Quality of life, care problems and care needs of Chinese older patients with dementia under the perspective of long-term care insurance.

Background: It is necessary for home caregivers to provide precise care for older people with dementia.

Objectives: To understand the home care quality of life and its influencing factors of older people with dementia who receive long-term care insurance, care issues and intrinsic care needs.

Methods: We used descriptive statistical analyses to analyze existing care issues and care service needs.

Enhancing Collaboration in Heterogeneous Multiagent Systems Through Communication Complementary Graph.

Heterogeneous multiagent systems are characterized by diverse task distributions, which are prevalent in practical scenarios, such as distributed decision making and robotic collaboration. A significant challenge in these systems is the constraint of limited observations, where each agent has access only to partial information. Many studies facilitate information exchange by employing shared parameters among agents.

Effects of wind speed and wind direction on crop yield forecasting using dynamic time warping and an ensembled learning model.

The cultivation of cashew crops carries numerous economic advantages, and countries worldwide that produce this crop face a high demand. The effects of wind speed and wind direction on crop yield prediction using proficient deep learning algorithms are less emphasized or researched. We propose a combination of advanced deep learning techniques, specifically focusing on long short-term memory (LSTM) and random forest models.

Nutritional Management of Lung Cancer Patients Undergoing Chemotherapy: A Qualitative Exploration of Patients' and Healthcare Professionals' Perspectives.

Objectives: To describe the experiences of lung cancer patients undergoing chemotherapy in nutrition management and the problems in the process of implementing nutrition management for patients by healthcare professionals.

Methods: This is a qualitative descriptive study. Qualitative data were collected through semistructured interviews with lung cancer patients undergoing chemotherapy (N = 16) and healthcare professionals (N = 24) from the oncology department at three tertiary grade A hospitals.

Association between short-term exposure to ambient air pollution and upper respiratory tract infection in Kunshan.

The health effects of air pollution have become a major public health problem. Studies on the relationship between short-term exposure to air pollutants and upper respiratory tract infection (URTI) related clinic visits and expenditures were scarce. From January 1, 2019, to December 31, 2021, we included all the URTI cases that turned to 11 public hospitals in Kunshan, and summarized individual medical cost.

Prognostic significance of the Gustave Roussy immune (GRIm) score in cancer patients: a meta-analysis.

Background: The prognostic value of the Gustave Roussy immune (GRIm) score in cancer patients has been widely reported but remains inconsistent. The aim of this study is to systematically investigate the relationship between the GRIm score and survival outcomes in cancer patients.

Methods: Relevant literature was identified using electronic databases including Web of Science, PubMed, and Embase from the inception to March 2023.

A comprehensive transfer news headline generation method based on semantic prototype transduction.

Most current deep learning-based news headline generation models only target domain-specific news data. When a new news domain appears, it is usually costly to obtain a large amount of data with reference truth on the new domain for model training, so text generation models trained by traditional supervised approaches often do not generalize well on the new domain-inspired by the idea of transfer learning, this paper designs a cross-domain transfer text generation method based on domain data distribution alignment, intermediate domain redistribution, and zero-shot learning semantic prototype transduction, focusing on the data problem with no reference truth in the target domain. Eventually, the model can be guided by the most relevant source domain data to generate headlines from the target domain news text through the semantic correlation between source and target domain data during the training process of generating headlines for the target domain news, even without any reference truth of the news headlines in the target domain, which improves the usability of the text generation model in real scenarios.

Spirituality as a Mediator Between Social Support and Benefit Finding Among Advanced Cancer Patients.

Background: Social support and benefit finding (BF) are important for cancer patients. The relationship between social support and BF has not been studied sufficiently in patients with advanced cancer, and the mechanism through which social support might influence BF is unclear.

Objective: This study aimed to investigate the relationship between social support and BF in Chinese patients with advanced cancer as mediated by their perceptions of spirituality.

TEP2MP: A text-emotion prediction model oriented to multi-participant text-conversation scenario with hybrid attention enhancement.

With the rapid development of online social networks, text-communication has become an indispensable part of daily life. Mining the emotion hidden behind the conversation-text is of prime significance and application value when it comes to the government public-opinion supervision, enterprise decision-making, etc. Therefore, in this paper, we propose a text emotion prediction model in a multi-participant text-conversation scenario, which aims to effectively predict the emotion of the text to be posted by target speaker in the future.

Fusion of Chitin-Binding Domain From SYBC-H1 to the Leaf-Branch Compost Cutinase for Enhanced PET Hydrolysis.

Polyethylene terephthalate (PET) is a mass-produced petroleum-based non-biodegradable plastic that contributes to the global plastic pollution. Recently, biocatalytic degradation has emerged as a viable recycling approach for PET waste, especially with thermophilic polyester hydrolases such as a cutinase (LCC) isolated from a leaf-branch compost metagenome and its variants. To improve the enzymatic PET hydrolysis performance, we fused a chitin-binding domain (ChBD) from SYBC-H1 to the C-terminus of the previously reported LCC variant, demonstrating higher adsorption to PET substrates and, as a result, improved degradation performance by up to 19.

Multi-Resolution Image Segmentation Based on a Cascaded U-ADenseNet for the Liver and Tumors.

The liver is an irreplaceable organ in the human body, maintaining life activities and metabolism. Malignant tumors of the liver have a high mortality rate at present. Computer-aided segmentation of the liver and tumors has significant effects on clinical diagnosis and treatment.

Highly selective ratiometric peptide-based chemosensors for zinc ions and applications in living cell imaging: a study for reasonable structure design.

Recently, fluorescent peptide-based chemosensors have been reported and used to detect series of metal ions in both aqueous solutions and living cells. In order to explore and indicate the structural regulations of "fluorophore-(His)-Pro-Gly-(His)-fluorophore (HL peptide sensor)", we predict the relationship between the number of histidine molecules and the coordination activity, as well as the preferred coordination site, through computational studies. L was modeled as showing the highest activity with the lowest calculated ΔE, and inner histidine residues bonding with the "Pro-Gly" core structure always provided essential coordination sites for zinc ions.

Effect of TP53 codon 72 and MDM2 SNP309 polymorphisms on survival of gastric cancer among patients who receiving 5-fluorouracil-based postoperative adjuvant chemotherapy.

Purpose: Several studies have examined the prognostic value of the TP53 Arg72Pro polymorphism (rs1042522) and/or MDM2 SNP309 (rs2279744) in multiple tumors. Our aim was to determine whether these two genetic variants were correlated with clinical outcome of gastric cancer.

Methods: We genotyped the two SNPs, TP53 codon 72 polymorphism and MDM2 SNP309, in 940 gastric cancer patients with complete follow-up information and analyzed the correlation between the SNPs and gastric cancer survival.

Differential expression of microRNA species in human gastric cancer versus non-tumorous tissues.

Background And Aim: MicroRNAs (miRNAs) play important roles in carcinogenesis. The global miRNA expression profile of gastric cancer has not been reported. The purpose of the present study was to determine the miRNA expression profile of gastric cancer.

Detection of miR-106a in gastric carcinoma and its clinical significance.

Background: MicroRNAs (miRNAs) play important roles in carcinogenesis. miRNA-106a (miR-106a) has oncogenic activity in humans, and often has altered expression. The clinical significance of miR-106a in the diagnosis of gastric carcinoma is poorly understood.