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Nonlinear Study on the Mechanical Performance of Built-Up Cold-Formed Steel Concrete-Filled Columns under Compression

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 3435-3465页

作者： oulfa Harrat Yazid Hadidane S.M.Anas Nadhim Hamah Sor Ahmed Farouk Deifalla Paul o.Awoyera Nadia Gouider Civil Engineering Laboratory Faculty of TechnologyDepartment of Civil EngineeringBadji Mokhtar-Annaba UniversityP.O.Box 12Annaba23000Algeria Department of Civil Engineering Faculty of Engineering and TechnologyJamia Millia Islamia(A Central University)New Delhi110025India Civil Engineering Department University of GarmianKalar46021Iraq Department of Civil Engineering Harran UniversitySanliurfa63510Turkey Structural Engineering and Construction Management Department Future University in EgyptNew Cairo11835Egypt Department of Civil Engineering Covenant UniversityOta112233Nigeria

Given their numerous functional and architectural benefits,such as improved bearing capacity and increased resistance to elastic instability modes,cold-formed steel(CFS)built-up sections have become increasingly developed and used in recent years,particularly in the construction *** paper presents an analytical and numerical study of assembled CFS two single channel-shaped columns with different slenderness and configurations(backto-back,face-to-face,and box).These columns were joined by double-row rivets for the back-to-back and box configurations,whereas they were welded together for the face-to-face *** built-up columns were filled with ordinary concrete of good *** element models were applied,using ABAQUS software,to assess mechanical performance and study the influence of assembly techniques on the behavior of cold-formed columns under axial *** approaches based on Eurocode 3 and Eurocode 4 recommendations for un-filled and concrete-filled columns respectively were followed for the numerical analysis,and concrete confinement effects were also considered per American Concrete Institute(ACI)standards for face-to-face and box *** obtained results indicated a good correlation between the numerical results and the proposed analytical methodology which did not exceed 8%.The failure modes showed that the columns failed due to instabilities such as local and global buckling.

关键词： Cold-formed steel built-up sections slenderness rivets welded axial compression analytical approaches confinement buckling

Apples to oranges:environmentally derived,dynamic regulation of serotonin neuron subpopulations in adulthood?

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Neural Regeneration Research 2025年第09期 2596-2597页

作者： Christopher J.o'Connell Matthew J.Robson Department of Genetics College of Medicine Harvard University James L. Winkle College of Pharmacy Division of Pharmaceutical SciencesUniversity of Cincinnati Neuroscience Graduate Program College of MedicineUniversity of Cincinnati

Traumatic brain injury(TBI) is a public health problem with an undue economic burden that impacts nearly every age,ethnic,and gender group across the globe(Capizzi et al.,2020).TBIs are often sustained during a dynamic range of exposures to energetic environmental forces and as such outcomes are typically heterogeneous regarding severity and pathology(Capizzi et al.,2020).

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Thermochemical co-conversion of biomass-plastic waste to biochar:a review

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Green Chemical Engineering 2024年第1期5卷 31-49页

作者： Adewale George Adeniyi Kingsley o.Iwuozor Ebuka Chizitere Emenike oluwaseun J.Ajala Samuel ogunniyi Kabir B.Muritala Department of Chemical Engineering Faculty of Engineering and TechnologyUniversity of IlorinIlorinP.M.B.1515Nigeria Department of Chemical Engineering Landmark UniversityOmu-AranKwara StateP.M.B.1001Nigeria Department of Pure and Industrial Chemistry Nnamdi Azikiwe UniversityAwkaP.M.B.5025Nigeria Department of Chemistry Federal University of TechnologyBosso CampusMinnaNiger StateP.M.B.65Nigeria

Biomass and plastics are two of the most common municipal solid wastes globally that have continuously placed a burden on the *** is therefore important that they are properly *** coconversion offers a valuable opportunity to recycle biomass and plastics simultaneously into biochar,which reduces the time and cost of recycling them individually while producing a material with a wide range of *** study is a review of published literature that discusses the thermochemical co-processing of biomass and plastic wastes into *** was observed that co-pyrolysis and co-hydrothermal carbonization are the most commonly utilized technologies for this *** characteristics of different biomass and plastics that have been thermochemically converted into biochar were *** properties of the resulting biochar are affected by the feedstock composition,pre-treatment and blending ratio,the reactor’s configuration,reaction temperature,and the presence of a *** studies found that treating the feedstocks separately resulted in a lower yield of biochar than processing them *** biochar created by this procedure has been used as a soil additive and as an adsorbent for water *** perspectives and suggestions,such as the necessity for some technical advancement,biochar’s economic benefits,improved government participation,and raised social awareness,were also *** factors have the potential to propel this field of study to great horizons.

关键词： Biomass Co-pyrolysis Plastic Thermochemical process Valorization

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Machine learning in liver surgery:Benefits and pitfalls

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World Journal of Clinical Cases 2024年第12期12卷 2134-2137页

作者： Rafael Calleja Manuel Durán María Dolores Ayllón Ruben Ciria Javier Briceño Hepatobiliary Surgery and Liver Transplantation Unit Hospital Universitario Reina SofíaMaimonides Biomedical Research Institute of CordobaCórdoba 14004Spain

The application of machine learning(ML)algorithms in various fields of hepatology is an issue of ***,we must be cautious with the *** this letter,based on a published ML prediction model for acute kidney injury after liver surgery,we discuss some limitations of ML models and how they may be addressed in the *** the future faces significant challenges,it also holds a great potential.

关键词： Machine learning Liver surgery Artificial intelligence Random forest Prediction model

What's the Biggest Thing in the Universe?

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英语世界 2024年第7期 127-128页

作者： John o'Reilly

What's the biggest thing in the universe? It sounds like a child's question but scientists have been searching for an answer for over thirty years. Now a team led by Dr Roger Clowes from the University of Central Lancashire believe they have found it. The largest thing in the universe may be a group of seventy-three quasars.

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Development and testing of a high-power S-band klystron at BINP SB RAS

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Nuclear Science and Techniques 2024年第7期35卷 58-67页

作者： A.Levichev A.Barnyakov S.Samoylov D.Nikiforov V.Ivanov M.Arsentyeva D.Chekmenev o.Pavlov I.Pivovarov Budker Institute of Nuclear Physics Lavrentyeva Av.11NovosibirskRussia630090 Novosibirsk State University Pirogova Str.2NovosibirskRussia630090

This paper details the development and testing of the first working prototype of the S-band high-power klystron,accomplished at the Budker Institute of Nuclear Physics,Siberian Branch,Russian Academy of Sciences(BINP SB RAS).Upon testing,the klystron demonstrated the following parameters:an operating frequency of 2856 MHz and a peak power output of 50 *** paper presents the klystron's design,its constituent units,and pertinent processing procedures,along with discussions on the measurement of its parameters.

关键词： Klystron Linear accelerator Electron beam

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Assisted-Living Home

英语世界 2024年第6期 127-128页

作者： John o'Reilly

In the future those who are taking care of old or sick people may get help from the house *** the last few years, new technology, such as the Internet, Wi-Fi and flat TV screens, has changed our homes and the way we live. Now, another technology revolution is happening. A new project at the University of Hertfordshire wants to create a home that supervises people living in it who are weak or elderly.

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Efficient People Detection with Infrared Images

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Journal of Computer and Communications 2024年第4期12卷 31-39页

作者： Maria da Conceição Proença Marine and Environmental Sciences Centre & ARNET Aquatic Research Infrastructure Network Associated Laboratory Department of Physics Faculty of Sciences University of Lisbon Lisbon Portugal

This work focuses on the problem of monitoring the coastline, which in Portugal’s case means monitoring 3007 kilometers, including 1793 maritime borders with the Atlantic ocean to the south and west. The human burden on the coast becomes a problem, both because erosion makes the cliffs unstable and because pollution increases, making the fragile dune ecosystem difficult to preserve. It is becoming necessary to increase the control of access to beaches, even if it is not a popular measure for internal and external tourism. The methodology described can also be used to monitor maritime borders. The use of images acquired in the infrared range guarantees active surveillance both day and night, the main objective being to mimic the infrared cameras already installed in some critical areas along the coastline. Using a series of infrared photographs taken at low angles with a modified camera and appropriate filter, a recent deep learning algorithm with the right training can simultaneously detect and count whole people at close range and people almost completely submerged in the water, including partially visible targets, achieving a performance with F1 score of 0.945, with 97% of targets correctly identified. This implementation is possible with ordinary laptop computers and could contribute to more frequent and more extensive coverage in beach/border surveillance, using infrared cameras at regular intervals. It can be partially automated to send alerts to the authorities and/or the nearest lifeguards, thus increasing monitoring without relying on human resources.

关键词： Beach overload People Counting Border Control People Detection Deep Learning Methods Remote Surveillance

Forgiveness and Chronic Pain: A Cohort Study

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Pain Studies and Treatment 2024年第2期12卷 13-20页

作者： Sheena o’Beirne Dominic Harmon Medical School University of Limerick Limerick Ireland

Background: Chronic pain is a major public health issue. It is a complex condition comprising biological, social and psychological elements, which can be challenging to manage. Forgiveness is a recognised effective intervention in various health conditions. Research has shown promising results using forgiveness as an intervention in the management of pain. This study aims to examine the relationship between forgiveness and other variables in patients suffering from chronic pain in the setting of a chronic pain clinic. Methods: Institutional ethical approval was granted for this study. Patients attending a chronic pain clinic for the first time were invited to complete a questionnaire comprising a brief socio-demographic survey and questionnaires including the Heartland Forgiveness Scale, Hospital Anxiety and Depression Scale, Pain and Anxiety Symptoms Scale and Perceived Injustice. Results: 104 adult patients were included. The mean age was 59 years. Back pain was the most common chronic pain presentation. The Heartland Forgiveness Scale (HFS) was found to have a good internal consistency among the Irish population. This study found that 55% of patients attending the pain clinic were not forgiving. Negative correlations were identified between forgiveness and pain, and forgiveness and injustice. Conclusion: The majority of patients attending a chronic pain clinic were not forgiving as measured on the HFS. There was a negative correlation between forgiveness and pain. The results have shown that forgiveness could be beneficial as a therapeutic intervention among patients attending a chronic pain clinic.

关键词： Forgiveness Chronic Pain Associations