Miracle-dz/UniFAR-FTUs huggingface dataset:
Beside the Seaside: Reflections on Local Green and Blue Spaces from Adults Aged over 50 in a Coastal Community

This qualitative study examined the perceptions of potential wellbeing benefits of local green and blue spaces for adults aged over 50 years in a coastal town in North West England. At a population level, living close to green and blue spaces is associated with better mental and physical health, with the strength of the benefits being inversely related to the economic prosperity of an area. However, living in economically disadvantaged coastal communities may be associated with poorer health and wellbeing, particularly for older adults, despite the proximity to blue (and often green) space. Exploring this apparent paradox was the aim of the present study. Through semi-structured interviews with members of a community group, we gained insight into lived experiences of local green and blue spaces. The main themes we developed from analysis of the conversations were accessibility, amenities, social connections, quality of environment, and recuperation and escape. Our findings illustrate that participants valued natural spaces that were local and accessible, particularly when they felt connected to them, and were less likely to visit spaces that were further away and that were perceived as being less welcoming or accessible. This study provides insights into the experiences of adults aged over 50 living in coastal areas and suggests that policies and interventions aimed at promoting wellbeing in this demographic should consider the value of hyper-local green and blue spaces and their potential to promote connectedness to nature.
Humoral and Cellular Immune Responses of People Living With Human Immunodeficiency Virus After 3 Doses of Messenger RNA BNT162b2 Severe Acute Respiratory Syndrome Coronavirus 2 Vaccine: A Prospective Cohort Study

Abstract Background Recent studies have shown good serological and cellular immune responses in people living with human immunodeficiency virus (PLWH) after receipt of 2 doses of messenger RNAA (mRNA) severe acute respiratory syndrome coronavirus 2 vaccine. Data are missing regarding the response after 3 vaccine doses. Methods We followed up a group of PLWH who received 3 doses of the mRNA BNT162b2 vaccine and for whom data of humoral immune response after 2 vaccine doses were available. Patients provided a blood sample 4–6 months after the booster dose. The aim of the study was to measure the serological and cellular response after the third dose and to evaluate factors associated with the vaccine response. Results Fifty patients have provided a serum sample for serological evaluation after the booster. The anti–receptor-binding domain (RBD) immunoglobulin (Ig) G titers were higher after the booster with a median delta of 3240 arbitrary units/mL. The median CD4+ T-cell count was 660/μL (interquartile range, 515–958/μL) and had no influence on the antibody level. Factors associated with lower delta included higher CD8+ T-cell count (P = .02) and longer time between the third dose and the blood test (P = .01). Higher anti-RBD IgG titer after the second vaccine (P = .03), as well as a longer interval between second and third doses (P = .031) were associated with higher delta. There was no increase in the median number of activated interferon γ+ and tumor necrosis factor α+ CD4+ T cells after the booster (n = 8). Conclusions The anti-RBD IgG level after 3 doses of mRNA BNT162b2 vaccine was higher than the level after 2 doses, suggesting additional value of the booster. Cellular response did not further increase after a booster.
MORPHOMETRIC STUDY OF LUNG FISSURE AND ITS VARIATIONS; A CADAVERIC STUDY FROM MARATHWADA REGION

Address for Correspondence: Dr Mukta Pande, C/o Dr Vinod Gosavi, Flat 8, F building Jabinda Residency Deva Nagari , Near Shahanur Darga Aurangabad, Maharashtra, India. Mobile number-9421741624 E-Mail: mukta10pande@gmail.com Background: With the increase in air pollution; incidence of respiratory diseases varying from viral infections to lung cancers is increased and hence to know lung anatomy and its variation is important for physicians, cardiopulmonary surgeons and medical undergraduates. Purpose of study: to study the morphological variation of the lung fissures. 46 formalin preserved cadaveric lungs allotted to undergraduate students in Anatomy Department of MGM medical college Aurangabad were studied for variations and morphometry of lung fissures. Results: Out of 46 cadaveric lungs of unknown gender 22 were right sided and 24 were of left side. Amongst 22 right lungs; 17 (77.27%) lungs have well developed oblique fissure; while 5 (22.72%) lungs had incomplete oblique fissures. Only 5(22.72%) right lungs had complete horizontal fissure, 14(63.63%) right lungs had incomplete horizontal fissures 3(13.63%) lungs had absent horizontal fissure. Out of 24 left lungs 18(75%) specimens have well developed oblique fissure,6 (25%) left lungs have incomplete oblique fissure while 1(4.16%) left lung had incomplete horizontal fissure. Present study had incomplete accessory fissure in 3 lung specimen of which 1 right lung had superior accessory fissure and 2 left lungs had inferior accessory fissure. There are very few studies on lung fissure for Marathwada population. Conclusion: Present study gives idea about possible variations in lung fissures. Present study supports the frequent occurrance of variations of lungs fissures and lobes. Prior information of such variations is important for cardiothoracic surgeons and pulmonologists to avoid post operative complications of surgery or lung procedures.
Numerial Study of Vortex-Induced Vibration of Circular Cylinder Adjacent to Plane Boundary Using Direct-Forcing Immersed Boundary Method

Vortex-induced vibration (VIV) is an important physical phenomenon as one design a riser or a cylindrical structure in ocean. As the riser or the cylindrical structure is adjacent to a seabed, the boundary effect on VIV is not fully understood yet. The direct-forcing immersed boundary (DFIB) method is used to investigate a two-degree-of-freedom VIV of a flexible supported circular cylinder adjacent to a plane boundary in this study. Furthermore, the effect of the VIV of cylinder on skin friction of the plane boundary is investigated. The effects of varying reduced velocity and gap ratio on VIV are discussed. Only a single vortex street is found when the cylinder is close to plane boundary. Hydrodynamic coefficients of the freely vibrating cylinder are analyzed in time and spectral domains. Furthermore, nearly round oval-shaped motion is observed as the so-called lock-in phenomenon occurs. The skin friction of the plane boundary is predicted by the DFIB model. Results show that the vibrating cylinder in the boundary layer flow can reduce the friction effectively. This proposed DFIB model can be useful for the investigation of VIV of the structures under the plane boundary effect even for a small gap between the cylinder and the boundary.
Sliding inguinal hernia: a technical challenge

Sliding inguinal hernia continues to be the most challenging hernia to treat. Both diagnosis and treatment pose a dilemma to the attending surgeon. Understanding the pathological anatomy of the sliding inguinal hernia is essential for optimal choice of surgical procedure without causing damage to the involved viscera. A case of sliding inguinal hernia is presented to highlight the diagnostic and technical challenges for repair of sliding hernia. Majority of sliding hernias are diagnosed at the time of surgery. Sigmoid colon is a commonest content in a left sided sliding hernia. Bevan’s technique is best suited to deal with the sac followed by Lichtenstein tension-free mesh repair.
Manifestations of bright points observed in G-band and Ca II H by Hinode/SOT

An algorithm was developed for identifying and tracking a magnetic bright point, or bright point (BP) for short, observed in both the photosphere (G-band) and chromosphere (Ca II H), as well as for pairing a photospheric BP (PBP) with its conjugate chromospheric BP (CBP). Two sets of data observed by Hinode/SOT in the quiet Sun near the disk center were analyzed. About 278 PBP-CBP pairs were identified and tracked. Lifetimes of both the PBPs and CBPs follow an exponential distribution with average lifetimes of 174 s and 163 s, respectively. We found that the differences in appearance time, in disappearance time and in lifetime of the two kinds of BPs all follow Gaussian distributions, which may indicate that the mechanisms of PBP and CBP formation/disintegration are different. However, the lifetimes of PBPs and CBPs are positively correlated with one another, with a correlation coefficient of 0.8. Furthermore, we calculated the horizontal displacement between the PBP and its conjugate CBP, which follows a Gaussian function with an average and standard deviation of (67.7 ± 38.5) km. We also calculated the amplitude of the flux tube shape change which might be caused by MHD waves propagating along the flux tube, and found that it follows an exponential distribution very well.
The Development and Evaluation of Reagentless Glucose Biosensors Using Dendritic Gold Nanostructures as a Promising Sensing Platform

Reagentless electrochemical glucose biosensors were developed and investigated. A graphite rod (GR) electrode modified with electrochemically synthesized dendritic gold nanostructures (DGNs) and redox mediators (Med) such as ferrocenecarboxylic acid (FCA), 1,10-phenathroline-5,6-dione (PD), N,N,N′,N′-tetramethylbenzidine (TMB) or tetrathiafulvalene (TTF) in combination with glucose oxidase (GOx) (GR/DGNs/FCA/GOx, GR/DGNs/PD/GOx, GR/DGNs/TMB/GOx, or GR/DGNs/TTF/GOx) were developed and electrochemically investigated. A biosensor based on threefold-layer-by-layer-deposited PD and GOx (GR/DGNs/(PD/GOx)3) was found to be the most suitable for the determination of glucose. To improve the performance of the developed biosensor, the surface of the GR/DGNs/(PD/GOx)3 electrode was modified with polypyrrole (Ppy) for 5 h. A glucose biosensor based on a GR/DGNs/(PD/GOx)3/Ppy(5 h) electrode was characterized using a wide linear dynamic range of up to 39.0 mmol L−1 of glucose, sensitivity of 3.03 µA mM−1 cm−2, limit of detection of 0.683 mmol L−1, and repeatability of 9.03% for a 29.4 mmol L−1 glucose concentration. The Ppy-based glucose biosensor was characterized by a good storage stability (τ1/2 = 9.0 days). Additionally, the performance of the developed biosensor in blood serum was investigated.
Dual Principal Component Pursuit and Filtrated Algebraic Subspace Clustering

Recent years have witnessed an explosion of data across scientific fields enabled by advances in sensor technology and distributed hardware systems. This has given rise to the challenge of efficiently processing such data for performing various tasks, such as face recognition in images and videos. Towards that end, two operations on the data are of fundamental importance, i.e., dimensionality reduction and clustering, and the idea of learning one or more linear subspaces from the data has proved a fruitful notion in that context. Nevertheless, state-of-the-art methods, such as Robust Principal Component Analysis (RPCA) or Sparse Subspace Clustering (SSC), operate under the hypothesis that the subspaces have dimensions that are small relative to the ambient dimension, and fail otherwise. This thesis attempts to advance the state-of-the-art of subspace learning methods in the regime where the subspaces have high relative dimensions. The first major contribution of this thesis is a single subspace learning method called Dual Principal Component Pursuit (DPCP), which solves the robust PCA problem in the presence of outliers. Contrary to sparse and low-rank state-of-the-art methods, the theoretical guarantees of DPCP do not place any constraints on the dimension of the subspace. In particular, DPCP computes the ii
Antimicrobial prescription pattern in the Deido health district, Douala, Cameroon

Inappropriate antimicrobial prescriptions are among the highest contributing factors to Antimicrobial Resistance (AMR). Most low and middle-income (LMICS) countries with high AMR burdens like Cameroon, seldom document information on prescription patterns, whereas this information is crucial in addressing inappropriate antimicrobial prescriptions. This study was therefore designed to elucidate antimicrobial prescription patterns in order to tailor interventions to mitigate AMR in Cameroon. The study adopted a multicentre cross-sectional design. Information on antimicrobial prescriptions was collected from four hospitals within the Deido Health District, between October 2019 and March 2020. Of the 1398 participants that were enrolled in the study, the most presented age group were participants aged 15-45 years 913(65.3%) and prescriptions were higher amongst females (923,53.6%). The highest number of antimicrobial prescriptions was made in the outpatient department 592(42.3%) followed by the pediatric unit, 344(24.6%). Most of the prescriptions were for patients with respiratory tract infections 436 (31.2%), followed by those with digestive tract infections 248 (17.7%). The most frequently prescribed class of drugs were the Penicillins 690 (40.3%, 37.8 – 42.6), with Amoxicillin clavulanic acid accounting for 27.8% of the overall prescriptions followed by Cephalosporins 392 (22.7, 20.6 – 24.7), with Ceftriaxone being the most prescribed in the class (13.3%). The need for prescription was mainly determined by clinical judgement (61.1%), while only 9.5% of prescriptions were based on antimicrobial sensitivity test. In the struggle to mitigate AMR, there is a great need to exploit data on prescription patterns and develop stewardship programs in order to optimise antimicrobial use in Cameroon. We emphasize in this communication the potential benefits and outcomes of foresight thinking, such as improved resilience, better resource allocation, and effective response strategies.
Joint reconstruction of dynamic PET activity and kinetic parametric images using total variation constrained dictionary sparse coding

Dynamic positron emission tomography (PET) is capable of providing both spatial and temporal information of radio tracers in vivo. In this paper, we present a novel joint estimation framework to reconstruct temporal sequences of dynamic PET images and the coefficients characterizing the system impulse response function, from which the associated parametric images of the system macro parameters for tracer kinetics can be estimated. The proposed algorithm, which combines statistical data measurement and tracer kinetic models, integrates a dictionary sparse coding (DSC) into a total variational minimization based algorithm for simultaneous reconstruction of the activity distribution and parametric map from measured emission sinograms. DSC, based on the compartmental theory, provides biologically meaningful regularization, and total variation regularization is incorporated to provide edge-preserving guidance. We rely on techniques from minimization algorithms (the alternating direction method of multipliers) to first generate the estimated activity distributions with sub-optimal kinetic parameter estimates, and then recover the parametric maps given these activity estimates. These coupled iterative steps are repeated as necessary until convergence. Experiments with synthetic, Monte Carlo generated data, and real patient data have been conducted, and the results are very promising.
Using Grid Search and Guided Random Search (Simulated Annealing) Methods in Determining the Earthquake Hypocenter in the Majalengka Region, West Java on November 11, 2021

Tectonic earthquakes are generally caused by the release of energy produced by a pressure from a moving slab. This study aimed to test the use of grid search methods and guided random search in determining the hypocenter position of the earthquake in the case of the Majalengka regional earthquake, West Java which occurred on November 11, 2021. In this study used earthquake source data with the number of 5 stations, are COCO, KAPI, PALK, MBWA, and NWAO which can be accessed on the IRIS. From the results of determining the earthquake hypocenter using the grid search method, the position of the earthquake hypocenter is obtained with a latitude position of 6.596861oS and for a longitude position of 108.2871°E with a depth of 200 km, while from the processing of the simulated annealing method, the latitude position is 6.501645°S and longitude 108.2252°E with depth of 172.1 km. Meanwhile, if we compare the position of the earthquake hypocenter according to IRIS, are the latitude position of 6.6027°S and for the longitude position of 108.105°E with a depth of 164.41 km, because the hypocenter data from IRIS has been revised by a seismologist so that it is used as a reference, the results that are closest to the position according to IRIS are the results of the simulated annealing method.
Reprocessing of HIRS Satellite Measurements from 1980 to 2015: Development toward a Consistent Decadal Cloud Record

AbstractThis paper presents the cloud-parameter data records derived from High Resolution Infrared Radiation Sounder (HIRS) measurements from 1980 through 2015 on the NOAA and MetOp polar-orbiting platforms. Over this time period, the HIRS sensor has been flown on 16 satellites from TIROS-N through NOAA-19 and MetOp-A and MetOp-B, forming a 35-yr cloud data record. Intercalibration of the Infrared Advanced Sounding Interferometer (IASI) and HIRS on MetOp-A has created confidence in the onboard calibration of this HIRS as a reference for others. A recent effort to improve the understanding of IR-channel response functions of earlier HIRS sensor radiance measurements using simultaneous nadir overpasses has produced a more consistent sensor-to-sensor calibration record. Incorporation of a cloud mask from the higher-spatial-resolution Advanced Very High Resolution Radiometer (AVHRR) improves the subpixel cloud detection within the HIRS measurements. Cloud-top pressure and effective emissivity (ef, or cloud em.
The Role of Entrepreneurial Competencies: Successful Key Smes a Literature Review

Purpose: SMEs have been shown in various previous studies to contribute significantly to GDP and survive in different economic conditions. However, entrepreneurs must possess key competencies to be competitive and stay in the long run. This paper aims to describe the role of entrepreneurial competencies in SMEs success through a literature review. Theoretical framework: This study provides a summary of the literature on entrepreneurial competence topics which include knowledge, attitudes and skills which are the basis for effective business performance, potential for success in work, creating a business environment to increase entrepreneurial will. The important role of entrepreneurial competence is part of the literature review providing a strong basis for further research Desain/metodologi/approach: By conducting a literature review and analyzing empirical data, we seek to deepen our understanding of entrepreneurial competence and identify its key role in the success of SMEs. Finding: Our findings suggest that entrepreneurial competencies, including business skills, management, human relations, conceptual understanding, and attitude, are crucial to the success of SMEs. Developing these competencies can lead to more competitive and sustainable SMEs businesses, ultimately contributing to national economic growth. Research, Practical & Social implications: This study contributes to a better understanding of the important role of entrepreneurial competence in achieving maximum performance in an effort to develop entrepreneurial attitudes and behavior skills which form the basis of economic growth and become the main competence for developing employability in society. Originality/value: The added value of this study serves as a guide on how important the role of entrepreneurial competence is in achieving entrepreneurial success. Continuous improvement of entrepreneurial competence in business is urgently needed to achieve maximum performance for SMEs in Indonesia so that they can grow and develop as pillars of economic growth.
Associations between adiposity, diabetes, lifestyle factors and the risk of gliomas

Background Despite numerous observational studies linking adiposity, diabetes, and lifestyle factors with gliomas, the causal associations between them remain uncertain. Methods This study aimed to use two-sample Mendelian randomization (MR) analysis to investigate whether these associations are causal. Specifically, independent genetic variants in body mass index (BMI), waist circumference (WC), type 2 diabetes (T2D), smoking, alcohol, and coffee consumption were extracted from the published genome-wide association studies (GWASs) with genome-wide significance. The corresponding summary-level data for gliomas were available from a GWAS of 1,856 cases and 4,955 controls of European descent from the GliomaScan consortium. Additionally, glioma pathogenesis-related protein 1 data were used for validation, and Radial MR analysis was conducted to examine the potential outlier single-nucleotide polymorphisms (SNPs). Results One standard deviation (SD) increase in BMI had an odds ratio (OR) of 1.392 (95% confidence interval (CI), 0.935–2.071) for gliomas, while one SD increase in WC had an OR of 0.967 (95% CI, 0.547–1.710). For T2D, a one-unit increase in log-transformed OR had an OR of 0.923 (95% CI, 0.754–1.129). The prevalence of smoking initiation had an OR of 1.703 (95% CI, 0.871–3.326) for gliomas, while the prevalence of alcohol intake frequency had an OR of 0.806 (95% CI, 0.361–1.083), and the prevalence of coffee intake had an OR of 0.268 (95% CI, 0.033–2.140) for gliomas. Conclusion This study provides evidence that adiposity, T2D, smoking, alcohol drinking, and coffee intake do not play causal roles in the development of gliomas. The findings highlight the importance of reconsidering causal relationships in epidemiological research to better understand the risk factors and prevention strategies for gliomas.
The State of Proof in Finnish and Swedish Mathematics Textbooks—Capturing Differences in Approaches to Upper-Secondary Integral Calculus

ABSTRACT Students’ difficulties with proof, scholars’ calls for proof to be a consistent part of K-12 mathematics, and the extensive use of textbooks in mathematics classrooms motivate investigations on how proof-related items are addressed in mathematics textbooks. We contribute to textbook research by focusing on opportunities to learn proof-related reasoning in integral calculus, a key subject in transitioning from secondary to tertiary education. We analyze expository sections and nearly 2000 students’ exercises in the four most frequently used Finnish and Swedish textbook series. Results indicate that Finnish textbooks offer more opportunities for learning proof than do Swedish textbooks. Proofs are also more visible in Finnish textbooks than in Swedish materials, but the tasks in the latter reflect a higher variation in nature of proof-related reasoning. Our results are compared with methodologically similar U.S. studies. Consequences for learning and transition to university mathematics, as well as directions for future research, are discussed.