Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing effective hospital management information systems: A technology ecosystem perspective

II DECLARATION . IV ACKNOWLEDGMENTS . V PUBLICATIONS AND PRESENTATIONS ARISING FROM THE THESIS . V ABBREVIATIONS AND ACRONYMS . VIII LIST OF TABLES . XII LIST OF FIGURES . XV CHAPTER 1 INTRODUCTION . 1 AN OVERVIEW OF THE PROBLEM . 1 THE RESEARCH QUESTIONS . 4 OVERVIEW OF THE METHODOLOGY CHOSEN . 5 THE MAIN CONTRIBUTION OF THE THESIS . 6 STRUCTURE OF THE THESIS . 7 CHAPTER 2 LITERATURE REVIEW . 9 ANALYSIS OF LITERATURE . 9 Biological, Information and Technological Ecosystems . 10 IS and IT Planning in Healthcare . 18 IS and IT Success and Failure in Healthcare . 20 Summary of the Literature . 24 CONCEPTUAL MODEL . 25 CHAPTER 3 RESEARCH DESIGN . 31 METHODOLOGY . 31 Overview . 31 The Approach in this Research . 34 RESEARCH MODEL . 35 What is a Research Model? 35 What is the Research Model in this Thesis? 35 RESEARCH QUESTIONS . 37 Question Set 1 . 38 Question Set 2 . 40 DATA GATHERING . 44 Literature Review The literature base under consideration is in the following domains and disciplines: . 44 Case Studies . 46 DATA ANALYSIS . 47 Literature Review Analysis . 47 Case Study Analysis . 48 STUDY RELIABILITY AND VALIDITY . 48 What is reliability in ISR? 48 What is validity in ISR? 50 How will this work meet these criteria? 50 CHAPTER 4 FINDINGS . 51 CASE STUDIES . 51 Hospital Characteristics . 51 vii Key Descriptive Features of Informants . 52 Case Study 1 – Large Metropolitan Hospital . 55 Case Study 2 – Outer Metropolitan Hospital . 74 Case Study 3 – Conjoined Metropolitan Hospital . 94 Case Study 4 – Large Regional Hospital . 112 Case Study 5 – “Virtual” Hospital . 129 LITERATURE REVIEW . 146 Question Set 1 . 147 Question Set 2 . 164 CHAPTER 5 DISCUSSION . 168 SUMMARY OF FINDINGS . 168 Overview . 168 Question Set 1 . 169 Question Set 2 . 214 The Research Model . 229 CHAPTER 6 CONCLUSIONS. 232 SUMMARY OF THE THESIS . 232 KEY FINDINGS OF THE RESEARCH . 234 LIMITATIONS OF THE STUDY . 235 Methodological Considerations . 235 Generalizability of the Research . 236 RESEARCH IMPLICATIONS . 237 The Power of Analogy . 237 A New View of Technology Ecosystems? 237 CONTRIBUTION OF THE THESIS TO THE IS DISCIPLINE . 239 IMPLICATIONS FOR PRACTICE . 241 Who can the model assist in a practical sense ? 241 How will that new view assist in developing effective HMIS’ . 241 FURTHER RESEARCH . 242 Ecosystems Services . 242 The Biome Concept . 243 Further testing of the TEM Concept . 243 Synergies with other Key IS Theories . 244 REFERENCES . 246 APPENDICES . 258 APPENDIX 1ARID ZONE ANALOGY . 258 APPENDIX 2KEY INFORMANT INTERVIEW QUESTIONS . 259 APPENDIX 3SITE 1 – IM AND T PLANNING ARTEFACT . 268
Model-Based Compliance Discrimination via Soft Tactile Optical Sensing and Optical Flow Computation: A Biomimetic Approach

Soft tactile optical sensors have opened up new possibilities for endowing artificial robotic hands with advanced touch-related properties; however, their use for compliance discrimination has been poorly investigated and mainly relies on data-driven methods. Discrimination of object compliance is crucial for enabling accurate and purposeful object manipulation. Humans retrieve this information primarily using the contact area spread rate (CASR) over their fingertips. CASR can be defined as the integral of tactile flow, which describes the movement of iso-strain surfaces within the fingerpad. This work presents the first attempt to discriminate compliance through soft optical tactile sensing based on a computational model of human tactile perception that relies on CASR and tactile flow concepts. To this aim, we used a soft optical biomimetic sensor that transduces surface deformation via movements of marked pins, similar to the function of intermediate ridges in the human fingertip. We acquired images of markers' movements during the interaction with silicone specimens with different compliance at different indenting forces. Then, we computed the optical flow as a tactile flow approximation and its divergence to estimate the CASR. Our model-based approach can accurately discriminate the compliance levels of the specimens, both when the sensor probed the surface perpendicularly and with different inclinations. Finally, we used the relation between specimen compliance and the experimentally evaluated CASR to infer the compliance of a new specimen relying on the estimated CASR.
Meteorological Classification of Natural Snow Crystals

From a meteorological point of view, Nakaya's classification of natural snow crystals was modified and supplemented. By this improvement of the classification, the certain inconveniences in the description of crystal shapes of natural snow crystals were removed, particularly in unsymmetrical or irregular shapes. By the use of this improved classification, the temperature and vapor supply conditions for the growth of various kinds of natural snow crystals were described. The conditions were determined by meteorological observation methods. It may be seen that the conditions are very similar to Nakaya's Ta-s diagram. This means that the Nakaya's diagram is applicable to the formation of natural snow crystals.
Channel Estimation under Dual Wideband Effects for THz Massive MIMO Systems

This paper develops a sparse Bayesian learning (SBL)-based channel estimation method and orthogonal matching pursuit (OMP) based hybrid combiner for Terahertz (THz) massive multi-input multi-output (MIMO) systems considering dual wideband effects (spatial and frequency wideband effects) that are intrinsic to large antenna array communications systems. Specifically, performance of the designed channel estimator and hybrid combiner is analyzed, considering normalized mean square error (NMSE) and bit error rate (BER) as the figures of merit. It is observed that the SBL based channel estimator outperforms the other conventional compressive sensing based channel estimation methods. The effectiveness of the developed estimator is understood through the bayesian cramer-rao lower bound (BCRLB).
Beyond captive breeding : re-introducing endangered mammals to the wild : the proceedings of a symposium held at the Zoological Society of London on 24th and 25th November 1989

Part I: Introduction: D.M. Jones: Introductory remarks Part 2: Policy and Politics: Mark R. Stanley Price: A review of mammal re-introductions, and the role of the Re-introductions Specialist Group of IUCN/SSC Simon N. Stuart: Re-introductions: to what extent are they needed? U.S. Seal: Life after extinction Jeremy C. Mallinson: Partnerships for conservation between zoos, local government and non-government organizations M.L. Ounsted: Re-introducing birds: lessons to be learned for mammals Part 3: Logistics: David J. Chivers: Guidelines for re-introductions: procedures and problems M.H. Woodford & R.A. Kock: Veterinary considerations in re-introduction and translocation projects Hilary O. Box: Training for life after release: Simian primates as examples Devra G. Kleiman, Benjamin R. Beck, James M. Dietz & Lou Ann Dietz: Costs of a re-introduction and criteria for success: accounting and accountability in the Golden Lion Tamarin Conservation Program Part 4: Ecology and Genetics: Robert M. May: The role of ecological theory in planning re-introduction of endangered species Thomas J. Foose: Viable population strategies for re-introduction programmes K. MacKinnon & J. MacKinnon: Habitat protection and re-introduction programmes Part 5: Examples: Alexandra M. Dixon, Georgina M. Mace, John E. Newby & Peter J.S. Olney: Planning for the re-introduction of scimitar-horned oryx (Oryxdammah) and addax (Addax nasomaculatus) into Niger I.J. Gordon: Ungulate re-introductions: the case of the scimitar-horned oryx E. Tom Thorne & Bob Oakleaf: Species rescue for captive breeding: black-footed ferret as an example Donald E. Moore III & Roland Smith: The red wolf as a model for carnivore re-introductions.
Influence of planting stocks on the survival and growth of Nuttall and cherrybark oak planted on lands damaged by Hurricane Katrina

Bare-root, container, and root production method (RPMTM) seedlings of Nuttall oak (Quercus texana Buckley) and cherrybark oak (Q. pagoda Ell.) were planted on lands damaged by Hurricane Katrina in southern Mississippi to compare the height growth, groundline diameter (GLD) growth, and survival of the different planting stocks. Two study areas were divided into three replicates containing six treatment combinations with 100 seedlings per replicate. Tree shelters were used on half of the bare-root seedlings to determine their effect on height, GLD growth, and survival of the seedlings. Height and GLD growth were greater in RPMTM seedlings compared to bare-root or container seedlings after one growing season. Bare-root seedlings exhibited greater height and GLD growth than container seedlings. Tree shelters increased height growth of bare-root seedlings; however, sheltered bare-root seedlings exhibited less GLD growth than unsheltered seedlings. Cherrybark oak exhibited greater height growth than Nuttall oak, whereas Nuttall oak exhibited greater GLD growth than cherrybark oak across all planting stocks. Th ere was no significant difference among the planting stocks after the first growing season.
A Dual-Band Dual-Polarized Base Station Antenna Array With Isolation Enhancement

In this paper, a dual-band dual-polarized antenna with isolation enhancement is designed. The proposed antenna operates in the frequency range of 3.4–3.6 GHz and 4.8-5 GHz, where the center frequency of the high band (HB) is 1.4 times that of the low band (LB). Two radiating patches are placed in different layers to create the two distinct resonances and the bottom patch which is shorted to the ground by four metal posts acts as the ground for the top patch antenna. A metal wall is introduced between LB feeding probes to enhance the polarization isolation to more than 25 dB. Complementary split-ring resonator (CSRR) structures are etched on the feedlines to improve the cross-band isolation to over 25 dB. Based on this antenna element, a $1\times 4$ -element linear array is constructed with SRR-loaded baffles positioned between adjacent elements to suppress the mutual coupling. Measured results show that the proposed antenna and its array are good candidates for 5G base station applications.
Foot Temperature by Infrared Thermography in Patients with Peripheral Artery Disease before and after Structured Home-Based Exercise: A Gender-Based Observational Study

Decreased arterial perfusion is a typical condition of patients with peripheral artery disease (PAD), with the microvascular picture particularly present among women. This observational study aimed to detect foot perfusion changes by infrared thermography (IRT) after a home-based exercise program in both sexes. A total of 76 PAD patients with claudication (72 ± 4 years; 52 males) were enrolled in a structured in-home exercise program composed of two daily 8 min interval walking sessions (1:1 walk:rest ratio) with progressively increasing speed. Outcome measures collected at baseline (T0) and at each hospital visit after 5 weeks, 12 weeks and 20 weeks included foot temperature measured by IRT (anterior tibial, posterior tibial, dorsalis pedis and arcuate artery regions), ankle brachial index and the 6 min walking test. After 20 weeks, foot temperature in both limbs showed a significant increasing trend, with a mean variation of 1.3 °C for the more impaired limb and 0.9 °C for the contralateral limb (t = 8.88, p < 0.001 and t = 5.36; p < 0.001, respectively), with significant changes occurring after 5 weeks of training. The sex-oriented analysis did not highlight any significant difference, with an improvement of mean foot temperature of 1.5 ± 0.6 °C in females versus 1.2 ± 0.5 °C in males (p = 0.42). Ankle brachial index and performance also significantly improved over time (p < 0.001) without gender differences. In patients with PAD, a structured low-intensity exercise program significantly improved foot temperature and exercise capacity without any sex-related difference.
Bone Tissue Engineering (BTE) of the Craniofacial Skeleton, Part I: Evolution and Optimization of 3D-Printed Scaffolds for Repair of Defects

Bone tissue regeneration is a complex process that proceeds along the well-established wound healing pathway of hemostasis, inflammation, proliferation, and remodeling. Recently, tissue engineering efforts have focused on the application of biological and technological principles for the development of soft and hard tissue substitutes. Aim is directed towards boosting pathways of the healing process to restore form and function of tissue deficits. Continued development of synthetic scaffolds, cell therapies, and signaling biomolecules seeks to minimize the need for autografting. Despite being the current gold standard treatment, it is limited by donor sites’ size and shape, as well as donor site morbidity. Since the advent of computer-aided design/computer-aided manufacturing (CAD/CAM) and additive manufacturing (AM) techniques (3D printing), bioengineering has expanded markedly while continuing to present innovative approaches to oral and craniofacial skeletal reconstruction. Prime examples include customizable, high-strength, load bearing, bioactive ceramic scaffolds. Porous macro- and micro-architecture along with the surface topography of 3D printed scaffolds favors osteoconduction and vascular in-growth, as well as the incorporation of stem and/or other osteoprogenitor cells and growth factors. This includes platelet concentrates (PCs), bone morphogenetic proteins (BMPs), and some pharmacological agents, such as dipyridamole (DIPY), an adenosine A2A receptor indirect agonist that enhances osteogenic and osteoinductive capacity, thus improving bone formation. This two-part review commences by presenting current biological and engineering principles of bone regeneration utilized to produce 3D-printed ceramic scaffolds with the goal to create a viable alternative to autografts for craniofacial skeleton reconstruction. Part II comprehensively examines recent preclinical data to elucidate the potential clinical translation of such 3D-printed ceramic scaffolds.
Yemen : a Lonely Planet travel survival kit

Facts about the country facts for the visitor getting there and away getting around San'A San'A Province Al-Mahwit Hajja Sa'Da Al-Hudayda Ta'Izz Ibb Dhamar Al-Baydha Ma'Rib Al-Jawf Aden Lahej Abyan Shabwa Hadhramawt Al-Mahra glossary.
Aloe adigratana Reynolds: Preliminary Phytochemical Screening, Proximate Content, Essential Oil Analysis, and In Vitro Antifungal Activity Studies of Its Leaf Peels and Gel

Background Aloe species are among the most significant plants with several applications. Many of the species, however, are underexplored, owing to their scarcity and limited geographical distribution. A. adigratana Reynolds, which is common in Ethiopia, is one of the little-studied and endangered Aloe species. Objective This preliminary study focuses on the phytochemical screening, proximate analysis, essential oil content, and antifungal activities of A. adigratana leaf peels. Antifungal activities were also tested on the gels of the plant for comparison. Methods Standard procedures were used for phytochemical and proximate composition studies. Essential oil analysis was performed using a gas chromatography-mass spectrometry instrument. Using the well-diffusion method, investigations on antifungal activity were performed on three clinically isolated specimens of dandruff-causing fungus; namely, Malassezia furfur, Malassezia restricta, and Malassezia globosa. Results The leaf peels of A. adigratana contained alkaloids, flavonoids, tannins, and terpenes. The mean moisture, ash, and crude fat levels were 85.69, 92.20, and 8.00%, respectively, whereas the mean total protein and mean total carbohydrate values were 2.59 and 3.04%. Gas chromatography-mass spectrometry investigation confirmed the presence of fifteen essential oils. The most prevalent essential oil component was discovered to be phytol (33.78%), followed by decane (11.29%). In a dose-dependent way, the leaf latex and gel extracts prevented the growth of three dandruff-causing Malassezia fungal species (M. furfur, M. restricta, and M. globosa). Both the latex and gel demonstrated the maximum activity on M. globosa, the most prevalent fungus in the research area, with minimum inhibitory concentrations of 0.24 and 0.48 mg/mL and minimum fungicidal concentrations of 0.48 and 0.97 mg/mL, respectively. Conclusion In general, the proximate and essential oil compositions of A. adigratana leaves were comparable to those of other Aloe species widely used in the food, cosmetic, and pharmaceutical industries, implying that A. adigratana could be a potential future plant for such industries.
Deep Reinforcement Learning for Joint Service Placement and Request Scheduling in Mobile Edge Computing Networks

Mobile edge computing aims to provide cloud-like services on edge servers located near Mobile Devices (MDs) with higher Quality of Service (QoS). However, the mobility of MDs makes it difficult to find a global optimal solution for the coupled service placement and request scheduling problem. To address these issues, we consider a three-tier MEC network with vertical and horizontal cooperation. Then we formulate the joint service placement and request scheduling problem in a mobile scenario with heterogeneous services and resource limits, and convert it into two Markov decision processes to decouple decisions across successive time slots. We propose a Cyclic Deep Q-network-based Service placement and Request scheduling (CDSR) framework to find a long-term optimal solution despite future information unavailability. Specifically, to solve the issue of enormous action space, we decompose the system agent and train them cyclically. Evaluation results demonstrates the effectiveness of our proposed CDSR on user-perceived QoS.
Knowledge Evolution in Agroecology in Mediterranean Areas: A Bibliometric Analysis

The loss of productivity of agri-food systems today is known, partly related to biodiversity loss. To reverse this situation, adopting sustainable agri-environmental practices has been proposed. However, there are not enough studies in the scientific literature to explain why in-depth transformations to sustainable agroecological models are not taking place at all scales and dimensions. Therefore, based on the number of publications and trend topics, this study aims to analyse the evolution of knowledge in “agroecology” and see if its development is linked to climate policies and. agreements. A survey of all the scientific articles collected on the Web of Science (WoS) between 1992 and 2022 by affiliated authors from France, Spain, Italy, Portugal, and Greece is carried out. For the analysis, a bibliometric analysis was performed (with R 3.6.2 (Biblioshiny package)). The first publications were observed in 1992. More than 95% of the publications took place in 2011. French research institutions led this trend, publishing 55% of the articles. The evolution of knowledge observed over the last few years has been linked to the transition towards sustainable agriculture through the study of agroecological practices, e.g., “agroforestry”, able to face different challenges related to loss of “biodiversity” and “climate change.
A Stock Assessment of Atlantic salmon in Large Riverine Catchments

I ACKNOWLEDGEMENTS . III TABLE OF CONTENTS . VII LIST OF FIGURES . XI LIST OF TABLES . XVIII GLOSSARY OF TERMS . XXI CHAPTER 1 . 1 1.0 INTRODUCTION . 1 1.1 THE ATLANTIC SALMON (SALMO SALAR) . 3 1.2 DECLINING STOCKS . 4 1.2.1 Exploitation and Conservation – International and National Obligations . 5 1.2.2 National Policy . 5 1.3 ATLANTIC SALMON STOCK DECLINES IN IRELAND AND IRISH CONSERVATION MEASURES . 6 1.3. 1 The Importance of Conservation Limits and Accurate Atlantic salmon Stock Assessment Data . 7 1.4 STOCK ASSESSMENT METHODOLOGY . 8 1.4. 1 Direct Stock Assessment Techniques . 8 1.4. 2 Indirect Stock Assessment Techniques for Adult and Juvenile Assessments . 16 1.5 GENETIC STOCK IDENTIFICATION (GSI) . 22 1.5. 1 The Importance of Genetic Stock Identification for Fisheries Management . 22 1.6 ENVIRONMENTAL VARIABLES AFFECTING ATLANTIC SALMON MIGRATIONS . 23 1.6. 1 Rainfall Patterns . 24 1.6. 2 Changes in Air and Water Temperatures . 24 1.6. 3 Climate Change . 25 1.7 STUDY RATIONALE THE STOCK ASSESSMENT OF ATLANTIC SALMON ON LARGE RIVER SYSTEMS. 27 1.7. 1 Aims and Objectives . 27 CHAPTER 2 . 30 2.0 MATERIALS AND METHODS . 30 2.1 SITE DESCRIPTIONS . 30 2.1.1 The River Moy . 30 2.1.2 The River Deel Test Tributary . 34 2.2 DIRECT COUNTING METHODS. 34 2.2.1 Existing Stock Assessment Methodology Tested, River Moy . 34 2.2.2 DIDSON – Dual Frequency Identification Sonar . 39 2.2.3 DIDSON Installation and Operation . 40 2.3 INDIRECT STOCK ESTIMATE OF ADULT AND JUVENILE . 68 2.3. 1 The Operation of a Screw Trap as a Method for Stock Assessment of Atlantic salmon Smolt, River Deel . 69 2.4 STATISTICAL ANALYSIS SMOLT DATA MARK-RECAPTURE STUDY . 74 2.4. 1 Mark-recapture Data Analysis Models Tested and their Assumptions . 75 2.4. 2 Use of Atlantic salmon Smolt Migration Data for the Prediction of Returning Grilse Estimates. 82 2.5 THE COMBINED USE OF DIDSON HYDROACOUSTIC TECHNOLOGY AND GENETIC STOCK IDENTIFICATION, RIVER DEEL, MOY CATCHMENT. 84 2.5. 1 Populations Estimates for the River Moy based on Genetic Stock Identification and the River Deel DIDSON Stock Assessment . 84 2.5. 2 Collection of Genetic Material. 86 2.5. 3 Genetic Baseline . 89 2.5. 4 Statistical Analysis . 92 2.5. 5 Mixed Stock Analysis of Fishery Samples . 95
A Low-cost, Flexible Electrochemical Sensor for Nitrate Detection in Water

This study presents the development and evaluation of a flexible, screen-printed electrochemical sensor for detecting nitrate levels in water. The sensor was composed of a working and a reference electrode. The working electrode was coated with a nanocomposite of poly(3-octyl-thiophene) and molybdenum disulfide and a nitrate-selective layer to improve sensitivity and selectivity. The sensor demonstrated high sensitivity of 9.91 mV/ppm and 8.99 mV/ppm when tested in deionized and lake water, respectively. Additionally, the sensor exhibited excellent repeatability under bending deformations and stability underwater for up to 4 days. Overall, this work offers a scalable and cost-effective solution for continuous monitoring of nitrate levels in direct lake water.
Location-Based Visible Light Communication

Visible light communication (VLC) takes its place among wireless access technologies as an alternative to radio frequency (RF) systems. Although VLC has significant advantages over RF systems (not being affected by electromagnetic interference (EMI), having a wide spectrum range, energy efficiency, etc.), it also has its own problems. One of these problems is the high correlation between channels in multiple-input multiple-output (MIMO) structures. In this paper, a receiver structure with adjustable azimuth and elevation angles is proposed for MIMO VLC. The position of the receiver is determined by means of the receiver signal strength indicator (RSSI) parameter. The best angles were set for the MIMO receiver using positioning data. Repetition coding (RC) and spatial multiplexing (SMP) are used as MIMO schemes and bit error rate (BER) performance is obtained. The proposed receiver structure provides SNR gains at different locations in both schemes.