Research on Heating Load Prediction Model based on the Influence of Multiple Meteorological Elements using Deep Learning by Rui MIAO, Mingcai LI, Meiling SUN, Di PAN, Xifan ZHANG

“…Accurate heating load forecasting is crucial for enhancing the efficiency of district heating systems and improving indoor comfort in buildings.This study takes Tianjin， a major city in northern China， as a case study.Based on hourly heating load and meteorological data from the heating season in 2021 -2022， the impacts of comprehensive meteorological factors， such as temperature， wind speed， relative humidity， and solar radiation， on heating load is analyzed.An efficient short-term heating load prediction model is constructed using the Nonlinear Autoregressive with Exogenous Inputs （NARX） neural network algorithm.The results show that the hourly heating load that displays significant diurnal and monthly variations， has a notably negative correlation with temperature， weakly negative correlation with solar radiation， while the relationships with humidity and wind speed vary depending on the season.Compared to the prediction model considering only temperature， the model incorporating temperature， wind speed， relative humidity， and solar radiation together has better prediction performance， reducing the relative error by approximately 1.4%.By comparing the forecast results with the LSTM neural network prediction model， the NARX model significantly enhances prediction accuracy with decreasing the relative error by about 3.6%.…”
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Results of rearing Siberian sturgeon in cages in the European North by Volkova Anna, Muraviya Larisa

“…As a result of the study, a reliable increase in fish weight was noted when kept in groups with a stocking density of 132 pcs/m2, under different temperature conditions. In the cage with a more optimal temperature of 1580 degree-days, the fish weight by the end of rearing was significantly greater and made 199 g, while the increase in stocking density did not have a negative effect on the rearing results and contributed to a more efficient use of production areas. …”
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Development of multiplex PCR system for identification of glyphosate-tolerant sugar beet by Л. М. Присяжнюк, Ю. В. Шитікова, О. О. Волчков

“…Based on the results of test multiplex reactions, concentrations of dNTPs and Mg2+ ions were determined that allowed to exclude the possibility of non-specific fragments and false-negative results. The optimum amount of matrix DNA (100–150 ng) for an efficient estimate of transgenic sugar beet plants for the presence of specific sequences was determined. …”
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Effect of the Addition of Different Metal Oxides in Lead Borosilicate Glasses on the Electrical Characteristics of SbSn Composition-Based Thick-Film Resistors by E. R. Cubellio, G. N. Natu, R. N. Karekar, R. C. Aiyer

“…The resistive pastes are formulated with both powders, 5% glass and conventional organic binder. The firing temperature is optimized for eight glasses. The sheet resistivity varies from 1600 Ω/□ to 40 Ω/□ , with negative temperature co-efficient of resistance varying from 2000 ppm/℃ to 800 ppm/℃ respectively. …”
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Modification Mechanism of Asphalt Modified with Rock Asphalt and Styrene-Butadiene Rubber (SBR) by Xiangming Deng, Hui Huang, Bin Wang, Jie Chen

“…On the other hand, the negative low-temperature performance of RA modified asphalt impeded its application in cold regions. …”
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Lithium Battery Degradation and Failure Mechanisms: A State-of-the-Art Review by Joselyn Stephane Menye, Mamadou-Baïlo Camara, Brayima Dakyo

“…It emphasizes the importance of understanding the degradation mechanisms and failure modes specific to different families of lithium batteries, as well as the critical influence of temperature and current quality. Rational management or efficient controlling of these parameters can enhance the performance, reliability, and lifespan of lithium batteries.…”
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Detection of antiferromagnetic order in a RuO2/Pt bilayer by spin Hall magnetoresistance by Yuta Kobayashi, Shutaro Karube, Itaru Sugiura, Hideki Narita, Ryusuke Hisatomi, Yoichi Shiota, Teruo Ono

“…This reflects the thinner film of RuO2 in our study, suggesting that thickness control is effective in adjusting the magnetic anisotropy of RuO2. In addition, the temperature-dependent SMR measurement revealed the Néel temperature of 1 nm thick RuO2 to be 70 ± 9 K. …”
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Applicability, adsorbent chitosan@Fe2 (MoO4)3 nanocomposite for removal of textile reactive red198 dye from wastewater by Elham Pournamdari, Leila Niknam

“…The results of the thermodynamic parameter showed a negative enthalpy (- 2.92 kJ mol−1), a negative Gibbs free energy (−15.25 kJ mol−1), and negative entropy (−39.28 kJ K−1 mol−1). …”
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Anomaly classification in IIoT edge devices by Danny Alexandro Múnera-Ramírez, Diana Patricia Tobón-Vallejo, Martha Lucía Rodríguez-López

“…Data used to perform the classification comes from a Raspberry Pi 3, specifically from its CPU (e.g., temperature, load, free memory, Wi-Fi sent and received packets). …”
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One-, Two-, and Three-Parameter Isotherms, Kinetics, and Thermodynamic Evaluation of Co(II) Removal from Aqueous Solution Using Dead Neem Leaves by Cornelius Tsamo, Abba Paltahe, Daniel Fotio, Tore Atangana Vincent, Wassansa Francois Sales

“…Equilibrium was attained in 10 minutes for the three concentrations with a removal efficiency of 85–97%. ∆G° of −5.424 to −6.068 KJ/mol at 25 to 60°C, respectively, indicated spontaneous adsorption with increasing temperature. …”
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Multivariate Statistical Approach for Anomaly Detection and Lost Data Recovery in Wireless Sensor Networks by Roberto Magán-Carrión, José Camacho, Pedro García-Teodoro

“…To evaluate the proposal, we consider WSN scenarios based on temperature sensors, both simulated and real. Furthermore, we consider three different routing algorithms, showing the strong interplay among (a) the routing strategy, (b) the negative effect of data loss on the network performance, and (c) the data recovering capability of the approach. …”
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Effect of tool angle in nanocutting of single crystal GaN using diamond cutter by Yongqiang WANG, Hao XIA, Zhihang HU, Shuaiyang ZHANG, Shaohui YIN

“…It unequivocally establishes that: Tool rake angle is a paramount factor governing the dominant material removal mode, chip formation efficiency, and the severity of subsurface damage. Large negative rake angles, while sometimes necessary for tool edge strength, induce extreme stress and temperature conditions that promote massive dislocation activity, phase transformation, and amorphization, leading to deep subsurface damage. …”
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FIRST CLINICAL EXPERIENCE OF USING COLUMN FOR LPS-ADSORPTION OF TOXIPAK IN TREATMENT OF SEPSIS PATIENTS by L. L. Gendel, A. A. Sokolov, S. N. Gubanova, I. Yu. Adamova, P. A. Levashov

“…Endotoxicosis is one of the main factors of the pathogenesis of multiple organic dysfunctions in gram-negative sepsis, induced by the accumulation of lipopolysaccharides - wall components of gram-negative bacteria. …”
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Microbial degradation of Diquat by strain Meyerozyma guilliermondii Wyslmt: Identification of transformation products and clarification of degradation pathways by Fangyuan Wang, Jinrong Jia, Wei Gu

“…The continuous and extensive use of pesticides has negative impacts on the environment and human health. …”
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Understanding the sorbent properties of layered double hydroxide for the removal of pharmaceuticals from aqueous Solutions: A comprehensive review by Zahraa Ali Hammood, Ahmed A. Mohammed

“…Furthermore, the kinetic and mechanism aspects of adsorption are analyzed in relation to pH, temperature, and ionic strength. The insights gained from these studies can contribute to the development of multifunctional LDH materials for the efficient removal of pharmaceutical contaminants, thereby mitigating their harmful effects on water bodies and ecosystems.…”
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Calculation and Forecast of Glacial Feeding in River Basins by V. G. Konovalov

“…The annual vertical profiles of mean air temperature of April T4 = T4(Z), summer ones Ts = Ts(Z), and formulas for calculating Ts as a function of T4 are constructed and used for the calculations. …”
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Monitoring Total Water Storage Changes with GRACE Mission and GLDAS Model and Effect of Climatic Factors on These Changes: Case Study in Konya Basin by Emel Zeray Öztürk

“…The climate changes observed in recent years require the efficient use of water resources. In this respect, policies followed for sustainable water management necessitate continuous monitoring of water mobility. …”
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Integrating photovoltaic with sea cucumber aquaculture: Environmental impacts and holothurian digestion and aestivation by Shuang Guo, Zhenglin Yu, Chaowei Hou, Han Wang, Tongtong Jiang, Lei Pang, Xiao Cong, Qing Wang, Xiutang Yuan

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Influence mechanism of natural factors and human socio-economic activities on ecosystem health in arid regions of Central Asia: A case study of Fuyun area, northwest China by Xu Bi, Kailong Shi, Yongyong Fu, Wangyue Zhou, Ruoning Zhao, Haijun Bao

“…In high-elevation areas (above 2460 m), EHI showed a positive correlation with both temperature and potential evapotranspiration. Natural and human socio-economic activities significantly impacted ecosystem health in low- and medium-elevation regions, while human socio-economic activities had no significant influence in high altitude regions. (4) As a mediator, PET amplified the negative effect of temperature on EHI, weakened the positive impact of precipitation and the digital elevation model (DEM) on EHI, and strengthened the positive influence of slope on EHI. …”
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Influence of metabolites of microorganisms from permafrost on the synthesis cytokines by human peripheral blood mononuclear cells in vitro by S. S. Kolyvanova, L. F. Kalenova

“…Permafrost is a unique ecosystem characterized by consistently negative temperatures. It has been shown that microorganisms can be there in a state of hypometabolism or anabiosis during geological time. …”
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