Estimating risk factor time paths among people with Type 2 Diabetes and QALY gains from risk factor management by Gao, N, Dakin, HA, Holman, RR, Lim, L-L, Leal, J, Clarke, P

“…</p> <br> <p><strong>Methods:</strong> Using pooled contemporary data from two randomised trials EXSCEL and TECOS (n = 28,608), we estimated: dynamic panel models of seven continuous risk factors (high-density lipoprotein cholesterol, low density lipoprotein cholesterol, HbA1c, haemoglobin, heart rate, blood pressure and body mass index); two-step models of estimated glomerular filtration rate; and survival analyses of peripheral arterial disease, atrial fibrillation and albuminuria. …”

Factor models with many assets: Strong factors, weak factors, and the two-pass procedure by Anatolyev, Stanislav, Mikusheva, Anna

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Factored similarity models with social trust for top-N item recommendation by Guo, Guibing, Zhang, Jie, Zhu, Feida, Wang, Xingwei

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800 nW 43 nV/[radical]Hz neural recording amplifier with enhanced noise efficiency factor by Liu, L., Zou, X., Goh, Wang Ling, Rajkumar, Ramamoorthy, Dawe, Gavin, Je, Minkyu

“…The measured thermal noise floor is 43nV/ p Hz and the input-referred noise is 5.71 mVrms when integrated from 1 Hz to 50 kHz, leading to an NEF of 2.59. …”
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On the largest prime factor of quartic polynomial values: the cyclic and dihedral cases by Dartyge, C, Maynard, J

“…We prove that there exists a constant <em>c</em>_<em>P</em> &gt; 0 such that for a positive proportion of integers <em>n</em>, <em>P</em>(<em>n</em>) has a prime factor ≥ <em>n</em>^{1+<em>c</em>_<em>P</em>}.…”

Contribution of hypoxia-inducible factor 1alpha to pathogenesis of sarcomeric hypertrophic cardiomyopathy by Raj Murthi, S, Petry, A, Shashikadze, B, Stöckl, JB, Schmid, M, Santamaria, G, Klingel, K, Kračun, D, Chen, X, Bauer, S, Schmitt, JP, Flenkenthaler, F, Gorham, J, Toepfer, CN, Potěšil, D, Hruška, P, Zdráhal, Z, Mayer, Z, Klop, M, Lehmann, L, Qin, Y, Papanakli, L, Spielmann, N, Moretti, A

“…Hypoxia-inducible transcription factor-1α (Hif-1α) is the central master regulators of cellular hypoxia response and associated with HCM. …”

Ghost factors in Gauss-sum factorization with transmon qubits by Zaw, Lin Htoo, Tan, Paul Yuanzheng, Nguyen, Long Hoang, Budoyo, Rangga P., Park, Kun Hee, Koh, Zhi Yang, Landra, Alessandro, Hufnagel, Christoph, Yap, Yung Szen, Koh, Teck Seng, Dumke, Rainer

“…We investigate Type II ghost factors, which are the class of ghost factors that cannot be suppressed with techniques previously laid out in the literature. …”
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Factor-√2 Acceleration of Accelerated Gradient Methods by Park, Chanwoo, Park, Jisun, Ryu, Ernest K.

“…Abstract The optimized gradient method (OGM) provides a factor- $$\sqrt{2}$$ 2 speedup upon Nesterov’s celebrated accelerated gradient method in the convex (but non-strongly convex) setup. …”
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Factor- $$\sqrt{2}$$ 2 Acceleration of Accelerated Gradient Methods by Park, Chanwoo, Park, Jisun, Ryu, Ernest K.

“…Abstract The optimized gradient method (OGM) provides a factor- $$\sqrt{2}$$ 2 speedup upon Nesterov’s celebrated accelerated gradient method in the convex (but non-strongly convex) setup. …”
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A role for RE‐1‐silencing transcription factor in embryonic stem cells cardiac lineage specification by Aksoy, I, Marcy, G, Chen, J, Divakar, U, Kumar, V, John-Sanchez, D, Rahmani, M, Buckley, N, Stanton, LW

“…During development, lineage specification is controlled by several signaling pathways involving various transcription factors (TFs). Here, we studied the RE‐1‐silencing transcription factor (REST) and identified an important role of this TF in cardiac differentiation. …”

Altmetrics : factor analysis for assessing the popularity of research articles on Twitter by Pandian, Nandhini Devi Soundara, Veeramachaneni, Bhargavi, Na, Jin-Cheon, Boothaladinni, Rashmi Vishwanath

“…This paper studies a variety of factors that affect the popularity of articles (i.e., the number of article mentions) in the field of psychology on Twitter. …”
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MultiDCoX: Multi-factor analysis of differential co-expression by Liany, Herty, Rajapakse, Jagath Chandana, Karuturi, R. Krishna Murthy

“…No algorithm or methodology is available for multi-factor analysis of differential co-expression. Results: We developed a novel formulation and a computationally efficient greedy search algorithm called MultiDCoX to perform multi-factor differential co-expression analysis. …”
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Severe malarial thrombocytopenia : a risk factor for mortality in Papua, Indonesia by Lampah, Daniel A., Yeo, Tsin W., Malloy, Michael, Kenangalem, Enny, Douglas, Nicholas M., Ronaldo, Donny, Sugiarto, Paulus, Simpson, Julie A., Poespoprodjo, Jeanne Rini, Anstey, Nicholas M., Price, Ric N.

“…In total, 1.3% of patients (2701 of 215 479) died. Patients with severe malarial anemia alone (hemoglobin level, <5 g/dL) had an adjusted OR for death of 4.93 (95% CI, 3.79–6.42), those with severe malarial thrombocytopenia alone had an adjusted OR of 2.77 (95% CI, 2.20–3.48), and those with both risk factors had an adjusted OR of 13.76 (95% CI, 10.22–18.54; P < .001). …”
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The human factor in the multimedia environment by Volker Illert

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Factors influencing macrophage phagocytosis and killing of Gram negative bacteria by Kurzyp, K

“…</p> <p>My findings provide novel tools and insights into factors involved in the interaction of <em>N. gonorrhoeae</em> and <em>E. coli</em> with macrophages, and suggest how macrophage receptors could be exploited to enhance bacterial killing for immune adjuvant therapy of infection.…”

Factors Influencing Students Being Deceived in Pyramid Scheme in Malaysia by Mustaffa, Hawa Nur Sai’dah, Ishak, Nor Syahidah

“…Therefore, this study intended to measure the factor that might affect the involvement of students being duped in pyramid schemes, including the ambitious, desire to try, surrounding society, family background, and deceived by advertising. …”
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Cardiovascular risk factors in childhood and adulthood and cardiovascular disease in Middle Age by Kartiosuo, N, Raitakari, OT, Juonala, M, Viikari, JSA, Sinaiko, AR, Venn, AJ, Jacobs, DR, Urbina, EM, Woo, JG, Steinberger, J, Bazzano, LA, Daniels, SR, Magnussen, CG, Rahimi, K, Dwyer, T

“…<p><strong> Objective </p></strong> To quantify direct and indirect effects of childhood risk factors on adult CVD via adulthood risk factors using mediation analysis, and to quantify their relative importance during different life-course stages using a life-course approach. …”

The 52-week high, q-theory, and the cross section of stock returns by George, Thomas J., Hwang, Chuan-Yang, Li, Yuan

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Modifiable risk factor score and fecundability in a preconception cohort in Singapore by Loy, See Ling, Ku, Chee Wai, Tiong, Michelle Mei Ying, Ng, Carissa Shi Tong, Cheung, Yin Bun, Godfrey, Keith M., Lim, Shan Xuan, Colega, Marjorelee T., Lai, Jun Shi, Chong, Yap-Seng, Shek, Lynette Pei-Chi, Tan, Kok Hian, Chan, Shiao-Yng, Chong, Mary Foong-Fong, Yap, Fabian, Chan, Jerry Kok Yen

“…Although multiple modifiable risk factors have been identified for reduced fecundability (defined as lower probability of conception within a menstrual cycle), no scoring system has been established to systematically evaluate fecundability among females who are attempting to conceive.…”
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Quantifying of morphological character for Kacang goat using principal component factor analysis by Lestari, D. A., Sutopo, S., Kurnianto, E., Dagong, M. I. A., Bugiwati, S.R.A., Mamat-Hamidi, K., Yakubu, A., Pandupuspitasari, N. S., Agusetyaningsih, I., Kamila, F. T.

“…PC 1 accounts for just 0.45% of the overall variation in ewes, whereas PC 2 accounts for 0.24%. …”
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