In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Example Input: We describe a Multiplex Primer Prediction (MPP) algorithm to build multiplex compatible primer sets to amplify all members of large, diverse and unalignable sets of target sequences. The MPP algorithm is scalable to larger target sets than other available software, and it does not require a multiple sequence alignment. We applied it to questions in viral detection, and demonstrated that there are no universally conserved priming sequences among viruses and that it could require an unfeasibly large number of primers ($3700 18-mers or $2000 10-mers) to generate amplicons from all sequenced viruses. We then designed primer sets separately for each viral family, and for several diverse species such as foot-and-mouth disease virus (FMDV), hemagglutinin (HA) and neuraminidase (NA) segments of influenza A virus, Norwalk virus, and HIV-1. We empirically demonstrated the application of the software with a multiplex set of 16 short (10 nt) primers designed to amplify the Poxviridae family to produce a specific amplicon from vaccinia virus.
Example Output: Multiplex primer prediction software for divergent targets

Example Input: Background-The complement system is activated in liver diseases including acute liver failure (ALF); however, the role of the lectin pathway of complement has scarcely been investigated in ALF. The pathway is initiated by soluble pattern recognition molecules: mannan-binding lectin (MBL), M-, L-and H-ficolin and collectin-liver-1 (CL-L1), which are predominantly synthesised in the liver. Methods-Serum samples from 75 patients enrolled by the U.S. ALF Study Group were collected on days 1 and 3. We included 75 healthy blood donors and 20 cirrhosis patients as controls. Analyses were performed using sandwich-type immunoassays (ELISA, TRIFMA). Results-At day 1, the MBL level in ALF patients was 40% lower compared with healthy controls ((median(interquartile range) 0.72 μg/ml(0.91) vs. 1.15(1.92)(p=0.02)), and increased significantly by day 3 (0.83 μg/ml(0.94)(p=0.01)). The M-ficolin level was 60% lower (0.54 μg/ ml(0.50) vs. 1.48(1.01)(p<0.0001)). The CL-L1 level at day 1 was slightly higher compared with healthy controls (3.20 μg/ml(2.37) vs. 2.64(0.72)(p=0.11)); this was significant at day 3 (3.35(1.84)(p=0.006)). H-and L-ficolin levels were similar to healthy controls. Spontaneous ALF survivors had higher levels of MBL at day 1 (0.96 μg/ml(1.15) vs. 0.60(0.60)(p=0.02)) and lower levels of L-ficolin by day 3 compared with patients who died or were transplanted (1.61 μg/ ml(1.19) vs. 2.17(2.19)(p=0.02)).
Example Output: Circulating mannan-binding lectin, M-, L-, H-ficolin, and collectin-liver-1 levels in patients with acute liver failure

Example Input: In this chapter, the biosensing as a key element of nanotechnology and commanding a wide range of applications is discussed, e.g., fast and efficient clinical diagnostics, health care, security, environmental monitoring, etc. The operation and sensing mechanism of BioFETs and ion-sensitive FETs are elaborated on a molecular level, based upon the molecular recognition between target and probe molecules and the input gate voltage and output ON current of the conventional FETs. In particular, the extended roles of the gate electrode of BioFETs as the probing surface are highlighted, in comparison with the conventional gate electrode, together with the physical and biological processes for detecting target molecules. Moreover, the bottom-up syntheses of vertical and horizontal nanowires are presented and the ensuing nanowires are characterized. Also, the top-down and bottom-up approaches for processing nanowires are compared by taking as criteria the process complexity and quality of the nanowires produced. Finally, the future prospects of bio-sensing are presented. Abbreviation Light-emitting diode UV Ultraviolet IR Infrared NEP Noise-equivalent power SWCNT Single-walled carbon nanotube FET Field effect transistor CVD
Example Output:
Nanowire BioFETs: An Overview Chemical vapor deposition SAED Selected-area-electron diffraction