Abstract: The present application is a multifunctional fitness device. The device includes a support mechanism and a chassis mechanism. The support mechanism is rotatably connected to the chassis mechanism. When the support mechanism rotates and is fixed to a first position on the chassis mechanism, a first angle is formed between the support mechanism and the chassis mechanism, such that the device is in a running mode. When the support mechanism rotates and is fixed to a second position on the chassis mechanism, a second angle is formed between the support mechanism and the chassis mechanism, such that the device is in an abdominal workout mode. When the support mechanism rotates and is fixed to a third position on the chassis mechanism, a third angle is formed between the support mechanism and the chassis mechanism, such that the device is in a rowing mode.

Abstract: Provided is a vehicle integrated control method used for a vehicle integrated control system, wherein the vehicle integrated control system at least can comprise an integration module and a plurality of control modules, and the integration module is provided inside a vehicle. The method comprises: in response to a target operation performed by a user on the integration module, determining a target control instruction corresponding to the target operation; determining a target control module corresponding to the target control instruction, the target control module being at least one of the plurality of control modules; and activating the target control module to cause the target control module to control the enabling or disabling of a corresponding function on the basis of attribute information of internal and external environments of the vehicle. Also disclosed are a vehicle integrated control apparatus, a device, and a storage medium.

Abstract: We have developed a novel AKI diagnostic algorithm upon KID 2009 database. The KID is multi-featured and the AKI and non-AKI groups are highly imbalanced, making it challenging to describe them via simple linear statistics. Thus, to identify features effectively, our AKI association studies employed statistical learning strategies; a predictive model was created to accurately determine which KID data elements were highly associated with an AKI diagnosis. We employed prediction analysis of microarrays (PAM), which is commonly applied to high-feature datasets such as DNA microarrays; PAM determines which data elements, or features, best contribute to the predictive model or characterize individual classes/cohorts, Clinical Classification Software codes (286 diagnosis, 231 procedural) were used to bin ICD-9-CM codes (n=6,722) and analyzed by PAM. PAM identified relevant AKI predictors and eliminated irrelevant data elements, which constitute noise.

Abstract: Biomarkers and biomarker panels are provided for making ovarian cancer assessments, for example, diagnosing an ovarian cancer, predicting responsiveness of an ovarian cancer to an ovarian cancer therapy, and monitoring an ovarian cancer. A patient may further be treated in accordance with the classification. Also provided are methods, reagents, devices and kits for the use of these biomarkers in making ovarian cancer assessments.

Abstract: Preeclampsia peptide biomarkers are provided. Also provided are methods for using these biomarkers, including in prognosing or diagnosing preeclampsia in a pregnant individual by detecting these biomarkers in a sample from the pregnant individual. Reagents, devices and kits thereof that find use in practicing the subject methods are also provided.

Abstract: Methods for diagnosis of Kawasaki disease (KD) are disclosed. In particular, the invention relates to the use of biomarkers for aiding diagnosis, prognosis, and treatment of KD, and to a panel of biomarkers that can be used to distinguish KD from febrile illness.

Abstract: Methods and compositions for providing a preterm birth prognosis for a pregnant individual, monitoring a pregnant individual for increased risked of preterm birth, or making a treatment decision for a pregnant individual predicting preterm birth are provided. Aspects include selecting the appropriate ITIH4 preterm peptide biomarker to detect to make a preterm birth prediction. These methods and compositions find use in providing a preterm birth prognosis for a pregnant individual.

Abstract: Methods and compositions are provided for making a necrotizing enterocolitis (NEC) or sepsis assessment of an individual. Aspects of the methods include detecting a biomarker or panel of biomarkers selected from MMP7, EpCAM, and CRP. In addition, reagents, devices, systems and kits thereof that find use in practicing the subject methods are provided.

Abstract: Preeclampsia markers, preeclampsia marker panels, and methods for obtaining a preeclampsia marker level representation for a sample are provided. These compositions and methods find use in a number of applications, including, for example, diagnosing preeclampsia, prognosing a preeclampsia, monitoring a subject with preeclampsia, and determining a treatment for preeclampsia. In addition, systems, devices and kits thereof that find use in practicing the subject methods are provided.

Abstract: Aspects of the invention include methods, compositions, and kits for diagnosing Necrotizing Enterocolitis (NEC), for diagnosing sepsis, for providing a prognosis for a patient with NEC, and for predicting responsiveness of a patient with NEC to medical intervention. These methods find use in a number of applications, such as diagnosing and treating infants who are suspected of having NEC, intestinal perforation (IP), or sepsis.

Abstract: Methods for diagnosis of Kawasaki disease (KD) are disclosed. In particular, the invention relates to the use of biomarkers for aiding diagnosis, prognosis, and treatment of KD, and more specifically to biomarkers that can be used to distinguish KD from other inflammatory diseases, including infectious illness and acute febrile illness.

Abstract: Methods for diagnosis of systemic juvenile idiopathic arthritis (SJIA) are disclosed. In particular, the invention relates to the use of biomarkers for diagnosis of SJIA, which can be used to distinguish SJIA from other inflammatory diseases, including infectious illness, acute febrile illness, Kawasaki disease, and similar juvenile idiopathic arthritis (JIA) disease subtypes, and to predict inflammatory flares in SJIA patients in advance of clinical symptoms.

Abstract: Methods are provided for determining a transplant category of a subject having a kidney graft. In practicing one aspect of the subject methods, the peptide signature of a non-invasive sample derived from the transplant subject (e.g., a urine sample) is used to determine the subject's transplant category (e.g., acute allograft rejection (AR), stable allograft (STA), BK virus nephropathy (BK), and the like). In other embodiments, a gene expression signature from a biopsy sample from the subject (e.g., mRNA level) is used to determine the subject's transplant category. In certain embodiments both a peptide signature and a gene expression signature are used. Also provided are compositions, systems, kits and computer program products that find use in practicing the subject methods.

Abstract: Methods are provided for classification of cancer based on analysis of serologic biomarkers.