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Groundwater quality in the vicinity of a dumpsite in Lagos metropolis,Nigeria

Geography and Sustainability 2023年第4期4卷 379-390页

作者： Carla S.S.Ferreira Onyanta Adama-Ajonye Anosike EIkenna Zahra Kalantari Department of Physical Geography and Bolin Centre for Climate Research Stockholm UniversitySE-10691 StockholmSweden Polytechnic Institute of Coimbr1 Applied Research InstituteRua da Misericórdi1Lagar dos Cortiços-S.Martinho do Bispo3045-093 Coimbr1Portugal Research Centre for Natural Resources Environment and Society(CERNAS)Polytechnic Institute of Coimbr1Bencant13045-601 Coimbr1Portugal Department of Human Geography Stockholm UniversitySE-10691 StockholmSweden University of Lagos Akok1Yab1LagosNigeria Department of Sustainable Development Environmental Science and EngineeringKTH Royal Institute of TechnologySE-10044 StockholmSweden

Inappropriate management of municipal solid waste dumpsites is a major cause of groundwater contamination in developing countries,but the extent of the problem is not *** study investigated groundwater quality in the vicinity of Olusosun dumpsite in Lagos,Nigeria,the most populous city in sub-Saharan *** 2020,monthly groundwater samples were collected in 17 wells and boreholes used as drinking water sources,and analysed for 20 physico-chemical *** between sites and seasons were statistically assessed,together with changes in water quality index(WQI).The results indicated that heavy metals(Pb^(2+),Ni^(+),Mn^(2+),Fe^(2+),Cr^(6+)),cations(Ca^(2+),Mg^(2+),K^(+)),total hardness and pH were the main parameters impairing water *** water quality standards from both the World Health Organization and Nigeria government were exceeded more often in the wet season than in the dry *** groundwater properties were negatively correlated with distance to dumpsite(e.g.,Fe^(2+),Pb^(2+),NO_(3)^(−)).Significant differences between sites were identified,but with no clear spatial *** varied from excellent(6%-24%of the sites over the study period)to unsuitable for drinking water purposes(12%-18%),with good quality prevailing at most sites(35%-47%).Although groundwater quality declined at 24%of the sites over 2020,the results indicated improvements compared with previous *** strategies must be implemented to safeguard public health and the sustainability of water resources.

关键词： Municipal solid waste dumpsite Groundwater quality Seasonal variation Heavy metals Nigeria

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Using an Automatic Identification System (AIS) to Develop Wearable Safety Devices 3rd

Using an Automatic Identification System (AIS) to Develop We...

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3rd EAI International Conference on 6G for Future Wireless Networks, 6GN 2020

作者： Wu, Hsin-Te Tseng, Fan-Hsun Department of Computer Science and Information Engineering National Ilan University Yilan26047 Taiwan Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei10610 Taiwan

ISBN: (纸本)9783030639402

The numbers of people who participate in outdoor activities are increasing;however, it has a certain risk of doing outdoor activities, such as wilderness rescue and losing the force while sailing. Therefore, people performing outdoor activities usually wear relevant safety devices. Currently, most users send emergency alarms through mobile phones;yet, the penetration rate of the fourth generation of broadband cellular network technology (4G Network) is not fully equipped in some rural areas, which causes victims failed to send emergency alarms. This study uses an Automatic Identification System (AIS) to develop a wearable safety device because the transmission range of AIS is wider than other types of systems, and it is easier to prepare essential functions in AIS wearable devices. When a victim presses the panic button, the system will send the alarm with a Global Positioning System (GPS) signal;the system will only detect the GPS location once when pressing the button to reduce power consumption, which avoids additional power consumption while repeating the detection. The research conducted practical experiments and discovered that the method is feasible in real-world applications. © 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Electric power utilization

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Performance Analysis of Clan Updated Grey Wolf Optimization (CU-GWO) based Deep Ensemble Technique for Identifying Sarcasm from Social Media Data

Performance Analysis of Clan Updated Grey Wolf Optimization ...

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Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International Conference on

作者： Geeta Abakash Sahu Manoj Hudnurkar Faculty of Computer Studies (FoCS) Symbiosis Center for Research and Innovation(SCRI) Symbiosis International (Deemed University)(SIU) Pune Maharashtra India Department of Information Technology and Data Science Vidyalankar School of Information Technology (VSIT) Mumbai India Operations and Analytics Symbiosis Centre for Management and Human Resource Development(SCMHRD) Symbiosis International (Deemed University) (SIU) Pune Maharashtra India

Sarcasm is often considered as a prevalent linguistic element in online content that conveys strongly held subjectivity and viewpoints. The detection of sarcasm is a significant consideration over the dominant NLP appliances as sentiment analysis, which is utilizing for advertising and opinion mining is a precious tool for figuring out the people sentiments and attitudes. The proposed approach describes automatic detection of sarcasm as an ease classification of text challenges. This paper aims to develop a sarcasm detection model that categorizes words into either sarcastic or non-sarcastic expressions. Initially, the text input involves processing, here the stop word removal and tokenization process are carried out. Subsequently, various features like information gain, chisquare, mutual information, and symmetrical uncertaintybased features are extracted from the preprocessed data. The curse of dimensionality is a crucial issue, thereby the selection of optimal features is conducted by employing hybrid optimization model called Clan Updated Grey Wolf Optimization (CU-GWO). The optimal features are utilized for sarcasm detection by using ensemble technique. The ensemble techniques involve the classifiers such as NN, SVM, RF and DCNN. The final output of DCNN indicates whether the sarcasm is present. The effectiveness of the proposed approach demonstrated through diverse metrices.

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How Challenge Stress Affects Mental Health among College Students during the COVID-19 Pandemic: The Moderating Role of Self-Efficacy

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International Journal of Mental Health Promotion 2021年第2期23卷 167-175页

作者： Yan Zeng Shaoping Qiu Amin Alizadeh Tiefang Liu The School of Literature and Communication Guangdong Polytechnic Normal UniversityGuangzhou510665China The Department of Engineering Technology&Industrial Distribution Texas A&M UniversityCollege Station77843USA The Department of Educational Administration&Human Resource Development Texas A&M UniversityCollege Station77843USA The School of Educational Science Hunan Normal UniversityChangsha410081China

While a plethora of studies has been conducted to examine stress and its impact on mental health in western countries,research is scarce investigating the relationship between student challenge stress and health illness in the context of Chinese *** studies examined the moderating effect of self-efficacy on the relationship between challenge stress and health *** study attempted to investigate the relationships between these three variables among Chinese college ***,this study focused on examining whether self-efficacy moderated the effect of perceived challenge stress on students’mental ***,the differences were tested between male and female students in terms of these three variables.A sample of 578 Chinese college students was recruited over an approximately 12-week period from 7 Chinese *** online survey link was dis-tributed through *** SPSS version 26 software was used to analyze the *** showed that there is no significant difference between genders in terms of perceived challenge stress,self-efficacy,and students’mental *** addition,challenge stress was positively related to the students’mental health(β=0.35,p<0.01)while there was a negative association between self-efficacy and mental health(β=-0.41,p<0.01).Furthermore,self-efficacy plays a moderating role in the relationship between challenge stress and mental health(β=-0.11,p=0.02).Students with low self-efficacy tend to experience more mental health *** is suggested that Chinese colleges and universities pay more attention to students with low self-efficacy,either through faculty/staff interven-tions or peer *** consider reducing students’academic stress to improve their mental health.

关键词： Challenge stress self-efficacy mental health college students

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applied intelligence with deep learning assisted automated sarcasm recognition in twitter data

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Alexandria Engineering Journal 2025年 128卷 79-91页

作者： Alzaidi, Muhammad Swaileh A. Alsudais, Taghreed Ali Eltahir, Majdy M. Ebad, Shouki A. Alshuhail, Asma Alshahrani, Mohammed Alanazi, Sultan Department of English Language College of Language Sciences King Saud University P. O. Box 145111 Riyadh Saudi Arabia Department of Teaching and Learning College of Education and Human Development Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia Department of Information Systems Applied College at Mahayil King Khalid University Saudi Arabia Center for Scientific Research and Entrepreneurship Northern Border University Arar73213 Saudi Arabia Department of Information Systems College of Computer Sciences & Information Technology King Faisal University Saudi Arabia Computer Department Applied College Najran University Najran66462 Saudi Arabia Department of Computer Science College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz University Al-Kharj16273 Saudi Arabia

Sarcasm is essential in human interaction, particularly on social networking, where individuals share their feelings through criticism, humour, and satire. Sarcasm detection is vital in understanding the context of communication and the sentiment on platforms such as Twitter. This presents sarcasm detection as a complex problem in natural language processing (NLP). The challenges and importance upsurge, particularly in languages such as Arabic and Urdu, where resources for NLP are inadequate. The classical rule-based techniques need to improve performance owing to sarcasm's context-based and subtle nature. On the other hand, the current developments in deep learning (DL) and NLP offer efficient solutions. Therefore, this study presents an applied Intelligence with Deep Learning Assisted Automated Sarcasm Recognition Approach (AIDL-ASRA) on Twitter Data. The presented AIDL-ASRA technique concentrates on identifying sarcastic and non-sarcastic contexts in tweets. In the AIDL-ASRA technique, the initial pre-processing stage is executed with different subprocesses. Next, Global Vectors for Word Representation (GloVe)-based word embedding process occurs. The AIDL-ASRA technique utilizes the Discriminative Deep Belief Networks (DDBN) method for sarcasm recognition. The DBN model's effectiveness is improved using the cat swarm optimization (CSO) model. A set of experiments were involved in evaluating the performance of the AIDL-ASRA method under the Arabic sarcastic dataset comprising 10,000 tweets. The experimental validation of the AIDL-ASRA method attained a superior accuracy value of 91.25 % over existing techniques under distinct measures. © 2025 The Authors

关键词： Sentiment analysis

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(Re)assessing Climate-Smart Agriculture practices for sustainable food systems outcomes in sub-Saharan Africa:The case of Bono East Region,Ghana

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Geography and Sustainability 2023年第2期4卷 112-126页

作者： Philip Tetteh Quarshie Seidu Abdulai Evan D.G.Fraser Deparment of Geography Environment and Geomatics&Guelph Institute of Development StudiesCollege of Social and Applied Human ScienceUniversity of Guelph50 Stone Rd EGuelphON N1H 2W1 Canada Global Agri-Business Solutions INC.54-480 Grey Street BrantfordON N3S 7S5 Canada Deparment of Food Agricultural and Resource Economics Ontario Agriculture CollegeUniversity of Guelph50 Stone Rd EGuelphON N1G 2W1 Canada Department of Geography Environment and Geomatics&Arrell Food InstituteUniversity of Guelph50 Stone Rd EGuelphON N1H 2W1 Canada

This research paper assesses the reality of Climate-Smart Agriculture(CSA)practices’potential to promote the outcomes of sustainable food systems(SFS)within Ghana’s smallholding agriculture *** study demon-strates that rural farmers generally perceive CSA’s contribution to‘food and nutrition security’and‘economic performance’as more important than CSA’s contribution to‘social equity’and‘environmental stewardship’.From a narrow perspective,the study demonstrates that farmers perceive CSA’s potential to‘prevent pest and disease outbreaks’and‘increase human capital information’as the most important contribution of CSA to SFS *** contrast,CSA’s potential to promote environmental stewardship is perceived as the least important among Ghana’s rural *** enormity of displacement of smallholders’perceptions at large is motivated by de-mographic,socioeconomic and ecological ***,the CSA for SFS outcomes narratives is driven by farmers’self-apprise,social networks and other local information dissemination ***,research findings suggest farmers’awareness of CSA practices and interventions is deficient owing to unmet training and information needs for approximately 82%of the CSA practices and *** situation elucidates the dichotomy of CSA practices’narratives as tools for attaining food,nutrition security and economic performance to the detriment of critical issues such as increasing awareness and building farmers’capacity to engage with CSA practices while also managing socio-ecological trade-offs that emerge over time due to engagement with ***(re)orientation is needed across the scale to drive CSA practices and interventions that confine cli-mate adaptation and food production practices within safe planetary boundaries without undermining social,economic,food and nutrition security needs.

关键词： Climate adaptation Climate-Smart Agriculture Ghana Smallholder farmers Sustainable food systems Sub-Saharan Africa

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How Engineering Design Ability Improve via Project-Based Truss Tower STEM Course? 3rd

How Engineering Design Ability Improve via Project-Based Tru...

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3rd International Conference on Innovative Technologies and Learning, ICITL 2020

作者： Yen, Wan-Hsuan Chang, Chi-Cheng Department of Technology Application and Human Resource Development National Taiwan Normal University No. 162 Sec. 1 HePing E. Rd. 106 Taipei Taiwan

ISBN: (纸本)9783030638849

Engineering design ability is critical in today’s society due to the vast development of technology. However, the development of it is not easy. The introduction of STEM (Science-technology-Engineering-Math) and the utilization of PBL (Project-based Learning) seem to promise a bright future in the development of such ability. We adopted Atman’s Engineering Design Process to evaluate the progress that students made after learning from a project-based Truss Tower STEM course. Students were grouped in six to design and construct a light-weight water tower type truss structure that can withstand severe earthquake. 137 students participated in this course and took pre-test as well as post-test. Students demonstrated significant progress in Developing Alternative Solutions and Project Realization. However, students did not show significant progress in Problem Scoping. Our research result echoes earlier research that some of engineering abilities might be trainable in classroom while other abilities might need other development methods. © 2020, Springer Nature Switzerland AG.

关键词： Students

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Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems

arXiv

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arXiv 2022年

作者： Rahman, Chnoor M. Rashid, Tarik A. Ahmed, Aram Mahmood Mirjalili, Seyedali Applied Computer Department College of Medicals and Applied Sciences Charmo University Sulaimany Iraq Computer Science and Engineering Department University of Kurdistan Hewler Erbil Iraq Department of Information Technology Technical College of Informatics Sulaimani Polytechnic University Sulaimany Iraq Department of Information Technology College of Science and Technology University of Human Development Sulaimany Iraq Centre for Artificial Intelligence Research and Optimization Torrens University Australia Yonsei Frontier Lab Yonsei University Seoul Korea Republic of

In this work, a new multiobjective optimization algorithm called multiobjective learner performance-based behavior algorithm is proposed. The proposed algorithm is based on the process of transferring students from high school to college. The proposed technique produces a set of non-dominated solutions. To judge the ability and efficacy of the proposed multiobjective algorithm, it is evaluated against a group of benchmarks and five real-world engineering optimization problems. Additionally, to evaluate the proposed technique quantitatively, several most widely used metrics are applied. Moreover, the results are confirmed statistically. The proposed work is then compared with three multiobjective algorithms, which are MOWCA, NSGA-II, and MODA. Similar to the proposed technique, the other algorithms in the literature were run against the benchmarks, and the real-world engineering problems utilized in the paper. The algorithms are compared with each other employing descriptive, tabular, and graphical demonstrations. The results proved the ability of the proposed work in providing a set of non-dominated solutions, and that the algorithm outperformed the other participated algorithms in most of the cases. © 2022, CC BY-NC-SA.

关键词： Multiobjective optimization

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Implementation and Enabling Artificial Intelligence in Wireless Communication Networks

Implementation and Enabling Artificial Intelligence in Wirel...

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International Conference on Computing for Sustainable Global development (INDIACom)

作者： Rahul Suryawanshi Swati Rawat Charanjeet Singh Harsha Sammangi Shaik Vaseem Akram M. Kalyan Chakravarthi Balaji Institute of Management Human Resource Development (BIMHRD) Sri Balaji University Pune (SBUP) M.M. Institute of Computer Technology & Business Management (MCA) Maharishi Markandeshwar (Deemed to be University) Mullana-Ambala Haryana India Department of Electronics and Communication Deenbandhu Chhotu Ram University of Science and Technology Murthal Dakota State University Uttaranchal Institute of Technology Uttaranchal University School of Electronics Engineering VIT-AP University Amaravathi India

The long-term adaptation of a multi-input multi-output (MIMO) antenna enabling 5 th generation (5G) wireless networks is proposed in this study using artificial intelligence (AI). The monopole-antenna combined with the swappable design mechanism is described in this study. The long-term development-centered MIMO antenna is configured with 4 antennas and is proficient in offering 4 simultaneous datasets, quadrupling the conceptual optimum data throughput, and enabling the ground station to transfer 4 main signals via 4 distinct transmission antennas for specific user hardware. When utilized in conjunction with 5G wireless communication networks, the long-term development of MIMO is intended to employ multi-trial streaming to deliver improvements in signal efficiency, throughput, and spectrum effectiveness. Consequently, the research suggests a long-term development of MIMO 4 transmission antennae having 4 different signal transmitting capacities that operate at a 3.501 Gigahertz frequency. To determine the capability of passive transportation of the numerous antennas employing the varied collection of trends, the laid-out architecture is assessed utilizing a MIMO signal analyzer. The results were found to allow the AI antenna of a wireless communication network to decide which antenna should be implemented in different situations to increase throughput, signal efficiency, and data transmission rate.

关键词： Wireless communication 5G mobile communication Wireless networks Transmitting antennas Transportation Throughput Weaving

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Capnesterones A and B, new steroids isolated from the soft coral Capnella imbricata

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Phytochemistry Letters 2024年 61卷 115-119页

作者： Cheng, Ting-Yu Yang, Chia-Jung Chen, Po-Jen Chen, Yu-Li Peng, Bo-Rong Kung, Te-An Wen, Zhi-Hong Lai, Kuei-Hung Chung, Hsu-Ming Department of Applied Chemistry National Pingtung University Pingtung 900393 Taiwan Clinical Immunology Laboratory Department of Medical Research E-Da Hospital I-Shou University Kaohsiung 824005 Taiwan Research Center for Chinese Herbal Medicine Graduate Institute of Healthy Industry Technology College of Human Ecology Chang Gung University of Science and Technology Taoyuan 33305 Taiwan Graduate Institute of Biomedical Sciences Graduate Institute of Natural Products College of Medicine Chang Gung University Taoyuan 33305 Taiwan Graduate Institute of Pharmacognosy College of Pharmacy Taipei Medical University Taipei 11031 Taiwan Institute of Food Safety Management National Pingtung University of Science and Technology Pingtung 91201 Taiwan Department of Marine Biotechnology and Resources National Sun Yat-sen University Kaohsiung 804201 Taiwan Institute of BioPharmaceutical Sciences National Sun Yat-sen University Kaohsiung 804201 Taiwan PhD Program in Clinical Drug Development of Herbal Medicine College of Pharmacy Taipei Medical University Taipei 11031 Taiwan Traditional Herbal Medicine Research Center Taipei Medical University Hospital Taipei 11031 Taiwan

Two new non-withanolidal steroids with a cross-conjugated dienone structural unit in ring A, capnesterones A (1) and B (2), were isolated from the soft coral Capnella imbricata in the southeast waters of Taiwan. The compounds' structures were elucidated through a comprehensive analysis of spectroscopic data, including IR, ESIMS, ¹H NMR, and ¹³C NMR, and through comparison with previous literature. At a concentration of 10 μM, steroids 1 and 2 exhibited reductions in iNOS levels (60 % and 82 %) compared to LPS-stimulated control cells, along with increased release (134 % and 110 %) against COX-2 protein expressions. © 2024 Phytochemical Society of Europe

关键词： Capnella imbricata COX-2 INOS Steroid

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