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Article ; Online: Rice yield and quality in response to daytime and nighttime temperature increase - A meta-analysis perspective.

Su, Qiong / Rohila, Jai S / Ranganathan, Shyam / Karthikeyan, R

2023 Volume 898, Page(s) 165256

Abstract: Increased heat stress during cropping season poses significant challenges to rice production, yet the complex stoichiometry between rice grain yield, quality and high daytime, nighttime temperature remains with gaps in current knowledge. We conducted a ... ...

Abstract	Increased heat stress during cropping season poses significant challenges to rice production, yet the complex stoichiometry between rice grain yield, quality and high daytime, nighttime temperature remains with gaps in current knowledge. We conducted a meta-analysis using a combined dataset of 1105 experiments for daytime temperature and 841 experiments for nighttime temperature from published literature to investigate the effects of high daytime temperature (HDT) and high nighttime temperatures (HNT) on rice yield and its various components (such as panicle number, spikelet number per panicle, seed set rate, grain weight) and grain quality traits (such as milling yield, chalkiness, amylose and protein contents). We established relationships between rice yield, its components, grain quality and the HDT/HNT, and studied phenotypic plasticity of the traits in response to HDT and HNT. Results showed that HNT had a more detrimental impact on rice yield and quality when compared with the HDT. The optimum daytime and nighttime temperatures for best rice yield were approximately 28 °C and 22 °C, respectively. Grain yield showed a decline by 7% and 6% for each 1 °C increase in HNT and HDT, respectively, when exceeded the optimum temperatures. Seed set rate (i.e., percent fertility) was the most sensitive trait to HDT and HNT and accounted for most of the yield losses. Both the HDT and HNT affected grain quality by increasing chalkiness and decreasing head rice percentage, which may affect marketability of the rice produced. Additionally, HNT was found to significantly impact nutritional quality (e.g., protein content) of rice grains. Our findings fill current knowledge gaps on estimations of rice yield losses and possible economic consequences under high temperatures and suggest that impacts on rice quality should also be considered for selection and breeding of high-temperature tolerant rice varieties in response to HDT and HNT.
MeSH term(s)	Temperature ; Oryza/metabolism ; Biomass ; Plant Breeding ; Seeds/physiology ; Edible Grain
Language	English
Publishing date	2023-07-07
Publishing country	Netherlands
Document type	Meta-Analysis ; Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2023.165256
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Article ; Online: Immunohistochemical biomarkers in oral submucous fibrosis: A scoping review.

Kavitha, Loganathan / Ranganathan, Kannan / Shyam, Sivasamy / Fathima, Jaffer Hussain Shazia / Umesh, Wadgave / Warnakulasuriya, Saman

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology

2022 Volume 51, Issue 7, Page(s) 594–602

Abstract: Introduction: This scoping review was done to study the immunohistochemical biomarkers involved in the pathogenesis and malignant transformation of oral submucous fibrosis (OSF), in literature published from 2010 to 2021.: Method: The protocol was ... ...

Abstract	Introduction: This scoping review was done to study the immunohistochemical biomarkers involved in the pathogenesis and malignant transformation of oral submucous fibrosis (OSF), in literature published from 2010 to 2021. Method: The protocol was adapted from the Joanna Briggs Institute Reviewer's Manual (2017), and reported according to the PRISMA guidelines for Scoping Reviews. Results: Eighty-six studies included in this review reported 84 immunohistochemical (IHC) biomarkers in OSF: 10 epithelial markers, 28 connective tissue markers, 22 proliferative markers, and 24 other biomarkers that are transcription factors, cancer stem cell markers, cell signaling markers, proteins, and enzymes. The commonly reported IHC biomarkers were alpha-smooth muscle actin (α-SMA) and E-cadherin (seven articles each) followed by vascular endothelial growth factor (VEGF) and CD34 (six articles each), p53, p63, and Ki67 (five articles each). α-SMA, Ki67, CD105, and hTERT were significantly increased in oral squamous cell carcinoma arising in a background of OSF (OSCC-OSF) compared with OSF and normal subjects. Conclusion: The identified surrogate IHC biomarkers reported in OSF in this scoping review require validation with long-term prospective studies to facilitate early diagnosis, for use in risk assessment, and plan appropriate treatment for OSF in clinical practice. Open Science Framework ID: osf.io/epwra.
MeSH term(s)	Carcinoma, Squamous Cell/diagnosis ; Carcinoma, Squamous Cell/pathology ; Humans ; Ki-67 Antigen ; Mouth Neoplasms/diagnosis ; Mouth Neoplasms/pathology ; Oral Submucous Fibrosis/pathology ; Prospective Studies ; Vascular Endothelial Growth Factor A
Chemical Substances	Ki-67 Antigen ; Vascular Endothelial Growth Factor A
Language	English
Publishing date	2022-02-22
Publishing country	Denmark
Document type	Journal Article ; Review
ZDB-ID	1021270-x
ISSN	1600-0714 ; 0904-2512
ISSN (online)	1600-0714
ISSN	0904-2512
DOI	10.1111/jop.13280
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Article: Bayesian auxiliary variable model for birth records data with qualitative and quantitative responses.

Kang, Xiaoning / Ranganathan, Shyam / Kang, Lulu / Gohlke, Julia / Deng, Xinwei

Journal of statistical computation and simulation

2021 Volume 91, Issue 16, Page(s) 3283–3303

Abstract: Many applications involve data with qualitative and quantitative responses. When there is an association between the two responses, a joint model will produce improved results than fitting them separately. In this paper, a Bayesian method is proposed to ... ...

Abstract	Many applications involve data with qualitative and quantitative responses. When there is an association between the two responses, a joint model will produce improved results than fitting them separately. In this paper, a Bayesian method is proposed to jointly model such data. The joint model links the qualitative and quantitative responses and can assess their dependency strength via a latent variable. The posterior distributions of parameters are obtained through an efficient MCMC sampling algorithm. The simulation is conducted to show that the proposed method improves the prediction capacity for both responses. Further, the proposed joint model is applied to the birth records data acquired by the Virginia Department of Health for studying the mutual dependence between preterm birth of infants and their birth weights.
Language	English
Publishing date	2021-05-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	2004311-9
ISSN	1563-5163 ; 0094-9655
ISSN (online)	1563-5163
ISSN	0094-9655
DOI	10.1080/00949655.2021.1926459
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Article ; Online: Rice yield and quality in response to daytime and nighttime temperature increase – A meta-analysis perspective

Su, Qiong / Rohila, Jai S. / Ranganathan, Shyam / Karthikeyan, R.

Science of the Total Environment. 2023 July 07, p.165256-

2023 , Page(s) 165256–

Abstract	Increased heat stress during cropping season poses significant challenges to rice production, yet the complex stoichiometry between rice grain yield, quality and high daytime, nighttime temperature remains with gaps in current knowledge. We conducted a meta-analysis using a combined dataset of 1105experiments for daytime temperature and 841experiments for nighttime temperature from published literature to investigate the effects of high daytime temperature (HDT) and high nighttime temperatures (HNT) on rice yield and its various components (such as panicle number, spikelet number per panicle, seed set rate, grain weight) and grain quality traits (such as milling yield, chalkiness, amylose and protein contents). We established relationships between rice yield, its components, grain quality and the HDT/HNT, and studied phenotypic plasticity of the traits in response to HDT and HNT. Results suggest that HNT had a more detrimental impact on rice yield and quality when compared with the HDT. The optimum daytime and nighttime temperatures for best rice yield were approximately 28 °C and 22 °C, respectively. Grain yield showed a decline by 7 % and 6 % for each 1 °C increase in HNT and HDT, respectively, when exceeded the optimum temperatures. Seed set rate (i.e., percent fertility) was the most sensitive trait to HDT and HNT and accounted for most of the yield losses. Both, the HDT and HNT affected grain quality by increasing chalkiness and decreasing head rice percentage, which may affect marketability of the rice produced. Additionally, HNT was found to significantly impact nutritional quality (e.g., protein content) of rice grains. Our findings fill current knowledge gaps on estimations of rice yield losses and possible economic consequences under high temperatures and suggest that impacts on rice quality should also be considered for selection and breeding of high-temperature tolerant rice varieties in response to HDT and HNT.
Keywords	amylose ; data collection ; environment ; grain quality ; grain yield ; heat stress ; meta-analysis ; night temperature ; nutritive value ; panicles ; phenotypic plasticity ; protein content ; rice ; seed set ; spikelets ; stoichiometry ; Climate change ; Rice quality ; Yield loss ; Seed set rate
Language	English
Dates of publication	2023-0707
Publishing place	Elsevier B.V.
Document type	Article ; Online
Note	Pre-press version
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2023.165256
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Article ; Online: Effects of an arm-support exoskeleton on perceived work intensity and musculoskeletal discomfort: An 18-month field study in automotive assembly.

Kim, Sunwook / Nussbaum, Maury A / Smets, Marty / Ranganathan, Shyam

American journal of industrial medicine

2021 Volume 64, Issue 11, Page(s) 905–914

Abstract: Background: Exoskeleton (EXO) technologies are a promising ergonomic intervention to reduce the risk of work-related musculoskeletal disorders, with efficacy supported by laboratory- and field-based studies. However, there is a lack of field-based ... ...

Abstract	Background: Exoskeleton (EXO) technologies are a promising ergonomic intervention to reduce the risk of work-related musculoskeletal disorders, with efficacy supported by laboratory- and field-based studies. However, there is a lack of field-based evidence on long-term effects of EXO use on physical demands. Methods: A longitudinal, controlled research design was used to examine the effects of arm-support exoskeleton (ASE) use on perceived physical demands during overhead work at nine automotive manufacturing facilities. Data were collected at five milestones (baseline and at 1, 6, 12, and 18 months) using questionnaires. Linear mixed models were used to understand the effects of ASE use on perceived work intensity and musculoskeletal discomfort (MSD). Analyses were based on a total of 41 participants in the EXO group and 83 in a control group. Results: Across facilities, perceived work intensity and MSD scores did not differ significantly between the EXO and control groups. In some facilities, however, neck and shoulder MSD scores in the EXO group decreased over time. Wrist MSD scores in the EXO group in some facilities remained unchanged, while those scores increased in the control group over time. Upper arm and low back MSD scores were comparable between the experimental groups. Conclusion: Longitudinal effects of ASE use on perceived physical demands were not found, though some suggestive results were evident. This lack of consistent findings is discussed, particularly supporting the need for systematic and evidence-based ASE implementation approaches in the field that can guide the optimal selection of a job for ASE use.
MeSH term(s)	Arm ; Ergonomics ; Exoskeleton Device ; Humans ; Musculoskeletal Diseases ; Occupational Diseases
Language	English
Publishing date	2021-08-06
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	604538-8
ISSN	1097-0274 ; 0271-3586
ISSN (online)	1097-0274
ISSN	0271-3586
DOI	10.1002/ajim.23282
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Zs.A 1605: Show issues

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Article ; Online: Using Gait Variability to Predict Inter-individual Differences in Learning Rate of a Novel Obstacle Course.

Ulman, Sophia / Ranganathan, Shyam / Queen, Robin / Srinivasan, Divya

Annals of biomedical engineering

2019 Volume 47, Issue 5, Page(s) 1191–1202

Abstract: This study aimed to determine whether inter-individual differences in learning rate of a novel motor task could be predicted by movement variability exhibited in a related baseline task, and determine which variability measures best discriminate ... ...

Abstract	This study aimed to determine whether inter-individual differences in learning rate of a novel motor task could be predicted by movement variability exhibited in a related baseline task, and determine which variability measures best discriminate individual differences in learning rate. Thirty-two participants were asked to repeatedly complete an obstacle course until achieving success in a dual-task paradigm. Their baseline gait kinematics during self-paced level walking were used to calculate stride-to-stride variability in stride characteristics, joint angle trajectories, and inter-joint coordination. The gait variability measures were reduced to functional attributes through principal component analysis and used as predictors in multiple linear regression models. The models were used to predict the number of trials needed by each individual to complete the obstacle course successfully. Frontal plane coordination variability of the hip-knee and knee-ankle joint couples in both stance and swing phases of baseline gait were the strongest predictors, and explained 62% of the variance in learning rate. These results show that gait variability measures can be used to predict short-term differences in function between individuals. Future research examining statistical persistence in gait time series that can capture the temporal dimension of gait pattern variability, may further improve learning performance prediction.
MeSH term(s)	Adult ; Ankle Joint/physiology ; Biomechanical Phenomena ; Female ; Gait/physiology ; Hip Joint/physiology ; Humans ; Individuality ; Knee Joint/physiology ; Male ; Walking/physiology
Language	English
Publishing date	2019-03-01
Publishing country	United States
Document type	Clinical Trial ; Journal Article
ZDB-ID	185984-5
ISSN	1573-9686 ; 0191-5649 ; 0090-6964
ISSN (online)	1573-9686
ISSN	0191-5649 ; 0090-6964
DOI	10.1007/s10439-019-02236-x
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Article ; Online: A novel method for measuring asymmetry in kinematic and kinetic variables: The normalized symmetry index.

Queen, Robin / Dickerson, Laura / Ranganathan, Shyam / Schmitt, Daniel

Journal of biomechanics

2019 Volume 99, Page(s) 109531

Abstract: Gait and movement asymmetries are important variables for assessing locomotor mechanics in humans and other animals and as a predictor of injury risk and success of clinical interventions. The four indices used most often to assess symmetry are not well ... ...

Abstract	Gait and movement asymmetries are important variables for assessing locomotor mechanics in humans and other animals and as a predictor of injury risk and success of clinical interventions. The four indices used most often to assess symmetry are not well designed for different variable types, perform poorly when presented with cases of high asymmetry or when variables are of low magnitude, and are easily influenced by small variation in the signal. The purpose of the present study was to test the performance of these indices on previously unpublished data on ACL-R patients and to propose a new index to resolve some of these limitations. The performance of four currently used indices and a new index-the Normalized Symmetry Index (NSI), which is scaled to the range of variables being tested across multiple trials-were compared using force and angular data on participants who had undergone anterior cruciate ligament reconstruction and healthy controls. The NSI performed well compared to all other indices with all variables and had the additional benefit of returning values that range from 0% (full symmetry) to ±100% (full asymmetry). Therefore, the NSI can serve as a universal index for assessing asymmetry in humans, nonhuman animal models, and in a clinical context for assessing risk for injury and clinical outcomes.
MeSH term(s)	Adult ; Anterior Cruciate Ligament Reconstruction ; Biomechanical Phenomena ; Female ; Gait ; Humans ; Kinetics ; Male ; Mechanical Phenomena
Language	English
Publishing date	2019-11-20
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	218076-5
ISSN	1873-2380 ; 0021-9290
ISSN (online)	1873-2380
ISSN	0021-9290
DOI	10.1016/j.jbiomech.2019.109531
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Article ; Online: Maternal proximity to Central Appalachia surface mining and birth outcomes.

Buttling, Lauren G / McKnight, Molly X / Kolivras, Korine N / Ranganathan, Shyam / Gohlke, Julia M

Environmental epidemiology (Philadelphia, Pa.)

2021 Volume 5, Issue 1, Page(s) e128

Abstract: Maternal residency in Central Appalachia counties with coal production has been previously associated with increased rates of low birth weight (LBW). To refine the relationship between surface mining and birth outcomes, this study employs finer ... ...

Abstract	Maternal residency in Central Appalachia counties with coal production has been previously associated with increased rates of low birth weight (LBW). To refine the relationship between surface mining and birth outcomes, this study employs finer spatiotemporal estimates of exposure. Methods: We developed characterizations of annual surface mining boundaries in Central Appalachia between 1986 and 2015 using Landsat data. Maternal address on birth records was geocoded and assigned amount of surface mining within a 5 km radius of residence (street-level). Births were also assigned the amount of surface mining within residential ZIP code tabulation area (ZCTA). Associations between exposure to active mining during gestation year and birth weight, LBW, preterm birth (PTB), and term low birth weight (tLBW) were determined, adjusting for outcome rates before active mining and available covariates. Results: The percent of land actively mined within a 5 km buffer of residence (or ZCTA) was negatively associated with birth weight (5 km: β = -14.07 g; 95% confidence interval [CI] = -19.35, -8.79, Conclusions: Maternal residency near active surface mining during gestation may increase risk of PTB and LBW.
Language	English
Publishing date	2021-01-25
Publishing country	United States
Document type	Journal Article
ISSN	2474-7882
ISSN (online)	2474-7882
DOI	10.1097/EE9.0000000000000128
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Article ; Online: Associations Between Surface Mining Airsheds and Birth Outcomes in Central Appalachia at Multiple Spatial Scales.

McKnight, Molly X / Kolivras, Korine N / Buttling, Lauren G / Gohlke, Julia M / Marr, Linsey C / Pingel, Thomas J / Ranganathan, Shyam

GeoHealth

2022 Volume 6, Issue 10, Page(s) e2022GH000696

Abstract: A considerable body of research exists outlining ecological impacts of surface coal mining, but less work has explicitly focused on human health, and few studies have examined potential links between health and surface coal mining at fine spatial scales. ...

Abstract	A considerable body of research exists outlining ecological impacts of surface coal mining, but less work has explicitly focused on human health, and few studies have examined potential links between health and surface coal mining at fine spatial scales. In particular, relationships between individual birth outcomes and exposure to air contaminants from coal mining activities has received little attention. Central Appalachia (portions of Virginia, West Virginia, Kentucky, and Tennessee, USA), our study area, has a history of resource extraction, and epidemiologic research notes that the region experiences a greater level of adverse health outcomes compared to the rest of the country that are not fully explained by socioeconomic and behavioral factors. The purpose of this study is to examine associations between surface mining and birth outcomes at four spatial scales: individual, Census tract, county, and across county-sized grid cells. Notably, this study is among the first to examine these associations at the individual scale, providing a more direct measure of exposure and outcome. Airsheds were constructed for surface mines using an atmospheric trajectory model. We then implemented linear (birthweight) and logistic (preterm birth [PTB]) regression models to examine associations between airsheds and birth outcomes, which were geocoded to home address for individual analyses and then aggregated for areal unit analyses, while controlling for a number of demographic variables. This study found that surface mining airsheds are significantly associated with PTB and decreased birthweight at all four spatial scales, suggesting that surface coal mining activities impact birth outcomes via airborne contaminants.
Language	English
Publishing date	2022-10-01
Publishing country	United States
Document type	Journal Article
ISSN	2471-1403
ISSN (online)	2471-1403
DOI	10.1029/2022GH000696
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Article ; Online: Daily exposure to virtual nature reduces symptoms of anxiety in college students.

Browning, Matthew H E M / Shin, Seunguk / Drong, Gabrielle / McAnirlin, Olivia / Gagnon, Ryan J / Ranganathan, Shyam / Sindelar, Kailan / Hoptman, David / Bratman, Gregory N / Yuan, Shuai / Prabhu, Vishnunarayan Girishan / Heller, Wendy

Scientific reports

2023 Volume 13, Issue 1, Page(s) 1239

Abstract: Exposure to natural environments offers an array of mental health benefits. Virtual reality provides simulated experiences of being in nature when outdoor access is limited. Previous studies on virtual nature have focused mainly on single "doses" of ... ...

Abstract	Exposure to natural environments offers an array of mental health benefits. Virtual reality provides simulated experiences of being in nature when outdoor access is limited. Previous studies on virtual nature have focused mainly on single "doses" of virtual nature. The effects of repeated exposure remain poorly understood. Motivated by this gap, we studied the influence of a daily virtual nature intervention on symptoms of anxiety, depression, and an underlying cause of poor mental health: rumination. Forty college students (58% non-Hispanic White, median age = 19) were recruited from two U.S. universities and randomly assigned to the intervention or control group. Over several weeks, anxious arousal (panic) and anxious apprehension (worry) decreased with virtual nature exposure. Participants identifying as women, past VR users, experienced with the outdoors, and engaged with the beauty in nature benefited particularly strongly from virtual nature. Virtual nature did not help symptoms of anhedonic depression or rumination. Further research is necessary to distinguish when and for whom virtual nature interventions impact mental health outcomes.
MeSH term(s)	Humans ; Female ; Young Adult ; Adult ; Anxiety/psychology ; Anxiety Disorders ; Virtual Reality ; Mental Health ; Students/psychology
Language	English
Publishing date	2023-01-23
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-28070-9
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