cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/pcxqqz/hnbryg
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/7voub0
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/tnprsn
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/mutzxs
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/7xg2cv
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/kmahho
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/meiqba
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/wgafny
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/6cyc3a
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/a4xhbz
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/65q72j
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/laqmbo
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/yces1m
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/g472fb
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/evlwqj
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/as0mft
title: optimised.out

description: :unav
DOI: 10.15468/dl.afjtr2
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spodoptera cosmioides"
 ]
}

 The dataset includes 182 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010063-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/pcxqqz/ogtr4g
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/tesqz1
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/qsazw2
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/fr2kcx
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/ji1uve
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/wcfxdq
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/zqfv7o
title: energies_opt_b2plyp.tab

description: :unav
DOI: 10.25625/pcxqqz/zczede
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/v4itju
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/wo5h1m
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/2yvdgv
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/ksa3fu
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/lwxqrb
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/uztktr
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/bo308y
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/ycaive
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/iqcppu
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/qjbifs
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/7btqeh
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/wo3sau
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/39aepn
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/nxizmn
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/uxundy
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/crsmc3
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/ytfzop
title: optimised.out

description: :unav
DOI: 10.6084/m9.figshare.30501695
title: A cross-sectional study on Prediction of Stature from Arm and Forearm Length in the Age Group of 18 to 25 Years of Addis Ababa Population, Addis Ababa, Ethiopia, December 2023

description: Stature refers to a person's height from crown to heel length. but identification in a dead body can rely on different identification features such as age, sex, stature, and other identification marks, with stature being the most distinguishing feature of identification. Identifying an individual from mutilated, decomposed, and amputated body fragments has become increasingly important in recent years as a result of natural disasters (such as earthquakes, tsunamis, cyclones, and floods) and man-made disasters (such as terror attacks, bomb blasts, wars, and plane crashes).<b>Objective:</b> -To predict stature from arm and forearm length in the age group of 18 to 25 years of Addis Ababa Population, Addis Ababa, Ethiopia<b>Method</b>s: -A descriptive, cross-sectional, prospective study was conducted. Participants were selected randomly. Data entered and analyzed with SPSS version 23. A simple linear regression model was computed to estimate stature from arm and forearm length.<b>Result: -</b> A total of 300 individuals with equal male-to-female proportion, 150 males and 150 females. Height ranged from 147.5cm to 188cm, with a mean and standard deviation of 165.26 ± 7.36. For the total participants Stature = 23.144 + 4.212(right arm length), R-value of 0.884, Stature = 22.104 + 4.238(left arm length), R-value of 0.886. For male, Stature = 42.352 + 3.693(right arm length) , R-value of 0.827, and Stature = 42.224 + 3.693(left arm length) , R-value of 0.830. For female, Stature = 55.705 + 3.182(right arm length) , R-value of 0.790, and Stature = 54.040 + 3.228(left arm length) , R-value of 0.796..<b>Conclusion:-</b> There is a notable and statistically significant correlation between stature and both arm and forearm lengths across genders and on both sides of the body
DOI: 10.6084/m9.figshare.30501695.v1
title: A cross-sectional study on Prediction of Stature from Arm and Forearm Length in the Age Group of 18 to 25 Years of Addis Ababa Population, Addis Ababa, Ethiopia, December 2023

description: Stature refers to a person's height from crown to heel length. but identification in a dead body can rely on different identification features such as age, sex, stature, and other identification marks, with stature being the most distinguishing feature of identification. Identifying an individual from mutilated, decomposed, and amputated body fragments has become increasingly important in recent years as a result of natural disasters (such as earthquakes, tsunamis, cyclones, and floods) and man-made disasters (such as terror attacks, bomb blasts, wars, and plane crashes).<b>Objective:</b> -To predict stature from arm and forearm length in the age group of 18 to 25 years of Addis Ababa Population, Addis Ababa, Ethiopia<b>Method</b>s: -A descriptive, cross-sectional, prospective study was conducted. Participants were selected randomly. Data entered and analyzed with SPSS version 23. A simple linear regression model was computed to estimate stature from arm and forearm length.<b>Result: -</b> A total of 300 individuals with equal male-to-female proportion, 150 males and 150 females. Height ranged from 147.5cm to 188cm, with a mean and standard deviation of 165.26 ± 7.36. For the total participants Stature = 23.144 + 4.212(right arm length), R-value of 0.884, Stature = 22.104 + 4.238(left arm length), R-value of 0.886. For male, Stature = 42.352 + 3.693(right arm length) , R-value of 0.827, and Stature = 42.224 + 3.693(left arm length) , R-value of 0.830. For female, Stature = 55.705 + 3.182(right arm length) , R-value of 0.790, and Stature = 54.040 + 3.228(left arm length) , R-value of 0.796..<b>Conclusion:-</b> There is a notable and statistically significant correlation between stature and both arm and forearm lengths across genders and on both sides of the body
DOI: 10.25625/pcxqqz/mlvzws
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/phhnjx
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/enbkcs
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/qefz3g
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/mr1yx6
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/mudjth
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/v3zwuw
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/2inkin
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/ysebed
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/ljsqoj
title: optimised.out

description: :unav
DOI: 10.15468/dl.hhfbug
title: Occurrence Download

description: A dataset containing 7714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is National Mammal Atlas Project, online recording",
 "TaxonKey is Lutra lutra"
 ]
}

 The dataset includes 7714 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010064-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/pcxqqz/xuqtac
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/2kjotm
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/yhz7yo
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/tnhqzm
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/0rtt6h
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/8u50mf
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/zjlkln
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/qrqa8o
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/o2wyfs
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/oofv1j
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/pfsqoy
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/3t33qi
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/y43l0k
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/q2x2e4
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/tvfykj
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/sdhrul
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/eghwbt
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/hd2wmi
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/s3wx8l
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/io1dyx
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/yosnhx
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/l94dsc
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/vxfrsa
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/a6rcwe
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/w1ofiu
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/i2ytfo
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/3kaufw
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/h1hapq
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/j5sln2
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/avnpol
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/1isqyn
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/qoo5dl
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/gdslor
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/21znka
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/j36mtr
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/ixbn0s
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/ondzoa
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/gk3iec
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/wzysxp
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/c3rgtd
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/maqbjl
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/pahrh0
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/gwgrzc
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/d2b4xo
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/cnfiwn
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/fbtxki
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/yeldst
title: optimised.out

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DOI: 10.25625/pcxqqz/kv1aem
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/xxddt1
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/859ghv
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/lwifpf
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/4mnxwv
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/b9uji4
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/7yrikv
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/xnmeuj
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/sizaal
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/tiyzry
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/802saq
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/ujbja4
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/miijvq
title: optimised.out

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DOI: 10.25625/pcxqqz/5hgtg0
title: optimised.out

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DOI: 10.25625/pcxqqz/kt5mcu
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/tulmn7
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/cmfsvk
title: optimised.out

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DOI: 10.25625/pcxqqz/h1i0de
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/wp4kuk
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/jrd8ov
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/5kng9r
title: optimise.log

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DOI: 10.25625/pcxqqz/oewuke
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/ponjiy
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/ntqvxz
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/idkgjl
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/mitzzh
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/8ks60h
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/8plc9b
title: optimised.out

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DOI: 10.25625/pcxqqz/udksms
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/3lks9y
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/fhxodc
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/w11nim
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/ufa9lj
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/iidmgg
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/lov8nj
title: optimise_old.log

description: :unav
DOI: 10.25625/pcxqqz/yfi2lb
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/2yfhyu
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/gfw9tg
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/0xklq0
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/2vilpm
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/lpds6f
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/0mwasx
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/mracwn
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/rqemff
title: energies_opt_pbe0.tab

description: :unav
DOI: 10.25625/pcxqqz/v5li0d
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/sedqug
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/2khc0i
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/3co1hv
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/y7mgnn
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/t7ewxv
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/cycafy
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/clj2jk
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/acdhxt
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/z8kdtb
title: optimised.xyz

description: :unav
DOI: 10.6084/m9.figshare.29485148
title: <b>Conservation agriculture</b><b> enhances </b><b>global yield </b><b>resilience</b><b> to </b><b>climate extremes</b>

description: Global food security relies on the resilience of dominant crops to intensifying climate extremes. Conservation agriculture (CA), integrating minimal tillage, permanent soil cover, and crop diversification, is widely advocated as a climate-smart strategy, yet global, data-driven evidence for its effectiveness in strengthening crop yield resilience under climate extremes is lacking. We synthesized 7,350 yield records of eight staple crops from 397 long-term experiments to assess whether CA enhances global crop yields and their temporal stability by providing resistance during, and recovery after, extreme climate events. Complete CA systems, adopting all three principles simultaneously, increased both mean yield and interannual stability during climate events, whereas partial adoption reduced stability and amplified historical yield losses. Contrary to prevailing assumptions, CA provided limited resistance during extremes but substantially enhanced recovery afterward, especially following drought. Crop type and adoption duration play a central role in building CA’s resilience. Long-term (&gt;15 years) and crop-tailored implementation of complete CA systems delivers enduring gains in yield stability, food security, and climate resilience, establishing a foundation for adaptation to future climate extremes.
DOI: 10.6084/m9.figshare.29485148.v2
title: <b>Conservation agriculture</b><b> enhances </b><b>global yield </b><b>resilience</b><b> to </b><b>climate extremes</b>

description: Global food security relies on the resilience of dominant crops to intensifying climate extremes. Conservation agriculture (CA), integrating minimal tillage, permanent soil cover, and crop diversification, is widely advocated as a climate-smart strategy, yet global, data-driven evidence for its effectiveness in strengthening crop yield resilience under climate extremes is lacking. We synthesized 7,350 yield records of eight staple crops from 397 long-term experiments to assess whether CA enhances global crop yields and their temporal stability by providing resistance during, and recovery after, extreme climate events. Complete CA systems, adopting all three principles simultaneously, increased both mean yield and interannual stability during climate events, whereas partial adoption reduced stability and amplified historical yield losses. Contrary to prevailing assumptions, CA provided limited resistance during extremes but substantially enhanced recovery afterward, especially following drought. Crop type and adoption duration play a central role in building CA’s resilience. Long-term (&gt;15 years) and crop-tailored implementation of complete CA systems delivers enduring gains in yield stability, food security, and climate resilience, establishing a foundation for adaptation to future climate extremes.
DOI: 10.25625/pcxqqz/hgrsic
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/uu0wbk
title: optimised.out

description: :unav
DOI: 10.6084/m9.figshare.29485148.v1
title: Conservation agriculture boosts global yield resilience to climate extremes

description: By compiling a global dataset of 7,350 yield observations comparing CA with conventional systems from 397 experiments—each comprising at least three years of continuous yield data for the same crop—across 56 countries on all continents, we developed a quantitative framework to assess how CA determines crop productivity resilience to climate extremes.
DOI: 10.25625/pcxqqz/6zs8bw
title: extrapolatingCC_small_molecules_dataset_curated.tab

description: :unav
DOI: 10.5281/zenodo.17495976
title: IR Spectra of Adhesives and Backings of Electrical Tapes

description: The dataset comprises infrared (IR) spectra of both adhesive and backing sides of electrical tapes collected from 25 different manufacturers available in the Indian market. It includes raw spectral data (4000–400 cm⁻¹), trimmed spectra (with noise and carbon dioxide regions removed), processed spectra, and the corresponding principal component (PC) data. The computation of principal components was performed using Unscrambler X software to facilitate chemometric and multivariate statistical analyses. This dataset provides a valuable reference resource for forensic, industrial, and material characterization studies involving pressure-sensitive adhesive tapes.
DOI: 10.5281/zenodo.17495977
title: IR Spectra of Adhesives and Backings of Electrical Tapes

description: The dataset comprises infrared (IR) spectra of both adhesive and backing sides of electrical tapes collected from 25 different manufacturers available in the Indian market. It includes raw spectral data (4000–400 cm⁻¹), trimmed spectra (with noise and carbon dioxide regions removed), processed spectra, and the corresponding principal component (PC) data. The computation of principal components was performed using Unscrambler X software to facilitate chemometric and multivariate statistical analyses. This dataset provides a valuable reference resource for forensic, industrial, and material characterization studies involving pressure-sensitive adhesive tapes.
DOI: 10.25625/pcxqqz/4mo8jc
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/nys6vf
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/rhpsh7
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/pf7nvf
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/rfxkig
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/jag4k1
title: optimised.xyz

description: :unav
DOI: 10.25625/pcxqqz/lwebr0
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/wqzd9i
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/p8qzor
title: optimised.out

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DOI: 10.25625/pcxqqz/wamvgf
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/asbjq8
title: optimise.log

description: :unav
DOI: 10.25625/pcxqqz/eui9p1
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz/eae3w8
title: optimised.out

description: :unav
DOI: 10.25625/pcxqqz
title: Supporting Information: Application of Machine Learning Techniques to the N-particle Expansion.

description: Repository of supplementary materials linked to the PhD thesis "Application of Machine Learning Techniques to the N-particle Expansion", containing curated datasets, benchmark calculations, input and output files, that support the development and validation of machine learning methods in quantum chemistry. These resources are organised by chapter to facilitate reuse and reproducibility.
DOI: 10.6069/w1be-h337
title: Angiotensin I and II in Human Plasma and Serum and Mouse Plasma

description: Fast turn around monitoring of Angiotensin I and II in blood. Plasma and Serum samples were digested with an HTA Protease in 20 minutes, spiked with SIL Angiotensin I and II and analyzed by targeted LC-MS. This preliminary data demonstrates that Angiotensin I and II can be rapidly measured and multiplexed with several proteins using the methodology. This methodology allows an unprecedent ability to monitor circulating biomarkers in almost real-time.
DOI: 10.5281/zenodo.17496081
title: Do Cash Transfers Empower Women? A Case Study of VZW Cash Transfer Program in Uganda
DOI: 10.5281/zenodo.17496082
title: Do Cash Transfers Empower Women? A Case Study of VZW Cash Transfer Program in Uganda