Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the Cognitive Effect of Newborn Resuscitation Training on Health-care Workers in Selected States in Northern Nigeria

Background: Neonatal deaths contribute significantly to slower progress in under-5 mortality reduction. Lack of sufficiently trained birth assistants partly contributes to early neonatal deaths. Resuscitation training equips frontline health-care workers (HCWs) with requisite knowledge and skills to prevent birth asphyxia. Objective: The objective of this study was to evaluate the immediate impact of newborn resuscitation training on cognitive ability of HCWs. Materials and Methods: This is a descriptive observational study using pre- and posttraining scores obtained by HCWs who were participants in 1-day training on emergency newborn resuscitation. The Newborn Resuscitation Manual of the UK Resuscitation Council (2006) was used to train HCWs. The course included lectures, skill and scenario demonstrations using mannequins, and basic resuscitation equipment. Cognitive knowledge was evaluated using a pre- and post-training questionnaire. Participants' scores were collated, analyzed, and results were presented as tables, charts, and descriptive statistics with P < 0.05 considered statistically significant. Results: A total of 293 HCWs completed the course (81 doctors and 212 nurse/midwives), with variable improvements of mean posttraining marks over the pretraining scores. Resident doctors obtained significantly higher mean pre- and post-training marks with lower mean difference than senior doctors and medical officers. The junior nurses obtained significantly higher mean pretraining scores compared to the senior nursing cadre, while the intermediate nursing cadre obtained significantly higher mean posttraining scores compared to senior nurses. Conclusion: Resuscitation training improved the knowledge of HCWs. Further evaluation could ascertain impacts on knowledge/skills' retention and neonatal survival. Preservice training and continuing education for frontline HCWs who conduct deliveries are recommended.
AgNOR count in exfoliative cytology of normal buccal mucosa. Effect of smoking.

OBJECTIVE To compare the argyrophilic nucleolar organizer region (AgNOR) count of cells collected from normal buccal mucosa of cigarette smokers with that obtained from nonsmokers. STUDY DESIGN Cytologic smears of normal buccal mucosa from 20 smokers and 20 nonsmokers were stained for AgNORs. The AgNOR count was established on 100 cells. The count values of groups were compared and analyzed using Student's unpaired t test. RESULTS The AgNORs were round and had a clustered distribution in both groups. The mean AgNOR count was statistically higher in cells of smokers than nonsmokers (P < .01). CONCLUSION Analysis of AgNORs suggests that cigarette smoking influences proliferative activity in cells of normal buccal mucosa.
A Meta-Analysis of the Association between DNMT1 Polymorphisms and Cancer Risk

Previous studies have examined the associations of DNA methyltransferase 1 (DNMT1) polymorphisms, including single nucleotide polymorphisms rs16999593 (T/C), rs2228611 (G/A), and rs2228612 (A/G), with cancer risk. However, the results are inconclusive. The aim of this meta-analysis is to elucidate the associations between DNMT1 polymorphisms and cancer susceptibility. The PubMed, Embase, Web of Science, and Chinese National Knowledge Infrastructure databases were searched systematically to identify potentially eligible reports. Odd ratios and 95% confidence intervals were used to evaluate the strength of association between three DNMT1 polymorphisms and cancer risk. A total of 16 studies were finally included in the meta-analysis, namely, nine studies of 3378 cases and 4244 controls for rs16999593, 11 studies of 3643 cases and 3866 controls for rs2228611, and three studies of 1343 cases and 1309 controls for rs2228612. The DNMT1 rs2228612 (A/G) polymorphism was significantly related to cancer risk in the recessive model. The meta-analysis also suggested that DNMT1 rs16999593 (T/C) may be associated with gastric cancer, while rs2228611 (G/A) may be associated with breast cancer. In future research, large-scale and well-designed studies are required to verify these findings.
Association of teen mothers’ and grandmothers’ parenting capacities with child development: A study protocol

ABSTRACT Children born to teen mothers may experience less responsive and supportive parenting and are at heightened risk for a range of social, developmental, and health issues. There is literature to support the positive impact of grandmothers on teen parents and their children. However, what if the teen's mother is also limited in her parenting capacities? How do parenting capacities across these two generations of mothers affect the developing child? In this ongoing study we are examining two important aspects of parenting capacities, attachment quality and executive functioning, in teen mothers (TM) and their biological, co‐ residing mothers or grandmothers (GM or GGM). Both are essential components of effective parenting, but little is known about their impact on young children's development when raised by two generations of parents. In a cross‐ sectional, descriptive design, a convenience sample of 50 TM/GM dyads with children 1 to 3 years old is being recruited from two urban teen‐tot clinics. Participants complete a paper‐and‐pencil measure of attachment quality and a computerized measure of multiple aspects of executive function (working memory, inhibitory control, cognitive flexibility). A standardized maternal report measure is used to assess child developmental status. The biggest challenges of the study thus far include recruitment and transience of the study population. Progress to date and experiences from recruitment and data collection are discussed, as well as successful strategies to address challenges.
An empirical study of required dimensionality for large-scale latent semantic indexing applications

The technique of latent semantic indexing is used in a wide variety of commercial applications. In these applications, the processing time and RAM required for SVD computation, and the processing time and RAM required during LSI retrieval operations are all roughly linear in the number of dimensions, k, chosen for the LSI representation space. In large-scale commercial LSI applications, reducing k values could be of significant value in reducing server costs. This paper explores the effects of varying dimensionality. The approach taken here focuses on term comparisons. Pairs of terms are considered which have strong real-world associations. The proximities of members of these pairs in the LSI space are compared at multiple values of k. The testing is carried out for collections of from one to five million documents. For the five million document collection, a value of k ≈ 400 provides the best performance. The results suggest that there is something of an 'island of stability' in the k = 300 to 500 range. The results also indicate that there is relatively little room to employ k values outside of this range without incurring significant distortions in at least some term-term correlations.
Functionally Graded Alloys Obtained by Additive Manufacturing

Recently, techniques allowing for additive manufacturing source used for local melting of the powders. SEBM employs a (AM) of structures and components came into focus of academia and industry. Employing processes such as selective electron beam melting (SEBM) and selective laser melting(SLM),metallic structurescanbeproducedinatool-free manner directly from data provided by a computer-aided design (CAD) file. For this, the parts designed by commercial CAD tools are sliced and transferred to the processingmachine. Obviously, this kind of production will have severe impact on future design andmanufacturing processes. The complexity of parts will be strongly increased, as limitations of currently dominating techniques such as casting and mechanical machining are not carried forward to AM techniques. SEBM and SLM, both employing metal powders as base materials, were developed at the end of the last century based on well-known rapid prototyping techniques, which are in use in many industrial branches. In contrast to the prototyping techniques, e.g., stereo lithography, SEBM and SLM are able to provide parts featuring mechanical properties similar to those of their conventionally processed counterparts. The same holds true for AM techniques employing wires as base material, e.g., shaped metal deposition. But as these wire-based techniques are not able to produce near-net shape filigree parts, the applications are somehow more limited and the focus of research is more on the powder processing techniques, i.e., SEBM and SLM. The main difference between these two techniques is the energy
TeMoto: Intuitive Multi-Range Telerobotic System with Natural Gestural and Verbal Instruction Interface

Teleoperated mobile robots, equipped with object manipulation capabilities, provide safe means for executing dangerous tasks in hazardous environments without putting humans at risk. However, mainly due to a communication delay, complex operator interfaces and insufficient Situational Awareness (SA), the task productivity of telerobots remains inferior to human workers. This paper addresses the shortcomings of telerobots by proposing a combined approach of (i) a scalable and intuitive operator interface with gestural and verbal input, (ii) improved Situational Awareness (SA) through sensor fusion according to documented best practices, (iii) integrated virtual fixtures for task simplification and minimizing the operator’s cognitive burden and (iv) integrated semiautonomous behaviors that further reduce cognitive burden and negate the impact of communication delays, execution latency and/or failures. The proposed teleoperation system, TeMoto, is implemented using ROS (Robot Operating System) to ensure hardware agnosticism, extensibility and community access. The operator’s command interface consists of a Leap Motion Controller for hand tracking, Griffin PowerMate USB as turn knob for scaling and a microphone for speech input. TeMoto is evaluated on multiple robots including two mobile manipulator platforms. In addition to standard, task-specific evaluation techniques (completion time, user studies, number of steps, etc.)—which are platform and task dependent and thus difficult to scale—this paper presents additional metrics for evaluating the user interface including task-independent criteria for measuring generalized (i) task completion efficiency and (ii) operator context switching.
Nonketotic hyperglycinemia: Functional assessment of missense variants in GLDC to understand phenotypes of the disease

The rapid analysis of genomic data is providing effective mutational confirmation in patients with clinical and biochemical hallmarks of a specific disease. This is the case for nonketotic hyperglycinemia (NKH), a Mendelian disorder causing seizures in neonates and early‐infants, primarily due to mutations in the GLDC gene. However, understanding the impact of missense variants identified in this gene is a major challenge for the application of genomics into clinical practice. Herein, a comprehensive functional and structural analysis of 19 GLDC missense variants identified in a cohort of 26 NKH patients was performed. Mutant cDNA constructs were expressed in COS7 cells followed by enzymatic assays and Western blot analysis of the GCS P‐protein to assess the residual activity and mutant protein stability. Structural analysis, based on molecular modeling of the 3D structure of GCS P‐protein, was also performed. We identify hypomorphic variants that produce attenuated phenotypes with improved prognosis of the disease. Structural analysis allows us to interpret the effects of mutations on protein stability and catalytic activity, providing molecular evidence for clinical outcome and disease severity. Moreover, we identify an important number of mutants whose loss‐of‐functionality is associated with instability and, thus, are potential targets for rescue using folding therapeutic approaches.
Object-oriented Bayesian networks for detection of lane change maneuvers

In this paper we introduce a novel approach towards the recognition of typical driving maneuvers in structured highway scenarios and identify some of the key benefits of traffic scene modeling with object-oriented Bayesian networks (OOBNs). The approach exploits the advantages of an introduced lane-related coordinate system together with individual occupancy grids for all vehicles. This combination allows for an efficient classification of the existing vehiclelane and vehicle-vehicle relations in a traffic scene and thus substantially improves the understanding of complex traffic scenes. We systematically propagate probabilities and variances within our network which results in probabilistic sets of the modeled driving maneuvers. Using this generic approach, we are able to classify a total of 27 driving maneuvers including merging and object following.
Gray matter heritability in family‐based and population‐based studies using voxel‐based morphometry

The combination of genetics and imaging has improved their understanding of the brain through studies of aggregate measures obtained from high‐resolution structural imaging. Voxel‐wise analyses have the potential to provide more detailed information of genetic influences on the brain. Here they report a large‐scale study of the heritability of gray matter at voxel resolution (1 × 1 × 1 mm).
Implicit Regularization for Reconstructing 3D Building Rooftop Models Using Airborne LiDAR Data

With rapid urbanization, highly accurate and semantically rich virtualization of building assets in 3D become more critical for supporting various applications, including urban planning, emergency response and location-based services. Many research efforts have been conducted to automatically reconstruct building models at city-scale from remotely sensed data. However, developing a fully-automated photogrammetric computer vision system enabling the massive generation of highly accurate building models still remains a challenging task. One the most challenging task for 3D building model reconstruction is to regularize the noises introduced in the boundary of building object retrieved from a raw data with lack of knowledge on its true shape. This paper proposes a data-driven modeling approach to reconstruct 3D rooftop models at city-scale from airborne laser scanning (ALS) data. The focus of the proposed method is to implicitly derive the shape regularity of 3D building rooftops from given noisy information of building boundary in a progressive manner. This study covers a full chain of 3D building modeling from low level processing to realistic 3D building rooftop modeling. In the element clustering step, building-labeled point clouds are clustered into homogeneous groups by applying height similarity and plane similarity. Based on segmented clusters, linear modeling cues including outer boundaries, intersection lines, and step lines are extracted. Topology elements among the modeling cues are recovered by the Binary Space Partitioning (BSP) technique. The regularity of the building rooftop model is achieved by an implicit regularization process in the framework of Minimum Description Length (MDL) combined with Hypothesize and Test (HAT). The parameters governing the MDL optimization are automatically estimated based on Min-Max optimization and Entropy-based weighting method. The performance of the proposed method is tested over the International Society for Photogrammetry and Remote Sensing (ISPRS) benchmark datasets. The results show that the proposed method can robustly produce accurate regularized 3D building rooftop models.
What should we expect from research through design?

In this essay, I explore several facets of research through design in order to contribute to discussions about how the approach should develop. The essay has three parts. In the first, I review two influential theories from the Philosophy of Science to help reflect on the nature of design theory, concluding that research through design is likely to produce theories that are provisional, contingent, and aspirational. In the second part, I discuss three possible interpretations for the diversity of approaches to research through design, and suggest that this variation need not be seen as a sign of inadequate standards or a lack of cumulative progress in the field, but may be natural for a generative endeavour. In the final section, I suggest that, rather than aiming to develop increasingly comprehensive theories of design, practice based research might better view theory as annotation of realised design examples, and particularly portfolios of related pieces. Overall, I suggest that the design research community should be wary of impulses towards convergence and standardisation, and instead take pride in its aptitude for exploring and speculating, particularising and diversifying, and - especially - its ability to manifest the results in the form of new, conceptually rich artefacts.
Family appraisal of paediatric acquired brain injury: a social work clinical intervention trial

ABSTRACT Objective: To compare the efficacy of a new intervention ‘Family Forward’ with ‘Usual Care’ social work practice in optimising family appraisal of a child’s acquired brain injury to ensure better adaptation during the inpatient rehabilitation phase of care and early transition home. Research Design: Single site, prospective, sequential comparison group design. Methods and Procedures: Families were recruited on admission to an inpatient rehabilitation service based at a tertiary paediatric hospital. The ‘Usual Care’ group (n = 22; 29 parents) recruitment, intervention and data collection were completed first (Phase 1), followed by the ‘Family Forward’ group (n = 25; 43 parents) (Phase 2). Parents/caregivers completed measures: (Impact of Event Scale- Revised: IES-R; Parents Experience of Childhood Illness and Brief Illness Perception Questionnaire: Brief IPQ) at the time of their child’s inpatient rehabilitation admission, inpatient rehabilitation discharge, and 6 weeks post-discharge. Main Outcomes and Results: There were more children with traumatic brain injuries in the Family Forward group (n = 13) than Usual Care (n = 6) and the Family Forward group had a longer hospital admission (days, M = 56.4, SD = 46.1 vs. M = 37.5, SD = 16.4, p = 0.019). No significant group differences were found for family appraisal outcomes at any of the three time-points. Both groups reported reductions in trauma and grief responses, emotional experiences and perceptions of their child’s injury at post-intervention and follow-up. Both groups continued to have depleted emotional resources (PECI scale) at 6 weeks post-discharge. Conclusions: The study contributes important insights into family appraisal experience in the early stages following paediatric acquired brain injury. In this context, ‘Family Forward’ needs to incorporate interventions that support and promote ongoing family appraisal as issues related to their child’s injury arise over time. Future research is needed to focus on whether the Family Forward approach does sustain family system adaptation (a key aim informing the design of the intervention) over the longer term.
Use of complex phonological patterns in speech processing: evidence from Korean

Korean has a very complex phonology, with many interacting alternations. In a coronal-/i/ sequence, depending on the type of phonological boundary present, alternations such as palatalization, nasal insertion, nasal assimilation, coda neutralization, and intervocalic voicing can apply. This paper investigates how the phonological patterns of Korean affect processing of morphemes and words. Past research on languages such as English, German, Dutch, and Finnish has shown that listeners exploit syllable structure constraints in processing speech and segmenting it into words. The current study shows that in parsing speech, listeners also use much more complex patterns that relate the surface phonological string to various boundaries.
Role of population genetics in guiding ecological responses to climate

Population responses to climate were assessed using 3–7 years height growth data gathered for 266 populations growing in 12 common gardens established in the 1980s as part of five disparate studies of Pinus contorta var. latifolia. Responses are interpreted according to three concepts: the ecological optimum, the climate where a population is competitively exclusive and in which, therefore, it occurs naturally; the physiological optimum, the climate where a population grows best but is most often competitively excluded; and growth potential, the innate capacity for growth at the physiological optimum. Statistical analyses identified winter cold, measured by the square root of negative degree‐days calculated from the daily minimum temperature (MINDD01/2), as the climatic effect most closely related to population growth potential; the colder the winter inhabited by a population, the lower its growth potential, a relationship presumably molded by natural selection. By splitting the data into groups based on population MINDD01/2 and using a function suited to skewed normal distributions, regressions were developed for predicting growth from the distance in climate space (MINDD01/2) populations had been transferred from their native location to a planting site. The regressions were skewed, showing that the ecological optimum of most populations is colder than the physiological optimum and that the discrepancy between the two increases as the ecological optimum becomes colder. Response to climate change is dependent on innate growth potential and the discrepancy between the two optima and, therefore, is population‐specific, developing out of genotype‐environment interactions. Response to warming in the short‐term can be either positive or negative, but long term responses will be negative for all populations, with the timing of the demise dependent on the amount of skew. The results pertain to physiological modeling, species distribution models, and climate‐change adaptation strategies.
Experimental spinal cord trauma: a review of mechanically induced spinal cord injury in rat models

Abstract It has been shown that animal spinal cord compression (using methods such as clips, balloons, spinal cord strapping, or calibrated forceps) mimics the persistent spinal canal occlusion that is common in human spinal cord injury (SCI). These methods can be used to investigate the effects of compression or to know the optimal timing of decompression (as duration of compression can affect the outcome of pathology) in acute SCI. Compression models involve prolonged cord compression and are distinct from contusion models, which apply only transient force to inflict an acute injury to the spinal cord. While the use of forceps to compress the spinal cord is a common choice due to it being inexpensive, it has not been critically assessed against the other methods to determine whether it is the best method to use. To date, there is no available review specifically focused on the current compression methods of inducing SCI in rats; thus, we performed a systematic and comprehensive publication search to identify studies on experimental spinalization in rat models, and this review discusses the advantages and limitations of each method.
Roux-en-Y Gastric Bypass

What is Metabolic Surgery? Metabolic (bariatric) surgery refers to a group of procedures where changes are made to either the stomach, the small intestine, or both, resulting in better diabetes control and durable weight loss. Of key importance is the effect on hormones that regulate appetite and satiety, such as ghrelin and GLP-1, which helps provide a feeling of fullness from smaller amounts of food while also controlling hunger cues. Overall, health is improved.