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How does the party-state exercise leadership over universities and manage the individuals embedded in the university system without restraining their capacity for excellence and innovation? I argue that the presidential responsibility system has resolved a fundamental agency problem in Chinese universities. The system is supported by a set of mechanisms designed to enforce loyalty to the leadership of the Chinese Communist Party. It can easily adapt to political changes and thus maintain authoritarian rule without compromising the overarching agenda of research excellence.
Indigenous identity politics in South America increasingly mobilize language as a resource for political visibility, cultural continuity, and resistance to homogenizing state agendas. While many Indigenous movements pursue linguistic standardization, the Murui-Muina people of the Colombian Amazon advance an inverse project: they emphasize internal differentiation, maintaining four ethnolinguistic groups (Murui, Mɨka, Mɨnɨka, Nɨpode). Drawing on long-term ethnographic and linguistic fieldwork, this article examines how Murui-Muina speakers construct and sustain these distinctions through ideologically charged lexical contrasts (‘flag words’) that function as shibboleths of subgroup identity. Situated within histories of violence, Indigenous language politics, and Northwest Amazonian multilingual ecologies, the analysis shows how minimal linguistic differences become imbued with cosmological significance, social meaning, and political value. The Murui-Muina case challenges structuralist definitions of ‘language’, demonstrating that what ultimately counts as a language depends on local approaches to language itself, offering a broader insight into how linguistic diversity is lived, valued, and reproduced. (Indigenous identity, linguistic diversity, language standardization, Murui-Muina, Northwest Amazonia, Colombia)
The Middle Persian Nāmagīhā ī Manuščihr “Epistles of Manuščihr”, the Zoroastrian high priest of Pārs and Kermān, written in 881 ce, are an important testimony of an inner-Zoroastrian dispute on orthopraxy in early Islamic Iran. They reflect Manuščihr’s efforts to preserve the extensive purification ritual Baršnūm against being substituted with a simplified ritual by his brother, the teacher-priest (Hērbed) Zādspram. Manuščihr wrote three letters to make his position clear. His second letter, addressed to Zādspram, is interesting not only for its theological debate but also for the personal relationship it reveals between two priest-brothers. Manuščihr argues on an elaborate scholarly level by quoting from the religious authoritative texts, and expresses his brotherly love and responsibility for leading his younger brother back to the correct path. This article focuses on his theological argumentation but also on the debate, how the family ties may have affected it and how he used linguistic expressions and style in this context.
The rise of internet celebrity cities has become one of the most striking phenomena in China since 2021. How do local governments respond and harness this trend to advance their development goals? This study focuses on local experimentation in creating such cities, drawing on the case of the Village Football Super League (Cun chao 村超) in Guizhou. We identify policy entrepreneurship as a key driver of local experimentation and highlight three core strategies for creating internet celebrity cities: crafting local symbols, co-producing viral content and mitigating public opinion risk. Further analysis shows that this experimentation, by attracting massive public attention, simultaneously promotes economic growth, strengthens social cohesion, reinforces state narratives and projects China’s national image onto the global stage. Overall, the findings suggest an emerging model in which public attention becomes a core resource for local development and governance in China’s digital era.
Prior research suggests that low-carbohydrate diets may reduce the frequency of headache attacks in individuals with migraine. However, the association between dietary carbohydrate intake and migraine in adults remains unclear. Given migraine’s significant public health burden and the modifiable nature of diet, understanding this relationship is vital for prevention. This study therefore investigated whether carbohydrate intake is associated with severe headache or migraine in a nationally representative sample of US adults. Using National Health and Nutrition Examination Survey (NHANES) data (1999–2004), this study examined the association between dietary carbohydrate intake and severe headache or migraine in adults aged over 20. Multivariable logistic regression was used, adjusting for demographics, socioeconomic status, lifestyle factors, and comorbidities. The study surveyed 10,413 participants, with 2062 reporting severe headache or migraine. Analysis of carbohydrate energy percentage revealed: compared to Q1 (≤42.7%), odds ratios (ORs) for severe headache or migraine were 1.04 for Q2 (42.7% to ≤50.5%, P = 0.642), 1.13 for Q3 (50.5% to ≤58.0%, P = 0.176), and 1.32 for Q4 (>58.0%, P = 0.008). A non-linear association was found between dietary carbohydrate intake and severe headache or migraine among U.S. adults (P for non-linearity = 0.002). The group with carbohydrate intake ≥51.1% of total energy had an OR of 1.22 (95% CI: 1.09–1.38, P = 0.002) compared to those below this level. The data suggest a significant association, with an important inflection point occurring at approximately 51.1%. This research uncovered a non-linear link between carbohydrate intake from diet and the chance of suffering from severe headache or migraine among American adults.
Understanding trends in end-of-life care for bladder cancer patients is essential in improving palliative care planning. This study analyzes trends in preferred place of death among bladder cancer patients in the United States from year 2000 to 2020.
Methods
Data from the CDC WONDER database were used to identify 293,906 deaths caused by bladder cancer. Further data on patient place of death, age, demographics, census geographic region, and year of death were recorded. Place of death was used as a proxy for preferred place of death. A multivariable binary logistic regression analysis was performed to determine associations between preferred place of death and other variables.
Results
At-home deaths were most common among individuals aged 75–84 years of age (42,644 deaths) and 85+ years of age (32,806 deaths). Hospice use was highest among the 75–84 age group (8,754 deaths) and 85+ age group (7,358 deaths). Nursing home deaths were highest in the 85+ age group (26,216 deaths), with significant age-related differences (p < 0.001). In terms of racial variations, White individuals accounted for 93.6% of all deaths. Black individuals were less likely to utilize hospice care (p < 0.001). Overall, race differences were significantly associated with place of death (p < 0.001). The number of home deaths rose from 4,281 in 2000 to 8,554 in 2020, and hospice deaths also rose significantly during this time period. Interestingly, younger individuals were more likely to die in hospice compared to those aged 85 years or older, though the odds decreased with age. Black individuals had significantly lower odds of hospice use than White patients (OR = 0.699, p < 0.001) and hospice use increased annually by an average of 13.4% (p < 0.001).
Significance of results
The results indicate that utilization of hospice care and home-based end-of-life care have risen in prominence though disparities are present across racial and regional groups. Further studies are needed to better understand potential barriers to end-of-life care among bladder cancer patients.
We investigate a novel first-passage percolation model, referred to as the Brochette first-passage percolation model, where the passage times associated with edges lying on the same line are equal. First, we establish a point-to-point convergence theorem, identifying the time constant. In particular, we explore the case where the time constant vanishes and demonstrate the existence of a wide range of possible behaviours. Next, we prove a shape theorem, showing that the limiting shape is the $L^1$ diamond. Finally, we extend the analysis by proving a point-to-point convergence theorem in the setting where passage times are allowed to be infinite.
By using satellite images, this study confirms 350 km of ancient roads, comprising 634 wide and 321 narrow roads, in southwestern Amazonia’s earthwork-rich landscape. The roads were straight, mostly under 500 m long, but with some extending several kilometers. They occurred most prevalently in areas of dense earthwork. Nested earthworks were more road-rich than simple ones, and roads were more common in structures with quadrilateral rather than roundish shapes. Geoglyphs typically featured wide ceremonial roads with start widths ranging from 15 to 40 m, sometimes wider, and gradual narrowing toward their distal ends. Mound settlements had narrow, short roads pointing in various directions, which may have been for everyday travel. They also presented narrow but long roads leading to distant destinations, occasionally spanning many earthworks. When the endpoint was observable, 39.7% of roads led to a riverine environment indicating access, 10.6% connected to other earthworks reflecting integration, and 49.7% faded into currently open terrain. Many roads starting from geoglyphs aligned with the cardinal directions suggesting a possible awareness of astronomical alignments in the construction of the ditched ceremonial enclosures. This study confirms that ancient roads provide key insights into past civilizations and are essential to the region’s archaeological heritage.
This paper addresses the question of the role that artificial intelligence (AI) image generators play in the reception of the ancient world, examining the assumptions on which they draw in the generation of images, and how the creation of such images influences perceptions about the classical past. After a brief outline of how AI image generators work, highlighting the inherent presumptions and biases of the visual productions, a small case study is then presented, in which the prompt ‘Roman Britain’ was submitted to eight different free image generators. The conclusion drawn from this experiment is that while the technology is impressive, none of the image generators have managed to produce pictures that effectively conjure up Roman Britain. Although the tools may be good at creating a general impression, individual details are often incorrect. Moreover, the output depends heavily on the training data available. In the case of the ancient world, no photographs exist; only archaeological remains, fragments, and later imaginative reconstructions survive. Consequently, these limitations inevitably shape the generated images. Despite these disadvantages, it is likely that AI-generated images will become part of cultural heritage, and it is, therefore, important to consider the role that such images might play in the reception of antiquity. In recognition of the problems, and the advantages, of this technology, some suggestions are made in the final section of the paper as to how generative artificial intelligence (GenAI) images may be used in a positive manner, particularly within the classroom.
In federal systems where multiple orders of government share authority, do citizens care about which order makes a policy? To investigate whether citizens place importance on the order of government and whether if they do, this reflects principled preferences or implicit assumptions about policy performance, we conducted a vignette experiment in Germany. The design of the study disentangles the effects of policy adoption and financing from the expected effectiveness of a policy and its impact on regional differences. Our findings show that citizens are largely indifferent regarding the order of government that adopts a policy, but they show a modest preference for financing by the federal government. These results suggest that previously observed preferences for federal policy-making in other studies may reflect citizens’ implicit assumptions about policy performance rather than principled support for centralization.
This paper investigates the frequency of commentary pragmatic markers in Ghanaian and Ugandan Englishes, and their use across different text categories, using the Ghanaian and Ugandan components of the International Corpus of English. These markers, which are grouped into assessment, emphasis, evidential, hearsay and manner-of-speaking markers, are explored from a variational pragmatic approach. The results show that Ghanaian English users employ an overall higher frequency of commentary pragmatic markers than Ugandan English users. Ghanaian English users utilise more commentary pragmatic markers in private and public dialogues and printed writing than Ugandan English users, while the latter employ more commentary pragmatic markers in monologues than their Ghanaian English counterparts. The study confirms the influence of local African languages and cultures on the use of some English commentary pragmatic markers, thus contributing to the research on nativisation and pragmatic variation in these varieties.
Viticulture is essential for reducing pesticide use and associated risks. Often the adoption of individual pesticide reduction measures is investigated in isolation, and little is known on broader patterns and the joint adoption of measures. We address this gap by analyzing adoption choices of Swiss grape growers across a large number of pesticide reduction measures, using a contingency analysis and a k-means clustering algorithm. We focus on how measure, farm, and farmer characteristics correlate with this adoption. The analysis uses survey data collected among 436 Swiss grapevine producers. Results indicate that farmers in our sample appear to exploit complementary effects between measures. Moreover, the cluster analysis reveals that Swiss producers can be split into two groups of roughly equal size, with one adopting a greater variety of pesticide reduction measures, and the other relying more on pesticides alone. We further identify significant differences in farm and farmer characteristics that could explain this variation in measure adoption. Our analysis has important implications for research and policy. Firstly, they underline the importance of fostering the adoption of efficient and effective measure bundles. Secondly, they highlight the need for targeted policies to mobilize farmers relying mostly on pesticides to diversify their plant protection practices and thus contribute to overall pesticide reduction.
We evaluated an endoscope surveillance culture program at a tertiary academic center from 2019–2024. Postreprocessing culture positivity was highest for esophagogastroduodenoscopy (25.9%). Carbapenem-resistant organism matches between endoscope and patient isolates occurred in 5% of positive cultures.
Emerging evidence suggests that immune dysregulation may play a key role in the pathophysiology of psychosis. However, longitudinal studies integrating both innate and adaptive immune components in the same sample remain scarce. This study aimed to examine a broad spectrum of immunological parameters in first-episode psychosis (FEP) patients, both at onset and after treatment, in comparison to healthy controls.
Methods:
Thirty-two minimally treated FEP patients (no lifetime psychotropic exposure >1 month) and 26 healthy controls were assessed at baseline. 20 patients completed a follow-up approximately one year later. Immunological markers—including complete blood count(leukocyte, neutrophil, lymphocyte, monocyte), C-Reactive Protein(CRP), SAA, complement components (C3, C4), and immunoglobulins (IgG, IgA, IgM, IgE)—were measured at both time points. First-episode psychosis was confirmed using SCID (DSM-IV). Symptom severity was evaluated using PANSS and BPRS. ROC and logistic regression analyses were performed to assess predictive value.
Results:
Neutrophil, monocyte, C3, C4 levels and neutrophil-to-lymphocyte ratio(NLR) were significantly elevated in patients at both time points, with no change over time. CRP was elevated at T1 but normalized at follow-up. In contrast, immunoglobulin levels showed temporal and dimensional associations with symptom severity. NLR was correlated with negative symptoms during the acute phase, while IgG was associated with positive symptoms during remission. Elevated NLR and C4 predicted patient status in logistic regression analysis.
Conclusion:
This longitudinal study provides a system-level immunological profile across illness phases in FEP. The findings underscore distinct and dynamic contributions of innate and adaptive immunity to the onset and progression of psychosis.