Influence of plant growth-promoting rhizobacteria (PGPR) on blackberry (Rubus glaucus Benth. cv. thornless) growth under semi-cover and field conditions by Jacobo Robledo-Buriticá, Juan Carlos Aristizábal-Loaiza, Nelson Ceballos-Aguirre, Teresa Cabra-Cendales

“…Significant differences (P<0.05) were obtained in total number of branches over time by bacterial strains. Nonetheless, last observation of this variable did not present statistical differences among strains and mineral fertilization. …”
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Machine learning-based prediction of mortality risk in AIDS patients with comorbid common AIDS-related diseases or symptoms by Yiwei Chen, Kejun Pan, Xiaobo Lu, Erxiding Maimaiti, Maimaitiaili Wubuli

“…Eight predictors were screened using lasso regression, followed by building eight models and using SHAP values (Shapley’s additive explanatory values) to identify key features in the best models. …”
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Removing seasonal confectionery from prominent store locations and purchasing behaviour within a major UK supermarket: Evaluation of a nonrandomised controlled intervention study. by Carmen Piernas, Georgina Harmer, Susan A Jebb

“…After intervention implementation, there was an attenuation in the seasonal increase of confectionery sales (units) in intervention stores compared to control (+5% versus +18%; P < 0.001), with similar effects on weight (g) (+12% versus +31%; P < 0.001) and value (£) (-3% versus +10%; P < 0.001). ITS analyses generally showed statistically significant differences in the level at the point of intervention (P ranges 0.010 to 0.067) but also in the trend afterwards (P ranges 0.024 to 0.053), indicating that the initial difference between intervention and control stores reduced over time. …”
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Unveiling Recurrence Patterns: Analyzing Predictive Risk Factors for Breast Cancer Recurrence after Surgery by Monireh Shahmoradi, Ahmad Fazilat, Mostafa Ghaderi-Zefrehei, Arash Ardalan, Ali Bigdeli, Nahid Nafissi, Ebrahim Babaei, Mahsa Rahmani

“…Model fitting, was assessed through the Akaike Information Criterion (AIC), and indicated the logistic distribution as the most fit one among concurrent and independent variable models. Results: The Cox proportional hazard regression model consistently demonstrated superior fitting, characterized by the lowest AIC values. …”
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Positive Solutions for Singular Semipositone Fractional Differential Equation Subject to Multipoint Boundary Conditions by Rui Pu, Xingqiu Zhang, Yujun Cui, Peilong Li, Weiwei Wang

“…The nonlinearity may change its sign and may possess singularities on the time and the space variables at the same time.…”
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Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions by Wenxin Xu, Jie Chen, Gerald Corzo, Chong‐Yu Xu, Xunchang John Zhang, Lihua Xiong, Dedi Liu, Jun Xia

“…The results show that the hybrid model consistently performs better than VIC and CNN‐GRU models with great improvement in Kling‐Gupta efficiency (KGE) values for lead times up to 6 months. Additional tests indicate that hybrid models based on CNN‐GRU outperform those based on LASSO, XGBoost, CNN, and GRU models. …”
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Relationship between knowledge transfer and sustainable innovation in interorganizational environments of small and medium-sized enterprises by Ana Judith Paredes Chacín, Sebastian Diaz Bejarano, Freddy Marín-González, Elmer Vega-Ramírez

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Control of the frequency response of a narrow-band filter for the X-band frequency based on a photonic crystal with a movable cylindrical defect by E. A. Ryabov, A. A. Andreev, S. A. Sergeev, A. I. Mikhailov

“…The proposed, designed, and manufactured experimental samples of narrow-band filters in the X-band based on a photonic crystal demonstrated reliably variable transmission values and the possibility of controlling the resonant peak frequency and thus the entire frequency response, including operational control. …”
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Socioeconomic factors associated with choice of delivery place among mothers: a population-based cross-sectional study in Guinea-Bissau by Sanni Yaya, Ghose Bishwajit, Nathali Gunawardena

“…The place of delivery (home or health facility) was the outcome variable of interest using 7532 women of reproductive age (15–49 years). …”
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Factors associated with treatment response in chronic nonbacterial osteomyelitis at a single center: a retrospective cohort study by Katherine D. Nowicki, Nathan D. Rogers, Carson L. Keeter, Nathan J. Donaldson, Jennifer B. Soep, Yongdong Zhao

“…These models were optimized using variable combinations that minimized multicollinearity and maximized predictive power, as indicated by minimized AIC values. …”
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Study on 2007–2021 Drought Trends in Basilicata Region Based on the AMSU-Based Soil Wetness Index by Raffaele Albano, Meriam Lahsaini, Arianna Mazzariello, Binh Pham-Duc, Teodosio Lacava

“…In this study, data acquired by the advanced microwave sounding unit (AMSU) onboard the European Meteorological Operational Satellite Program (MetOP) satellites were used for the first time to extract information on the variability of SM by implementing the original soil wetness index (SWI). …”
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Developing a model for predicting suicide risk among prostate cancer survivors by Jie Yang, Hai-ming Liu, Xiang Qu, Fan Jiang, Jie-wei Hao, Pei-rong Rong, Peng Ning, An-jie Zheng

“…Variables to be included in the final model were selected using backward stepwise Cox regression. …”
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Early prediction of sepsis-induced cardiorenal syndrome: superiority of myoglobin over troponin I by Yiguo Liu, Chao Zheng, Xi Liu, Xiao-qin Zhang, Yingying Zhang, Chen Yu

“…The proposed model could support early risk stratification and inform timely clinical decision-making in critical care settings.…”
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Predicting speed of progression of lens opacification after pars plana vitrectomy with silicone oil. by Philipp Schindler, Luca Mautone, Vasyl Druchkiv, Toam Katz, Martin Stephan Spitzer, Christos Skevas

“…Via backward variable selection method a mathematical formula was set up by means of which predictions about lens densitometry (LD) can be calculated.…”
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PERFORMANCE EVALUATION OF THE INDF.JK STOCK PRICE MOVEMENT PREDICTION MODEL USING RANDOM FOREST METHOD WITH GRID SEARCH CROSS VALIDATION OPTIMIZATION by Della Zaria, Evy Sulistianingsih, Shantika Martha, Wirda Andani

“…The Random Forest prediction model with Grid Search CV optimization has better performance indicators than the Random Forest model without Grid Search CV optimization, which is shown by the increase of all indicator values. The relative Strength Index is the variable with the best performance for the prediction model. …”
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An Increased Ratio of Glycated Albumin to HbA1c Is Associated with the Degree of Liver Fibrosis in Hepatitis B Virus-Positive Patients by Hirayuki Enomoto, Nobuhiro Aizawa, Hideji Nakamura, Yoshiyuki Sakai, Yoshinori Iwata, Hironori Tanaka, Naoto Ikeda, Tomoko Aoki, Yukihisa Yuri, Kazunori Yoh, Kenji Hashimoto, Akio Ishii, Tomoyuki Takashima, Kazunari Iwata, Masaki Saito, Hiroyasu Imanishi, Hiroko Iijima, Shuhei Nishiguchi

“…The GA/HbA1c ratios were inversely correlated with four variables of liver function: the prothrombin time (PT) percentage (P<0.0001), platelet count (P<0.0001), albumin value (P<0.0001), and cholinesterase value (P<0.0001). …”
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Crime and birth rate in Ukraine: modelling and statistical analysis by O. F. Shevchuk

“…An attempt has been made to combine separate time periods with one regression equation by introducing additional indicator variables. …”
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Delayed Postoperative Ambulation Results in a Significant Increase in 90-Day Mortality in Surgically Treated Hip Fractures by Robert S. Wood DO, Maddie Vergun BS, Elizabeth Herrera MPH, Jacqueline Krumrey MD

“…Only 6.3% of cases ambulated in the hospital compared to 53.1% of controls ( P -value <.001). Logistic regression indicated that the odds of death were 17 times higher in patients who did not walk during their hospital stay (OR: 17.0, 95% CI: 2.91-326.0, P -value: 0.01). …”
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A prediction risk score for HIV among adolescent girls and young women in South Africa: identifying those in need of HIV pre-exposure prophylaxis by Reuben Christopher Moyo, Darshini Govindasamy, Samuel Om Manda, Peter Suwirakwenda Nyasulu

“…However, a combination of the purported risk variables in a multivariate risk model could be more useful in determining HIV risk in AGYW than one at a time. …”
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An observational study to assess the outcomes of treatment of patients with stable angina after planned percutaneous coronary intervention: baseline patient characteristics by L. G. Ratova, E. N. Parizhskaya, K. A. Kovaleva, A. O. Nedoshivin, O. D. Nemyatykh, V. V. Pulit, A. O. Konradi

“…Based on the initial clinical characteristics of the patients included in the study, descriptive statistical parameters were calculated. For continuous variables, the mean value and standard deviation were calculated, for the categorical variables — the frequency of characteristic occurrence.Results. …”
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