National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, 54874, Republic of Korea; Department of Biology Education, Jeju National University, Jeju, 63243, Republic of Korea. Electronic address: paper777@jejunu.ac.kr.
Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, 12 South Zhong-Guan-Cun Street, Beijing, 100081, China.
Graduate School of Chinese Academy of Agricultural Sciences, 12 Zhong-Guan-Cun Street, Beijing, 100081, China.
School of Plant Protection, Anhui Agricultural University, Hefei 230036, China; Key Laboratory of Agri-products Quality and Biosafety (Anhui Agricultural University), Ministry of Education, Hefei 230036, China; Key Laboratory of Integrated Crop Pest Management of Anhui Province, School of Plant Protection, Anhui Agricultural University, Hefei 230036, China. Electronic address: chenyu66891@sina.com.
Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, Jilin Province, China; Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, Northeast Normal University, Changchun, 130024, Jilin Province, China.
Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, Jilin Province, China.
Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, Jilin Province, China.
Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, Jilin Province, China.
Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, Jilin Province, China.
Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, Northeast Normal University, Changchun, 130024, Jilin Province, China. Electronic address: gaoyz108@nenu.edu.cn.
Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, Jilin Province, China. Electronic address: tiancj@neigae.ac.cn.
Key Laboratory of Molecular Medicine and Biotherapy in the Ministry of Industry and Information Technology, Department of Biology, School of Life Sciences, Beijing Institute of Technology, Beijing, People's Republic of China.
State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, People's Republic of China.
State Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, People's Republic of China.
State Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, People's Republic of China.
Key Laboratory of Molecular Medicine and Biotherapy in the Ministry of Industry and Information Technology, Department of Biology, School of Life Sciences, Beijing Institute of Technology, Beijing, People's Republic of China.
Key Laboratory of Molecular Medicine and Biotherapy in the Ministry of Industry and Information Technology, Department of Biology, School of Life Sciences, Beijing Institute of Technology, Beijing, People's Republic of China. donghaipeng@mail.hzau.edu.cn.
When a patient's treatment decisions are the product of delusion, this is often taken as a paradigmatic case of undermined decisional capacity. That is to say, when a patient refuses treatment on the ...
Clinicians in mental healthcare have few objective tools to identify and analyze their patient's care needs. Clinical decision aids are tools that support this process. This study examines whether 1) ...
Clinicians participated in consultations (n = 166) with patients diagnosed with psychotic disorders from four Dutch mental healthcare institutions (research registration number 201700763). Primary out...
First, a significant increase in discussed care needs for TREAT compared to both TAU conditions (β = 20.2, SE = 5.2, p = 0.00 and β = 15.8, SE = 5.4, p = 0.01) was found. Next, a significant increase ...
TREAT improved the discussion about physical health issues and social wellbeing related topics. It also increased evidence-based treatment decisions for care needs which are sometimes overlooked and d...
Root-filled teeth presenting with signs of post-treatment disease is a common finding in virtually every dental practice. There is both empirical and experimental evidence that, as long as the conditi...
Phenomenology gives rise to certain ontological considerations that have far-reaching implications for standard conceptions of patient autonomy in medical ethics, and, as a result, the obligations of ...
Pulmonary fibrosis (PF) encompasses a spectrum of chronic lung diseases that progressively impact the interstitium, resulting in compromised gas exchange, breathlessness, diminished quality of life (Q...
The continuous improvement in cancer care over the past decade has led to a gradual decrease in cancer-related deaths. This is largely attributed to improved treatment and disease management strategie...
Acute suppurative thyroiditis are infrequent infections, although their early and proper management are needed to reduce complications and recurrences. We review the clinical presentation, etiology, c...
Clinical decision-making (CDM) plays an integral role in the work of a physical therapist and has ramifications for patient outcomes and experience. Rational decision-making - acting in a manner that ...
The use of race measures in clinical prediction models is contentious. We seek to inform the discourse by evaluating the inclusion of race in probabilistic predictions of illness that support clinical...
Heart failure represents a life-threatening progressive condition. Early diagnosis and adherence to clinical guidelines are associated with improved outcomes for patients with heart failure. However, ...
To assess the clinical decision-making related to heart failure diagnosis by evaluating clinicians' preferences for clinical attributes....
Conjoint analysis with 33 clinical scenarios with physicians employed in public hospitals in Kosovo....
Two public hospitals in Kosovo that benefited from quality improvement intervention....
14 physicians (internists and cardiologists) in two hospitals in Kosovo....
The primary outcome was the overall effect of clinical attributes on the decision for heart failure diagnosis....
When considering clinical signs, the likelihood of a heart failure diagnosis increased for ages between 60 to 69 years old (RRR, 1.88; CI 95%, 1.05-3.34) and a stable heart rate (RRR, 1.93; CI 95%, 1....
We often found odd and wide variations of clinical signs and examination results influencing the decision to diagnose a person with heart failure. It will be important to explore and understand these ...
