Exploring machine learning applications in Meningioma Research (2004-2023).

Objective: This study aims to examine the trends in machine learning application to meningiomas between 2004 and 2023. Methods: Publication data were extracted from the Science Citation Index Expanded (SCI-E) within the Web of Science Core Collection (WOSCC). Using CiteSpace 6.2.R6, a comprehensive analysis of publications, authors, cited authors, countries, institutions, cited journals, references, and keywords was conducted on December 1, 2023. Results: The analysis included a total of 342 articles. Prior to 2007, no publications existed in this field, and the number remained modest until 2017. A significant increase occurred in publications from 2018 onwards. The majority of the top 10 authors hailed from Germany and China, with the USA also exerting substantial international influence, particularly in academic institutions. Journals from the IEEE series contributed significantly to the publications. "Deep learning," "brain tumor," and "classification" emerged as the primary keywords of focus among researchers. The developmental pattern in this field primarily involved a combination of interdisciplinary integration and the refinement of major disciplinary branches. Conclusion: Machine learning has demonstrated significant value in predicting early meningiomas and tailoring treatment plans. Key research focuses involve optimizing detection indicators and selecting superior machine learning algorithms. Future efforts should aim to develop high-performance algorithms to drive further innovation in this field.

Methylation Levels in the Promoter Region of FHIT and PIAS1 Genes Associated with Mastitis Resistance in Xinjiang Brown Cattle.

Mastitis causes serious economic losses in the dairy industry, but there are no effective treatments or preventive measures. In this study, the ZRANB3, PIAS1, ACTR3, LPCAT2, MGAT5, and SLC37A2 genes in Xinjiang brown cattle, which are associated with mastitis resistance, were identified using a GWAS. Pyrosequencing analysis showed that the promoter methylation levels of the FHIT and PIAS1 genes in the mastitis group were higher and lower, respectively, than those in the healthy group (65.97 ± 19.82% and 58.00 ± 23.52%). However, the methylation level of the PIAS1 gene promoter region in the mastitis group was lower than that in the healthy group (11.48 ± 4.12% and 12.17 ± 4.25%). Meanwhile, the methylation levels of CpG3, CpG5, CpG8, and CpG15 in the promoter region of the FHIT and PIAS1 genes in the mastitis group were significantly higher than those in the healthy group (p < 0.01), respectively. RT-qPCR showed that the expression levels of the FHIT and PIAS1 genes were significantly higher in the healthy group than those in the mastitis group (p < 0.01). Correlation analysis showed that the promoter methylation level of the FHIT gene was negatively correlated with its expression. Hence, increased methylation in the promoter of the FHIT gene reduces the mastitis resistance in Xinjiang brown cattle. Finally, this study provides a reference for the molecular-marker-assisted selection of mastitis resistance in dairy cattle.

Epidemiological, clinical, and household transmission characteristics of children and adolescents infected with SARS-CoV-2 Omicron variant in Shanghai, China: a retrospective, multicenter observational study.

OBJECTIVES: To describe the epidemiological, clinical, and household transmission characteristics of pediatric COVID-19 cases in Shanghai, China. METHODS: Pediatric patients with COVID-19 hospitalized in Shanghai from March-May 2022 were enrolled in this retrospective, multicenter cohort study. The symptoms and the risk factors associated with disease severity were analyzed. RESULTS: In total, 2620 cases (age range, 24 days-17 years) were enrolled in this study. Of these, 1011 (38.6%) were asymptomatic, whereas 1415 (54.0%), 190 (7.3%), and 4 (0.2%) patients developed mild, moderate, and severe illnesses, respectively. Household infection rate was negatively correlated with household vaccination coverage. Children aged 0-3 years, those who are unvaccinated, those with underlying diseases, and overweight/obese children had a higher risk of developing moderate to severe disease than children aged 12-17 years, those who were vaccinated, those without any underlying disease, and those with normal weight, respectively (all P <0.05). A prolonged duration of viral shedding was associated with disease severity, presence of underlying diseases, vaccination status, and younger age (all P <0.05). CONCLUSION: Children aged younger than 3 years who were not eligible for vaccination had a high risk of developing moderate to severe COVID-19 with a prolonged duration of viral shedding. Vaccination could protect children from COVID-19 at the household level.

First Report of Achromobacter Xylosoxidans Causing Stem Soft Rot on Amorphophallus Konjac in China.

Amorphophallus konjac is one of the important commercial crops cultivated in south China and has long been used as a food source and a traditional medicine, because it is the only species with glucomannan and other trace elements (Ban et al. 2009; Melinda et al. 2010). In June of 2021, an outbreak of stem soft rot disease was observed on A. konjac plants in more than 2,000 square meters of agricultural planting fields in the Fuyuan country (25°34'50″N, 104°04'21″E), Qujing City, Yunnan Province, China. The disease incidence ranged from 30 to 35% in severely infested fields. The diseased plants displayed the first symptoms were damp brown spots. As the brown spots expanded, dark brown water stains appeared at the basal part of the stem and the bulbs were rotting with a foul smell, gradually extending to the underground parts. Progressively, the whole plants wilted and collapsed, and even the plants ultimately died. To identify the pathogen, symptomatic stems were cut into pieces, surface sterilized with 75% (v/v) ethanol, and placed on LB (tryptone/yeast extract/NaCl) medium for 24 to 48 hours at 28 ± 2°C. Six single-colony isolates were obtained from the diseased stems. The colonies on LB present a raised milky white opaque colonies moisture on the surface, round and convex in shape, with neat edges. Scanning electron microscopy showed that the cells were short rods (0.3∼0.5) × (1.9∼2.1)µm in size without any flagellum and were often arranged in pairs or clusters at certain angles. The 16S rDNA sequence of the randomly selected strain MY-G1 with primers 27F/1492R (Ying et al. 2012) and the housekeeping genes nusA, eno, lepA and nuoL (Spilker et al. 2012) were amplified and sequenced. The 16S rDNA sequence of the 1326 bp product was deposited in GenBank (accession no. ON786717) and showed a 99.77% similarity to A. xylosoxidans strain E2 (accession no. MK849863.1). The nusA (OP680477), eno (OP680479), lepA (OP680481) and nuoL (OP680482) sequences showed 94.71%, 97.24%, 94.64% and 95.95% similarity to A. xylosoxidans strain DN002 (accession no. CP045222.1), respectively. The phylogenetic trees built based on 16S rRNA and the nusA-eno-lepA-nuoL multilocus analysis showed the isolate MY-G1 to cluster with A. xylosoxidans. Based on morphological and molecular analysis, the isolated MY-G1 was identified as A. xylosoxidans, which indicates that MY-G1 is a new strain of A. xylosoxidans. Pathogenicity tests were confirmed on the stem and petiole of one-year-old A. konjac. The wounds were made by puncturing with a MY-G1 bacteria suspension containing 108 CFU/ml (15ul/inoculation site). As a negative control, control seedlings were injected with the same amount of sterilized distilled water. Control and inoculated seedlings (each six) were kept in greenhouses and watered as needed in controlled conditions: 28°C, 75% relative humidity. Inoculated seedlings presented similar symptoms of stem soft rot, inner medulla disintegration, and wilt of leaves on developed within 3 to 9 days. The bacterial pathogen was re-isolated from inoculated seedlings and identified by morphological and molecular methods to fulfill Koch's postulates test. According to previous research, A. xylosoxidans can cross-kingdom infect animals and plants (Aisenberg et al.,2004; Ye et al.,2018). To the best of our knowledge, this is the first report of A. xylosoxidans causing stem soft rot of A. konjac in China, expanding the known pathogen for the soft rot of A. konjac, and also the host range of A. xylosoxidans.

Performance prediction and optimization for healthcare enterprises in the context of the COVID-19 pandemic: an intelligent DEA-SVM model.

The coronavirus disease (COVID-19) pandemic has caused significant changes in the external environment of enterprises, resulting in tremendous negative impacts. Accordingly, the irregular fluctuation of business data poses a critical challenge to traditional approaches. Therefore, to combat the effects of the COVID-19 pandemic, an effective model is required to proactively predict an enterprise's performance and simultaneously generate scientific performance optimization solutions. Consequently, at the intersection of artificial intelligence algorithms, operations research, and management science, an intelligent DEA-SVM model, which has a theoretical contribution, is developed in this study. The capabilities of this model are verified through sufficient numerical experiments. On the one hand, this model outperforms traditional algorithms in prediction accuracy. On the other hand, effective performance optimization solutions for low-performance enterprises are obtained from the input-output perspective. Moreover, the application value of this model is reflected in its successful implementation in the healthcare industry. Thus, it is a user-friendly tool for realizing the stable operation of enterprises in the context of the COVID-19 pandemic.

The impact of hospital attributes on patient choice for first visit: evidence from a discrete choice experiment in Shanghai, China.

The underutilization of primary care in urban China threatens the efficiency and effectiveness of the Chinese health system. To guide patient flow to primary care, the Chinese government has rolled out a sequence of health care reforms which improve the affordability, the infrastructure and workforce of the primary care system. However, these measures have not yielded the desired effect on the utilization of primary care, which is lowest in urban areas. It is unclear how the factors identified to influence facility choice in urban China are actually impacting choice behaviour. We conducted a discrete choice experiment to elicit the quantitative impact of facility attributes when choosing a health care facility for first visit and analysed how the stated choice varies with these attributes. We found that the respondents placed different weights on the identified attributes, depending on whether they perceived their condition to be minor or severe. For conditions perceived as minor, the respondents valued visit time, equipment and medical skill most. For conditions perceived as severe, they placed most importance on equipment, travel time and facility size. We found that for conditions perceived as minor, only 14% preferred visiting a facility over opting out, a percentage which would more than double to 37% if community health centres were maximally improved. For conditions perceived as severe, improvements in community health centres may almost double first visits to primary care, mostly from patients who would otherwise choose higher-level facilities. Our findings suggest that for both severity conditions, improvements to medical equipment and medical skill at community health centres in urban China can effectively direct patient flow to primary care and promote the efficiency and effectiveness of the urban health system.

Why patients prefer high-level healthcare facilities: a qualitative study using focus groups in rural and urban China.

INTRODUCTION: Despite policy measure to strengthen and promote primary care, Chinese patients increasingly choose to access higher level hospitals. The resulting overcrowding at higher level hospitals and underutilisation of primary care are viewed to diminish the effects of the continuing health system investments on population health. We explore the factors that influence the choice of healthcare facility level in rural and urban China and aim to reveal the underlying choice processes. METHODS: We conducted eight semistructured focus group discussions among the general population and the chronically ill in a rural area in Chongqing and an urban area in Shanghai. Respondents' discussions of (evidence-based) factors and how they influenced their facility choices were analysed using qualitative analysis techniques, from which we elicited choice process maps to capture the partial order in which the factors were considered in the choice process. RESULTS: The factors considered, after initial illness perception, varied over four stages of health service utilisation: initial visit, diagnosis, treatment and treatment continuation. The factors considered per stage differed considerably between the rural and urban respondents, but less so between the general population and the chronically ill. Moreover, the rural respondents considered the township health centres as default and prefer to continue in primary care, yet access higher levels when necessary. Urban respondents chose higher levels by default and seldom moved down to primary care. CONCLUSIONS: Disease severity, medical staff, transportation convenience, equipment and drug availability played important roles when choosing healthcare facilities in China. Strengthening primary care correspondingly may well be effective to increase primary care utilisation by the rural population but insufficient for the urban population. The developed four-stage process maps are general enough to serve as the basis for (partially) ordering factors influencing facility level choices in other contexts.

Acupuncture for chronic Achilles tendnopathy: a randomized controlled study.

OBJECTIVE: To examine whether acupuncture treatment would improve outcome in chronic Achilles tendinopathy. METHODS: A randomized, controlled trial at two centers of 64 randomized patients aged 18 to 70 years with chronic Achilles tendinopathy was conducted from July 2007 to April 2010, with follow-up until October, 2010. These patients were randomly allocated into an acupuncture treatment group (acupuncture group) and an eccentric exercises group (control group). The validated Victorian Institute of Sports Assessment-Achilles (VISA-A) questionnaire was completed at baseline and 8, 16, and 24 weeks. The pain at rest and after activity was accessed at baseline and 8 weeks with Visual Analogue Scale (VAS). RESULTS: After randomization into the acupuncture group or control group, one patient was loss of follow-up. The mean VISA-A score improved signifificantly after 8 weeks in the acupuncture group to 67.1 points [95% confifidence interval (CI), 64.1-70.2] and in the control group to 48.5 points (95% CI, 45.5-51.6) with an additional 18.6 points increase in acupuncture treatment patients (P=0.0000). Acupuncture treatment resulted in a significant increase from baseline in VISA-A of 25.8 after 16 weeks and 28.4 after 24 weeks. Whereas, in the control group the increase from baseline in VISA-A were 10.0 and 16.6 after 16 and 24 weeks, respectively (P=0.0000). The VAS diminished by 2.0 cm after activity, and by 1.5 cm at rest after 8 weeks in the control group. In the acupuncture group, the pain scores diminished significantly more than in the control group, with pain reduction of 3.7 cm after activity (P=0.0000) and 3.2 cm at rest (P =0.0000). CONCLUSION: Acupuncture intervention could improve pain and activity in patients with chronic Achilles tendinopathy compared with eccentric exercises.