Abstract: A failure prediction system includes: a processor, the processor being configured to: collect torque values of a drive axis of a robot that is operating in accordance with a given work program; derive an evaluation formula approximating a time change of the torque value which is most recent from among the collected torque values set a failure threshold that is the torque value at which it is determined that failure of the drive axis occurs, based on the evaluation formula and the time change of the torque value when the drive axis reached failure in the past; and calculate an estimated value for the torque value when a prediction time set in advance has elapsed in the evaluation formula, and determines whether failure of the drive axis is predicted within the prediction time according to comparison between the estimated value and the failure threshold.

Abstract: A combination including (1) a molecule including the nucleotide sequence of SEQ ID NO: 1 and (2) an anticancer agent; and a method for treating a cancer, including administering an effective amount of the combination to a subject in need thereof. The anticancer agent may be an inhibitor of a BcL2 family molecule. The inhibitor of a BcL2 family molecule may be an expression inhibitor of the BcL2 family molecule or a function inhibitor of the BcL2 family molecule.

Abstract: An RNAi molecule for cancer treatment, including the nucleotide sequence of SEQ ID NO: 1 in an antisense strand; and a method for treating a cancer, including administering an effective amount of the RNAi molecule to a subject in need thereof. The antisense strand includes the nucleotide sequence selected from SEQ ID NOs: 11-30.

Abstract: Provided is a metastasis suppressing agent containing a HSP47 inhibitor.

Abstract: Provided is a medicine containing a HSP47 inhibitor to increase sensitivity of a cancer patient to a chemotherapeutic agent.

Abstract: Provided is a machining equipment system including machining equipment that performs machining of a workpiece; a control device that controls the machining equipment on the basis of a machining condition; a state obtaining device that obtains a state of the machining equipment during the machining; an inspection device that inspects the workpiece after the machining; and a machine learning device that performs machine learning on the basis of a result of inspection by the inspection device and the state of the machining equipment, obtained by the state obtaining device, wherein the machine learning device modifies the machining condition on the basis of a result of the machine learning so as to improve the machining accuracy of the workpiece or so as to minimize the defect rate of the workpiece.

Abstract: A failure prediction system according to an aspect of the present disclosure includes: a torque value collection unit which collects torque values of a drive axis of a robot that is operating in accordance with a given work program; an evaluation formula derivation unit which derives an evaluation formula approximating a time change of the torque value which is most recent from among the torque values collected by the torque value collection unit; a threshold setting unit which sets a failure threshold that is the torque value at which it is determined that failure of the drive axis occurs, based on the evaluation formula and the time change of the torque value when the drive axis reached failure in the past; and a prediction determination unit which calculates an estimated value for the torque value when a prediction time set in advance has elapsed in the evaluation formula, and determines whether failure of the drive axis is predicted within the prediction time according to comparison between the estimated

Abstract: Provided is a machining equipment system including machining equipment that performs machining of a workpiece; a control device that controls the machining equipment on the basis of a machining condition; a state obtaining device that obtains a state of the machining equipment during the machining; an inspection device that inspects the workpiece after the machining; and a machine learning device that performs machine learning on the basis of a result of inspection by the inspection device and the state of the machining equipment, obtained by the state obtaining device, wherein the machine learning device modifies the machining condition on the basis of a result of the machine learning so as to improve the machining accuracy of the workpiece or so as to minimize the defect rate of the workpiece.

Abstract: A robot simulation device includes a robot-information acquiring unit that performs communication with control units of a plurality of robots included in a robot system and acquires hardware information and software information on the plurality of robots, a change determining unit that determines, on the basis of the acquired software information, whether an operation program is changed, and an evaluating unit that, when the change determining unit determines that the operation program is changed, performs a simulation of operations of the plurality of robots using the hardware information and the software information acquired by the robot-information acquiring unit and evaluates the operation program.

Abstract: A robot program modification system comprises a robot control apparatus and a program modification apparatus. The robot control apparatus has an information acquisition unit which executes an operation program and acquires robot detection information from a robot, and a communication unit which transmits the robot detection information to the program modification apparatus. The program modification apparatus has a simulation unit which performs simulation on the basis of the operation program, and a program modification unit which modifies the operation program on the basis of the robot detection information so that a result of the simulation satisfies an evaluation basis decided in advance.

Abstract: A robot program modification system comprises a robot control apparatus and a program modification apparatus. The robot control apparatus has an information acquisition unit which executes an operation program and acquires robot detection information from a robot, and a communication unit which transmits the robot detection information to the program modification apparatus. The program modification apparatus has a simulation unit which performs simulation on the basis of the operation program, and a program modification unit which modifies the operation program on the basis of the robot detection information so that a result of the simulation satisfies an evaluation basis decided in advance.

Abstract: A method which, in attaching a stiffening ring (3b), a lock ring (11), and a stop ring (15) to the outer surfaces of steel pipes, corrects peaking which occurs in the pipe joint and these rings; a method which, in attaching a joint ring (2) to the inner surface of a steel pipe, correct speaking which occurs in the joint ring (2), a method of producing a stiffening ring (3a) utilized in the above-mentioned joint; a construction for a packing (6) used in the joint; a method of laying steel pipes having the joint; and a seal surface construction for the joint. According to the pipe joint thus produced, manufacture of pipe joints in a factory can be unmanned and the field operation can be simplified.

Abstract: A ferrite carrier for electrophotographic developers which is represented by formula:(MnO).sub.x (MgO).sub.y (Fe.sub.2 O.sub.3).sub.zwherein x+y+z=100 mol %, and part of MnO, MgO and/or Fe.sub.2 O.sub.3 is substituted with SnO.sub.2, and has a saturation magnetization of 20 to 43 emu/g.

Abstract: This invention provides a ferrite carrier for an electrophotographic developer characterized in that a core material is ferrite particle composed of 17.0 to 29.0 mol % of Li.sub.2 O and 71.0 to 83.0 mol % of Fe.sub.2 O.sub.3, exhibits a resistance of 2.5.times.10.sup.8 to 2.5.times.10.sup.9 .OMEGA. when a voltage of 250 V is applied, satisfies the relationship: a.sub.1 -a.sub.2 .ltoreq.1.5 when the resistance (R.sub.1) of the ferrite particle exhibited when a voltage of 250 V is applied thereto is taken as a.sub.1 .times.10.sup.b .OMEGA. and the resistance (R.sub.2) thereof exhibited when a voltage of 1000 V is applied thereto is taken as a.sub.2 .times.10.sup.b .OMEGA. (with the proviso that 1.0.ltoreq.a.sub.1 <10, 0.1.ltoreq.a.sub.2, and b is an integer of 6 to 9), and the carrier prepared by coating the ferrite particle with a resin exhibits a resistance of 1.0.times.10.sup.9 to 1.0.times.10.sup.15 .OMEGA. when a voltage 250 V is applied thereto, and has a true specific gravity of 4.70 or below.

Abstract: A pipe joint structure is disclosed. An inscribing joint pipe 2 is fixed to an inner peripheral surface at an end portion of a first pipe 1a, while being projected slightly outwardly from the axial end of the pipe 1a. A stopper ring 15 is fixed onto the outer peripheral surface of the pipe 1a at a location slightly spaced from the axial end thereof. An annular engaging notch 11 is formed in the outer peripheral surface near the stopper ring or an annular engaging ring 11' is inserted around the end portion of the pipe 1a and fixed near the stopper ring. A circumscribing reinforcing pipe 3a, 3b are fixed to an outer peripheral surface at an end portion of the other pipe 1b to be joined to the pipe 1a, while being projected slightly outwardly from the axial end of the pipe 1b.

Abstract: A lining laminate for lining line pipes to be connected to each other comprises a woven fabric impregnated with a liquid plasticizer, a pressure sensitive adhesive layer and a lining tube. This lining laminate is adhered to inner peripheral surfaces of connected line pipes, and further a pressure sensitive adhesive is filled in an annular space produced in an expansion joint portion for connecting line pipes to each other.