THE EFFECT OF THE AGRICULTURAL PRICE POLICIES ON THE AGRICULTURAL PRODUCTION IN IRAQ WITH EMPHASIS ON THE STRATEGIC CROPS (WHEAT, BARLEY AND RICE) FOR THE PERIOD (1985-2008) by Abbas Al-Battah, Ahmed Jameel Ibrahim

“…It also contributes in providing the necessary capital for the economic development operation,The research aims at recognizing the range of the agricultural price policy effect of the strategic agricultural crops in expanding and deflating their local production in order to take benefit from the value of the economic variables and their effective ranges in designing the agricultural price policy suitable for the Iraqi agriculture,We have chosen a number of agricultural crops whose prices have a great importance for they are considered of the important strategic crops in achieving food security of the country. …”
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Modeling Trophic Cascades to Identify Key Mammalian Species for Ecosystem Stability by Idung Risdiyanto, Yanto Santosa, Nyoto Santoso, Arzyana Sunkar

“…By developing a mechanistic model of energy flow in food webs and trophic levels, the model aims to pinpoint each species’ role in the stability and sustainability of biomass flow within the ecosystem. …”
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A hybrid model of machine learning for classifying household water-consumption behaviors by Miao Wang, Zonghan Li, Yi Liu, Lu Lin, Chunyan Wang

“…These findings underscore the scientific value of integrating electricity consumption as a proxy variable in water-consumption behavior classification models, demonstrating its potential to enhance accuracy while simplifying data acquisition processes. …”
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Risk Assessment of Resources Factor in Affecting Project Time by Saiful Husin, Abdullah Abdullah, Medyan Riza, Mochammad Afifuddin

“…Risk assessment results of the three factors in the research indicate that the frequency of events and the level of impact of each variable determine the magnitude of the risk importance value. …”
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Development and optimization of an electrohydrodynamic dehydrator using ANN-GA for improved energy performance by Chakrit Suvanjumrat, Klar Kongsarai, Piyamon Phong-arom, Namnguen Chumphong, Machimontorn Promtong, Jetsadaporn Priyadumkol

“…To predict and control performance, an artificial neural network (ANN) model was developed, achieving a high R-value of 0.9781. Furthermore, an integrated ANN–genetic algorithm (ANN-GA) approach was established to optimize the drying parameters, aiming to maximize drying kinetics and minimize SEC. …”
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Pemetaan Daerah Rawan Longsor di Kabupaten Bandung Barat menggunakan Metode Machine Learning dengan Teknik SVM by Afif Faadhilah, Hary Nugroho

“…Based on the feature importance calculation, it was found that the slope gradient is the most influential variable, with an importance value of 0.35. The model performed well and did not overfit, as it had a training accuracy of 79%, nearly equal to the validation accuracy of 76%. …”
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Tracing a Mantle Component in Both Paleo and Modern Fluids Along Seismogenic Faults of Southern Italy by Filippo Zummo, Fabrizio Agosta, Antonio M. Álvarez‐Valero, Andrea Billi, Dario Buttitta, Antonio Caracausi, Gabriele Carnevale, Barbara Marchesini, Michele Paternoster

“…Abstract Aiming at understanding the source of the fluids that mineralizing within seismically active fault zones, we investigate the noble gas isotopes (i.e., helium (He), neon (Ne), and argon (Ar)) in the fluid inclusions (FIs) trapped in the calcite veins sampled along high‐angle fault zones of the Contursi hydrothermal basin, southern Italy. …”
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Forestry and economic growth in Ghana: evaluating the dynamics using the environmental Kuznets curve and adjusted net savings by Joseph Antwi Baafi, Kwame Acheampong, Michael Kwame Asiedu, Pearl Seyram Kumah

“…Purpose – This study investigates the link between economic growth, environmental sustainability and deforestation in Ghana, aiming to identify the economic drivers of deforestation and assess how sustainable economic practices can mitigate its rates. …”
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Prediction of Grade 4 radiation-induced lymphopenia during chemoradiation therapy for lung cancer patients: Insights from two past trials by Serena Monti, Giuseppe Palma, Ting Xu, Radhe Mohan, Zhongxing Liao, Laura Cella

“…Treatment plan optimization aiming at reducing low-dose bath in the lungs could be an effective strategy for severe RIL mitigation.…”
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NoiseAugmentNet-HHO: Enhancing Histopathological Image Classification Through Noise Augmentation by Prem Purusottam Jena, Debahuti Mishra, Kaberi Das, Sashikala Mishra

“…It demonstrates high effectiveness in noise reduction while preserving image details, proving its value in the robust evaluation of histopathological images.…”
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Evaluation of inflammatory serum parameters as a diagnostic tool in patients with endometriosis: a case-control study by Mariz Kasoha, Panagiotis Sklavounos, Istvan Molnar, Meletios P. Nigdelis, Bashar Haj Hamoud, Erich-Franz Solomayer, Gilbert Georg Klamminger

“…An initial exploratory univariate statistical analysis (Mann-Whitney test) revealed the diagnostic potential of different serum levels of suPar (p = 0.024) and IL-6 (p < 0.001) between both groups; the formation of a distinct training data set (n = 77) subsequently allowed to train a supervised machine learning analysis (tree classifier) employing serum levels of suPar, hepcidin, and IL-6 as predictor variables. Based on an internal 5-fold cross validation, the classifier performance was initially assessed using standard metrics such as sensitivity, positive predictive value, and AUROC curve. …”
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Machine learning-based identification of co-expressed genes in prostate cancer and CRPC and construction of prognostic models by Changhui Fan, Zhiheng Huang, Han Xu, Tianhe Zhang, Haiyang Wei, Junfeng Gao, Changbao Xu, Changhui Fan

“…The results of calibration curve and decision curve show that the model has potential clinical application value. The nomogram can accurately predict the prognosis of patients. …”
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Pemanfaatan Tanaman Eceng Gondok (Eichornia Crassipes) Untuk Menurunkan Kadar Amonia Dan Fosfat Pada Limbah Cair Rumah Sakit Otika Banten Dengan Metode Fitoremediasi by Widya Hadiattin, Tauny Akbari

“…The results showed the best reduction efficiency of ammonia parameters, namely in the E8 treatment (8 plants) with a reduction value of 1.06 mg/L (85%) and the best reduction in phosphate parameters, namely in the E8 treatment (8 plants) with a reduction value of 1.26 mg/L (70%). …”
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Clinical audit of nonoperative anaesthesia time and surgical site infections of canine tibial plateau osteotomy procedures by Amy Mann, Ciara Barr

“…Aims and objectives: The aim of this clinical audit was to reduce nonoperative anaesthesia time from 131 minutes to 102 minutes while maintaining surgical site infection rates below 10% for canine tibial plateau osteotomy procedures. …”
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Implementasi Self Organizing Maps untuk Pengelompokan Kabupaten/Kota Berdasarkan Indeks Pembangunan Manusia by Dwi Marisa Midyanti, Syamsul Bahri

“…However, some consider the four indicators to be less representative of development. This study aims to carry out the West Kalimantan IPM cluster by adding population density variables, the number of teachers and students, and the number of unemployed using Self Organizing Maps (SOM). …”
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基于1stOpt的二级圆柱齿轮减速器优化设计 by 董恰

“…Aiming at the traditional method of optimal design of gear reducer depends on the initial values badly,leading to the poor results,the study on the design variables and restriction conditions are carried out,the optimization mathematical model is established.The problem that appropriate initial values must be given when using the iterative method during the optimization design is overcame by the using of 1stOpt software.The design efficiency and shortened design period greatly are improved.…”
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Asymptotic Properties of The Estimator of The Conditional Distribution for Associated Functional Data by Mohamed Mehdi Hamri, Abdassamad Dib, Abbes Rabhi

“…The purpose of the paper was to investigate by the kernel method a nonparametric estimate of the conditional density function of a scalar response variable given a random variable taking values in a separable real Hilbert space when the observations are quasi-associated dependent. …”
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The Estimating Parameter and Number of Knots for Nonparametric Regression Methods in Modelling Time Series Data by Autcha Araveeporn

“…The study applies nonparametric regression to forecast time series data with cyclic patterns and nonlinear forms in the dependent variable, treating the independent variable as sequential data. …”
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V(D)J Recombination Excision Circles of B- and T-cells as Prognostic Marker in B-Cell Chronic Lymphocytic Leukemia by IV Obraztsov, MA Gordukova, NA Severina, BV Biderman, SYu Smirnova, AB Sudarikov, EA Nikitin, AG Rumyantsev

“…The aim of our study is to identify the prognostic value of the excision circles in the chronic lymphocytic leukemia (CLL) setting. …”
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An UPLC-Q-TOF/MS-Based Analysis of the Differential Composition of Dendrobium officinale in Different Regions by Qianqian He, Anjing Lu, Lin Qin, Qianru Zhang, Yanliu Lu, Zhou Yang, Daopeng Tan, Yuqi He

“…However, varying growth and production conditions, such as cultivation environment, origin, harvesting process, or processing methods, resulting in highly variable yields, quality, and composition. The aim of this study was to investigate whether the content of secondary metabolites in D. officinale from different origins is consistent with the polysaccharide content. …”
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