Interindividual distances and orientations of laying hens under 8 stocking densities measured by integrative deep learning techniques.

Interindividual distances and orientations of laying hens provide quantitative measures to calculate and optimize space allocations for bird flocks. However, these metrics were often measured manually and have not been examined for different stocking densities of laying hens. The objectives of this study were to 1) integrate and develop several deep learning techniques to detect interindividual distances and orientations of laying hens; and 2) examine the 2 metrics under 8 stocking densities via the developed techniques. Laying hens (Jingfen breed, a popular hen breed in China) at 35 wk of age were raised in experimental compartments at 8 different stocking densities of 3,840, 2,880, 2,304, 1,920, 1,646, 1,440, 1,280, and 1,152 cm2•bird-1 (3-10 hens per compartment, respectively), and cameras on the top of the compartments recorded videos for further analysis. The designed deep learning image classifier achieved over 99% accuracy to classify bird's perching status and excluded frames with bird perching to ensure that all birds analyzed were on the same horizontal plane, reducing calculation errors. The YOLOv5m oriented object detection model achieved over 90% precision, recall, and F1 score in detecting birds in compartments and can output bird centroid coordinates and angles, from which interindividual distances and orientations were calculated based on pairs of birds. Laying hens maintained smaller minimum interindividual distances in higher stocking densities. They were in an intersecting relationship with conspecifics for over 90% of the time. The developed integrative deep learning techniques and behavior metrics provide animal-based measurement of space requirement for laying hens.

Star map matching method for optical circular rotation imaging based on graph neural networks.

This paper focuses on a dynamic star image acquisition and matching method for space situational awareness, which can quickly search for widely distributed resident space objects. First, the optical circular rotation imaging method performed by a single space camera is proposed to obtain a series of star images. And then, the image matching method based on graph neural networks is proposed for generating a wide observation star image. Experiment results show that compared with baseline matching algorithms, the matching accuracy and matching precision of the proposed algorithm are improved significantly.

Saikosaponin D attenuates inflammatory response and cell apoptosis of lipopolysaccharide-induced lung epithelial cells.

BACKGROUND: Acute lung injury (ALI) is a prevalent complication of sepsis with high mortality rate. Saikosaponin D (SSD) is a triterpenoid saponin that has been reported to alleviate sepsis-triggered renal injury in mice. Nonetheless, the therapeutic effect of SSD on sepsis-evoked ALI is unclarified. METHODS: Lipopolysaccharide (LPS) from Escherichia coli 055:B5 was utilized to stimulate lung epithelial cell line MLE-12. A mouse model of sepsis was established. CCK-8 assay was employed for determining cytotoxicity. ELISA was utilized for determining proinflammatory cytokine production. Flow cytometry and western blotting were implemented for evaluating cell apoptosis. Hematoxylin-eosin staining was conducted for histologic analysis of murine lung tissues. RESULTS: SSD alleviated LPS-triggered inflammation and cell apoptosis of MLE-12 cells. SSD treatment ameliorated the pathological damages, inflammatory response, and cell apoptosis in the lungs of septic mice. CONCLUSION: SSD protects against sepsis-triggered ALI by inhibiting inflammation and cell apoptosis in MLE-12 cells and septic mouse mice.

Superhydrophobic Rotation-Chip for Computer-Vision Identification of Drug-Resistant Bacteria.

The transport, distribution, and mixing of microfluidics often require additional instruments, such as pumps and valves, which are not feasible when operated in point-of-care (POC) settings. Here, we present a simple microfluidic pathogen detection system known as Rotation-Chip that transfers the reagents between wells by manually rotating two concentric layers without using external instruments. The Rotation-Chip is fabricated by a simple computer numerical control (CNC) machining process and is capable of carrying out 60 multiplexed reactions with a simple 30 or 60° rotation. Leveraging superhydrophobic coating, a high fluid transport efficiency of 92.78% is achieved without observable leaking. Integrated with an intracellular fluorescence assay, an on-chip detection limit of 1.8 × 106 CFU/mL is achieved for ampicillin-resistant Escherichia coli (E. coli), which is similar to our off-chip results. We also develop a computer vision method to automatically distinguish positive and negative samples on the chip, showing 100% accuracy. Our Rotation-Chip is simple, low-cost, high-throughput, and can display test results with a single chip image, making it ideal for various multiplexing POC applications in resource-limited settings.

An End-to-End Steel Surface Classification Approach Based on EDCGAN and MobileNet V2.

In the production process of steel products, it is very important to find defects, which can not only reduce the failure rate of industrial production but also can reduce economic losses. All deep learning-based methods need many labeled samples for training. However, in the industrial field, there is a lack of sufficient training samples, especially in steel surface defects. It is almost impossible to collect enough samples that can be used for training. To solve this kind of problem, different from traditional data enhancement methods, this paper constructed a data enhancement model dependent on GAN, using our designed EDCGAN to generate abundant samples that can be used for training. Finally, we mixed different proportions of the generated samples with the original samples and tested them through the MobileNet V2 classification model. The test results showed that if we added the samples generated by EDCGAN to the original samples, the classification results would gradually improve. When the ratio reaches 80%, the overall classification result reaches the highest, achieving an accuracy rate of more than 99%. The experimental process proves the effectiveness of this method and can improve the quality of steel processing.

Molecular epidemiology and clinical characteristics of respiratory syncytial virus in hospitalized children during winter 2021-2022 in Bengbu, China.

Objective: This study aimed to study the molecular epidemiology and clinical characteristics of respiratory syncytial virus (RSV) infection from hospitalized children with ARTI in Bengbu. Methods: One hundred twenty-four nasopharyngeal swab specimens and clinical data from children with ARTI cases were collected in Bengbu, China, during winter 2021-2022. The samples were detected by qPCR of 13 respiratory viruses. Phylogenetic analysis was constructed using MEGA 7.0. All analyses were performed using SAS software, version 9.4. Results: In winter 2021-2022, URTI, NSCAP, SCAP, and bronchiolitis accounted for 41.03%, 27.35%, 17.09%, and 14.53% of hospitalized children in Bengbu, China. The detection rates of the top three were RSV (41.94%), ADV (5.65%), and FluB (5.65%) in hospitalized children through 13 virus detection. RSV is the main pathogen of hospitalized children under 2 years old. Forty-eight sequences of G protein of RSV were obtained through PCR amplification, including RSV-A 37 strains and RSV-B 11 strains. Phylogenetic analysis showed that all RSV-A and RSV-B were ON1 and BA9 genotypes, respectively. ON1 genotypes were further divided into two clades. The majority of ON1 strains formed a unique genetic clade with T113I, V131D, N178 G, and H258Q mutations. Furthermore, RSV infection was an independent risk factor for ventilator use (OR = 9.55, 95% CI 1.87-48.64). Conclusion: There was a high incidence of RSV among hospitalized children during winter 2021-2022 in Bengbu with ON1 and BA9 being the dominant strains. This study demonstrated the molecular epidemiological characteristics of RSV in children with respiratory infections in Bengbu, China.

Computer vision enabled funnel adapted sensing tube (FAST) for power-free and pipette-free nucleic acid detection.

A simple, portable, and low-cost microfluidic system-funnel adapted sensing tube (FAST) is developed as an integrated, power-free, and pipette-free biosensor for viral nucleic acids. This FAST chip consists of four reaction chambers separated by carbon fiber rods, and the reagents in each chamber are transferred and mixed by manually removing the rods. Rather than using electrical heaters, only a hand warmer pouch is used for an isothermal recombinase polymerase amplification (RPA) and CRISPR-Cas12a reaction. The signal produced by the RPA-CRISPR reaction is observed by the naked eye using an inexpensive flashlight as a light source. The FAST chip is fabricated using water-soluble polyvinyl alcohol (PVA) as a sacrificial core, which is simple and environmentally friendly. Using a SARS-CoV-2 fragment as a target, a ∼10 fM (6 × 103 copies per µL) detection limit is achieved. To generalize standard optical readout for individuals without training, a linear kernel algorithm is created, showing an accuracy of ∼100% for identifying both positive and negative samples in FAST. This power-free, pipette-free, disposable, and simple device will be a promising tool for nucleic acid diagnostics in either clinics or low-resource settings.

Berberine attenuates sepsis-induced cardiac dysfunction by upregulating the Akt/eNOS pathway in mice.

The present study aimed to investigate the cardioprotective role of berberine in sepsis-induced cardiac dysfunction and consider the underlying mechanisms. C57BL/6J mice were randomized into four groups, namely, Control, lipopolysaccharide (LPS), LPS + berberine and LPS + Nω-nitro-L-arginine methyl ester (L-NAME) + berberine. A single dose (10 mg/kg body weight) of LPS was intraperitoneally administered to mice to induce cardiac dysfunction, whereas the Control group was administered with an equivalent volume of saline. In the LPS + berberine and LPS + L-NAME + berberine group, berberine (10 mg/kg body weight) dissolved in hot water was intraperitoneally administered 30 min after the LPS treatment. In the LPS + L-NAME + berberine group, L-NAME (100 mg/kg body weight) dissolved in saline was intraperitoneally administered 30 min before the LPS treatment. Then, ~6 h after the LPS treatment, a significant decrease was observed in the left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS). Meanwhile, the plasma myocardial injury markers, inflammatory factors and oxidative stress levels were significantly increased in the LPS group compared with the Control group. The administration of berberine improved the ventricular function and decreased the plasma myocardial injury markers, inflammatory factors and oxidative stress levels. In addition, it increased the heart total nitric oxide synthase (NOS) activity and upregulated the protein expressions of p-Akt and phosphorylated endothelial (e)NOS, which indicated that the Akt/eNOS pathway was activated by berberine. However, the cardioprotective effects of berberine were counteracted by L-NAME, an NOS inhibitor, which inhibited the eNOS activity. In conclusion, berberine attenuated sepsis-induced cardiac dysfunction by upregulating the Akt/eNOS pathway in mice.

Simultaneous Direct Depth Estimation and Synthesis Stereo for Single Image Plant Root Reconstruction.

Plant roots are the main conduit to its interaction with the physical and biological environment. A 3D root system architecture can provide fundamental and applied knowledge of a plant's ability to thrive, but the construction of 3D structures for thin and complicated plant roots is challenging. Existing methods such as structure-from-motion and shape-from-silhouette require multiple images, as input, under a complicated optimization process, which is usually not convenient in fieldwork. Little effort has been put into investigating the applications of deep neural network methods to reconstruct thin objects, like plant root systems, from a single image. We propose an unsupervised learning scheme to estimate the root depth from only one image as input, which is further applied to reconstruct the complete root system. The boundaries of the reconstructed object usually contain large errors, which is a significant problem for roots with many thin branches. To reduce reconstruction errors, we integrate a cross-view GAN-based network into the reconstruction process, which predicts the root image from a different perspective. Based on the predicted view, we reconstruct the root system using stereo reconstruction, which helps to identify the accurately reconstructed points by enforcing their consistency. The results on both the real plant root dataset and the synthetic dataset demonstrate the effectiveness of the proposed algorithm compared with state-of-the-art single image 3D reconstruction models on plant roots.

Hyperspectral face recognition based on sparse spectral attention deep neural networks.

Inspired by the robust capability and outstanding performance of convolutional neural networks (CNN) in image classification tasks, CNN-based hyperspectral face recognition methods are worthy of further exploration. However, hyperspectral imaging poses new challenges including high data dimensionality and interference between bands on spectral dimension. High data dimensionality can result in high computational costs. Moreover, not all bands are equally informative and discriminative. The usage of a useless spectral band may even introduce noises and weaken the performance. For the sake of solving those problems, we proposed a novel CNN framework, which adopted a channel-wise attention mechanism and Lasso algorithm to select the optimal spectral bands. The framework is termed as the sparse spectral channel-wise attention-based network (SSCANet) where the SSCA-block focuses on the inter-band channel relationship. Different from other methods which usually select the useful bands manually or in a greedy fashion, SSCA-block can adaptively recalibrate spectral bands by selectively emphasizing informative bands and suppressing less useful ones. Especially, a Lasso constraint strategy can zero out the bands during the training of the network, which can boost the training process by making the weights of bands sparser. Finally, we evaluate the performance of the proposed method in comparison of other state-of-the-art hyperspectral face recognition algorithms on three public datasets HK-PolyU, CMU, and UWA. The experimental results demonstrate that SSCANet based method outperforms the state-of-the-art methods for face recognition on the benchmark.

The aberrant expressions of MACC1, ZEB1, and KLF4 in hepatocellular carcinoma and their clinical significance.

BACKGROUND AND OBJECTIVE: Metastasis-associated in colon cancer-1 (MACC1) is involved in the progression and metastasis of various cancers. Zinc finger E-box-binding homeobox 1 (ZEB1) is a key transcriptional factor of the epithelial-mesenchymal transition (EMT) that is involved in the migration and invasion of cancer cells. Kruppel-like factor 4 (KLF4) is a tumor suppressor that can inhibit tumor cell proliferation, migration, and metastasis. The purpose of this study was to investigate the expressions and clinical significance of MACC1, ZEB1, and KLF4 in hepatocellular carcinoma (HCC). METHODS: We analyzed the expressions of MACC1, ZEB1, and KLF4 in 153 HCC specimens and their corresponding control specimens. The patients' clinicopathological and follow-up data were also collected. RESULTS: The rates of positive expression of MACC1 and ZEB1 were significantly higher in the HCC specimens than in the control specimens, and their expressions were positively associated with the number of tumors, grades of differentiation, lymph node metastasis (LNM), and tumor-node-metastasis (TNM) stages. Inversely, the rate of positive expression of KLF4 was significantly lower in the HCC specimens than it was in the control specimens, and its expression was negatively correlated with the number of tumors, grades of differentiation, LNM, and TNM stages. The patients who expressed MACC1 or ZEB1 had a reduced overall survival (OS) when compared with patients not expressing these proteins. However, the patients who expressed KLF4 had an increased OS when compared with patients who did not show any KLF4 expression. A multivariate analysis indicated that the expressions of MACC1, ZEB1, and KLF4 and tumor size, LNM, as well as the TNM stages were independent, prognostic factors for HCC patients. CONCLUSIONS: Therefore, positive expressions of MACC1, ZEB1, and KLF4 should be correlated with the duration of OS in patients with HCC and considered promising prognostic biomarkers, as well as potential therapeutic targets for HCC.

Value of CagA, HER2, ALDH1, and KiSS-1 in predicting metastasis and prognosis for gastric adenocarcinoma.

BACKGROUND: Cytotoxin-associated gene A (CagA), is able to translocate into gastric epithelial cells. Human epidermal growth factor receptor 2 (also named as HER2, is a proto-oncogene which can encode a transmembrane receptor), Aldehyde dehydrogenase 1 (ALDH1, a biomarker of cancer stem cells), and KiSS-1 (a suppressor gene of cancer metastasis) are all valuably predictive biomarkers for various human cancers. The purpose of this study is to investigate the associations among CagA, HER2, ALDH1, and KiSS-1 in gastric adenocarcinoma (GAC), and their respective associations with clinical characteristics and survival in GAC. METHODS: The expression of CagA, HER2, ALDH1, and KiSS-1 in 232 cases of whole GAC tissues were detected by immunohistochemical staining. Patient clinical and survival data were also collected. RESULTS: Positive expression of CagA, HER2, and ALDH1 is significantly higher, and positive expression of KiSS-1 is significantly lower, in GAC tissues than in the corresponding normal tissues. Furthermore, the positive expression of CagA, HER2, ALDH1, and KiSS-1 were significantly associated with tumor grade, tumor stage, lymph node metastasis (LNM) stage, and tumor node metastasis (TNM) stages, and with patients' overall survival (OS); whereas the KiSS-1 positive group had longer OS than did the KiSS-1 negative group. In logistic analysis, positive expression of CagA, HER2, ALDH1, and KiSS-1 are significantly associated with LNM of patients with GAC. COX regression analysis indicated that positive expression of CagA, HER2, ALDH1, and KiSS-1, and tumor stages, LNM stages, and TNM stages were independent prognostic factors for patients with GAC. CONCLUSIONS: Expression of CagA, HER2, ALDH1, and KiSS-1 should be considered as promising biomarkers for metastasis and prognosis, as well as potential therapeutic targets for GAC.

Pharmacokinetic/Pharmacodynamic Analysis of Meropenem for the Treatment of Nosocomial Pneumonia in Intracerebral Hemorrhage Patients by Monte Carlo Simulation.

BACKGROUND: Nosocomial pneumonia (NP) is a frequent complication among patients with intracerebral hemorrhage (ICH). However, there are currently no pharmacokinetic (PK) and pharmacodynamic (PD) data to guide meropenem dosing in these patients. OBJECTIVE: To investigate the PK/PD properties of meropenem in these patients and whether the usual dosing regimens of meropenem (2-hour infusion, 1 g, every 8 hours) was suitable. METHODS: A total of 11 patients with a diagnosis of ICH complicated with NP were selected in the emergency internal medicine and treated with a 1-g/2-hours extended infusion model. The plasma concentrations of meropenem were determined by high-performance liquid chromatography. PK parameters were estimated by plasma concentration versus time profile using WinNonlin software. The probability of target attainments (PTAs) of meropenem at different minimum inhibitory concentrations (MICs) based on percentage time that concentrations were above the minimum inhibitory concentration (%T>MIC) value were performed by Monte Carlo simulation. RESULTS: The volume of distribution and total body clearance of meropenem were 55.55 L/kg and 22.89 L/h, respectively. Using 40%T>MIC, PTA was >90% at MICs ≤4 µg/mL. Using 80% or 100%T>MIC, PTA was >90% only at MICs ≤1 µg/mL. CONCLUSIONS: The PK/PD profile of dosing regimens tested will assist in selecting the appropriate meropenem regimens for these patients. At a target of 40%T>MIC, the usual dosing regimens can provide good coverage for pathogens with MICs of ≤4 µg/mL. However, when a higher target (80% or 100%) is desired for difficult-to-treat infections, larger doses, prolonged infusions, shorter intervals, and/or combination therapy may be required.

Antifreeze poisoning: A case report.

The current study reported the case of a 35-year-old male that presented with antifreeze poisoning. The clinical manifestations, laboratory investigations and treatments were analyzed, and the obtained results were compared with those in previous reports. Subsequent to consuming antifreeze, the patient mainly presented nausea and agitation, without disturbance of consciousness. Laboratory investigations indicated severe metabolic acidosis, renal dysfunction and hyperkalemia. The patient underwent hemodialysis and his condition was significantly improved on the day of admission. Renal function gradually deteriorated, but was eventually improved due to treatment, including hemodialysis, mannitol for catharsis, furosemide for diuresis, Xuebijing for the removal of blood stasis and detoxication, and reduced glutathione for the protection of major organs. The patient was discharged 1 month after hospital admission. In conclusion, the significance and clinical manifestations of antifreeze poisoning should be identified in clinical practice, and active hemodialysis should be provided. The aim of the current study was to summarize the clinical manifestations and treatments of patients with antifreeze poisoning, and to advance the recognition of antifreeze poisoning.

Expression of ORAOV1, CD133 and WWOX correlate with metastasis and prognosis in gastric adenocarcinoma.

BACKGROUND: Oral cancer overexpressed 1 (ORAOV1) which is a novel candidate oncogene is a useful biomarker of metastasis and prognosis in various cancers. CD133 which is a biomarker of cancer stem cells is overexpressed in many cancers and promotes cancer cells growth and metastasis. WW domain-containing oxidoreductase (WWOX) which is a suppressor gene of tumor can inhibit proliferation and promote apoptosis in various cancers. However, associations among ORAOV1, CD133, and WWOX and their clinicopathological significance in gastric adenocarcionma (GAC) are unclear. In this study, we analyzed associations among ORAOV1, CD133, and WWOX in GAC, and their respective associations with clinicopathological characteristics and survival in GAC. METHOD: Positive expression of ORAOV1, CD133, and WWOX in 236 whole GAC tissue samples were detected by immunohistochemistry staining. Patients' clinical data were also collected. RESULTS: Levels of ORAOV1 and CD133 were significantly higher, and levels of WWOX significantly lower, in GAC tissues than in normal gastric tissues. Levels of ORAOV1 and CD133 were positively associated with tumor grade, invasion of depth, lymph node metastasis (LNM), and tumor-node metastasis (TNM) stages, and inversely with patients overall survival time; levels of WWOX was negatively correlated with tumor grade, invasion of depth, LNM, and TNM stages, and the WWOX-positive subgroup had significantly longer overall survival time than did the WWOX-negative subgroup. In multivariate analysis, high expression of ORAOV1 and CD133, invasion of depth, and TNM stages, and low expression of WWOX were potential to be independent prognostic factors for overall survival time in patients with GAC. CONCLUSIONS: The expression of ORAOV1, CD133, and WWOX represent promising biomarkers for metastasis and prognosis, and potential therapeutic targets for GAC.

The expression of metastasis-associated in colon cancer-1 and KAI1 in gastric adenocarcinoma and their clinical significance.

BACKGROUND: The most common reason for malignant tumor treatment failure is recurrence and metastasis. Metastasis-associated in colon cancer-1 (MACC1) was originally identified as a metastatic and prognostic biomarker for colon cancer and later other solid tumors. Kangai 1 (KAI1), a marker of suppressor of metastasis, is also associated with metastasis and poor prognosis in many tumors. However, the prognostic value of either MACC1 or KAI1 in gastric adenocarcinoma (GAC) is unclear. In this study, we explored the relationship between MACC1 and KAI1 expression, as well as their respective correlation with clinicopathological features, to determine if either could be helpful for improvement of survival prognosis in GAC patients. METHODS: The expression levels of both MACC1 and KAI1 in 325 whole-tissue sections of GAC were examined by immunohistochemistry. Clinical data was also collected. RESULTS: MACC1 was significantly overexpressed in GAC tissues when compared to levels in normal gastric tissues; KAI1 was significantly down-expressed in GAC tissues when compared to levels in normal gastric tissues. Investigation of association between MACC1 and KAI1 protein levels with clinicopathological parameters of GAC indicated association between the expression of each with tumor grade, lymph node metastasis, invasive depth, and TNM stages. The overall survival time of patients with MACC1- or KAI1-positive GAC tumors was significantly shorter or longer than that of those who were negative. Importantly, multivariate analysis suggested that positive expression of either MACC1 or KAI1, as well as TNM stage, could be independent prognostic factors for overall survival in patients with GAC. CONCLUSIONS: MACC1 and KAI1 may represent promising metastatic and prognostic biomarkers, as well as potential therapeutic targets, for GAC.

[Expressions of CD133 and CD44 in gastric adenocarcinoma and their relationship with E-cadherin expression].

OBJECTIVE: To explore the expression of CD133 and CD44 in the primary gastric adenocarcinoma (GAC) and their relationship with the expression of E-cadherin. METHODS: The expressions of CD133, CD44, and E-cadherin was examined by immunohistochemistry in 145 specimens of GAC tissues and 30 specimens of normal gastric tissues. RESULTS: The positivity rates of CD133, CD44, and E-cadherin in normal gastric tissues were 10.0%, 0%, and 100%, respectively, showing significant differences from the rates in GAC tissues (46.9%, 47.6%, and 42.8%, respectively) (P<0.05). The expressions of CD133, CD44, and E-cadherin were significantly related with the tumor volume, differentiation, lymph node metastasis, invasive depth, pathologic-tumor-node-metastasis (pTNM) stages, and postoperative-survival time (all P<0.05); a positive correlation was found between the expression of CD133 and CD44, and they were both negatively correlated with E-cadherin expression (P<0.005). Kaplan-Meier analysis showed a significant difference in the survival rate between CD133-positive and CD133-negative patients (P<0.001) and between CD44-positive and CD44-negative patients; the patients with positive expression of E-cadherin had a significantly longer survival than those negative for E-cadherin. Cox regression analysis indicated that CD133, CD44, and E-cadherin expressions were all independent prognostic factors of GAC (all P<0.05). CONCLUSION: The expressions of CD133, CD44, and E-cadherin are related to the tumor volume, differentiation, pTNM stages, invasive depth, lymph node metastasis, and prognosis of GAC, and their combined detection can be of important value in predicting the prognosis of GAC.

Tissue engineering scaffold material of porous nanohydroxyapatite/polyamide 66.

The aim of the study was to investigate a porous nanohydroxyapatite/polyamide 66 (n-HA/PA66) scaffold material that was implanted into muscle and tibiae of 16 New Zealand white rabbits to evaluate the biocompatibility and osteogenesis and osteoinductivity of the materials in vivo. The samples were harvested at 2, 4, 12 and 26 weeks respectively, and subjected to histological analysis. At 2 weeks, the experiment showed that osteogenesis was detected in porous n-HA/PA66 composite and the density of new bone formation was similar to the surrounding host bone at 12 weeks. The study indicated that three-dimensional pore structures could facilitate cell adhesion, differentiation and proliferation, and help with fibrovascular and nerve colonization. In conclusion, porous n-HA/PA66 scaffold material could be a good candidate as a bone substitute material used in clinics due to its excellent histocompatibility, osteoconductivity and osteoinductivity.