Miracle-dz/UniFAR-FTUs huggingface dataset:
Academic Resilience of Healthcare Professional Students in Pakistan: Need of the Hour

Introduction: Due to the challenging and competitive academic environment throughout the world, the mental health of students enrolled in healthcare professions is largely affected resulting in burnout and poor quality of life. Lack of academic counseling and poor teaching strategies further aggravates this situation leading to development of poor resilience among healthcare students. The inability to cope with academic stress can provoke serious consequences which needs to be addressed. Objective: The present study was designed to assess academic resilience and its associated factors among healthcare professional students in Pakistan. Methodology: A descriptive cross-sectional study design was used. A pre-validated questionnaire i.e. Connor-Davidson Resilience Scale (CD-RISC) was self-administered to a sample of 382 healthcare professional students selected using convenience sampling technique for measuring resilience. After data collection, data was cleaned, coded and entered in SPSS. Results: The results of the current study highlighted that mean scores of resilience of different healthcare professional students were: Medicine students (70.22, ±13.73), followed by the pharmacy students (66.61, ±15.48) and then nursing students (65.86, ±15.76). Conclusion: The present study concluded moderate academic resilience among students of different healthcare profession. Medicine students were found most resilient, followed by pharmacy and nursing students. Educators and educational institutions must assess and build resilience among healthcare students by identifying the factors to ensure success in this competitive healthcare environment.
Optimal filtering equations in state space model of the two factors mean reverting Ornstein-Uhlenbech process

Abstract This paper investigates a nonlinear state space model for energy markets ruled by a two factor mean reverting Ornstein Uhlenbeck process with a stochastic nonlinear autoregressive drift term. A recursive approach using Taylor series based approximations for filtering, prediction, and smoothing problem of the hidden mean reverting factor from the noisy observations is proposed. The closed-form solutions are obtained for estimating the hidden mean reverting factor. Also, the existence and uniqueness of the solution for this nonlinear system are proved. Finally, the performance of the developed methods is checked in a simulation study.
Short-term wind speed forecasting using the wavelet decomposition and AdaBoost technique in wind farm of East China

The accurate and reliable short-term wind speed forecasting can benefit the stability of the grid operation. However, it is a challenging issue to generate consistently accurate forecasts due to the complex and stochastic nature of wind speed distribution in meteorological interactions. In this study, a novel solution using AdaBoost neural network in combination with wavelet decomposition is proposed to solve the defects of the lower accuracy and enhance the model robustness. Based on the real data provided by sampling device weak wind turbine (type-FD77) in a wind farm plant of East China, the experimental evaluation demonstrates that the proposed strategy can significantly enhance model robustness and effectively improve the prediction accuracy.
Mapping Complex Interventions in Portuguese Healthcare Research: A Scoping Review Protocol

Along with the worldwide recognition of the importance of the methodological guidance to the validity and rigour of complex health interventions, this scoping review aims to identify and characterise the scientific evidence on complex health interventions in Portuguese healthcare research. The Joanna Briggs Institute (JBI) guidance for scoping reviews will be followed. The population (P) concept (C) context (C) mnemonic will scaffold the research questions, inclusion and exclusion criteria, and searching strategy. MEDLINE, CINAHL, LILACS, and Open Access Scientific Repository of Portugal (RCAAP) will be searched. Scientific evidence reporting complex health interventions in the Portuguese healthcare context, in Portuguese and English and published from 2008 and onwards will be considered for inclusion. Literature pertaining to complex health interventions outside the Portuguese healthcare context will be excluded. The literature will be screened for eligibility by two independent reviewers first by title and abstract and subsequently by full-text. A data matrix will be used for data-extraction of the included literature. The charted data will be thematically analysed and presented graphically with a narrative description of the literature characteristics. The results from this literature review are expected to provide an overview of the knowledge concerning the characteristics and methodological guidance of Portuguese complex health interventions.
Responses of the Internal and External Economic Conditions to Exchange Rate Regimes in Nigeria: The Comparative Analysis

Exploring the ARDL modeling techniques, this study hypothesized that the internal and external economic conditions respond differently to exchange rate regimes. Covering the period between 1970 and 2020, the study shows that both fixed regime and intermediate regimes have the potential of causing declining inflation (INFL) compared to floating exchange rate regimes. However, when the economic condition is considered from the external perspective measures using trade balance, the magnitude of the impact of both fixed and intermediate regimes appears to be relatively higher for the external economic condition (trade balance) compared to inflation which is a measure for internal economic condition. More importantly, our findings tend to find support in a number of the previous studies.
Comparison of the Experimental Measurement Methods for Building Envelope Thermal Transmittance

Building energy consumption and ways to reduce it have drawn increasing attention in recent decades. Thermal transmittance is not only a code-enforced parameter during the design and retrofit phase of building assemblies, but also strongly related to the accuracy of whole-building energy modeling. There are several existing methods to measure the building envelope thermal transmittance, and with the development of new techniques, more practical and precise measurement methods have been explored. The study discussed here focused on comparing methods to measure the building envelope thermal transmittance, both in laboratory and for in-situ measurement. Typical research studies related to the Hot Box Test Method, the Heat Flow Meter Method and the Infrared Thermography Method are described and compared. This paper provides a state-of-the-art review of the up-to-date measurement methods for building envelope thermal transmittance and provides alternatives for engineers, architects and researchers to practically measure the building envelope thermal transmittance.
Atrial Fibrillation and Dementia: Epidemiological Insights on an Undervalued Association

Background and objectives: Atrial fibrillation (AF) and dementia are growing causes of morbidity and mortality, representing relevant medical and socioeconomic burdens. In this study, based on data from the Global Burden of Disease Injuries and Risk Factors Study (GBD) 2019, we focused on AF and dementia distribution and investigated the potential correlation between the two epidemiological trends. Materials and Methods: Crude and age-standardized incidence, prevalence, mortality rate, and disability-adjusted life years (DALYs) lost, derived from GBD 2019, were reported for AF and dementia. Global features were also stratified by high and low sociodemographic-index (SDI) countries. Granger test analysis was performed to investigate the correlation between AF and dementia incidence time trends. Results: From 1990 to 2019 crude worldwide incidence and prevalence showed a dramatic increase for both conditions (from 43.24 to 61.01 and from 528.72 to 771.51 per 100,000 individuals for AF, respectively; from 54.60 to 93.52 and from 369.88 to 667.2 per 100,000 individuals for dementia, respectively). In the same timeframe, crude mortality rate doubled for AF and dementia (from 2.19 to 4.08, and from 10.49 to 20.98 per 100,000 individuals, respectively). Age-standardized estimate showed a substantial stability over the years, highlighting the key role of the progressively aging population. Crude estimates of all of the investigated metrics are greater in high SDI countries for both conditions. This association was still valid for age-standardized metrics, albeit by a reduced magnitude, suggesting the presence of higher risk factor burden in these countries. Finally, according to Granger test, we found a significant association between the historical trends of AF and dementia incidence (p = 0.004). Conclusions: AF and dementia burden progressively increased in the last three decades. Given the potential association between these two conditions, further clinical data assessing this relationship is needed.
Deep recurrent neural network‐based Aquila optimization‐based online shaming emotion analysis

Thanks to the emergence of social media and internet platforms, people currently have a plethora of possibilities for openly expressing their thoughts. As a result, it provides millions of ways to create intelligent systems; yet, some people take advantage of these platforms by insulting, harassing, or abusing others. As a result, emotional analysis of online shaming is necessary for avoiding the attackers' negative consequences. In this field, several studies are conducted to classify shaming and non‐shaming comments in order to identify shamers. The optimum classification, on the other hand, has yet to be established. As a result, we introduced a novel deep learning approach known as deep recurrent neural network based classifier, which categorizes the comments. Based on the category. To improve classification accuracy, we used the Aquila optimization algorithm, which improves shaming classification based on category. The experimental analysis is carried out by determining some performance indicators and comparing them to other existing works. The performance analysis reveals that the proposed method outperforms all other approaches.
Social Intrapreneurism and All That Jazz: How Business Innovators are Helping to Build a More Sustainable World

Foreword Introduction 1. How social intrapreneurs are rising to global business and social challenges 2. Understanding individual social intrapreneurs 3. How companies react 4. Enabling environment inside companies5 External enabling environment 5. External enabling environment 6. Impacts of social intrapreneurism 7. Recommendations and practical tips 8. The way ahead Conclusion: Towards a new way of doing business Appendix: Our research References Index About the authors
Polychromatic Assessment of a Refractive Segmented EDOF Intraocular Lens

This study aimed to evaluate in vitro performance refractive segmented EDOF intraocular lenses under polychromatic light using an optical bench that complies with the ISO 11979-2 Norm. The through focus modulation transfer function (TF-MTF) of the Femtis Comfort LS-313 MF15 (Oculentis GmbH, Berlin, Germany) IOL was evaluated for IOLs with three different base powers. The effect of the asymmetry of the segmented designs was evaluated with 3 different wavelengths and with polychromatic light at a 3.0 mm and 5.0 mm pupil diameter. It was demonstrated that the TF-MTF curves exhibit a bifocal profile that, in practice, results in an EDOF design. As a consequence of the LCA, the TF-MTF values in white light were lower than in monochromatic light. Images of the USAF test chart were obtained to confirm the prediction of the TF-MTFs. We found that Femtis Comfort is a bifocal low-addition IOL and this fact can result in an EDOF effect which was obtained previously in clinical trials. Moreover, we showed that the base power influences the IOL optical quality, which results as more effective for high powers (hyperopic eyes) than for low powers (myopic eyes). The LCA of the segmented refractive design was very low and presumably not clinically relevant.
Long-term spatio-temporal variability and trends in rainfall and temperature extremes and their potential risk to rice production in Bangladesh

Understanding the historical and future spatio-temporal changes in climate extremes and their potential risk to rice production is crucial for achieving food security in Bangladesh. This paper presents results from a study on trend analysis for 13 climate metrics that significantly influence rice production. The analysis was conducted using the non-parametric Mann-Kendall test and the Theil-Sen slope estimator methods. The study included data from all available weather stations in Bangladesh and the assessment was done for both the wet (May to October) and dry (November to April) seasons, which cover the growing seasons of the country’s three types of rice: Aus, Aman and Boro. Results show significant decreasing trends for wet season rainfall (>12 mm/season/year in some stations) in the central and north regions. In addition, dry season rainfall is decreasing significantly in many areas, whilst dry season dry spells are increasing throughout Bangladesh. Decrease in rainfall in some of these areas are of concern because of its impacts on rainfed Aus rice and in the sowing/planting of rainfed Aman rice and irrigated dry season Boro rice. The maximum temperatures in the wet season are increasing throughout the country at 0.5°C every ten years, significantly at most of the climate stations. The analysis shows that the number of days with temperature >36°C has significantly increased in 18 stations over the last three decades, which implies a serious risk to Aman rice yield. The current maximum temperatures (both in the wet and dry seasons) are higher than the optimum temperature ranges for rice production, and this will have likely adverse effects on yield in the face of climate change with increasing temperatures. The results herein have practical implications for planning appropriate adaptation policies to ensure food security in the country.
Towards pulsatile multilayer tissue phantoms

Tissue-mimicking optical phantoms are used for a wide variety of purposes, especially the development and routine quality control of bio-optical measurement techniques. We present here the fabrication and evaluation of a multilayer human skin phantom with a pulsating vascular network. The skin-mimicking phantom comprises the three upper skin layers (dermis, epidermis and hypodermis) and the corresponding blood vessels. It is based on polydimethylsiloxane (PDMS) in which absorption and scattering are induced by adding ink as an absorber and titanium dioxide particles as scattering agent. The vessels are fabricated by inserting wires of different diameter at different heights into a mold frame before adding the uncured PDMS and removing them after curing. A circulatory system is constructed using micro-displacement pumps that are connected to the artificial blood vessels. The expansion of the microvasculature in pure PDMS is monitored using a microscope.
FRAMEWORK FOR INTEGRATION OF VERTICAL PUBLIC HEALTH SUPPLY CHAIN SYSTEMS: A CASE STUDY OF NIGERIA

FRAMEWORK FOR INTEGRATION OF VERTICAL PUBLIC HEALTH SUPPLY CHAIN SYSTEMS: A CASE STUDY OF NIGERIA Jibrailu L. Maliyogbinda, Sr and Usman Tijjani FRAMEWORK FOR INTEGRATION OF VERTICAL PUBLIC HEALTH SUPPLY CHAIN SYSTEMS: A CASE STUDY OF NIGERIA Jibrailu L. Maliyogbinda, Sr., 1 (BPharm, MBA, MIAD, MSc., MCIPS, PMP), # 3 MAJILO Street, Plot 563 Kubwa Ext. 2 (Relocation), Abuja-FCT, Nigeria. jibrailu@outlook.com, +234(0)809 599 9911 Usman Tijjani BSc. (Hons), MSc, MPH. , Consultant of Monitoring, Evaluation & Learning (MEL) of Public Health Programs, # 8. , Guava Road, Unguwan Dosa, Kaduna, Kaduna state. tijjaniusman100@gmail.com. +234(0)8065554283. Abstract Purpose: The purpose of this research study is to explore the opinion of public health supply chain experts in Nigeria on the modalities for the integration of vertical public health supply chain systems and to proffer a practical and systematic contextual framework for achieving a seamless integration of vertical supply chain systems in the public health sector. Methodology: This research study was a qualitative thematic content analysis of the views of fifteen respondents from the six geopolitical zones of Nigeria using an interpretive philosophical approach through the theoretical lens of constructivism. Respondents in this study had at least three years’ experience in the management of pharmaceuticals and other health products in one or more public health intervention programs including HIV/AIDS, Tuberculosis & Leprosy, Malaria, Reproductive Health and Family Planning, Vaccines and Immunisation, Neglected Tropical Diseases and Essential Medicines Programmes. Findings: The findings of the research study were based on a holistic and comprehensive approach that included cost benefit analysis, justifications, and circumstances for viable integration of vertical public health supply chain systems, which are relationship management, information integration, product integration and coordination called the four modalities/dimensions/practices of supply chain integration and need to exist in a continuum driven by purposeful leadership. Even though the data collected through semi-structured interviews did not allow for differing views among respondents, the opportunity to freely express one’s opinion resulted in a rich data. Going forward, the government and its development partners need to demonstrate political and financial commitment to the course of integrating vertical public health supply chain systems in the country. The research study for the first time presented a practical and contextual framework for the seamless integration of public health supply chain systems, especially for low- and medium-income countries. Unique contribution to theory, practice, and policy: This research study contributes to the integration of vertical public health supply chain system in Nigeria and proffer practical and systematic contextual framework for achieving a seamless integration of vertical supply chain systems in the public health.
The Impact of Ischemic Stroke on Gray and White Matter Injury Correlated With Motor and Cognitive Impairments in Permanent MCAO Rats: A Multimodal MRI-Based Study

Background Identifying the alterations of the cerebral gray and white matter is an important prerequisite for developing potential pharmacological therapy for stroke. This study aimed to assess the changes of gray and white matter after permanent middle cerebral artery occlusion (pMCAO) in rats using magnetic resonance imaging (MRI), and to correlate them with the behavior performance. Methods Rats were subjected to pMCAO or sham surgery and reared for 30 days. Motor and cognitive function of the rats were examined by gait and Morris water maze (MWM) tests, respectively. Multimodal MRI was conducted to examine the functional and structural changes of the gray and white matter followed with luxol fast blue (LFB) staining. Results The gait and MWM tests revealed significant motor and cognitive dysfunction in pMCAO rats, respectively. Magnetic resonance angiography presented abnormal intracranial arteries in pMCAO rats with reduced signal intensity of the anterior cerebral artery, anterior communicating cerebral artery, internal carotid artery, and increased basilar artery vessel signal compared with sham rats. Arterial spin labeling confirmed the decreased cerebral blood flow in the infarcted sensorimotor cortex and striatum. Structural T2-weighted imaging and T2 mapping showed brain atrophy and elevation of T2 value in the gray (sensorimotor cortex, striatum) and white (external capsule, internal capsule) matter of pMCAO rats. The results from diffusion tensor imaging (DTI) corresponded well with LFB staining showing reduced relative FA accompanied with increased relative AD and RD in the gray and white matter of pMCAO rats compared with sham rats. Fiber tracking derived from DTI further observed significantly reduced fiber density and length in the corresponding brain regions of pMCAO rats compared with sham rats. Specially, the DTI parameters (especially FA) in the relevant gray matter and white matter significantly correlated with the behavior performance in the gait and MWM tests. Conclusion Collectively, the gray and white matter damages could be non-invasively monitored in pMCAO rats by multimodal MRI. DTI-derived parameters, particularly the FA, might be a good imaging index to stage gray and white matter damages associated with post-stroke motor and cognitive impairments.
The Thai SME Open Innovation Food-Machinery Flexibility Model: Six Patterns of Coupled Knowledge Flows

Food machinery SMEs have been essential constitutional actors in Thailand’s food industry. Their participation in food innovation is considerably recognized. However, their innovation logics and practices remain poorly understood. To understand the role of open innovation (OI) in this change, specifically the OI logics and practices in new product development (NPD), the food-machinery framework has been chosen to analyze 109 NPDs in 2 Thai food machinery SMEs. This model identifies the various flows of knowledge between the different actors. The results demonstrated the new OI practices being absent from previous typologies, and six distinctive patterns within the same framework. These alternatives were revealed through the distinction between laboratory and industrial scales. The refined model demonstrated the ability of Thai SMEs to adjust OI logics and practices to the nature of the collaborative strategy associated with each NPD. Finally, the results exposed some Thai SMEs switching their business from generic machinery companies to innovation intermediaries.
A 3D scanner: low footprint piezoelectric tunable optical scanner

We present a unique approach for 3D scanners using a single optomechanical component, the tunable prism-lens. We cointegrated piezoelectric actuators with a fluid chamber bounded by a movable glass window at the top and a flexible membrane at the bottom. We assembled the four bending actuators in perpendicular orientation to achieve a small footprint and attached their free ends to the top glass window with thin beam plates. Thereby, we gain a large clear aperture of 18 mm at a small footprint of only 20x20x2.5 mm3 . The actuators can independently pull or push the glass window at the four corners, leading to a fluid displacement and correspondingly deforming the membrane. A symmetric actuation of all the actuators results in a lens effect, with a tunable focal power range of + 12.5 dpt to -10.5 dpt at a response time of 3.5 ms. Conversely, asymmetric actuation results in a prism effect, with a tunable bi-directional scan angle of ± 1.5° at a response time of 2 ms. Hence, both modes can be combined to achieve a 3-dimensional scan by selective actuation. Our unique single component 3D scanner reduces the size and complexity compared to a conventional mirror-lens setup. In the paper, we present the design, fabrication process, analytical model, and optomechanical characterization.