Basic Information Research Articles

Evaluating AI in medicine: a comparative analysis of expert and ChatGPT responses to colorectal cancer questions

Colorectal cancer (CRC) is a global health challenge, and patient education plays a crucial role in its early detection and treatment. Despite progress in AI technology, as exemplified by transformer-like models such as ChatGPT, there remains a lack of in-depth understanding of their efficacy for medical purposes. We aimed to assess the proficiency of ChatGPT in the field of popular science, specifically in answering questions related to CRC diagnosis and treatment, using the book “Colorectal Cancer: Your Questions Answered” as a reference. In general, 131 valid questions from the book were manually input into ChatGPT. Responses were evaluated by clinical physicians in the relevant fields based on comprehensiveness and accuracy of information, and scores were standardized for comparison. Not surprisingly, ChatGPT showed high reproducibility in its responses, with high uniformity in comprehensiveness, accuracy, and final scores. However, the mean scores of ChatGPT’s responses were significantly lower than the benchmarks, indicating it has not reached an expert level of competence in CRC. While it could provide accurate information, it lacked in comprehensiveness. Notably, ChatGPT performed well in domains of radiation therapy, interventional therapy, stoma care, venous care, and pain control, almost rivaling the benchmarks, but fell short in basic information, surgery, and internal medicine domains. While ChatGPT demonstrated promise in specific domains, its general efficiency in providing CRC information falls short of expert standards, indicating the need for further advancements and improvements in AI technology for patient education in healthcare.

EXPLORING THE CHARACTERISTICS AND EFFECTS OF DATE PALM WASTE ON SOME PROPERTIES OF CONCRETE: A REVIEW

The growing concern about environmental pollution and the depletion of resources has led to a focus on the use of more sustainable materials. In light of this, the recycling and use of agricultural wastes is highly advanced and sought-after in the concrete technology field. Yearly, an enormous quantity of date palm waste (DPW) is produced, putting stress on the ecosystem and necessitating an urgent disposing method. For this reason, many researchers are looking into the feasibility of incorporating DPW for cement composites in an effort to improve the performance and sustainability of concrete. The use of DPW in the design of concrete and mortar mixes has a significant effect on both the fresh and hardened properties of the resulting composites. This paper reviews the basic information on the types and characteristics of DPW used in previous studies. In addition, the potential inclusion of DPW and its effect on cement-concrete performance are reviewed. This study further highlights the areas that need additional investigation for adopting these waste materials. This will advance academic research and benefit the sustainability of the construction industry.

Single‐Transistor Optoelectronic Spiking Neuron with Optogenetics‐Inspired Spatiotemporal Dynamics

AbstractThe visual system is crucial for human perception and learning, and the retina is responsible for pre‐processing visual information. Mimicking the neurobiological functions of the retina provides the basis for neuromorphic vision hardware. Here, an optogenetics‐inspired prototype capable of modifying neuron‐spiking behavior in a retina‐like manner is demonstrated. In addition to basic information processing, neuronal signal transmission in the retina is bio‐faithfully emulated using optical modulation, that is, neuronal firing is inhibited in the dark and activated upon illumination. The proposed single threshold‐switch field‐effect transistor optoelectronic neuron features an ultra‐compact design by integrating a gate‐modulated 2D MoS2 channel with a volatile threshold switch, and optoelectronic performance is achieved through a multi‐physics resistance‐matching mechanism. This study provides a promising pathway toward highly scalable and hierarchically designed spiking electronics, expanding the spectrum of neuromorphic hardware applications in the emerging field of biomimetic vision.

My Human Rights Smart City: Improving Human Rights Transparency Identification System

This article focuses on fundamental human rights based on a historical literature review. Methodologically, a literature review and application of the design thinking (DT) method were used in three sessions using storytelling techniques and canvas drawings with managers specializing in “smart and sustainable city” projects in Brazil. The scientific work demonstrates that, in the view of the participating experts selected according to the research criteria, there are many gaps regarding fundamental human rights in cities. The digitalization of cities, with its layers of digital governance, alone is insufficient to cover gaps in basic information for populations. With the participants’ insights, it was possible to design and develop a software application (app) under strict requirements with anonymization and geolocations of human rights violations. The tests also highlighted limitations and future improvements. It is believed that the article brings an innovative approach from a scientific point of view, with a high degree of originality due to the outcomes generated from the experiences of the authors and managers specializing in managing new “smart cities”. This governance tool has the potential to be installed and improved in more than 30 countries and thus serve almost 70 million citizens around the world. A software technology transfer has already been made to the project’s partner company.

Prediction of complete regression in fertility-sparing patients with endometrial cancer and apical hyperplasia: the GLOBAL model in a large Chinese cohort

BackgroundFertility preservation treatment is increasingly essential for patients with apical endometrial hyperplasia (AEH) and early endometrial cancer (EEC) worldwide. Complete regression (CR) is the main endpoint of this treatment. Accurately predicting CR and implementing appropriate interventions during treatment are crucial for these patients.MethodsWe conducted a retrospective study involving 193 patients diagnosed with atypical AEH or EEC, enrolled from January 2012 to March 2022 at our center. We evaluated 24 clinical parameters as candidate predictors and employed LASSO regression to develop a prediction model for CR. Subsequently, a nomogram was constructed to predict CR after the treatment. We evaluated the performance of the nomogram using receiver operator characteristic (ROC) curve and decision curve analysis (DCA) to assess its predictive accuracy. Additionally, we employed cumulative curves to determine the CR rate among patients.ResultsOut of the 193 patients, 173 achieved CR after undergoing fertility preservation treatment. We categorized features with similar properties and provided a list of formulas based on their coefficients. The final model, named GLOBAL (including basic information, characteristics, blood pressure, glucose metabolism, lipid metabolism, immunohistochemistry, histological type, and medication), comprised eight variables identified using LASSO regression. A nomogram incorporating these eight risk factors was developed to predict CR. The GLOBAL model exhibited an AUC of 0.907 (95% CI 0.828–0.969). Calibration plots demonstrated a favorable agreement between the predicted probability by the GLOBAL model and actual observations in the cohort. The cumulative curve analysis revealed varying cumulative CR rates among patients in the eight subgroups. Categorized analysis demonstrated significant diversity in the effects of the GLOBAL model on CR among patients with different total points (p < 0.05).ConclusionWe have developed and validated a model that significantly enhances the predictive accuracy of CR in AEH and EEC patients seeking fertility preservation treatment.

Current understanding of children's head shape and its impact on health: a cross-sectional study among pediatric medical staff in China.

Head shape problems are common in infancy and early childhood, and thus their early identification and management can benefit the health of children. This study aimed to investigate pediatric healthcare professionals' existing knowledge of children's head shape abnormalities and their associated effects in China, providing guidelines for future clinical interventions, training, and interdisciplinary collaboration. We conducted a survey among pediatric medical staff, encompassing various age groups, genders, hospitals, and professional levels. The electronic questionnaire queried respondents' basic information, knowledge pertaining to head shape issues, diagnosis and treatment approaches, and the clinical development status of head shape problems. All surveys and data collection were conducted anonymously. A total of 214 valid questionnaires were collected. Differences in the level of understanding among medical staff regarding head shape issues were observed. Medical staff in tertiary care facilities showed the highest proficiency in diagnosing and treating positional plagiocephaly and cranial asymmetry (P<0.05), while those in primary care facilities exhibited the lowest competency in diagnosing head shape abnormalities (P<0.05). Most medical staff had a partial understanding of specific aspects of head shape issues, such as identifying high-risk individuals (n=144, 67.29%), making diagnoses (n=176, 82.24%), and understanding the consequences (n=151, 70.56%), with no significant differences across medical facilities of various levels. Additionally, 99.07% (n=212) of the medical staff believed that head shape measurements should be included as a routine component of pediatric physical examinations, and 75.23% (n=161) incorporate head shape assessment as part of their routine physical examination. Furthermore, 91.12% (n=195) of the medical staff received consultations on children's head shape issues, with a higher prevalence in secondary and tertiary care facilities. Finally, 93.97% (n=201) of the participants expressed the need for further education and knowledge on pediatric head shape, with no significant differences across medical facilities of various levels. There is a limited understanding among medical personnel in China regarding children's head shape issues. Therefore, it is imperative to enhance training and educational initiatives for medical staff in China, with the goal of enhancing their awareness and knowledge regarding children's head shape problems.

Effect Predictor of Driver Synonymous Mutations Based on Multi-Feature Fusion and Iterative Feature Representation Learning.

Accurate identification of driver mutations is crucial in genetic studies of human cancers. While numerous cancer driver missense mutations have been identified, research into potential cancer drivers for synonymous mutations has shown limited success to date. Here, we developed a novel machine learning framework, epSMic, for predicting cancer driver synonymous mutations. epSMic employs an iterative feature representation scheme that facilitates the learning of discriminative features from various sequential models in a supervised iterative mode. We constructed the benchmark datasets and encoded the embedding sequence, physicochemical property, and basic information such as conservation and splicing feature. The evaluation results on benchmark test datasets demonstrate that epSMic outperforms existing methods, making it a valuable tool for researchers in identifying functional synonymous mutations in cancer. We hope epSMic can enable researchers to concentrate on synonymous mutations that have a functional impact on cancer.

Prognostic Factors and Construction of Nomogram Prediction Model of Lung Cancer Patients Using Clinical and Blood Laboratory Parameters.

This work aimed to explore the prognostic risk factors of lung cancer (LC) patients and establish a line chart prediction model. A total of 322 LC patients were taken as the study subjects. They were randomly divided into a training set (n = 202) and a validation set (n = 120). Basic information and laboratory indicators were collected, and the progression-free survival (PFS) and overall survival (OS) were followed up. Single-factor and cyclooxygenase (COX) multivariate analyses were performed on the training set to construct a Nomogram prediction model, which was validated with 120 patients in the validation set, and Harrell's consistency was analyzed. Single-factor analysis revealed significant differences in PFS (P<0.05) between genders, body mass index (BMI), carcinoembryonic antigen (CEA), cancer antigen 125 (CA125), squamous cell carcinoma antigen (SCCA), treatment methods, treatment response evaluation, smoking status, presence of pericardial effusion, and programmed death ligand 1 (PD-L1) at 0 and 1-50%. Significant differences in OS (P<0.05) were observed for age, tumor location, treatment methods, White blood cells (WBC), uric acid (UA), CA125, pro-gastrin-releasing peptide (ProGRP), SCCA, cytokeratin fragment 21 (CYFRA21), and smoking status. COX analysis identified male gender, progressive disease (PD) as treatment response, and SCCA > 1.6 as risk factors for LC PFS. The consistency indices of the line chart models for predicting PFS and OS were 0.782 and 0.772, respectively. Male gender, treatment response of PD, and SCCA > 1.6 are independent risk factors affecting the survival of LC patients. The PFS line chart model demonstrates good concordance.

Analysis of characteristics of and risk factors for otological symptoms after COVID-19 infection.

The purpose of this study was to explore the characteristics of and risk factors for otological symptoms after contracting COVID-19. We invited 468 participants who had been infected with COVID-19 to participate in a survey. 310 (66.2%) were women and 158 (33.8%) were men. The mean age is 38.73 (12.21) years. The questionnaire included their basic information, symptoms and symptom duration after SARS-CoV-2 infection, number of vaccine doses received, and details regarding otological symptoms. In total, 106/468 (22.6%) participants experienced tinnitus, 66/468 (14.1%) hearing loss, 103/468 (22.0%) aural fullness, and 71/468 (15.2%) dizziness. Women were more prone to experience tinnitus (P = 0.022) and dizziness (P = 0.001) than men. The group with hearing loss were older (P = 0.025), and their initial COVID-19 symptoms lasted longer (P = 0.028) than those of patients without. Patients with aural fullness were more likely to experience fatigue than patients without (P = 0.002). Patients experiencing dizziness were more likely to experience pharyngalgia (P = 0.040) and fatigue (P = 0.005) than those without. The number of vaccine doses was positively associated with the resolution of otological symptoms (P = 0.035). Multiple logistic regression analysis revealed that sex was an independent risk factor for tinnitus (odds ratio [OR], 1.802; 95% confidence interval [CI], 1.099-2.953; P = 0.020), the duration of initial COVID-19 symptoms for hearing loss (OR, 1.055; 95% CI, 1.008-1.105; P = 0.023), and sex for dizziness (OR, 2.870; 95% CI, 1.489-5.535; P = 0.002). Sex, age, COVID-19-related fatigue, and the duration of initial COVID-19 symptoms may affect the occurrence of otological symptoms, and vaccines may aid their resolution.

Abstract WP157: Withdrawing and Withholding of Life Sustaining Treatment After Stroke: Understanding the Content of Discussion With Families &amp; Review of Symptoms at End of Life

Background: Stroke kills 160,000 patients every year in the US. Most patients who die with stroke do so in hospital. Little is known about the acute dying process or experience of patients with stroke and their families. Objectives: The goal of this quality improvement project is to better understand the end-of-life process in patients dying with stroke at our institution, focusing on patients who were awake at end of life. Methods: Of patients admitted to our academic medical center in 2022 with stroke who died, we collected basic characteristics and information about reasoning behind WLST and the patient’s condition immediately after WLST. Among those who showed signs of wakefulness (tracking examiner or better), we searched the chart for any documentation of broadly defined goals of care conversations and patient or family symptoms assessed at end of life. Results: Of 525 patients, 118 patients (22.5%) died in hospital. Basic characteristics are listed in Table 1. WLST occurred in 99 patients (84% of decedents), of whom 33 (27.8%) showed signs of wakefulness at time of WLST. None of the patients participated in conversations, and a documented advance directive was followed in 5 (15%). After WLST, patient symptoms most frequently documented by clinicians included dyspnea (n=29), pain (n=18), and restlessness (n=12), but no non-physical symptoms (see Table 2). Family symptoms were not documented. Discussion: At least one quarter of hospital decedents after stroke showed signs of wakefulness, with patient-centered symptoms rarely documented. A standardized, systematic symptom assessment is needed to truly understand signs and symptoms during end-of life for patients with stroke.

The LILY Database: Linking Lithology to IODP Physical, Chemical, and Magnetic Properties Data

AbstractDuring each expedition of the International Ocean Discovery Program and its precursor, the Integrated Ocean Drilling Program (jointly referred to as IODP), vast arrays of data are collected from drill cores. These data, which are accessible from the IODP LIMS (Laboratory Information Management System) database, include physical, chemical, and magnetic properties collected semi‐continuously along cores using automated track systems, as well as a variety of analyses conducted on discrete subsamples taken from the cores. In addition, the lithology of all cores is described based on visual characteristics of the surface of split cores, visual examination of smear slides and thin sections, and compositional or mineralogical information derived from geochemical analyses. We extract basic lithologic information from this complex array of descriptive information and then tie that information to all other measurements. This new database is referred to as LIMS with Lithology (LILY). LILY currently contains over 34 million data from 89 km of core recovered on 42 expeditions conducted 2009–2019. Some uses of LILY include identifying the abundance of different lithologies, finding data from core intervals with a specific lithology, assessing the efficacy of coring systems in different lithologies, or characterizing and analyzing physical, chemical, and magnetic properties based on lithology. We illustrate the use of LILY by computing the grain density by lithology from over 24,000 moisture and density measurements and then use those grain densities, along with the large IODP bulk density dataset, to compute a new high‐resolution porosity dataset with over 3.7 million new porosity estimates.

A United States-based patient-reported adult polyglucosan body disease registry: initial results.

Adult Polyglucosan Body Disease (APBD) is an ultra-rare, genetic neurodegenerative disorder caused by autosomal recessive mutations in the glycogen branching enzyme gene. Knowledge of the demographic and clinical characteristics of APBD patients and the natural history of the disease is lacking. We report here initial results from a patient-reported registry of APBD patients. (1) Maximize the quality of the APBD Registry survey data; (2) provide an initial report on APBD disease progression and natural history using these data; and (3) specify next steps in the process for testing potential new therapies. Data are from members of the APBD Research Foundation (New York), surveyed from 2014 by the Columbia APBD Patient/Family (CAP) Registry. Inclusion criteria are: disease onset at age 18+ and progressive clinical triad of peripheral neuropathy, spasticity, and neurogenic bladder. Genetic testing results were used when available. Respondents found to not have APBD in clinical records were excluded. All changes and exclusions were recorded in a database edit log. Results are reported in frequency tables, bar graphs, time plots, and heat maps. The 96 respondents meeting inclusion criteria were predominantly (96.8%) White, highly educated (89.3% at least some college education), and mostly (85.1%) of Ashkenazi Jewish descent. 57.1% had at least one parent born in the United States, with at least one grandparent from Europe (excluding Russia; 75.4%), the United States (42.1%), or Russia (33.3%). 37.2% reported a family history of APBD, and 33.3% had an affected sibling. Median APBD onset age was 51 [Interquartile range (IQR) 11], and median age of diagnosis 57 (IQR 10.5). The 75 reported prior misdiagnoses were mainly peripheral neuropathy (43, 60.6%) and spinal stenosis (11, 15.1%). Although from a demographically constricted survey, the results provide basic clinical information for future studies to develop treatments for APBD.

A Retrospective Study: Clinical Characteristics and Lifestyle Analysis of Chinese Senile Gluteal Dermatosis Patients.

To summarize the clinical, histopathological and therapeutic features of senile gluteal dermatosis. Retrospective analysis of 230 cases who visited the outpatient clinic of Hangzhou No. 3 People's Hospital for skin lesions on the buttocks and hips from 2018.8-2023.8 were included in the study, basic clinical information was collected, and they were subjected to physical examination of the buttocks and hips, and 36 cases were senile gluteal dermatosis, of which 7 underwent histopathological biopsy. A total of 230 patients were included, of which 36 were diagnosed with geriatric buttock dermatosis, with a mean age of (84.2±12.6) years, mean body mass index of (21.7±3.8) kg/m2, and a male to female ratio of 2:1. There was a significant correlation between the occurrence of the disease and age, gender, body mass index, sedentary time, type of chair used, and hypertension (P<0.05). The severity of the lesions may be associated with longer sitting time and prolonged use of bamboo chairs (P<0.05). Histopathologic changes were not specific. The skin lesions could subside after general treatment such as improvement of lifestyle, use of pressure-reducing air mattresses, salicylic acid cream, and moisturizing creams. Senile gluteal dermatosis is a common senile physical dermatosis, mainly manifested as brownish scaly plaques, erythema and crusted ulcers, which can often be cured under reasonable treatment.

[Analysis of nasal flora composition in children with perennial allergic rhinitis].

Objective:This paper focuses on the diversity of nasal microbiota in children with perennial allergic rhinitis and the differences in species composition, which may be used in the future as a biomarker for disease progression and treatment. Methods:A total of 65 subjects were enrolled, including 35 perennial AR patients（AR group） and a Control group（CG group） of 30 children without AR. Collect basic information and examination reports of nasal swabs. 16S-rDNA high-throughput sequencing technology was used to detect the microbial sequence in nasal swabs, and the composition and difference of microbial diversity in each group were analyzed by bioinformatics methods. Results:The Simpson and Shannon index of the alpha diversity in the AR group had a significantly increase compared to the CG group. Beta diversity was not different between the groups. Staphylococcus（Firmicutes） of the AR group were significantly higher than that of the CG group, but Moraxella is lower than that of the CG group. Conclusion:Nasal microbial diversity and species composition of children with allergic rhinitis differ from those of healthy children, and how the differential microorganisms interact with the host and participate in immune regulation and inflammatory response requires further study.

Refining Graph Structure for Incomplete Multi-View Clustering.

As a challenging problem, incomplete multi-view clustering (MVC) has drawn much attention in recent years. Most of the existing methods contain the feature recovering step inevitably to obtain the clustering result of incomplete multi-view datasets. The extra target of recovering the missing feature in the original data space or common subspace is difficult for unsupervised clustering tasks and could accumulate mistakes during the optimization. Moreover, the biased error is not taken into consideration in the previous graph-based methods. The biased error represents the unexpected change of incomplete graph structure, such as the increase in the intra-class relation density and the missing local graph structure of boundary instances. It would mislead those graph-based methods and degrade their final performance. In order to overcome these drawbacks, we propose a new graph-based method named Graph Structure Refining for Incomplete MVC (GSRIMC). GSRIMC avoids recovering feature steps and just fully explores the existing subgraphs of each view to produce superior clustering results. To handle the biased error, the biased error separation is the core step of GSRIMC. In detail, GSRIMC first extracts basic information from the precomputed subgraph of each view and then separates refined graph structure from biased error with the help of tensor nuclear norm. Besides, cross-view graph learning is proposed to capture the missing local graph structure and complete the refined graph structure based on the complementary principle. Extensive experiments show that our method achieves better performance than other state-of-the-art baselines.

Security issues of the gold industry chain based on smart blockchain in the context of the Internet of Things

The purpose is to solve the safety production and management problems of the gold Industrial Chain and give early warning of the safety situation of the gold Industrial Chain. According to the theory of industrial chain security governance and the basic situation of the gold Industrial Chain, this work establishes a gold Industrial Chain model based on smart blockchain and system dynamics (SD), and discusses the application of the gold Industrial Chain in the Internet of Things (IoT) environment. The overall goal of the application of IoT technology to the safety management of intelligent gold mines is to take the gold mine production demand as the driving force. The digitalization of production, electromechanical, safety, dispatching, and other information realizes intelligent digital perception, assists decision-making, guides the safety management of gold mining operations, continuously improves the operation efficiency of the gold mining industry, and drives the development of the industry. Finally, it takes the resource reserve of China’s gold industry from 2011 to 2021 as the research data introduces the weighting method to assess the security situation of China’s gold Industrial Chain from 2011 to 2021. The safety performance of China's environmental industry chain is evaluated through the detailed introduction of the basic information of the gold Industrial Chain. The result shows that the security situation of China’s gold Industrial Chain from 2011 to 2021 shows an overall growth trend, 88.42% higher than in 2014. The security situation of China’s gold Industrial Chain from 2011 to 2021 positively impacted the opening of the domestic gold market and entering the international gold market, improving the security level of China’s gold Industrial Chain. In this work, a gold Industrial Chain security model based on smart blockchain and SD is established to solve the safety problem of the gold Industrial Chain, which can improve the safety level of the gold industry and promote its sustainable development.

Knowledge, Awareness, and Determinants of Medication Adherence in Hypertensive Patients: A Hospital-Based Cross-sectional Study in North India

ABSTRACT Background: Knowledge and awareness studies reveal the basic information of the community and the misconceptions in relation to practices of a disease. The identification of such factors is important as they directly influence the health care-related interventions. Hypertension is one of the emerging noncommunicable diseases (NCDs) globally. So, we conducted this study to assess the status of our community regarding hypertension. Materials and Methods: The study was conducted on 300 hypertensive patients to assess the knowledge and awareness by a hypertension fact questionnaire. Medication adherence was assessed in the same group of patients by Hill–Bone scale—a uniform scale used worldwide. Results: Our study revealed a greater number of females with hypertension as compared to males and a maximum number of patients being in the age-group of 61–70 years and belonging to rural areas. Most of the patients had a secondary education as a highest educational qualification with only 10% of patients being postgraduates. A fair number of patients had a good knowledge and awareness about their disease, and most of the respondents accounted forgetfulness as a main reason for nonadherence to therapy over other reasons. Conclusion: Our population has good knowledge and awareness about their disease despite not having very good educational qualifications, and we need to strengthen our healthcare programs for even more greater dissemination of information.

Identification of neuropeptides and their G protein-coupled receptors in the predatory stink bug, Arma custos (Hemiptera: Pentatomidae).

The predatory stink bug Arma custos has been selected as an effective biological control agent and has been successfully massly bred and released into fields for the control of a diverse insect pests. As a zoophytophagous generalist, A. custos relies on a complex neuropeptide signaling system to prey on distinct food and adapt to different environments. However, information about neuropeptide signaling genes in A. custos has not been reported to date. In the present study, a total of 57 neuropeptide precursor transcripts and 41 potential neuropeptide G protein-coupled receptor (GPCR) transcripts were found mainly using our sequenced transcriptome data. Furthermore, a number of neuropeptides and their GPCR receptors that were enriched in guts and salivary glands of A. custos were identified, which might play critical roles in feeding and digestion. Our study provides basic information for an in-depth understanding of biological and ecological characteristics of the predatory bug and would aid in the development of better pest management strategies based on the effective utilization and protection of beneficial natural enemies.

[Association Between Dietary Diversity and Caregiver Self-Efficacy for Complementary Feeding Among Infants and Young Children Aged 6-23 Months in Rural Nanchong City,Sichuan Province].

Objective To analyze the current situation of dietary diversity and caregiver self-efficacy for complementary feeding among infants and young children aged 6 to 23 months in rural Nanchong city,Sichuan province,and to explore the relationship between dietary diversity and caregiver self-efficacy. Methods Multi-stage randomized cluster sampling method was used to select infants and young children aged 6 to 23 months and their caregivers in rural areas of Nanchong city,Sichuan province as the subjects.A structured questionnaire was designed to collect the basic information of the subjects,dietary diversity,and caregiver self-efficacy for complementary feeding.Multivariate Logistic regression was adopted to analyze the relationship between the dietary diversity and caregiver self-efficacy for complementary feeding of infants and young children. Results A total of 770 pairs of infants and young children and their caregivers were included.The minimum pass rate of dietary diversity was 61.56%(474/770) for all the infants and young children and 45.00%(108/240),69.16%(287/415),and 68.70%(79/115) for the infants and young children aged 6 to 11,12 to 17,and 18 to 23 months,respectively.The results of regression analysis showed that the caregiver self-efficacy of complementary feeding was a contributing factor for qualified dietary diversity of infants and young children in the case of other confounders being controlled(OR=1.42,95%CI=1.17-1.73,P<0.001). Conclusion The dietary diversity for infants and young children in rural Nanchong city,Sichuan province needs to be improved,and caregivers with higher self-efficacy of complementary feeding are more likely to provide diversified complementary feeding for infants and young children.

An updated checklist of the marine birds (Aves) of Golfo Dulce, southern Costa Rica

Golfo Dulce is a fjord-like embayment on the southern Paci&amp;#64257;c coast of Costa Rica, which encompasses the marine protected area of Piedras Blancas National Park. The gulf is surrounded by mangroves, rocky shores, and sandy beaches that are home to migratory and resident bird species. Here, we provide a checklist of 73 marine birds, including records of six years of annual counts and incidental observations in Golfo Dulce. This paper represents an updated bird list, based on the 1998 Basic Information Units from Instituto Nacional de Biodiversidad. We added 16 species to the list, showing the importance of maintaining a monitoring program of marine birds in the Golfo Dulce area. We have also demonstrated the valuable contributions of citizen science for obtaining scienti&amp;#64257;c information.