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Comparison of mismatch repair and immune checkpoint protein profile with histopathological parameters in pancreatic,periampullary/ampullary,and choledochal adenocarcinomas

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 875-882页

作者： Arzu Hazal Aydın nesrin Turhan Department of Pathology Aksaray University Aksaray Training and Research HospitalAksaray 68200Turkey Department of Pathology University of Health Sciences Ankara City HospitalAnkara 06800Turkey

BACKGrOUnD Pancreatic,periampullary/ampullary,and choledochal adenocarcinomas are aggressive malignancies with a poor *** checkpoint blockade is a promising treatment option for several tumor types.H long terminal repeatassociating 2(HHLA2),which is analogous to programmed death-ligand 1(PDL1),is a recently discovered member of the B7/cluster of differentiation 28 family and is expressed in many *** To analyze the expression of HHLA2 and its association with the pathologic biomarkers that predict sensitivity to *** ninety-two adenocarcinoma cases located in the pancreas,ampulla,and distal common bile duct were *** study assessed 106 pancreaticoduodenectomy and distal/total pancreatectomy samples that were delivered to Ankara City Hospital between 2019 and *** was conducted to examine the expression of DnA mismatch repair(MMr),PD-L1,and HHLA2 *** Patients with high HHLA2 expression had a higher mean age than those with low *** HHLA2 expression was associated with high perineural ***2 expression was low in pathological stage T3(pT)3 cases and high in pathological stage T1,T2,and T4 *** was no correlation between HHLA2 expression and the expression of MMr proteins and *** Evaluation of HHLA2 expression in microsatellite stable and PD-L1-negative tumors may be useful for predicting the response of individuals to immunotherapy and may serve as a novel therapeutic target for immunotherapy in advanced-stage disease.

关键词： H long terminal repeat-associating 2 Programmed death-ligand 1 Adenocarcinoma Pancreas Ampulla of Vater Distal common bile duct

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Diabetic peripheral neuropathy and neuromodulation techniques:a systematic review of progress and prospects

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neural regeneration research 2025年第8期20卷 2218-2230页

作者： rahul Mittal Keelin McKenna Grant Keith Evan McKenna Joana r.n.Lemos Jeenu Mittal Khemraj Hirani Diabetes research Institute University of Miami Miller School of MedicineMiamiFLUSA Department of Otolaryngology University of Miami Miller School of MedicineMiamiFLUSA Herbert Wertheim College of Medicine Florida International UniversityMiamiFLUSA School of Medicine and Public Health University of WisconsinMadisonWIUSA

neuromodulation for diabetic peripheral neuropathy represents a significant area of interest in the management of chronic pain associated with this *** peripheral neuropathy,a common complication of diabetes,is characterized by nerve damage due to high blood sugar levels that lead to symptoms,such as pain,tingling,and numbness,primarily in the hands and *** aim of this systematic review was to evaluate the efficacy of neuromodulatory techniques as potential therapeutic interventions for patients with diabetic peripheral neuropathy,while also examining recent developments in this *** investigation encompassed an array of neuromodulation methods,including frequency rhythmic electrical modulated systems,dorsal root ganglion stimulation,and spinal cord *** systematic review suggests that neuromodulatory techniques may be useful in the treatment of diabetic peripheral *** the advantages of these treatments will enable physicians and other healthcare providers to offer additional options for patients with symptoms refractory to standard pharmacologic *** these efforts,we may improve quality of life and increase functional capacity in patients suffering from complications related to diabetic neuropathy.

关键词： diabetes mellitus diabetic peripheral neuropathy neuromodulation neurostimulation therapy non-pharmacological treatment pain management

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Sustained adenosine release:revealing its impact on osteogenic signalling pathways of human mesenchymal stromal cells

Engineered Regeneration

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Engineered regeneration 2024年第2期5卷 255-268页

作者： Hadi Hajiali Jane McLaren Cristina Gonzalez-García Salah Abdelrazig Dong-Hyun Kim Matthew J.Dalby Manuel Salmerón-Sánchez Felicity r.A.J.rose School of Pharmacy Nottingham Biodiscovery InstituteUniversity of NottinghamNottinghamUK Healthcare Technologies Institute School of Chemical EngineeringUniversity of BirminghamBirminghamUK Centre for the Cellular Microenvironment University of GlasgowGlasgowUK Centre for Analytical Bioscience Advanced Materials&Healthcare Technologies DivisionSchool of PharmacyUniversity of NottinghamNottinghamUK Marine Microbiomics Program in BiologyDivision of Science and MathematicsNew York University Abu Dhabi(NYUAD)P.O.Box 129188Abu DhabiUnited Arab Emirates

non-healing fractures,a global health concern arising from trauma,osteoporosis,and tumours,can lead to severe ***,integral to cellular energy metabolism,gains prominence in bone regeneration via adeno-sine A2 B receptor *** study introduces a controlled-release system for localized adenosine delivery,fostering human mesenchymal stromal cell(hMSC)differentiation into functional bone *** study investi-gates how the ratio of lactic acid to glycolic acid in microparticles can influence adenosine release and explores the downstream effects on gene expression and metabolic profiles of osteogenic differentiation in hMSCs cultured in growth and osteoinductive *** into adenosine-modulated signalling pathways during MSC differenti-ation,with osteogenic factors,provide a comprehensive understanding of the pathways *** gene expression and metabolic profiles unravels adenosine’s regulatory mechanisms in MSC *** adenosine release from microparticles induces mineralization,synergizing with osteogenic media supplements,showcasing the potential of adenosine for treating critical bone defects and metabolic *** study high-lights the efficacy of a polymeric microparticle-based delivery system,offering novel strategies for bone *** adenosine’s roles and associated signalling pathways advances our comprehension of molecular mech-anisms steering bone regeneration,propelling innovative biomaterial,combined with metabolites,approaches for clinical use.

关键词： Adenosine release Osteogenic signalling pathways Human mesenchymal stromal cells Bone regeneration

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Stochastic ranking Improved Teaching-Learning and Adaptive Grasshopper Optimization Algorithm-Based Clustering Scheme for Augmenting network Lifetime in WSns

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China Communications 2024年第9期21卷 159-178页

作者： n Tamilarasan SB Lenin P Mukunthan nC Sendhilkumar Department of Electronics and Communications Engineering Sri Indu College of Engineering and TechnologyHyderabadTelanganaIndia Department of Electronics and Communications Engineering Sri Manakula Vinayagar Engineering CollegePondicherryIndia

In Wireless Sensor networks(WSns),Clustering process is widely utilized for increasing the lifespan with sustained energy stability during data *** clustering protocols were devised for extending network lifetime,but most of them failed in handling the problem of fixed clustering,static rounds,and inadequate Cluster Head(CH)selection criteria which consumes more *** this paper,Stochastic ranking Improved Teaching-Learning and Adaptive Grasshopper Optimization Algorithm(SrITL-AGOA)-based Clustering Scheme for energy stabilization and extending network *** SrITL-AGOA selected CH depending on the weightage of factors such as node mobility degree,neighbour's density distance to sink,single-hop or multihop communication and residual Energy(rE)that directly influences the energy consumption of sensor *** specific,Grasshopper Optimization Algorithm(GOA)is improved through tangent-based nonlinear strategy for enhancing the ability of global *** the other hand,stochastic ranking and violation constraint handling strategies are embedded into Teaching-Learning-based Optimization Algorithm(TLOA)for improving its exploitation ***,Sr and VCH improved TLOA is embedded into the exploitation phase of AGOA for selecting better CH by maintaining better balance amid exploration and *** results confirmed that the proposed SrITL-AGOA improved throughput by 21.86%,network stability by 18.94%,load balancing by 16.14%with minimized energy depletion by19.21%,compared to the competitive CH selection approaches.

关键词： Adaptive Grasshopper Optimization Algorithm(AGOA) Cluster Head(CH) network lifetime Teaching-Learning-based Optimization Algorithm(TLOA) Wireless Sensor networks(WSns)

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Cognitive function among military veterans with STEM occupations

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Military Medical research 2024年第2期11卷 308-310页

作者： Justin T.McDaniel Kevin n.Hascup Erin r.Hascup Ugochukwu G.Ezigbo Amanda M.Weidhuner Harvey Henson David L.Albright Dale and Deborah Smith Center for Alzheimer's research and trEatment(CArE) Southern Illinois University School of MedicineSpringfieldIL 62794USA STEM Education research Center Southern Illinois UniversityCarbondaleIL 62901USA Department of Political Science The University of AlabamaTuscaloosaAL 35487USA

Dear Editor,There is limited research on the relationship between science,technology,engineering,and mathematics(STEM)occupational history and cognitive function in later life,especially among military veterans,who may be at greater risk for later-life cognitive *** study examines a nationally representative sample of military veterans to address this gap in knowledge.

关键词： Alzheimer's disease Veterans Science technology engineering and mathematics(STEM) Animal fluency test Dementia

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Insider Attack Prevention:LAPUP—Lightweight Authentication Protocol Using PUF

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Journal of Communications and Information networks 2024年第2期9卷 192-206页

作者： Siranjeevi rajamanickam Satyanarayana Vollala n.ramasubramanian Department of Computer Engineering Government Polytechnic CollegeTiruchirappalli 620022India Department of Computer Science and Engineering Dr.Shyama Prasad Mukherjee International Institute of Information Technology-Naya RaipurChhattisgarh 493661India Department of Computer Science and Engineering National Institute of TechnologyTiruchirappalli 620015India

The incredible progress in technologies has drastically increased the usage of Web *** share their credentials like userid and password or use their smart cards to get authenticated by the application *** cards are handy to use,but they are susceptible to stolen smart card attacks and few other notable security *** prefer to use Web applications that guarantee for security against several security attacks,especially insider attacks,which is *** of several existing schemes prove the security pitfalls of the protocols from preventing security attacks,specifically insider *** paper introduces LAPUP:a novel lightweight authentication protocol using physically unclonable function(PUF)to prevent security attacks,principally insider *** PUFs are used to generate the security keys,challenge-response pair(CrP)and hardware signature for designing the *** transmitted messages are shared as hash values and encrypted by the keys generated by *** messages are devoid of all possible attacks executed by any attacker,including insider *** is also free from stolen verifier attacks,as the databases are secured by using the hardware signature generated by *** analysis of the protocol exhibits the strength of LAPUP in preventing insider attacks and its resistance against several other security *** evaluation results of the communication and computation costs of LAPUP clearly shows that it achieves better performance than existing protocols,despite providing enhanced security.

关键词： physically unclonable function(PUF) insiderattacks authenticationkeymanagementserver(AKMS) security

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Enhancing Cybersecurity through AI and ML: Strategies, Challenges, and Future Directions

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Journal of Information Security 2024年第3期15卷 320-339页

作者： Maryam roshanaei Mahir r. Khan natalie n. Sylvester Information Sciences and Technology Department Pennsylvania State University Abington USA

The landscape of cybersecurity is rapidly evolving due to the advancement and integration of Artificial Intelligence (AI) and Machine Learning (ML). This paper explores the crucial role of AI and ML in enhancing cybersecurity defenses against increasingly sophisticated cyber threats, while also highlighting the new vulnerabilities introduced by these technologies. Through a comprehensive analysis that includes historical trends, technological evaluations, and predictive modeling, the dual-edged nature of AI and ML in cybersecurity is examined. Significant challenges such as data privacy, continuous training of AI models, manipulation risks, and ethical concerns are addressed. The paper emphasizes a balanced approach that leverages technological innovation alongside rigorous ethical standards and robust cybersecurity practices. This approach facilitates collaboration among various stakeholders to develop guidelines that ensure responsible and effective use of AI in cybersecurity, aiming to enhance system integrity and privacy without compromising security.

关键词： Artificial Intelligence Machine Learning Cybersecurity Data Privacy and Security Ethical Standards

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In vivo astrocyte reprogramming following spinal cord injury

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neural regeneration research 2024年第3期19卷 487-488页

作者： Yannick n.Gerber Florence E.Perrin MMDn University of MontpellierEPHEINSERMMontpellierFrance Institut Universitaire de France(IUF) ParisFrance

Harmful and helpful roles of astrocytes in spinal cord injury(SCI):SCI induce gradable sensory,motor and autonomic impairments that correlate with the lesion severity and the rostro-caudal location of the injury *** absence of spontaneous axonal regeneration after injury results from neuron-intrinsic and neuron-extrinsic ***,not only adult neurons display limited capability to regrow axons but also the injury environment contains inhibitors to axonal regeneration and a lack of growth-promoting *** other cell populations that respond to the lesion,reactive astrocytes were first considered as only detrimental to spontaneous axonal ***,astrocytes.

关键词： injury impairment programming

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Evaluation of slope stability through rock mass classification and kinematic analysis of some major slopes along nH-1A from ramban to Banihal, north Western Himalayas

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Journal of rock Mechanics and Geotechnical Engineering 2024年第1期16卷 167-182页

作者： Amit Jaiswal A.K.Verma T.n.Singh Department of Civil and Environmental Engineering Indian Institute of Technology PatnaPatna801106India

The network of Himalayan roadways and highways connects some remote regions of valleys or hill slopes,which is vital for India’s socio-economic *** to natural and artificial factors,frequency of slope instabilities along the networks has been increasing over last few *** of stability of natural and artificial slopes due to construction of these connecting road networks is significant in safely executing these roads throughout the *** rock mass classification methods are generally used to assess the strength and deformability of rock *** study assesses slope stability along the nH-1A of ramban district of north Western *** structurally and non-structurally controlled rock mass classification systems have been applied to assess the stability conditions of 14 *** evaluating the stability of these slopes,kinematic analysis was performed along with geological strength index(GSI),rock mass rating(rMr),continuous slope mass rating(CoSMr),slope mass rating(SMr),and Q-slope in the present *** SMr gives three slopes as completely unstable while CoSMr suggests four slopes as completely *** stability of all slopes was also analyzed using a design chart under dynamic and static conditions by slope stability rating(SSr)for the factor of safety(FoS)of 1.2 and 1 respectively.Q-slope with probability of failure(PoF)1%gives two slopes as stable *** slope angle has been determined based on the Q-slope safe angle equation and SSr design chart based on the *** value ranges given by different empirical classifications were rMr(37-74),GSI(27.3-58.5),SMr(11-59),and CoSMr(3.39-74.56).Good relationship was found among rMr&SSr and rMr&GSI with correlation coefficient(r 2)value of 0.815 and 0.6866,***,a comparative stability of all these slopes based on the above classification has been performed to identify the most critical slope along this road.

关键词： rock mass classification Kinematic analysis Slope stability Himalayan road Static and dynamic conditions

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navigating AI Cybersecurity: Evolving Landscape and Challenges

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Journal of Intelligent Learning Systems and Applications 2024年第3期16卷 155-174页

作者： Maryam roshanaei Mahir r. Khan natalie n. Sylvester IST Department Pennsylvania State University Abington Abington USA

The rapid integration of artificial intelligence (AI) into critical sectors has revealed a complex landscape of cybersecurity challenges that are unique to these advanced technologies. AI systems, with their extensive data dependencies and algorithmic complexities, are susceptible to a broad spectrum of cyber threats that can undermine their functionality and compromise their integrity. This paper provides a detailed analysis of these threats, which include data poisoning, adversarial attacks, and systemic vulnerabilities that arise from the AI’s operational and infrastructural frameworks. This paper critically examines the effectiveness of existing defensive mechanisms, such as adversarial training and threat modeling, that aim to fortify AI systems against such vulnerabilities. In response to the limitations of current approaches, this paper explores a comprehensive framework for the design and implementation of robust AI systems. This framework emphasizes the development of dynamic, adaptive security measures that can evolve in response to new and emerging cyber threats, thereby enhancing the resilience of AI systems. Furthermore, the paper addresses the ethical dimensions of AI cybersecurity, highlighting the need for strategies that not only protect systems but also preserve user privacy and ensure fairness across all operations. In addition to current strategies and ethical concerns, this paper explores future directions in AI cybersecurity.

关键词： AI Cybersecurity Adversarial Attacks Defensive Strategies Ethical AI

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