bluuebunny/crossref_metadata_2025_split huggingface dataset:
Are African irrigation dam projects for large-scale agribusiness or small-scale farmers?
Authors: Tatlhego Mokganedi , D’Odorico Paolo 
Published: August 2021

Abstract
The economic development of rural economies across the global south is often related to access to water and the development of water infrastructure. It has been argued that the construction of new dams would unleash the agricultural potential of African nations that are exposed to seasonal water scarcity, strong interannual rainfall variability, and associated uncertainties in water availability. While water security is often presented as the pathway to poverty alleviation and invoked to justify large dam projects for irrigation, it is still unclear to what extent small holders will benefit from them. Are large dams built to the benefit of subsistence farmers or of large-scale commercial agriculture? Here we use remote sensing imagery in conjunction with advanced machine learning algorithms to map the irrigated areas (or ‘command areas’) that have appeared in the surroundings of 18 major dams built across the African continent between 2000 and 2015. We quantify the expansion of irrigation afforded by those dams, the associated changes in population density, forest cover, and farm size. We find that, while in the case of nine dams in the year 2000 there were no detectable farming patterns, in 2015 a substantial fraction of the command area (ranging between 8.5% and 96.7%) was taken by large-scale farms (i.e., parcels >200 ha). Seven of the remaining 9 dams showed a significant increase in average farm size and number of farms between 2000 and 2015, with large-scale farming accounting for anywhere between 5.2% and 76.7% of the command area. Collectively, these results indicate that many recent dam projects in Africa are associated either with the establishment of large-scale farming or a transition from small-scale to mid-to-large scale agriculture.
Low voltage and robust InSe memristor using van der Waals electrodes integration
Authors: Li Qianyuan , Tao Quanyang , Chen Yang , Kong Lingan , Shu Zhiwen , Duan Huigao , Liao Lei , Liu Yuan 
Published: August 2021

Abstract
Memristors have attracted tremendous interest in the fields of high-density memory and neuromorphic computing. However, despite the tremendous efforts that have been devoted over recent years, high operating voltage, poor stability, and large device variability remain key limitations for its practical application and can be partially attributed to the un-optimized interfaces between electrodes and the channel material. We demonstrate, for the first time, a van der Waals (vdW) memristor by physically sandwiching pre-fabricated metal electrodes on both sides of the two-dimensional channel material. The atomically flat bottom electrode ensures intimate contact between the channel and electrode (hence low operation voltage), and the vdW integration of the top electrode avoids the damage induced by aggressive fabrication processes (e.g. sputtering, lithography) directly applied to the channel material, improving device stability. Together, we demonstrate memristor arrays with a high integration density of 1010 cm−2, high stability, and the lowest set/reset voltage of 0.12 V/0.04 V, which is a record low value for all 2D-based memristors, as far as we know. Furthermore, detailed characterizations are conducted to confirm that the improved memristor behavior is the result of optimized metal/channel interfaces. Our study not only demonstrates robust and low voltage memristor, but also provides a general electrode integration approach for other memristors, such as oxide based memristors, that have previously been limited by non-ideal contact integration, high operation voltage and poor device stability.
A-88 College Students with Depression or Anxiety: Greater Subjective Cognitive Concerns, Lower Academic Self-Efficacy, but Comparable Compensatory Cognitive Strategy Use
Authors: Karr Justin E , White Agnes E 
Published: August 2021

Abstract

Objective
This study examined whether college students with and without depression or anxiety differed in subjective cognitive concerns, college self-efficacy, and compensatory cognitive strategy use, hypothesizing that students with depression or anxiety would report greater cognitive concerns and lower self-efficacy in coursework, but comparable frequencies of compensatory cognitive strategy use. If confirmed, this finding would imply that, despite greater cognitive and academic problems, students with depression or anxiety do not implement behaviors in their everyday lives to address these problems.

Method
Participants (N = 582; age: 19.0 ± 1.0 years-old; 79.4% women; 81.9% White) completed online self-report questionnaires on subjective cognitive functioning, academic self-efficacy, compensatory cognitive strategy use, and depression and anxiety symptoms, which were used to categorize participants as having anxiety or depression based on established clinical cutoffs.

Results
Participants with anxiety or depression reported higher rates of elevated cognitive concerns, χ2 = 108.70, p &lt; 0.001, OR = 7.75, and lower academic self-efficacy, t = 8.46, p &lt; 0.001, d = 0.71, compared to participants without anxiety or depression, but these groups differed only modestly in compensatory cognitive strategy use, t = 2.42, p = 0.016, d = 0.20.

Conclusion(s)
Most students with depression or anxiety had elevated subjective cognitive concerns (52.0%), compared to a minority of participants without these conditions (12.3%). Despite substantially elevated cognitive concerns, participants with anxiety or depression reported only modestly greater compensatory cognitive strategy use. There appears to be a need to address cognitive concerns in college students with psychiatric conditions, and compensatory cognitive training may be a valuable supplemental service for clinicians working with college students in mental healthcare settings.
A-10 High Score Multivariate Base Rates for the Spanish-Language NIH Toolbox Cognition Battery: Potential Resource for Assessing High-Functioning Spanish-Speaking Patients
Authors: Karr Justin E , Mindt Monica Rivera , Iverson Grant L 
Published: August 2021

Abstract

Objective
This study involved the preparation of high score multivariate base rates for the Spanish-language NIH Toolbox Cognition Battery (NIHTB-CB) to inform neuropsychological practice with high-functioning Spanish-speaking patients.

Method
Participants included 250 healthy adults from the Spanish-language NIHTB-CB normative sample (M = 38.8 ± 13.7 years-old; 72.0% women; 100% Latinx) who completed the full battery (2 crystallized and 5 fluid cognition tests). Multivariate base rates quantified the frequency at which participants obtained 1+ fluid test scores ≥50th, ≥63rd, ≥75th, ≥84th, ≥91st, ≥95th, and ≥ 98th percentile based on age-adjusted and demographic-adjusted normed scores, with stratifications based on education, crystallized ability, and sociocultural characteristics.

Results
It was common for participants in the normative sample to obtain 1+ high scores (50.8% obtained 1+ scores ≥84th percentile) and uncommon for participants to obtain no high scores, especially when using lower, non-conventional thresholds for defining a high score (10.8% obtained no scores ≥50th percentile). The frequency of participants obtaining no high scores varied by education (36.8% with &lt;12 years obtained no scores ≥63rd percentile vs. 2.1% with ≥16 years), crystallized ability (47.8% with below average ability obtained no scores ≥75th percentile vs. 21.9% with above average ability), and sociocultural characteristics (37.1% from households below national median income obtained no scores ≥75th vs. 6.9% from households above).

Conclusion(s)
The frequency of high scores varied by education, crystallized ability, and sociocultural characteristics, which was not fully accounted for by use of demographic-adjusted norms. In high-functioning patients and patients of higher socioeconomic status, the absence of high scores is uncommon and may indicate cognitive decline.
A-114 Neurocognitive Correlates of Persistent Post-Concussion Syndrome in Youth
Authors: Anzalone Christopher , Bridges Rachel M , Luedke Jessica C , Decker Scott L 
Published: August 2021

Abstract

Objective
In the U.S., youths account for most annual mild traumatic brain injury (mTBI) cases. Often mTBI patients experience impairing symptoms that affect several domains of functioning, typically these symptoms remit within a month though many patients will experience impairing symptoms that persist for greater than three months. Due to the current difficulties in diagnosing this condition in a standardized way, the current study aims to clarify the cognitive profiles of persistent post-concussion syndrome (PPCS) in youth patients.

Method
30 youths between the ages of 8 and 18 years participated. 15 youths with mTBI symptoms for greater than three months were recruited from a mTBI treatment clinic. An additional 15 youths without a mTBI history were recruited as a control group. All participants underwent cognitive testing using the standard Woodcock-Johnson Tests of Cognitive Abilities battery. Logistic regression analyses explored the importance of cognitive processing speed and working memory for identifying youth patients with PPCS. Further exploratory analyses were conducted to clarify additional cognitive domains that may be impacted by PPCS.

Results
Findings suggest processing speed and working memory abilities alone are not adequate for identifying patients with PPCS and measures of processing speed, fluid reasoning, working memory, and long-term retrieval may be important to consider when differentially diagnosing PPCS.

Conclusions
More research is needed to appropriately identify and validate diagnostic practices for PPCS in youth. Our findings provide a basis for future work and suggests neuropsychological batteries that include measures for these four cognitive domains may be valuable for identifying PPCS in youth patients.
A-123 Characterizing Sex Differences on the Comprehensive Traumatic Brain Injury Evaluation (CTBIE) in U.S. Military Veterans: A Million Veteran Program (MVP) Study
Authors: Merritt Victoria C , Chanfreau-Coffinier Catherine , Sakamoto McKenna S , Jak Amy J , Hanson Karen L , Delano-Wood Lisa 
Published: August 2021

Abstract

Objective
Although emerging data suggest that women with traumatic brain injury (TBI) may suffer greater neurobehavioral dysfunction in both the post-acute and chronic phases of injury, sex differences have been severely understudied within the context of military TBI. Therefore, we examined sex differences on the Comprehensive Traumatic Brain Injury Evaluation (CTBIE) using a diverse sample of Iraq/Afghanistan-era Veterans enrolled in the VA’s Million Veteran Program.

Method
14,378 Veterans (n = 1361 females [9.5%]) completed the CTBIE, a clinician-administered TBI interview. Chi-square analyses and logistic regressions (adjusting for age, race/ethnicity, and education) were used to explore associations between sex and CTBIE diagnostics, injury-related characteristics, neurobehavioral symptoms and other psychiatric comorbidities, and functional outcomes.

Results
Confirmed TBI diagnoses were more frequent among males than females (65% vs. 58%) and significant sex differences were observed across several CTBIE outcomes (p’s ≤ 0.001; $ \phi $/Cramer’s V = 0.03–0.14). Relative to females, a greater proportion of males experienced bullet and blast-related injuries and were employed. In contrast, a greater proportion of females experienced falls, reported clinically significant neurobehavioral symptoms (particularly cognitive and affective-related symptoms as well as symptom interference with daily life), failed symptom validity measures, and endorsed higher comorbid psychiatric symptoms.

Conclusions
Results indicate that males and females experience differential clinical and functional outcomes on the CTBIE, particularly with respect to injury-related characteristics, symptom endorsement, and employment. Findings underscore the need for female Veteran participation in TBI research in order to improve our understanding of sex-specific experiences with TBI and its sequelae, as well as to improve clinical care targeted to this vulnerable population.
A-173 Clinical Cutoffs on the State–Trait Anxiety Inventory for Concussion
Authors: Womble Melissa , Jennings Sabrina , Schatz Philip , Elbin R J 
Published: August 2021

Abstract

Objective
The State–Trait Anxiety Inventory (STAI) is a widely used measure of state anxiety with a proposed raw score cutoff of &gt;40 denoting probable clinical levels of anxiety. The mean score for high school aged individuals is approximately 40, corresponding with the 56th (male) and 51st (female) percentiles. The use of this cutoff classifies approximately 50% of individuals with clinically significant anxiety. In contrast, empirically based cut-offs (e.g., 1SD above the mean), classifies a more appropriate percentage of cases. The purpose of this study was to document the percentage of patients surpassing the proposed clinical cutoffs for the STAI using traditional and empirically based cutoffs in concussed high school athletes.

Methods
Participants were 273 concussed high school athletes (15.89 ± 1.1 yrs) who completed the STAI (Form Y-1) at their first clinical visit within 2–30 days of injury. Participants with a personal history of anxiety were excluded. The percentage of participants exceeding current clinical cutoffs for the STAI (i.e., &gt;40) and exceeding &gt;1, &gt;1.5, and &gt; 2 SD were calculated using high school normative data.

Results
Overall, 37% of participants exceeded the proposed raw score cutoff (&gt;40) for the STAI. Approximately 12%, 4%, and 2% of participants exhibited STAI scores that exceeded &gt;1, &gt;1.5, and &gt; 2 SD respectively.

Conclusions
The proposed cutoff score of &gt;40 for the STAI is overly inclusive and not appropriate for identifying probable clinical levels of state anxiety in concussed adolescent athletes. Use of empirically based cutoffs is more appropriate when attempting to identify clinically significant anxiety post-concussion.
A-185 An Analysis of Rarely Missed Items on the TOMM
Authors: Harrell Murphy , Myers Melissa , Hawley Nanako , Pizer Jasmin , Hill Benjamin 
Published: August 2021

Abstract

Objective
This study examined item performance on Trial 1 of the Test of Memory Malingering (TOMM). We also identified items that were most often missed in individuals with genuine effort.

Method
Participants were 106 adults seen for disability claims (87.7% male; 70.5% Caucasian, 26.7% Black; age range 22–84 years, Mage = 44.42 years, SD = 13.07; Meducation = 13.58, SD = 2.05) who completed and passed the TOMM as part of a larger battery. Mean score Trial 1 was 43.08, SD = 5.49. Mean score on Trial 2 was 48.98, SD = 1.54.

Results
Frequency analysis indicated that &gt;95% of the sample correctly identified six items on Trial 1: item 1-spinning wheel (97.2%), item 8-musical notes (99.1%), item 38-ice cream (98.1%), item 41-life preserver (95.3%), item 45-iron (95.3%), and item 47-dart (98.1%). Nine items were correctly identified on Trial 1 by &lt;80% of the sample: item 2-tissue box (77.4%), item 6-suitcase (77.4%), item 20-motorcycle (77.4%), item 22-jack-in-the box (71.7%), item 26-light bulb (75.5%), item 27-maple leaf (72.6%), item 32-racket (79.2%), item 36-birdhouse (79.2%), item 44-pail & shovel (66.0%).

Conclusions
These findings suggest that items on Trial 1 of the TOMM differ in difficulty in a disability claims sample who performed genuinely on the TOMM. Items 1, 8, 38, 41, 45, and 47 are good candidates for a rarely missed index where failure of these items would be probabilistically unlikely. Future research should evaluate whether these items are failed at higher rates in cases of borderline TOMM performance to improve sensitivity to feigning.
A-197 Trail Making Test Normative Data from the National Alzheimer’s Coordinating Center: A Comparison of Regression and Non-Regression Methods
Authors: Patel Saranya , Schaffert Jeffrey , Carlew Anne , Conley Michael , Rossetti Heidi , Denney David , Cullum Munro , Lacritz Laura 
Published: August 2021

Abstract

Objective
Various methods are used to derive normative data for neuropsychological assessment measures. The National Alzheimer’s Coordinating Center (NACC) regression norms (2011) are frequently used within Alzheimer’s Disease Research Centers, yet little research exists comparing these norms to similar regression/non-regression-based norms. Normative data for the widely-used Trail Making Test (TMTA&B) was compared between two regression-based normative data methods (Mitrushina and NACC) and traditional normative methods (i.e., Mayo’s Older Americans Normative Studies [MOANS]).

Method
TMTA&B data were obtained from 14,873 cognitively normal NACC participants (ages: 50–89; education: M = 15.81, SD = 2.90). T-scores for TMTA&B scores based on Mitrushina, NACC, and MOANS norms were computed. T-scores for regression norms were bounded from 20 to 80. Cohen’s d effect sizes were used to compare differences in scores.

Results
MOANS and Mitrushina norms produced similar normative scores in the overall sample (TMTA T-score difference = 1.06, d = 0.112, TMTB T-score difference = 1.4, d = 0.144). NACC-derived scores were ~ 0.5 SD below MOANS (TMTA T-score difference = −5.3, d = 0.553, TMTB T-score difference = −4.1, d = 0.427) and Mitrushina scores (TMTA T-score difference = −6.3, d = 0.736, TMTB T-score difference = −5.6, d = 0.615). NACC data produced the lowest average TMTA&B T-scores across all 5-year age band groups.

Conclusions
Significantly lower TMT scores were obtained using NACC’s regression-based norms compared to both MOANS norms and Mitrushina regression norms. These results underscore that the choice of norms may under and/or overestimate cognitive functioning, and comparison norms must be chosen carefully when making decisions about patients’ cognitive status. Future research applying NACC’s regression-based norms to other commonly used neuropsychological measures is warranted.
A-8 Sex Modifies the Association between CSF Neurogranin and Cognitive Decline in Older Adults
Authors: Gilbert Camdyn , Steinbach Marilyn , Kahn Omair , Liu Dandan , Thwaites Natalie , Cambronero Francis E , Moore Elizabeth E , Bown Corey W , Acosta Lealani , Spirko Katie Osborn , Pechman Kimberly R , Hohman Timothy J , Blennow Kaj , Zetterberg Henrik , Jefferson Angela , Gifford Katherine A 
Published: August 2021

Abstract

Objective
Neurogranin is a postsynaptic protein associated with declining memory and executive functioning in Alzheimer’s disease (ad). While previous research suggests neurogranin concentrations in ad are higher in women, it is unclear whether sex differences exist in earlier disease stages or predict different cognitive outcomes. This study investigates cerebrospinal fluid (CSF) neurogranin in relation to longitudinal cognitive decline in older adults ranging from normal cognition to mild cognitive impairment, assessing for interactions by sex.

Method
Vanderbilt Memory & Aging Project participants completed baseline fasting lumbar puncture (n = 155, 73 ± 8 years) for neurogranin quantification and serial neuropsychological assessments at 18-month intervals. Linear mixed effect regression adjusting for age, sex (for main effect models), race/ethnicity, education, cognitive diagnosis, depressed mood, and APOE-ε4 carrier status.

Results
CSF neurogranin predicted worse cognitive decline across multiple domains (p-values &lt;0.05). Sex interactions existed for Boston Naming Test (β = −0.007, p = 0.001), WAIS-IV Coding (β = −0.01, p = 0.02), Hooper Visual Orientation Test (β = −0.005, p = 0.02), and Category (animals) Fluency (β = −0.005, p = 0.048) wherein CSF neurogranin predicted worse decline among women (p-values≤0.03) but not men (p-values≥0.36).

Conclusion
Results suggest that among nondemented older adults, CSF neurogranin predicts worse longitudinal cognitive decline in women but not in men. Further research is needed to elucidate underlying mechanisms that may account for these differences, such as possible sex hormone factors. These findings highlight the importance of pursuing individualized prevention and treatment approaches to combat accelerated cognitive aging that take into account the possibility of multiple, divergent disease pathways preceding ad and dementia among various demographic groups.
A-19 The Effect of Type 2 Diabetes on Attention and Executive Functioning in Mild Cognitive Impairment Patients
Authors: Peart Zachary , Spagna Samantha , McDonald Bailey , Arias Brittny , Sydow D'anna , Golden Charles 
Published: August 2021

Abstract

Objective
To investigate the effects of Type 2 Diabetes (T2D) on performance on attention and executive function measures in a sample of MCI patients.

Method
Individuals with a clinician diagnosis of MCI with T2D and [n = 719,Mage = 75.24,50.3% female] and MCI persons without T2D [n = 719,Mage = 75.21,47.1% female] were selected from the Alzheimer’s Disease Research Centers database by the National Institute on Aging. Those with motor disturbances were excluded from the analysis. Significant differences (p &lt; 0.001) were found for race and education between groups.

Results
Multiple ANCOVAs controlled for gender, education, age, and race on performance. Significant differences (p &lt; 0.001) were found in performance on the Trail Making Test [A, B], Digit Span forward [longest recall, correct trials], Digit Span backward [longest recall, correct trials], and Verbal Fluency tasks [F word, L words]. No significant differences were found in the animal and vegetable naming fluency tasks. The T2D group showed poorer mean scores on every test analyzed.

Conclusion
Results indicated modestly lower performance on measures of attention and executive functioning in MCI patients with comorbid T2D. Previous research supports these conclusions, as T2D has been associated with increased risk for dementia, accelerated decline from MCI to dementia, and modestly lower scores on cognitive tests via effects of microvascular function and altered glucose metabolism. Future studies should aim to identify protective factors in T2D cognitive decrements while controlling for exercise, diet, SES, and underlying medical comorbidities. The NACC database is funded by NIA/NIH Grant U01 AG016976. NACC data are contributed by the NIA-funded Alzheimer’s Disease Research Centers.