Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Open Space Characteristics on the Spatial Distribution of Street Children: Experience from Ibadan, Nigeria

Against the background of seemingly uncontrollable social menace and environmental nuisance of street children, this study examined the effects of open space characteristics on the spatial distribution of street children in Ibadan, Nigeria. With open space types in the city as spatial units of data collection, enumeration of street children was carried out in each space type within 7 weekdays in the morning, afternoon and evening. Observation was also conducted to know the socio-economic and physical characteristics of the urban environment attracting the children. The study, which employed z-scores to compare the intensity of street children incidence across the spatial units, confirmed that the incidence was a function of the uses to which open space types were put as well as the disorderliness of urban physical environment (indiscriminate parking, formal and informal economic activities, and so on). The most important open space types that attracted street children were markets, mosque premises and junctions. Although, incidence of street children was a daily affair in Ibadan, it was highly pronounced in the evening on Saturday, Friday and Monday. The study recommended development of policy measures for regulating the use of open spaces, and giving adequate planning attention to roundabouts, religious centres (mosques in particular) and markets in urban centres. It also recommended public education and enlightenment programme on the negative effects of street children incidence by all stakeholders, and that the aspect of culture of the people that encourages child begging and alms giving should be discouraged in its entirety.
Middle cranial fossa trigeminal schwannoma resection through endoscopic transnasal maxillary sinus approach: A case report and literature review

The endoscopic transnasal maxillary sinus approach is usually performed in resecting tumors located in the pterygopalatine fossa and infratemporal fossa, but is rarely used in the resection of lesions in the middle cranial fossa. Because of the complicated anatomical structure of the middle cranial fossa, trigeminal schwannomas (TSs) located in this region are usually dissected through conventional craniotomy surgical approaches; however, the endoscopic transnasal maxillary sinus approach can be used in resection of middle cranial fossa TSs. The current study presented the case of a 59-year-old man who suffered intermittent headaches for 2 years without other notable medical history and neurological abnormalities. The patient was diagnosed with a middle cranial fossa TS. After imaging and assessment of anatomical features, the tumor was totally resected through the transnasal maxillary sinus approach. Following surgery, the symptoms were relieved and the patient returned to a normal life. Light numbness was complained of in the distribution area of the maxillary nerve of the right side of the face, but this was gradually relieved. Combined with a literature review, the present case indicated that the endoscopic transnasal maxillary sinus approach may provide a safer and more direct option for resecting middle cranial fossa lesions, which is worthy of increased clinical application.
SFGNet detecting objects via spatial fine-grained feature and enhanced RPN with spatial context

Object detection, which is one of the most fundamental visual recognition tasks, has been a hotspot in computer vision. CNN (Convolutional Neural Networks) have been widely employed for building detector. Due to the success of RPN (Region Proposal Network), the two-stage detectors get both classification accuracy and precise regression bounding boxes. However, they still struggle in small-size object detection. In this paper, we present a deep network, namely Spatial Fine-Grained Network (SFGN). The SFGN that exploits Spatial Fine-Grained Features (SFGF) concatenates the higher resolution features, which is fine-grained with the low resolution features and high-level semantic by stacking spatial features for fine-grained features. An enhanced region proposal generator is proposed to get the objectless for small object to obtain a small set of proposal. The contextual information surrounding the region of interest is embedded using local spatial information for increasing the useful information and discriminating the background. For improving the detection performance, we use a simple yet surprisingly effective online hard example mining (OHEM) algorithm for training region proposal generator. It embeds an efficiently implemented soft non-maximum suppression (soft-NMS) for replacing with tradition NMS to obtain consistent improvements without increasing the computational complexity in inference. On PASCAL VOC 2007 and PASCAL VOC 2012 datasets, our SFGN improves baseline model from 81.2% mAP to 80.6% mAP. On MS COCO dataset, SFGN also performs better than baseline model. As intuition suggests, our detection results provide strong evidence that our SFGN improves detection accuracy, especially in small object test.
Theoretical Linkage of Thermionic, Field, and Space-Charge Limited Emission for a Vacuum Crossed-Field Gap

Crossed-field devices, such as magnetrons and crossed-field amplifiers, where an external magnetic field is orthogonal to the electric field across the gap, are used in radars, communications systems, and material processing. Improving the efficiency and power density of crossed-field devices requires a robust understanding of electron emission, particularly when multiple emission mechanisms may contribute, such as for thermionic and field emission. Previous studies of nonmagnetic diodes have theoretically identified the transitions, or nexuses, between multiple electron emission mechanisms by examining the relevant equations defining each individual mechanism and then derived exact theoretical solutions that combined these mechanisms and approached the standard emission equations under appropriate limits. This work extends those studies by incorporating the orthogonal magnetic field and assessing the transitions between the Richardson–Laue–Dushman (RLD) formulation for thermionic emission, the Fowler–Nordheim (FN) equation for field emission, the space–charge limit given by both the general (for nonzero electron injection velocity) and (zero electron injection velocity) Child–Langmuir (CL) (generalized CL (GCL) and CL, respectively) laws for space–charge limited current, and the space–charge limited current for a noninsulated (magnetic field below the Hull cutoff) and insulated (magnetic field above the Hull cutoff) diode. We derive exact solutions for the current density for these mechanisms and demonstrate their asymptotic behavior under relevant conditions. Furthermore, we plot the exact solution of current density $J$ as a function of applied voltage $V$ by incorporating the general thermo-field emission theory for the current source and demonstrate the transition between each emission mechanisms with increasing $V$ for various temperatures and fixed ratios of magnetic field to the Hull cutoff. We also construct nexus plots to identify transitions between the various regimes for different conditions.
Structural Analysis of Mitochondrial Dynamics—From Cardiomyocytes to Osteoblasts: A Critical Review

Mitochondria play a crucial role in cell physiology and pathophysiology. In this context, mitochondrial dynamics and, subsequently, mitochondrial ultrastructure have increasingly become hot topics in modern research, with a focus on mitochondrial fission and fusion. Thus, the dynamics of mitochondria in several diseases have been intensively investigated, especially with a view to developing new promising treatment options. However, the majority of recent studies are performed in highly energy-dependent tissues, such as cardiac, hepatic, and neuronal tissues. In contrast, publications on mitochondrial dynamics from the orthopedic or trauma fields are quite rare, even if there are common cellular mechanisms in cardiovascular and bone tissue, especially regarding bone infection. The present report summarizes the spectrum of mitochondrial alterations in the cardiovascular system and compares it to the state of knowledge in the musculoskeletal system. The present paper summarizes recent knowledge regarding mitochondrial dynamics and gives a short, but not exhaustive, overview of its regulation via fission and fusion. Furthermore, the article highlights hypoxia and its accompanying increased mitochondrial fission as a possible link between cardiac ischemia and inflammatory diseases of the bone, such as osteomyelitis. This opens new innovative perspectives not only for the understanding of cellular pathomechanisms in osteomyelitis but also for potential new treatment options.
Learning in the Time of COVID: Undergraduate Experiences of a Mid-Semester Transition to Virtual Learning due to the COVID-19 Pandemic

Background The COVID-19 pandemic caused an unprecedented mid-semester transition to virtual learning. Instructors and students had to adapt to new ways of delivering and receiving course material. Objective The present investigation examined whether course format and sense of belongingness were associated with learning satisfaction during the COVID-19 pandemic, as well as racial/ethnic or gender identity differences in academic experiences during this time. The current study also explored student perceptions of instructor support, changes in workload, and changes in learning. Method Undergraduate students (N = 157) responded to quantitative and qualitative items regarding their academic experiences during the first semester of the pandemic in an online survey. Results Blended courses were associated with poorer outcomes than solely synchronous and asynchronous courses. There were no racial differences in academic experiences; however, women had more positive academic experiences than men. Greater academic and campus belongingness predicted better academic experiences. Students perceived clear, frequent instructor communication as vital to their success. Conclusion Students’ experiences with virtual learning varied depending on instructor and student factors. Teaching Implications Instructors can improve their students’ experiences with virtual learning by providing frequent, clear communication, resources on effective study and time management skills, and a sense of community.
Combined abnormalities of femoral version and acetabular version and McKibbin Index in FAI patients evaluated for hip preservation surgery

ABSTRACT Frequencies of combined abnormalities of femoral version (FV) and acetabular version (AV) and of abnormalities of the McKibbin index are unknown. To investigate the prevalence of combined abnormalities of FV and AV and of abnormalities of the McKibbin index in symptomatic patients with femoroacetabular impingement (FAI), a retrospective, Institutional Review Board (IRB)-approved study of 333 symptomatic patients (384 hips) that were presented with hip pain and FAI was performed. The computed tomography/magnetic resonance imaging based measurement of central AV, cranial AV and FV was compared among five subgroups with distinguished FAI subgroups and patients that underwent a hip preservation surgery. The allocation to each subgroup was based on AP radiographs. Normal AV and FV were 10–25°. The McKibbin index is the sum of central AV and FV. Of patients that underwent a hip preservation surgery, 73% had a normal McKibbin index (20–50°) but 27% had an abnormal McKibbin index. Of all patients, 72% had a normal McKibbin index, but 28% had abnormal McKibbin index. The prevalence of combined abnormalities of FV and AV varied among subgroups: a higher prevalence of decreased central AV combined with decreased FV of patients with acetabular-retroversion group (12%) and overcoverage (11%) was found compared with mixed-type FAI (5%). Normal AV combined with normal FV was present in 41% of patients with cam-type FAI and in 34% of patients with overcoverage. Patients that underwent a hip preservation surgery had normal mean FV (17 ± 11°), central AV (19 ± 7°), cranial AV (16 ± 10°) and McKibbin index (36 ± 14°). Frequency of combined abnormalities of AV and FV differs between subgroups of FAI patients. Aggravated and compensated McKibbin index was prevalent in FAI patients. This has implications for open hip preservation surgery (surgical hip dislocation or femoral derotation osteotomy) or hip arthroscopy or non-operative treatment.
Does Agriculture Really Matter for Economic Growth in Congo Brazzaville?

African countries are expected to be having a comparative advantage when it comes to agricultural products. If this is true, specializing in agriculture can increase output levels. However, the effect of agriculture on growth has yielded various research interests and the results differ from country to country. The present study investigates the impact of agriculture on economic growth in Congo Brazzaville using the Autoregressive Distributed Lag (ARDL) estimation technique, employing secondary data from 2005 to 2018. Different variables are used such as agricultural value added, the industrial value added, gross fixed capital formation and Corruption Perceptions Index. The results suggest that in the short run; agricultural is significant at the 5% level and has a positive impact on economic growth. Similarly, its lag is also significant at the 1% level and negatively impacts growth. In the long run, on the other hand, agricultural production (agricultural value added) has a negative and insigni-ficant effect on economic growth. Thus, the agricultural sector plays an important role in the early stages of economic development, and when the economy has developed, agriculture plays a minimal role. It is evident from the results of this paper that agriculture is an engine for growth in the short run and should eventually be supported by other macroeconomic policies to pro-mote economic growth in the long run. Congolese farmers must increase productivity in the agriculture sector which plays a primordial role in production and employment in order to enable the development of the industrial sector and therefore boost economic growth.
LiDAR-Based Global Localization Using Histogram of Orientations of Principal Normals

Global localization on LiDAR point cloud maps is a challenging task because of the sparse nature of point clouds and the large size difference between LiDAR scans and the maps. In this paper, we solve the LiDAR-based global localization problem based upon the plane-motion assumption. We first project the clouds into Bird’s-eye View (BV) images and transform the problem into a BV image matching problem. We then introduce a novel local descriptor, i.e., Histogram of Orientations of Principal Normals (HOPN), to perform matching. The HOPN descriptor encodes the point normals of the clouds, and is more effective in matching BV images than the common image descriptors. In addition, we present the consensus set maximization algorithm to robustly estimate a rigid pose from the HOPN matches in the case of the low inlier ratio. The experimental results on three large-scale datasets show that our method achieves state-of-the-art global localization performance when using either single LiDAR scans or local maps.
Multimorbidity and overall comorbidity of sleep apnoea: a Finnish nationwide study

The prevalence of sleep apnoea is increasing globally; however, population-based studies have reported a wide variation of prevalence estimates, and data on incidence of clinically diagnosed sleep apnoea are scant. Data on the overall burden of comorbidities or multimorbidity in individuals with incident sleep apnoea are scarce, and the pathways to multimorbidity have only marginally been studied. To study the current epidemiology of sleep apnoea in Finland, overall burden of comorbidities, and multimorbidity profiles in individuals with incident sleep apnoea, we conducted a register-based, nationwide, retrospective study of data from January 2016 to December 2019. The prevalence of clinically diagnosed sleep apnoea was 3.7% in the Finnish adult population; 1-year incidence was 0.6%. Multimorbidity was present in 63% of individuals at the time of sleep apnoea diagnosis. Of those with incident sleep apnoea, 34% were heavily multimorbid (presenting with four or more comorbidities). The three most common chronic morbidities before sleep apnoea diagnosis were musculoskeletal disease, hypertension and cardiovascular disease. In multimorbid sleep apnoea patients, hypertension and metabolic diseases including obesity and diabetes, cardiovascular diseases, musculoskeletal diseases and dorsopathies, in different combinations, encompassed the most frequent disease pairs preceding a sleep apnoea diagnosis. Our study adds to the few population-based studies by introducing overall and detailed figures on the burden of comorbidities in sleep apnoea in a nationwide sample and provides up-to-date information on the occurrence of sleep apnoea as well as novel insights into multimorbidity in individuals with incident sleep apnoea. Two-thirds of individuals with sleep apnoea are multimorbid at diagnosis and one-third are heavily multimorbid. Dorsopathies, musculoskeletal diseases, hypertension and metabolic diseases are the most common comorbidities preceding sleep apnoea diagnosis. https://bit.ly/36WMlX1
Identification of Serum miRNAs as Effective Diagnostic Biomarkers for Distinguishing Primary Central Nervous System Lymphoma from Glioma

Invasive surgical cerebrum biopsy results in delayed treatment for the definitive diagnosis of primary central nervous system lymphoma (PCNSL). The existent research was aimed at confirming the underlying diagnostic miRNAs of distinguishing PCNSL from glioma. A publicly available miRNA expression profiles (GSE139031) from adult PCNSL as well as glioma specimens were provided by GEO datasets. Differentially expressed miRNAs (DEMs) were filtered between 42 PCNSL patients and 170 glioma patients. Candidate miRNAs were identified through SVM-RFE analysis and LASSO model. ROC assays were operated to determine the diagnostic value of serum miRNAs in distinguishing PCNSL from glioma. StarBase v2.0 was applied to screen the targeting genes of miRNAs, and KEGG analysis was applied using the targeting genes of miRNAs. In this study, we identified 12 dysregulated miRNAs between PCNSL and glioma samples. The ten critical miRNAs (miR-6820-3p, miR-6803-3p, miR-30a-3p, miR-4751, miR-3918, miR-146a-3p, miR-548am-3p, miR-371a-3p, miR-487a-3p, and miR-4756-5p) between these two algorithms were ultimately identified. The results of KEGG revealed that the targeting genes of hsa-miR-3918 were primarily related to MAPK signal pathway, PI3K-Akt signal pathway, and human papillomavirus infection. Overall, bioinformatics analysis revealed that ten miRNAs are potential biomarker for distinguishing PCNSL from glioma.
An Improved Collaborative Algorithm with Artificial Neural Network in Multidisciplinary Design Optimization of AUV

Multidisciplinary Design Optimization (MDO) is the most active field in the design of current complex system engineering, which is possessed with such two difficulties as subsystem information exchange and analytical and computational complexity of systems. Therefore, an improved collaborative optimization algorithm based on ANN (artificial neural network) response surface was proposed dependent on the consistency constraint algorithm and concurrent subspace algorithm. As an optimization method with secondary structure, it satisfied only local constraints in discipline layer, but provided a coordinated mechanism for interdisciplinary conflict in system layer. Finally, it was applied in the multidisciplinary design optimization of autonomous underwater vehicle (AUV). As shown from the result, the MDO convergence stability and reliability of low resistance, low noise and high maneuvering performance of the AUV shape can be ensured by the improved collaborative optimization algorithm, thus verifying the effectiveness of the algorithm.
Quantum Matter Overview

Quantum matter (novel phases of matter at zero temperature with exotic properties) is a growing field with applications in its own domain, and in providing foundational support to quantum sciences fields more generally. The ability to characterize and manipulate matter at the smallest scales continues to advance in fundamental ways. This review provides a plain-language, non-technical description of contemporary activity in quantum matter for a general science audience, and an example of these methods applied to quantum neuroscience. Quantum matter is the study of topologically governed phases of matter at absolute zero temperature that exhibit new kinds of emergent order and exotic properties related to topology and symmetry, entanglement, and electronic charge and magnetism, which may be orchestrated to create new classes of materials and computational devices (including in the areas of spintronics, valleytronics, and quantum computing). The paper is organized to discuss recent developments in quantum matter on the topics of short-range topologically protected materials (namely, topological semimetals), long-range entangled materials (quantum spin liquids and fractional quantum Hall states), and codes for characterizing and controlling quantum systems. A key finding is that a shift in the conceptualization of the field of quantum matter may be underway to expand the core focus on short-range topologically protected materials to also include geometry-based approaches and long-range entanglement as additionally important tools for the understanding, characterization, and manipulation of topological materials.
Holding hope and mastering the possible: mapping resilient moves of asylum-seeking and refugee families post arrival

ABSTRACT Using in-depth interviews, this paper examines the performance of resilient practices by 17 asylum-seeking and refugee families (27 parents, 35 children) living in Belgium, and the ways in which such practices have been facilitated by social professionals (22) in various types of relationships to these families. Different from much research that studies how resilience can be ‘found’ through predictable relationships between pre-identified variables, the present research builds on a constructionist, emic approach that conceptualises resilience as a process that is perpetually unfinished and ‘made’ by negotiated relational practices or ‘resilient moves’. Moreover, although attention to refugee family resilience has recently increased, little empirical research exists that includes the voices of both parents and children of the same families, as well as the input from social professionals surrounding them. The findings suggest that refugee family resilience should be seen as relational behaviour between multiple agents in and surrounding these families. The research also underlines the importance of deconstructing the role of macro-level structures in facilitating or hindering resilient moves. Overall, the findings highlight that resilience is not opposed to vulnerability, but may exist next or through it. This suggests the need for a re-politicisation of resilience in social work.