bluuebunny/crossref_metadata_2025_split huggingface dataset:
Negative emotions about climate change are related to insomnia symptoms and mental health: Cross-sectional evidence from 25 countries
Authors: Ogunbode Charles Adedayo , Pallesen Ståle , Böhm Gisela , Doran Rouven , Bhullar Navjot , Aquino Sibele , Marot Tiago , Schermer Julie Aitken , Wlodarczyk Anna , Lu Su , Jiang Feng , Salmela-Aro Katariina , Hanss Daniel , Maran Daniela Acquadro , Ardi Rahkman , Chegeni Razieh , Tahir Hajra , Ghanbarian Elahe , Park Joonha , Tsubakita Takashi , Tan Chee-Seng , van den Broek Karlijn L. , Chukwuorji JohnBosco Chika , Ojewumi Kehinde , Reyes Marc Eric S. , Lins Samuel , Enea Violeta , Volkodav Tatiana , Sollar Tomas , Navarro-Carrillo Ginés , Torres-Marín Jorge , Mbungu Winfred , Onyutha Charles , Lomas Michael J. 
Published: February 2021

AbstractClimate change threatens mental health via increasing exposure to the social and economic disruptions created by extreme weather and large-scale climatic events, as well as through the anxiety associated with recognising the existential threat posed by the climate crisis. Considering the growing levels of climate change awareness across the world, negative emotions like anxiety and worry about climate-related risks are a potentially pervasive conduit for the adverse impacts of climate change on mental health. In this study, we examined how negative climate-related emotions relate to sleep and mental health among a diverse non-representative sample of individuals recruited from 25 countries, as well as a Norwegian nationally-representative sample. Overall, we found that negative climate-related emotions are positively associated with insomnia symptoms and negatively related to self-rated mental health in most countries. Our findings suggest that climate-related psychological stressors are significantly linked with mental health in many countries and draw attention to the need for cross-disciplinary research aimed at achieving rigorous empirical assessments of the unique challenge posed to mental health by negative emotional responses to climate change.
Immunoglobulin light chain amyloidosis
Authors: Agis Hermine , Krauth Maria T. 
Published: February 2021

SummaryImmunoglobulin light chain (AL) amyloidosis is a rare and underdiagnosed life-threatening systemic disease, primarily caused by insoluble depositions of misfolded monoclonal light chains. The monoclonal light chain paraprotein originates from a small clonal B‑cell or a clonal plasma cell population. If left undetected the paraprotein can induce a number of complications based on organ damage. The most dangerous and life-threatening organ dysfunction emerges from cardiac involvement. Thus, patients overall survival depends on early detection. Establishing the correct diagnosis and clear characterization of the amyloid-forming protein, staging, risk assessment and treatment are crucial and depend on a highly experienced interdisciplinary, multiprofessional team.
The Lymphatic Drain of Below-Knee Malignant Melanoma: Is the Popliteal Fossa a Ghost Station?
Authors: Piero Covarelli , Barberini Francesco , De Giorgi Vincenzo , Anania Gabriele , Santoro Alberto , Bruzzone Paolo , Suadoni Fabio , Boselli Carlo , Cheruiyot Isaac , Palumbo Barbara , Cirocchi Roberto 
Published: February 2021

AbstractSentinel lymph node biopsy is fundamental in the staging of primary cutaneous melanoma (PCL), but reported lymphoscintigraphic patterns are very heterogeneous. In this systematic review, we evaluated the role of the popliteal station in below-knee PCL. A systematic search of literature through was conducted on the electronic databases PubMed, SCOPUS, and Web of Science (WOS) to identify eligible studies. A total of 22 studies (n=5673 patients) were included. During the analysis of the included articles, it was not possible to classify patients into the 3 Menes popliteal drainage pattern, obtained by lymphoscintigraphy. The analysis of lymphatic drainage in patients undergoing lymphoscintigraphy for melanoma of the lower extremities below the knee was reported in 5637 patients and the type of lymphatic popliteal drainage was reported only in 5.64% (320 patients). The rate of popliteal lymph nodes melanoma metastases was 1.49%: they were located exclusively at the popliteal level in 0.60%, at the popliteal and inguinal levels in 0.39%, at the popliteal and iliac level in 0.02%, and at the groin level in 0.48%. In conclusion, the most common lymphoscintigraphic pattern is represented by popliteal nodes in-transit or interval nodes, so metastases from below-knee melanomas commonly transit through popliteal nodes stations and arrive to inguinal nodes stations. The popliteal nodes are the primary station in about 5.64% of cases. Larger studies are needed to corroborate these findings.
Evaluation of Biochar Post‐Process Treatments to Produce Soil Enhancers and Phosphorus Fertilizers at a Single Plant
Authors: Laghari Mahmood , Müller-Stöver Dorette Sophie , Puig-Arnavat Maria , Thomsen Tobias Pape , Henriksen Ulrik Birk 
Published: February 2021

Abstract
This study evaluates the potential to produce phosphorus (P)-rich fertilizer substrates with high plant availability as well as carbon (C)-rich biochar with soil enhancement properties in a single slow-pyrolysis plant. Campaign-based production or co-production of soil enhancers and fertilizer substrates may increase the potential societal value of slow pyrolysis plants. The assessment focus on conventional slow pyrolysis operated at 600 °C to produce biochar from various substrates as well as two options for post-process char treatments—char oxidation at 550 °C and char steam gasification at 800 °C, as a potential way to improve substrate fertilizer value. Four P-rich biomass residues including municipal sewage sludge (SS), biogas fiber (BF), cattle manure (CM), and poultry manure (PM) as well as two C-rich biomasses: wood chips (WC) and wheat straw (WS), were tested. Production yields of biochar and ash from char oxidation and steam gasification were compared and the materials were characterized to be used as soil enhancers and P-fertilizers through direct analysis and soil incubation studies with two different agricultural soils. All thermal treatments increased the concentration of the plant nutrients P, potassium and magnesium in the resulting biochar and ashes compared to the dry biomass. At the same time, concentrations of nitrogen and sulfur were reduced. The dry biomasses generally increased the amount of available P in the soils to a greater extent than biochar or ashes at an application rate of 80 mg P/kg soil. The P-rich biochar and ash made from BF, CM and PM had higher P fertilizer values than those made from SS. In terms of thermal processes, pyrolysis with subsequent char steam gasification was found to be the best option for high P availability in both soils, except for operation on SS where the oxidized char gave the best results. The C-rich biochars made from wood and wheat straw both showed potential for improving soil properties including soil organic matter (SOM) content, cation exchange capacity (CEC) and water holding capacity (WHC). The study shows that campaign operation of slow pyrolysis with the option for char steam gasification is a viable option for producing fertilizer substrates with high levels of plant available P as well as biochar with substantial soil enhancing properties on a single plant. In addition, results also indicate that direct co-pyrolysis of P-rich substrates—especially BF and CM, with any of the two tested C-rich substrates—without subsequent char treatment may be a sufficiently well integrated option for combined soil fertility and soil P fertilization management.

Graphic Abstract
Adsorption affinity of Zn (II) ions for nanostructured zirconium phosphate/silica or titania composites
Authors: Janusz W. , Sydorchuk V. , Skwarek E. , Khalameida S. , Skubiszewska-Zięba J. , Leboda R. 
Published: February 2021

AbstractThe paper presents the kinetics of Zn (II) ions adsorption as well as its dependence as a function of pH on nanostructured zirconium phosphate and its composites with silica and titania. The nanostructured zirconium phosphate-containing composites were obtained by mechanical processing in the Pulverisette-7 (Fritsch Gmbh) mill. The obtained composites were characterized by a heterogeneous surface coverage of silica gel or titanium oxides. Zinc ions adsorption studies on these adsorbents showed practically complete removal of Zn (II) from aqueous solutions with an initial concentration of < 0.0001 mol/dm3 and a pH > 4 within 10 min.
Combinatorial study of stable categories of graded Cohen–Macaulay modules over skew quadric hypersurfaces
Authors: Higashitani Akihiro , Ueyama Kenta 
Published: February 2021

AbstractIn this paper, we present a new connection between representation theory of noncommutative hypersurfaces and combinatorics. Let S be a graded ($$\pm 1$$

±
1

)-skew polynomial algebra in n variables of degree 1 and $$f =x_1^2 + \cdots +x_n^2 \in S$$

f
=

x
1
2

+
⋯
+

x
n
2

∈
S

. We prove that the stable category $$\mathsf {\underline{CM}}^{\mathbb Z}(S/(f))$$

CM
̲

Z

(
S
/

(
f
)

)

of graded maximal Cohen–Macaulay module over S/(f) can be completely computed using the four graphical operations. As a consequence, $$\mathsf {\underline{CM}}^{\mathbb Z}(S/(f))$$

CM
̲

Z

(
S
/

(
f
)

)

is equivalent to the derived category $$\mathsf {D}^{\mathsf {b}}({\mathsf {mod}}\,k^{2^r})$$

D

b

(
mod

k

2
r

)

, and this r is obtained as the nullity of a certain matrix over $${\mathbb F}_2$$

F
2

. Using the properties of Stanley–Reisner ideals, we also show that the number of irreducible components of the point scheme of S that are isomorphic to $${\mathbb P}^1$$

P

1

is less than or equal to $$\left( {\begin{array}{c}r+1\\ 2\end{array}}\right) $$

r
+
1

2

.
Evaluation of chemical additives in hydrothermal pre-treatment of wood for the integrated production of monosugars and hydrolysis lignins for PLA-based biocomposites
Authors: Borrega Marc , Pihlajaniemi Ville , Liitiä Tiina , Wikström Lisa , Tamminen Tarja 
Published: February 2021

AbstractThe use of chemical additives (1- and 2-naphthol, formaldehyde) in hydrothermal pre-treatments of pine, birch, and willow wood was evaluated to minimize lignin condensation reactions and consequently improve the saccharification of the pre-treated materials. The residual hydrolysis lignins were then tested in the preparation of polylactic acid (PLA)-based composites. The results showed that addition of 2-naphthol to the hydrothermal pre-treatment increased the saccharification of pine wood by twofold compared to water-only experiments, but the sugar yield was only 50% of the carbohydrate content in the pre-treated pine. The use of 2-naphthol and formaldehyde also improved somewhat the saccharification of bark-containing willow wood, while the use of 1-naphthol had no effect on the saccharification of any of the pre-treated materials. In birch and willow (without bark), almost complete saccharification could be achieved even without additives. Analyses of hydrolysis lignins from birch revealed structural changes caused by the additives, which were consistent with a reduction of condensation reactions. Selected lignins were successfully used at 20% loading in PLA/lignin composites; however, variation in mechanical properties among composites prepared with different lignins was only minor. In general, the use of lignin decreased the strength and ductility of PLA but increased the stiffness. Based on these results, the use of additives may only be beneficial in the pre-treatment of pine or other softwoods to improve the sugar yields.
Measuring body satisfaction in women with eating disorders and healthy women: appearance-related and functional components in the Body Cathexis Scale (Dutch version)
Authors: Rekkers Marlies E. , Scheffers Mia , van Busschbach Jooske T. , van Elburg Annemarie A. 
Published: February 2021

Abstract
Purpose
Differentiating the concept of body satisfaction, especially the functional component, is important in clinical and research context. The aim of the present study is to contribute to further refinement of the concept by evaluating the psychometric properties of the Dutch version of the Body Cathexis Scale (BCS). Differences in body satisfaction between clinical and non-clinical respondents are also explored.

Method
Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to investigate whether functional body satisfaction can be distinguished as a separate factor, using data from 238 adult female patients from a clinical sample and 1060 women from two non-clinical samples in the Netherlands. Univariate tests were used to identify differences between non-clinical and clinical samples.

Results
EFA identified functionality as one of three factors, which was confirmed by CFA. CFA showed the best fit for a three-factor model, where functionality, non-weight, and weight were identified as separate factors in both populations. Internal consistency was good and correlations between factors were low. Women in the non-clinical sample scored significantly higher on the BCS than women with eating disorders on all three subscales, with high effect sizes.

Conclusions
The three factors of the BCS may be used as subscales, enabling researchers and practitioners to use one scale to measure different aspects of body satisfaction, including body functionality. Use of the BCS may help to achieve a more complete understanding of how people evaluate body satisfaction and contribute to further research on the effectiveness of interventions focussing on body functionality.

Level of evidence
Cross-sectional descriptive study, Level V.
Tourism destination management using sentiment analysis and geo-location information: a deep learning approach
Authors: Paolanti Marina , Mancini Adriano , Frontoni Emanuele , Felicetti Andrea , Marinelli Luca , Marcheggiani Ernesto , Pierdicca Roberto 
Published: February 2021

AbstractSentiment analysis on social media such as Twitter is a challenging task given the data characteristics such as the length, spelling errors, abbreviations, and special characters. Social media sentiment analysis is also a fundamental issue with many applications. With particular regard of the tourism sector, where the characterization of fluxes is a vital issue, the sources of geotagged information have already proven to be promising for tourism-related geographic research. The paper introduces an approach to estimate the sentiment related to Cilento’s, a well known tourism venue in Southern Italy. A newly collected dataset of tweets related to tourism is at the base of our method. We aim at demonstrating and testing a deep learning social geodata framework to characterize spatial, temporal and demographic tourist flows across the vast of territory this rural touristic region and along its coasts. We have applied four specially trained Deep Neural Networks to identify and assess the sentiment, two word-level and two character-based, respectively. In contrast to many existing datasets, the actual sentiment carried by texts or hashtags is not automatically assessed in our approach. We manually annotated the whole set to get to a higher dataset quality in terms of accuracy, proving the effectiveness of our method. Moreover, the geographical coding labelling each information, allow for fitting the inferred sentiments with their geographical location, obtaining an even more nuanced content analysis of the semantic meaning.
Two-stage multi-tasking transform framework for large-scale many-objective optimization problems
Authors: Chen Lu , Wang Handing , Ma Wenping 
Published: February 2021

AbstractReal-world optimization applications in complex systems always contain multiple factors to be optimized, which can be formulated as multi-objective optimization problems. These problems have been solved by many evolutionary algorithms like MOEA/D, NSGA-III, and KnEA. However, when the numbers of decision variables and objectives increase, the computation costs of those mentioned algorithms will be unaffordable. To reduce such high computation cost on large-scale many-objective optimization problems, we proposed a two-stage framework. The first stage of the proposed algorithm combines with a multi-tasking optimization strategy and a bi-directional search strategy, where the original problem is reformulated as a multi-tasking optimization problem in the decision space to enhance the convergence. To improve the diversity, in the second stage, the proposed algorithm applies multi-tasking optimization to a number of sub-problems based on reference points in the objective space. In this paper, to show the effectiveness of the proposed algorithm, we test the algorithm on the DTLZ and LSMOP problems and compare it with existing algorithms, and it outperforms other compared algorithms in most cases and shows disadvantage on both convergence and diversity.
Effects of population co-location reduction on cross-county transmission risk of COVID-19 in the United States
Authors: Fan Chao , Lee Sanghyeon , Yang Yang , Oztekin Bora , Li Qingchun , Mostafavi Ali 
Published: February 2021

AbstractThe objective of this study is to examine the transmission risk of COVID-19 based on cross-county population co-location data from Facebook. The rapid spread of COVID-19 in the United States has imposed a major threat to public health, the real economy, and human well-being. With the absence of effective vaccines, the preventive actions of social distancing, travel reduction and stay-at-home orders are recognized as essential non-pharmacologic approaches to control the infection and spatial spread of COVID-19. Prior studies demonstrated that human movement and mobility drove the spatiotemporal distribution of COVID-19 in China. Little is known, however, about the patterns and effects of co-location reduction on cross-county transmission risk of COVID-19. This study utilizes Facebook co-location data for all counties in the United States from March to early May 2020 for conducting spatial network analysis where nodes represent counties and edge weights are associated with the co-location probability of populations of the counties. The analysis examines the synchronicity and time lag between travel reduction and pandemic growth trajectory to evaluate the efficacy of social distancing in ceasing the population co-location probabilities, and subsequently the growth in weekly new cases across counties. The results show that the mitigation effects of co-location reduction appear in the growth of weekly new confirmed cases with one week of delay. The analysis categorizes counties based on the number of confirmed COVID-19 cases and examines co-location patterns within and across groups. Significant segregation is found among different county groups. The results suggest that within-group co-location probabilities (e.g., co-location probabilities among counties with high numbers of cases) remain stable, and social distancing policies primarily resulted in reduced cross-group co-location probabilities (due to travel reduction from counties with large number of cases to counties with low numbers of cases). These findings could have important practical implications for local governments to inform their intervention measures for monitoring and reducing the spread of COVID-19, as well as for adoption in future pandemics. Public policy, economic forecasting, and epidemic modeling need to account for population co-location patterns in evaluating transmission risk of COVID-19 across counties.
Beobachtete Begeisterung
Authors: Hildebrandt Annika 
Published: February 2021

ZusammenfassungDieser Beitrag untersucht die Beziehung zwischen dem Geniediskurs und der Faszination für ungelehrte Autorschaft im 18. Jahrhundert. Literaturgeschichtlich erschließt er Konstellationen, in denen die Hallische Aufklärung am Beispiel der Dichterinnen Anna Dorothea Lange und Anna Louisa Karsch das Schreiben von Ungelehrten studierte und so Konzepte des Naturgenies vorbereitete. Systematisch hinterfragt er das Modell einer autonomen Rede, indem er diese Versuche auf Sprechmodelle der religiösen Inspiration zurückführt, in denen der inspirierte Status stets durch eine externe Instanz zugeschrieben werden musste.
City intelligence for enhancing urban performance value: a conceptual study on data decomposition in smart cities
Authors: Kourtit Karima 
Published: February 2021

AbstractThe contemporary ‘digital age’ prompts the need for a re-assessment of urban planning principles and practices. Against the background of current data-rich urban planning, this study seeks to address the question whether an appropriate methodological underpinning can be provided for smart city governance based on a data-driven planning perspective. It posits that the current digital technology age has a drastic impact on city strategies and calls for a multi-faceted perspective on future urban development, termed here the ‘XXQ-principle’ (which seeks to attain the highest possible level of quality for urban life). Heterogeneity in urban objectives and data embodied in the XXQ-principle can be systematically addressed by a process of data decomposition (based on a ‘cascade principle’), so that first, higher-level urban policy domains are equipped with the necessary (‘big’) data provisions, followed by lower-ranking urban governance levels. The conceptual decomposition principle can then be translated into a comprehensive hierarchical model architecture for urban intelligence based on the ‘flying disc’ model, including key performance indicators (KPIs). This new model maps out the socio-economic arena of a complex urban system according to the above cascade system. The design of this urban system architecture and the complex mutual connections between its subsystems is based on the ‘blowing-up’ principle that originates from a methodological deconstruction-reconstruction paradigm in the social sciences. The paper advocates the systematic application of this principle to enhance the performance of smart cities, called the XXQ performance value. This study is not empirical, although it is inspired by a wealth of previous empirical research. It aims to advance conceptual and methodological thinking on principles of smart urban planning.
Oral Cenesthopathy Proceeding Dementia with Lewy Body: a Case Report
Authors: Sawada Yuta , Konishi Yuki , Ikenouchi Atsuko , Yoshimura Reiji 
Published: February 2021

AbstractWe herein report a case of oral cenesthopathy that proceeded dementia with Lewy body (DLB). A 70-year-old female presented with oral cenesthopathy. She was diagnosed with major depression/late-onset schizophrenia and treated with paroxetine and perospirone. Subsequently, she developed severe parkinsonism. Her diagnosis changed to DLB based on clinical features and her magnetic resonance imaging, MIBG scintigraphy, and DAT scans. After tapering off paroxetine and perospirone, the patient was treated with donepezil and levodopa. The DLB symptoms, including oral cenesthopathy and parkinsonism, were relieved. This case indicates that oral cenesthopathy may occur as an early symptom of DLB.