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Middle East, Kelly Blount, Harry Baumgarten, Nicolas Bremer, Gaurav Redhal, Seyed Mohsen Rowhani, Howard L. Stovall, Catherine Van Kampen Sep 2026

Middle East, Kelly Blount, Harry Baumgarten, Nicolas Bremer, Gaurav Redhal, Seyed Mohsen Rowhani, Howard L. Stovall, Catherine Van Kampen

The Year in Review

No abstract provided.


Europe, Duncan Gorst, Luigi Pavanello, Willem Den Hertog, Jonathan A. Mcgowan Sep 2026

Europe, Duncan Gorst, Luigi Pavanello, Willem Den Hertog, Jonathan A. Mcgowan

The Year in Review

No abstract provided.


International Transportation Law, James Henry Bergeron, Attilio M. Costabel, Andrew M. Danas, Gregory C. Maddaleni, Rebecca Fenneman Sep 2026

International Transportation Law, James Henry Bergeron, Attilio M. Costabel, Andrew M. Danas, Gregory C. Maddaleni, Rebecca Fenneman

The Year in Review

No abstract provided.


International Legal Developments Year In Review: 2021, Jason S. Palmer, Kimberly Y. W. Holst Sep 2026

International Legal Developments Year In Review: 2021, Jason S. Palmer, Kimberly Y. W. Holst

The Year in Review

No abstract provided.


Effectiveness Of A Training Program In Enhancing The Knowledge Of Intensive Care Unit Staff Regarding Emergency Response: A Quasi-Experimental Pre–Post Study, Abdulrahman Abbas Jasim, Shimaa Gomaa, Rofida Albash, Amira B Kassem, Shahab Abdulla, Ralela Makline, Mustafa Abbass Sep 2026

Effectiveness Of A Training Program In Enhancing The Knowledge Of Intensive Care Unit Staff Regarding Emergency Response: A Quasi-Experimental Pre–Post Study, Abdulrahman Abbas Jasim, Shimaa Gomaa, Rofida Albash, Amira B Kassem, Shahab Abdulla, Ralela Makline, Mustafa Abbass

AUIQ Complementary Biological System

Background: Timely and effective emergency response by intensive care unit (ICU) staff is critical for patient outcomes. Objective: To evaluate the effect of a structured educational intervention on ICU staff knowledge of emergency response. Methods: A one-group quasi-experimental pre–post study was conducted among ICU healthcare professionals in Thi-Qar Governorate hospitals. Participants completed a validated questionnaire assessing emergency response knowledge before and after a structured lecture covering cardiopulmonary resuscitation (CPR), airway management, bleeding control, and the ABCDE protocol. Paired statistical analyses were applied, and p-values <0.05 were considered significant. Results: Forty-one participants completed both assessments. Significant improvements were observed in recognition …


The Impact Of Social Expectations And Gender Norms On Women Leaders' Marital And Partner Relationships And Their Influence On Workplace Outcomes, Hedi Kovacs-Resnik Sep 2026

The Impact Of Social Expectations And Gender Norms On Women Leaders' Marital And Partner Relationships And Their Influence On Workplace Outcomes, Hedi Kovacs-Resnik

Economic and Business Review

Leadership sustainability among women remains insufficiently explained in leadership research, as dominant models prioritise workplace factors, neglecting the role of private-life demands. This research explored how social expectations and gender norms influence women's private lives and how the emotional impact spills over into their leadership style and performance, thereby influencing their career progression. Using a qualitative design and thematic analysis of 18 interviews with women in leadership roles, the research examined what it means to lead while also navigating family and relationships.
The findings revealed that the boundaries between women's private and professional lives are almost nonexistent. Professional success often …


When Loyalty Intentions Fail: Evidence On The Intention–Behaviour Gap And Customer Retention In Mobile Telecommunications, Danilo Tomšič Sep 2026

When Loyalty Intentions Fail: Evidence On The Intention–Behaviour Gap And Customer Retention In Mobile Telecommunications, Danilo Tomšič

Economic and Business Review

This paper quantifies and explains the consumer intention–behaviour gap in mobile telecommunications and shows how it matters for competitive resource allocation. Using a two-wave longitudinal survey of 4887 consumers, I compare stated switching intentions at time t with self-reported provider choice at t + 1 and identify a 15.4% divergence comprising two forms: nonswitching intenders (consumers who intended to switch but did not) and switching nonintenders (consumers who did not intend to switch but did). Binary logistic models reveal temporal asymmetry in determinants. Among nonswitching intenders, higher baseline loyalty (satisfaction, repeat-choice commitment, and recommendation intention) lowers the likelihood of remaining …


Beyond Adoption: How Technology–Organization–Environment Factors Shape The Use Of Social Media Technologies And Performance In B2b Companies, Peter Grabner, Barbara Čater Sep 2026

Beyond Adoption: How Technology–Organization–Environment Factors Shape The Use Of Social Media Technologies And Performance In B2b Companies, Peter Grabner, Barbara Čater

Economic and Business Review

This study examines how technological, organizational, and environmental factors shape social media technology (SMT) use in business-to-business (B2B) markets and how SMT use relates to customer relationship performance and marketing performance. Building on the technology–organization–environment (TOE) framework, we develop and test a structural model in which perceived simplicity of SMT (technology), SMT strategy (organization), and mimetic competitive pressure (environment) shape SMT use, which in turn affects customer relationship and marketing performance. We collected data with an online survey of 195 marketing and sales professionals from B2B companies in Slovenia. Results indicate that SMT strategy is the strongest predictor of SMT …


Geographical Pattern Analysis Of Gis Images With Deep Learning And Voronoi Network, Nidaa Kareem, Tawfiq A. Al-Assadi Sep 2026

Geographical Pattern Analysis Of Gis Images With Deep Learning And Voronoi Network, Nidaa Kareem, Tawfiq A. Al-Assadi

Journal of Intelligent Informatics, Networking, and Cybersecurity

Localization is not enough for the analysis of spatial patterns; a principled geometric and statistical framework is required. This paper proposes an integrated spatial intelligence system combining deep learning, computational geometry, and spatial statistics, which is a unified and interpretable system. It is based on segmentation localization that accurately localizes the centroid of each object without the disadvantages of the bounding box. These centroids form a natural Voronoi tessellation of regions of spatial influence intrinsic to the data instead of imposing any artificial restrictions. A geometry-based density formulation is used to improve representation, which includes Voronoi cell areas and neighborhood …


Key Strategies Enabling The Contribution Of Social Infrastructure In Climate-Proofing Cities: An Explorative Case Study Of Rotterdam, The Netherlands, Sara Elgamal, Alaa El.Eashy, Sherif Sheta Sep 2026

Key Strategies Enabling The Contribution Of Social Infrastructure In Climate-Proofing Cities: An Explorative Case Study Of Rotterdam, The Netherlands, Sara Elgamal, Alaa El.Eashy, Sherif Sheta

HBRC Journal

Social infrastructure, as the physical medium for social life in cities, is increasingly being acknowledged for its ability to offer climate-proofing benefits both in times of climate stability and climate disturbances. However, more evidence is needed on how social infrastructure can be deliberately shaped to contribute to climate-proofing cities. Our study addresses this gap through exploring the key strategies which ensure the effective engagement of social infrastructure (SI) in climate proofing cities (CPC). An explorative case study of Rotterdam city is performed, as the city is well recognized as a pioneer in climate resilience through spatial planning. Data sources for …


Fabrication And Performance Evaluation Of Electrospun Pvdf/Pan Nanofibrous Membranes For Oily Wastewater Separation, Ahmed H. Oleiwi, Akram R. Jabur, Qusay F. Alsalhy, Doinita Roxana Cioroiu Tirpan, Claudia Ana Maria Patrichi Sep 2026

Fabrication And Performance Evaluation Of Electrospun Pvdf/Pan Nanofibrous Membranes For Oily Wastewater Separation, Ahmed H. Oleiwi, Akram R. Jabur, Qusay F. Alsalhy, Doinita Roxana Cioroiu Tirpan, Claudia Ana Maria Patrichi

Engineering and Technology Journal

Electrospun nanofibrous membranes are a promising technique for wastewater treatment owing to their high porosity and surface properties. This manuscript presents a systematically designed investigation on the preparation and optimization of poly(vinylidene fluoride) (PVDF)/polyacrylonitrile (PAN) blended nanofibrous membranes for oil/water separation. Nanofibrous membranes were synthesized by electrospinning with PAN weight percentages of 0 wt%, 10 wt%, 25 wt%, and 50 wt%. The impact of PAN weight percentages on the morphology and separation performance of the membranes was investigated. The membranes were analyzed harnessing scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), Fourier-transform infrared spectroscopy (FTIR), and water contact angle (WCA) …


Tio2 Quantum Dots Supported On Poly(Chloroaniline): Enhanced Photocatalytic Degradation And Recyclability For Wastewater Treatment, Ibrahem A. Ibrahem Sep 2026

Tio2 Quantum Dots Supported On Poly(Chloroaniline): Enhanced Photocatalytic Degradation And Recyclability For Wastewater Treatment, Ibrahem A. Ibrahem

University of Bisha Journal for Basic and Applied Sciences

A poly(chloroaniline)/TiO2 quantum-dot (ClAn/TiQD) hybrid photocatalyst was prepared by in situ oxidative polymerization to address the limited visible-light utilization and charge recombination commonly associated with TiO2-based systems in dye-bearing wastewater treatment. Structural and spectroscopic analyses confirmed retention of anatase TiO2 after hybrid formation, preservation of the conjugated polymer backbone, and interfacial coupling between TiQD and ClAn. TEM showed ClAn particles of 33–42 nm, TiQD domains of 3.9–6.9 nm, and hybrid particles of 22–25 nm. The composite also exhibited improved thermal resistance relative to ClAn, with the principal degradation stage shifted to higher temperature and the total …


Integrative Dna Barcoding In Ficus Cultivars In Taif Highlands, Saudi Arabia: Complementary Roles Of Rbcl And Trnh-Psba Markers, Amal A. Alyamani Sep 2026

Integrative Dna Barcoding In Ficus Cultivars In Taif Highlands, Saudi Arabia: Complementary Roles Of Rbcl And Trnh-Psba Markers, Amal A. Alyamani

University of Bisha Journal for Basic and Applied Sciences

The common fig (Ficus carica L.) is a commercially significant fruit crop in Saudi Arabia, with particular importance in the Al-Taif highland region. In this study, three DNA barcodes (rbcL, ITS, and trnH-psbA) were evaluated on eleven fig cultivars collected from various geographically distinct sites within the Al-Taif highlands. A combination of three plant DNA barcoding markers, rbcL, ITS, and trnH-psbA, alongside selected morphological traits of mature leaves and fruits, was used to assess the genetic and phenotypic diversity among Fig varieties. The integrative approach aimed to achieve reliable cultivar discrimination and enhance understanding of the genetic structure and …


Adaptive Uav Network Defense Against Cyber Threats Using Gt-Tgc-Drl Hybrid Framework, Ahmed I. Taloba, Meshari S. Alshammroki Sep 2026

Adaptive Uav Network Defense Against Cyber Threats Using Gt-Tgc-Drl Hybrid Framework, Ahmed I. Taloba, Meshari S. Alshammroki

University of Bisha Journal for Basic and Applied Sciences

The Unmanned Aerial Vehicle (UAVs) communication networks are becoming easy targets of cyber-attacks such as denial of service, spoofing and intrusion, compromising on the mission-critical operations. The existing methods for cybersecurity using conventional machine learning or pure deep learning cannot reflect the complexity of spatial and temporal dependencies and cannot be adaptive against new cyber-attacks in UAV networks. In order to surmount these constraints, we present a new Graph Transformer-Temporal Graph Convolutional-Deep Reinforcement Learning (GT-TGC-DRL) architecture to adaptive UAV cyber defense. The methodology models UAV network traffic in terms of graph structures, with nodes used to model UAVs and edges …


Type 2 Diabetes Mellitus Cascade Of Care Among Saudi Adults: A Cross-Sectional Analysis Of National Health Survey Data And Alignment With International Glycemic Control Targets, Ahmed A. Almohammadi, Hassan Almohammadi Sep 2026

Type 2 Diabetes Mellitus Cascade Of Care Among Saudi Adults: A Cross-Sectional Analysis Of National Health Survey Data And Alignment With International Glycemic Control Targets, Ahmed A. Almohammadi, Hassan Almohammadi

University of Bisha Journal for Basic and Applied Sciences

Background: Type 2 diabetes mellitus represents one of the most consequential noncommunicable diseases globally, yet substantial gaps in diagnosis, treatment, and glycemic control persist across all income settings. Saudi Arabia carries one of the highest diabetes burdens in the Eastern Mediterranean Region amid ongoing epidemiological transition.
Objectives: To characterize the type 2 diabetes mellitus cascade of care — prevalence, awareness, treatment, and glycemic control — among Saudi adults and evaluate alignment with International Diabetes Federation and WHO glycemic control benchmarks.
Methods: This cross-sectional descriptive study analyzed secondary data from the Saudi Health Interview Survey 2019 (SHIS-2019; n = 10,735 adults …


Industry Perspectives On Unmanned Aerial Vehicle Utilization For Dam Inspection And Maintenance, Abdulaziz Alzahrani, Mohammed Sulaiman Sep 2026

Industry Perspectives On Unmanned Aerial Vehicle Utilization For Dam Inspection And Maintenance, Abdulaziz Alzahrani, Mohammed Sulaiman

University of Bisha Journal for Basic and Applied Sciences

Effective inspection and maintenance of dams are essential for infrastructure longevity, water resource management, and public safety. Historically, dam maintenance relied heavily on visual inspections, which were limited in scope and accuracy, especially in detecting internal structural issues such as seepage and foundational degradation. This paper presents an industry-oriented evaluation of Unmanned Aerial Vehicles (UAVs) as a transformative tool in modern dam inspection and maintenance. The study explores UAVs' capacity to enhance efficiency, safety, and precision in identifying structural anomalies, erosion, and environmental degradation. Survey data collected from contractors in the Saudi water sector provides insight into current adoption levels, …


Prevalence, Awareness, Treatment, And Control Of Hypertension Among Saudi Adults: A Secondary Analysis Of National Health Survey Data Aligned With Who Global Hearts Initiative Targets, Ahmed A. Almohammadi Sep 2026

Prevalence, Awareness, Treatment, And Control Of Hypertension Among Saudi Adults: A Secondary Analysis Of National Health Survey Data Aligned With Who Global Hearts Initiative Targets, Ahmed A. Almohammadi

University of Bisha Journal for Basic and Applied Sciences

Background: Hypertension is the leading modifiable risk factor for cardiovascular disease and premature mortality globally. Despite its high prevalence in Saudi Arabia, the national hypertension care cascade—spanning awareness, treatment, and blood pressure control—remains insufficiently characterized across demographic and geographic strata.
Objectives: To characterize the prevalence, awareness, treatment, and control of hypertension among Saudi adults, analyze temporal trends from 2013 to 2022, evaluate demographic and geographic variation, and assess alignment with WHO Global Hearts Initiative targets.
Methods: This cross-sectional descriptive study analyzed secondary data from the Saudi Health Interview Surveys (2013, 2018), WHO Global Health Observatory estimates, and Ministry of Health …


The Prospector, September 1, 2026, Student Publications Sep 2026

The Prospector, September 1, 2026, Student Publications

The Prospector

No abstract provided.


Inti Numéro 101-102 Sep 2026

Inti Numéro 101-102

INTI: Revista de literatura hispánica

No abstract provided.


Targum Jonathan (Tgj) On Isaiah 6, A Literary-Interpretative Translation, Maksim Astashinskiy Sep 2026

Targum Jonathan (Tgj) On Isaiah 6, A Literary-Interpretative Translation, Maksim Astashinskiy

Faculty Papers and Publications

[1] The pointed text is from “Targum Jonathan on Isaiah 6,” Sefaria Library, accessed August 16, 2026, https://www.sefaria.org/Targum_Jonathan_on_Isaiah.6?lang=bi; the public domain source text on Sefaria is from The Chaldee paraphrase on the prophet Isaiah [by Jonathan b. Uzziel], Trans. Rev. C.W.H. Pauli (London: London Society’s House, 1871), 20–22, https://archive.org/details/chaldeeparaphra00uzzigoog/page/n36/mode/2up. A hyperlinked, alternative public domain version with textual variants is available as “51012: TgJ Is” in The Comprehensive Aramaic Lexicon (CAL): Hebrew Union College, accessed August 16, 2026, https://cal.huc.edu/get_a_chapter.php?file=51012&sub=06&cset=H. Researchers can also view a superliner pointed text, see: “51012: TgJ Is,” CAL, accessed August …


Epistemic Resilience In Ai-Driven Innovation, James C. Ryan, Massimiliano Cappuccio, Effrosyni Georgiadou, Alessandro Lanteri Sep 2026

Epistemic Resilience In Ai-Driven Innovation, James C. Ryan, Massimiliano Cappuccio, Effrosyni Georgiadou, Alessandro Lanteri

All Works

Artificial intelligence (AI) has become an integral component of innovation infrastructure, facilitating information retrieval, knowledge recombination, and decision support. While these applications accelerate innovation cycles, they simultaneously obscure evidential provenance, compromise output reliability, and diffuse accountability when algorithmic insights fail. To address these vulnerabilities, this paper introduces the concept of epistemic resilience, defined as an organizational and ecosystem capability to preserve, adapt, and restore trustworthy knowledge processes amid technological disruption, uncertainty, and epistemic risk. Synthesizing literature across innovation management, organizational learning, knowledge management, social epistemology, research integrity, and human–AI collaboration, this study conceptualizes AI-driven innovation as a sociotechnical knowledge process …


2026 Report On The State Of Great Salt Lake Social Science, Creed Jones, Avyrlie Smith, Shae Barber, Stacia Ryder, Mufti Nadimul Quamar Ahmed, Georgie Corkery, Jennifer Givens, Anna Mcentire, Carla Trentelman, Jessica Ulrich-Schad, Kirsten Vinyeta, Bryn Watkins Sep 2026

2026 Report On The State Of Great Salt Lake Social Science, Creed Jones, Avyrlie Smith, Shae Barber, Stacia Ryder, Mufti Nadimul Quamar Ahmed, Georgie Corkery, Jennifer Givens, Anna Mcentire, Carla Trentelman, Jessica Ulrich-Schad, Kirsten Vinyeta, Bryn Watkins

Publications

Great Salt Lake (GSL) faces rapid decline that presents more than just a hydrological risk; it poses an existential social hazard. As water levels decline, ecosystems, economies, cultures, and societies face irreversible harm. Since the lake reached its lowest levels in 2022, this issue has specifically gained increased attention in Utah and beyond. Given both the degree to which human consumption contributes to the problem, and the potential risks that the drying of the lake poses for community health, social science research is a crucial for informing successful water management policies and mitigating impacts. The purpose of this report is …


Front Matter, Michigan Business & Entrepreneurial Law Review Sep 2026

Front Matter, Michigan Business & Entrepreneurial Law Review

Michigan Business & Entrepreneurial Law Review

Front matter for Volume 15, Issue 1 of Michigan Business & Entrepreneurial Law Review


Revisiting The Secretary Problem, Steven J. Brams, D. Marc Kilgour Sep 2026

Revisiting The Secretary Problem, Steven J. Brams, D. Marc Kilgour

The Mathematics Enthusiast

The venerable Secretary Problem asks how a decision maker (DM) should select one of n candidates, who come up randomly, when the only information available is each candidate’s strict rank within the set of previous applicants. Moreover, DM may select only the current candidate. Our illustrative case has n = 9 candidates, for which the Standard Method is to reject outright the first 3 candidates and then choose the first of the 4th through 8th candidates who is better than all of the first three, or the 9th candidate if none of them is. We compare the Standard Method with …


Soil Microbial Recovery From A Pulse Disturbance Following A Press Disturbance, Gretchen Bahmueller Sep 2026

Soil Microbial Recovery From A Pulse Disturbance Following A Press Disturbance, Gretchen Bahmueller

Master's Theses and Capstones

Though a natural phenomenon, disturbance events like drought and freeze-thaw cycles are increasing in frequency and severity due to climate change. At the forefront of these disturbances are soil microorganisms, which provide essential ecosystem services like carbon and nitrogen cycling. Previous work has reported responses of microbial communities to either a long-term press disturbance or a short-term pulse disturbance, with few studies examining how these disturbance types interact to influence microbial activity. This work sought to understand how soil microorganisms recover from a one month-long simulated moisture or freezing disturbance after experiencing 30+ years of soil warming. Heated and control …


Using The Plasma Dose-Response Technique To Determine The Bioavailability Of Commercial Rumen-Protected Amino Acids, Tessa Mae Baillargeon Sep 2026

Using The Plasma Dose-Response Technique To Determine The Bioavailability Of Commercial Rumen-Protected Amino Acids, Tessa Mae Baillargeon

Master's Theses and Capstones

There continues to be gaps in comparing the bioavailability of different rumen-protected methionine and lysine products. Many techniques have been developed to analyze these products with in vivo techniques considered the gold standard. The following three studies were proposed to determine the relative bioavailability value of products containing lysine and various forms of methionine using the plasma dose-response method as described by Whitehouse et al., 2017. Trial one compared two levels (18 g/d and 36 g/d) of L-Met infusion and fed LipoActiv L-Met 60. Trial two compared infusions of, and products containing, DL-Met and HMTBa (2-hydroxy-4-(methylthio)butanoic acid). Trial three used …


Understanding The Functionality Of Tuberculate Ectomycorrhiza Of Quercus Species Within The Context Of Soil Warming, Andre David Chiang Sep 2026

Understanding The Functionality Of Tuberculate Ectomycorrhiza Of Quercus Species Within The Context Of Soil Warming, Andre David Chiang

Master's Theses and Capstones

Tuberculate ectomycorrhizae (TECM) of oak are understudied, morphologically unique ectomycorrhizal (ECM) fungal structures whose initial observation at the Harvard Forest long-term ecological research site (Petersham, MA) were confined strictly to warmed plots. This study provided the first quantification of oak-associated TECM under experimental warming, characterizing their lifecycle and ecological role. We quantified and characterized TECM over three sampling periods during the growing season (May, June, August) of 2025 at two soil warming experiments at Harvard Forest: Barre Woods and Prospect Hill. We also identified the fungi associated with TECM structures, along with sclerotia found in the same samples. We quantified …


High Spatiotemporal Snow Cover Mapping With Multiscale Observations In A Transitional Montane Forest, Rashik Raj Koirala Sep 2026

High Spatiotemporal Snow Cover Mapping With Multiscale Observations In A Transitional Montane Forest, Rashik Raj Koirala

Master's Theses and Capstones

Accurate estimation of fractional snow-covered area (fSCA) in forested areas is critical for understanding snowmelt dynamics and meltwater inputs to streams, yet snow cover mapping in forested areas is still challenging using ground-based and satellite-based snow observations. This thesis develops and evaluates multi-scale approaches for monitoring fSCA using field cameras, upscales it to watershed scale using unoccupied aerial systems (UAS), and develops a framework to extract snow cover in forests using Sentinel-2 satellite imagery in mixed deciduous and coniferous forests of New Hampshire, USA.

In the first study, machine learning classifiers’ ability to extract fSCA from field camera RGB imagery …


Linking Vegetation Phenology To Dissolved Organic Matter Wet Deposition, Paola Miramontes Gonzalez Sep 2026

Linking Vegetation Phenology To Dissolved Organic Matter Wet Deposition, Paola Miramontes Gonzalez

Master's Theses and Capstones

Atmospheric wet deposition delivers important inputs of organic and inorganic compounds to ecosystems, yet the drivers of dissolved organic matter variability in wet deposition remain poorly understood. Dissolved organic matter (DOM), composed of dissolved organic carbon (DOC) and dissolved organic nitrogen (DON), can make up a substantial fraction of total carbon and nitrogen delivered through wet deposition and may play a role in shaping ecosystem nutrient inputs. Although vegetation emissions have been hypothesized as drivers of DOM wet deposition due to increased concentrations of DOC and DON during the growing season, no study has directly evaluated whether metrics of vegetative …


The Pickleball Opportunity: A Case Study To Evaluate The Market Demand And Feasibility Of Opening A Private Pickleball Facility, Dene Williamson, Janet Jones Sep 2026

The Pickleball Opportunity: A Case Study To Evaluate The Market Demand And Feasibility Of Opening A Private Pickleball Facility, Dene Williamson, Janet Jones

Global Sport Business Journal

This case study explores the market demand and financial feasibility of opening a privately owned, indoor pickleball facility in Warrensburg, Missouri. The central character, Mr. Dink, returns to his rural hometown with the goal of building a community-centric recreational space centered around America’s fastest-growing sport—pickleball. Students are asked to evaluate the business opportunity through comprehensive market research, financial forecasting, and risk assessment. Drawing from comparative data provided by an established facility in Florida, the case challenges students to adapt proven strategies to a smaller, lower-cost market. The case provides a platform to practice feasibility analysis, pricing strategy, break-even modeling, marketing, …