ObjectiveIn nature, objects cast shadows due to illumination, forming the basis for stereoscopic perception. Birds need to adapt to changes in lighting (meaning they can recognize stereoscopic shapes even when shadows look different) to accurately perceive different three-dimensional forms. However, how neurons in the key visual brain area in birds handle these lighting changes remains largely unreported. In this study, pigeons (Columba livia) were used as subjects to investigate how neurons in pigeon’s ventrolateral mesopallium (MVL) represent stereoscopic shapes consistently, regardless of changes in lighting. MethodsVisual cognitive training combined with neuronal recording was employed. Pigeons were first trained to discriminate different stereoscopic shapes (concave/convex). We then tested whether and how light luminance angle and surface appearance of the stereoscopic shapes affect their recognition accuracy, and further verify whether the results rely on specify luminance color. Simultaneously, neuronal firing activity of neurons was recorded with multiple electrode array implanted from the MVL during the presentation of difference shapes. The response was finally analyzed how selectively they responded to different stereoscopic shapes and whether their selectivity was affected by the changes of luminance condition (like lighting angle) or surface look. Support vector machine (SVM) models were trained on neuronal population responses recorded under one condition (light luminance angle of 45°) and used to decode responses under other conditions (light luminance angle of 135°, 225°, 315°) to verify the invariance of responses to different luminance conditions. ResultsBehavioral results from 6 pigeons consistently showed that the pigeons could reliably identify the core 3D shape (over 80% accuracy), and this ability wasn’t affected by changes in light angle or surface appearance. Statistical analysis of 88 recorded neurons from 6 pigeons revealed that 83% (73/88) showed strong selectivity for specific 3D shapes (selectivity index>0.3), and responses to convex shapes were consistently stronger than to concave shapes. These shape-selective responses remained stable across changes in light angle and surface appearance. Neural patterns were consistent under both blue and orange lighting. The decoding accuracy achieves above 70%, suggesting stable responses under different conditions (e.g., different lighting angles or surface appearance). ConclusionNeurons in the pigeon MVL maintain a consistent neural encoding pattern for different stereoscopic shapes, unaffected by illumination or surface appearance. This ensures stable object recognition by pigeons in changing visual environments. Our findings provide new physiological evidence for understanding how birds achieve stable perception (“invariant neural representations”) while coping with variations in the visual field.

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

Objective:To investigate the accuracy of next-generation sequencing technology(NGS)in detecting the polymorphisms of HLA-DRB1,DQB1,DQA1,DRB3,DRB4,DRB5,DPA1 and DPB1 alleles in randomly-selected unrelated healthy individuals from Shenzhen Han population,investigate the potential reason for HLA-DRB1 allele dropout in routine NGS,and establish an internal quality control system.Methods:NGS-based HLA class Ⅱ genotyping was performed on 1 012 samples using the MiSeqDxTM platform.The suspected missed alleles indicated by the quality control software and HLA-DRB1 homozygotes were confirmed by PCR-SSOP or PCR-SBT methods.Results:A total of 139 alleles were detected,including HLA-DRB1(45),DRB3(7),DRB4(5),DRB5(7),DQA1(17),DQB1(21),DPA1(10)and DPB1(27).HLA-DRB 1*09:01(17.09％),15:01(10.72％);DRB3*02:02(25.99％),03:01(10.18％);DRB4*01:03(36.46％);DRB5*01:01(15.42％);DQA1*01:02(20.01％),03:02(17.19％);DQB1*03:01(19.47％),03:03(17.98％),05:02(11.66％),06:01(10.67％);DPA1*02:02(54.45％),01:03(31.18％)and DPB1*05:01(39.13％),02:01(16.90％)alleles were the most common alleles in Shenzhen Han population(frequencies＞10％).There was no statistical difference between the gene frequencies of HLA-DRB1 and DQB1 loci in our study.The HLA Common and Well-Documented Alleles in China(CWD2.4)(x2=12.68,P＞0.05).94 cases of HLA-DRB1 homozygous samples detected by NGS were retested by PCR-SSOP or SBT method,and one case of allele dropout at HLA-DRB1 locus was found.SBT method confirmed that the allele of DRB1*04:03 was missed.The laboratory internal quality control system was established.Two cases of new alleles were detected and named by WHO Nomenclature Committee for Factors of the HLA System.Conclusion:The HLA genotyping results based on NGS showed a significantly lower ambiguity rate.The HLA class Ⅱ alleles exhibit genetic polymorphism in the Han population of unrelated healthy individuals in Shenzhen.The independent method based on NGS in clinical histocompatibility testing has limitations and requires internal quality control strategies to avoid allele-dropout events.

Objective:Empirical analysis of the multiple driving paths of service capabilities of home-and community-based integrated health and social care in China,for providing useful reference for promoting the system improvement.Methods:Based on the World Health Organization's Integrated Care for Older People(ICOPE)implementation framework,an analysis framework for service capabilities of home-and community-based integrated health and social care was constructed.39 districts(counties)in Wuxi,Jiaozuo,Changsha,Chengdu,and Chongqing were included.The fuzzy-set qualitative comparative analysis(fsQCA)method was used to analyze the configuration paths of high or non-high-level service capabilities of home-and community-based integrated health and social care.Results:The service capabilities of home-and community-based integrated health and social care is improved by the configuration of various factors.Four path configurations might contribute to the development of service capabilities of home-and community-based integrated health and social care,and three path configurations might hinder the development.Institutional support,financing mechanism and the demand level of regional aging population are the key factors.Conclusions:Service capabilities of home-and community-based integrated health and social care are affected by the interaction and interrelation between multiple factors.Strategies should be jointly implemented from different aspects to improve service capabilities.

Objective:To explore the differential impact of the alignment between service capability and job satisfaction on job performance among primary general practitioner,and to provide a reference for enhancing their job performance.Methods:A survey was conducted with 620 primary general practitioner using questionnaires.The relationships among service capability,job satisfaction,and job performance were analyzed using polynomial regression and response surface analysis methods.Results:Under the condition of"service capability—job satisfaction alignment,"compared to the scenario of"low service capability—low job satisfaction,"primary general practitioner with"high service capability—high job satisfaction"demonstrated significantly higher job performance(a1=0.875,P＜0.001;a2=-0.068,P＞0.05).In the misalignment condition,compared to"low service capability—high job satisfaction,"those with"high service capability—low job satisfaction"also showed higher job performance(a3=0.265,P＜0.001;a4=-0.064,P＞0.05).Conclusion:Both service capability and job satisfaction significantly influence job performance among primary general practitioner,with service capability being a key factor for achieving high work performance.It is essential to enhance the service capability of primary general practitioner and adopt multiple strategies to improve job satisfaction,thereby effectively boosting work performance.

Exploring the action targets (groups) of traditional Chinese medicine (TCM) is an important proposition to promote the innovation and development of TCM, but it has attracted a lot of attention as to whether it is related to the efficacy or the disease. Our team found that the metabolomic signature molecules in the development of diabetes mellitus (DM) were significantly associated with the clinical efficacy of Yuquan Pill through a large clinical sample study. Taking this as a clue, our team intends to expand the information on the omics features of DM development, and discover the key targets (groups) and their lead compounds for the hypoglycemic effect of Yuquan Pill. The project includes: ① Based on the retrospective clinical trials, using omics technology integrated with generative artificial intelligence, mining the characteristic information of proteome and microbiome, forming driving factors together with metabolome characteristic molecules, and characterizing the molecular trajectories of diabetes evolution and their interference by Yuquan Pill; ② Taking the evolving molecular trajectories as a link and pointer, using anthropomorphic modeling and molecular biology techniques such as chemical proteomics to discover the key targets (groups) of Yuquan Pill's hypoglycemic effect, with the prospective clinical samples for validation; ③ Evaluate the overall response of key targets (groups) using graph neural network technology, and search for drug-derived/endogenous lead compounds with proven clinical pathologies and clear mechanisms of action, so as to provide a new paradigm and technology for the discovery of complex active ingredient targets (groups) of TCM that are related to their clinical efficacy, as well as for the discovery of innovative medicines.

Objective:To compare clinical characteristics,treatment patterns and physiological indicators in bipolar disorder(BD)patients with different age of onset.Methods:Totally 380 patients with DSM-5 BD were se-lected in this study.Psychiatrists diagnosed the patients using the Mini International Neuropsychiatric Interview.The clinical information questionnaire and the Global Assessment of Functioning scale were utilized to collected clinical characteristics,treatment status,and physiological indicators.The onset age of BD was divided into 21 and 35 years as cut-off points.Multivariate logistic regression and linear regression were used to analyze related factors.Results:Among the 380 patients with BD,199 cases were early-onset group(52.4％),121 cases were middle-onset group(31.8％),and 60 cases were late-onset group(15.8％).There were 26.6％of patients in the early-onset group in-itially diagnosed as depression,23.1％in the middle-onset group,and 11.7％in the late-onset group.Multivariate analysis revealed that compared to the early-onset group of BD,the middle-onset(OR=2.22)and late-onset(OR=4.99)groups had more risk to experience depressive episodes,and the late-onset group(OR=6.74)had 6.74 times of risk to suffer from bipolar Ⅱ disorder.Additionally,patients in the middle-onset(β=-1.52)and late-on-set(β=-4.29)groups had shorter durations of delayed treatment,and those in the middle-onset(β=-1.62)and late-onset(β=-3.14)groups had fewer hospitalizations.Uric acid levels were lower in both the middle-onset(β=-28.39)and late-onset(β=-31.47)groups,and total cholesterol level was lower in the middle-onset group(β=-0.23).Conclusion:Patients with BD in different age of onset show significant differences in clinical charac-teristics,treatment conditions and physiological indicators.

177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

Objective:To predict the 3-year cancer-specific survival(CSS)of patients with non-meta-static T3a renal cell carcinoma after surgery.Methods:A total of 336 patients with pathologically con-firmed T3a N0-1M0 renal cell carcinoma(RCC)who underwent surgical treatment at the Department of Urology,Peking University Third Hospital from March 2013 to February 2021 were retrospectively collect-ed.The patients were randomly divided into a training cohort of 268 cases and an internal validation co-hort of 68 cases at an 4∶1 ratio.Using two-way Lasso regression,variables were selected to construct a nomogram for predicting the 3-year cancer-specific survival(CSS)of the patients with T3aN0-1M0 RCC.Performance assessment of the nomogram included evaluation of discrimination and calibration ability,as well as clinical utility using measures such as the concordance index(C-index),time-dependent area un-der the receiver operating characteristic curve[time-dependent area under the curve(AUC)],calibra-tion curve,and decision curve analysis(DCA).Risk stratification was determined based on the nomo-gram scores,and Kaplan-Meier survival analysis and Log-rank tests were employed to compare progres-sion-free survival(PFS)and cancer-specific survival(CSS)among the patients in the different risk groups.Results:Based on the Lasso regression screening results,the nomogram was constructed with five variables:tumor maximum diameter,histological grading,sarcomatoid differentiation,T3a feature,and lymph node metastasis.The baseline data of the training and validation sets showed no statistical differences(P＞0.05).The consistency indices of the column diagram were found to be 0.808(0.708-0.907)and 0.903(0.838-0.969)for the training and internal validation sets,respectively.The AUC values for 3-year cancer-specific survival were 0.843(0.725-0.961)and 0.923(0.844-1.002)for the two sets.Calibration curves of both sets demonstrated a high level of consistency between the actual CSS and predicted probability.The decision curve analysis(DCA)curves indicated that the column dia-gram had a favorable net benefit in clinical practice.A total of 336 patients were included in the study,with 35 cancer-specific deaths and 69 postoperative recurrences.According to the line chart,the patients were divided into low-risk group(scoring 0-117)and high-risk group(scoring 119-284).Within the low-risk group,there were 16 tumor-specific deaths out of 282 cases and 36 postoperative recurrences out of 282 cases.In the high-risk group,there were 19 tumor-specific deaths out of 54 cases and 33 post-operative recurrences out of 54 cases.There were significant differences in progression-free survival(PFS)and cancer-specific survival(CSS)between the low-risk and high-risk groups(P＜0.000 1).Conclusion:A nomogram model predicting the 3-year CSS of non-metastatic T3a renal cell carcinoma patients was successfully constructed and validated in this study.This nomogram can assist clinicians in accurately assessing the long-term prognosis of such patients.