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Building Simulation 2024年第5期17卷 839-855页

作者： Pablo Aparicio-ruiz Elena Barbadilla-Martin Jose Guadix Jesus Munuzuri Grupo de Ingenieria de Organizacion Escuela Tecnica Superior de IngenieriaUniversidad de SevillaCamino de los Descubrimientos S/N41092SevilleSpain

Since indoor clothing insulation is a key element in thermal comfort models,the aim of the present study is proposing an approach for predicting it,which could assist the occupants of a building in terms of recommendations regarding their *** that,a systematic analysis of input variables is exposed,and 13 regression and 12 classification machine learning algorithms were developed and *** results are based on data from 3352 questionnaires and 21 input variables from a field study in mixed-mode office buildings in *** temperature at 6 a.m.,indoor air temperature,indoor relative humidity,comfort temperature and gender were the most relevant features for predicting clothing *** comparing machine learning algorithms,decision tree-based algorithms with Boosting techniques achieved the best *** proposed model provides an efficient method for forecasting the clothing insulation level and its application would entail optimising thermal comfort and energy efficiency.

关键词： clothing insulation simulation adaptive thermal comfort behavioural adaptive actions machine learning

Kick-start for metabolomics in liver disease

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World Journal of Hepatology 2024年第9期16卷 1206-1210页

作者： Armando Guerra-ruiz Laboratory Medicine University Hospital Marques de ValdecillaSantander 39008CantabriaSpain Commission on Biochemical Assessment of Liver Disease Spanish Society of Clinical Chemistry(SEQC-ML)Barcelona 08025CataloniaSpain Digestive Diseases Valdecilla Research Institute(IDIVAL)Santander 39011CantabriaSpain

It is not complicated for the clinician to diagnose a patient with advanced fibrosis or liver cirrhosis when he has already presented some decompensation of his liver ***,it is in the earliest stages when the patient's prognosis can be modified the *** liver disease is generally asymptomatic,not invasive markers are of great *** the era of omics,it is time for metabolomics to accompany genomics and proteomics,which are more established in the diagno-stics and prognostics clinical ***,understood as the compre-hensive evaluation of the metabolites present in the organism in a specific phys-iological situation,has undoubted advantages in the study and identification of serum markers relevant to a specific *** year,I read with interest two articles published in this journal:“Baseline metabolites could predict responders with hepatitis B virus-related liver fibrosis for entecavir or combined with FuzhengHuayu tablet”by Dai et al and“Metabolomics in chronic hepatitis C:Decoding fibrosis grading and underlying pathways”by Ferrasi et *** papers illuminate the power of metabolomics to provide us with new tools in the management of liver *** this editorial,I comment on these studies and others,and note how they can contribute to our understanding of liver disease in more than one way.

关键词： Metabolomics Liver disease Biomarkers Hepatology Mass spectrometry Hepatitis Clinical biochemistry

Development of PROTACS degrading KRAS and SOS1

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Oncology Research 2024年第8期32卷 1257-1264页

作者： GERHARD HAMILTON MARIE-THERESE EGGERSTORFER sandra STICKLER Institute of Pharmacology Medical University of ViennaVienna1090Austria

The Kirsten rat sarcoma virus—son of sevenless 1(KRAS-SOS1)axis drives tumor growth preferentially in pancreatic,colon,and lung ***,KRAS G12C mutated tumors can be successfully treated with inhibitors that covalently block the cysteine of the switch II binding pocket of ***,the range of other KRAS mutations is not amenable to treatment and the G12C-directed agents Sotorasib and Adragrasib show a response rate of only approximately 40%,lasting for a mean period of 8 *** approach to increase the efficacy of inhibitors is their inclusion into proteolysis-targeting chimeras(PROTACs),which degrade the proteins of interest and exhibit much higher antitumor activity through multiple cycles of ***,PROTACs have been developed based on KRAS-or SOS1-directed inhibitors coupled to either von Hippel-Lindau(VHL)or Cereblon(CRBN)ligands that invoke the proteasomal *** of these PROTACs show increased activity in vitro and in vivo compared to their cognate inhibitors but their toxicity in normal tissues is not *** CRBN PROTACs containing thalidomide derivatives cannot be tested in experimental *** to such PROTACS arises through downregulation or inactivation of CRBN or factors of the functional VHL E3 ubiquitin *** highly active KRAS and SOS1 PROTACs have been formulated their clinical application remains difficult.

关键词： Proteolysis-targeting chimeras(PROTACs) Kirsten rat sarcoma virus(KRAS) Son of sevenless 1(SOS1) Von Hippel-Lindau Cereblon

Toward sustainable waste management in small islands developing states: integrated waste-to-energy solutions in Maldives context

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Frontiers of Environmental Science & Engineering 2024年第2期18卷 133-148页

作者： Yao Wang Alejandro ruiz-Acevedo Eemaan Rameez Vijaya Raghavan Abid Hussain Xunchang Fei School of Civil and Environmental Engineering Nanyang Technological University50 Nanyang AvenueSingapore 639798Singapore United Nations Office for Project Services(UNOPS) United Nations BuildingBuruzu MaguMale’20184Maldives Department of Bioresource Engineering McGill UniversitySte-Anne-De-BellevueQuebec H9X 3V9Canada Department of Civil and Environmental Engineering Carleton UniversityOttawaOntario K1S 5B6H9X 3V9Canada

Effective waste management is a major challenge for Small Island Developing States (SIDS) like Maldives due to limited land availability. Maldives exemplifies these issues as one of the most geographically dispersed countries, with a population unevenly distributed across numerous islands varying greatly in size and population density. This study provides an in-depth analysis of the unique waste management practices across different regions of Maldives in relation to its natural and socioeconomic context. Data shows Maldives has one of the highest population density and per capita waste generation among SIDS, despite its small land area and medium GDP per capita. Large disparities exist between the densely populated capital Male’ with only 5.8 km2 area generating 63% of waste and the ~194 scattered outer islands with ad hoc waste management practices. Given Male’s dense population and high calorific waste, incineration could generate up to ~30 GW/a energy and even increase Maldives’ renewable energy supply by 200%. In contrast, decentralized anaerobic digestion presents an optimal solution for outer islands to reduce waste volume while providing over 40%–100% energy supply for daily cooking in local families. This timely study delivers valuable insights into designing context-specific waste-to-energy systems and integrated waste policies tailored to Maldives’ distinct regions. The framework presented can also guide other SIDS facing similar challenges as Maldives in establishing sustainable, ecologically sound waste management strategies.

关键词： Anaerobic digestion Waste incineration Waste management Maldives Small Island Developing States Waste-to-energy

Surgical site infection following pancreaticoduodenectomy in a referral cancer center in Mexico

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Hepatobiliary & Pancreatic Diseases International 2024年第5期23卷 502-508页

作者： Rodrigo Villaseñor-Echavarri Javier Melchor-Ruan Mercedes Aranda-Audelo Gabriela Arredondo-saldaña Patricia Volkow-Fernandez Maria del Carmen Manzano-Robleda Alejandro E Padilla-Rosciano Diana Vilar-Compte Department of Infectious Diseases Instituto Nacional de CancerologíaAv.San Fernando 22Belisario Domínguez Secc 16TlalpanMexico CityMexico School of Medicine Universidad PanamericanaAugusto Rodin No.498Insurgentes MixcoacBenito JuárezMexico CityMexico Department of Digestive Tube and Hepatopancreatobiliary Tumors Instituto Nacional de CancerologíaAv.San Fernando 22Belisario Domínguez Secc 16TlalpanMexico CityMexico Department of Infectious Diseases Hospital Manuel Gea GonzálezCalz.de Tlalpan 4800Belisario Domínguez Secc 16TlalpanMexico CityMexico Gastrointestinal and Endoscopy Department Instituto Nacional de CancerologíaAv.San Fernando 22Belisario Domínguez Secc 16TlalpanMexico CityMexico

Background: Pancreaticoduodenectomy is the standard treatment for resectable periampullary cancer. Surgical site infections(SSI) are common complications with increased morbidity. The study aimed to describe the prevalence, risk factors, microbiology, and outcomes of SSI among patients undergoing pancreaticoduodenectomy. Methods: We conducted a retrospective study in a referral cancer center between January 2015 and June 2021. We analyzed baseline patient characteristics and SSI occurrence. Culture results and susceptibility patterns were described. Multivariate logistic regression was used to determine risk factors, proportional hazards model to evaluate mortality, and Kaplan-Meier analysis to assess long-term survival. Results: A total of 219 patients were enrolled in the study;101(46%) developed SSI. Independent factors for SSI were diabetes mellitus, preoperative albumin level, biliary drainage, biliary prostheses, and clinically relevant postoperative pancreatic fistula. The main pathogens were Enterobacteria and Enterococci. Multidrug-resistance rate in SSI was high but not associated with increased mortality. Infected patients had higher odds of sepsis, longer hospital stay and intensive care unit stay, and readmission rate. Neither 30-day mortality nor long-term survival was significantly different between infected and non-infected patients. Conclusions: SSI prevalence among patients undergoing pancreaticoduodenectomy was high and largely caused by resistant microorganisms. Most risk factors were related to preoperative instrumentation of the biliary tree. SSI was associated with greater risk of unfavorable outcomes;however, survival was unaffected.

关键词： Surgical site infection Pancreaticoduodenectomy Pancreatic cancer Endoscopic biliary drainage Biliary prosthesis

Design multifunctional Mg–Zr coatings regulating Mg alloy bioabsorption

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Journal of Magnesium and Alloys 2024年第4期12卷 1461-1478页

作者： Zohra Benzarti Sandesh Itani JoséDavid Castro sandra Carvalho Ana Sofia Ramos University of Coimbra CEMMPREARISEDepartment of Mechanical EngineeringRua Luís Reis Santos3030-788CoimbraPortugal Laboratory of Multifunctional Materials and Applications(LaMMA) Department of PhysicsFaculty of Sciences of SfaxUniversity of SfaxSoukra Road km 3.5B.P.1171Sfax3000Tunisia

Magnesium(Mg)alloys are widely used for temporary bone implants due to their favorable biodegradability,cytocompatibility,hemocompatibility,and close mechanical properties to ***,rapid degradation and inadequate strength limit their *** overcome this,the direct current magnetron sputtering technique is employed for surface coating in Mg-based alloys using various zirconium(Zr)*** approach presents a promising strategy for simultaneously improving corrosion resistance,maintaining biocompatibility,and enhancing strength without compromising *** leveraging Mg’s inherent biodegradability,it has the potential to minimize the need for secondary surgeries,thereby reducing costs and *** paper is a systematic study aimed at understanding the corrosion mechanisms of Mg–Zr coatings,denoted Mg-xZr(x=0–5 at.%).Zr-doped coatings exhibited columnar growth leading to denser and refined structures with increasing Zr *** analysis confirmed the presence of the Mg(00.2)basal plane,shifting towards higher angles(1.15°)with 5 at.%Zr doping due to lattice parameter changes(i.e.,decrease and increase of“c”and“a”lattice parameters,respectively).Mg–Zr coatings exhibited“liquidphilic”behavior,while Young’s modulus retained a steady value around 80 GPa across all ***,the hardness has significantly improved across all samples’coating,reaching the highest value of(2.2±0.3)GPa for 5 at.%*** testing in simulated body fluid(SBF)at 37℃ revealed a significant enhancement in corrosion resistance for Mg–Zr coatings containing 1.0–3.4 at.%*** with the 5 at.%Zr coating which exhibited a corrosion rate of 32 mm/year,these coatings displayed lower corrosion rates,ranging from 1 to 12 mm/*** synergistic enhancement in mechanical properties and corrosion resistance,achieved with 2.0–3.4 at.%Zr,suggests potential ability for reducing stress shielding and controlled degradation performance,and consequentl

关键词： Mg-Zr coatings Magnetron sputtering Nanoindentation Corrosion resistance Bone implants

Selective and Adaptive Incremental Transfer Learning with Multiple Datasets for Machine Fault Diagnosis

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Computers, Materials & Continua 2024年第1期78卷 1363-1379页

作者： Kwok Tai Chui Brij B.Gupta Varsha Arya Miguel Torres-ruiz School of Science and Technology Hong Kong Metropolitan UniversityHong Kong999077China Department of Computer Science and Information Engineering Asia UniversityTaichung41354Taiwan Center for Advanced Information Technology Kyung Hee UniversitySeoul02447Korea Symbiosis Centre for Information Technology Symbiosis International UniversityPuneMaharashtra411042India Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon School of Computing Skyline University CollegeSharjah1797United Arab Emirates Department of Business Administration Asia UniversityTaichung41354Taiwan Center for Interdisciplinary Research University of Petroleum and Energy StudiesDehradun248007India Department of Computer Science&Engineering Chandigarh UniversityChandigarh160036India Centro de Investigación en Computación Instituto Politécnico NacionalUPALM-ZacatencoMexico City07320Mexico

The visions of Industry 4.0 and 5.0 have reinforced the industrial *** have also made artificial intelligence incorporated as a major *** machine faults has become a solid foundation for automatically recognizing machine failure,and thus timely maintenance can ensure safe *** learning is a promising solution that can enhance the machine fault diagnosis model by borrowing pre-trained knowledge from the source model and applying it to the target model,which typically involves two *** response to the availability of multiple datasets,this paper proposes using selective and adaptive incremental transfer learning(SA-ITL),which fuses three algorithms,namely,the hybrid selective algorithm,the transferability enhancement algorithm,and the incremental transfer learning *** is a selective algorithm that enables selecting and ordering appropriate datasets for transfer learning and selecting useful knowledge to avoid negative *** algorithm also adaptively adjusts the portion of training data to balance the learning rate and training *** proposed algorithm is evaluated and analyzed using ten benchmark *** with other algorithms from existing works,SA-ITL improves the accuracy of all *** studies present the accuracy enhancements of the SA-ITL,including the hybrid selective algorithm(1.22%-3.82%),transferability enhancement algorithm(1.91%-4.15%),and incremental transfer learning algorithm(0.605%-2.68%).These also show the benefits of enhancing the target model with heterogeneous image datasets that widen the range of domain selection between source and target domains.

关键词： Deep learning incremental learning machine fault diagnosis negative transfer transfer learning

Brillouin expanded time-domain analysis based on dual optical frequency combs

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Light(Science & Applications) 2024年第8期13卷 1534-1544页

作者： Jae Hyeong Youn Kwang Yong Song Sonia Martin-Lopez Miguel Gonzalez-Herraez María R.Fernández-ruiz Dept.of Physics Chung-Ang UniversitySeoulKorea Dept.of Electronics Universidad de AlcaláMadridSpain

Brillouin Optical Time-Domain Analysis(BOTDA)is a widely-used distributed optical fiber sensing technology employing pulse-modulated pump waves for local information retrieval of the Brillouin gain or loss *** spatial resolution of BOTDA systems is intrinsically linked to pulse duration,so high-resolution measurements demand high electronic bandwidths inversely proportional to the *** paper introduces Brillouin Expanded Time-Domain Analysis(BETDA)as a modified BOTDA system,simultaneously achieving high spatial resolution and low detection *** two optical frequency combs(OFCs)with different frequency intervals as pump and probe,local Brillouin gain spectra are recorded by their spectral beating traces in an expanded time domain.A 2-cm-long hotspot located in a 230m single-mode fiber is successfully measured in the time domain with a detection bandwidth of less than 100 kHz using dual OFCs with tailored spectral phase,line spacing,and bandwidth.

关键词： pump optical fiber

Coffee Leaf Rust(Hemileia vastatrix)Disease in Coffee Plants and Perspectives by the Disease Control

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Phyton-International Journal of Experimental Botany 2024年第5期93卷 923-949页

作者： Alexis Salazar-Navarro Victor ruiz-Valdiviezo Jose Joya-Dávila Daniel Gonzalez-Mendoza Instituto de Ciencias Agrícolas de la Universidad Autónoma de Baja California(ICA-UABC) Nuevo LeónBaja California21705México Laboratorio de Biología Molecular del Instituto Tecnológico Nacional de Tuxtla Gutierrez(TecNM) Tuxtla GutierrezChiapas29050México Facultad de Ciencias Agronómicas Campus V.Universidad Autónoma de Chiapas(UNACH) VillafloresChiapas30470México

Coffee Leaf Rust(CLR)is caused by Hemileia vastatrix in Coffea *** is one of the most dangerous phytopathogens for coffee plantations in terms of coffee productivity and coffee cup *** this review,we resume the problem of CLR in Mexico and the pathogenesis of *** review abord plant-pathogen interactions which lead a compatible or incompatible interactions and result in CLR disease or resistance,*** review abord Coffea *** response pathways involved in *** ***,current measures to control *** proliferation and germination were aborded focused on phytosanitary actions,and biological and chemical ***,new trendlines to reduce the impact of CLR as nanoparticles and nanotechnology were analyzed.

关键词： Coffee leaf rust Coffea arabica pathogenesis nanoparticles biological control

Towards trustworthy multi-modal motion prediction:Holistic evaluation and interpretability of outputs

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CAAI Transactions on Intelligence Technology 2024年第3期9卷 557-572页

作者： sandra Carrasco Limeros Sylwia Majchrowska Joakim Johnander Christoffer Petersson MiguelÁngel Sotelo David Fernández Llorca Computer Engineering Department Polytechnic SchoolUniversity of AlcalaMadridSpain AI Sweden GothenburgSweden Zenseact AB GothenburgSweden Department of Electrical Engineering Linköping UniversityLinköpingSweden Chalmers University of Technology GothenburgSweden European Commission Joint Research CentreSevilleSpain

Predicting the motion of other road agents enables autonomous vehicles to perform safe and efficient path *** task is very complex,as the behaviour of road agents depends on many factors and the number of possible future trajectories can be consid-erable(multi-modal).Most prior approaches proposed to address multi-modal motion prediction are based on complex machine learning systems that have limited ***,the metrics used in current benchmarks do not evaluate all aspects of the problem,such as the diversity and admissibility of the *** authors aim to advance towards the design of trustworthy motion prediction systems,based on some of the re-quirements for the design of Trustworthy Artificial *** focus is on evaluation criteria,robustness,and interpretability of ***,the evaluation metrics are comprehensively analysed,the main gaps of current benchmarks are identified,and a new holistic evaluation framework is ***,a method for the assessment of spatial and temporal robustness is introduced by simulating noise in the perception *** enhance the interpretability of the outputs and generate more balanced results in the proposed evaluation framework,an intent prediction layer that can be attached to multi-modal motion prediction models is *** effectiveness of this approach is assessed through a survey that explores different elements in the visualisation of the multi-modal trajectories and *** proposed approach and findings make a significant contribution to the development of trustworthy motion prediction systems for autono-mous vehicles,advancing the field towards greater safety and reliability.

关键词： autonomous vehicles evaluation interpretability multi-modal motion prediction robustness trustworthy AI