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Articles 3931 - 3960 of 33104
Full-Text Articles in Entire DC Network
Photocatalytic Degradation Of Ciprofloxacin Drug Utilizing Novel Pvdf/Polyaniline/ Lanthanum Strontium Manganate@Ag Composites, Swayam Aryam Behera, Ali Amanat, P. Ganga Raju Achary
Photocatalytic Degradation Of Ciprofloxacin Drug Utilizing Novel Pvdf/Polyaniline/ Lanthanum Strontium Manganate@Ag Composites, Swayam Aryam Behera, Ali Amanat, P. Ganga Raju Achary
Journal of Metals, Materials and Minerals
Poly (vinylidene fluoride) (PVDF) is the first-choice ferroelectric support or membrane material. The lanthanum strontium manganite (LSMO) is a well-known electrode material in the class of the solid oxide fuel cell (SOFC) materials. A set of four polymer composites PVDF-LSMO-PANI(5.0 wt%) with different amount of silver doping were fabricated with the silver nitrate and reducing agent. The characterization of these four novel PVDF based composites were characterized by the XRD, FTIR, SEM, UV-Visible DRS. The present communication highlights: (I) the effect of PANI in the PVDF-LSMO-PANI (PLP) composites towards the photocatalytic degradation of ciprofloxacin drug. (II) the effect of Ag …
The Effect Of Two-Stage Heat Treatment On The Microstructure And Mechanical Properties Of High Chrome Austenitic Manganese Steel, Mohammad Reza Hermawan, Budi Hartono Setiamarga, Ilham Nur Hakim, Rizka Mulia Anggraeni
The Effect Of Two-Stage Heat Treatment On The Microstructure And Mechanical Properties Of High Chrome Austenitic Manganese Steel, Mohammad Reza Hermawan, Budi Hartono Setiamarga, Ilham Nur Hakim, Rizka Mulia Anggraeni
Journal of Metals, Materials and Minerals
In this research, heat-treatment was used to determine changes in the microstructure and mechanical characteristics of austenitic manganese steel equivalent to ASTM A128-C. Carbide formed in as-cast conditions is transformed into dispersed hardened austenite to increase the toughness of the material because it can inhibit dislocation movement. Heat treatment is carried out in two heating stages. The first stage of heating was carried out at a temperature of 625°C with a holding time varying by 2.5, 3.5, and 4.5 h, and the second stage was carried out at a temperature of 1000°C with a constant holding time of 1.5 h. …
Microstructural And Dielectric Characteristics Of The Ce-Doped Bi2femno6, Laxmidhar Sahoo, Swayam Aryam Behera, Rajesh Kumar Singh, Santosh Kumar Parida, Patnala Ganga Raju Achary
Microstructural And Dielectric Characteristics Of The Ce-Doped Bi2femno6, Laxmidhar Sahoo, Swayam Aryam Behera, Rajesh Kumar Singh, Santosh Kumar Parida, Patnala Ganga Raju Achary
Journal of Metals, Materials and Minerals
A double-perovskite material Bi2FeMn0.94Ce0.06O6 (BFMCO) was synthesized by solid state reaction technique and characterized it by various techniques (structural, microstructural, dielectric, impedance and modulus properties). The material has an orthorhombic crystal structure with an average crystallite size of 52.4 nm, as revealed by X-ray diffraction data (XRD). The scanning electron microscope (SEM) image shows the presence of nano rod-shaped grains and well-defined grain boundaries in this material, with an average grain size of 21.8 µm. The Energy dispersive X-ray (EDX) analysis and color mapping confirm the purity and the composition of the material. The dielectric, impedance and modulus properties are …
The Mechanochemistry Of Lanthanum Dihydride (Lah2) With Hydrogen (H2) Using The Ball-Mill Process And The Effect Of Oxidation On The Resulting Products, Andika Widya Pramono, Satrio Herbirowo, Agung Imaduddin, Iwan Dwi Antoro, Heri Nugraha, Hendrik -, Anung Syampurwadi, Ines Hayatun Nufus, Nihayatul Umna, Silvia Farah Diba, Fina Fitratun Amaliyah
The Mechanochemistry Of Lanthanum Dihydride (Lah2) With Hydrogen (H2) Using The Ball-Mill Process And The Effect Of Oxidation On The Resulting Products, Andika Widya Pramono, Satrio Herbirowo, Agung Imaduddin, Iwan Dwi Antoro, Heri Nugraha, Hendrik -, Anung Syampurwadi, Ines Hayatun Nufus, Nihayatul Umna, Silvia Farah Diba, Fina Fitratun Amaliyah
Journal of Metals, Materials and Minerals
The complex behavior of LaH2 during ball milling was investigated in this study, with its mechanical, chemical, and morphological changes explored. The relationship between milling time and hydrogen pressure reduction was uncovered through detailed experiments, reflecting the dynamic nature of the process. A transient yet significant event was observed upon unsealing the milling jar post-milling: the emergence of a minor fire ember, indicative of the interplay between mechanical forces and chemical reactivity within the LaH2 powder. Profound changes in the structure, composition, and shape were unraveled using advanced techniques such as X-ray diffraction (XRD), scanning electron microscopy coupled with energy-dispersive …
Structural, Morphological, Magnetic, And Dielectric Properties Of Copper-Substituted Cuxzn(1-X)Fe2o4 Nanoparticles: Green Synthesis, Gavisiddaiah Harisha, Ramakrishnaiah Thejas, B. Venkatagiriyappa Padmini, Chinnappa Reddy Devaraja, Malalkere Veerappa Murugendrappa, Koppa Mahadevappa Rajashekara
Structural, Morphological, Magnetic, And Dielectric Properties Of Copper-Substituted Cuxzn(1-X)Fe2o4 Nanoparticles: Green Synthesis, Gavisiddaiah Harisha, Ramakrishnaiah Thejas, B. Venkatagiriyappa Padmini, Chinnappa Reddy Devaraja, Malalkere Veerappa Murugendrappa, Koppa Mahadevappa Rajashekara
Journal of Metals, Materials and Minerals
Structural, Magnetic, and Dielectric investigations on the “CuX Zn(1-X) Fe2O4” X with stoichiometry (X=0, 0.3, 0.5, 0.7, and 1) were synthesized by solution combustion method using Aloe Vera extraction. The X-ray diffraction method was utilized to characterize the as-synthesized Cu-Zn ferrites. The results indicated the presence of cubic spinel structure with Fd‒3 m space group, and absence of other contaminates. The lattice parameter was found to increase with the increase in Zinc concentration. The patterns of TEM confirm that the particle is within the nanometer range (35 nm to 50 nm). Magnetic properties investigated by vibrating sample magnetometry, reveal that …
Zno Nanostructures Synthesized By One-Step Sol-Gel Process Using Different Zinc Precursors, Maneerat Songpanit, Kanokthip Boonyarattanakalin, Wisanu Pecharapa, Wanichaya Mekprasart
Zno Nanostructures Synthesized By One-Step Sol-Gel Process Using Different Zinc Precursors, Maneerat Songpanit, Kanokthip Boonyarattanakalin, Wisanu Pecharapa, Wanichaya Mekprasart
Journal of Metals, Materials and Minerals
Zinc oxide (ZnO) nanopowders have been widely applied in electronics, optics and photocatalytic applications depending on their morphological structure. In the bottom-up process, it is conceived that the different zinc precursors may result in different formations of ZnO nanostructures with exceptional morphology. This work focuses on ZnO material synthesized via the facile sol-gel synthesis using different zinc slat precursors, including zinc acetate, zinc nitrate, zinc sulphate, and zinc chloride. All zinc salt precursors were incorporated with sodium hydroxide and hexamethylenetetramine (HMTA) under mild thermal energy with consistent conditions to investigate ZnO formation. The as-prepared samples appeared in white powders with …
Development Of Forming Limit Diagrams For Motorcycle Fuel Tank Made From Aa5754-O Under Deep Drawing, Phiraphong Larpprasoetkun, Jidapa Leelaseat, Aeksuwat Nakwattanaset, Surasak Suranuntchai
Development Of Forming Limit Diagrams For Motorcycle Fuel Tank Made From Aa5754-O Under Deep Drawing, Phiraphong Larpprasoetkun, Jidapa Leelaseat, Aeksuwat Nakwattanaset, Surasak Suranuntchai
Journal of Metals, Materials and Minerals
The research studied forming limit curves (FLC) for aluminum alloy 5754-O (AA5754-O) and modified them using two methods. These methods aimed to create FLCs for application in describing the forming behavior of sheet metal material through a deep drawing process simulation in the PAM-STAMP program. The methods are as follows: The Nakajima test combined with a new method, a novel process for grid creation on the specimen: laser marking combined with elastic paints. A mathematical material model using the fracture model along with the yield criteria: YLD2000-2D and hardening law: Swift-Voce. The Keeler-Brazier modified equation was chosen as the fracture …
Recent Advances In Synthesis And Bio-Applications Of Natural Stabilizers For Metal Nanoparticles, Abhishek Sharma, Navneet Kaur, Ayashkanta Nanda, Manvinder Kaur, Rajeev Sharma, Harvinder Singh Sohal
Recent Advances In Synthesis And Bio-Applications Of Natural Stabilizers For Metal Nanoparticles, Abhishek Sharma, Navneet Kaur, Ayashkanta Nanda, Manvinder Kaur, Rajeev Sharma, Harvinder Singh Sohal
Journal of Metals, Materials and Minerals
Due to their exceptional physicochemical properties, the synthesis and application of metal nano-particles gained significant traction and a grip in industries and scientific fields or regions. However, the thermodynamic instability of metal nanoparticles poses or leads to challenges in their controlled synthesis and stabilization. To address this stability and the immobilization strategies, natural polymers such as cellulose, starch, alginate, chitosan, and hyaluronic acid have been explored for their non-toxic, biodegradable, and environmentally friendly characteristics. Recent advances in nanotechnology have led to an increased focus on these natural polymer’s utilization as effective stabilizers for diverse metal nanoparticles. This review comprehensively examines …
Designing Biphasic Nanocellulose Hydrogels To Mimic The Complex Cartilage-Bone Interface, Sairash Sairash, Sirinee Jirajessada, Supansa Yodmuang
Designing Biphasic Nanocellulose Hydrogels To Mimic The Complex Cartilage-Bone Interface, Sairash Sairash, Sirinee Jirajessada, Supansa Yodmuang
Journal of Metals, Materials and Minerals
Osteochondral lesions, which affect both the cartilage and the bone, present significant challenges in treatment due to the complex mechanical and biochemical properties of these tissues. A crucial consideration in developing tissue replacements for these lesions is the simultaneous regeneration of cartilage and calcified cartilage, which forms the transition zone to bone. Our current study aims to fabricate a bilayer polymeric hydrogel designed not only to support cartilage regeneration but also to serve as an interface between cartilage and bone. The bilayer hydrogel was created by combining oxidized bacterial nanocellulose, gelatin, and alginate in one layer, while the other layer …
Potential Role Of Ttt Complex In Regulating Dna Replication Checkpoint In The Fission Yeast Schizosaccharomyces Pombe, Sankhadip Bhadra
Potential Role Of Ttt Complex In Regulating Dna Replication Checkpoint In The Fission Yeast Schizosaccharomyces Pombe, Sankhadip Bhadra
Browse all Theses and Dissertations
DNA replication can be perturbed by various agents that slow or stall the replication forks, causing replication stress. If undetected, stressed forks may collapse, causing mutagenic DNA damage or cell death. In response to replication stress and DNA damage, the eukaryotic cell activates the DNA replication checkpoint (DRC) and DNA damage checkpoint (DDC) pathways to promote DNA synthesis, repair, and cell survival. The two cell cycle checkpoint pathways are controlled by the protein sensor kinases Rad3 (hATR/scMec1) and Tel1 (hATM/scTel1) in fission yeast, although Tel1 plays a minimal role in checkpoint functions. Rad3 and Tel1 belong to a family of …
Zero-Shot Cross-Lingual Pos Tagging For Filipino, Jimson Paulo Layacan, Isaiah Edri W. Flores, Katrina Bernice M. Tan, Ma. Regina Justina Estuar, Jann Railey E. Montalan, Marlene M. De Leon
Zero-Shot Cross-Lingual Pos Tagging For Filipino, Jimson Paulo Layacan, Isaiah Edri W. Flores, Katrina Bernice M. Tan, Ma. Regina Justina Estuar, Jann Railey E. Montalan, Marlene M. De Leon
Department of Information Systems & Computer Science Faculty Publications
Supervised learning approaches in NLP, exemplified by POS tagging, rely heavily on the presence of large amounts of annotated data. However, acquiring such data often requires significant amount of resources and incurs high costs. In this work, we explore zero-shot cross-lingual transfer learning to address data scarcity issues in Filipino POS tagging, particularly focusing on optimizing source language selection. Our zero-shot approach demonstrates superior performance compared to previous studies, with top-performing fine-tuned PLMs achieving F1 scores as high as 79.10%. The analysis reveals moderate correlations between cross-lingual transfer performance and specific linguistic distances–featural, inventory, and syntactic–suggesting that source languages with …
Leveraging Large Language Models For Enhancing Well-Being In The Digital Age, Xiaobo Guo
Leveraging Large Language Models For Enhancing Well-Being In The Digital Age, Xiaobo Guo
Dartmouth College Ph.D Dissertations
The 21st century has seen dramatic shifts in human interactions with information, peers, and the environment, primarily driven by the proliferation of online platforms and social media. These advancements offer more access to information and global connectivity, but also present challenges such as information overload, misinformation, online harms, and biased reporting that can negatively impact user well-being. This thesis examines the role of Large Language Models (LLMs) — advanced forms of artificial intelligence that understand and generate human-like text — in enhancing well-being in the digital age. The study begins by exploring the potential of LLMs to detect early signs …
Shape Inverse Prediction Of Magnetic Field-Actuated Soft Robots By Neural Network Machine Learning, Lineth J. Perez Monsalve
Shape Inverse Prediction Of Magnetic Field-Actuated Soft Robots By Neural Network Machine Learning, Lineth J. Perez Monsalve
Theses and Dissertations
Soft robotics has drawn tremendous interest in recent years because the compliance and motion of soft robotics enable biocompatibility and versatility for many applications, such as human-machine interaction, wearable and assistive devices, and health monitoring. This study introduces a novel predictive modeling approach using neural networks for shape control of magnetic soft robots. The robots are made of silicone materials embedded with hard magnetic particles, which respond to the external magnetic field provided by a ring-type of permanent magnet. These robots, free from physical connections to external devices, i.e., non-tethered actuation, hold significant potential for applications in healthcare, such as …
Electrochemical-Thermal Model Of A Lithium-Ion Battery, Paul Kalungi
Electrochemical-Thermal Model Of A Lithium-Ion Battery, Paul Kalungi
Browse all Theses and Dissertations
Lithium-ion batteries are an integral component of energy storage systems for renewable energy applications owing to their high energy density. Extensive research has therefore been carried out, utilizing both experimental and computational methods, to aid in a deeper understanding of lithium-ion batteries. Challenges related to efficiency, safety and thermal management persist, particularly during high current draw, extreme temperature conditions and extreme dynamic current operation such as in electric vehicles. This thesis work presents an electrochemical-thermal model of a lithium-ion battery that simulates and analyzes the variation of electrical behavior, chemical behavior and thermal behavior. The electrochemical model is developed by …
A Novel In-Vitro Approach To Investigate The Molecular Interaction Between Inhaled Particles And The Human Pulmonary Surfactant System, Bryan Mayville
A Novel In-Vitro Approach To Investigate The Molecular Interaction Between Inhaled Particles And The Human Pulmonary Surfactant System, Bryan Mayville
Browse all Theses and Dissertations
The deployment of military personnel to austere environments poses significant pulmonary health risks from inhalation of particulates including sand, dust, pollution, and heavy machinery exhaust. When particles are less than 10 µm in diameter, they can penetrate deep within the alveoli and embed within the protective lung surfactant monolayer. Here, absorption of surfactant lipids to the particle surface disrupts the essential monolayer configuration needed to reduce surface tension and prevent atelectasis, thus leading to disease. Currently, there are no in vitro surfactant-producing lung cell models capable of studying the effects of inhaled particles on the human pulmonary surfactant system. A549 …
Anaerobic Reductive Bioleaching Of Manganese Ores, Neha Sharma
Anaerobic Reductive Bioleaching Of Manganese Ores, Neha Sharma
Dissertations, Master's Theses and Master's Reports
Manganese extraction by biological methods is a green and economical way to produce manganese from low as well as high grade manganese ores. This is especially important for US ores, which are primarily either small in extent, low-grade with a high iron content, or both. They are therefore not suitable for conventional mining, which is very capital-intensive and requires a large up-front investment and are therefore imported at high costs. The goal is therefore to develop a process that can be applied at small scales, with minimal startup costs, and low equipment and labor requirements. It is also critical to …
Fostering Corporate Resilience: Assessing Risk Management Committee Effectiveness In Malaysia’S Telecommunication And Media Sector Pre- And During The Covid-19, Flicia Rimin, Siti Rahayu Beli, Anastasiah Harbi, Imbarine Bujang, Jamaliah Said
Fostering Corporate Resilience: Assessing Risk Management Committee Effectiveness In Malaysia’S Telecommunication And Media Sector Pre- And During The Covid-19, Flicia Rimin, Siti Rahayu Beli, Anastasiah Harbi, Imbarine Bujang, Jamaliah Said
ASEAN Journal on Science and Technology for Development
The COVID-19 pandemic has significantly impacted organizations, underscoring the critical role of financial factors in determining performance. Maintaining a healthy financial stance during crises necessitates effective risk management, prompting the exploration of a Risk Management Committee (RMC) as a focal point for addressing risk issues and managing internal controls. A study spanning 2017 to 2021 assessed 11 listed companies in the Telecommunication and Media Sector, revealing that a combined RMC did not enhance financial performance, indicating its ineffectiveness during the crisis. The study advocates for a separate risk management committee due to the audit committee’s limitations in performing both functions. …
Sustainability Innovation, Firm Competitiveness, Export Performance, And Sales Growth: A System Dynamics Approach, Budi Harsanto, Joval Ifghaniyafi Farras, Egi Arvian Firmansyah
Sustainability Innovation, Firm Competitiveness, Export Performance, And Sales Growth: A System Dynamics Approach, Budi Harsanto, Joval Ifghaniyafi Farras, Egi Arvian Firmansyah
ASEAN Journal on Science and Technology for Development
In recent times, the interplay between sustainability innovation, firm competitiveness, export performance, and sales growth has garnered significant attention. Research on sustainable innovation's effects on firm competitiveness, export performance, and sales growth remains limited, especially concerning specific contexts like Halal Micro, Small, and Medium Enterprises (MSMEs). The study proposes to bridge this gap by developing a System Dynamics model that considers firm competitiveness, sales growth, export performance, and sustainable innovation. This research uses the system dynamic method which is carried out in four stages. The first stage, analyzing the system mechanism for sustainable innovation, the second stage, building correlations between …
An Impedance Tube Technique For Estimating The Insertion Loss Of Earplugs, K. Carillo, O. Doutres, F. Sgard
An Impedance Tube Technique For Estimating The Insertion Loss Of Earplugs, K. Carillo, O. Doutres, F. Sgard
Études primaires
This paper proposes a quick and straightforward technique for estimating the insertion loss (IL) of earplugs measured on an acoustical test fixture (ATF) using a commercial impedance tube. In this method, the earplug's acoustic properties (i.e., its transmission loss and the reflection coefficient of its medial surface) are determined from its transfer matrix measured using the three-microphones impedance tube method modified here for the current application. The IL is then estimated using a one-dimensional analytical model of open and occluded earcanals based on the wavefield decomposition theory. The method is evaluated numerically and experimentally from 50 Hz to 6.5 kHz. …
Machine Learning-Driven Quantification Of Co₂ Plume Dynamics At Ibdp Sites Using Microseismic Data, Ikponmwosa Bright Iyegbekedo
Machine Learning-Driven Quantification Of Co₂ Plume Dynamics At Ibdp Sites Using Microseismic Data, Ikponmwosa Bright Iyegbekedo
Graduate Theses, Dissertations, and Problem Reports (ETD)
This thesis delves into the utilization of machine learning methodologies to quantify the spatial extent of CO₂ plumes by leveraging microseismic data obtained from the Illinois Basin Decatur Project (IBDP) site spanning November 2011 to June 2018. This initiative, focused on the geological sequestration of carbon dioxide, furnishes a unique and comprehensive dataset comprising well logs, microseismic activity records, and CO₂ injection metrics, all crucial for quantifying the subsurface CO₂ saturation plume dynamics. The primary objective is to forecast the temporal evolution of CO₂ saturation plumes in the subsurface, a critical undertaking for ensuring both the environmental integrity and operational …
Changes In Psychiatric Diagnosis Associated With Sars-Cov-2 Infection And Predicting The Development Of New Psychiatric Illness In Covid Patients By Using Machine Learning Approach: A Study Using The Us National Covid Cohort Collaborative (N3c), Asif Rahman
Graduate Theses, Dissertations, and Problem Reports (ETD)
The enduring impact of COVID-19 extends beyond acute illness, with potential long-term psychiatric consequences raising significant concern among healthcare professionals and researchers alike. Emerging evidence suggests a multifaceted relationship between COVID-19 and the development of different psychiatric illnesses like Schizophrenia Spectrum and Psychotic Disorders (SSPD), Depression, Bipolar disorder, Personality disorder, Trauma, and a range of other mental health conditions. Considering these emerging connections, our study endeavors to rigorously assess the associations between COVID-19 and various psychiatric illnesses while simultaneously employing machine learning techniques to predict the development of new psychiatric disorders in individuals affected by the virus. Leveraging the extensive …
Implementing Unmanned Aerial Vehicles To Collect Human Gait Data At Distance And Altitude For Identification And Re-Identification, Donn E. Bartram
Implementing Unmanned Aerial Vehicles To Collect Human Gait Data At Distance And Altitude For Identification And Re-Identification, Donn E. Bartram
Graduate Theses, Dissertations, and Problem Reports (ETD)
Gait patterns are a class of biometric information pertaining to the way a person moves and poses. Gait information is unique to each person and can be used to identify and reidentify people. Historically, this task has been achieved through the use of multiple ground-based imaging sensors. However, as Unmanned Aerial Vehicles (UAVs) advance, they present the opportunity to evolve the process of persons identification and re-identification. Collecting human gait data using UAVs at distances ranging from 20m to 500m and altitudes ranging from 0m to 120m is a challenging task. The current biometric data collection methods, primarily designed for …
Laser Deposition Additive Manufacturing Of Multi-Material And Metal-Ceramic Composite Structures, Manikanta Grandhi
Laser Deposition Additive Manufacturing Of Multi-Material And Metal-Ceramic Composite Structures, Manikanta Grandhi
Graduate Theses, Dissertations, and Problem Reports (ETD)
The increasing performance requirements of modern industrial systems, coupled with the imperative for decarbonization, necessitate a fundamental rethinking of metallic component design and manufacturing. Traditional materials, with their inherent limitations in property optimization, susceptibility to degradation, and weight constraints, are proving insufficient. Multi-material joining offers a potential solution, enabling designers to strategically integrate diverse materials with specific, tailored properties into single component. Functionally graded materials (FGMs) and oxide dispersion strengthened (ODS) materials are prime examples of this approach, delivering substantial improvements in wear resistance, thermal regulation, high-temperature resilience, and overall weight efficiency. However, conventional manufacturing approaches further exacerbate the limitations …
Triggered Online System Re-Identification Applied To Model Predictive Control Using Gaussian Processes, Daniel Augusto Kestering
Triggered Online System Re-Identification Applied To Model Predictive Control Using Gaussian Processes, Daniel Augusto Kestering
Graduate Theses, Dissertations, and Problem Reports (ETD)
Safety, product quality, enhanced performance, and increased profit all depend on the control of chemical and energy processes. However, operational issues can lead to control challenges, especially when processes are subject to disturbances during their operation. Process control methods work best when processes operate close to their designed operat- ing conditions, but lack of performance or other issues may occur when the process is far from such conditions. To overcome these challenges, in this dissertation, online model re- identification is proposed for Model Predictive Control (MPC). This involves reassessing the predictive model of an advanced controller, namely MPC, when re-identification …
Multi-Physics Modeling Of Immersion Cooled Electric Power Apparatuses, Reza Ilka
Multi-Physics Modeling Of Immersion Cooled Electric Power Apparatuses, Reza Ilka
Theses and Dissertations--Electrical and Computer Engineering
Electric power conversion apparatuses such as electromagnetic transformers and power electronic converters play a backbone role in the global power and energy industries, such as power transmission and distribution, electrified transportation vehicle systems, industry automation, and the like. To investigate the performance (efficiency, reliability, etc.) of such critical power conversion apparatuses, high-fidelity multi-physics modeling becomes critical which involves dedicated coupling among multiple physical domains, including electrical, magnetic, thermal, mechanical, and material engineering. Nevertheless, the majority of the existing models for these power conversion apparatuses focus only on one or two physical domains, and the modeling fidelity needs to be further …
The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin
The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin
Journal of International Technology and Information Management
Research has extensively studied nonprofit organizations’ use of social media for communications and interactions with supporters. However, there has been limited research examining the impact of social media on charitable giving. This research attempts to address the gap by empirically examining the relationship between the use of social media and charitable giving for nonprofit organizations. We employ a data set of the Nonprofit Times’ top 100 nonprofits ranked by total revenue for the empirical analysis. As measures for social media traction, i.e., how extensively nonprofits draw supporters on their social media sites, we use Facebook Likes, Twitter Followers, and Instagram …
Key Issues Of Predictive Analytics Implementation: A Sociotechnical Perspective, Leida Chen, Ravi Nath, Nevina Rocco
Key Issues Of Predictive Analytics Implementation: A Sociotechnical Perspective, Leida Chen, Ravi Nath, Nevina Rocco
Journal of International Technology and Information Management
Developing an effective business analytics function within a company has become a crucial component to an organization’s competitive advantage today. Predictive analytics enables an organization to make proactive, data-driven decisions. While companies are increasing their investments in data and analytics technologies, little research effort has been devoted to understanding how to best convert analytics assets into positive business performance. This issue can be best studied from the socio-technical perspective to gain a holistic understanding of the key factors relevant to implementing predictive analytics. Based upon information from structured interviews with information technology and analytics executives of 11 organizations across the …
Does Personality Traits And Security Habits Influence Security Of Personal Identification Numbers? The Context Of Mobile Money Services In Tanzania., Daniel Ntabagi Koloseni
Does Personality Traits And Security Habits Influence Security Of Personal Identification Numbers? The Context Of Mobile Money Services In Tanzania., Daniel Ntabagi Koloseni
Journal of International Technology and Information Management
Security is an important ingredient in financial transactions; as such, it is imperative that attention should be paid to enhancing the security habits and user behaviours of mobile payment services. Establishing a link between security habits, personality characteristics, and security behaviours provides a new dimension to studying security behaviours regarding mobile money services. Therefore, this study investigates how personality traits affect security behaviours and habits and how security habits mediate the link between personality traits and PIN security practices. The study found that conscientiousness, openness to experience, extroversion and security habits influence PIN security practices, while conscientiousness, agreeableness, and neuroticism …
Media And Internet Censorship In India: A Study Of Its History And Political-Economy, Ramesh Subramanian
Media And Internet Censorship In India: A Study Of Its History And Political-Economy, Ramesh Subramanian
Journal of International Technology and Information Management
The Indian Constitution, which came into force on January 26, 1950, guarantees various fundamental rights, such as the freedom of speech and expression, freedom of religion, rights to form association, as well as rights to privacy. Yet, since the adoption of the Constitution, the Indian citizen has been subject to varying degrees of media censorship and surveillance. This paper seeks to delve into the historical evolution of media and Internet censorship and surveillance in India. It shows how media censorship of varying types have existed since the British colonists introduced restrictive laws in order to expand and control the native …
Activities Tailoring Within Agile Scrum Roles: A Case Of Nigerian Healthcare Information Systems Development, Yazidu Salihu, Julian Bass, Gloria Iyawa
Activities Tailoring Within Agile Scrum Roles: A Case Of Nigerian Healthcare Information Systems Development, Yazidu Salihu, Julian Bass, Gloria Iyawa
Journal of International Technology and Information Management
Developing quality agile healthcare information systems requires understanding regulatory compliance and evolving healthcare needs through activities tailored within agile scrum roles. Agile scrum, a widely adopted philosophy, offers significant advantages in managing software development processes. This research explores how activities within the agile scrum roles are tailored to agile healthcare information systems development within the Nigerian context. This study adopted a qualitative case study methodology and interviewed 12 agile practitioners developing healthcare information systems within Nigeria using semi-structured open-ended interview guide questions. The practitioners were selected based on a snowballing process, a sunset of purposive sampling techniques from our network …