Russia-China Relations: An Asymmetrical Partnership? by Sergei Lukonin

“…Therefore, assessing the main outcomes of Russian-Chinese cooperation in trade, finance, economics, and science is crucial while identifying their achievements and probable limitations for further development. …”
Get full text

Efficacy of pulmonary surfactant with budesonide in premature infants: A systematic review and meta-analysis. by Nanthida Phattraprayoon, Bing Tan, Mingkwan Na Takuathung

“…This study was implemented to determine the efficacy of PS combined with budesonide in premature infants. To achieve this, we conducted a systematic review and meta-analysis of randomized controlled trials by searching PubMed, Scopus, Embase, and the Cochrane Library from inception until July 12, 2024. …”
Get full text

Strategic Selenium Application Methods and Timing Enhance Grain Yield, Minimize Cadmium Bioaccumulation, and Optimize Selenium Fortification in <i>Triticum aestivum</i> L. by Dazhong Zhang, Jiajia Liu, Tingting Cheng, Hongyi Wang, Yongzhen Zhou, Zhengwu Gong, Tiezhu Hu

“…In conclusion, the combined application of SeVI (at the seedling, jointing, and heading stages) and SeMet (at the filling stage) helped achieve the desired outcomes of high grain yield, low Cd content, and Se enrichment under Cd stress.…”
Get full text

Efficient recovery of rare metal lanthanum from water by MOF-modified biochar: DFT calculation and dynamic adsorption by Qilan Huang, Qianru Zhang, Shuwen Zhao, Chuchen Zhang, Huixin Guan, Jianqiao Liu

“…The maximum La3+ adsorption capacity of MOF@BC (288.89 mg g−1) was achieved at pH 6.0, which was significantly higher than the adsorbents' previously documented adsorption capacities. …”
Get full text

Digital mapping of soil salinity with time-windows features optimization and ensemble learning model by Shuaishuai Shi, Nan Wang, Songchao Chen, Bifeng Hu, Jie Peng, Zhou Shi

“…The combination of the time-series mining method with the ensemble model helps achieve a higher accuracy in digital soil mapping.…”
Get full text

Development of students' critical thinking as the development of their functional literacy by Vera M. Zhurakovskaya, Sergey V. Krivykh

“…An analysis of the achievements of experimental work related to the use of techniques for the development of critical thinking of students in the educational process made it possible to establish an increment in the experience of critical thinking of students, which gave reason to consider the developed techniques effective. …”
Get full text

Occupational injuries, mental workload and coping strategies among the nursing workforce in the Eastern Region of Ghana: a multi-centre study by Collins Atta Poku, Abital Ayergo Ahulu, Janet Otomo, Doris Hagan, Catherine Kroamah Dwumfour, Joseph Shahadu Issifu, Veronica Dzomeku

“…Conclusion The findings underscore the importance of addressing mental workload in nursing to reduce occupational injuries. To achieve this, nurses must be provided with appropriate coping strategies and support to minimise mental stress. …”
Get full text

Turning SKD 11 Hardened Steel: An Experimental Study of Surface Roughness and Material Removal Rate Using Taguchi Method by Shah Ashiquzzaman Nipu, Rezaul Karim, Aquib Rahman, Mahjabin Moon, I. A. Choudhury, Junayed Bin Omar, Marsia Sultana Khushbu

“…The analysis of the signal to noise ratio reveals that the optimal combination of cutting process parameters for achieving a desired surface roughness consists of a cutting speed of 119 m/min, a feed rate of 0.11 mm/rev, and a depth of cut of 0.2 mm. …”
Get full text

Assessment of Diagnostic Values among CA-125, RMI, HE4, and ROMA for Cancer Prediction in Women with Nonfunctional Ovarian Cysts by Shina Oranratanaphan, Sinee Wanishpongpan, Wichai Termrungruanglert, Surang Triratanachat

“…ROMA had slightly lower sensitivity (79.3% vs. 87.9%) and similar NPV (93.7% vs. 93.6%), but higher specificity (79.8% vs. 46.2%) and PPV (50.5% vs. 29.8%) compared with CA-125. The model that achieves the highest area under the ROC curve in differentiating benign versus malignant ovarian tumor was ROMA. …”
Get full text

Performance Analysis of Prefabricated Steel-Spring Floating-Slab Track and Its Application to Urban Express Rail Transit by Xudong Huang, Ping Li, Xinwei Luo, Liang Ling, Abdulmumin Ahmed Shuaibu, Zhiping Zeng

“…Due to the optimization and establishment of relevant factors influencing the performance of prefabricated steel-string floating-slab track achieved in the study, the results obtained are particularly useful for setting safety, comfort, and stability requirements of the floating slab.…”
Get full text

Optimization of performance under off-design conditions for dual-pressure organic Rankine cycle with hot source splitting by Shiqi Wang, Zhongyuan Yuan, Kim Tiow Ooi, Xiangyu Chang, Nanyang Yu

“…The highest thermal and exergy efficiencies achieved are 8.54% and 49.98%, respectively. A reduction of 1 °C in cooling water temperature corresponds to a 3.5% increase in output power. …”
Get full text

Modelling the mode choice behaviour of Mobility-as-a-Service (MaaS) users in the Solent area of the UK by Nazam Ali, Seda Sucu Sagmanli, Nima Dadashzadeh, Djamila Ouelhadj

“…Thus, this research explores the transport mode choice of MaaS users between private transport, public/shared transport and active transport and how individual characteristics of users affect their mode choices. To achieve this aim, a revealed preference survey was distributed among Breeze MaaS app users in the Solent area, Southeast of England. …”
Get full text

Drug Use Evaluation of Beta-Blockers in Medical Wards of Nedjo General Hospital, Western Ethiopia by Ginenus Fekadu, Firomsa Bekele, Kumera Bekele, Sagni Hanbisa, Gemechis Belay, Mudasir Maqbool

“…Beta-blocker use evaluation is a performance method that focuses on the evaluation of beta-blocker use processes to achieve optimal patient outcomes. Several studies conducted in different hospitals revealed a high incidence of inappropriate prescription of beta-blockers among hospitalized patients. …”
Get full text

Reducing door-to-balloon time in STEMI patients through instant messaging: An empirical study during the COVID-19 pandemic by Yi-Chun Yang, Chih-Tsung Liu, Bao-Tzung Wu

“…The proportion of patients achieving door-to-electrocardiogram time (DTET) ≤10 min was similar in the two groups (experimental: 92.2% and control: 93.6%; P = 0.674). …”
Get full text

Randomized geographic-based routing with nearly guaranteed delivery for three-dimensional ad hoc network by Alaa E. Abdallah, Emad E. Abdallah, Mohammad Bsoul, Ahmed Fawzi Otoom

“…We show experimentally that these hybrid randomized routing algorithms on three-dimensional mobile ad hoc networks can achieve nearly guaranteed delivery while discovering routes significantly closer in length to the shortest path and with low overhead.…”
Get full text

Mineral Characteristics and Organoleptic Properties of Musa balbisiana (Wild Banana) Pseudostem collected from San Francisco, Mainit, Surigao del Norte, Philippines and Incorporate... by G. Q. Diamola, E. C. Taer, R. J. C. Ferol, L. R. Antigro, B. C. Bagaipo

“…Sensory evaluation by 50 semi-trained panelists showed that MB 75% achieved optimal results, performing comparably or superior to the control in several attributes, notably surpassing it in color (8.49 vs. 8.14, p<0.05) and texture (8.39 vs. 7.78, p<0.05) ratings while maintaining high acceptability in appearance (7.59), aroma (7.41), and taste (7.61). …”
Get full text

Operativity of the Taunsa Barrage, Pakistan: Experimental Investigation on the Subsidiary Weir by Muhammad Zahid Ullah, Habib-Ur-Rehman Mughal, Noor Yaseen, Noor Muhammad Khan, Giada Varra, Luca Cozzolino, Renata Della Morte

“…The results demonstrated (i) inadequate tailwater levels and oscillating hydraulic jump formation under increased discharges in pre-rehabilitation conditions (highlighting the poor performance of the original Taunsa Barrage stilling basin and the need for an SW to address these hydraulic deficiencies), and (ii) that the SW, under the design conditions, achieved optimal head loss for discharge values near the design discharge. …”
Get full text

Adaptive Gaussian Incremental Expectation Stadium Parameter Estimation Algorithm for Sports Video Analysis by Lizhi Geng

“…Our proposed visual object tracking algorithm not only outperforms existing visual object tracking algorithms in terms of accuracy, success rate, accuracy, and robustness but also achieve the performance required for real-time tracking in terms of execution speed on the central processing unit (CPU). …”
Get full text

Conjoint effect of nanofluids and baffles on a heat exchanger thermal performance: Numerical approach by hayder Al-Lami, Dheyaa S.J. Al-Saedi, Ali A.H. AlMaidib, Qudama Al-Yasiri

“…Lastly, the Gr water nanofluid achieved a 1.4% increase, which, while lower than the other two, still indicates that carbon-based nanoparticles can provide a measurable boost in thermal performance under turbulent conditions…”
Get full text

Multi mode coordinated control algorithm for DC near-field photovoltaic based on adaptive mutation particle swarm optimization by Hua Weng, Weijun Zhu, Jun Wu

“…To ensure stable operation,this article proposes an innovative multi-mode coordinated control strategy for DC near-field photovoltaic systems that integrates adaptive mutation particle swarm optimization technology to achieve more efficient control performance. The operation of distributed photovoltaic system is divided into five modes: single-machine reactive power regulation, multi-machine reactive power coordination, active power reduction mode in multi machine systems, Existing power recovery models and reactive power recovery mode; So the mathematical model of the inverter main controller is constructed, using adaptive mutation particle swarm optimization algorithm to solve the model, in order to improve solving efficiency and accuracy Committed to overcoming the limitations of slow convergence speed and susceptibility to local optima in particle swarm optimization algorithms, in order to optimize algorithm performance, when optimizing the particle swarm optimization algorithm, synchronously tuning the learning factor and inertia weight parameters is aimed at accelerating the convergence process and improving the accuracy of the algorithm. …”
Get full text