Quality failures in Energy- saving renovation projects in Northern China by Yuting Qi

“…In order to explain how the intricate relationships among the causes affect the quality of building energy renovation projects, the interpretive structural modelling (ISM) and Matrix Impact Cross-reference Multiplication Applied to a Classification (MICMAC) techniques are applied. …”
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FIELD TECTONOPHYSICS IN SOLUTIONS OF GEODYNAMIC EVOLUTION PROBLEMS OF THE UKRAINE TERRITORY by O. B. Gintov, A. V. Murovskaya, S. V. Mychak

“…The integrated approach combining kinematic and structural-paragenetic field tectonophysics techniques allows us to construct a continuous time scan of the stress-strain state (SSS) and deformation modes (DM) from sediment lithification to the final orogenic process for the studied areas. Definitions of the continuous sequence of SSS and DM provide for control of the known geodynamic reconstructions and adjustment of geodynamic models. …”
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Analysis of the Water Vapor Characteristics and Trigger Mechanism for a Typical Heavy Rainstorm in the Extreme Arid Region of the Southern Xinjiang by Shaoqing MO, Yaohui LI

“…In order to strengthen our understanding of the water vapor characteristics and trigger mechanism of the rainstorm in southern Xinjiang， this paper analyzes a rainstorm process occurred over southern Xinjiang region during 24 -28 June 2019.Various data includingFNL（NCEP final operational global analysis） and ERA5 （fifth version of the European Centre for medium-range weather forecasts reanalysis model） reanalysis data， hourly observation data at the automatic meteorological station， the satellite equivalent blackbody brightness temperature data of FY-2G are used.The results show that the precipitation occurred under the background of synoptic circulation with “two-ridge and two-trough” pattern over the middle and high latitude， the low vortex of Balkhash Lake， the ridge of Iran and convergence line are the main weather systems leading to the heavy rainfall.The water vapor of the heavy rainfall mainly comes from the Atlantic Ocean， Black Sea， Rio / Aral Sea， Arabian Sea and Gulf of Bengal， along the northwest， partial west and southwest paths to the southern Xinjiang Basin.Water vapor from the northwest and west paths to the southern Xinjiang Basin are guided by the low-level jet， and from the southwest path is transported over the Qinghai-Xizang Plateau to the southern Xinjiang under the guidance of the 500 hPa cyclone wind field and the southwest high-level jet on 200 hPa in the western southern Xinjiang.Water vapor revenue and expenditure calculation shows that water vapor input is mainly concentrated on the high level of troposphere at the south boundary， low and high levels of troposphere at the north boundary； the output of water vapor is concentrated in the low and high layers of the troposphere at the east boundary.The convergence line is the most important trigger system for this heavy rainfall， whose form is caused by the convergence of the dominant air flow invaded from the north in front of the high and steep terrain （KunLun Mountains） on the south side of the southern Xinjiang Basin.Meanwhile， the accumulation of water vapor brought by the northwesterly airflow in the north of the convergence line in front of the mountain is sufficient which is favorable for the rainstorm.Under the impact of terrain uplift， accompanied with the uplifting of air mass and accumulation of water vapor at the foothill of KunLun mountains， unstable energy is released and the convection system constantly generates and develops near the mountains， bringing continuous heavy rainfall to Hotan region.…”
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“CONFESSIONS” BY J.-J. ROUSSEAU: TECHNIQUES OF AESTHETIC INFLUENCE AND STRATEGY OF READER’S RECEPTION by Olena K. Cherniavska, Iryna Ye. Rozhdestvenska

“…The researchers describe the semiotic model of literary communication and the theory of the text by Yuri Lotman. …”
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Application of Magnetic Aquatic Plant Biochar for Efficient Removal of Antimony from Water: Adsorption Properties and Mechanism by Luyi Nan, Yuting Zhang, Min Liu, Liangyuan Zhao, Yuxuan Zhu, Xun Zhang

“…The adsorption rate of Sb by LMBC was relatively rapid, and the kinetics of adsorption conformed to a pseudo-second-order kinetic model. The adsorption isotherm was consistent with the Langmuir and Freundlich models, and the maximum adsorption capacity of Sb reached 26.07 mg/g, suggesting that the adsorption process pertained to the adsorption of multi-molecular layers. …”
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Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia by Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage

“…Addressing this gap, the present study employs five traditional machine learning (ML) algorithms, K-nearest neighbors (KNN), regression trees, random forest, support vector machines (SVMs), and gaussian process regression (GPR), to forecast moisture levels within pavement layers over time, with varying algorithm complexities. …”
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Highly efficient variable step-size binary search algorithm for ultra-compact cyclic three-mode converters by Yongchen Wang, Hangming Fan, Zhe Yuan, Junlin Pan, Xiaoyang Liu, Mengfan Cheng, Qi Yang, Deming Liu, Lei Deng

“…The concept of “pixel splitting” is introduced for the first time in this paradigm. By layering the optimization process in several segments, the size of each pixel also changes dynamically, achieving both high efficiency and superior performance. …”
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The Characteristics of the Water Vapor Transport under The Condition of Dry and Wet Evolution in the Source Region of the Yellow River by Yu LIU, Rong LIU, Xin WANG, Zuoliang WANG, Dayong WANG

“…By analyzing Soil Moisture Anomaly Percentage Index （SMAPI） at different soil layers， dry-wet evolution of the source region of the Yellow River （SRYR） during 2008 -2017 are investigated using observations from the Maqu-Ruoergai soil temperature and moisture monitoring network.To diagnose the water vapor transportation path and potential water vapor sources in different processes， the Lagrange Flexible Particle Dispersion Model （FLEXPART）， which is driven by reanalysis data （National Centers for Environmental Prediction Final， NECP FNL）， are used to simulate the backward trajectories of target particles.The results show that the water vapor transportation path can be divided into three categories： （1） South Branch transportation.The water vapor origins from the Indian Ocean and the Arabian Sea， and finally arrives at the SRYR by way of the Indian Peninsula and Bay of Bengal； （2） East Branch transportation.The water vapor is from the Pacific Ocean and the South China Sea， then passes through the Yangtze River Basin， and finally arrives at the SRYR from eastern and southern flank of the Tibetan Plateau； （3） North Branch transportation.The water vapor is from the Atlantic Ocean， the northern African continent， and the European continent， then arrives at the SRYR from the western or northern side of the Tibetan Plateau by way of the mid-latitude Eurasian continent.Moreover， the North Branch is dominant in dry period， whereas the South and East branches are prominent in wet period.The water vapor sources also show discrepancies for dry and wet periods.The water vapor sources of the Tibetan Plateau are mainly distributed around the Kunlun Mountains during wet period， and are scattered distributed from north to south during transitional period， and are located around the Tianshan during dry period.The intensity of the water vapor sources of the Iranian Plateau， Pamir Plateau， and the Bay of Bengal gradually strengthen from wet to dry period， the intensity of the water vapor sources of the Sichuan Basin-Qinling Mountains and south China enhanced first and then weakened， while the source of Qilian Mountain-Loess Plateau weakened after enhanced.The intensity of water vapor sources over the middle and lower reaches of the Yangtze River and around East China has been weakening from the wet period to the dry period.…”
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Endurecimiento combinado en engranajes cilíndricos de dientes rectos. // Combined hardening in cylindrical gears of right teeth. by O. González Quintero, E. Alfonso Brindis

“…<br />The objective of this study is to determine the gear forces and time of Mechanic-thermal Treatment influence in the<br />mechanical properties: micro hardness and depth of work hardening, of the outer layers of spur gears, obtaining a<br />mathematical statistical model that relates the variables before mentioned with the hardness of the superficial layers in steel<br />of medium content of carbon spur gears whose chemical composition belongs together presently with the established ones<br />work.…”
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Feasibility of lowering-in of longitudinally continuous cold-bends by Yanbing WANG, Tong SHI, Haichun LIU, Yihua ZHAO, Qinlong DONG, Shengyi SHA, Mingzhe BU, Hong ZHANG, Hao WANG

“…Methods Taking X80 pipes with a diameter of 1 219 mm and wall thickness of 22 mm as an example, the Finite Element Method (FEM) was used to establish a numerical model for the lowering-in process of longitudinally continuous cold bends into the trench. …”
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Tissue Response and Osteoconductive Properties of Forsterite/Poly Lactic Acid Hybrid Nano-Composite Scaffold in Rat by Parichehr Behfarnia, Paria Biglary, Mohammad Tavakoli, Seyed Mohammad Razavi, Seyed Amir Mirghaderi, Saman Naghieh, Ehsan Foroozmehr, Mahshid Kharazih

“… Objectives: Objectives: The present research aimed to evaluate the potential of three-dimensional (3D) poly lactic acid (PLA) microstrut scaffolds, surface-modified with nanocomposite gelatin-forsterite fibrous layers possessing porosities of 40% and 70%, to facilitate bone regeneration and angiogenesis in a rat model. …”
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Improving crude oil storage tank heating and blending using multiple hot jet sprays: An experimental and numerical study by M. Shahnazari Sani, D.D. Ganji, A. Ramiar, Kh Hoseinzadeh

“…The finite volume method and standard k − ε turbulence model are used to numerically investigate the heat transfer features of crude oil inside the floating roof tank under the hot crude oil jet flow heating mode. …”
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Millennial-scale changes in size and growth of Unio pictorum (L. 1758) and U. tumidus (Philipsson, 1788), in the Oder river by Jarosław Dąbrowski, Przemysław Czerniejewski, Adam Brysiewicz

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Risk factors and subclinical carotid atherosclerosis in rotating scheme conditions in the Arctic by N. P. Shurkevich, A. S. Vetoshkin, L. I. Gapon, A. A. Simonyan

“…Non-specific inflammation in different layers of the vascular wall with the formation of SCA and/or vascular ageing may be the unifying etiopathogenetic factor.…”
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Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach by Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Arpita Howlader, Md. Mahbubur Rahman, Hafiz Md. Hasan Babu, Nitish Biswas, Umme Raihan Siddiqi, Badhan Mazumder

“…Hyperparameter optimization is performed using GridSearchCV for various machine-learning models. Deep learning models, including custom artificial neural networks (ANN1) and convolutional neural networks (CNN1, CNN2), are introduced with hidden layers for improved performance. …”
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Citronella oil-loaded electro-spun single and core-shell nano fibers as sustained repellent systems against Aedes aegypti by Samali Udara Liyanaarachchi, Sanjeewa K. Rodrigo, Nilwala Kottegoda, Veranja Karunaratne, Menaka Hapugoda, Tharaka Ranathunge, Lahiru Udayanga, Dushmantha Adikari

“…To the best of our knowledge, this is the first time neat-citronella oil has been encapsulated at the core of multi-layered nanofibers. Multi-layered encapsulation of essential oils turned out to be very effective in sustaining their repelling activity for longer periods. …”
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Explaining the Comprehensive Human-To-Human Marketig System in the Health Tourism Industry by Ali Pourang, Meysam Shirkhodaie, Mahmood Yahyazadeh far, Mohsen Alizadeh San, Masoomeh Tavangar

“…In this regard, it seems necessary to apply the latest findings and marketing models and localize them in accordance with the conditions of the tourist destination in order to develop this industry. …”
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High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

“…Current semantic segmentation models have limitations in addressing tunnel lining crack, such as high complexity, misidentification, or inability to detect tiny cracks in specific practical scenarios, which is crucial for precise assessment of tunnel lining health. …”
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Sequential replacement of PSD95 subunits in postsynaptic supercomplexes is slowest in the cortex by Katie Morris, Edita Bulovaite, Takeshi Kaizuka, Sebastian Schnorrenberg, Candace T Adams, Noboru Komiyama, Lorena Mendive-Tapia, Seth GN Grant, Mathew H Horrocks

“…Moreover, we extend Crick’s model by suggesting that synapses with slow subunit replacement of protein supercomplexes and long-protein lifetimes are specialized for long-term memory storage and that these synapses are highly enriched in superficial layers of the cortex where long-term memories are stored.…”
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Egg-driven immunosuppression and granuloma zonation in Peyer’s patches of mice with Schistosoma japonicum infection by Linzhu Li, Jing Wu, Guangxu Cao, Jiakai Yao, Yanping Miao, Yanglin Zhuang, Yushen Xiang, Xiaolin Zhong, Yicong Liu, Fubo Chen, Yalei Dai, Yang Dai, Xindong Xu, Qingfeng Zhang

“…We further characterized the cellular composition of intestinal granulomas, revealing a layered distribution of neutrophils, macrophages, T cells, and B cells, with marked neutrophil accumulation. …”
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