Unmasking the challenges in ideological and political education in China: A thematic review.

China's distinctive educational approach, particularly its emphasis on ideological and political education, has garnered considerable academic attention for its impact on shaping individual values, fostering citizenship, and maintaining social stability. Despite the Chinese government's prioritization of ideological and political education, academic research in this field appears constrained, with existing studies predominantly focusing on normative and descriptive aspects. Normative research delineates how ideological and political education should be executed, while descriptive research illustrates its practical implementation. The effectiveness of these approaches is significantly diminished if they are not adequately interconnected-when only the current reality is explained without providing tools for improvement or when prescribed steps for improvement lack a basis in specific contexts. This paper conducts a comprehensive review of research on ideological and political education using ATLAS. ti 9 for thematic analysis. The review aims to unveil the intricate landscape of current research in China and address key questions: What are the primary trends in the literature on ideological and political education between 2021 and July 2023? What challenges does ideological and political education face? Through a direct exploration of these issues, this paper seeks to optimize the ideological and political education system, elevate its adaptability and effectiveness, and open avenues for research, fostering a more dynamic, inclusive, and resilient development of ideological and political education.

The Awareness, Prevalence, and Risk Factors of Chronic Kidney Disease Among Diabetes Mellitus and Hypertensive Patients in the Aseer Region, Saudi Arabia.

Background and objective Given its ever-increasing burden, chronic kidney disease (CKD) represents a significant public health threat. CKD is characterized by a gradual alteration in the kidney's normal glomerular filtration rate, which results in the progressive loss of kidney function over a period of time ranging from a few months to years. Diabetes mellitus (DM) and hypertension (HTN) are well-known risk factors for developing CKD and end-stage renal failure. In light of this, this study aimed to assess the awareness, prevalence, and risk factors of CKD in patients with diabetes and those with HTN in the Aseer region, the Kingdom of Saudi Arabia. Methods A correlational cross-sectional study was conducted among a sample of people across Saudi Arabia. The data collection was conducted via an online questionnaire circulated on social media platforms. The study questionnaire included socioeconomic and demographic information and medical history of DM, HTN, and CKD. Also, patients' awareness of and attitude towards CKD were assessed. Results A total of 301 diabetic or hypertensive patients fulfilling the inclusion criteria completed the study questionnaire. Of them, 174 (57.8%) were aged less than 55 years, while 127 (42.2%) were aged more than 55 years; 200 (66.4%) patients were males. A total of 94 (31.2%) study patients were diabetic, 64 (21.3%) were hypertensive, and 143 (47.5%) were both diabetic and hypertensive; 226 (75.1%) study patients had an overall good awareness of CKD while only 75 (24.9%) showed a poor awareness level. Higher awareness was associated with patients' age, education, and having CKD, DM, or HTN (p<0.05). Conclusion Our findings revealed that CKD was not common among study patients, and its prevalence was found to be less than estimated based on many studies in the literature. Also, diabetic and hypertensive patients showed a higher than satisfactory level of awareness of CKD, especially young patients with high levels of education.

Awareness and Knowledge of Antibiotic Resistance and Risks of Self-Medication With Antibiotics Among the Aseer Region Population, Saudi Arabia, 2023.

BACKGROUND: Antibiotics are a groundbreaking discovery that revolutionized the treatment of infectious diseases in both humans and animals during the 20th century. However, their overuse and misuse led to serious public health threats, causing widespread concern and significant social and economic consequences. Microorganisms have a natural ability to develop resistance to antibiotics over time through genetic mechanisms, which has further exacerbated the problem. Unfortunately, in the last two decades, there has been a dearth of new antibacterial substances discovered, which has only worsened the situation. AIM: This study aims to assess the awareness and knowledge of antibiotic resistance and risks of self-medication with antibiotics among the Aseer region population, Saudi Arabia 2023. METHODS: An observational cross-sectional survey was conducted in Saudi Arabia targeting persons aged 18 to 80 years old living in the Aseer region, Southern of Saudi Arabia. The data were collected using a pre-structured questionnaire after an intensive literature review and expert's consultation. The questionnaire was distributed throughout the social medial channels. The study questionnaire was uploaded online till no more new cases participated and no new answers were obtained.  Results: A total of 300 participants completed the study questionnaire. Participants' ages ranged from 18 to 80 years with a mean age of 31.5 ± 12.9 years old. Exactly 200 participants (66.7%) were females. As for the educational level, 209 (69.7%) had a university level of education. Two-hundred and three (67.7%) participants had an overall poor knowledge and awareness about antibiotic resistance and risks of self-medication. Also, 103 (34.3%) participants used antibiotics without prescription before and 100 (33.3%) used leftover antibiotics from a previous infection. CONCLUSION: In conclusion, the current study showed that nearly one out of three participants in the Aseer region had unprescribed antibiotics. Another unsafe practice was that the same percent used leftover antibiotics from a previous infection. As for participants' knowledge of antibiotic resistance, also one-third of the respondents had good knowledge about the issue.

Detection of outliers in high-dimensional data using nu-support vector regression.

Support Vector Regression (SVR) is gaining in popularity in the detection of outliers and classification problems in high-dimensional data (HDD) as this technique does not require the data to be of full rank. In real application, most of the data are of high dimensional. Classification of high-dimensional data is needed in applied sciences, in particular, as it is important to discriminate cancerous cells from non-cancerous cells. It is also imperative that outliers are identified before constructing a model on the relationship between the dependent and independent variables to avoid misleading interpretations about the fitting of a model. The standard SVR and the µ-ε-SVR are able to detect outliers; however, they are computationally expensive. The fixed parameters support vector regression (FP-ε-SVR) was put forward to remedy this issue. However, the FP-ε-SVR using ε-SVR is not very successful in identifying outliers. In this article, we propose an alternative method to detect outliers i.e. by employing nu-SVR. The merit of our proposed method is confirmed by three real examples and the Monte Carlo simulation. The results show that our proposed nu-SVR method is very successful in identifying outliers under a variety of situations, and with less computational running time.

Cytotoxic and antimicrobial potential of different varieties of ripe banana used traditionally to treat ulcers.

Globally, plant as herbal medicine is used to treat different diseases. The goal of this present study was to assess the antimicrobial and cytotoxic potential of ripe banana extracts with various polarities which were grown in Oman. The powder banana samples were extracted with methanol by soaking mode. The solvent was removed by a rotary evaporator and the extract was fractionated by dissimilar polarities of solvents to give corresponding extracts. The antimicrobial and cytotoxic potential of the various polarities extracts of ripe banana were determined by modifying disc diffusion and brine shrimp lethality (BSL) bioassays. Each banana extract at different concentrations showed modest antimicrobial potential against two Gram (+) and two Gram (-) with the range of inhibition 0-13 mm. The results of cytotoxic potential revealed that the each banana extract at various applied concentrations killed the shrimp larvae. Among the extracts, the butanol and water extract gave the maximum cytotoxic potential with LC50 value of 20.12 and 24.22 µg/ml, however, the lowest cytotoxic potential was obtained in the ethyl acetate extract with LC50 value of 36.68 and 49.32 µg/ml. In our experimental results showed that the highest polarity banana extracts have significant antimicrobial and cytotoxic potential. In conclusion, the highest polarity extract could be a candidate for the use of antibiotics.

Biosensor architecture for enhanced disease diagnostics: lab-in-a-photonic-crystal.

A conceptual lab-in-a-photonic-crystal biosensor is demonstrated that can multiplex four or more distinct disease-markers and distinguish their presence and combinations simultaneously with unique spectral fingerprints. This biosensor consists of a photonic-band-gap, multi-mode waveguide coupled to surface modes on either side, encased in a glass slide with microfluidic channels. The spectral fingerprints consist of multiple peaks in optical transmission vs. frequency that respond sensitively and uniquely in both frequency shift and nonmonotonic change of peak transmittance levels to various analyte bindings. This special property enables complete, logical determination of twelve different combinations of four distinct disease-markers through one scan of the transmission spectrum. The results reveal unique phenomena such as switching between the strong-coupling and weak-coupling combinations of surface states by analyte binding at different locations along the central waveguide. The unconventional transmission spectra are explained using a Landauer-Büttiker, multiple-scattering, transmission theory that reproduces the main features of the exact finite-difference-time-domain simulation.