Downregulation of the Unfolded Protein Response Links Metformin Treatment to Good Clinical Outcomes in Colorectal Cancer Patients by Mary L. Fay, Chris Nicol, Christine Orr, Brooke Wilson, David Hurlbut, Harriet Feilotter, Scott Davey

“…A supervised learning algorithm pinpointed molecular features that discriminate between metformin-treated and diet-controlled diabetic CRC samples, as well as those that discriminated between non-diabetic samples based on their five-year overall survival status. …”
Get full text

Predictive model using systemic inflammation markers to assess neoadjuvant chemotherapy efficacy in breast cancer by Yulu Sun, Yinan Guan, Hao Yu, Yin Zhang, Jinqiu Tao, Weijie Zhang, Yongzhong Yao

“…A predictive model for pCR was constructed using machine learning algorithms.ResultsAmong the 209 breast cancer patients, 29 achieved pCR. …”
Get full text

Load Reconstruction Technique Using D-Optimal Design and Markov Parameters by Deepak K. Gupta, Anoop K. Dhingra

“…Inverse Markov parameters are computed from the forward Markov parameters using a linear prediction algorithm and have the roles of input and output reversed. …”
Get full text

Exploring the association between circadian rhythms and osteoporosis: new diagnostic and therapeutic targets identified via machine learning by Jian Du, Jian Du, Tian Zhou, Ran Meng, Wei Zhang, Jin Zhou, Wei Peng

“…Increasing evidence suggests that circadian rhythms play an important role in OP, yet the specific mechanisms remain unclear. …”
Get full text

Public-type MFOs as an element of financial system by А. N. Pyshkin

“…The aim of the paper is to define the role of the public-type MFOs, including the problems of their accounting, identification and supervision as an independent element of the MFOs market. …”
Get full text

Сlinical features of changes in the microcirculation system among children with allergic rhinitis, depending on the severity of dysfunction of the autonomic nervous system by N. S. Tataurschikova, P. V. Berezhansky

“…Microcirculatory mechanisms are of great pathogenetic significance in the development of allergic inflammation, including in AR.Depending on the leading pathognomonic trait, it is now customary to distinguish individual phenotypes and endotypes of AR.The phenotype covers the clinically significant properties of AR, but does not reveal the detailed mechanisms of its development, on the basis of which a personalized algorithm for prevention, treatment and prognosis can be created.And the autonomic nervous system is responsible for setting links between the body, ambient and internal environment through the regulation of metabolism, functioning of organs and tissues based on changes in this environment; it also provides the integration of all organs into a single whole acting as one of the main body’s adaptive systems.Since the autonomic nervous system governs the body and homeostasis uniting separate pathogenetic links of disease progression and sets the basis for structural and functional unity. …”
Get full text

A CFD-informed barn-level swine disease dissemination model and its use for ventilation optimization by Maryam Safari, Christian Fleming, Jason A. Galvis, Aniruddha Deka, Felipe Sanchez, Gustavo Machado, Chi-An Yeh

“…The airborne spread of infectious livestock diseases plays a crucial role in the propagation of epidemics, particularly in populations confined to densely populated facilities, such as commercial swine barns. …”
Get full text

Tidal tail identification and detailed analysis of the open star cluster King 13 using Gaia DR3 and 2MASS by Nasser M. Ahmed, Mohamed S. Darwish

“…These probabilities are calculated based on the number of stars deduced from the King model. …”
Get full text

Identifikasi Dini Curah Hujan Berpotensi Banjir Menggunakan Algoritma Long Short-Term Memory (Lstm) Dan Isolation Forest by Ahmad Wijayanto, Aris Sugiharto, Rukun Santoso

“…The Isolation Forest algorithm is then used to automatically identify rainfall with flood potential. …”
Get full text

Simultaneous determination of 7 thiols associated proteins in lymphoma patients’serum and cerebrospinal fluid by UHPLC-HRMS technique by Qingkun Ma, Mei Zhang, Yongshuai Fan, Han Zhao, Kun Wang, Xiaojing Wang, Yanling Mu

“…Furthermore, a novel PCNSL monitoring model was developed based on different those combined with machine learning algorithm. …”
Get full text

Identification of glycolysis-related molecular subtypes and prognostic model in intrahepatic cholangiocarcinoma by Yue Wang, Pengxiang Wang, Hui Liu, Haokang Feng, Muzi Cao, Zefan Zhang, Keqiang Rao, Jia Fan, Xiutao Fu, Yunfan Sun

“…Glycolysis plays a critical role in tumorigenesis, progression, and drug resistance across various malignancies, while the therapeutic implications of targeting glycolysis remain underexplored. …”
Get full text

Penentuan Filterbank Wavelet Menggunakan Algoritma Mean Best Basis untuk Ekstraksi Ciri Sinyal Suara Ber-Noise by Abdurahim Abdurahim, Syahroni Hidayat

“…Abstract Recently wavelet-based filterbanks as feature start extractors have been widely developed to replace the role of the Mel Frequency Cepstral Coefficient (MFCC) feature in automatic speech recognition systems. …”
Get full text

Analisis Metode Estimasi Biaya pada Perangkat Lunak Beserta Faktor-Faktor yang Mempengaruhi : A Systematic Literature Review by Amelia Devi Putri Ariyanto, Lutfiyatul ‘Azizah, Umi Laili Yuhana

“…Besides, this study also succeeded in finding the best method and combination of methods based on best accuracy, namely COCOMO II and the combination of Genetic Algorithm and Artificial Bee Colony, along with the five main factors that influence cost estimation so that it can be used by researchers or other practitioners to develop cost estimates for software projects. …”
Get full text

Deep neural networks excel in COVID-19 disease severity prediction—a meta-regression analysis by Márton Rakovics, Fanni Adél Meznerics, Péter Fehérvári, Tamás Kói, Dezső Csupor, András Bánvölgyi, Gabriella Anna Rapszky, Marie Anne Engh, Péter Hegyi, Andrea Harnos

“…We identified both the relevant confounding factors of tool performance using the MetaForest algorithm and the best tools—comparing linear, machine learning, and deep learning methods—with mixed-effects meta-regression models. …”
Get full text

Accurate GRACE terrestrial water storage estimations via a new fusion method by Min Dai, Hao Zhou, Wenjing Ma, Shuyun Zheng, Mingyang Xia, Yaozong Li, Zhicai Luo

“…The Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On missions hold a pivotal role in exploring global mass change and migration. …”
Get full text

INTERGENIC INTERACTIONS OF TUMOR NECROSIS FACTOR ALPHA, INTERLEUKIN 17, AND OSTEOPROTEGERIN IN THE IMMUNOPATHOGENESIS OF RHEUMATOID ARTHRITIS IN THE RUSSIAN POPULATION OF THE CHELY... by Yulia Chumacheva, Daria Stashkevich, Tatiana Suslova, Daria Shmelkova, Aleksandra Burmistrova

“…To analyse the data we applied the multifactor dimensionality reduction (MDR) algorithm, which constructs predictive case–control models and evaluates their robustness through ten-fold cross-validation and permutation testing.The algorithm identified three most informative combinations comprising four to six SNPs each; every combination showed statistical significance and high predictive accuracy. …”
Get full text

Harun Farocki's Asignifying Images by Claudio Celis Bueno

“…This revived interest responds largely to the rise and consolidation of new technologies of power based on algorithmic control and Big Data analysis. …”
Get full text

Rancang Bangun Purwarupa Pemilah Sampah Pintar Berbasis Deep Learning by Kahlil Muchtar, Nyak Twoman Anshari, Chairuman Chairuman, Khalid Alhabibie, Khairul Munadi

“…The plastic waste in Indonesia reaches 1.3 million tons. Based on the amount of waste in Indonesia, it can be seen that the role of recycling is big in saving the environment. …”
Get full text

Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…In the second stage, again, for more precise identification and evaluation of the criteria by completing 20 questionnaires by other experts, each of the above items was evaluated and weighted based on the best-worst method and then confirmed in the analytical model algorithm. …”
Get full text

CcpA-mediated regulation of cellular energy metabolism in the ruminal bacterium Streptococcus bovis by Yunan Weng, Yaqian Jin, Wenze Zhang, Lihong Wang, Hongrong Wang

“…KEGG prediction indicated that the abundance and enrichment of metabolites were primarily involved in carbon metabolism, amino acid metabolism, and nucleotide metabolomics. Based on the random forest algorithm, glutamine and UDP-GlcNac were identified as biomarkers under varying glucose conditions and in the presence or absence of ccpA. …”
Get full text