Stroke is one of the leading causes of death worldwide, and spontaneous bleeding into the brain parenchyma, intracerebral haemorrhage (ICH), is a stroke subtype associated with high morbidity and mortality. Overall, it comprises about 15% of all stroke in Caucasians, this figure being much higher in Asians and black people. Blood pressure (BP) appears to play an important role in this disease. We have reviewed available literature on the relationship of BP to the occurrence of primary and secondary ICH, the association of BP levels measured early after stroke with prognosis and complications, and evidence about the effects of early BP lowering treatments on post-stroke outcomes. BP appears to be an important risk factor for primary and secondary ICH. In addition, high BP early after ICH may be detrimental to outcome, possibly contributing to complications such as rebleeding and haematoma enlargement. Few data are available about the effects of early lowering of BP on outcome after ICH with no reliable trial yet conducted. Proper randomised trials are required to establish the effect of early lowering of BP on outcome after ICH.
Water is a vital resource supporting a broad spectrum of ecosystems and human activities. The quality of river water has declined in recent years due to the discharge of hazardous materials and toxins. Deep learning and machine learning have gained significant attention for analysing time-series data. However, these methods often suffer from high complexity and significant forecasting errors, primarily due to non-linear datasets and hyperparameter settings. To address these challenges, we have developed an innovative HDTO-DeepAR approach for predicting water quality indicators. This proposed approach is compared with standalone algorithms, including DeepAR, BiLSTM, GRU and XGBoost, using performance metrics such as MAE, MSE, MAPE, and NSE. The NSE of the hybrid approach ranges between 0.8 to 0.96. Given the value's proximity to 1, the model appears to be efficient. The PICP values (ranging from 95% to 98%) indicate that the model is highly reliable in forecasting water quality indicators. Experimental results reveal a close resemblance between the model's predictions and actual values, providing valuable insights for predicting future trends. The comparative study shows that the suggested model surpasses all existing, well-known models.
The ABO, MN and Rh blood types, and the Hp, Tf, and Gm [Gm (a), Gm (x), Gm(b), and Gm-like] factors were determined for 128 unrelated Indians (parents of families, 63 with two parents tested and two with one parent tested), and 90 unrelated Chinese (parents of 46 families, 44 with two parents tested and two with one parent tested), and for the offspring from these families. The frequencies of the several blood types are presented. They were done primarily to aid in paternity testing. They compare favorably with the findings of previous studies. The allele Hp1 is rare in the Indian population (.09) and relatively infrequent in the Chinese (.29). Unfortunately, the data shed no light on the problem of the inheritance of the phenotype Hp O. Only Tf C was found among the Indians. About four per cent of the Chinese were heterozygous for Tf CD,, all other were Tf CC. The Indians have a high frequency of Gm(a) and of Gm (x), and a low frequency of Gm (b). They appear to have alleles Gma, Gmax, and Gmb in the following frequencies: .535, .234(5), and .230(5), respectively. Three families appear to have a GMxb allele, providing the offspring are not extra-marital. The Chinese appear to have the alleles Gm^ab, Gm^a, and Gm^ax in the following frequencies: .741, .231, and .028, respectively.
Reliable statistics related to the prevalence, incidence and mortality of hypertension and stroke are not available from Asia. The data may be in national or institutional reports or journals published in the local language only. The mortality rate for stroke has been on the decline since the mid 1960s in the developed countries of Asia, such as Australia, New Zealand, and Japan, with some improvement in Singapore, Taiwan and Hong Kong, some areas of China and Malaysia about 15 years later. In India, China, Philippines, Thailand, Sri Lanka, Iran, Pakistan, Nepal, there has been a rapid increase in stroke mortality and prevalence of hypertension. The prevalence of hypertension according to new criteria (>140/90 mm Hg) varies between 15-35% in urban adult populations of Asia. In rural populations, the prevalence is two to three times lower than in urban subjects. Hypertension and stroke occur at a relatively younger age in Asians and the risk of hypertension increases at lower levels of body mass index of 23-25 kg/m2. Overweight, sedentary behaviour, alcohol, higher social class, salt intake, diabetes mellitus and smoking are risk factors for hypertension in most of the countries of Asia. In Australia, New Zealand and Japan, lower social class is a risk factor for hypertension and stroke. Population-based long-term follow-up studies are urgently needed to demonstrate the association of risk factors with hypertension in Asia. However prevention programmes should be started based on cross-sectional surveys and case studies without waiting for the cohort studies.