Soil management in Lepidium meyenii (maca) monoculture: trends and challenges for small farmers around Lake Chinchaycocha in the Andean highlands of Junin (Peru) by Richard Solórzano-Acosta, Mirella Chanco, Martín Seminario, Rita Cabello-Torres, Vladimir Camel, Sphyros Lastra, Alberto Arias, Patricia Verástegui, Kenyi Quispe, Carlos Carbajal-Llosa, Juan Pablo Cuevas, Juancarlos Cruz, Cecilia Turín

“…The effect on soil quality was evaluated based on principal component analysis (PCA), weighted soil quality index (SQIw), and physico-chemical characteristics.ResultsThe results indicated differences between farmers in agronomic management, monoculture period (from 5 to 9 years), and fallow time (up to 10 years in the best cases). …”
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Identification of Adulterated Deer Blood Crystals in Traditional Chinese Medicine Based on MALDI-TOF MS Peptide Fingerprints Technique by Shen-xing WANG, Ling CAO, Qing HUANG, Cong-yu MA, Jian-bin PAN, Hao-dong ZHAO, Hai-wei SHI, Bin DI, Hong-yuan CHEN

“…These fingerprints were then combined with principal component analysis (PCA) in order to achieve rapid and accurate differentiation of blood crystals from different sources. …”
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Morpho-cultural, pathogenic, and genetic characterization of Indian isolates of Macrophomina phaseolina causing charcoal rot in soybean by Laxman Singh Rajput, Sanjeev Kumar, Kriti Pathak, Palak Acharya, Divyanshu Goswami, Vennampally Nataraj, Maranna Shivakumar, Hemant Singh Maheshwari, Saloni Mandloi, Sapna Jaiswal, Asha Yadav, Raksha Vishwakarma

“…All these isolates were pathogenic to the soybean and had significant variability for different Morpho-cultural characters. Principal component analysis (PCA) showed that most of Morpho-cultural traits are not having association with pathogenic traits. …”
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Effects of Sewage Sludge Compost on Carbon, Nitrogen, Phosphorus, and Sulfur Ratios and Soil Enzyme Activities in a Long-Term Experiment by Csilla Almási, Viktória Orosz, Timea Tóth, Mostafa M. Mansour, Ibolya Demeter, István Henzsel, Zsolt Bogdányi, Tamás András Szegi, Marianna Makádi

“…The main factors of treatment effects were plant-available phosphorus (ammonium lactate (AL)-soluble P₂O₅), total P, and NO₃-NO₂-N, based on principal component analysis. The canonical correspondent analyses revealed that phosphatase activities were affected by C:N, C:P, and N:P ratios and β-glucosidase was correlated with P forms and the E4/E6 ratio, while the soil pH strongly affected all soil enzymes. …”
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Discovery of anti-Ebola virus multi-target inhibitors from traditional Chinese medicine database using molecular screening, biophysical investigation, and binding free energy calcu... by Abbas Khan, Abrar Mohammad Sayaf, Anwar Mohammad, Fahad M. Alshabrmi, Tarek Benameur, Dong-Qing Wei, Kar Kheng Yeoh, Abdelali Agouni

“…Furthermore, the binding free energy results revealed that VP30-TCM2644, VP30-TCM4697, VP35-TCM2837, VP24-TCM250, and VP24-TCM277 complexes exhibit significant binding free energy values compared to the control ligands. Principal Component Analysis (PCA) and Free Energy Landscape (FEL) results revealed the trajectories' motion and conformational energy states. …”
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Unraveling the spatiotemporal trends and source attribution of polycyclic aromatic hydrocarbons and oxygenated derivatives in Guangzhou agricultural ditch sediment by Shaomin Li, Weisong Chen, Yichen Liu, Haoyu Wang, Yongtao Li, Zhen Zhang, Xingjian Yang

“…Diagnostic ratios and principal component analysis-multiple linear regression (PCA-MLR) implicated fossil fuel combustion and vehicle emissions as major contributor to the sedimentary OPAHs and PAHs. …”
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A 1-Year Sediment Trap Study on the Downward Flux of Polycyclic Aromatic Hydrocarbons by Settling Particulate Matter in Deep Basins of the Aegean and Ionian Seas, Northeastern Medi... by Ester Skylaki, Constantine Parinos, Maria Tsagkaraki, Ioannis Hatzianestis, Anastasia Christidi, Elisavet Skampa, Ioanna Nikolopoulou, Georgia Kambouri, Ioanna Stavrakaki, Dimitris Velaoras, Giorgos Kouvarakis, Maria V. Triantaphyllou, Maria Kanakidou, Nikolaos Mihalopoulos, Alexandra Gogou

“…The positive matrix factorization (PMF) and principal component analysis (PCA) results reveal complementary insights into PAH sources and transport mechanisms. …”
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Environmental, socioeconomic, and sociocultural drivers of monkeypox transmission in the Democratic Republic of the Congo: a One Health perspective by Guangyu Lu, Zeyin Chong, Enyu Xu, Ce Na, Kaixuan Liu, Liying Chai, Pengpeng Xia, Kai Yang, Guoqiang Zhu, Jinkou Zhao, Olaf Müller

“…Using these data, we applied negative binomial regression model, least absolute shrinkage and selection operator regression model, and principal component analysis (PCA) to identify key environmental, socioeconomic, and sociocultural factors contributing to mpox transmission. …”
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Diversity of performance patterns in dairy goats: multi-scale analysis of the lactation curves of milk yield, body condition score and body weight by Gafsi, Nicolas, Martin, Olivier, Bidan, Fabrice, Grimard, Bénédicte, Puillet, Laurence

“…Each individual lactation curve modeled for MY, BW and BCS was thus summarized by synthetic indicators of level and dynamics. Principal component analysis was performed on the MY, BW and BCS indicators separately, and clusters of phenotypic curves identified. …”
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Exploring the genotypic potential of perilla (Perilla frutescens L.) for climate-resilient agriculture in the North Eastern Himalayas by Meraj Alam Ansari, Meraj Alam Ansari, Amit Kumar, T. P. Ahammed Shabeer, Alok Kumar, Subhra Saikat Roy, Subhra Saikat Roy, Majhrool Hak Ansari, Raghavendra Singh, Raghavendra Singh, Moirangthem Sangeeta, Jayanta Layek, Narendra Prakash, Vinay K. Mishra

“…Seed yield exhibited a positive correlation with copper (Cu), potassium (K), and iron (Fe), while PUFAs showed a positive correlation with omega-6 and a negative correlation with saturated fatty acids (SFAs). Principal component analysis indicated that the first two components explained 71.28% of the variance, with omega-6 and PUFAs: SFA contributing most to principal component 1 (PC1) and monounsaturated fatty acids (MUFAs) and omega-9 contributing most to principal component 2 (PC2). …”
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An ecological, environmental, and economic indicators-based approach towards enhancing sustainability in water and nutrient use for passion fruit cultivation in Colombia by Sonia Mercedes Polo-Murcia, Nesrine Chaali, Camilo Ignacio Jaramillo-Barrios, Sofiane Ouazaa, Victor Javier Polo, John Edisson Calderon Carvajal

“…This study evaluated the combined effects of 3 irrigation levels (I1: 48%, I2: 43%, I3: 33% of field capacity) and 3 fertilization strategies (F1: 100% synthetic, F2: organic + synthetic, F3: synthetic + biofertilizer) across two harvest periods (HP1 and HP2), using an ecological and environmental indicators-based approach. Principal component analysis (PCA) was used to determine optimal irrigation and fertilization practices. …”
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Evaluation of the biological treatment of a real contaminated groundwater through reductive dechlorination biostimulation by Hafsa Yaqoubi, Hafsa Yaqoubi, Geremia Sassetto, Maria Presutti, Mustapha Belfaquir, Bruna Matturro, Bruna Matturro, Simona Rossetti, Laura Lorini, Marco Petrangeli Papini, Marco Zeppilli, Marco Zeppilli

“…Moreover, the principal component analysis plot highlighted distinct groupings based on microbial community across different microcosm conditions, indeed, microbial community structures dominated by D. …”
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Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients by Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, Jeanine L. Marnewick, Oluwafemi A. Sarumi, Boniface Kabaso, Thomas Moser, Karl Stroetmann, Isaac Fwemba, Fisayo Daramola, Martha Nyirenda, Susan J. van Rensburg, Peter S. Nyasulu

“…This study aimed to investigate the performance and interpretability of several ML algorithms, including deep multilayer perceptron (Deep MLP), support vector machine (SVM) and Extreme gradient boosting trees (XGBoost) for predicting COVID-19 mortality risk with an emphasis on the effect of cross-validation (CV) and principal component analysis (PCA) on the results. For this purpose, a dataset with 154 features from 490 COVID-19 patients admitted into the intensive care unit (ICU) of Tygerberg Hospital in Cape Town, South Africa, during the first wave of COVID-19 in 2020 was retrospectively analysed. …”
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Factors associated with retention and adherence on Pre-Exposure Prophylaxis among men who have sex with men in Kigali, Rwanda. by Sezi Mubezi, Samuel S Malamba, Gallican N Rwibasira, Jeanne Uwineza, Jean de Dieu Kayisinga, Eric Remera, Basile Ikuzo, Emah Ndengo, Nadege Umuhoza, Beata Sangwayire, Richard C N Mwesigwa, Caroline E Stamatakis, Manasseh G Wandera, Tom O Oluoch, Eugenie Kayirangwa

“…We used multivariable cox proportion hazard regression to determine factors associated with 3-month retention and principal component analysis (PCA) to determine factors associated with self-reported adherence. …”
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Earliness and morphotypes of common wheat cultivars of Western and Eastern Siberia by S. E. Smolenskaya, V. M. Efimov, Y. V. Kruchinina, B. F. Nemtsev, G. Y. Chepurnov, E. S. Ovchinnikova, I. A. Belan, E. V. Zuev, Chenxi Zhou, V. V. Piskarev, N. P. Goncharov

“…The global and local climate changes determine the producing of highly-adaptive common (bread) wheat commercial cultivars of a new generation whose optimal earliness matches the climatic features of the territory where the cultivars are farmed. Principal component analysis involving our own and published data has been applied to investigate 98 commercial common wheat cultivars from Western and Eastern Siberia comparing their morphotypes; cultivar zoning time; length of the vegetation period; 1000-grain weight, and inheritance of spring growth habit. …”
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Genetic diversity and population structure studies of West African sweetpotato [Ipomoea batatas (L.) Lam] collection using DArTseq. by Issa Zakari Mahaman Mourtala, Arnaud Comlan Gouda, Dan-Jimo Baina, Nwankwo Innocent Ifeanyi Maxwell, Charlotte O A Adje, Moussa Baragé, Oselebe Ogba Happiness

“…Population structure analysis using principal component analysis (PCA), Neighbor-Joining (NJ) tree, and STRUCTURE at K = 4 grouped 271 accessions into distinct clusters, irrespective of their geographic origins, indicating widespread genetic exchange. …”
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Upper circumpolar deep water influences microbial functional gene composition and diversity along the southern Central Indian Ridge and eastern Southwest Indian Ridge by Sheryl Oliveira Fernandes, Dhiraj Paul, Surya Prakash Lankalapalli, Srinivas Rao Arvapalli, Vidya PJ, John Kurian Palayil

“…Potential temperature-salinity profiles showed the presence of nutrient-rich upper circumpolar deep water (UCDW) at >2,000 m in the study areas. Principal component analysis revealed that inorganic nutrient availability largely influenced functional gene diversity in deeper waters. …”
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Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering by Maria K. Jaakkola, Maria Rantala, Anna Jalo, Teemu Saari, Jaakko Hentilä, Jatta S. Helin, Tuuli A. Nissinen, Olli Eskola, Johan Rajander, Kirsi A. Virtanen, Jarna C. Hannukainen, Francisco López-Picón, Riku Klén

“…We combined k-means with two different preprocessing approaches, namely, principal component analysis (PCA) and independent component analysis (ICA). …”
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DepITCM: an audio-visual method for detecting depression by Lishan Zhang, Lishan Zhang, Zhenhua Liu, Yumei Wan, Yunli Fan, Diancai Chen, Qingxiang Wang, Kaihong Zhang, Yunshao Zheng

“…The resolution of these issues is crucial for constructing models of depression detection.MethodsIn this paper, we propose a multi-task representation learning based on vision and audio for depression detection model (DepITCM).The model comprises three main modules: a data preprocessing module, the Inception-Temporal-Channel Principal Component Analysis Module(ITCM Encoder), and a multi-task learning module. …”
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A broad assessment of forty-one skin phenotypes reveals complex dimensions of skin ageing by Jun Yan Ng, Qi Yi Ambrose Wong, Jun Jie Lim, Dingyu Cen, Jia Yi Karen Wong, Yi Ying Eliza Lim, Yang Yie Sio, Kavita Reginald, Yee-How Say, Fook Tim Chew

“…We also explored the interrelationship among forty-one skin ageing phenotypes using Spearman’s Correlation and Principal Component Analysis. Results We analysed our study population, which is composed of 3281 ethnic Chinese participants from the Singapore/Malaysia Cross-sectional Genetics Epidemiology Study (SMCGES). …”
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