bluuebunny/crossref_metadata_2025 huggingface dataset:
Characterization of Spanish River Carbonatite (SRC) for agricultural fertilizer
Authors: Valladares L. De Los Santos , Kooyip J. H. Jhoncon , Borja-Castro L. E. , Valerio-Cuadros M. I. , Valencia-Bedregal R. A. , Velazquez-Garcia J. J. , Aguilar C. Villanueva , Barnes C. H. W. , Dominguez A. G. Bustamante
Published: March 2022

Carbonatite is an igneous rock that is composed mainly of carbonate minerals and silicates. It is recently applied as fertilizer due to its high content of calcite and dolomite. This study presents a physical and chemical characterization of the Spanish River Carbonatite (SRC) and its application as fertilizer is tested. The chemical composition obtained by X-ray fluorescence and Energy Dispersive X-ray analyses indicates that Ca, Fe and Si are the main contained elements. Calcite and SiO2 are the principal mineralogical phases as detected by X-ray diffraction. Fourier transform infrared spectroscopy confirms the presence of calcite, silicates and also organic material and water. It also suggests the presence of vermiculite. Thermal analysis reveals only a one-step reaction that corresponds to the decomposition of calcite. Mössbauer spectroscopy performed at room temperature do not show magnetic order between the iron moments instead it shows Fe2+ and Fe3+ doublets in M1 and M2 octahedral sites belonging to vermiculite. At 50 K, we observe that the isomer shift increases their values due to the second order Doppler shift. SQUID magnetometry measurements reveal that most of the sample contains paramagnetic domains assigned to the silicates and calcite components. However, under low applied fields, a tiny signal for Verwey transition appears at 124 K (suggesting the presence of magnetite) although screened by the strong paramagnetic signal of the main components. The SRC has been tested as potential fertilizer on sweet cucumber (Solanum muricatum) which responded positively to the application to carbonatite as an amendment, expressing itself in high foliar biomass.
Between Charity and Protest. The Politicisation of Refugee Support Volunteers
Authors: Monforte Pierre , Maestri Gaja
Published: March 2022

This article examines how refugee support volunteers based in Britain and in France negotiate the boundaries between charity (or humanitarian) action and social activism since the 2015 ‘refugee crisis’. Scholarly literature has often separated charity and humanitarian action from social activism, as the former is seen as lacking the goal of social and political change that characterises the latter. The set of 147 in-depth interviews we conducted in different British and French refugee support charities and networks reveals the complex relationship between charity and protest. Through the focus on the moral dilemmas that participants encounter throughout their experience in the field, this article aims to highlight the ambivalences of their engagement as well as its transformative potential. Our analysis shows how participants develop new cognitive frames, emotions and interpersonal relations that transform their engagement and lead them to link charity/humanitarian action with broader objectives of social and political change. More generally, our analysis highlights the processes through which participants construct political narratives that aim to challenge state-driven policies and discourses of “migration management”. This article aims to contribute to the reflection about the informal character of the forms of participation analysed in this special issue, through the focus on the moral dilemmas and the “quiet” and “unexceptional” politics of volunteering.
Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery
Authors: Rodríguez-Pérez Raquel , Bajorath Jürgen
Published: March 2022

The support vector machine (SVM) algorithm is one of the most widely used machine learning (ML) methods for predicting active compounds and molecular properties. In chemoinformatics and drug discovery, SVM has been a state-of-the-art ML approach for more than a decade. A unique attribute of SVM is that it operates in feature spaces of increasing dimensionality. Hence, SVM conceptually departs from the paradigm of low dimensionality that applies to many other methods for chemical space navigation. The SVM approach is applicable to compound classification, and ranking, multi-class predictions, and –in algorithmically modified form– regression modeling. In the emerging era of deep learning (DL), SVM retains its relevance as one of the premier ML methods in chemoinformatics, for reasons discussed herein. We describe the SVM methodology including strengths and weaknesses and discuss selected applications that have contributed to the evolution of SVM as a premier approach for compound classification, property predictions, and virtual compound screening.
TCRαβ-Depleted Haploidentical Grafts Are a Safe Alternative to HLA-Matched Unrelated Donor Stem Cell Transplants for Infants with Severe Combined Immunodeficiency
Authors: Tsilifis Christo , Lum Su Han , Nademi Zohreh , Hambleton Sophie , Flood Terence J. , Williams Eleri J. , Owens Stephen , Abinun Mario , Cant Andrew J. , Slatter Mary A. , Gennery Andrew R.
Published: March 2022

Hematopoietic stem cell transplantation and gene therapy are the only curative therapies for severe combined immunodeficiency (SCID). In patients lacking a matched donor, TCRαβ/CD19-depleted haploidentical family donor transplant (TCRαβ-HaploSCT) is a promising strategy. Conditioned transplant in SCID correlates to better myeloid chimerism and reduced immunoglobulin dependency. We studied transplant outcome in SCID infants according to donor type, specifically TCRαβ-HaploSCT, and conditioning, through retrospective cohort analysis of 52 consecutive infants with SCID transplanted between 2013 and 2020. Median age at transplant was 5.1 months (range, 0.8–16.6). Donors were TCRαβ-HaploSCT (n = 16, 31.4%), matched family donor (MFD, n = 15, 29.4%), matched unrelated donor (MUD, n = 9, 17.6%), and matched unrelated cord blood (CB, n = 11, 21.6%). Forty-one (80%) received fludarabine/treosulfan-based conditioning, 3 (6%) had alemtuzumab only, and 7 (14%) received unconditioned infusions. For conditioned transplants (n = 41), 3-year overall survival was 91% (95% confidence interval, 52–99%) for TCRαβ-HaploSCT, 80% (41–98%) for MFD, 87% (36–98%) for MUD, and 89% (43–98%) for CB (p = 0.89). Cumulative incidence of grade II–IV acute graft-versus-host disease was 11% (2–79%) after TCRαβ-HaploSCT, 0 after MFD, 29% (7–100%) after MUD, and 11% (2–79%) after CB (p = 0.10). 9/10 patients who received alemtuzumab-only or unconditioned transplants survived. Myeloid chimerism was higher following conditioning (median 47%, range 0–100%) versus unconditioned transplant (median 3%, 0–9%) (p < 0.001), as was the proportion of immunoglobulin-free long-term survivors (n = 29/36, 81% vs n = 4/9, 54%) (p < 0.001). TCRαβ-HaploSCT has comparable outcome to MUD and is a promising alternative donor strategy for infants with SCID lacking MFD. This study confirms that conditioned transplant offers better myeloid chimerism and immunoglobulin freedom in long-term survivors.
Nostalgia, Gratitude, or Optimism: The Impact of a Two-Week Intervention on Well-Being During COVID-19
Authors: Dennis Amelia , Ogden Jane
Published: March 2022

Research indicates that brief 2-min positive psychology interventions (PPIs) increase well-being during COVID-19 lockdowns. The present study extended this to assess the effectiveness over two-weeks. Participants (n = 150) were randomly allocated to one of three PPIs; nostalgia, gratitude, best possible self (BPS), or control. The interventions were slightly adapted for the lockdown and were completed three times, every seven days over two-weeks. Well-being measures were completed immediately after the first intervention (T1), after the next two interventions (T2−T3) and at one-week follow-up (T4) (but no baseline measure of well-being was taken). At T1, participants in the nostalgia, gratitude, and BPS intervention had higher self-esteem than those in the control intervention. At T1 and T2, participants in the gratitude and BPS intervention reported higher social connectedness than participants in the nostalgia and control intervention. Then at follow-up (T4), participants in the nostalgia, gratitude, and BPS intervention had lower fear of COVID-19 than those in the control intervention. Overall, the results show the benefits of nostalgia, gratitude and optimism, compared to the control, during lockdown.
Patterns of Alcohol Use Among Italian Young Adults Before and During a COVID-19 Lockdown: A Latent Class Analysis Study
Authors: Aresi Giovanni , Sorgente Angela , Cleveland Michael J. , Marta Elena
Published: March 2022

Two not mutually exclusive theories explain the effects of the COVID-19 pandemic on alcohol use. The Availability hypothesis contends that reduced opportunities to drink due to the closure of outlets and consumption sites should lead to decreases in alcohol use, whereas the Stress and Coping hypothesis argues that those exposed to stressful situations may increase drinking. The primary aim of this study was to examine changes—separately by gender—in the prevalence of drinking patterns among Italian young adults (18–34 years) before and during a COVID-19 lockdown. Study design was a repeated cross-sectional study, whereby data collected in 2015 and 2020 from nationally representative samples were analyzed. Latent class analysis identified five, fully invariant for women and partially invariant for men, drinking pattern classes among both cohorts: current non-drinkers (CND), weekend risky (WRD) and weekend non-risky drinkers (WnRD), daily non-risky (DnRD) and daily risky drinkers (DRD). In support of the Availability hypothesis, increases in abstaining and moderate drinking women and men were observed from 2015 to 2020. Concomitantly, among men only there were also increases in the prevalence of patterns characterized by risky drinking, coping drinking motives and related harm (Stress and Coping hypothesis). The pandemic and the three-tier lockdown imposed by the Italian government likely reduced overall alcohol use in the general population who drink moderately. However, there was a substantial increase in the prevalence of a small but significant group of men who drank daily and heavily to cope. Outreach and prevention efforts should target primarily this group, but also consider the opportunities that the exceptional circumstances of a quarantine offer to any individuals to reshape their lifestyle and health-related behaviors.
Environmental indicators combined with risk analysis to evaluate potential wildfire incidence on the Dadu Plateau in Taiwan
Authors: Lin Chao-Yuan , Shieh Pei-Ying , Wu Shao-Wei , Wang Po-Cheng , Chen Yung-Chau
Published: March 2022

Wildfire is a common disaster in the world, and it has a considerable impact on the safety of residents and ecological disturbance. Periodic wildfires are an urgent problem to be solved. This research uses big data from relevant departments to extract environmental indicators that affect wildfires, including satellite images, meteorological observations, and field surveys and establishes a risk model for the Spatio-temporal distribution of wildfires based on risk analysis. Previous studies using Differenced Normalized Burn Ratio (dNBR) to assess fire severity and distinguish wildfire ruins did not deal with the impact of atmospheric humidity on dNBR values. In this study, an adjustable fire threshold was developed to enable dNBR to improve the accuracy of identifying wildfire locations. Regarding the temporal distribution of wildfire risks, environmental vulnerability cannot specifically reflect the frequency of actual wildfires. If the hazard degree is introduced to calculate the wildfire risk, the coefficient of determination can be increased from 0.49 to 0.79. The verification of the village boundary zone depicts that the risk analysis can effectively show the temporal and spatial distribution of wildfire hotspots. On this basis, a village-level wildfire disaster prevention strategy can be formulated.
Dynamical analysis of the infection status in diverse communities due to COVID-19 using a modified SIR model
Authors: Cooper Ian , Mondal Argha , Antonopoulos Chris G. , Mishra Arindam
Published: March 2022

In this article, we model and study the spread of COVID-19 in Germany, Japan, India and highly impacted states in India, i.e., in Delhi, Maharashtra, West Bengal, Kerala and Karnataka. We consider recorded data published in Worldometers and COVID-19 India websites from April 2020 to July 2021, including periods of interest where these countries and states were hit severely by the pandemic. Our methodology is based on the classic susceptible–infected–removed (SIR) model and can track the evolution of infections in communities, i.e., in countries, states or groups of individuals, where we (a) allow for the susceptible and infected populations to be reset at times where surges, outbreaks or secondary waves appear in the recorded data sets, (b) consider the parameters in the SIR model that represent the effective transmission and recovery rates to be functions of time and (c) estimate the number of deaths by combining the model solutions with the recorded data sets to approximate them between consecutive surges, outbreaks or secondary waves, providing a more accurate estimate. We report on the status of the current infections in these countries and states, and the infections and deaths in India and Japan. Our model can adapt to the recorded data and can be used to explain them and importantly, to forecast the number of infected, recovered, removed and dead individuals, as well as it can estimate the effective infection and recovery rates as functions of time, assuming an outbreak occurs at a given time. The latter information can be used to forecast the future basic reproduction number and together with the forecast on the number of infected and dead individuals, our approach can further be used to suggest the implementation of intervention strategies and mitigation policies to keep at bay the number of infected and dead individuals. This, in conjunction with the implementation of vaccination programs worldwide, can help reduce significantly the impact of the spread around the world and improve the wellbeing of people.
Uniqueness of unconditional basis of infinite direct sums of quasi-Banach spaces
Authors: Albiac F. , Ansorena J. L.
Published: March 2022

This paper is devoted to providing a unifying approach to the study of the uniqueness of unconditional bases, up to equivalence and permutation, of infinite direct sums of quasi-Banach spaces. Our new approach to this type of problem permits to show that a wide class of vector-valued sequence spaces have a unique unconditional basis up to a permutation. In particular, solving a problem from Albiac and Leránoz (J Math Anal Appl 374(2):394–401, 2011. 10.1016/j.jmaa.2010.09.048) we show that if $$X$$
X
is quasi-Banach space with a strongly absolute unconditional basis then the infinite direct sum $$\ell _{1}(X)$$

ℓ
1

(
X
)

has a unique unconditional basis up to a permutation, even without knowing whether $$X$$
X
has a unique unconditional basis or not. Applications to the uniqueness of unconditional structure of infinite direct sums of non-locally convex Orlicz and Lorentz sequence spaces, among other classical spaces, are also obtained as a by-product of our work.
Exploring Parenting Profiles to Understand Who Benefits from the Incredible Years Parenting Program
Authors: Weeland Joyce , Leijten Patty , Orobio de Castro Bram , Menting Ankie , Overbeek Geertjan , Raaijmakers Maartje , Jongerling Joran , Matthys Walter
Published: March 2022

Behavioral parenting programs are a theory-driven and evidence-based approach for reducing disruptive child behavior. Although these programs are effective on average, they are not equally effective in all families. Decades of moderation research has yielded very few consistent moderators, and we therefore still have little knowledge of who benefits from these programs and little understanding why some families benefit more than others. This study applied a baseline target moderation model to a parenting program, by (1) identifying parenting profiles at baseline, (2) exploring their correlations with other family characteristics and their stability, and (3) assessing whether they moderate intervention effects on child behavior. Individual participant data from four Dutch studies on the Incredible Years (IY) parenting program were used (N = 785 caregiver–child dyads). Children (58.2% boys) were at risk of disruptive behavior problems and aged between 2 and 11 years of age (M = 5.85 years; SD = 1.59). Latent profile analyses indicated three distinct baseline parenting profiles, which we labeled as follows: Low Involvement (81.4%), High Involvement (8.4%), and Harsh Parenting (10.1%). The profiles caregivers were allocated to were associated with their education, minority status, being a single caregiver, and the severity of disruptive child behavior. We found neither evidence that baseline parenting profiles changed due to participation in IY nor evidence that the profiles predicted program effects on child behavior. Our findings do not support the baseline target moderation hypothesis but raise new questions on how parenting programs may work similarly or differently for different families.
On Measuring Segregation in a Multigroup Context: Standardized Versus Unstandardized Indices
Authors: del Río Coral , Alonso-Villar Olga
Published: March 2022

There has been little discussion about the consequences of using standardized, rather than unstandardized, segregation measures when comparing societies with different demographic compositions. This paper explores standardization in a multigroup setting through an analytical framework that offers a clear distinction between the measurement of overall and local segregation, embeds existing indices within this framework, and addresses gaps in previous research. The local approach developed here allows us to focus on the principle of transfers used in the measurement of overall segregation from a new angle and brings analytical support to the interpretation of the components of standardized overall measures as the segregation levels of the groups involved. This approach also helps clarify the debate around the measurement of school segregation since the distinction between local and overall measures, together with standardization, is key to understanding the different proposals that have been used in empirical studies. This research also gives formal support to empirical strategies that compare the distribution of a minority group with that of the remaining population since they can be viewed as standardized local segregation measures satisfying basic properties.
Heterogeneous gradient computing optimization for scalable deep neural networks
Authors: Moreno-Álvarez Sergio , Paoletti Mercedes E. , Rico-Gallego Juan A. , Haut Juan M.
Published: March 2022

Nowadays, data processing applications based on neural networks cope with the growth in the amount of data to be processed and with the increase in both the depth and complexity of the neural networks architectures, and hence in the number of parameters to be learned. High-performance computing platforms are provided with fast computing resources, including multi-core processors and graphical processing units, to manage such computational burden of deep neural network applications. A common optimization technique is to distribute the workload between the processes deployed on the resources of the platform. This approach is known as data-parallelism. Each process, known as replica, trains its own copy of the model on a disjoint data partition. Nevertheless, the heterogeneity of the computational resources composing the platform requires to unevenly distribute the workload between the replicas according to its computational capabilities, to optimize the overall execution performance. Since the amount of data to be processed is different in each replica, the influence of the gradients computed by the replicas in the global parameter updating should be different. This work proposes a modification of the gradient computation method that considers the different speeds of the replicas, and hence, its amount of data assigned. The experimental results have been conducted on heterogeneous high-performance computing platforms for a wide range of models and datasets, showing an improvement in the final accuracy with respect to current techniques, with a comparable performance.
Impact of poly-arginine peptides R18D and R18 on alteplase and tenecteplase thrombolysis in vitro, and neuroprotective stability to proteolysis
Authors: Meloni Bruno P. , Blacker David J. , Edwards Adam B. , Knuckey Neville W.
Published: March 2022

The poly-arginine peptides R18D and R18 represent novel potential neuroprotective treatments for acute ischaemic stroke. Here we examined whether R18D and R18 had any significant effects on the thrombolytic activity of alteplase (tPA) and tenecteplase (TNK) on clots formed from whole blood in an in vitro thrombolysis plate assay. R18D and R18 were examined at concentrations of 0.25, 0.5, 1, 2, 4, 8 and 16 µM during the 1-h thrombolytic assay. We also included the well-characterised neuroprotective NA-1 peptide as a control. R18D, R18 and NA-1 all reduced tPA or TNK percentage clot lysis by 0–9.35%, 0–3.44% and 0–4.8%, respectively. R18D, R18 and NA-1 had a modest and variable effect on the lag time, increasing the time to the commencement of thrombolysis by 0–9.9 min, 0–5.53 min and 0–7.16 min, respectively. Lastly, R18 and NA-1 appeared to increase the maximal activity of the thrombolysis reaction. In addition, the in vitro anti-excitotoxic neuroprotective efficacy of R18D and R18 was not affected by pre-incubation for 1–2 h or overnight with tPA or TNK, whereas only R18D retained high anti-excitotoxic neuroprotective efficacy when pre-incubated in a synthetic trypsin (TrypLE Express). The present in vitro findings suggest that neither R18D or R18 when co-administered with the thrombolytic inducing agents tPA or TNK are likely to have a significant impact when used clinically during clot thrombolysis and confirm the superior proteolytic stability of the R18D peptide.
In-depth characterisation of the urine metabolome in cats with and without urinary tract diseases
Authors: Kim Younjung , Xu Wei , Barrs Vanessa , Beatty Julia , Kenéz Ákos
Published: March 2022

Introduction

Our understanding of the urine metabolome and its association with urinary tract disease is limited in cats.

Objectives

We conducted a case–control study to characterise the feline urine metabolome, investigate its association with chronic kidney disease (CKD) and feline idiopathic cystitis (FIC), and assess its compositional relationship with the urine microbiome.

Methods

The urine metabolome of 45 owned cats, including 23 controls, 16 CKD, and 6 FIC cases, was characterised by an untargeted metabolomics approach using high-performance chemical isotope labelling liquid chromatography–mass spectrometry.

Results

We detected 9411 unique compounds in the urine of controls and cases and identified 1037 metabolites with high confidence. Amino acids, peptides, and analogues dominated these metabolites (32.2%), followed by carbonyl compounds (7.1%) and carbohydrates (6.5%). Seven controls from one household showed a significant level of metabolome clustering, with a distinct separation from controls from other households (p value < 0.001). Owner surveys revealed that this cluster of cats was fed dry food only, whereas all but one other control had wet food in their diet. Accordingly, the diet type was significantly associated with the urine metabolome composition in our multivariate model (p value = 0.001). Metabolites significantly altered in this cluster included taurine, an essential amino acid in cats. Urine metabolome profiles were not significantly different in CKD and FIC cases compared with controls, and no significant compositional relationship was detected between the urine metabolome and microbiome.

Conclusion

Our study reveals in-depth diversity of the feline urine metabolome composition, and suggests that it can vary considerably depending on environmental factors.
Guillotine cutting is asymptotically optimal for packing consecutive squares
Authors: Balogh János , Dósa György , Hvattum Lars Magnus , Olaj Tomas , Tuza Zsolt
Published: March 2022

More than half a century ago Martin Gardner popularized a question leading to the benchmark problem of determining the minimum side length of a square into which the squares of sizes $$1,2,\dots ,n$$

1
,
2
,
⋯
,
n

can be packed without overlap. Constructions are known for a certain range of n, and summing up the areas yields that a packing in a square of size smaller than $$N:= \!\sqrt{n(n+1)(2n+1)/6)} $$

N
:
=

n
(
n
+
1
)
(
2
n
+
1
)
/
6
)

is not possible. Here we prove that an asymptotically minimal packing exists in a square of size $$N+cn+O(\!\sqrt{n})$$

N
+
c
n
+
O
(

n

)

with $$c<1$$

c
<
1

, and such a packing is achievable with guillotine-cuts. An improved construction is also given for the case where the constraint of guillotine cutting is dropped.
Fibula response to disuse: a longitudinal analysis in people with spinal cord injury
Authors: Abdelrahman Shima , Purcell Mariel , Rantalainen Timo , Coupaud Sylvie , Ireland Alex
Published: March 2022

Summary

Fibular response to disuse has been described in cross-sectional but not longitudinal studies. This study assessed fibular bone changes in people with spinal cord injury. Fibular bone loss was less than in the tibia and was not correlated together. This might explain low fibular fracture incidents in these patients.

Purpose

Cross-sectional studies suggest that the fibula responds differently to loading and disuse compared to the tibia. Whilst tibial bone changes following spinal cord injury (SCI) have been established in longitudinal studies, fibular changes remain unexplored.

Methods

Fibular and tibial bone parameters were assessed in 13 individuals with SCI (aged 16–76 years). Peripheral quantitative computed tomography scans were acquired at 4%, 38% and 66% distal–proximal tibia length at 5 weeks and 12 months post-injury. Changes in 4% site total bone mineral content (BMC), total cross-sectional area (CSA) and bone mineral density (BMD), and 38% and 66% sites total BMC, total CSA, cortical BMD and cortical CSA were assessed using paired T-tests. Relationships between bone loss in the two bones at equivalent sites were assessed using paired T-tests and correlation.

Results

At the 4% site, fibular total BMC and BMD losses were less than tibial losses (− 6.9 ± 5.1% and − 6.6 ± 6.0% vs − 14.8 ± 12.4% and − 14.4 ± 12.4%, p = 0.02 and p = 0.03, respectively). Similarly, at the 66% site, fibular BMC losses were less than those in the tibia (− 2.0 ± 2.6% vs − 4.3 ± 3.6%, p = 0.03), but there was no difference at 38% (− 1.8 ± 3.5% vs − 3.8 ± 2.1%, p = 0.1). No correlation was observed for BMC changes between the two bones (all p > 0.25).

Conclusion

These results support cross-sectional evidence of smaller disuse-related bone loss in the fibula compared to the tibia. These results may in part explain lower incidence of fibula fractures in individuals with chronic SCI. The lack of association between losses in the two bones might point to different underlying mechanisms.
Antrum Preservation Versus Antrum Resection in Laparoscopic Sleeve Gastrectomy With Effects on Gastric Emptying, Body Mass Index, and Type II Diabetes Remission in Diabetic Patients With Body Mass Index 30–40 kg/m2: a Randomized Controlled Study
Authors: Eskandaros Moheb S.
Published: March 2022

Background

Laparoscopic sleeve gastrectomy (LSG) is a widely performed procedure nowadays. There is a controversy on whether antrum resection (AR) or antrum preservation (AP) should be done and if this has an effect on BMI, gastric emptying, and associated medical conditions such as diabetes mellitus (DM).

Study Design

This randomized controlled trial included 56 patients in the AP group and 53 patients in the AR group with BMI 30–40 kg/m2. Weight, BMI, fasting and postprandial blood glucose (FBS and PPBS), HbA1C, oral hypoglycemic drug use, and % gastric emptying by gastric scintigraphy at 30, 60, 90, and 120 min were recorded preoperatively and postoperatively at 3, 6, and 12 months. Postoperative % of total weight loss (TWL) and symptoms of de novo GERD were observed at 3, 6, and 12 months.

Results

The AR group had significantly lower BMI and HbA1C and higher %TWL than the AP group. There was a significant difference between the two groups regarding % of gastric emptying with the AP group showing higher values at 30, 60, 90, and 120 min. There were no significant differences regarding FBS, PPBS, and oral hypoglycemic use. The AR group had more incidence of GERD symptoms postoperatively yet with no significant difference.

Conclusion

LSG with antrum resection (2 cm from the pylorus) had significantly less postoperative BMI, higher %TWL, better control of type II DM, and more retention of gastric contents in patients with BMI 30–40 kg/m2in comparison with LSG with antral preservation with non-significant increase in incidence of GERD symptoms.

Graphical abstract
The Relationship Between Percentage Weight Loss and World Health Organization-Five Wellbeing Index (WHO-5) in Patients Having Bariatric Surgery
Authors: Abdul Wahab Roshaida , Al-Ruwaily Heshma , Coleman Therese , Heneghan Helen , Neff Karl , le Roux Carel W. , Fallon Finian
Published: March 2022

Purpose

The association between bariatric surgery outcome and depression remains controversial. Many patients with depression are not offered bariatric surgery due to concerns that they may have suboptimal outcomes. The aim of this study was to investigate the relationship between baseline World Health Organization-Five Wellbeing Index (WHO-5) and percentage total weight loss (%TWL) in patients after bariatric surgery.

Materials and Methods

All patients were routinely reviewed by the psychologist and screened with WHO-5. The consultation occurred 3.5 ± 1.6 months before bariatric surgery. Body weight was recorded before and 1 year after surgery. A total of 45 out of 71 (63.3%) patients with complete WHO-5 data were included in the study. Data analysis was carried out with IBM SPSS Statistics (version 27) to determine the correlation between baseline WHO-5 and %TWL in patients having bariatric surgery.

Results

Overall, 11 males and 34 females were involved with mean age of 47.5 ± 11.5 and BMI of 46.2 ± 5.5 kg/m2. The %TWL between pre- and 1-year post-surgery was 30.0 ± 8.3% and the WHO-5 Wellbeing Index mean score was 56.5 ± 16.8. We found no correlation between %TWL and the WHO-5 Wellbeing Index (r = 0.032, p = 0.83).

Conclusion

There was no correlation between the baseline WHO-5 Wellbeing Index and %TWL 1-year post-bariatric surgery. Patients with low mood or depression need to be assessed and offered appropriate treatment but should not be excluded from bariatric surgery only based on their mood.

Graphical Abstract
Genetics of Type 2 Diabetes: Implications from Large-Scale Studies
Authors: DeForest Natalie , Majithia Amit R.
Published: March 2022

Purpose of Review

Type 2 diabetes (T2D) is a multifactorial, heritable syndrome characterized by dysregulated glucose homeostasis that results from impaired insulin secretion and insulin resistance. Genetic association studies have successfully identified hundreds of T2D risk loci implicating many genes in disease pathogenesis. In this review, we provide an overview of the recent T2D genetic studies from the past 3 years with particular focus on the effects of sample size and ancestral diversity on genetic discovery as well as discuss recent work on the use and limitations of genetic risk scores (GRS) for T2D risk prediction.

Recent Findings

Recent large-scale, multi-ancestry genetic studies of T2D have identified over 500 novel risk loci. The genetic variants (i.e., single nucleotide polymorphisms (SNPs)) marking these novel loci in general have smaller effect sizes than previously discovered loci. Inclusion of samples from diverse ancestral backgrounds shows a few ancestry specific loci marked by common variants, but overall, the majority of loci discovered are common across ancestries. Inclusion of common variant GRS, even with hundreds of loci, does not substantially increase T2D risk prediction over standard clinical risk factors such as age and family history.

Common variant association studies of T2D have now identified over 700 T2D risk loci, half of which have been discovered in the past 3 years. These recent studies demonstrate that inclusion of ancestrally diverse samples can enhance locus discovery and improve accuracy of GRS for T2D risk prediction. GRS based on common variants, however, only minimally enhances risk prediction over standard clinical risk factors.
Options in the Treatment of Subacute Sclerosing Panencephalitis: Implications for Low Resource Areas
Authors: Samia Pauline , Oyieke Katherine , Tunje Dorcas , Udwadia-Hegde Anaita , Feemster Kristen , Oncel Ibrahim , Anlar Banu
Published: March 2022

Purpose of the review

Subacute sclerosing panencephalitis (SSPE) is a rare, slowly progressive, and frequently fatal neurodegenerative disorder caused by measles virus. The risk of SSPE remains significant globally, with fluctuating incidence noted in in tandem with measles vaccine uptake. This review aims to explore the current global status of SSPE, its treatment, and preventive measures.

Recent findings

An increase in measles cases have been reported in various parts of the world for different reasons related to the regional context of the outbreak. With reduction in measles vaccine doses since the onset of the COVID-19 pandemic, the future risk of SSPE can only accelerate. In recent years, subsequent cases of SSPE have been reported in the period following documented measles outbreaks in different settings. Concomitantly, there have been efforts to evaluate the efficacy of immunomodulatory, antiviral, and anti-seizure therapies that could ameliorate the devastating effects of this disease. This review elucidates on these approaches and their limitations, reasons for poor vaccine coverage in low- and middle-income countries, as well as the possible solutions to the prevention of measles and eventual avoidance of SSPE.

Prevention of measles virus infection with the resultant sequelae would be the most effective strategy for the management of SSPE. This approach would be particularly important in low resource setting that currently bears the double burden of widespread communicable diseases and malnutrition.
Cellular and Molecular Events Leading to Paraquat-Induced Apoptosis: Mechanistic Insights into Parkinson’s Disease Pathophysiology
Authors: See Wesley Zhi Chung , Naidu Rakesh , Tang Kim San
Published: March 2022

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the cardinal features of tremor, bradykinesia, rigidity, and postural instability, in addition to other non-motor symptoms. Pathologically, PD is attributed to the loss of dopaminergic neurons in the substantia nigra pars compacta, with the hallmark of the presence of intracellular protein aggregates of α-synuclein in the form of Lewy bodies. The pathogenesis of PD is still yet to be fully elucidated due to the multifactorial nature of the disease. However, a myriad of studies has indicated several intracellular events in triggering apoptotic neuronal cell death in PD. These include oxidative stress, mitochondria dysfunction, endoplasmic reticulum stress, alteration in dopamine catabolism, inactivation of tyrosine hydroxylase, and decreased levels of neurotrophic factors. Laboratory studies using the herbicide paraquat in different in vitro and in vivo models have demonstrated the induction of many PD pathological features. The selective neurotoxicity induced by paraquat has brought a new dawn in our perspectives about the pathophysiology of PD. Epidemiological data have suggested an increased risk of developing PD in the human population exposed to paraquat for a long term. This model has opened new frontiers in the quest for new therapeutic targets for PD. The purpose of this review is to synthesize the relationship between the exposure of paraquat and the pathogenesis of PD in in vitro and in vivo models.
Comparison between PSM and IBESS approaches for the fatigue life estimation of weldments
Authors: Scacco Federico , Zerbst Uwe , Meneghetti Giovanni , Madia Mauro
Published: March 2022

In the framework of the fatigue assessment of welded components, several methods are available in design standards such as the nominal stress, hot-spot stress, notch stress and linear elastic fracture mechanics approaches. The present paper aims at comparing two advanced local approaches for the fatigue strength assessment of different welded joints made of steel. The first one is IBESS which is based on short crack fracture mechanics. The second one is the PSM which instead involves the strain energy density approach. Both methods will be briefly presented, and the fatigue life prediction results discussed. The results obtained for the joint geometries considered in this work show advantages and drawbacks of the approaches, which are thoroughly analysed as well.
Containing Hunger, Contesting Injustice? Exploring the Transnational Growth of Foodbanking- and Counter-responses- Before and During the COVID-19 Pandemic
Authors: Spring Charlotte , Garthwaite Kayleigh , Fisher Andy
Published: March 2022

COVID-19 caused levels of household food insecurity to spike, but the precarity of so many people in wealthy countries is an outgrowth of decades of eroding public provisions and labour protections that once protected people from hunger, setting the stage for the virus’ unevenly-distributed harms. The prominence of corporate-sponsored foodbanking as a containment response to pandemic-aggravated food insecurity follows decades of replacing rights with charity. We review structural drivers of charity’s growth to prominence as a hunger solution in North America, and of its spread to countries including the UK. By highlighting pre-pandemic pressures shaping foodbanking, including charities’ efforts to retool themselves as health providers, we ask whether anti-hunger efforts during the pandemic serve to contain ongoing socioeconomic crises and the unjust living conditions they cause, or contest them through transformative pathways to a just food system. We suggest that pandemic-driven philanthropic and state funding flows have bolstered foodbanking and the food system logics that support it. By contextualising the complex and variegated politics of foodbanking in broader movements, from community food security to food sovereignty, we reframe simplistic narratives of charity and highlight the need for justice-oriented structural changes in wealth redistribution and food system organisation if we are to prevent the kinds of emergency-within-emergency that we witnessed as COVID-19 revealed the proximity of many to hunger.
Daylight conditions in housing–Its role and priority in Danish building regulations
Authors: Mathiasen Nanet , Frandsen Anne Kathrine , Grønlund Louise
Published: March 2022

In a Danish context, the Building Regulation is the legislation for our built environment. Therefore, the focus of this survey is to investigate how Danish legislation treats questions on daylight in relation to the build environment. Furthermore, it looks at whether the specific ways of looking at daylight influence the general understanding of light and the processing of daylight design in the built environment. When acknowledging both its multifaceted character and the impact daylight has, as well as the inherent implications regulation can have on the practices that apply to them, the question remains as to how Danish building regulations treat questions of daylight in relation to the built environment. Furthermore, what is the implication of understanding these ways of looking at daylight? This survey is a profound study of 14 Danish building regulations, from the first historical regulations in 1856 up to the latest regulation of 2018. To investigate the role of daylight and its priority in Danish building regulations, daylight is defined through three theoretical topics: vision, energy, and health. This survey focuses on daylight in relation to private housing. Reviewing the 14 Danish Building Regulations illustrates how the understanding of daylight in relation to the built environment has changed. The different requirements on daylight design varies through time and reflects the political agenda of each specific historical period. This underlines how daylight is subject to changing agendas; however, it is rarely an agenda on its own.
A Clustering Method with Historical Data to Support Large-Scale Consensus-Reaching Process in Group Decision-Making
Authors: Xiong Kai , Dong Yucheng , Zhao Sihai
Published: March 2022

With the rapid development of information technology and social network, the large-scale group decision-making (LSGDM) has become more and more popular due to the fact that large numbers of stakeholders are involved in different decision problems. To support the large-scale consensus-reaching process (LCRP), this paper proposes a LCRP framework based on a clustering method with the historical preference data of all decision makers (DMs). There are three parts in the proposed framework: the clustering process, the consensus process and the selection process. In the clustering process, we make use of an extended k-means clustering technique to divide the DMs into several clusters based on their historical preferences data. Next, the consensus process consists of the consensus measure and the feedback adjustment. The consensus measure aims to calculate the consensus level among DMs based on the obtained clusters. If the consensus level fails to reach the pre-defined consensus threshold, it is necessary to make the feedback adjustment to modify DMs' preferences. At last, the selection process is carried out to obtain a collective ranking of all alternatives. An illustrative example and detailed simulation experiments are demonstrated to show the validity of the proposed framework against the traditional LCRP models which just consider the preference information of DMs at only one stage for clustering.
Heterogeneous Patterns of Aged Organic Carbon Export Driven by Hydrologic Flow Paths, Soil Texture, Fire, and Thaw in Discontinuous Permafrost Headwaters
Authors: Koch Joshua C. , Bogard Matthew J. , Butman David E. , Finlay Kerri , Ebel Brian , James Jason , Johnston Sarah Ellen , Jorgenson M. Torre , Pastick Neal J. , Spencer Robert G. M. , Striegl Robert , Walvoord Michelle , Wickland Kimberly P.
Published: March 2022

Climate change is thawing and potentially mobilizing vast quantities of organic carbon (OC) previously stored for millennia in permafrost soils of northern circumpolar landscapes. Climate‐driven increases in fire and thermokarst may play a key role in OC mobilization by thawing permafrost and promoting transport of OC. Yet, the extent of OC mobilization and mechanisms controlling terrestrial‐aquatic transfer are unclear. We demonstrate that hydrologic transport of soil dissolved OC (DOC) from the active layer and thawing permafrost to headwater streams is extremely heterogeneous and regulated by the interactions of soils, seasonal thaw, fire, and thermokarst. Repeated sampling of streams in eight headwater catchments of interior Alaska showed that the mean age of DOC for each stream ranges widely from modern to ∼2,000 years B.P. Together, an endmember mixing model and nonlinear, generalized additive models demonstrated that Δ14C‐DOC signature (and mean age) increased from spring to fall, and was proportional to hydrologic contributions from a solute‐rich water source, related to presumed deeper flow paths found predominantly in silty catchments. This relationship was correlated with and mediated by catchment properties. Mean DOC ages were older in catchments with >50% burned area, indicating that fire is also an important explanatory variable. These observations underscore the high heterogeneity in aged C export and difficulty of extrapolating estimates of permafrost‐derived DOC export from watersheds to larger scales. Our results provide the foundation for developing a conceptual model of permafrost DOC export necessary for advancing understanding and prediction of land‐water C exchange in changing boreal landscapes.
Untangling the Solar Wind and Magnetospheric Drivers of the Radiation Belt Electrons
Authors: Wing Simon , Johnson Jay R. , Turner Drew L. , Ukhorskiy Aleksandr Y. , Boyd Alexander J.
Published: March 2022

Many solar wind parameters correlate with one another, which complicates the causal‐effect studies of solar wind driving of the magnetosphere. Conditional mutual information (CMI) is used to untangle and isolate the effect of individual solar wind and magnetospheric drivers of the radiation belt electrons. The solar wind density (nsw) negatively correlates with electron phase space density (PSD; average energy ∼1.6 MeV) with time lag (τ) = 15 hr. The effect of nsw has been attributed to magnetopause shadowing or other loss mechanisms, but when the effect of solar wind velocity (Vsw) is removed, τ shifts to 7–11 hr, which is a more accurate time scale for this process. The peak correlation between Vsw and PSD shifts from τ = 30–50 to 44–56 hr, when the effect of nsw is removed. This suggests that the time scale for electron acceleration to 1–2 MeV is about 44–56 hr following Vsw enhancements. The effect of nsw is significant only at L* = 4.5–6 (L* > 6 is highly variable), whereas the effect of Vsw is significant only at L* = 3.5–6.5. The peak response of PSD to Vsw is the shortest and most significant at L* = 4.5–5.5. As time progresses, the peak response broadens and shifts to higher τ at higher and lower L*, consistent with local acceleration at L* = 4.5–5.5 followed by outward and inward diffusion. The outward radial diffusion time scale at L* = 5–6 is ∼40 hr per RE.
Modeling an Extreme Dust Deposition Event to the French Alpine Seasonal Snowpack in April 2018: Meteorological Context and Predictions of Dust Deposition
Authors: Baladima Foteini , Thomas Jennie L. , Voisin Didier , Dumont Marie , Junquas Clementine , Kumar Rajesh , Lavaysse Christophe , Marelle Louis , Parrington Mark , Flemming Johannes
Published: March 2022

Mineral dust is an important aerosol in the atmosphere and is known to reduce snow albedo upon deposition. Model predictions of dust deposition events in snow covered mountain regions are challenging due to the complexity of aerosol‐cloud interactions and the specifics of mountain meteorological systems. We use a case study of dust deposition between 30 March and 5 April 2018 to the French alpine snowpack to study the processes that control dust deposition to the seasonal snowpack. To understand processes controlling dust transport and deposition to snow, we use a combination of in situ observations at Col du Lautaret in the French Alps, satellite remote sensing, the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis global atmospheric composition, and the regional model WRF‐Chem. Specifically, we investigate the role of increased model spatial resolution within WRF‐Chem in capturing mountain meteorology, precipitation, and predicted dust deposition. Regional model results are also compared to the reanalysis global CAMS products including aerosols in the atmosphere and predicted dust deposition fluxes. We conclude that predicted mountain meteorology (e.g., precipitation) is better with increased model resolution (3 × 3 km resolution WRF‐Chem domain). This improved meteorology has significant impacts on predicted dry and wet dust deposition to the alpine snowpack. Dry deposition is important in the western part of the French Alps at low altitudes, while wet deposition dominates over the complex higher altitude mountain terrain.