Automatic Identification of Pangolin Behavior Using Deep Learning Based on Temporal Relative Attention Mechanism.

With declining populations in the wild, captive rescue and breeding have become one of the most important ways to protect pangolins from extinction. At present, the success rate of artificial breeding is low, due to the insufficient understanding of the breeding behavior characteristics of pangolins. The automatic recognition method based on machine vision not only monitors for 24 h but also reduces the stress response of pangolins. This paper aimed to establish a temporal relation and attention mechanism network (Pangolin breeding attention and transfer network, PBATn) to monitor and recognize pangolin behaviors, including breeding and daily behavior. There were 11,476 videos including breeding behavior and daily behavior that were divided into training, validation, and test sets. For the training set and validation set, the PBATn network model had an accuracy of 98.95% and 96.11%, and a loss function value of 0.1531 and 0.1852. The model is suitable for a 2.40 m × 2.20 m (length × width) pangolin cage area, with a nest box measuring 40 cm × 30 cm × 30 cm (length × width × height) positioned either on the left or right side inside the cage. A spherical night-vision monitoring camera was installed on the cage wall at a height of 2.50 m above the ground. For the test set, the mean Average Precision (mAP), average accuracy, average recall, average specificity, and average F1 score were found to be higher than SlowFast, X3D, TANet, TSN, etc., with values of 97.50%, 99.17%, 97.55%, 99.53%, and 97.48%, respectively. The recognition accuracies of PBATn were 94.00% and 98.50% for the chasing and mounting breeding behaviors, respectively. The results showed that PBATn outperformed the baseline methods in all aspects. This study shows that the deep learning system can accurately observe pangolin breeding behavior and it will be useful for analyzing the behavior of these animals.

Asymptomatic uterine perforation and IUD migration to the broad ligament: A case report.

RATIONALE: Uterine perforation is a serious complication of intrauterine contraceptive device (IUD) placement. However, as complete uterine perforation and extrauterine migration may remain asymptomatic, thorough localization of the IUD is important prior to reinsertion. PATIENT CONCERNS: A 33-year-old patient who has had 4 IUD insertions, wherein the location of the first IUD (inserted 14 years ago) was not identified prior to reinsertion and replacement of the subsequent three. She presented to hospital with a 6-month history of abdominal pain. Pelvic ultrasonography (US), radiography, hysteroscopy and laparoscopy examinations confirmed that a retained migrated IUD in the right broad ligament. DIAGNOSIS: Uterine perforation, IUD migration to the broad ligament. INTERVENTIONS: The patient underwent hysteroscopy and laparoscopy. OUTCOMES: Both IUDs were successfully removed without any complications.

Epithelioid leiomyosarcoma of the vulva: report of a rare case and literature review.

Leiomyosarcoma of the vulva is a rare soft tissue sarcoma that accounts for approximately 1% of all primary vulvar neoplasms, but it is the most common type of vulvar sarcoma. It usually originates from the smooth muscle within erectile tissue or blood vessel walls, the round ligament, the dartos muscle or the arrector pili muscle. No treatment algorithms have been established to date. Surgical resection is preferred for vulvar leiomyosarcoma. Currently, the recommended surgical method is extensive local resection with a safe surgical margin of at least 2 cm. The use of chemoradiotherapy for vulvar sarcoma remains controversial. This case report describes a 39-year-old female that underwent resection of a vulvar mass in January 2019. Postoperative pathological examination indicated that it was an epithelioid leiomyosarcoma. She presented with tumour recurrence after 43 days. Based on the diagnosis, radical right vulvectomy with a tumour margin of 2 cm was performed. The tumour margin was negative. The patient refused to undergo auxiliary radiotherapy and chemotherapy. The follow-up findings do not indicate any signs of recurrence. In order to avoid recurrence, vulvar epithelioid leiomyosarcomas should be completely resected with a margin of 2 cm at the time of first occurrence.

Conservative treatment of patients with bladder genital tract fistula: Three case reports.

INTRODUCTION: Most of the patients with bladder genital tract fistula recover with surgical treatment. In the present study, we aimed to assess conservative treatment strategies for bladder genital tract fistula. PATIENT CONCERNS: We reviewed 3 cases with bladder genital tract fistula who underwent treatment at our hospital from January to June 2017. Patient 1 underwent cesarean delivery, Patient 2 underwent total abdominal hysterectomy bilateral salpingo-oophorectomy (TAHBSO) and pelvic lymphadenectomy, and Patient 3 underwent extensive TAHBSO and pelvic lymphadenectomy. All 3 patients exhibited involuntary vaginal fluid outflow (average duration, 12.7 days; range, 7-21 days). DIAGNOSIS: Patient 1 was diagnosed as vesicouterine fistula by cystosonography and Patient 2, Patient 3 was diagnosed as vesicovaginal fistula by cystoscopy. INTERVENTIONS: All 3 patients underwent indwelling urinary catheterization. OUTCOMES: No vaginal fluid outflow could be observed after treatment of all 3 patients. CONCLUSION: Indwelling urinary catheterization should be administered for suitable patients as conservative treatment. If vesicouterine fistulas that are simple and have a diameter of <0.5 cm can be treated conservatively. If the condition does not resolve after 2 months, surgery should be considered.

Non-Contact Evaluation of Pigs' Body Temperature Incorporating Environmental Factors.

Internal body temperature is the gold standard for the fever of pigs, however non-contact infrared imaging technology (IRT) can only measure the skin temperature of regions of interest (ROI). Therefore, using IRT to detect the internal body temperature should be based on a correlation model between the ROI temperature and the internal temperature. When heat exchange between the ROI and the surroundings makes the ROI temperature more correlated with the environment, merely depending on the ROI to predict the internal temperature is unreliable. To ensure a high prediction accuracy, this paper investigated the influence of air temperature and humidity on ROI temperature, then built a prediction model incorporating them. The animal test includes 18 swine. IRT was employed to collect the temperatures of the backside, eye, vulva, and ear root ROIs; meanwhile, the air temperature and humidity were recorded. Body temperature prediction models incorporating environmental factors and the ROI temperature were constructed based on Back Propagate Neural Net (BPNN), Random Forest (RF), and Support Vector Regression (SVR). All three models yielded better results regarding the maximum error, minimum error, and mean square error (MSE) when the environmental factors were considered. When environmental factors were incorporated, SVR produced the best outcome, with the maximum error at 0.478 °C, the minimum error at 0.124 °C, and the MSE at 0.159 °C. The result demonstrated the accuracy and applicability of SVR as a prediction model of pigs' internal body temperature.

Unified Classification of Bacterial Colonies on Different Agar Media Based on Hyperspectral Imaging and Machine Learning.

A universal method by considering different types of culture media can enable convenient classification of bacterial species. The study combined hyperspectral technology and versatile chemometric algorithms to achieve the rapid and non-destructive classification of three kinds of bacterial colonies (Escherichia coli, Staphylococcus aureus and Salmonella) cultured on three kinds of agar media (Luria-Bertani agar (LA), plate count agar (PA) and tryptone soy agar (TSA)). Based on the extracted spectral data, partial least squares discriminant analysis (PLS-DA) and support vector machine (SVM) were employed to established classification models. The parameters of SVM models were optimized by comparing genetic algorithm (GA), particle swarm optimization (PSO) and grasshopper optimization algorithm (GOA). The best classification model was GOA-SVM, where the overall correct classification rates (OCCRs) for calibration and prediction of the full-wavelength GOA-SVM model were 99.45% and 98.82%, respectively, and the Kappa coefficient for prediction was 0.98. For further investigation, the CARS, SPA and GA wavelength selection methods were used to establish GOA-SVM simplified model, where CARS-GOA-SVM was optimal in model accuracy and stability with the corresponding OCCRs for calibration and prediction and the Kappa coefficients of 99.45%, 98.73% and 0.98, respectively. The above results demonstrated that it was feasible to classify bacterial colonies on different agar media and the unified model provided a continent and accurate way for bacterial classification.

miR-214-5p suppresses the proliferation, migration and invasion of trophoblast cells in pre-eclampsia by targeting jagged 1 to inhibit notch signaling pathway.

MicroRNA-214-5p has been reported to be expressed in placental tissue and suppressed the proliferation and invasion of various tumor cells. However, the role of miR-214-5p in pre-eclampsia has not been reported. We aimed to explore the effects of miR-214-5p in proliferation, migration, and invasion of placental trophoblast cells. RT-qPCR was used to quantify the miR-214-5p expression level in placental samples and four types of trophoblast cell lines. Cell proliferation was monitored by CCK-8 and Edu staining assays. Flow cytometry was used to determine the cell cycle. Wound healing and transwell assays were performed to measure the migratory and invasive capacities in JEG-3 and BEWO cells. In addition, we investigated whether miR-214-5p targeted Jagged 1 to regulate the Notch signaling pathway to affect trophoblast cells by luciferase assay and western blot. The expression of miR-214-5p was significantly increased in the placenta of patients with PE. Moreover, the proliferation, migration, and invasion of JEG-3 cells transfected with miR-214-5p mimic were inhibited. The results were reversed when BEWO cells were transfected with miR-214-5p inhibitor. The dual-luciferase assay demonstrated that miR-214-5p directly regulated Jagged 1. The expression of the proteins associated with the Notch signaling pathway, Jagged 1, Notch 1, HEY 1 and HES 1 were all decreased when Jagged 1 was negatively regulated by miR-214-5p. miR-214-5p directly down-regulated Jagged 1 expression, then suppressed proliferation, migration, and invasion of human placental trophoblast cells by inhibiting the Notch signaling pathway.

LncRNA TDRG1/miR-214-5p axis affects preeclampsia by modulating trophoblast cells.

Because of limited treatment options, preeclampsia (PE) is the leading cause of perinatal morbidity and mortality worldwide. Recently, lncRNA TDRG1 is reported to be aberrantly down-regulated in PE placenta, and the abnormal expression of TDRG1 might play a key or partial role in PE development. In this study, we found that TDRG1 was significantly down-regulated in PE placenta compared with the normal placenta. The cell proliferation, migration, invasion, and cell cycle were explored by CCK-8, wound-healing, transwell, and flow cytometer assay, respectively. Experimental results showed that TDRG1 accelerated the proliferation, migration, and invasion of trophoblast cells. Dual-luciferase reporter assays confirmed that TDRG1 could bind to miR-214-5p. Besides, knockdown of TDRG1 suppressed the cell proliferation, migration, and invasion, while knockdown of miR-214-5p reversed the effect. Jagged1 and Notch1 were negatively regulated by miR-214-5p while positively modulated by TDRG1. In conclusion, TDRG1 promoted trophoblast cells viability and invasion by negatively regulating miR-214-5p expression, contributing to a better understanding of PE pathogenesis and providing new light on TDRG1-directed diagnosis and treatment. SIGNIFICANCE OF THE STUDY: In this work, we observed that TDRG1 was able to promote cell proliferation, migration, and invasion cells by suppressing the expression of miR-214-5p and regulating the Notch signalling pathway in trophoblast cells. As far as we know, the effect of TDRG1/miR-214-5p axis on cell viability, migration, and invasion of trophoblast cells was firstly introduced. Our findings provided a better understanding of the mechanism of PE. Moreover, it is reasonable to believe that TDRG1 may be employed as a strategy to treat PE in the future.

Strumal carcinoid tumor of the ovary: A rare case report.

RATIONALE: Strumal carcinoid tumor of the ovary (SCTO) is a very rare kind of ovarian tumor. The symptoms of SCTO are often nonspecific and misleading. Therefore, a full understanding of the characteristics, diagnosis, and treatment methods of SCTO is important. PATIENT CONCERNS: In this study, we report a 63-year-old woman with SCTO whose most obvious symptoms were abdominal distention and weight loss of 5 kg for about 1 month. DIAGNOSIS: Her carbohydrate antigen 125 (CA125) levels were higher than normal. Gynecologic sonography showed an 8.8 × 7.5 cm mass with mixed density and an irregular shape behind the uterus. Pathologic and immunohistologic examinations confirmed SCTO of the right ovary. INTERVENTIONS: The patient underwent complete surgical resection of the whole uterus, bilateral ovaries, and fallopian tubes. OUTCOMES: The patient recovered well with no obvious complications and was discharged on the 10th day postsurgery. LESSONS: Complete surgical resection is vital to treat SCTO. Postsurgical pathologic and immunohistologic examinations can confirm a diagnosis of SCTO.

Low-dose methotrexate-induced vulvar edema: A case report.

RATIONALE: Methotrexate (MTX) is an antimetabolite of folic acid, which is used for management of ectopic pregnancy. MTX-related toxicity may include cutaneous mucosal damage, bone marrow suppression, gastrointestinal disorders (gastritis, diarrhea, hematitis), liver and kidney function damage, pulmonary toxicity, cardiac toxicity, and nerve toxicity. However, it is not usual for vulvar edema induced by low-dose methotrexate. PATIENT CONCERNS: In this case report, we described a patient with severe vulvar edema and oral cavity ulceration and scalp ulceration induced by low-dose MTX treatment for ectopic pregnancy. Her presenting complaints were pain in the vulva, oral cavity, and scalp. DIAGNOSES: The patient was diagnosed based on clinical findings for MTX toxic reactions. INTERVENTIONS: Vulva was disinfectioned with iodide and Kangfuxin solution, her mouth was rinsed with mouthwash. Three compound glycyrrhizin tablets were orally administered (3 times/day). After 10 days, the broken skin and mucous membrane healed. OUTCOMES: The vulvar edema and oral cavity ulceration and scalp ulceration healed. LESSONS: Our study demonstrated that even low-dose MTX can be induced skin and mucosal injury, patients and doctors should timely detection of drug toxicity reactions, immediately rescue, prompt discontinuation of medication, and symptomatic treatment to avoid accidental occurrence.

Establishment of validated models for non-invasive prediction of rectal temperature of sows using infrared thermography and chemometrics.

Rectal temperature is an important physiological indicator used to characterize the reproductive and health status of sows. Infrared thermography, a surface temperature measurement technology, was investigated in this study to explore its feasibility in non-invasive detection of rectal temperature in sows. A total of 124 records of rectal temperature and surface temperature in various body regions of 99 Landrace × Yorkshire crossbred sows were collected. These surface temperatures together with ambient temperature, ambient humidity, and wind speed in pig pens were correlated with the real rectal temperature of sows to establish rectal temperature prediction models by introducing chemometrics algorithms. Two types of models, i.e., full feature models and selected feature models, were established by applying the partial least squares regression (PLSR) method. The optimal model was attained when 7 important features were selected by LARS-Lasso, where correlation coefficients and root mean squared errors of calibration were 0.80 and 0.30 °C, respectively. Particularly, the validity and stability of established simplified models were further evaluated by applying the model to an independent prediction set, where correlation coefficients and root mean squared errors for prediction were 0.80 and 0.35 °C, respectively. The validation of established models is scarce in previous similar studies. Above all, this study demonstrated that introduction of chemometrics methodologies would lead to more reliable and accurate model for predicting sow rectal temperature, thus the potential for ensuring animal welfare in a broader view if extended to more applications.

Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared (Vis-NIR) hyperspectral imaging.

Different multivariate data analysis methods were investigated and compared to optimize rapid and non-destructive quantitative detection of beef adulteration with spoiled beef based on visible near-infrared hyperspectral imaging. Four multivariate statistical analysis methods including partial least squares regression (PLSR), support vector machine (SVM), least squares support vector machine (LS-SVM) and extreme learning machine (ELM) were carried out in developing full wavelength models. Good prediction was obtained by applying LS-SVM in the spectral range of 496-1000 nm with coefficients of determination (R2) of 0.94 and 0.94 as well as root-mean-squared errors (RMSEs) of 5.39% and 6.29% for calibration and prediction, respectively. To reduce the high dimensionality of hyperspectral data and to establish simplified models, a novel method named invasive weed optimization (IWO) was developed to select key wavelengths and it was compared with competitive adaptive reweighted sampling (CARS) and genetic algorithm (GA). Among the four multivariate analysis models based on important wavelengths determined by IWO, the LS-SVM simplified model performed best where R2 of 0.97 and 0.95 as well as RMSEs of 4.74% and 5.67% were attained for calibration and prediction, respectively. The optimum simplified model was applied to hyperspectral images in pixel-wise to visualize the distribution of spoiled beef adulterant in fresh minced beef. The current study demonstrated that it was feasible to use Vis-NIR hyperspectral imaging to detect homologous adulterant in beef.

A case report on Herlyn-Werner-Wunderlich syndrome with spontaneous abortion.

INTRODUCTION: Herlyn-Werner-Wunderlich syndrome (HWWS) is a rare congenital abnormality of the urogenital tract characterized by uterus didelphys, obstructed hemivagina, and ipsilateral renal agenesis. It is usually diagnosed after menarche, with a clinical presentation of dysmenorrhea, recurrent abdominal pain, and irregular menses. However, it is rare to diagnose it during pregnancy, subsequently resulting in spontaneous abortion. CASE PRESENTATION: A 22-year-old Chinese woman with HWWS whose left uterine pregnancy underwent spontaneous abortion presented with a right perforated obstructed hemivagina and right renal agenesis. The right vaginal septum was resected and the hematocolpos was drained, thereby relieving lower abdominal pain and preserving future fertility. CONCLUSION: Co-presentation of unilateral renal agenesis and uterus didelphys should encourage clinicians to rule out HWWS. Early diagnosis and subsequent treatment can avoid possible serious complications.

Vesical transmigration of an intrauterine contraceptive device: A rare case report and literature review.

RATIONALE: Displacement of an intrauterine contraceptive device (IUD) is a rare and serious complication of IUD insertion. Theoretically, it can migrate to anywhere in the pelvic and abdominal cavity. However, it is not usual for an IUD to migrate to the bladder. PATIENT CONCERNS: In this case report, we reported a patient with chronic urinary symptoms caused by the migration of an IUD into the bladder. The displacement of the IUD led to contraception failure and IUD retention in the bladder for 5 years. DIAGNOSES: Pelvic ultrasonography (US), radiography, and cystoscopy examinations confirmed the migration of IUD in bladder. INTERVENTIONS: The patient underwent cystoscopy. OUTCOMES: The MCu IUD was successfully removed without any complications. LESSONS: Our study demonstrated that a missing IUD should be followed up and removed early to avoid possible serious complications.

[Real-time Gait Training System with Embedded Functional Electrical Stimulation].

To solve the problem that mostly gait analysis is independent from the treatment, this work proposes a system that integrates the functions of gait training and assessment for foot drop treatment. The system uses a set of sensors to collect gait parameters and designes multi-mode functional electrical stimulators as actuator. Body area network technology is introduced to coordinate the data communication and execution of the sensors and stimulators, synchronize the gait analysis and foot drop treatment. Bluetooth 4.0 is applied to low the power consumption of the system. The system realizes the synchronization of treatment and gait analysis. It is able to acquire and analyze the dynamic parameters of ankle, knee and hip in real-time, and treat patients by guiding functional electrical stimulation delivery to the specific body locations of patients.

A framework design for the mHealth system for self-management promotion.

Mobile health (mHealth) technology has been proposed to alleviate the lack of sufficient medical resources for personal healthcare. However, usage difficulties and compliance issues relating to this technology restrict the effect of mHealth system-supported self-management. In this study, an mHealth framework is introduced to overcome these drawbacks and improve the outcome of self-management. We implemented a set of ease of use principles in the mHealth design and employed the quantitative Fogg Behavior Model to enhance users' execution ability. The framework was realized in a prototype design for the mHealth system, which consists of medical apparatuses, mobile applications and a health management server. The system is able to monitor the physiological status in an unconstrained manner with simplified operations, while supervising the healthcare plan. The results suggest that the present framework design is accessible for ordinary users and effective in improving users' execution ability in self-management.

Integration of user centered design in the development of health monitoring system for elderly.

This paper presents a health monitoring system by incorporating the approach of user centered design (UCD) for enhancing system usability for the elderly. The system is designed for monitoring cardiovascular diseases (CVD) related physiological signals including electrocardiogram (ECG), pulse wave (PW) and body weight (BW). Ease of use and non-obtrusiveness are two key requirements for design criteria. Our health monitoring system is designed on three levels: personal medical device layer, mobile application layer and remote central service layer. A chair-based apparatus was built for physiological signal acquisition and a mobile application was developed for data delivery and health management. Finally, usability evaluation was conducted and the system efficiency was quantitatively analyzed by system usability scale (SUS). The results demonstrate that the performance of the system is acceptable for the elderly and the UCD principle is helpful for health system design.