Digital Commons Network^™

Review Of Water Brings No Harm: Management Knowledge And The Struggle For Waters Of Kilimanjaro, Maxmillian J. Chuhila

Zamani: A Journal of African Historical Studies

Water Brings No Harm is a key text that enables readers to understand the competing claims to resource control between government authorities and local communities on the ground. Scholarship on the relationship between local knowledge and expert knowledge in resource management and control suggests an asymmetrical relationship in which expert opinion assumes the primary responsibility.1 Bender contrasts traditional and imposed systems of resource ownership and management, arguing that there has been a struggle from both sides, as each side believes it has a rightful claim to ownership and management of water source.

Review Of Decolonising Sociology: An Introduction, Armstrong K. Matogwa

Zamani: A Journal of African Historical Studies

Decolonizing Sociology is one of the few works in sociology that makes critical assessment of the discipline. It is a kind of self-critique within the discipline that aims to reveal epistemic setbacks that have existed for decades. To arrive to the point, Meghji, has situated his thesis along decolonial sociology, which interrogates dominant sociological theories in the context of imperialism. By so doing, he makes three main arguments as follows; first, what is called sociology is colonial in nature as it is based on the ideas of the Western thinkers namely Marx, Durkheim and Weber which emerged and institutionalized during …

Shalom In Social Media Marketing Shalom In Social Media Marketing, Jill R. Risner, Thomas Betts

University Faculty Publications and Creative Works

This paper will examine social media and the ways in which it currently does and does not contribute to shalom through an examination of both the platforms themselves as well as the content shared through them. As Christ’s ambassadors in the world and the primary funders of social media, marketers have power and an obligation to consider social media’s impact on shalom in the world and to use it in ways that contribute to shalom. This paper will provide several recommendations of how marketers can do this including posting content that intentionally contributes to shalom, engaging on platforms that support …

Analisis Hubungan Volatilitas Pasar Saham, Foreign Portfolio Investment, Dan Indikator Makroekonomi Pada Saham Syariah Sektor Energi Di Indonesia Tahun 2011-2023, Syahrul 'Ali Ibrohim

Jurnal Manajemen dan Usahawan Indonesia

This research aims to analyze the relationship between stock market volatility, Foreign Portfolio Investment (FPI), interest rates, exchange rates, and the Industrial Production Index (IPI) on Islamic stocks in the energy sector in Indonesia from 2011 to 2023, using the Autoregressive Distributed Lag (ARDL) method and monthly frequency data. The research results indicate the existence of cointegration or a long-term relationship among each tested variable as the dependent variable. The long-term test results show that volatility in Islamic stocks in the energy sector is positively influenced by FPI activity. Furthermore, the exchange rate positively affects the IPI. Meanwhile, in the …

Optimizing Bioethanol Production From Solanum Torvum (Devil's Thorn): An Evaluation Of Conversion Efficiency And Invasive Plant Management Potential, Jaya Ashwin D S, Navaneeth K, Abhay Mahesh Baadkar, Supriya S Sundar, Bhoomika B J

Manipal Journal of Science and Technology

Solanum torvum, commonly known as the Devil’s thorn, is an invasive species present in India that causes negative ecological consequences. However, given its abundance and high starch content in the plant, it could be utilized as a potential feedstock for sustainable biofuel production. We aim to explore the feasibility of bioethanol production from S. torvum and its potential as a means of managing this invasive species. The study will take on a comprehensive approach, including techniques for optimizing starch extraction and improving its accessibility. Fermentation with suitable strains of microorganisms, and analysis of bioethanol yield. In addition, the study will …

Genetic Algorithm-Based Design Solution Of An Area Lighting Scheme - A Case Study, Prabhat Mishra, Arnab Ganguly, Amartya Roy, Mihir Kumar Manna, Abhik Hazra

Manipal Journal of Science and Technology

In this paper, a Genetic Algorithm (GA)-based approach is taken for the lighting design of a specified area. The design of an area lighting scheme primarily depends upon the application of that area and accordingly target values of lighting design parameters are to be decided from relevant BIS (Bureau of Indian Standard) lighting codes. There are several design variables, viz., light distribution, aiming of the luminaire, pole spacing, luminaire mounting height, grid dimension over the field, etc. The task of a lighting designer is to achieve the target design parameters through a suitable combination of set design variables and design …

Field Oriented Control (Foc) Of Permanent Magnet Synchronous Motor (Pmsm) Applied In Electric Vehicle (Ev), Unnikrishnan P C, Delgin Saji, Ashwini M, Georgee Cleetus, Joshua Andrews Chandy

Manipal Journal of Science and Technology

Synchronous motors are the most commonly used steady-state three-phase AC motors in electrical systems. The synchronous speed of these motors remains constant, being equal to the supply frequency and its rotational period corresponding to the integral number of AC cycles. So, these motors are mainly used to improve the power factor in power systems.

The paper focuses on field-oriented control of a permanent magnet synchronous motor to effectively control its speed and torque. AC motors only have stator currents, so separate control mechanisms such as vector controls are required to control the motor’s operation. Field-oriented control is the most commonly …

Contingency Analysis On Transmission Line Of Ieee 9 Bus System, Padmashree K S

Manipal Journal of Science and Technology

Ensuring power system security poses a significant challenge for engineers in the field. Conducting security assessments is crucial as it provides insight into the system's condition in the event of a contingency. The widely employed contingency analysis technique serves to anticipate the impact of outages, such as equipment failures or transmission line disruptions, enabling pre-emptive measures to maintain system reliability. However, analyzing each contingency offline is arduous due to the extensive number of system components, with only select contingencies posing severe threats to the system. Computing performance indices for every scenario is a step in the contingency selection process, which …

An Energy-Efficient Clustering Technique Of Heterogeneous And Homogeneous Wireless Sensor Networks, Ahmad Alkhayyat, Rohit Sharma

NJF Intelligent Engineering Journal

The technology of wireless sensor networks (WSN) has recently gained widespread recognition as an emerging one. A WSN consists of a set of sensors powered by batteries. Inaccessible locations usually make it difficult to replace or recharge sensors' batteries. These networks are plagued by energy consumption, which is the main problem. The clustering algorithms are remarkably effective in dealing with such problems in this regard. As a result, this technique appears to help reduce node energy consumption, which ultimately increases the network's lifespan. Heterogeneous and homogeneous clustering algorithms exist. In homogeneous clustering algorithms, all nodes have the same technical characteristics, …

Optimized Thyroid Disease Classification Using Nature-Inspired Algorithms: Gwo & Woa, Sayan Mondal

NJF Intelligent Engineering Journal

Recently, there has been an upsurge in the number of cases of thyroid disease. Thyroid function is essential for metabolism, making the early diagnosis of thyroid dysfunction an urgent matter. The issue of class imbalance has not been thoroughly examined, even though there are multiple publications on the topic of thyroid disease detection. Furthermore, the binary-class problem has been the primary emphasis of previous research. This study intends to address these concerns by using the suggested strategy, which takes into account ten distinct thyroid illnesses. In order to choose the best features from the Thyroid dataset, this research proposes two …

A Predictive Iot And Cloud Framework For Smart Healthcare Monitoring Using Integrated Deep Learning Model, Preeti Rani, Umesh Chandra Garjola, Haider Abbas

NJF Intelligent Engineering Journal

The researchers developed a deep learning-based smart healthcare monitoring system based on IoT and cloud technology. The proposed system integrates IoT sensors for real-time collection of physiological data, such as ECG, blood pressure, and heart rate, with cloud computing for secure storage and advanced analytics. Utilizing the Bi-LSTM model with fuzzy inference systems (FIS), the framework enhances the accuracy and efficiency of heart disease prediction. According to the evaluation, the model performs better in terms of accuracy, precision, recall, and F1 score than traditional LSTM and FLSTM models. By enabling early detection and personalized interventions, the system aims to reduce …

Real-Time Congestion Control And Load Optimization In Cloud-Manets Using Predictive Algorithms, Preeti Rani, Mohammed Hussien Falaah

NJF Intelligent Engineering Journal

Cloud-MANET environments require a system to balance load and control congestion. As a result of integrating real-time network metrics with predictive traffic algorithms, the proposed model optimizes the management of dynamic topologies, network bandwidth constraints, and fluctuating traffic loads. In addition to energy-aware multi-path routing, the framework incorporates adaptive congestion control mechanisms to ensure data transmission is efficient and stable. This algorithm provides higher packet delivery ratios, reduces end-to-end delays, and increases throughput over existing algorithms, according to the evaluation results. Hybrid Cloud-MANET systems can benefit from this approach by optimizing resource utilization and network performance.

New Forced Convection Flow Of Nanofluid Within A Partially Filled Porous~Straight Channel, Ammar I. Alsabery, Ali Sahib Abosinee

NJF Intelligent Engineering Journal

This study specifically examines how the movement and dispersion of nanoparticles affect heat transfer in a linear channel that contains a partially porous medium. The existing body of literature is lacking a comprehensive understanding of the convective heat transfer of nanofluids in porous channels. This presents an open research topic that demands further investigation. The porous channel is modelled using Finite Element Method (FEM) for steady flow. The assumption of thermal equilibrium model is made between the solid phases and nanofluid. The non-uniform distribution of nanoparticles within the channel is postulated. Consequently, the equation for the distribution of volume fraction …

A Predictive Framework Combining Iot And Machine Learning Regression Models For Smart Precision Farming, Kusum Yadav, Nesreen Abdou El-Hadiede

NJF Intelligent Engineering Journal

In this paper, the Internet of Things (IoT) and machine learning algorithms that incorporate regressor are integrated to improve precision agriculture. Data from Internet of Things sensors like temperature sensors, humidity sensors, and soil sensors can be collected and analysed using machine learning algorithms like Support Vector Machines (SVMs) and Multilayer Perceptrons (MLPs). By using the proposed system, crop yield will be optimised, resource usage will be minimised, and the environmental impact of agriculture will be reduced. A comparison of predictive accuracy and error metrics, such as RMSE, demonstrated the effectiveness of automated monitoring, predicting crop health issues, and implementing …

Comparative Analysis Of Nature-Inspired Optimization Algorithms: Applications, Challenges And Future Directions, Prerna Mann

NJF Intelligent Engineering Journal

With the proliferation of data generation, the process of achieving optimal solutions is getting more complex. It is becoming increasingly clear that intelligent metaheuristics algorithms are the way to go for solving these complicated optimisation problems, particularly when faced with several restrictions. The development of effective methods for dealing with these optimisation challenges has prompted the creation of numerous new algorithms. These algorithms are either improving their ability to handle problems in many domains or are investigating new contexts in which they could be useful. The field is advancing at a quick pace, leaving many in the dark about its …

Biological Abnormalities In Long Covid Disease: A Mini Review, Abbas F. Almulla, Hanaa Addai Ali

NJF Biomedicine Journal

Long COVID (LC) is characterized by prolonged, diverse symptoms affecting multiple organ systems, including but not limiting to the immune, neurological, and cardiovascular systems. This mini review explores the biological abnormalities underpinning LC, focusing on immune dysregulation, chronic inflammation, oxidative stress, and mitochondrial dysfunction as key contributors to its persistence. Recent studies indicate that LC may involve sustained elevation of pro-inflammatory cytokines, autoimmunity, and T-cell exhaustion, all of which perpetuate a state of low-grade chronic inflammation. Additionally, oxidative and nitrosative stress linked to mitochondrial damage exacerbates fatigue, mood and cognitive symptoms, while hormonal imbalances and metabolic disturbances further complicate the …

Comparative Analysis Of Atracurium And Rocuronium In General Anesthesia: Distribution And Effects On Vital Signs, Omaima Abbass, Ahmed Maki Radeef

NJF Biomedicine Journal

Background: The Muscle relaxants are necessary in anesthesia management that used to facilitate the intubation and for ensure muscle relaxation during surgery. The Rocuronium and Atracurium are two most commonly used non-depolarizing muscle for relaxants of muscles, which each have novel effects on hemodynamic parameters, since they are major for maintaining stability during surgical procedures.

Objective: The present study aims to compare the hemodynamic effects of both Rocuronium and Atracurium during surgery apparatus in adult patients that undergoing general anesthesia, their effect on systolic blood pressure and diastolic blood pressure, mean arterial pressure (MAP), heart rate, and oxygen …

The Effect Of Types Anesthesia On Neonate's Apgar Score In Cesarean Section, Ahmed Maki Radeef, Ali Mejbel. M. Alkhafaji, Asawer Hasan Najm

NJF Biomedicine Journal

Background: The type of anesthesia is important in maternal and fetal well-being. There is different information about the effect of general and spinal anesthesia on APGAR scores and hemodynamic stability for maternal, so in this study, a comparison was made following these two methods.

Objective: To compare anesthetic types regarding feto-maternal outcomes. Determine the effect of anesthesia type on neonate APGAR score, determine the effect of anesthesia type on the material's hemodynamic stability, and determine the effect of induction time on neonate APGAR score. Materials and Methods: This study is a clinical trial and 60 term pregnant women …

Detection Of Some Virulence Factor Genes Among Staphylococcus Aureus Isolated From Ocular Infections In Hilla City, Zaid Kadhim Jassim Alsultany, Ali Turki, Hayat Ghaith Sachit, Hiyam Faez Ahmed

NJF Biomedicine Journal

This investigation examined 100 individuals who had symptoms of acute inflammation affecting the cornea, conjunctiva, and eyelids. Hilla City's private eye clinic welcomed the patients. For 18--24 hours at 37°C, the materials were cultured in both aerobic and anaerobic conditions. Colony morphology, microscopy, and biochemical testing were used to diagnose Staphylococcus aureus infections. The specific positive cards of the Vitek 2 system were used to isolate these isolates. Out of 100 specimens, 65 65%) were found to be associated with different types of microbes, but only 35(35% of the total) tested positive for S. aureus in culture. Out of the …

Review On Intestinal Protozoan Parasites (Types, Symptoms, Diagnosis, Control And Prevention), Hawraa Salih Dhahir Aljaefari, Bent Alhuda Hussein Neamah, Zahraa Husam Jaber Assarraf, Zainab Hameed Selman Al-Ziyadee

NJF Biomedicine Journal

Intestinal protozoan parasites spread all the world and associated between man and animals. They are transmitted to man through consuming drinks and food contaminated with parasite cysts. They infect all age groups, each of these protozoa is characterized by special and distinctive symptoms such as fever,chills and abdominal pain, may have only mild abdominal discomfort or no symptoms at all but the main distinctive symptom of the infection is severe diarrhea. Sometimes the infection is not limited to the intestines only, but is transmitted to other organs. diagnosis of intestinal protozoan infections based on symptoms and physical findings is difficult; …

Identification And Evaluating Of Some Alkaloids From Ethanolic Extracts Of Agaricusbisporus (J.) As Assistant Coagulant Agent, Hassan Falih Hassan Salman Al-Ardawi, Esraa Mohammed Kadhim Al- Huchimi, Alshimaysawee Sadeq, Ameer Mohammed Ridha

NJF Biomedicine Journal

Background: Alkaloid, any of a class of naturally occurring organic nitrogen-containing bases. Alkaloids have diverse and important physiological effects on humans and other animals.

Objectives: In the present study we have studied the effect of ethanolic extract of mushroom on the blood biochemistry parameters in through 21 days of treatment.

Methods: The study was conducted in biotechnology laboratories and animal house of the Department of biology in Faculty of Science / University of Kufa to evaluate the biological activity of ethanol alcohol alkaloids extracts fruits of Mushroom Agaricusbisporus (J.) as assistant of coagulant Agent using (60) healthy adult male Albino …

The Use Of Primal Reflex Release Technique To Address Pain And Stress: An Exploratory Case Series, Nathan R. Reep, Sydney N. Leverett, Rebecca M. Heywood, Zachary Johnson, Alan Nasypany, James May, Scott W. Cheatham

Clinical Practice in Athletic Training

The majority of the world population is experiencing more stress after the COVID-19 pandemic. Working in an outpatient healthcare setting it can be expected that patients will present with stress in combination with other perceptions of pain related to injury. Stress alone may be the cause of pain perception especially in patients who present with no specific mechanism of injury. There is a need for a quick full-body approach to assessment and treatment while considering the stress response to injury. Therefore, the purpose of this study was to determine the immediate effects of Primal Reflex Release Technique (PRRT) Primals on …

A Conceptual Framework Of Work Passion And Key Intelligences Among Coaches, Paul Yuseung Doh, Minjung Kim, Brent D. Oja

Journal of Applied Sport Management

This study proposes a conceptual framework that integrates work passion and three key intelligences: cultural intelligence, digital intelligence, and emotional intelligence, to enhance coaching effectiveness and psychological well-being in sport. The framework explores the anticipated antecedents and outcomes of work passion and these intelligences among coaches. The proposed framework contributes theoretically by highlighting the role of work passion and integrative intelligences as foundational elements for innovative work behaviors in sport coaching, which ultimately enhancing both coaching effectiveness and psychological well-being among coaches. This framework also offers practical insights for sport organizations to strategically invest in coaching development, promoting adaptive, tech-savvy, …

What Happens When Grit Goes Bad? Conceptualizing “Dark” Grit Among Sport Employees, Brent D. Oja, Samantha L. Jordan

Journal of Applied Sport Management

This paper details the complexities of the construct known as “grit” and specifically examines the potential for the positive effects of grit to turn maladaptive or “dark.” Although grit is commonly viewed as a generative construct that helps individuals achieve success and experience well-being, past scholars have suggested there could be a “too much of a good thing” effect whereby the helpful outcomes of grit reach a turning point and become detrimental. We propose that the sport industry is an ideal environment for this phenomenon to occur because the industry has high labor demands, and its employees have a strong …

Fostering Sport Employees’ Passion And Enhancing Organizational Success In Intercultural Sporting Events, Young Do Kim, Chanwook Do, Paul Yuseung Doh

Journal of Applied Sport Management

This study emphasizes the role of sport employees’ passion in intercultural sporting events, specifically within professional sport leagues in the United States. The proposed framework identifies key factors that shape employee passion and explore its impact on organizational success, highlighting how fostering passion enhances innovative work behavior, intercultural communication effectiveness, task performance, and psychological well-being. Additionally, this research highlights the importance of cultural intelligence and meaningful work within the conceptual framework. The study offers strategies for sports organizations to cultivate passion, thereby strengthening employees’ work behavior in intercultural sporting contexts.

Passion For What? Key Considerations For Passion In The Sport Workplace, Steve Swanson

Journal of Applied Sport Management

The sporting world is replete with emotion. Intense feelings of many forms are experienced by a wide range of actors consuming sport, with passion receiving some of the greatest attention across a spectrum of emotions studied in sport management. The notion of passionate employees is ubiquitous in the sport environment, with research suggesting emotion from the sporting arena spills over to the workplace. This article highlights key considerations about sport employee passion that need addressing, including what it is that they are actually passionate about, the role that identity plays for these individuals, and whether sport employee passion is inherently …

Passion In Sport Management Research: Looking Back To Move Ahead, Jiayao Qi, Marshall Magnusen, Samuel Y. Todd

Journal of Applied Sport Management

As a nearly “abused” term, passion is pervasive and distinctive concept in the sport industry. However, research about passion has often been limited to mainstream frameworks such as the dualistic model of passion, which was originally developed among sport participants (e.g., athletes) with survey-based research methods. Though helpful, this has created a gap between what the current literature offers and what is needed from contemporary passion research in sport management. Notably, more attention needs to be given to both sport job seekers and sport employees. Accordingly, in this piece, we look back on passion, covering its history, key theories, and …

Single-Step Synthesis Of Activated Carbon From Arabica Spent Coffee Ground Using K2co3 As Activator Agent, Ghina Ivana Mieldan, Yuliusman Yuliusman

Journal of Materials Exploration and Findings

Activated carbon is a nanomaterial that is often used as an effective adsorbent. Activated carbon raw materials can use biomass, such as coffee grounds, which can be found along with the growth of public interest in coffee drinks. Chemical activators are used for activation to increase biomass carbon's adsorption capacity. Using K₂CO₃ activator to increase the specific surface area of activated carbon is more harmless than KOH. The use of spent coffee grounds as carbon source and food additive K₂CO₃ as an activator can make food-grade activated carbon that can be used for food. …

Strategic Site Selection For Bio-Lng Plant In Indonesia: A Multi-Criteria Scoring Method Approach, Edma Nadhif Oktariani, Yuliusman Yuliusman

Journal of Materials Exploration and Findings

In Indonesia, the energy sector is still predominantly reliant on fossil fuels, with renewable energy, including liquefied biomethane (Bio-LNG), playing a limited role. Nonetheless, Indonesia has significant potential for Bio-LNG development due to its abundant organic waste resources such as Palm Oil Mill Effluent (POME) from palm oil mills. Having approximately 891 Palm Oil Mills in Indonesia and being spread mostly in Sumatra, this study aims to select a strategic location for a Bio-LNG plant that can enhance logistical efficiency and economic viability for the plant. This study uses Multi-Criteria Decision Making (MCDM) methodologies to assess potential sites based on …

Effect Of Alkyd And Polyester Resin Compositions On Corrosion Resistance, Blistering, And Adhesion In Utilization Of Oily Sludge As Anti-Rust Coating Material, Gerets Land Kakalang, Yohanes David Kristianto, Johny Wahyuadi Mudaryoto

Journal of Materials Exploration and Findings

Oil sludge is a waste derived from upstream and downstream activities of the oil and gas industry which is estimated at 10,000 tonnes generated from all PERTAMINA downstream activities spread across various fields, processing units and depots throughout Indonesia. Oil sludge has the same characteristics as asphalt, where asphalt in previous studies can be used as an anti-rust coating, so that the handling of oily sludge can be topped up by reusing and having its own added value. The purpose of this research is to utilise waste oily sludge as an alternative anti-rust coating material and compare alkyd resin and …