bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of an online pan-European Integrated Pest Management Resource Toolbox
Authors: Ramsden Mark , Furiosi Margherita , Debenedettis Paolo , Stojacic Isidora , Mendes Marta , Munier-Jolain Nicolas , Caffi Tito 
Published: June 2022

The IPMWORKS IPM Resource Toolbox (Toolbox) has been developed as an interactive, online repository of integrated pest management (IPM) resources. Populated with high priority resources for farmers and their advisors during the project, its structure enables additional resources added over time. The repository is a public interactive website, available to anyone looking to access, understand, and implement IPM. Built on an open-source content management system, the toolbox is designed to require minimal post-production site maintenance and support, while being easily expanded to integrate resources from future initiatives. To ensure an efficient but comprehensive website design, population, maintenance, a survey of target user needs was conducted. Internal and external IPM stakeholders indicated the relative importance of key requirements such as practical information about diseases and pests’ management and economic thresholds. The resources were explained in different languages, with images, divided by topics, with the possibility to find additional details and accessible by smartphone. Feedbacks and answers from the survey, carried out across Europe in multiple languages, by different stakeholders provided the key elements and foundation for the IPM Resource Toolbox website development and specification.
A Prescriptive Machine Learning Method for Courier Scheduling on Crowdsourced Delivery Platforms
Authors: Behrendt Adam , Savelsbergh Martin , Wang He 
Published: June 2022

Crowdsourced delivery platforms face the unique challenge of meeting dynamic customer demand using couriers not employed by the platform. As a result, the delivery capacity of the platform is uncertain. To reduce the uncertainty, the platform can offer a reward to couriers that agree to be available to make deliveries for a specified period of time, that is, to become scheduled couriers. We consider a scheduling problem that arises in such an environment, that is, in which a mix of scheduled and ad hoc couriers serves dynamically arriving pickup and delivery orders. The platform seeks a set of shifts for scheduled couriers so as to minimize total courier payments and penalty costs for expired orders. We present a prescriptive machine learning method that combines simulation optimization for off-line training and a neural network for online solution prescription. In computational experiments using real-world data provided by a crowdsourced delivery platform, our prescriptive machine learning method achieves solution quality that is within 0.2%–1.9% of a bespoke sample average approximation method while being several orders of magnitude faster in terms of online solution generation. History: This paper has been accepted for the Transportation Science Special Issue on Emerging Topics in Transportation Science and Logistics. Funding: This work was supported in part by the National Science Foundation [Grant 2145661].
Toward high-bandwidth yellow-green micro-LEDs utilizing nanoporous distributed Bragg reflectors for visible light communication
Authors: Huang Wei-Ta , Peng Chun-Yen , Chiang Hsin , Huang Yu-Ming , Singh Konthoujam James , Lee Wei-Bin , Chow Chi-Wai , Chen Shih-Chen , Kuo Hao-Chung 
Published: June 2022

In this study, high

−
3

dB

bandwidth yellow-green InGaN/GaN micro-LEDs grown on polar c-plane GaN substrates are realized by using nanoporous distributed Bragg reflectors, which can increase light extraction efficiency and serve as strain-relaxed buffers to mitigate the quantum-confined Stark effect, resulting in improved external quantum efficiency. Moreover, atomic layer deposition technology is introduced for surface defect passivation, thereby reducing the leakage current. As a result, the device exhibits the highest

−
3

dB

bandwidth up to 442 MHz and a data transmission rate of 800 Mbit/s at a current density of

2.5

kA
/

cm

2

with on–off keying modulation, and holds great promise for future high-speed visible light communication applications.
Does a school-based intervention to engage parents change opportunity for handwashing with soap at home? Practical experience from the Mikono Safi trial in Northwestern Tanzania
Authors: Sedekia Yovitha , Kapiga Saidi , Mcharo Onike , Makata Kenneth , Torondel Belen , Dreibelbis Robert , Okello Elialilia 
Published: June 2022

Background
School-based de-worming is advocated as a strategy for reducing the burden of soil-transmitted helminth (STH) infections among children. However, re-infection tends to occur rapidly, suggesting that comprehensive water, sanitation, and hygiene (WASH) improvements may be needed to prevent this. We qualitatively assessed the influence of parental engagement activities on parents’ motivation to improve WASH infrastructure and hygiene practices at home in the context of a school-based de-worming programme.

Methodology
We conducted a longitudinal qualitative study nested within the Mikono Safi trial, designed to assess the effect of a WASH intervention on STH infection prevalence in children. Meetings were organized for parents/guardians at schools where they were given information about STH infection, the role of WASH in STH infection prevention, and actionable steps they could take at home. During the meetings, parents/guardians received information about their own child’s STH infection status. Twenty purposively selected households were visited and interviewed 3 times over a period of about 8-months. We employed thematic analysis; findings are reported following the Capability-Opportunity-Motivation and Behaviour (COM-B) framework.

Principal findings
The engagement strategy improved parents’/guardians’ knowledge and skills about handwashing with soap and its benefits. Parents/guardians reported that the sessions had motivated them to improve WASH infrastructure at home. Of 20 households included in this study, 17 renovated or built new latrines and 18 installed handwashing facilities. However, only 8 households established and maintained handwashing stations with both soap and water at 8 months.

Conclusions
The engagement of parents/guardians in a school-based WASH education intervention as part of the Mikono Safi trial resulted in increased knowledge and motivation about handwashing and sanitation. This led to improvements in sanitation facilities and handwashing opportunities at home. However, long-term success in provision of water and soap was limited, indicating that sustained engagement may be required to encourage households to ensure these materials are consistently available at home.
A convenient online desalination tube coupled with mass spectrometry for the direct detection of iodinated contrast media in untreated human spent hemodialysates
Authors: Nabi Md. Mahamodun , Sakamoto Takumi , Mamun Md. Al , Islam Ariful , Waliullah A. S. M. , Aramaki Shuhei , Hasan Md. Mahmudul , Ema Shingo , Kato Akihiko , Takahashi Yutaka , Kahyo Tomoaki , Setou Mitsutoshi , Sato Tomohito 
Published: June 2022

Background
Mass spectrometry (MS) analysis using direct infusion of biological fluids is often problematic due to high salts/buffers. Iodinated contrast media (ICM) are frequently used for diagnostic imaging purposes, sometimes inducing acute kidney injury (AKI) in patients with reduced kidney function. Therefore, detection of ICM in spent hemodialysates is important for AKI patients who require urgent continuous hemodiafiltration (CHDF) because it allows noninvasive assessment of the patient’s treatment. In this study, we used a novel desalination tube before MS to inject the sample directly and detect ICM.

Methods
Firstly, spent hemodialysates of one patient were injected directly into the electrospray ionization (ESI) source equipped with a quadrupole time-of-flight mass spectrometer (Q-TOF MS) coupled to an online desalination tube for the detection of ICM and other metabolites. Thereafter, spent hemodialysates of two patients were injected directly into the ESI source equipped with a triple quadrupole mass spectrometer (TQ-MS) connected to that online desalination tube to confirm the detection of ICM.

Results
We detected iohexol (an ICM) from untreated spent hemodialysates of the patient-administered iohexol for computed tomography using Q-TOF MS. Using MRM profile analysis, we have confirmed the detection of ICM in the untreated spent hemodialysates of the patients administered for coronary angiography before starting CHDF. Using the desalination tube, we observed approximately 178 times higher signal intensity and 8 times improved signal-to-noise ratio for ioversol (an ICM) compared to data obtained without the desalination tube. This system was capable of tracking the changes of ioversol in spent hemodialysates of AKI patients by measuring spent hemodialysates.

Conclusion
The online desalination tube coupled with MS showed the capability of detecting iohexol and ioversol in spent hemodialysates without additional sample preparation or chromatographic separation. This approach also demonstrated the capacity to monitor the ioversol changes in patients’ spent hemodialysates.
Ex-military personnel’s experiences of loneliness and social isolation from discharge, through transition, to the present day
Authors: Guthrie-Gower Suzanne , Wilson-Menzfeld Gemma 
Published: June 2022

Objectives
This study aimed to examine the unique factors of loneliness and social isolation within the ex-military population from discharge, through transition, to the present day.

Design
A qualitative, Phenomenological approach was adopted.

Methods
In-depth semi-structured interviews were carried out with 11 participants who had all served in the British Armed Forces and represented all three military services (Royal Navy; Army; Royal Air Force). Reflexive Thematic Analysis was used to analyse the data.

Results
Three themes were generated—a sense of loss; difficulty in connecting in civilian life; and seeking out familiarity. The findings of this study were examined through the lenses of the Social Needs Approach and the Cognitive Discrepancy Model.

Conclusions
Individuals developed close bonds in the military through meaningful and prolonged contact, reducing feelings of loneliness and social isolation during their time in service. The sense of belonging was key to social connection, but transition out of the military severed existing relationships, and a lack of belonging hindered the development of relationships within the civilian community. This study has implications for service provision relating to ex-military personnel and future service leavers.
Refusing the God Trick: Engaging Black Women’s Knowledge
Authors: Harrison Faye 
Published: June 2022

Drawing on African diasporic, feminist, and decolonial streams of thought, this essay addresses gendered and racialized biases, gaps, and silences that depreciate Black women’s epistemological agency. The essay examines the significance of a proliferation of recent publications, including translations, that are bringing the intellectual contributions of Black women in the Americas to new audiences. This growing trend, which resonates with the objectives of #CiteBlackWomen, forms an integral part of a more comprehensive project seeking to reconstitute knowledge under conditions that break away from the prevailing cognitive empire. The Western cultural narratives, myths, and sleights of hand buttressing this regime inflict an epistemological violence that harms Black women.
Existence of normalized solutions for the coupled elliptic system with quadratic nonlinearity
Authors: Wang Jun , Wang Xuan , Wei Song 
Published: June 2022

Abstract
In the present paper, we study the existence of the normalized solutions for the following coupled elliptic system with quadratic nonlinearity

−
Δ
u
−

λ

1

u
=

μ

1

∣
u
∣
u
+
β
u
v

in

R

N

,

−
Δ
v
−

λ

2

v
=

μ

2

∣
v
∣
v
+

β

2

u

2

in

R

N

,

\left\{\begin{array}{ll}-\Delta u-{\lambda }_{1}u={\mu }_{1}| u| u+\beta uv\hspace{1.0em}& \hspace{0.1em}\text{in}\hspace{0.1em}\hspace{0.33em}{{\mathbb{R}}}^{N},\\ -\Delta v-{\lambda }_{2}v={\mu }_{2}| v| v+\frac{\beta }{2}{u}^{2}\hspace{1.0em}& \hspace{0.1em}\text{in}\hspace{0.1em}\hspace{0.33em}{{\mathbb{R}}}^{N},\end{array}\right.

where

u
,
v

u,v

satisfying the additional condition

∫

R

N

u

2

d
x
=

a

1

,

∫

R

N

v

2

d
x
=

a

2

.

\mathop{\int }\limits_{{{\mathbb{R}}}^{N}}{u}^{2}{\rm{d}}x={a}_{1},\hspace{1em}\mathop{\int }\limits_{{{\mathbb{R}}}^{N}}{v}^{2}{\rm{d}}x={a}_{2}.

On the one hand, we prove the existence of minimizer for the system with

L

2

{L}^{2}

-subcritical growth (

N
≤
3

N\le 3

). On the other hand, we prove the existence results for different ranges of the coupling parameter

β
>
0

\beta \gt 0

with

L

2

{L}^{2}

-supercritical growth (

N
=
5

N=5

). Our argument is based on the rearrangement techniques and the minimax construction.
Automatic sleep scoring with LSTM networks: impact of time granularity and input signals
Authors: Tăuțan Alexandra-Maria , Rossi Alessandro C. , Ionescu Bogdan 
Published: June 2022

Abstract
Supervised automatic sleep scoring algorithms are usually trained using sleep stage labels manually annotated on 30 s epochs of PSG data. In this study, we investigate the impact of using shorter epochs with various PSG input signals for training and testing a Long Short Term Memory (LSTM) neural network. An LSTM model is evaluated on the provided 30 s epoch sleep stage labels from a publicly available dataset, as well as on 10 s subdivisions. Additionally, three independent scorers re-labeled a subset of the dataset on shorter time windows. The automatic sleep scoring experiments were repeated on the re-annotated subset.The highest performance is achieved on features extracted from 30 s epochs of a single channel frontal EEG. The resulting accuracy, precision and recall were of 92.22%, 67.58% and 66.00% respectively. When using a shorter epoch as input, the performance decreased by approximately 20%. Re-annotating a subset of the dataset on shorter time epochs did not improve the results and further altered the sleep stage detection performance. Our results show that our feature-based LSTM classification algorithm performs better on 30 s PSG epochs when compared to 10 s epochs used as input. Future work could be oriented to determining whether varying the epoch size improves classification outcomes for different types of classification algorithms.
Predictors of abdominal pain severity in patients with constipation-prevalent irritable bowel syndrome
Authors: Rurgo Sara , Vaino Viviana , Andreozzi Marta , Pagliaro Marta , Senneca Piera , Di Giorgio Gianmarco , Efficie Eleonora , Sarnelli Giovanni , Pesce Marcella 
Published: June 2022

Abstract

Background
Symptoms of irritable bowel syndrome (IBS) have been associated to altered colonic motility and sensation. Smoking affects pain perception and is a risk factor in the development of post-infectious IBS, but its effect on abdominal pain and colonic transit remains to be elucidated in IBS.

Methods
Forty patients with IBS-C and 28 with IBS-M were selected based on Rome IV criteria. Colonic transit time was studied and smoking habit was recorded. Presence of mild or severe abdominal pain and the prevalent pain characteristics (diffuse or localized, chronic or acute, with cramps or gradually distending) were recorded. Data were analyzed by univariate and stepwise multiple logistic regression analysis to verify the risk association between pain and all other variables.

Results
IBS-C patients had a longer transit time in the right colon and scored more chronic pain than IBS-M patients. When severity of abdominal pain was used as discriminating factor, a significant number of subjects reporting severe pain were males and smokers (16/30 vs. 4/38 and 20/30 vs. 4/38, both ƿ<0.001). Multivariate analysis confirmed that smoking was an independent factor associated with severe abdominal pain (OR 14.3, CI 2–99, p=0.007). Smoking was not associated with colonic transit times and colonic transit was not associated with IBS symptoms’ severity (both ƿ=N.S.)

Conclusions
Smoking was the only factor independently associated with severe abdominal pain. As smoking does not seem to affect colonic transit time, we suggest that smoking may influence visceral perception and symptoms severity in IBS patients.
Primary hyperparathyroidism, a machine learning approach to identify multiglandular disease in patients with a single adenoma found at preoperative Sestamibi-SPECT/CT
Authors: Sandqvist Patricia , Sundin Anders , Nilsson Inga-Lena , Grybäck Per , Sanchez-Crespo Alejandro 
Published: June 2022

Abstract

Objective
Successful preoperative image localisation of all parathyroid adenomas (PTA) in patients with primary hyperparathyroidism (pHPT) and multiglandular disease (MGD) remains challenging. We investigate whether a machine learning classifier (MLC) could predict the presence of overlooked PTA at preoperative localisation with 99mTc-Sestamibi-SPECT/CT in MGD patients.

Design
This study is a retrospective study from a single tertiary referral hospital initially including 349 patients with biochemically confirmed pHPT and cured after surgical parathyroidectomy.

Methods
A classification ensemble of decision trees with Bayesian hyperparameter optimisation and five-fold cross-validation was trained with six predictor variables: the preoperative plasma concentrations of parathyroid hormone, total calcium and thyroid-stimulating hormone, the serum concentration of ionised calcium, the 24-h urine calcium and the histopathological weight of the localised PTA at imaging. Two response classes were defined: patients with single-gland disease (SGD) correctly localised at imaging and MGD patients in whom only one PTA was localised on imaging. The data set was split into 70% for training and 30% for testing. The MLC was also tested on a subset of the original data based on CT image-derived PTA weights.

Results
The MLC achieved an overall accuracy at validation of 90% with an area under the cross-validation receiver operating characteristic curve of 0.9. On test data, the MLC reached a 72% true-positive prediction rate for MGD patients and a misclassification rate of 6% for SGD patients. Similar results were obtained in the testing set with image-derived PTA weight.

Conclusions
Artificial intelligence can aid in identifying patients with MGD for whom 99mTc-Sestamibi-SPECT/CT failed to visualise all PTAs.
A FOTOGRAFIA COMO INSTRUMENTO DE PERCEPÇÃO DO COTIDIANO DO AUTISTA ATRAVÉS DO TRABALHO DE TIMOTHY ARCHIBALD
Authors: Gomes Coimbra Ana Paula , Roese Aline Macke , Da Costa Agni Devi , Lima Paula Garcia 
Published: June 2022

O presente trabalho tem como objetivo investigar o uso da fotografia como modo de expressão, analisando a obra Echolilia do artista Timothy Archibald, através da qual fotografa seu filho autista e, em paralelo, representa as manifestações sensíveis do seu dia a dia. Neste sentido, buscamos compreender sobre a capacidade de sensibilização, trazendo para a discussão a observação de um material que contribua na conscientização e assimilação da realidade, das dificuldades, e das alegrias rotineiras de uma pessoa com TEA (Transtorno do Espectro Autista), tendo como base teórica Philippe Dubois, por meio do seu modelo análise em que trata dos modos de representação do real, entre outros autores.
Palavras-chave: Fotografia. Autismo. Timothy Archibald.
A Triplex Nested PCR for Diagnosis of Plasmodium, Babesia and Toxoplasma in Blood to Promote Safety of Blood Transfusion Samples
Authors: Eskandarian Abbasali 
Published: June 2022

Background: The risk of transmission of some infectious agents has always been an important life-threatening side effect of blood transfusion. The aim of this study was to develop a triplex nested PCR (tnPCR) to assess the presence of protozoan parasites Plasmodium, Toxoplasma and Babesia in blood samples concurrently. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of developed tnPCR method compared to gold standard methods were determined for all three parasite genera.
Methods: After selecting the genus level specific primers and setting up of tnPCR, blood samples were collected partially from Isfahan Blood Transfusion Organization (IBTO). Some different samples from human and animal were tested by this method in comparison with the gold standard methods (microscopic method for Plasmodium, Babesia and ELISA for Toxoplasma) in 2021.
Results: This tnPCR works well and the sensitivity, specificity, PPV, NPV and accuracy, of this molecular method were all 100% for Plasmodium spp., 93.33%, 99.16%, 93.33%, 99.16% and 99.25% for Babesia spp. and 100%,98.5%, 85.72%, 98.5% and 100% for Toxoplasma gondii respectively compared to standard methods. In average there were 100%, 99.22%, 95.24%, 99.5% and 99.75% contingency for all three parasites (α<0.05). The designed and provided method can detect one, two, or all three potentially dangerous pathogens simultaneously in one tube and one-step, in biological specimens as well as blood.
Conclusion: The developed tnPCR worked well. It could be recommended for facilitating test, saving time, reducing the expense and cross contamination, subsequently the promotion of blood transfusion safety.
The Impact of Natural Disasters on Income Inequality in Indonesia
Authors: Brata Aloysius Gunadi 
Published: June 2022

Introduction: The purpose of this study is to investigate the relationship between natural disasters and income inequality in Indonesia, a developing country with a high risk of natural hazards and high population densities in disaster-prone regions.
Methods: This paper used cross-province panel data during the period between 2010 and 2016. Natural disasters data were obtained from Indonesia National Agency for Disaster Management (BNPB), while Gini index data as an indicator of income inequality were obtained from Indonesia Central Bureau of Statistics (BPS). To estimate the impact of natural disasters on income inequality, this paper used a fixed effect regression model.
Results: It was found that the lagged variable of natural disasters positively affected the Gini index. The coefficient of this variable was 0.0093 at a significance level of 5%. It indicated that natural disasters worsen income inequality. This study also showed that natural disasters that negatively affected the Gini index were hydrological disasters in year t (between -0.0179 and -0.0199 at a significance level of 0.1%). Meanwhile, meteorological disasters tended to increase income inequality in the subsequent years. The coefficients were 0.0282 and 0.0187, and were statistically significant at least 5%. In addition, meteorological disasters consistently affected income distribution in all Western Indonesia (Sumatra, Java, and Bali) and other islands. The coefficients were 0.0205 and 0.0510 at a significance level of 5% indicating that meteorological disasters tended to increase inequality in income distribution.
But these climatological disasters had a negative impact on income distribution in other islands in years t and t-1 (-0.0192 and -0.0680 at the significance level of 1% and 5%, respectively).
Conclusion: The findings of this study imply that designing policies to deal with inequality at the regional level should also concern the different influences of various natural disasters on income inequality.