Two new species of Kalyptorhynchia (Rhabdocoela), namely Itaipusa sinensis n. sp. (Koinocystididae) and Prognathorhynchus sinensis n. sp. (Gnathorhynchidae) were described from brackish water near Shenzhen Bay, representing the first records of Koinocystididae and Gnathorhynchidae in China. For I. sinensis n. sp., the U-shaped cirrus contains 50 triangular lamellar spines, with two cuticular (pseudocuticular) hooks situated at both sides of its anterior part. The hook I (right side) is funnel-shaped, while the hook II (left side) is triangular lamellar in shape. For P. sinensis n. sp., the proboscis hook has two hooks situated in an anterior to posterior sequence. The semicircular tubular stylet has a hollow spherical dead end posteriorly to the distal opening. Both the morphological and phylogenetic (18S rDNA and 28S rDNA) analyses support the establishment of these two new species.
Two new species of Macrostomum (Platyhelminthes: Macrostomorpha), M. shiyanensis n. sp. and M. lankouensis n. sp. are described from Shiyan Reservoir and Lankou Town. Morphological characteristics of the penis stylets and sperm, as well as the phylogenetic analysis using concatenated sequences of 18S and 28S rDNA genes support the establishment of these two new species and indicate that they are closely related to M. sinensis and M. heyuanensis described from different regions of Guangdong province. Finally, the progress of molecular phylogenetics of Macrostomum worldwide is also discussed.
There is limited information about the ecology of freshwater flatworms in China, in particular, the members of the genus Macrostomum. Surveying freshwater bodies to explore the species diversity is the first step to obtain more ecological information about those flatworms. We hereby report the discovery of two new species of freshwater flatworms in Macrostomum. Macrostomum chongqingensis Lin and Wang, n. sp. was discovered from stones in the shallow water of Jialing River bed near Chongqing. Macrostomum zhaoqingensis Lin and Wang, n. sp. was discovered in the water of Xing Lake near Zhaoqing city, Guangdong province. Xing Lake is a part of an ancient river that has changed its course. For each species, we describe the morphology of the whole specimen, penis stylet, and sperm, as well as other internal anatomical features based on serial sections. We determined 18S, 28S rDNA and COI sequences from the two new species, and performed a phylogenetic analysis to confirm the status and evolutionary position of the two new species. We discuss the significance of our discoveries in terms of flatworm biodiversity studies in China and the Oriental realm.
The global population is ageing; exacerbating a range of age-related health problems, like dementia. In the late stage of dementia, patients often are unable to find words to express their feelings; causing serious challenges in healthcare. Our aim is to detect the emotions of elderly patients using physiological signals-electroencephalogram (EEG) and electrocardiogram (ECG)-using deep learning neural networks. However, most EEG and ECG monitoring devices are uncomfortable and not suitable for daily wear by elderly people. For this study, a prior experiment was conducted on 5 healthy elderly subjects for binary classification of positive and negative emotions: EEG and ECG data were collected from the subjects, using our own designed wearable textile devices while they watch selected stimuli. We propose an end-to-end deep learning method-Long short-term memory (LSTM)-to detect emotion from raw clean signals after removing noises and baseline wander. LSTM can learn features from raw data directly and achieve binary emotion classification with an accuracy of 76.67% with EEG signals, 75.00% with ECG signals, and 95.00% with EEG and ECG signals, respectively. This proposed system for detecting emotion by deep learning method using our userfriendly and easy-to-wear textile devices offer great prospects for use in everyday care situations and dementia care.
Optimization of palm fruit sterilization by microwave irradiation using response surface methodology M Sarah, I Madinah and S Salamah -Study on the technology of compound enzymatic hydrolysis of whole passion fruit Yu-xia Yang, Zhen-hua Duan, Chao Kang et al. Corresponding author e-mail: schnell19@qq.comAbstract. Fucoxanthin is a carotenoid which occurs in marine brown algae and exerts multiple beneficial effects on human health, including the anti-diabetic, anti-obesity, anti-cancer, and antioxidant. The aim of this study was to maximise the extraction yield of fucoxanthin from laminaria japonica. By using microwave synergistic enzyme method, the extraction condition, namely the enzyme amount, complex enzyme ratio and microwave temperature were investigated and optimized with Response surface methodology (RSM) combined with BoxBehnken design (BBD). Microwave temperature was found to have the most significant effect on fucoxanthin extraction yield. With the optimized process parameter of extraction in this work, extraction yield of 0.443mg fucoxanthin /g dry algae was obtained by 0.14g enzyme, complex enzyme ratio ( pectinase : cellulase) of 1.12 and microwave temperature at 42.6℃. Therefore, with higher efficiency and low energy consumption system this method can be realized simpler.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.