bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing Nanoengineered Photocatalysts for Hydrogen Generation by Water Splitting and Conversion of Carbon Dioxide to Clean Fuels
Authors: Bhosale Reshma , Debnath Bharati , Ogale Satishchandra
Published: June 2022

Semiconductor photocatalysis has received tremendous attention in the past decade as it has shown great promise in the context of clean energy harvesting for environmental remediation. Sunlight is an inexhaustible source of energy available to us throughout the year, although it is rather dilutely dispersed. Semiconductor based photocatalysis presents one of the best ways to harness this source of energy to carry out chemical reactions of interest that require external energy input. Photocatalytic hydrogen generation by splitting of water, CO2 mitigation, and CO2 conversion to green fuel have therefore become the highly desirable clean and sustainable processes for a better tomorrow. Although numerous efforts have been made and continue to be expended to search and develop new classes of photocatalyst materials in recent years, several significant challenges still remain to be resolved before photocatalysis can reach its commercial potential. Therefore, major attention is required towards improving the efficiencies of the existing photocatalysts by further manipulating them and parallelly employing newer strategies for novel photocatalyst designs. This personal account aims to provide a broad overview of the field primarily invoking examples of our own research contributions in the field, which include photocatalytic hydrogen generation and CO2 reduction to value added chemicals. This account reviews the state‐of‐the‐art research activities and scientific possibilities which a functional material can offer if its properties are put to best use through goal‐oriented design by combining with other compatible materials. We have addressed fundamental principles of photocatalysis, different kind of functional photocatalysts, critical issues associated with them and various strategies to overcome the related hurdles. It is our hope that this current personal account will provide a platform for young researchers to address the bottleneck issues in the field of photocatalysis and photocatalysts with a sense of clarity, and to find innovative solutions to resolve them by a prudent choice of materials, synthesis protocols, and approaches to boost the photocatalysis output. We emphasize that a targeted or goal‐directed photocatalyst nanoengineering as perhaps the only way to realize an early success in this multiparametric domain.
Recent Advances of Pore Structure in Disordered Carbons for Sodium Storage: A Mini Review
Authors: Yue Liang , Lei Yusi , Niu Yubin , Qi Yuruo , Xu Maowen
Published: June 2022

Disordered carbons as the most promising anode materials for sodium ion batteries (SIBs) have attracted much attention, due to the widely‐distributed sources and potentially high output voltage when applied in full cells owing to the almost lowest voltage plateau. The complex microstructure makes the sodium storage mechanism of disordered carbons controversial. Recently, many studies show that the plateau region of disordered carbons are closely related to the embedment of sodium ion/semimetal in nanopores. In this regard, the classification, characterization and construction of nanopores are exhaustively discussed in this review. In addition, perspectives about the controllable construction of nanopores are presented in the last section, aiming to catch out more valuable studies include not only the construction of closed pores to enhance capacity but also the design of carbon materials to understand Na storage mechanism.
Versorgung und Reanimation des reifen Neugeborenen nach der Geburt
Authors: Schwindt J.‑C. , Grass B. , Schäfer S. , Deindl P. , Schwindt E. M. , Wald M. , Schroth M.
Published: June 2022

Die volle Reanimation eines Neugeborenen mit Beatmungen, Thoraxkompressionen und der Gabe von Medikamenten ist ein äußerst seltenes Ereignis, das selbst neonatologische Teams immer wieder vor Herausforderungen stellt. Gerade in diesen seltenen und häufig dramatischen Situationen ist schnelles und umsichtiges Handeln im Team gefragt. Dabei ist die effektivste und meist einzig notwendige Maßnahme für die erfolgreiche Versorgung eines nicht spontan atmenden Neugeborenen eine suffiziente Maskenbeatmung. Wird diese effektiv durchgeführt, sind beim Neugeborenen in den seltensten Fällen tatsächlich Thoraxkompressionen notwendig. Im März 2021 wurde vom European Resuscitation Council (ERC) die neue Leitlinie zur Reanimation von Neugeborenen publiziert. Auf Basis dieser Leitlinie beschreibt der vorliegende Beitrag detailliert den im Algorithmus der Versorgung und Reanimation von reifen Neugeborenen dargestellten Handlungsablauf. Er richtet sich damit einerseits insbesondere an NichtneonatologInnen, die für die Versorgung v. a. von reifen Neugeborenen nach der Geburt verantwortlich sind. Andererseits soll er auch jenen zur Unterstützung dienen, die medizinisches Personal in der Versorgung von lebensbedrohten Neugeborenen trainieren und den Algorithmus der Neugeborenenreanimation als didaktisches Konzept vermitteln.
Geomorphological drivers of deeper reef habitats around Seychelles
Authors: Swanborn D. J. B. , Fassbender N. , Huvenne V. A. I. , Pittman S. J. , Stefanoudis P. V. , Woodall L. C.
Published: June 2022

Mesophotic (30–150 m) and rariphotic (150–300 m) deeper reef habitats are important from an ecological and conservation perspective, yet remain understudied. Key knowledge gaps exist on the environmental patterns and processes that drive and shape their geographical distributions. Understanding these is particularly important for regions as the Western Indian Ocean, where deeper reefs are poorly known but support food security and host economically important species. Spatial predictive models of assemblage occurrences, using terrain variables as predictors, offer a solution to address knowledge gaps around deeper reef distributions. We identified relationships between seafloor geomorphology, quantified at multiple scales, and sessile benthic assemblages in four atoll seascapes in Seychelles using terrain models derived from high-resolution multibeam sonar and underwater video surveys. Using random forests and boosted regression trees, we demonstrated that terrain derivatives extracted over multiple scales perform as reliable predictors of deeper reef assemblages. The most influential environmental predictors were depth, distance to shore, topographic complexity, slope and curvature and substrate characteristics. The relative importance of predictors was explained by assemblage functional characteristics. Assemblage–environment relationships were used to produce probability distribution maps that showed similar distributional patterns for identified assemblages across locations, with high occurrence probabilities linked to complex geomorphological structures. Our results help contribute to a consistent baseline understanding of the relationship between seascape structure and mesophotic reef ecosystems in this area. Complex geomorphological structures, including terraces and paleoshorelines, supported high densities of mesophotic assemblages and could be considered priority habitats for management.
The clinical application value of phase angle of six parts in nutritional evaluation of tumor patients
Authors: Zhang Xiaoling , Zhang Jialei , Du Yunyi , Wu Xiaoyu , Chang Yali , Li Weiling , Liu Yaqin , Hu Wenqing , Zhao Jun
Published: June 2022

Objectives

The purpose of this study was to explore the clinical application value of phase angle (PA) of six parts in the nutritional evaluation and construct a prediction model for diagnosing malnutrition of tumor patients.

Methods

A total of 1129 patients with malignant tumors were analyzed retrospectively. The age, sex, tumor location and body mass index (BMI) of the patients were collected, and PA of six parts was measured. The Patient Subjective Global Assessment (PG-SGA) was used to evaluate the nutritional status of each patient.

Results

According to the PG-SGA, 66.5% (n = 750) of the patients were evaluated as malnourished. Patients under the age of 65 had higher PA values. The PA value of men was higher than that of women (except PA-RL). In different disease groups, the PA-RA and PA-TR values were significantly different. In our study, PA value increases with BMI and decreases with PG-SGA (except PG-SGA 0–1 group). Multivariate regression analysis indicates that the age (HR = 1.051, 95% CI 1.037–1.066, P < 0.001), BMI (HR = 0.885, 95% CI 0.849–0.924, P < 0.001), and PA-WB (HR = 0.615, 95% CI 0.546–0.692, P < 0.001) were independent significant predictors associated with malnutrition. The AUC of the prediction model is 0.7631 (p < 0.001), indicating that the model including age, BMI, and PA-WB has certain diagnostic value for the diagnosis of malnutrition.

Conclusion

The PA-WB is an independent prognostic factor of malnutrition. The prediction model constructed by age, BMI, and PA-WB can be used as a useful tool for nutritional evaluation of tumor patients.

Trial registration

Clinical Trial No.: ChiCTR2100047858.
The impact of nutrition on the lives of patients with digestive cancers: a position paper
Authors: Vitaloni Marianna , Caccialanza Riccardo , Ravasco Paula , Carrato Alfredo , Kapala Aleksandra , de van der Schueren Marian , Constantinides Dora , Backman Eva , Chuter David , Santangelo Claudia , Maravic Zorana
Published: June 2022

Nutritional intervention is an essential part of cancer treatments. Research and clinical evidence in cancer have shown that nutritional support can reduce length of hospitalisation, diminish treatment-related toxicity, and improve nutrient intake, quality of life, and physical function. Nutritional intervention can improve outcomes and help patients in the successful completion of oncological treatments by preventing malnutrition. Malnutrition is a very common hallmark in patients with cancers. Almost one-fourth of cancer patients are at risk of dying because of the consequences of malnutrition, rather than cancer itself. Patients with digestive cancers are at higher risk of suffering malnutrition due to the gastrointestinal impairment caused by their disease. They are at high nutritional risk by definition, yet the majority of them have insufficient or null access to nutritional intervention.Inadequate resources are dedicated to implementing nutritional services in Europe. Universal access to nutritional support for digestive cancer patients is not a reality in many European countries. To change this situation, health systems should invest in qualified staff to reinforce or create nutritional teams’ experts in digestive cancer treatments. We aim to share the patient community’s perspective on the status and the importance of nutritional intervention. This is an advocacy manuscript presenting data on the topic and analysing the current situations and the challenges for nutrition in digestive cancers. It highlights the importance of integrative nutrition in the treatment of digestive cancers and advocates for equitable and universal access to nutritional intervention for all patients.
Surgery for clinoidal meningiomas with cavernous sinus extension: Near-total excision and chiasmopexy
Authors: Starnoni Daniele , Tuleasca Constantin , Levivier Marc , Daniel Roy T.
Published: June 2022

Background

The main factors limiting the extent of resection for clinoidal meningiomas are cavernous sinus extension and vessel adventitia involvement. The proximity to the optic apparatus and the risk of radiation-induced optic neuropathy often prevents many surgeons from proposing adjuvant radiosurgery.

Method

We describe a simple technical solution that is to place a fat graft between the optic apparatus and the residual tumor to maintain the distance gained at surgery and facilitates the identification of anatomic structures.

Conclusion

This technique allows to deliver optimal therapeutic doses to the residue reduces the dose received by the optic nerve below 8 Gy.
Iatrogenic post-surgical tension pneumosyrinx—a first reported case
Authors: Swarna Shyam S. , Jung Josephine , Connor Steve , Belci Maurizio , Grahovac Gordon
Published: June 2022

We describe the first ever-reported occurrence of a post-operative tension pneumosyrinx occurring after a resection of an intradural intramedullary spinal tumour in a 40-year-old patient. Post-operatively, he developed sudden onset paraplegia and imaging revealed a tension pneumosyrinx which was subsequently surgically decompressed. He made a gradual neurological recovery. This is an extremely rare complication with potentially long-lasting deleterious effects on patients’ neurological status if not recognized. We aim to bring this pathology to the attention of our neurosurgical colleagues and share our surgical approach and management to assist those who may encounter this pathology in the future.
Analyse von Einflussfaktoren auf die Transporthäufigkeit von Frequent Usern mit Angststörung
Authors: Breuer Florian , Pommerenke Christopher , Poloczek Stefan
Published: June 2022

Einleitung

Frequent User wählen wiederholt den Notruf 112 und sind für eine Vielzahl von Einsätzen verantwortlich. In vielen Fällen ist eine Angststörung ursächlich für das Verhalten. Hierbei spielen vermutlich eine unzureichende Anbindung an eine geeignete Versorgungseinrichtung sowie eine mangelhafte Compliance eine wesentliche Rolle.

Methodik

Als Frequent User mit Angststörung wurden diejenigen Patientinnen definiert, bei denen im Einsatzprotokoll die Kombination aus der (Verdachts‑)Diagnose „psychiatrischer Notfall“ sowie dem psychiatrischen Befund „ängstlich“ dokumentiert wurde und es im betrachteten Zeitraum (01.10.2020 bis 31.05.2021) zu mindestens 2 Einsätzen der Notfallrettung kam (n = 74). Ergänzend erfolgte eine Auswertung aus den Daten aus dem Einsatzleitsystem. Die Einsätze (n = 326) wurden in Bezug auf die Transporthäufigkeit in Abhängigkeit von mNACA-Score, Einsatzort sowie der Notrufmeldung analysiert.

Ergebnisse

In 52,1 % handelte es sich um mNACA-II-Einsätze, in 42,3 % um mNACA-III-Einsätze und in 5,5 % um mNACA-IV-Einsätze. Neben dem mNACA-Score hatte weder der Einsatzort noch die Einsatzzeit noch die Dringlichkeit Einfluss auf die Transporthäufigkeit. Im Ergebnis zur Alarmierung zum „psychiatrischen Notfall“ wurden signifikant mehr Transporte durchgeführt. Das Alter war ebenfalls nicht maßgeblich.

Schlussfolgerung

Neben der Notwendigkeit der Verbesserung der Gesundheitskompetenz von vulnerablen Gruppen muss sich auch der Rettungsdienst in den kommenden Jahren vermehrt auf ein verändertes Einsatzspektrum einstellen. Damit einhergehend müssen Schnittstellen und die Anbindung an alternative Versorgungsformen optimiert werden. Neben einem Case Management sind Strukturen denkbar, die psychosoziale Hilfe unmittelbar an die Notfallrettung anbinden.

Graphic abstract
Incomplete incentive contracts in complex task environments: an agent-based simulation with minimal intelligence agents
Authors: Wall Friederike
Published: June 2022

Incentive contracts often do not govern all task elements for which an employee is responsible. Prior research, particularly in the tradition of principal-agent theory, has studied incomplete incentive contracts as multi-task problems focusing on how to motivate the employee to incur effort for a not-contracted task element. Thus, emphasis is on the “vertical” relation between superior and subordinate, where both are modeled as gifted economic actors. This paper takes another perspective focusing on the “horizontal” interferences of—contracted and not-contracted—task elements across various employees in an organization and, hence, on the complexity of an organization’s task environment. In order to disentangle the interactions among tasks from agents’ behavior, the paper pursues a minimal intelligence approach. An agent-based simulation model based on the framework of NK fitness landscapes is employed. In the simulation experiments, artificial organizations search for superior performance, and the experiments control for the complexity of the task environment and the level of contractual incompleteness. The results suggest that the complexity of the task environment in terms of interactions among task elements may considerably shape the effects of incomplete incentive contracts. In particular, the results indicate that moderate incompleteness of incentive contracts may be beneficial with respect to organizational performance when intra-organizational complexity is high. This is caused by stabilization of search resulting from incomplete contracts. Moreover, interactions may induce that the not-contracted task elements could serve as means objectives, i.e., contributing to achieving contracted task elements.
Mein Klient, der Narzisst? – Kritische Gedanken zum Umgang mit dem Begriff Narzissmus im Coaching
Authors: Zimmermann Jannik , Friedrichs Juliane
Published: June 2022

Narzissmus wird im Alltag zunehmend „diagnostiziert“. Viele Coaches sind hier keine Ausnahme; sie sehen in vermeintlich narzisstischen Klient:innen die Ursache für Störungen im Coachingprozess. Dieser Beitrag widmet sich der Frage, ob in diesem Zusammenhang die Verwendung eines Narzissmus-Etiketts sinnvoll ist. Um die damit einhergehende Problematik zu verdeutlichen, gehen wir auf die Entstehung des heutigen Narzissmus-Verständnisses ein, diskutieren die aktuelle Forschung und zeigen Fallstricke auf. Abschließend bieten wir zielführende Alternativen zur Verwendung eines Narzissmus-Etiketts an.
Review and evaluation of warp-knitted patterns for metal-based large deployable reflector surfaces
Authors: Bettermann Isa , Löcken Henning , Greb Christoph , Gries Thomas , Oses Alexander , Pauw Julian , Maghaldadze Nikoloz , Datashvili Leri
Published: June 2022

A large deployable reflector antenna (LDA) is comprised of numerous components. One of the key components of this reflector antenna is the reflector surface. Several types of reflector surfaces have been developed and used, namely, metal mesh-based reflector surfaces, membrane-based reflector surfaces, etc. The benefits presented by warp-knitted metal mesh-based reflector surfaces are their foldability and light weight structural characteristics. Typical metal mesh-based reflector surfaces are produced using a warp knitting textile manufacturing process. A warp-knitted metal mesh reflecting surface is an elastic, open structured knit with a low bending stiffness produced on a high gauge knitting machine (E26 or higher gauge) consisting of a compatible metal yarn (typically tungsten or molybdenum). This paper gives an overview about the requirements for mesh reflector surfaces stated in the literature. Afterwards, an overview of different patterns currently investigated by the LDA community is given. The names given to the various types of patterns in the literature often differ. The construction of the various patterns is therefore first optical analysed and compared. Subsequently, the different patterns are evaluated on the basis of the requirements. Based on the requirements and the possibilities of the warp knitting machine, new possible patterns are identified and evaluated. For the development of a new reflector surface, the identified patterns are developed as a warp-knitted spacer fabric. This decision increases the stiffness of the knitted fabric. This new concept for an advanced reflector surfaces is introduced by Large Space Structures GmbH (LSS) (concept) and ITA (production technology).
RETRACTED ARTICLE: The Effect of Preterm Birth on Maximal Aerobic Exercise Capacity and Lung Function in Healthy Adults: A Systematic Review and Meta-analysis
Authors: Gostelow Thomas , Stöhr Eric J.
Published: June 2022

Background

A negative impact of premature birth on health in adulthood is well established. However, it is not clear whether healthy adults who were born prematurely but have similar physical activity levels compared to adults born at term have a reduced maximal aerobic exercise capacity (maximum oxygen consumption [VO2max]).

Objective

We aimed to determine the effect of premature birth on aerobic exercise capacity and lung function in otherwise healthy, physically active individuals.

Methods

A broad literature search was conducted in the PubMed database. Search terms included ‘preterm/premature birth’ and ‘aerobic exercise capacity’. Maximal oxygen consumption (mL/kg/min) was the main variable required for inclusion, and amongst those investigations forced expiratory volume in 1 s (FEV1, % predicted) was evaluated as a secondary parameter. For the systematic review, 29 eligible articles were identified. Importantly, for the meta-analysis, only studies which reported similar activity levels between healthy controls and the preterm group/s were included, resulting in 11 articles for the VO2max analysis (total n = 688, n = 333 preterm and n = 355 controls) and six articles for the FEV1 analysis (total n = 296, n = 147 preterm and n = 149 controls). Data were analysed using Review Manager ( Review Manager. RevMan version 5.4 software. The Cochrane Collaboration; 2020.).

Results

The systematic review highlighted the broad biological impact of premature birth. While the current literature tends to suggest that there may be a negative impact of premature birth on both VO2max and FEV1, several studies did not control for the potential influence of differing physical activity levels between study groups, thus justifying a focused meta-analysis of selected studies. Our meta-analysis strongly suggests that prematurely born humans who are otherwise healthy do have a reduced VO2max (mean difference: − 4.40 [95% confidence interval − 6.02, − 2.78] mL/kg/min, p < 0.00001, test for overall effect: Z = 5.32) and FEV1 (mean difference − 9.22 [95% confidence interval − 13.54, − 4.89] % predicted, p < 0.0001, test for overall effect: Z = 4.18) independent of physical activity levels.

Conclusions

Whilst the current literature contains mixed findings on the effects of premature birth on VO2max and FEV1, our focused meta-analysis suggests that even when physical activity levels are similar, there is a clear reduction in VO2max and FEV1 in adults born prematurely. Therefore, future studies should carefully investigate the underlying determinants of the reduced VO2max and FEV1 in humans born preterm, and develop strategies to improve their maximal aerobic capacity and lung function beyond physical activity interventions.
Poultry Meat allergy: a Review of Allergens and Clinical Phenotypes
Authors: Wanniang Naphisabet , Codreanu-Morel Françoise , Kuehn Annette , Morisset Martine
Published: June 2022

Purpose of review

In the recent years, more cases of poultry meat allergy, both IgE- or non-IgE-mediated, are being reported. Patients have varied clinical reactivity at various levels of sensitivity to different meat preparations. The lack of validated biomarkers renders accurate diagnosis challenging. In this review, we aim to provide an overview of the current status of poultry meat allergy along with a description on the allergens implicated.

Recent findings

Poultry meat allergy occurs as a result of cross-reactions with known allergens of egg yolk or bird feathers or as genuine IgE-mediated sensitivity to allergens in poultry meat. Individuals can also develop non-IgE-mediated hypersensitivity reactions to poultry meat. Chicken serum albumin is the main responsible allergen in secondary cases, while myosin light chain, α parvalbumin, enolase, aldolase, hemoglobin, and α-actin have been recognized as potential eliciting allergens in genuine poultry meat allergy.

There is a wide phenotypic variation among patients with poultry meat allergy, regarding clinical severity and cross-reactivity features. Recognizing the various clinical entities of reactions to poultry meat is an important step towards accurate diagnosis and providing management options that are well received by patients.
Community livelihood vulnerability to drought in semi-arid areas of northern Cameroon
Authors: Ntali Yeluma Mary , Lyimo James G.
Published: June 2022

Drought is a devastating recurring climate hazard, with enormous impacts on livelihoods and attainment of sustainable development goals (SDGs) in semi-arid areas. The current study was conducted to evaluate households’ livelihood vulnerability to droughts in an African semi-arid region. A total of 384 households from a drought-prone region in Northern Cameroon were randomly sampled and interviewed using a structured questionnaire. Livelihood vulnerability was evaluated from the collected households’ data using the Livelihood Vulnerability Index (LVI) and Intergovernmental Panel on Climate Change Vulnerability Index (IPCC-VI) methods. The LVI results showed that food insecurity, livelihood strategy and social networking were the major drivers of livelihood vulnerability. This was because almost all of the interviewed households relied on rain-fed agriculture and there was limited early drought warning information, which limited the achievements of some SDGs such as zero hunger, water accessibility and poverty alleviation. Adoption of drought-resilient and early maturing crops together with the use of agriculture extension officers to disseminate drought warnings are advised to reduce the effects of the livelihood vulnerability drivers and ensure sustainable development. The IPCC-VI showed that drought exposure and adaptive capacity were low while drought sensitivity was high among the surveyed households. The high sensitivity was due to food and water insecurity, while low adaptive capacity was due to a lack of formal education and a high dependency rate. Heavy investment in education and reducing the number of dependents through family planning and campaigning against polygamy could enhance households’ adaptive capacity. It was concluded that households’ livelihood vulnerability in the study area was due to high sensitivity and low adaptive capacity to drought. Drought reversed positive steps that had been taken to achieve various SDGs; however, heavy investment in other SDGs such as quality education and health could enhance households’ adaptive capacity and system sustainability in African semi-arid regions.
Politics and International Law
Authors: Johns Leslie
Published: June 2022

International law shapes nearly every aspect of our lives. It affects the food we eat, the products we buy, the rights we hold, and the wars we fight. Yet international law is often believed to be the exclusive domain of well-heeled professionals with years of legal training. This text uses clear, accessible writing and contemporary political examples to explain where international law comes from, how actors decide whether to follow international law, and how international law is upheld using legal and political tools. Suitable for undergraduate and graduate students, this book is accessible to a wide audience and is written for anyone who wants to understand how global rules shape and transform international politics. Each chapter is framed by a case study that examines a current political issue, such as the bombing of Yemen or the use of chemical weapons in Syria, encouraging students to draw connections between theoretical concepts and real-world situations. The chapters are modular and self-contained, and each is paired with multiple Supplemental Cases: edited and annotated judicial opinions. Accompanied by ready-to-use PowerPoint slides and a testbank for instructors.
Purchasing products with sustainable palm oil: designing and evaluating an online intervention for Australian consumers
Authors: Sundaraja Cassandra Shruti , Hine Donald W. , Thorsteinsson Einar B. , Lykins Amy D.
Published: June 2022

Widespread tropical deforestation and biodiversity loss in Southeast Asia due to the oil palm industry can be addressed by encouraging consumers to purchase sustainable palm oil (SPO). An online experiment was conducted to assess whether addressing barriers relating to education, motivation and product availability would increase purchasing of SPO. Australian adults (n= 628) were randomly assigned to either: (1) a newly developed interactive educational website on palm oil and SPO; (2) an existing educational video on SPO; or (3) an interactive website on differentiating between real and fake news (an attentional control condition). All participants completed pre-intervention and immediate post-intervention measures. Most participants (n= 403) completed follow-up measures two weeks later. Multivariate analysis revealed that the interactive website and educational video increased both knowledge and the intention to purchase SPO (compared to the attentional control), but neither significantly impacted follow-up self-reported SPO purchasing behaviour. Low perceived product availability might help explain the intention–behaviour gap. Our results suggest that, in addition to increasing consumer knowledge and motivation, promoting sustainable consumption requires creating opportunities for people to engage in the desired behaviour.
Cost of Ecosystem Service Value Due to Rohingya Refugee Influx in Bangladesh
Authors: Sarkar Showmitra Kumar , Saroar Md. Mustafa , Chakraborty Tanmoy
Published: June 2022

Objective:

The objective of the research is to estimate the cost of ecosystem service value (ESV) due to the Rohingya refugee influx in Ukhiya and Teknaf upazilas of Bangladesh.

Methods:

Artificial neural network (ANN) supervised classification technique was used to estimate land use/land cover (LULC) dynamics between 2017 (ie, before the Rohingya refugee influx) and 2021. The ESV changes between 2017 and 2021 were assessed using the benefit transfer approach.

Results:

According to the findings, the forest lost 54.88 km2 (9.58%) because of the refugee influx during the study. Around 47.26 km2 (8.25%) of settlement was increased due to the need to provide shelter for Rohingya refugees in camp areas. Due to the increase in Rohingya refugee settlements, the total ESV increased from US $310.13 million in 2017 to US $332.94 million in 2021. Because of the disappearance of forest areas, the ESV for raw materials and biodiversity fell by 13.58% and 14.57%, respectively.

Conclusion:

Natural resource conservation for long-term development will benefit from the findings of this study.
Fluidic operation of a polymer-based nanosensor chip for analysing single molecules
Authors: Vaidyanathan Swarnagowri , Gamage Sachindra , Dathathreya Kavya , Kryk Renee , Manoharan Anishkumar , Zhao Zheng , Zhang Lulu , Choi Junseo , Park Daniel , Park Sunggook , Soper Steven A.
Published: June 2022

Most medical diagnostic tests are expensive, involve slow turnaround times from centralized laboratories and require highly specialized equipment with seasoned technicians to carry out the assay. To facilitate realization of precision medicine at the point of care, we have developed a mixed-scale nanosensor chip featuring high surface area pillar arrays where solid-phase reactions can be performed to detect and identify nucleic acid targets found in diseased patients. Products formed can be identified and detected using a polymer nanofluidic channel. To guide delivery of this platform, we discuss the operation of various components of the device and simulations (COMSOL) used to guide the design by investigating parameters such as pillar array loading, and hydrodynamic and electrokinetic flows. The fabrication of the nanosensor is discussed, which was performed using a silicon (Si) master patterned with a combination of focused ion beam milling and photolithography with deep reactive ion etching. The mixed-scale patterns were transferred into a thermoplastic via thermal nanoimprint lithography, which facilitated fabrication of the nanosensor chip making it appropriate for in vitro diagnostics. The results from COMSOL were experimentally verified for hydrodynamic flow using Rhodamine B as a fluorescent tracer and electrokinetic flow using single fluorescently labelled oligonucleotides (single-stranded DNAs, ssDNAs).
Job and work context elements in fostering employee creative behavior: exploring the moderating role of work passion
Authors: Ramos Hazel Melanie , Mustafa Michael , Zainal Badri Siti Khadijah
Published: June 2022

How does employees' work context and job characteristics influence their creative behavior? To explore this question, this study draws on the Job Demands – Job Resources (JD-R) model to examine the role of excessive work overload and training and development on employee creative behaviors. Additionally, the study explores whether employees' work passion mitigates or enhances the effects of work overload and training and development on their creative behavior. Data from 142 employee–supervisor dyads in a Singaporean telecommunications organization showed that work overload had a marginally significant positive effect on employee creative behavior. Additionally, employees' work passion was found to enhance the effects of training and development on their creative behavior. The study contributes to ongoing debates in the literature regarding how specific characteristics of one's job and targeted human resource practices may foster employee creativity.
Web-based nautical charts automated compilation from open hydrospatial data
Authors: Contarinis Stilianos , Nakos Byron , Tsoulos Lysandros , Palikaris Athanasios
Published: June 2022

Electronic navigational charts (ENCs) are specialised geospatial datasets, issued by or on the authority of a government or hydrographic office, in accordance with the International Hydrographic Organisation's (IHO) standards, specifications and symbol sets. The datasets generally comprise encoded information collected from hydrographic surveys, aimed primarily at the safety of navigation. Most ENCs are not openly available, since the encrypted datasets can be acquired through various license schemes via a centralised distribution network coordinated by two organisations operating on behalf of the coastal states that produce them. This paper describes a methodology and an integrated system developed at the National Technical University of Athens Cartography Laboratory for the generation of web-based nautical charts utilising open data and free software. The system compiles nautical charts compliant with IHO's S-101 latest standard; using open hydrospatial data retrieved from marine spatial data infrastructures (MSDI) and other qualified volunteered geographic information (VGI) sources. Open-source geospatial libraries and web-map vector technologies are used to build the system components and software scripts developed to enable automated compilation. The study also discusses how the system can be improved further by leveraging web services for end-to-end process automation and satellite-derived bathymetry for accurate depiction of seabed topography in low-depth areas.
The effect of joint involvement of nurse and physician in hospice care on terminal cancer patients on do-not-resuscitate orders signed by surrogates
Authors: Huang Ling-Hui , Chang Chia-Hui , Chu Chien-Lun , Tsai Tung-Han , Yang Chiu-Ming , Shieh Shwn-Huey
Published: June 2022

Objectives

Patients with terminal cancer often experience physical and mental distress. Signing a do-not-resuscitate order (DNR) is crucial to protect against invalid treatment. This study aims to explore the effect of hospice shared care intervention by medical staff on the completion of a DNR-S (DNR order signed by surrogates) for patients with terminal cancer.

Method

The cross-sectional study in this research involved secondary analysis of data from the 2011–2015 clinical cancer case management database of a medical center in central Taiwan. Those with a DNR order signed by patients (DNR-P) or DNR-S before the hospice shared care consultation were excluded from this study; a total of 1,306 patients with terminal cancer were selected.

Results

This study demonstrated that the percentage of DNR-S after consultation involving both nurse and physician was 75.4%. With other variables controlled, the number of DNR-Ss after consultation with a nurse was significantly lower [odds ratio (OR) = 0.57, 95% confidence interval (CI) = 0.42–0.75] and that of DNR-Ss after consultation involving both nurse and physician was significantly higher (OR = 1.35, 95% CI = 1.01–1.79), than that of DNR-Ss after consultation with only the physician.

Significance of results

Joint involvement of the nurse and physician in hospice care provides sufficient information to patients and family with terminal cancer about their condition and enhances doctor–patient communication. This effectively assists patients with terminal cancer and their family members in making the major decision of signing a DNR, alleviates the concerns of patients and family members about signing a DNR, and reduces terminal cancer patients’ pain at the end of life to ensure that they die in peace and dignity.
Development status and trends in side-deep fertilization of rice
Authors: Wang Jinfeng , Wang Zhentao , Weng Wuxiong , Liu Yuanfeng , Fu Zuodong , Wang Jinwu
Published: June 2022

Overuse of fertilizer is detrimental to the sustainability of crop production from an economic and environmental perspective. While rice side-deep fertilization technology can significantly improve fertilizer utilization efficiency, improve crop yield and reduce environmental pollution caused by improper use of fertilizer compared with conventional fertilization methods. Therefore, side-deep fertilization technology has an important role in the sustainable development of agriculture. This article describes fertilizer selection, side-deep fertilization devices and the effects of side-deep fertilization technology on rice plants and soil. We summarize the types and characteristics of side-deep fertilizers and their ratios and modes. The basic principles and characteristics of the key components of mechanical fertilization devices are described in detail, including fertilizer discharging devices (rotating disc type, outer groove wheel type, screw type), fertilizer conveying devices (pneumatic, mechanical forced type) and sensors. The effects and mechanisms of side-deep fertilization on rice growth, yield, quality, fertilizer utilization efficiency and soil microorganisms are summarized. Finally, based on current research on side-deep fertilization, future directions are identified to aid the development of this promising technology.
Munich Alliance Against Depression
Authors: Mergl Roland , Heinz Ines , Allgaier Antje-Kathrin , Hegerl Ulrich
Published: June 2022

Abstract. Background: A four-level community-based intervention aiming simultaneously to improve the care for depression and to prevent suicidal behavior has been implemented in the German city Munich. Aims: Changes in suicide rates in Munich during 2009–2014 were analyzed with respect to a 10-year baseline. The same was true for a control region (Cologne) and Germany minus Munich. Method: The interventions included training of primary care providers, a public awareness campaign, training of community facilitators, and support for patients and relatives. Analyses included repeated-measures, generalized linear models. Results: In Munich, the suicide rate significantly decreased during the intervention period compared to baseline (percentage change = −15.0%; p < .001, 198 compared to 222 suicides per year). Differences in the change for Munich and the change for the control locations (Cologne; −1.7%; p = .71) and Germany minus Munich (−6.2%; p = .09) were not significant. Limitations: Data on suicide attempts were unavailable. Conclusion: In Munich, a clinically and statistically significant decrease in suicide rate was found. This change was numerically but not significantly larger than in the control regions. The results are promising, however. Because of low suicide base rates and limited power, no strong conclusions can be drawn concerning suicide preventive effects of the intervention.
3‐D Atmospheric Modeling of the Global Budget of N2O and Its Isotopologues for 1980–2019: The Impact of Anthropogenic Emissions
Authors: Liang Qing , Nevison Cynthia , Dlugokencky Ed , Hall Bradley D. , Dutton Geoff
Published: June 2022

Nitrous oxide (N2O) is the third most important anthropogenic greenhouse gas and a major ozone‐depleting substance. Its main sources include anthropogenic activities (mostly agriculture) and natural emissions from ocean and soils. However, emission estimates for individual sources are highly variable due to uncertainties in N2O lifetime estimates and partitioning among sources. We derive annual global N2O emissions for 1990–2019 using NOAA Global Monitoring Laboratory (GML) surface N2O observations and the N2O lifetime calculated in the NASA GEOS‐5 chemistry climate model. The inferred global mean N2O emissions has gradually increased from ∼15.8 TgN/yr in the early 1990s to ∼17.8 TgN/yr in the 2010s. This implies that anthropogenic N2O emissions have grown rapidly from ∼6.7 TgN/yr in the 1990s to about ∼8.7 TgN/yr in the 2010s, a ∼30% increase. With specially designed N2O isotopic tracers in 3‐D GEOSCCM, we estimate that, on global average, stratospheric enrichment contributes about +7.7‰/yr, +7.6‰/yr, +8.0‰/yr to tropospheric δ15Nα, δ15Nβ, and δ18O budget, respectively. To balance the global mean isotopic signature for pre‐industrial terrestrial sources of δ15Nα ∼ 6.7‰, δ15Nβ ∼ −12.6‰, δ18O ∼ 35.4‰, our 3‐dimensional isotopic budget simulation using the GEOSCCM suggests global mean anthropogenic isotopic signatures in the recent decades are δ15Nα ∼ −18‰, δ15Nβ ∼ −20‰, δ18O ∼ 19‰. These anthropogenic isotopic estimates are significantly lighter than results from one‐box atmospheric model‐based estimates with the largest difference seen for δ15Nβ. More surface isotopic measurements are needed to better quantify the N2O isotopic signatures.
Aseismic Fault Slip During a Shallow Normal‐Faulting Seismic Swarm Constrained Using a Physically Informed Geodetic Inversion Method
Authors: Jiang Yu , Samsonov Sergey V. , González Pablo J.
Published: June 2022

Improved imaging of the spatio‐temporal growth of fault slip is crucial for understanding the driving mechanisms of earthquakes and faulting. This is especially critical to properly evaluate the evolution of seismic swarms and earthquake precursory phenomena. Fault slip inversion is an ill‐posed problem and hence regularization is required to obtain stable and interpretable solutions. An analysis of compiled finite fault slip models shows that slip distributions can be approximated with a generic elliptical shape, particularly well for M ≤ 7.5 events. Therefore, we introduce a new physically informed regularization to constrain the spatial pattern of slip distribution. Our approach adapts a crack model derived from mechanical laboratory experiments and allows for complex slipping patterns by stacking multiple cracks. The new inversion method successfully recovered different simulated time‐dependent patterns of slip propagation, that is, crack‐like and pulse‐like ruptures, directly using wrapped satellite radar interferometry (InSAR) phase observations. We find that the new method reduces model parameter space, and favors simpler interpretable spatio‐temporal fault slip distributions. We apply the proposed method to the 2011 March–September normal‐faulting seismic swarm at Hawthorne (Nevada, USA), by computing ENVISAT and RADARSAT‐2 interferograms to estimate the spatio‐temporal evolution of fault slip distribution. The results show that (a) aseismic slip might play a significant role during the initial stage and (b) this shallow seismic swarm had slip rates consistent with those of slow earthquake processes. The proposed method will be useful in retrieving time‐dependent fault slip evolution and is expected to be widely applicable to studying fault mechanics, particularly in slow earthquakes.
Global Dust Cycle and Direct Radiative Effect in E3SM Version 1: Impact of Increasing Model Resolution
Authors: Feng Y. , Wang H. , Rasch P. J. , Zhang K. , Lin W. , Tang Q. , Xie S. , Hamilton D. S. , Mahowald N. , Yu H.
Published: June 2022

Quantification of dust aerosols in Earth System Models (ESMs) has important implications for water cycle and biogeochemistry studies. This study examines the global life cycle and direct radiative effects (DREs) of dust in the U.S. Department of Energy's Energy Exascale Earth System Model version 1 (E3SMv1), and the impact of increasing model resolution both horizontally and vertically. The default 1° E3SMv1 captures the spatial and temporal variability in the observed dust aerosol optical depth (DAOD) reasonably well, but overpredicts dust absorption in the shortwave (SW). Simulations underestimate the dust vertical and long‐range transport, compared with the satellite dust extinction profiles. After updating dust refractive indices and correcting for a bias in partitioning size‐segregated emissions, both SW cooling and longwave (LW) warming of dust simulated by E3SMv1 are increased and agree better with other recent studies. The estimated net dust DRE of −0.42 Wm−2 represents a stronger cooling effect than the observationally based estimate −0.2 Wm−2 (−0.48 to +0.2), due to a smaller LW warming. Constrained by a global mean DAOD, model sensitivity studies of increasing horizontal and vertical resolution show strong influences on the simulated global dust burden and lifetime primarily through the change of dust dry deposition rate; there are also remarkable differences in simulated spatial distributions of DAOD, DRE, and deposition fluxes. Thus, constraining the global DAOD is insufficient for accurate representation of dust climate effects, especially in transitioning to higher‐ or variable‐resolution ESMs. Better observational constraints of dust vertical profiles, dry deposition, size, and LW properties are needed.
Evaluation of Modeled Hyperspectral Infrared Spectra Against All‐Sky AIRS Observations Using Different Cloud Overlap Schemes
Authors: Le Tianhao , Natraj Vijay , Braverman Amy J. , Yung Yuk L.
Published: June 2022

Hyperspectral infrared sounding contains information about clouds, which plays an important role in modulating Earth's climate. However, there is a great deal of uncertainty in modeling the radiative effect of clouds due to its complex dependence on various parameters. Therefore, cloudy scenarios are often neglected in retrievals of infrared spectral measurements and in data assimilation. One‐dimensional radiative transfer (RT) models have a limited capability to represent the cloud three‐dimensional multilayer structure. This issue is typically resolved by using a multiple independent column approach, which is computationally demanding. Therefore, it is necessary to find a balance between computational speed and accuracy for infrared RT all‐sky radiance simulations. In this study, we utilize the Community Radiative Transfer Model with four different cloud overlap schemes and compare against observations made by the Atmospheric Infrared Sounder (AIRS) using a statistical metric called the first Wasserstein distance. Our results show that the average cloud overlap scheme performs the best and successfully predicts the overall probability distribution of brightness temperature over nonfrozen oceans for a wide range of wavelengths. The mean absolute differences are less than 0.7 K for 846 selected AIRS channels between 790 cm−1 and 1231 cm−1.