs. UA), 0.98 (HC vs. AMI), and 0.89 (UA vs. AMI). The diagnostic value of MDM largely derives from the contribution of 2-ketobutyric acid, and LysoPC(18:2(9Z,12Z)) in serum. Higher 2-ketobutyric acid and cyclic GMP levels were positively correlated with ACS risk and atherosclerosis plaque burden, while LysoPC(18:2(9Z,12Z)) and argininosuccinic acid showed the reverse relationship. An independent multiclass biomarker panel for HC, UA, and AMI was constructed using the multinomial machine learning methods based on serum and urinary metabolite signatures.