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Neuroprotective effects of tadalafil on gerbil dopaminergic neurons following cerebral ischemia

Neural Regeneration Research 2013年第8期8卷 693-701页

作者： kwang taek kim Kyung Jin Chung Han Sae Lee Il Gyu Ko Chang Ju kim Yong Gil Na Khae Hawn kim Department of Urology Gachon University Gil Medical CenterGachon University Department of Physiology College of MedicineKyung Hee University Department of Urology Chungnam National University HospitalChungnam National University School of Medicine

Impairment of dopamine function, which is known to have major effects on behaviors and cognition, is one of the main problems associated with cerebral ischemia. Tadalafil, a long-acting phosphodiesterase type-5 inhibitor, is known to ameliorate neurologic impairment induced by brain injury, but not in dopaminergic regions. We investigated the neuroprotective effects of treatment with tadalafil on cyclic guanosine monophosphate level and dopamine function following cerebral ischemia. Forty adult Mongolian gerbils were randomly and evenly divided into five groups （n = 8 in each group）： Sham-operation group, cerebral ischemia-induced and 0, 0.1, 1, and 10 mg/kg tadalafil-treated groups, respectively. Tadalafil dissolved in distilled water was administered orally for 7 consecutive days, starting 1 day after surgery. Cyclic guanosine monophosphate assay and immunohistochemistry were performed for thyrosine hydroxylase expression and western blot analysis for dopamine D2 receptor expression. A decrease in cyclic guanosine monophosphate level following cerebral ischemia was found with an increase in thyrosine hydroxylase activity and a decrease in dopamine D2 receptor expression in the striatum and substantia nigra region. However, treatment with tadalafil increased cyclic guanosine monophosphate expression, suppressed thyrosine hydroxylase expression and increased dopamine 92 receptor expression in the striatum and substantia nigra region in a dose-dependent manner. Tadalafil might ameliorate cerebral ischemia-induced dopaminergic neuron injury. Therefore, tadalafil has the potential as a new neuroprotective treatment strategy for cerebral ischemic injury.

关键词： neural regeneration brain injury cerebral ischemia Tadalafil phosphodiesterase type-5 inhibitor dopamine dopamine D2 receptor cyclic guanosine monophosphate grants-supported paper photographs-containing paper neuroregneration

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Effect of tamsulosin on ejaculatory function in BPH/LUTS

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Asian Journal of Andrology 2011年第6期13卷 846-850页

作者： Sang Hoon Song Hwancheol Son kwang taek kim Sae Woong kim Du Geon Moon Ki Hak Moon kwangsung Park Jong Kwan Park Sung-Won Lee Jae Seog Hyun Nam Cheol Park Jeungpyung Health Center Jeungpyung-gun Chungbuk 368-900 Korea Department of Urology Seoul Metropolitan Boramae Hospital Seoul 156-707 Korea Aerospace Medical Center Cheongwon Chungbuk 363-840 Korea Catholic University of Korea College of Medicine Seoul 137-701 Korea Korea University College of Medicine Seoul 152-703 Korea Department of Urology Yeungnam University College of Medicine Daegu 705-717 Korea Department of Urology Chonnam National University Medical School Gwangju 501-757 Korea Department of Urology Medical School and Institute for Medical Sciences Chonbuk National University Chonbuk 561-712 Korea Research Institute of Clinical Medicine and CTC for Medical Device of Chonbuk National University Hospital Chonbuk 561-712 Korea Samsung Medical Center Sungkyunkwan University School of Medicine Seoul 135-710 Korea Gyeongsang National University Gyeongnam 660-702 Korea pusan National University College of Medicine Pusan 602-739 Korea

This study was undertaken to determine the impact on ejaculatory function of tamsulosin （0.2 mg） given once daily （OD） for 12 weeks and to identify risk factors for ejaculatory dysfunction in patients undergoing this treatment. Males with an International Prostatic Symptom Score （IPSS） ≥ 8 were enrolled in this study. All participants completed questionnaires, including the IPSS and the Male Sexual Health Questionnaire （MSHQ）, and serum prostate-specific antigen, transrectal ultrasound and uroflowmetry with post-void residual were measured. After initiating 0.2 mg OD tamsulosin, patients were re-evaluated on the fourth and twelfth weeks of medication. The chi-squared test, the independent t-test and one-way ANOVA were used to compare means. Binary logistic regression analysis was used to calculate the odds ratio for all risk factors. A total of 177 men constituted the study cohort. No significant difference was observed between baseline and follow-up for the erectile function, ejaculatory function, satisfaction, sexual activity and desire domains （EFD, EjFD, SDA and ADD） or for erectile or ejaculatory bother mean scores. After 12 weeks, the overall incidence of ejaculatory dysfunction （EjD） was 13.4%. Incidences of the seven different types of EjD （decreased frequency, delay, dryness, decreased strength/force, decreased volume, decreased pleasure and pain at ejaculation） were 2.4%, 3.1%, 3.9%, 3.9%, 6.3%, 7.1% and 3.1%, respectively. Baseline EjFD scores were higher for I PSS responders than for non-responders （26.09 vs. 24.06, P=0.03）. An EjFD score reduction was more frequent in IPSS responders. The incidence of EjD was small, but not negligible and was more frequent in patients with less lower urinary tract symptoms, a smaller prostate, higher baseline MSHQ totals and higher EjFD scores.

关键词： alpha-1 adrenergic receptors benign prostatic hyperplasia ejaculation lower urinary tract symptom Male Sexual HealthQuestionnaire prostatic hyperplasia tamsulosin

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Two-stage dynamic recrystallization and texture evolution in Al-7Mg alloy during hot torsion

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International Journal of Minerals,Metallurgy and Materials 2024年第8期31卷 1900-1911页

作者： kwang Tae Son Chang Hee Cho Myoung Gyun kim Ji Woon Lee School of Mechanical Industrialand Manufacturing EngineeringOregon State UniversityCorvallis OR 97331USA Department of Materials Science Engineering Northwestern UniversityEvanston IL 60208USA Research Institute of Industrial Science and Technology(RIST) Pohang 37673Rep.of Korea Division of Advanced Materials Engineering Kongju National UniversityCheonan 31080Rep.of Korea Center for Advanced Materials and Parts of Powders Kongju National UniversityCheonan 31080Rep.of Korea

Hot torsion tests were performed on the Al-7Mg alloy at the temperature ranging from 300 to 500℃ and strain rates between 0.05 and 5 s^(-1) to explore the progressive dynamic recrystallization(DRX)and texture *** DRX behavior of the alloy manifested two distinct stages:Stage 1 at strain of≤2 and Stage 2 at strains of≥*** Stage 1,there was a slight increase in the DRXed grain fraction(X_(DRX))with predominance of discontinuous DRX(DDRX),followed by a modest change in X_(DRX) until the transition to Stage *** 2 was marked by an accelerated rate of DRX,culminating in a substantial final X_(DRX) of~*** backscattered diffraction(EBSD)analysis on a sample in Stage 2 revealed that continuous DRX(CDRX)predominantly occurred within the(121)[001]grains,whereas the(111)[110]grains underwent a geometric DRX(GDRX)evolution without a noticeable sub-grain ***,a modified Avrami’s DRX kinetics model was utilized to predict the microstructural refinement in the Al-7Mg alloy during the DRX *** this kinetics model did not accurately capture the DDRX behavior in Stage 1,it effectively simulated the DRX rate in Stage *** texture index was employed to assess the evolution of the texture isotropy during hot-torsion test,demonstrating significant improvement(>75%)in texture randomness before the commencement of Stage *** initial texture evolution is attributed to the rotation of parent grains and the substructure evolution,rather than to an increase in X_(DRX).

关键词： Al-7Mg alloys hot deformation hot torsion tests dynamic recrystazlliation microstructure texture

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Artificial intelligence in physiological characteristics recognition for internet of things authentication

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Digital Communications and Networks 2024年第3期10卷 740-755页

作者： Zhimin Zhang Huansheng Ning Fadi Farha Jianguo Ding kim-kwang Raymond Choo School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083China Faculty of Informatics Engineering Aleppo UniversityAleppoSyria Department of Computer Science Blekinge Institute of Technology37179KarlskronaSweden Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249-0631USA

Effective user authentication is key to ensuring equipment security,data privacy,and personalized services in Internet of Things(IoT)***,conventional mode-based authentication methods(e.g.,passwords and smart cards)may be vulnerable to a broad range of attacks(e.g.,eavesdropping and side-channel attacks).Hence,there have been attempts to design biometric-based authentication solutions,which rely on physiological and behavioral *** characteristics need continuous monitoring and specific environmental settings,which can be challenging to implement in ***,we can also leverage Artificial Intelligence(AI)in the extraction and classification of physiological characteristics from IoT devices processing to facilitate ***,we review the literature on the use of AI in physiological characteristics recognition pub-lished after *** use the three-layer architecture of the IoT(i.e.,sensing layer,feature layer,and algorithm layer)to guide the discussion of existing approaches and their *** also identify a number of future research opportunities,which will hopefully guide the design of next generation solutions.

关键词： Physiological characteristics recognition Artificial intelligence Internet of things Biological-driven authentication

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Network traffic classification:Techniques,datasets,and challenges

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Digital Communications and Networks 2024年第3期10卷 676-692页

作者： Ahmad Azab Mahmoud Khasawneh Saed Alrabaee kim-kwang Raymond Choo Maysa Sarsour College of Information Technology and Systems Victorian Institute of TechnologyAustralia College of Engineering Al Ain UniversityAbu DhabiUnited Arab Emirates Information Systems and Security College of ITUnited Arab Emirates UniversityAl Ain15551United Arab Emirates Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78260USA School of Photovoltaic and Renewable Energy Engineering University of New South WalesSydneyNSW2052Australia

In network traffic classification,it is important to understand the correlation between network traffic and its causal application,protocol,or service group,for example,in facilitating lawful interception,ensuring the quality of service,preventing application choke points,and facilitating malicious behavior *** this paper,we review existing network classification techniques,such as port-based identification and those based on deep packet inspection,statistical features in conjunction with machine learning,and deep learning *** also explain the implementations,advantages,and limitations associated with these *** review also extends to publicly available datasets used in the ***,we discuss existing and emerging challenges,as well as future research directions.

关键词： Network classification Machine learning Deep learning Deep packet inspection Traffic monitoring

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Anomaly Detection Using Data Rate of Change on Medical Data

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Computers, Materials & Continua 2024年第9期80卷 3903-3916页

作者： kwang-Cheol Rim Young-Min Yoon Sung-Uk kim Jeong-In kim AI Convergence Research Institute Chosun UniversityGwangju61452Republic of Korea Interdisciplinary Program of Architectural Studies Chonnam UniversityGwangju61186Republic of Korea AINTCHAIN SOFT Co. Ltd.Mokpo-si58750Republic of Korea BK21 Human Resources Development Project Group Chosun UniversityGwangju61452Republic of Korea

The identification and mitigation of anomaly data,characterized by deviations from normal patterns or singularities,stand as critical endeavors in modern technological landscapes,spanning domains such as Non-Fungible Tokens(NFTs),cyber-security,and the burgeoning *** paper presents a novel proposal aimed at refining anomaly detection methodologies,with a particular focus on continuous data *** essence of the proposed approach lies in analyzing the rate of change within such data streams,leveraging this dynamic aspect to discern anomalies with heightened precision and *** empirical evaluation,our method demonstrates a marked improvement over existing techniques,showcasing more nuanced and sophisticated result ***,we envision a trajectory of continuous research and development,wherein iterative refinement and supplementation will tailor our approach to various anomaly detection scenarios,ensuring adaptability and robustness in real-world applications.

关键词： Anomaly data anomaly detection medical anomaly data cyber security rate of change

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Survey on digital twins for Internet of Vehicles:Fundamentals,challenges,and opportunities

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Digital Communications and Networks 2024年第2期10卷 237-247页

作者： Jiajie Guo Muhammad Bilal Yuying Qiu Cheng Qian Xiaolong Xu kim-kwang Raymond Choo School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Department of Computer Engineering Hankuk University of Foreign StudiesGyeonggi-do17035South Korea Jiangsu Hydraulic Research Institute Nanjing210044China Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249-0631USA

As autonomous vehicles and the other supporting infrastructures(e.g.,smart cities and intelligent transportation systems)become more commonplace,the Internet of Vehicles(IoV)is getting increasingly *** have been attempts to utilize Digital Twins(DTs)to facilitate the design,evaluation,and deployment of IoV-based systems,for example by supporting high-fidelity modeling,real-time monitoring,and advanced predictive ***,the literature review undertaken in this paper suggests that integrating DTs into IoV-based system design and deployment remains an understudied *** addition,this paper explains how DTs can benefit IoV system designers and implementers,as well as describes several challenges and opportunities for future researchers.

关键词： Internet of vehicles Digital twin Simulation Traffic systems

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Understanding of the Relationship between the Properties of Cu(In,Ga)Se_(2)Solar Cells and the Structure of Ag Network Electrodes

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Energy & Environmental Materials 2024年第6期7卷 246-253页

作者： Hyesun Yoo Hoang Van Quy Inpyo Lee Seung taek Jo Tae Ei Hong JunHo kim Dae-Hwang Yoo Jinwook Shin Walter Commerell Dae-Hwan kim Jong Wook Roh Regional Leading Research Center(RLRC)of Smart Energy System Kyungpook National UniversityGyeongsangbuk-do 37224Korea Division of Energy Technology DaeguGyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Korea Department of Hydrogen and Renewable Energy Kyungpook National UniversityDaegu 47922Korea Nano Photoelectronic Device Lab Department of PhysicsIncheon National UniversityIncheon 22012Korea Institute for Energy and Drive Technology Technische Hochschule Ulm(THU)Ulm 89081Germany Department of Nano&Advanced Materials Science and Engineering Kyungpook National UniversityGyeongsangbuk-do 37224Korea

The relation between the structure of the silver network electrodes and the properties of Cu(In,Ga)Se_(2)(CIGS)solar cells is systemically *** Ag network electrode is deposited onto an Al:ZnO(AZO)thin film,employing a self-forming cracked *** control over the cracked template's structure is achieved through careful adjustment of temperature and *** Ag network electrodes with different coverage areas and network densities are systemically applied to the CIGS solar *** is revealed that predominant fill factor(FF)is influenced by the figure of merit of transparent conducting electrodes,rather than sheet resistance,particularly when the coverage area falls within the range of 1.3–5%.Furthermore,a higher network density corresponds to an enhanced FF when the coverage areas of the Ag networks are *** utilizing a thinner AZO film,CIGS solar cells with a surface area of 1.0609 cm^(2)exhibit a notable performance improvement,with efficiency increasing from 10.48%to 11.63%.This enhancement is primarily attributed to the increase in FF from 45%to 65%.These findings underscore the considerable potential for reducing the thickness of the transparent conductive oxide(TCO)in CIGS modules with implications for practical applications in photovoltaic technology.

关键词： CIGS large-area solar cell metal mesh metallic network transparent electrode

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Impact of Transition Metal Layer Vacancy on the Structure and Performance of P2 Type Layered Sodium Cathode Material

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Nano-Micro Letters 2024年第11期16卷 340-358页

作者： Orynbay Zhanadilov Sourav Baiju Natalia Voronina Jun Ho Yu A.-Yeon kim Hun‑Gi Jung Kyuwook Ihm Olivier Guillon Payam Kaghazchi Seung‑taek Myung Department of Nanotechnology and Advanced Materials Engineering and Sejong Battery Institute Hybrid Materials Research CenterSejong University98 Gunja‑DongGwangjin‑GuSeoul 05006South Korea Institute of Energy and Climate Research‑Materials Synthesis and Processing(IEK‑1) Forschungszentrum Jülich GmbH52425 JülichGermany Center for Energy Storage Research Korea Institute of Science and TechnologySeoul 02792South Korea KIST‑SKKU Carbon‑Neutral Research Center Sungkyunkwan UniversitySuwon 16419South Korea Department of Energy Science Sungkyunkwan UniversitySuwon 16419South Korea Pohang Accelerator Laboratory 80 Jigokro‑127‑BeongilNam‑GuPohangGyeongbuk 37673South Korea MESA+Institute for Nanotechnology University of Twente7500 AE EnschedeThe Netherlands

This study explores the impact of introducing vacancy in the transition metal layer of rationally designed Na_(0.6)[Ni_(0.3)Ru_(0.3)Mn_(0.4)]O_(2)(NRM)cathode *** incorporation of Ru,Ni,and vacancy enhances the structural stability during extensive cycling,increases the operation voltage,and induces a capacity increase while also activating oxygen redox,respectively,in Na_(0.7)[Ni_(0.2)V_(Ni0.1)Ru_(0.3)Mn_(0.4)]O_(2)(V-NRM)*** analytical techniques including transmission electron microscopy,X-ray absorption near edge spectroscopy,operando X-ray diffraction,and operando differential electrochemical mass spectrometry are employed to assess changes in the average oxidation states and structural *** results demonstrate that V-NRM exhibits higher capacity than NRM and maintains a moderate capacity retention of 81%after 100 ***,the formation of additional lone-pair electrons in the O 2p orbital enables V-NRM to utilize more capacity from the oxygen redox validated by density functional calculation,leading to a widened dominance of the OP4 phase without releasing O_(2) *** findings offer valuable insights for the design of advanced high-capacity cathode materials with improved performance and sustainability in sodium-ion batteries.

关键词： Layered oxide Oxygen evolution Sodium battery Vacancy Cathode

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TMAS:A transaction misbehavior analysis scheme for blockchain

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Blockchain(Research and Applications) 2024年第3期5卷 42-52页

作者： Shiyong Huang Xiaohan Hao Yani Sun Chenhuang Wu Huimin Li Wei Ren kim-kwang Raymond Choo School of Computer Science China University of GeosciencesWuhan430074China Artificial Intelligence Thrust Information HubHong Kong University of Science and TechnologyGuangzhou511400China Yunnan Key Laboratory of Blockchain Application Technology Yunnan Innovation Institute of Beihang UniversityKunming650233China Fujian Key Laboratory of Financial Information Processing Putian UniversityPutian351100China Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX 78249-0631USA

Blockchain-based cryptocurrencies,such as Bitcoins,are increasingly ***,the decentralized and anonymous nature of these currencies can also be(ab)used for nefarious activities such as money laundering,thus reinforcing the importance of designing tools to effectively detect malicious transaction *** this paper,we propose TMAS,a transaction misbehavior analysis scheme for blockchain-based ***,the proposed system includes ten features in the transaction graph,two heuristic money laundering models,and an analysis method for account linkage,which identifies accounts that are distinct but controlled by an identical *** evaluate the effectiveness of our proposed indicators and models,we analyze 100 million transactions and compute transaction features,and are able to identify a number of suspicious ***,the proposed methods can be applied to other cryptocurrencies,such as token-based cryptocurrencies(e.g.,Bitcoins)and account-based cryptocurrencies(e.g.,Ethereum).

关键词： Blockchain Anti-money laundering Bitcoin Cyptocurrency

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