Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method by Ruchin Gupta, Narendra Kumar, Sunil Kumar, Jitendra Kumar Seth

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Targeted analysis of dyslexia-associated regions on chromosomes 6, 12 and 15 in large multigenerational cohorts. by Nicola H Chapman, Patrick A Navas, Michael O Dorschner, Michele Mehaffey, Karen G Wigg, Kaitlyn M Price, Oxana Y Naumova, Elizabeth N Kerr, Sharon L Guger, Maureen W Lovett, Elena L Grigorenko, Virginia Berninger, Cathy L Barr, Ellen M Wijsman, Wendy H Raskind

“…Our findings from this large-scale sequencing study complement those from genome-wide association studies, argue against the causative involvement of large-effect coding variants in these five candidate genes, support a multigenic etiology, and suggest a role of transcriptional regulation.…”
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Miltefosine for the treatment of cutaneous leishmaniasis-A pilot study from Ethiopia. by Saskia van Henten, Annisa Befekadu Tesfaye, Seid Getahun Abdela, Feleke Tilahun, Helina Fikre, Jozefien Buyze, Mekibib Kassa, Lieselotte Cnops, Myrthe Pareyn, Rezika Mohammed, Florian Vogt, Ermias Diro, Johan van Griensven

“…Outcomes were documented for day 28, 90 and 180, both per site, and pooled, adjusting for site as a fixed effect with effect coding. Among 94 included patients (32 in Gondar, 62 in Boru Meda), median lesion duration was 12 months, median size six cm, and mucosal involvement (46.8%) and diffuse (30.9%) lesions were common. …”
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Whole Exome Sequencing in Atrial Fibrillation. by Steven A Lubitz, Jennifer A Brody, Nathan A Bihlmeyer, Carolina Roselli, Lu-Chen Weng, Ingrid E Christophersen, Alvaro Alonso, Eric Boerwinkle, Richard A Gibbs, Joshua C Bis, NHLBI GO Exome Sequencing Project, L Adrienne Cupples, Peter J Mohler, Deborah A Nickerson, Donna Muzny, Marco V Perez, Bruce M Psaty, Elsayed Z Soliman, Nona Sotoodehnia, Kathryn L Lunetta, Emelia J Benjamin, Susan R Heckbert, Dan E Arking, Patrick T Ellinor, Honghuang Lin

“…In conclusion, we did not observe associations between coding genetic variants and AF, suggesting that large-effect coding variation is not the predominant mechanism underlying AF. …”
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Association between dietary selenium intake and the prevalence of prediabetes in Newfoundland population: a cross-sectional study by Shanshan Yu, Hongwei Zhang, Jianling Du, Guang Sun

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Efficient Coding of the Embedded Signal in Steganographic Systems with Multiple Access by Kobozeva A.A., Kobozeva A.A.

“…This purpose was fulfilled by forming the theoretical basis for constructing effective codes de-signed to encode the embedded signal in steganographic systems with multiple access. …”
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Effects of intervention design on engagement and outcomes in digital self-help for insomnia – factorial RCT by Amira Hentati, Nils Hentati Isacsson, Ann Rosén, Susanna Jernelöv, Viktor Kaldo, Brjánn Ljótsson, Erik Forsell, Nils Lindefors, Martin Kraepelien

“…Statistical analyses included linear and multilevel regression. Factors were effect coded. Intervention design can enhance engagement and outcomes, requiring minimal clinician time. …”
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Detection and discrimination of modulation type at low modulation rates by A. P. SĘK

“…It seems that information about frequency changes at a low rate may be effectively coded in a time distribution of neural spikes.…”
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Identifying the Contexts of Social Participation in Sport for all in Iran: A Qualitative Study by Mohammad Javadipour, Hossein Zareiian, Ali Parsaju

“…First, through the initial studies, the introductory list of effective codes was identified. Purposive sampling method was used. …”
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Long-acting pre-exposure prophylaxis preferences among pregnant and postpartum women in Kenya: results from a discrete choice experimentAJOG Global Reports at a Glance by Tessa Concepcion, PhD, John Kinuthia, MMed, Felix A. Otieno, BS, Eunita Akim, BSN, Brian P. Flaherty, PhD, Laurén Gómez, MPH, Grace John-Stewart, PhD, Emmaculate M. Nzove, MBA, Nancy Ngumbau, MPH, Jerusha N. Mogaka, PhD, Ben Odhiambo, MPH, Anjuli D. Wagner, PhD, Salphine Watoyi, MPH, Jillian Pintye, PhD

“…Attributes included effectiveness, form and dosing, safety data, side effects, collection place, cost, and multipurpose prevention (postpartum only). We fit effects-coded choice data to a conditional logit model, latent class analysis (LCA) for preference heterogeneity, and univariate multinomial logistic regressions to predict class membership by individual characteristics. …”
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