bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Qualitative Study of Perceptions and Preferences Regarding Social and Behavioral Risk Screening Among Primary Care Patients
Authors: Takada Sae , Shen Zewei , Bourgois Philippe , Duru O. Kenrik , Gelberg Lillian , Han Maria , Javanbakht Marjan , Shoptaw Steve , Wells Kenneth , Ryan Gery 
Published: August 2023

Abstract
Background
Despite its relevance for healthcare settings, social and behavioral risk screening is not systematically performed by clinicians or healthcare systems.

Objective
To address clinician concerns, such as social and behavioral risk screening disrupting the clinician-patient relationship and lack of resources to respond, we interviewed primary care patients at an academic medical center regarding their perceptions and preferences on social and behavioral risk screening.

Participants
Between September and December 2020, we recruited a convenience sample of 14 English-speaking primary care patients 18 years + from three clinics affiliated with an academic medical center.

Approach
Using a semi-structured interview guide, we asked about the importance of social and behavioral risk screening, whether or not and how to share social and behavioral risk factors, and how social and behavioral risk factors are addressed. We used a multi-step analytic process to identify the range and commonality of participants’ responses thematically.

Key Results
Participants recognized that social and behavioral risk factor domains were relevant to primary care and important for treating the patient as a whole person. Participants preferred a conversation regarding social and behavioral risk factor with their primary care providers (PCPs), and suggested that, if surveys are used, they be followed with an open-ended, in-person discussion. Participants also suggested framing the discussion as something that is done routinely with all patients so that patients do not feel judged. Participants felt comfortable sharing social and behavioral risk factors when they trusted their PCPs, and felt that discussing social and behavioral risk factors with their PCPs built trust. Participants recognized that resources exist outside of the clinic, and suggested that PCPs distribute lists of relevant community resources to patients.

Conclusion
In our study of primary care patients on perceptions and preferences about screening and addressing social and behavioral risk factors, we found that patients were willing to share social and behavioral risk factors with their PCP, preferred an in-person discussions with or without a survey, and wanted a list of community resources to address their needs.
Decoding the Late Pleistocene-Holocene Terrace Evolution along the Main Frontal Thrust Zone, Northeastern Himalayas, India: Insights from Tectonic Geomorphology, Sedimentology, and Optical Dating
Authors: Tandon Aashna , Prizomwala S. P. 
Published: August 2023

Abstract
Fluvial archives are the best preserved and provide valuable means of obtaining information pertaining to climate and tectonic deformation of an area. The present study is an attempt to reconstruct the landform evolution history in the northeastern Himalayan region of India. Based on field investigation, tectonogeomorphic mapping, and OSL dating, strath and various levels of cut-and-fill terraces were investigated along the mountain front. Optically stimulated luminescence ages of the terrace sequences suggest that the valley incision occurred in three phases, at ~23 ka, ~14 ka and ~9 – 3 ka and one phase of aggradation was also identified at ~ 7 ka. The strath terraces suggest two major episodes of tectonic uplift in the region around ~ 8 ka and ~ 6 ka. This yields an uplift rate of 0.4 and 0.9 mm/yr. The result from the study suggested that the rapid rejuvenation along the mountain front led to the formation of the strath terraces with enhanced incision of the fluvial terrace and influenced the sedimentary architecture of valley fill sequences.
A Review on CO2 Sequestration: The Indian Scenario
Authors: Pattanaik Suchismita , Nayak Bibhuranjan 
Published: August 2023

Abstract
To address the carbon dioxide (CO2) and other green-house gas (GHG) emission issues and combat climate change, various world summits have taken place starting with the United Nations Framework Convention on Climate Change (UNFCCC) at Rio in 1992 to the COP26 at Glasgow in 2021. Although the Paris Agreement of 2015, a legally binding international treaty intended to keep global average temperature rise below 2°C (preferably 1.5°C), it appears too tough a target considering the present day scenarios of insincerity by the advanced and rich nations. On the other hand, adaptation of CCS (carbon capture and storage) technologies in industrial scale have not yet been possible because of economic unviability. Although the western countries such as the USA and the EU have invested considerable amount of funds for R&D to make the CCS technologies successful, the developed technologies are only up to the pilot scale. More funding and focused R&D are needed to make the proven CCS technologies economic in industrial scales. The R&D efforts by other countries are still insignificant. India being the fourth largest emitter of GHGs in the world, is a signatory to most of the global treaties and is trying to adopt various CCS technologies. However, no significant progress has been made so far although some initiations have been observed after the recent pledge made by the Hon. Prime Minister of India in COP26 at Glasgow for a ‘net zero’ carbon by 2070. Industrial utilization of CO2 is negligible in the country except that Tata Steel Ltd. recently installed a demonstration carbon capture plant (5 TPD CO2) at its Jamshedpur works. There are no visible efforts from the power sectors who are one of the major contributors of CO2. Future availability of CCS technologies to Indian industries shall primarily be determined by the investments they make in R&D to develop the technologies on their own or in collaboration with research laboratories. Substituting carbon with green hydrogen and using renewable energy to run the steel plants would be desirable. Implementation of costly CCS technologies in India would need incentives from government as well as involvement and financial commitment from private industries which has been very low over the years. In this article we have taken a fresh stock of the situation with respect to the global targets set, efforts being made, technological interventions and their adaptability, R&D efforts required, funding opportunities, promises made, the gaps in available technologies, and target accomplishments. Indian status has been reviewed with respect to CCS: where does it stand, what are the challenges and what is the way forward for this fast-growing developing country to address the climate change keeping a balance with its fast growth rate.
An Assessment of the Environmental Impact of Coal Mining through Acid Mine Drainage and Soil Degradation from Makum Coalfields, Upper Assam, India: A Case Study
Authors: Kumar Manish , Srivastava Manish Kumar , Kishor Kaushal , Singh Alok K. 
Published: August 2023

Abstract
Acid mine drainage and soil erosion are significant problems in the coal mining area. It affects the water quality and soil quality, henceforth affecting plant growth and most aquatic life. During the last two decades, coal mining areas were increased by 194 hectares in Makum coalfield (Assam), which led to an increase in acid mine drainage and soil loss. In this paper, the water chemistry of water samples was analyzed, and annual soil loss near the area of Makum coalfield was calculated to investigate the most affected region by Acid Mine Drainage (AMD) and soil erosion. The Watershed delineation, slope angle, elevation contour map, and drainage system of 57 km2 of the study area were developed by ArcGIS Pro. The Universal Soil Loss Equation was used to estimate the amount of annual soil loss. The USLE parameter was assessed using a Digital Elevation Model with a 30-meter X 30-meter resolution. The result indicates that the quality of drainage near the mines was highly acidic. Also, compared to the area near the riverside, the proximity of mines is more affected by soil erosion and needs improvement.
Geochemical Characteristics of the Bottom and Pond Fly ash, Neyveli, Cuddalore District, Tamil Nadu, India
Authors: G. Sathiyamoorthy , S. Vasudevan , P. Balamurugan , R. Selvaganapathi 
Published: August 2023

Abstract
Research on finding the trace element in the fly ash material becomes imposing due to environmental effect. Coal fly ash formed from the burning of coal by thermal power plants are huge and it has been a big problem in its disposal. The main aim of this study is geochemistry of fly ash sample from Neyveli thermal power station. Mine-I has a reserve of 365 MT and covers an area of 26.69 sq. km. The tiny mine-IA, which has a reserve of 120 MT, is spread across an area of 11.6 sq. km. The Indian government has approved the expansion of the second Mine’s capacity from 4.7 MT to 10.5 MT. Despite the above listed numerous studies, the behavior of trace elements are still incompletely understood and additional investigations are required. The current study is a thorough examination of trace elements in Neyveli lignite combustion bottom ash and pond ash. In the bottom ash and pond ash, the concentrations of 21 elements (As, Ba, Cr, Ag, Cd, Co, Cu, Fe, Hg, Mn, Mo, Ni, Pb, Rb, Sr, Se, Ti, Zn, Zr, Sb, and Sn) were determined.
Multi-collinearity Based Parameter Optimization and Comparison among Multi-criteria Decision Analysis to Map Groundwater Potential Zones
Authors: Venkatesh S. , Parimalarenganayaki S. 
Published: August 2023

Abstract
Zonation of groundwater potential is a vital technique for long-term water governance and urban planning, particularly in agrarian countries such as India. As a result, the present groundwater potential mapping study was carried out in Tiruvannamalai district, Tamil Nadu, India to assess the capability of the aquifer using 21 groundwater conditioning parameters. An overlay analysis was performed to create a database for multicollinearity analysis to optimize the parameters. Normalization, weight allocation, and ranking of locations based on the assessment value were performed using Multi Criteria Decision Analysis (MCDA) techniques such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Objective Optimization based on Ratio Analysis (MOORA). The results of MCDA techniques were integrated with Remote Sensing (RS) and Geographical Information System (GIS) for the identification of groundwater potential zones. Based on the TOPSIS, 5.17 % of the area was classified as very high potential and 9.38 % of the area was classified as a very low potential zones. Similarly, the MOORA technique classified 5.54% of zones as very high and 13.55% as very low potential. Validation of results were done using groundwater level and groundwater draft data and prediction accuracy of MOORA and TOPSIS was found to be more than 80%.
Ascertaining Potential Causes of Hillslope Failure Associated to Human Settlement: A Case Study from Alaknanda Valley, Uttarakhand, NW Himalaya, India
Authors: Kumar Vipin , Sundriyal Yaspal , Chauhan Neha , Puniya Mohit Kumar , Kaushik Sameeksha , Kumar Sanjeev , Bagri Dhirendra Singh , Rana Naresh 
Published: August 2023

Abstract
Growing human population along the river valleys in hilly terrain particularly on the fluvial sediments poses increasing risk of terrace instability and subsequent failure. Such instability and failure result in frequent loss of settlement, agricultural lands, and often lives. Alaknanda River valley in Uttarakhand comprises many fluvial terrace slopes that accommodate human settlement and hence one such fluvial terrace slope was taken as a case study area. On Feb. 28, 2022, Saari (or Sari) village, situated on the fluvial sequence, witnessed a slope failure collapsing 3 houses but no casualties. The hillslope with a total disturbed area of ~3889±5.0 m2 and failed material volume of ~16858±4.3 m3 partially dammed a tributary of Alaknanda River, which passes through the toe of the failed slope. The present study is an attempt to understand the instability that led to such failure because there was no extreme rainfall or earthquake prior to this failure. Preand post-failure topography of slope was used to demarcate the detachment and deposition zones. Pre-failure topography was used to perform the Finite Element Method (FEM) based slope stability simulation. In order to evaluate the possible contribution of exposed rockmass in failure, kinematic analysis was also performed. Results revealed the development of displacement pattern, particularly due to anthropogenic loads that must have initiated this failure. Such studies are primary requisites for an effective disaster mitigation in the NW Himalaya where growing human population on fragile hillslopes are at risk.
Compact formula for skew-symmetric system of matrix equations
Authors: Rehman Abdur , Kyrchei Ivan I. 
Published: August 2023

AbstractIn this paper, we consider skew-Hermitian solution of coupled generalized Sylvester matrix equations encompassing $$*$$

∗

-hermicity over complex field. The compact formula of the general solution of this system is presented in terms of generalized inverses when some necessary and sufficient conditions are fulfilled. An algorithm and a numerical example are provided to validate our findings. A numerical example is carried out using determinantal representations of the Moore–Penrose inverse.
GIST: distributed training for large-scale graph convolutional networks
Authors: Wolfe Cameron R. , Yang Jingkang , Liao Fangshuo , Chowdhury Arindam , Dun Chen , Bayer Artun , Segarra Santiago , Kyrillidis Anastasios 
Published: August 2023

AbstractThe graph convolutional network (GCN) is a go-to solution for machine learning on graphs, but its training is notoriously difficult to scale both in terms of graph size and the number of model parameters. Although some work has explored training on large-scale graphs, we pioneer efficient training of large-scale GCN models with the proposal of a novel, distributed training framework, called . disjointly partitions the parameters of a GCN model into several, smaller sub-GCNs that are trained independently and in parallel. Compatible with all GCN architectures and existing sampling techniques, (i) improves model performance, (ii) scales to training on arbitrarily large graphs, (iii) decreases wall-clock training time, and (iv) enables the training of markedly overparameterized GCN models. Remarkably, with , we train an astonishgly-wide 32–768-dimensional GraphSAGE model, which exceeds the capacity of a single GPU by a factor of $$8\times $$

8
×

, to SOTA performance on the Amazon2M dataset.
Seismic control of T-shape in plan steel high-rise buildings with SSI effect using tuned mass dampers
Authors: Kontoni Denise-Penelope N. , Farghaly Ahmed Abdelraheem 
Published: August 2023

AbstractA steel high-rise building (HRB) with plan irregularity is a major challenge in engineering design, especially under seismic loads. Soil–structure interaction (SSI) is one of the most important factors in designing steel high-rise structures. Herein, a T-shape in plan steel HRB subjected to four different earthquakes will mitigate the vibration and control the displacements and base straining actions resulting from earthquakes by using tuned mass dampers (TMDs) systems, and the most controlling arrangement of TMDs, in the fixed base HRB model and in the SSI HRB model, will be examined. Three-dimensional models of the steel high-rise building (HRB) with a T-shape in the plan subjected to four different earthquakes fixed or with the SSI effect were analyzed to investigate the seismic mitigation effect of six different plan arrangements of TMDs applied on the top plan of the fixed HRB model, while for the SSI HRB model, these TMDs distributions were applied on the top plan and additionally on two intermediate plans along the HRB height. The TMDs for the T-shape in plan steel HRB are more effective in the SSI model than in the fixed base model. In the SSI effect model, the distributions of the TMDs not only on the top plan of the model but also through the model (on two additional plan levels along the height) further reduced the HRB seismic response and this three-level TMDs distribution was required for the plan arrangement of 2 or 4 TMDs.
Potential suppression of broad-spectrum virulence of Blumeria graminis f. sp. tritici population to race-specific resistance genes in hexaploid wheat
Authors: Draz Ibrahim S. , Abdelrhim Abdelrazek S. , Mabrouk Ola I. , Esmail Samar M. 
Published: August 2023

AbstractPowdery mildew caused by Blumeria graminis f. sp. tritici (Bgt), is one of the serious diseases that attack wheat plants during the growing season. The Bgt virulence was screened against 16 Egyptian wheat cultivars and 21 powdery mildew differential lines carrying different (Pm) resistance genes in two regions (Kafr-Elsheikh and El-Minya) in Egypt 2021–2022. Broad-spectrum virulence and high diversity were observed at both regions. Regional populations of Bgt in Egypt are independent of each other. Genes, Pm2a, Pm3a, Pm1b, Pm3b, Pm21, Pm34, Pm36, Pm37, Pm53, PmNCA6, PmMIAG12, and PmNCAG13 were nationally effective, while Pm4a, Pm4b, Pm6, and Pm8 appeared to be defeated throughout the country affected by broad-spectrum virulence. Field responses showed that only four cultivars, Misr-1, Misr-2, Sakha-95 and Shandweel-1 were resistant in both regions. A strong correlation was recorded between FDS and AUDPC which implies that wheat pathologists and breeders may be able to assess their lines by a single scoring at an appropriate time. Phenotypic and genotypic data proved that ineffective Pm8 was present in four susceptible cultivars, Sakha-93, Sakha-94, Gemmeiza-10, and Gemmeiza-11, while it was present in combination with effective Pm3a in two resistant cultivars, Sakha-95 and Shandweel-1. This suggests that cultivar susceptibility may be attributed to the existence of ineffective gene Pm8 potentially suppressed by effective Pm3a in hexaploid-resistant wheat. Pyramiding effective resistance genes particularly those that have a suppression effect like Pm3a may be a viable option to avoid the risk of broad-spectrum Bgt virulence at a regional scale.
The interplay between leaf-cutter ants behaviour and social organization
Authors: Khayat Rana O. 
Published: August 2023

AbstractLeaf-cutter ants (Atta and Acromyrmex species) exhibit complex social organizations that have fascinated scientists for decades. The leaf-cutter ants belong to a subgroup of fungus-growing ants, which live with fungus inside their nests. The behaviours exhibited by these ants are closely linked to their social organization, which involves intricate division of labour, caste systems, and cooperative tasks. This review article provides an overview of the behaviors associated with the social organization of leaf-cutter ants. It explores various aspects of their social organization, including foraging behavior, hitchhiking behaviour, hygienic behaviour, social organization and environmental influences. The leaf cutter ants have the instinct to forage, as they walk around the nest to cut leaf fragments from plants, then transport those fragments with their jaws and go back to the nest to cultivate a special fungus garden within the colony. By synthesizing existing knowledge, this review highlights the intricate relationships between behaviors and the social structure of leaf-cutter ants, shedding light on the underlying mechanisms and evolutionary implications. Furthermore, it identifies research gaps and proposes future directions for studying leaf-cutter ant behaviors, including emerging techniques and interdisciplinary approaches. The behaviors correlating with the social organization of leaf-cutter ants showcase the intricate mechanisms underlying their highly organized societies. In conclusion, this review contributes to our understanding of the fascinating behaviors exhibited by leaf-cutter ants and their implications in the broader context of social insect societies.
Multilingual representation matters: an in-depth analysis of translanguaging in “Dear Primo: A Letter to my Cousin”
Authors: Moses Lindsey 
Published: August 2023

AbstractLanguage and literacy are inextricably linked with identity, yet most children experience children’s literature in schooling contexts in only one language. For many students, this language is not their home or preferred language, so they rarely, if ever, see their home language represented in school and children’s literature. While the number of bilingual children’s texts is increasing, the majority of these texts continue to privilege English and present a distinct separation of languages that is not representative of multilingual communicative practices. People who are multilingual engage in translanguaging, a dynamic and flexible process using all their linguistic resources that results in new and sophisticated communicative practices. This paper draws upon translanguaging theories (García The Reading Teacher, 73(5), 557–562, 2020; Wei Applied Linguistics, 39(1), 9–30, 2018) and multimodal perspectives (Serafini, 2022) to investigate the linguistic representations and ways languages are privileged in Dear Primo: A Letter to My Cousin (Tonatiuh, 2010). Instances of translanguaging throughout the text are identified and analyzed for the ways the author/illustrator uses these instances to engage within a variety of purposes, systems, and structures (Wei Journal of Pragmatics, 43(5), 1222-1235, 2011). Building on the translanguaging analysis, a multimodal analysis is utilized to examine the use of semiotic resources in the representation of language, translanguaging, and multilingualism within the modes of written language and illustration.
Change of Seasons: Boston Marathon Wet Bulb Globe Temperature Index in October
Authors: Cheuvront Samuel N. , Kenefick Robert W. , Blazy Phil T. , Troyanos Chris 
Published: August 2023

Introduction The importance of providing wet bulb globe temperature (WBGT) heat stress flag category measurements in real time is well recognized by road race directors, and it is bound to become even more important with the rise of extreme weather and pandemic outbreaks. The purpose of this paper is to describe the WBGT index and its components measured during the 125th running of the Boston Marathon on October 11, 2021, for qualitative comparison to measurements made similarly on its traditional April date, 2014 to 2019. Methods Monitoring occurred at the 7 km, 18 km, and 32 km marks of the race in the towns of Ashland, Natick-Wellesley, and Newton. The outdoor WBGT index was calculated from direct hourly measurements of the dry bulb, black globe, and natural wet bulb temperatures from 0900 to 1500 h. Results The WBGT index was not different among towns; thus, the average hourly values for the 3 towns were compared to historical data averaged identically. Although the black globe temperature fluctuated considerably in response to changing cloud cover, on average, partly cloudy skies kept the solar load comparable to what has been observed in April. Dry bulb and wet bulb temperatures were higher than those on most April dates shown, which resulted in a yellow (or amber) flag day for most of the race. Conclusions The historic October Boston Marathon was among the warmest in recent history. Like the impact of COVID-19 on the 2021 Boston Marathon, future climate challenges around outdoor activities could necessitate rescheduling; they underscore the importance of real-time WBGT index measures.