Miracle-dz/UniFAR-FTUs huggingface dataset:
Social work and social inclusion in sports-based programs: A qualitative study

Summary Although the literature is rich in contributions analyzing the role of social workers in sports, there remains a lack of empirical research with respect to how these workers can be determinant in the development of inclusion outcomes in sports-driven interventions targeting socially vulnerable youth. The investigation analyzes the case of a sports-based program run by an Italian non-profit organization (NGO) from an ecological system perspective. Data from interviews and focus groups with youth involved in the program (21), parents (15), sport coaches (9), and the social workers of the NGO (15) were triangulated with the aim of exploring how social workers promoted inclusion through sport. Data were analyzed in a top–down thematic analysis. Findings Social workers promoted many social inclusion outcomes: (1) they linked sport clubs with the youth excluded from the sport system, thus sustaining access to sport; (2) they emotionally supported youth and their families in the program, fostering the relational dimension of social inclusion; (3) they formed alliances between the diverse systems of youth life, enhancing youth capacity to overcome their personal challenges in sports; and (4) they encouraged the integration of people coming from different socio-economic backgrounds within the sport context. Applications The case informs the practice of social workers in sport-driven interventions providing insights around the tasks they should achieve to promote social inclusion, including (1) recruitment of youth excluded from the sport system and linkage with sport clubs, (2) sport bureaucracy support, and (3) dialogue with diverse youth life systems.
Exact Analysis of Unsteady Solute Dispersion in Blood Flow: A Theoretical
Study

The diameter of an artery can narrow due to atherosclerosis or stenosis, making it challenging to resolve solute dispersion issues as blood flows via a stenosed artery. The stenosis occurrence restricted drug dispersion and blood flow. This research introduces the establishment of a mathematical model in examining the unsteady dispersion with respect to the solute in overlapping stenosis arteries depicting blood as a Herschel-Bulkley (H-B) fluid model. Note that fluid velocity was obtained by analytically solving the governing and constitutive equations. The transport equation has been solved by employing a generalised dispersion model (GDM), in which the dispersion process is described. Accordingly, yield stress, stenosis height, slug input of solute length, as well as a rise in the power-law index have improved the peak with regard to the mean concentration and solute concentration. The maximum mean concentration yielded the effective dose for therapeutic concentration. In conclusion, this study is relevant to disease arteries, coagulating hemodynamics and may help physiologists in furnishing a more refined understanding of diffusion processes in cardiovascular hydrodynamics. An interesting application related to the present study is the transportation of drugs in the arterial blood flow.
Nutrition and Non-Nutrition-Related Challenges Predict Time to Death in Long-Term Care Residents: A Retrospective Chart Review

Purpose Signals of end-of-life decline observed in daily habits, such as mealtime participation, are important for moving towards comfort-focused goals of care in the final months of life of long-term care (LTC) residents. It is unclear how eating issues observed in real-time in LTC homes are used as indicators of suspected end of life. The study quantifies nutrition and key non-nutrition related signals (eg, general decline, unstable vitals) documented to describe end-of-life decline and the subsequent time to death. Patients and Methods A retrospective chart review identified the first documented conversation where end-of-life decline was considered by members of the care team (eg, nurses, physicians, dietitian, family member) for 76 randomly selected decedents from 9 LTC homes in southwestern Ontario, Canada. Time (days) to death was calculated. A directed content analysis of the free-text description of the suspected end-of-life decline was used to categorize signals. Cox proportional hazards regression analysis tested the risk of mortality associated with each categorized signal. Results Time to death of residents (mean age = 88 ± 7 years; 60% female) from the first documentation of potential end-of-life decline ranged from 0 days to over 2 years prior to death (median = 27.5 days). Seven nutrition-related and 18 non-nutrition related signals were identified. Swallowing difficulty (HR = 2.99; 95% CI = 1.41, 6.33), cognitive decline (HR = 0.40; 95% CI = 0.20, 0.77), delirium (HR = 13.23; 95% CI = 1.57, 111.69), and cancer (HR = 0.18; 95% CI = 0.07, 0.48) were associated with time to death. Conclusion This study provides insight into the signals used by care providers in LTC to suspect that residents are declining towards the end of life and identifies four signals that were associated with time to death. When identified by care providers as indicators of end-of-life decline, swallowing difficulty and delirium predicted a shorter time to death, while cancer and cognitive decline predicted a longer time to death. Recognition of nutrition and non-nutrition related signals may be leveraged to systematically introduce timely comfort care conversations.
Fatty acid profile, omegas and lipid quality in commercial cuts of pirarucu (Arapaima gigas Schinz, 1822) cultivated in excavated tanks

The study aimed to determine the fatty acid profile, omegas and lipid quality indeces in commercial cuts of pirarucu (Arapaima gigas) of the slaughter class 11.1 to 14.0 kg. Sample collections were carried out in two fish processing industries located in Rondônia state, Brazil. The experimental design was completely randomized, with processing performed in triplicate. Data were submitted to ANOVA to assess differences between commercial cuts in chemical compositions. If ANOVA appeared statistically significant (α=0.05), the averages were compared by Tukey's test. In the composition of fatty acids, there was a difference (p <0.05) between cuts. Commercial cuts that expressed the highest percentages of SFAs tail fillet 51.2%, of MUFAs fillet mignon 39.8% and of PUFAs deboned cut 20.7%. The indeces prescribed for lipid quality, ∑PUFAs/∑SFAs, ∑PUFAs (n-6/∑n-3), AI, TI and HH, indicate that commercial cuts have lipid quality. Deboned is the cut with the highest PUFA fatty acid content, with the highest values of Omega 3, 6, 7 and n-9 being also expressed. Nutritional information is important for the processes of conservation and processing, development of new products on the market, as well as guiding the form of preparation, thus providing commercial security for different market niches.
Charge–discharge properties of LiMn2O4-group positive electrode active materials for lithium-ion batteries using high-throughput experimental screening and machine learning models

ABSTRACT To improve the charge – discharge properties of an LiMn2O4 positive electrode active material for a lithium-ion battery, the effect of additive elements was investigated using high-throughput experiments and materials informatics techniques. First, the material libraries of LiMn1.4NixAyBzO4±δ (A, B = Mo, Ir, Bi, Eu, Zn, Y, Ce, and Ru, x + y + z = 0.6, x, y, z = 0, 0.2, 0.4, 0.6) were synthesized by the ink-jet technique, and the properties were estimated using X-ray diffraction and X-ray absorption near-edge structure (XANES) spectroscopy at SPring-8. Appropriate additives were searched for by machine learning models using composition-based explanatory and experimentally obtained objective variables without completing the lithium-ion battery cell. Next, LiMn2O4 specimens containing the additives were synthesized by the solid-state reaction method, and then the charge – discharge properties were verified using the sandwich-type electrochemical cell. Based on the results, LiMn1.6Ni0.2Ir0.1Mo0.1O4±δ, LiMn1.6Ni0.2Pd0.1W0.1O4±δ, LiMn1.6Ni0.2Ir0.1W0.1O4±δ, LiMn1.6Ni0. 3W0.1O4±δ, and LiMn1.6Ni0.2Ru0.1W0.1O4±δ had approximately 10% larger current capacity and approximately 0.1 V higher average charge – discharge potential than LiMn2O4 without additives. The charge compensation of lithiation and delithiation could be caused by the valence change of Mn (Mn4+ ⇌ Mn3+) and Ni ions (Ni3+ ⇌ Ni2+), which was estimated by XANES spectroscopy. GRAPHICAL ABSTRACT IMPACT STATEMENT The appropriate additives for LiMn2O4-based materials (cathode material for LIBs) were searched for using high-throughput experiments and machine learning without fabricating electrochemical cells, which were laborious experiments.
Persisting partition : gender, memory and trauma in women's narratives of Pakistan

This project centres on the continuing relevance of the 1947 Partition of India in texts that engage with the national landscape of Pakistan. This approach proposes that Partition cannot be understood outside of a discussion of Pakistan, as Partition emerged through demands for liberty and enfranchisement for India? s Muslims that became articulated through the discourse of the nation-state; my analysis of cultural texts asks what the implications are of this proposal. This study moves beyond looking at Partition as an isolated series of events in 1947 and contextualises its processes, interrogating why Partition and Pakistan became such a persuasive demand, and what the ongoing ramifications are of its happening. This thesis also considers what the 1971 secession of Bangladesh suggests regarding the attempts of the original cartographic articulation of Pakistan to maintain a unified nation. This project seeks to understand Partition in new ways by utilising a framework that takes into account the broader context of Partition both temporally and spatially. It moves beyond work that solely focusses on texts that discuss the moment of Partition directly, by examining texts that approach the time that preceded Partition, and that which succeeded it. In so doing this thesis charts how texts articulate the arguments for Pakistan? s creation against the events and commemoration of its becoming. I aim to be broad temporally, geographically, and in how I engage with the notion of violence, extending this to include the bureaucratic violence of drawing borders and colonial withdrawal. This study maintains a focus on women? s narratives, arguing that due to the gendered experience of violence at the time of Partition, such as rape, abduction, and honour killing, women? s stories have a particular intervention to make. As such this thesis proposes that there is a pattern of specifically gendered trauma that emerges which disrupts dominant nationalist remembering of Partition. This work takes an interdisciplinary focus by analysing fiction, feature film and documentary. Central to the study is the deployment of a number of theoretical methodologies, such as affect, cultural memory and trauma. Engagement with this critical material enables a discussion of the cultural texts that considers the role of affects in generating and maintaining national belonging, the impact of trauma on individuals who lived through Partition and on the nation writ large, and the implications of how trauma and affect are negotiated when texts imagine reparative futures.
Prevalence of maternal health problems and adverse birth outcome in Jeddah, Saudi Arabia

The aim of this study was to assess the prevalence of pregnancy related maternal complications and birth outcome among women in Jeddah city Saudi Arabia. This was a cross section study where convenient samples of females were approached via online electronic platform using a questionnaire. The questionnaire assessed data regarding the participants’ socio-demographic and personal characteristics, reported maternal complications and adverse birth outcomes during pregnancy. The chi square test of significance and principal component factor analysis were used. Level of significance was 0.05. This study comprised 301 women with mean age of 32.71 years (SD: 10.285). The self-reported maternal health problems according to order of frequency were miscarriage (46.2%); caesarian section (30.6%); still birth 27.9%; Hypertension (25.1%); Gestational diabetes (18.3%); vaginal bleeding (13.3%); puerperal sepsis (10.3%); premature labor (9.3%); polyhydramnios (9%); and pre-eclampsia (3.3%). Adverse birth outcome was LBW (12.6%), and macrosomia (9.6%). Older age, smoking, and obesity of the pregnant mother, and family history of diabetes mellitus (DM) and gestational DM (GDM) were significantly associated with adverse pregnancy outcome. Further investigations are needed to assess factors associated with these high frequency levels of maternal health complications. Furthermore, these findings have preventive and clinical implications concerning pregnant women with a history of smoking habit and hypertension.
Degradation-Sensitive Health Indicator Construction for Precise Insulation Degradation Monitoring of Electromagnetic Coils

Electromagnetic coils are indispensable components for energy conversion and transformation in various systems across industries. However, electromagnetic coil insulation failure occurs frequently, which can lead to serious consequences. To facilitate predictive maintenance for industrial systems, it is essential to monitor insulation degradation prior to the formation of turn-to-turn shorts. This paper experimentally investigates coil insulation degradation from both macro and micro perspectives. At the macro level, an evaluation index based on a weighted linear combination of trend, monotonicity and robustness is proposed to construct a degradation-sensitive health indicator (DSHI) based on high-frequency electrical response parameters for precise insulation degradation monitoring. While at the micro level, a coil finite element analysis and twisted pair accelerated degradation test are conducted to obtain the actual turn-to-turn insulation status. The correlation analysis between macroscopic and microscopic effects of insulation degradation is used to verify the proposed DSHI-based method. Further, it helps to determine the threshold of DSHI. This breakthrough opens new possibilities for predictive maintenance for industrial equipment that incorporates coils.
Conceptualizing Play based Learning Method for Students with Special Learning Needs

Effectiveness of teaching and learning depends on selection of the methods, strategies and activities carried out by teachers with students. Teaching and learning methods that can attract students will have a positive impact on students’ achievement, especially students with special learning needs. This concept paper focuses on the context of the play-based learning method by discussing the definition and theory of this method for students with special learning needs. Through this discussion, it will provide an overview of the importance of using this method for students with special learning needs. The discussion on the importance of this method can be seen from the aspects of cognitive, language and communication proficiency as well as social skills of students with special learning needs. This concept paper can provide educators with the strategies used in play-based learning method for students with special learning needs. Indirectly, it also helps educators in diversifying teaching and learning methods in the classroom according to the suitability and level of their students.
Molecular characterization of Tapah fish (Wallago leerii, Bleeker 1851) from Riau Province based on Cytochrome b gen

Tapah fish (Wallago leerii) is a fish with high economic value in Riau Province. Molecular research on W. leerii is very important to do. This study aims to determine the molecular characteristics of W. leerii from Riau Province based on the Cytochrome b gene. The universal primer Cytochrome b is used for the Polymerase Chain Reaction (PCR) process. The PCR result is a partial Cytochrome b gene with a length of 373 bp. Multiple alignments were performed on nucleotide sequences of the Cytochrome b gene of W. leerii from river of Tapung and Indragiri Riau with the cytochrome b gene of other fish from Genbank and analyzed using the MEGA program version 6.0. Phylogenetic construction using the Cytochrome b gene can distinguish W. leerii from river of Tapung and Indragiri Riau, with other species.Keywords:AlignmentsMolecularGenBank
Estimation of Biomass Fire Temperature and Areal Extent from Calibrated AVIRIS Spectra

Biomass burning is an important process on the Earth at the local, regional and global scales. To investigate issues related to biomass burning, a range of remotely acquired data were measured as part of the NASA Smoke Cloud Aerosol and Radiation experiment in Brazil, 1995. As part of this experiment, images of calibrated spectral radiance from 400 to 2500 nm at 10 nm intervals were acquired by AVIRIS. To investigate the expression of biomass fires in AVIRIS spectra, a model of the upwelling radiance from a burning fire was developed. This spectral model accounts for four components in the 20 by 20 m AVIRIS spatial resolution element. These are: (1) the atmospheric path radiance, (2) the solar reflected radiance from unburnt vegetation and soil, (3) the apparent temperature and area of a primary fire, and (4) the apparent temperature and area of a secondary fire. A nonlinear least squares spectral fitting algorithm was developed to invert this model for the AVIRIS spectra. The derived biomass burning parameters from this algorithm are presented for AVIRIS spectral images acquired over Cuiaba, Brazil on 25 August 1995.
The Influence of Brittleness of Interlayers on the Failure Behavior of Bedding Rock; Experimental Test and Particle Flow Code Simulation

In the present study, the effects of angle and brittleness of interlayers on the shear failure behavior of notched bedding rock have been scrutinized using experimental shear tests and particle flow code (PFC) simulation. Notched bedding models with dimensions of 20 cm × 24 cm × 5 cm containing soft interlayer and hard interlayer were prepared. The ratio of compressive strength to tensile strength in soft gypsum and hard gypsum are 12 and 7.8, respectively. The layer angel changed from 0° to 90° with an increment of 15°. The lengths of notches in each model are similar and were equal to 20 mm, 40 mm, and 60 mm. Models were tested by Punch shear by displacement loading rates of 0.05 mm/min. Results showed that pure tensile fracture was developed from the tip of the notch, and propagated in the direction of the shear loading axis till coalescence with the model boundary. Whereas soft brittle gypsum has less deformability in comparison to hard ductile gypsum therefore the continuity of shear displacement associated with crack growth in soft interlayer was less than that in hard interlayer. Also, soft brittle gypsum has less shear strength in comparison to hard ductile gypsum therefore the shear strength of bedding rock has maximum value when hard ductile gypsum was occupied more percentage of shear surfaces. The failure mechanism was alike in both the numerical simulation and the experimental test.
Comment on “Advanced Testing of Low, Medium, and High ECS CMIP6 GCM Simulations Versus ERA5‐T2m” by N. Scafetta (2022)

Scafetta (2022, https://doi.org/10.1029/2022gl097716) purports to test Coupled Model Intercomparison Project Phase 6 (CMIP6) climate models through a comparison of temperature changes over three decades. Unfortunately, the paper contains numerous conceptual and statistical errors that undermine all of the conclusions. First, no uncertainty is given for the observational temperature difference, making it impossible to assess compatibility with any model result. Second, the CMIP6 data are the ensemble means for each model, but the metric being tested is sensitive to the internal variability and so the full ensemble for each model must be used. When this is corrected, the conclusion that “all models with ECS > 3.0°C overestimate the observed global surface warming” is not sustained. Third, the statistical test in Section 2 would reject all models even in a perfect model setup given sufficient ensemble members, thus the second conclusion “that spatial t‐statistics rejects the data‐model agreement” is also not sustainable.
Hot spot analysis of big data visualization research in China based on co-word network

Big data visualization is a rapidly developing field, and various new technologies and methods continue to emerge, making big data visualization widely used in various fields. With the advancement of technology and the expansion of application scenarios, big data visualization will continue to play an important role in the future. This paper adopts the co-word network analysis method to conduct bibliometric analysis of the relevant research of big data visualization in China from 2012 to 2022, identifies the hot spots and connection points in the field of big data visualization in China by drawing a knowledge network map, shows the research structure of big data visualization through visual analysis, and predicts the future research development trend on this basis. The results show that seven knowledge points, such as "data analysis", " visualization analysis" and "big data technology", are the current research hotspots in the field of big data visualization, which determine the development direction of future research.
CLINICO-HEMATOLOGICAL PROFILE OF NUTRITIONAL ANEMIA IN HOSPITALISED INFANTS AT A TERTIARY CARE HOSPITAL

Objective: Anemia is a serious global public health problem that particularly affects young children. As many as 67.1% children aged 6-59 mo surveyed suffered from anemia in 2019 and 65.5% in Karnataka, according to NFHS-5. Nutritional anemia is most common but preventable cause for anemia in children in developing countries. This is due to improper feeding habits, especially during the initiation of complementary foods. Hence the present study is to know the pattern of anemia in infants of age group between 6 mo to 12 mo and to assess the nutritional and other associated risk factors contributing to Anemia. Methods: This study was carried out in 193 children aged 6 mo to 12 mo admitted in our hospital. Detailed clinical evaluation and relevant laboratory investigations were done as per proforma. Results: In our study majority were of age group 6 to 9 mo (52.8%). 40.4% of mothers of our study infants were anemic during pregnancy and 9.3% were blood transfused. Majority (53.4%) were exclusively breastfed. 45.6% were started on complementary feeding at 4 to 6 mo age.17. 6% were moderately wasted and 9.3% of infants were severely wasted. There was a significant association between severity of anemia and mother’s anemia, inclusion of cow’s milk in diet, adequacy of complementary feeding, and inclusion of formula feeds (p<0.05). Conclusion: Nutritional anemia is most common cause of anemia in childhood, especially in developing countries like India. Parents and caregiver need awareness regarding the effect, causes of anemia and how to prevent it.