bluuebunny/crossref_metadata_2025_split huggingface dataset:
What do we know about the intersection of being blind and being Māori in Aotearoa New Zealand? Taking an applied community psychology approach to a systematic review of the published literature
Authors: Graham Rebekah , Masters‐Awatere Bridgette , Cowan Chrissie 
Published: May 2023

AbstractSelf‐determination and dignity are guaranteed rights for disabled persons under the United Nations Convention on the Rights of Persons with Disabilities. However, such rights have been slow to eventuate for Māori (Indigenous people of Aotearoa New Zealand). This paper brings together systematic fashion publications that currently exist regarding blindness and Māori, centring throughout Māori understandings of disability and blindness. We employed a structured approach alongside PRISMA protocols and reflexive dialogue. Included publications were quantitative data reviews, surveys, qualitative studies, literature reviews and works of fiction. For our analysis, we formulated a matrix that drew from Kaupapa Māori, applied community psychology and disability rights literature. This meant we made explicit where research practices included—and excluded—self‐determination, democratic participation and inclusion of both disabled and Māori. Our review highlights inconsistency across disciplines regarding self‐determination and democratic participation by both Māori and disabled key stakeholders. Our approach can be utilised across disciplines as a tool for considering the ways in which researchers uphold Indigenous self‐determination, disability rights and data sovereignty. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement.
Influence of Chirality of Benzimidazole Amine Hybrids on Inhibition of Human Erythrocytes Carbonic Anhydrase I, II and Acetylcholinesterase
Authors: Tunç Turgay , Abdurrahmanoğlu Suzan , Günel Aslıhan , Alım Zuhal , Demirel Nadir 
Published: May 2023

AbstractNovel chiral benzimidazole amine hybrids (4a–4d) were synthesized from commercially available amine [(R)‐ (+)‐phenylethylamine, (−) (S)‐(‐)‐phenylethylamine, (−) (R)‐(‐)‐cyclohexylethylamine, (S)‐(+)‐cyclohexylethylamine] and 2‐(chloromethyl)‐N‐tosyl‐1H‐benzimidazole. The synthesized compounds (4a–4d) were characterized by IR, NMR, and LC/MS analysis. The inhibitory effect of 4a–4d on human erythrocytes carbonic anhydrase I (hCA‐I), II (hCA‐II), and acetylcholinesterase (AChE) activity was investigated. For hCA‐I, the IC50 values of 4a–4d were found to be 4.895 μM, 1.750 μM, 0.173 μM, and 0.620 μM, respectively, and for hCA‐II, the IC50 values of 4a–4d were found to be 0.469 μM, 0.380 μM, 0.233 μM, 0.635 μM, respectively. Furthermore, IC50 values of 4a–4d on AChE were found as 87.5 nM, 100 nM, 26.92 nM, and 100 nM, respectively. In addition, molecular docking analysis was performed to evaluate the affinity of 4a–4d against hCA‐I, hCA‐II, and AChE and explain their binding interactions.
Antifungal and Insecticidal Activities of Selected Plant Species from Cloud Forest of Veracruz, Mexico: A Contribution to the Search of Novel Control Agents against Ambrosia Pest Complexes
Authors: Guerrero‐Analco José A. , Murrieta‐León Diana L. , Licona‐Velazquez Stefany , Monribot‐Villanueva Juan L. , Ibarra‐Juárez Luis A. , Hernández‐Cervantes Guadalupe , Ramírez‐Vázquez Mónica , Carmona‐Hernández Oscar , Lozada‐García José A. , Pucheta‐Fiscal Efraín , León‐Wilchez Yeli Y. , Martínez‐Viveros José A. , Valencia‐Mejía Erika 
Published: May 2023

AbstractThe antifungal and insecticidal activities of 34 extracts from 27 plant species were evaluated against fungal phytopathogens of the genus Fusarium and Xyleborus Scolytine ambrosia beetles involved in Fusarium dieback (FD) and laurel wilt (LW) diseases. Sixteen extracts caused mycelial growth inhibition (MGI) above 23 % at 2 mg mL−1 against F. solani, those from S. nudum and M. argyrophylla exhibited the highest MGI (57 % and 49 %, respectively). Thirteen extracts displayed significant antifungal activity against F. kuroshium, those from C. nocturnum and M. argyrophylla exhibited the highest MGI (100 % and 54.9 %, respectively). Additionally, ten plants extracts caused mortality in at least one of the beetle species tested, mainly from Solanaceae species. In the most active species, 39 phenolics were identified that may have contributed to their biological effects. This study is one of the first to report the potential of plant‐derived natural products against the causative agents of FD and LW.
Synergistic Visible Light Photocatalysis with Organocatalysis
Authors: Shen Jia‐Hao , Shi Min , Wei Yin 
Published: May 2023

AbstractIn recent years, the strategy of merging visible light photocatalysis and organocatalysis has been utilized and applied in a wide range of reactions. Taking advantage of synergistic visible light photocatalysis with organocatalysis, remarkable progress has recently been achieved in modern chemical synthesis. In these dual catalytic systems, photocatalysts or photosensitizers absorb visible light to induce their photo‐excited states which can activate unreactive substrates via electron or energy transfer mechanisms, and organocatalysts are usually employed to control the chemical reactivities of the other substrates. This review mainly focuses on the recent development of cooperative catalysis by the combination of organocatalysis and photocatalysis in recent organic synthesis.
Energieversorgung 20XX und Wasserstoff
Authors: Synwoldt Christian 
Published: May 2023

AbstractDie Dekarbonisierung aller Wirtschafts‐ und Lebensbereiche erfordert eine tiefgreifende Transformation der Energieversorgung und auch von industriellen Prozessen. Wasserstoff wird hier Sekundärenergieträger (“veredelter Strom”), zur Vermeidung Prozess‐bedingter THG‐Emissionen in Grundstoffindustrien und auch als Gegenpol zu einer fluktuierenden Stromerzeugung eingesetzt werden.
Datentransparenz in der Wasserstoffwertschöpfung
Authors: Nunez Douglas 
Published: May 2023

AbstractGrüner Wasserstoff ist essenziell, um die Energiewende zu schaffen und die Klimaziele zu erreichen. Damit Unternehmen den nachhaltigen Energieträger ideal nutzen können, benötigen sie einen transparenten Einblick in die Daten ihrer Wertschöpfungskette.
Automatisierung einer Gasdruckregel‐ und Messanlage
Authors: Landgraf Evelyn 
Published: May 2023

AbstractDie Aufgabe einer Gasdruckregel‐ und Messanlage (GDRMA) besteht darin, zwei Leitungsnetze miteinander zu verbinden und die Ventile je nach Bedarf zu öffnen und zu schließen. Die Automatisierung einer solchen Anlage ist anspruchsvoll. Rösberg zeigt, warum hier der Einsatz einer Prozessleittechnik gerechtfertigt ist und der erhöhte Aufwand zu Beginn des Projekts sich schnell amortisiert.
Polyamid statt Phenolharz
Authors: Bachmann Alexander 
Published: May 2023

AbstractFilterkerzen aus Phenolharz waren lange Zeit Standard für die Homogenisierung eines Aminkondensats, das in Beschichtungen eingesetzt wird. Der Hersteller Levaco sah sich jedoch zum Umdenken aufgefordert und setzt nun Filterkerzen aus Polyamid ein. Der Hersteller Eaton liefert dafür die Loftrex Nylon‐Filterkerzen.
Building Information Modeling in der Prozessindustrie
Authors: Gandert Etwina 
Published: May 2023

AbstractBuilding Information Modeling (BIM) in der Prozessindustrie war das zentrale Thema des VDI‐GVC Regionalgruppentreffens Rhein‐Main‐Neckar am 5. März 2023. Antworten auf die Frage “BIM in der Prozessindustrie – Quo vadis?” gaben die Referenten von Merck, BASF und Evonik mit Vorträgen über BIM‐Anwendungen in der Praxis der Chemieindustrie – vom Bau neuer Anlagen bis zur Erstellung des digitalen Zwilling von Bestandsanlagen, wobei die große Vorteile von BIM im Betrieb und in der Instandhaltung liegen.
Fernüberwachung des Ventilzustands
Authors: Anroedh Keshwar 
Published: May 2023

AbstractNicht in allen Anlagen wird das volle Potenzial der Diagnosefunktion von Stellungsreglern ausgeschöpft. Mit einer Fernüberwachung durch externe Dienstleister lassen sich die verfügbare Betriebszeit und Zuverlässigkeit von Anlage verbessern und Wartungskosten reduzieren. Die Analyse der Diagnosedaten von Ventilen erlaubt eine zuverlässige vorausschauende und kostensparende Wartung.
Maschinenausfälle entdecken bevor sie auftreten
Authors: Weidle Dominique 
Published: May 2023

AbstractVia Fernzugriff können Nutzer von vollautomatischen Aquachem‐Filterpressen nun ihre Prozesse einfach und von überall einsehen sowie Prozessdaten messen und diese auswerten. Die cloudbasierte Lösung ist eine Kombination aus Onlineprozessüberwachungs‐, Wartungs‐, Bericht‐ und Analyse‐Tool mit dem Produktionsprozesse optimiert und Betriebsstörungen reduziert werden können.
Software sorgt für Sicherheit und Effizienz
Authors: Graf‐Sauer Jasmin 
Published: May 2023

AbstractDer Industriedienstleister Infraserv Höchst investiert kontinuierlich in die Logistik‐Infrastruktur und hat für rund 35 Mio. EUR in Höchst ein neues Gefahrstofflager errichtet und mit einem modernen Datenmanagement ausgestattet.
Sicherer Umgang mit Gefahrstoffdämpfen
Authors: Sievers Sven 
Published: May 2023

AbstractDie Arbeit mit Gefahrstoffen ist in vielen Industrieunternehmen alltäglich. Testen, Trennen, Kleben, Synthetisieren sind nur einige der zahlreichen Tätigkeiten, bei denen Chemikalien zum Einsatz kommen. Die notwendigen Gefahrstoffe müssen sicher und bestenfalls direkt am Arbeitsplatz aufbewahrt werden. Die Lagerung erfolgt deshalb gesetzeskonform in brandgeschützten Sicherheitsschränken.Sicherheitsschränke. Um einen sicheren Explosionsschutz zu gewährleisten, sollten sie technisch entlüftet werden. Als kostengünstige und flexible Lösung haben sich steckerfertige Umluftfilteraufsätze in der Praxis bewährt.
ffizientere Dampferzeugung
Authors: Egginton Nigel 
Published: May 2023

AbstractIn der Prozessindustrie besteht eine effiziente und einfache Möglichkeit zum Energiesparen in der Optimierung von Dampferzeugern mit modernen Kondensatableitern. Im Gegensatz zu herkömmlichen Kondensatableitern leitet der Venturidüsen‐Kondensatableiter kontinuierlich ab und nicht in Intervallen. Das Dampfsystems ist damit effizienter und weniger störanfällig.
Nitrogen‐Doped Graphene Nanosheets for Sustainable Removal of Pharmaceutical Contaminants from Water: Kinetics and ANFIS Modeling
Authors: Sharma Jyoti , Dubey Monika , Chakrabarti Sandip , Srivastava Sanjeev Kumar , Mishra Yogendra Kumar , Bhatnagar Amit , Nigam Subhasha , Joshi Monika 
Published: May 2023

AbstractIn this work, nitrogen‐doped graphene nanosheets (NGS) were synthesized to remove diclofenac sodium (DFS) from water. The NGS exhibited 99.8 % removal efficiency, adsorption capacity of 278 mg g−1 for DFS within 30 min, and excellent reusability up to 5 cycles of adsorption. The experimental data fit well with pseudo‐second order kinetic model and Langmuir isotherm model. X‐ray photoelectron spectroscopy (XPS) and FTIR studies revealed that the carboxylic group, triazine group, graphitic‐N, and pyridinic‐N groups were involved in the adsorption of DFS. The adaptive neuro‐fuzzy inference system (ANFIS) was modeled for accurate prediction of optimizing parameters for the maximum adsorptive removal (%) of DFS by NGS. A subsequent cytotoxicity assay of NGS on a green alga Chlamydomonas sp. signified non‐toxic nature. This study suggests NGS to be a promising economic adsorbent for water remediation in resource‐poor environments to fulfill “UN‐Sustainable Development Goal‐ 6”.
Harris hawk optimization trained artificial neural network for anomaly based intrusion detection system
Authors: Narengbam Lenin , Dey Shouvik 
Published: May 2023

SummaryAn integral part of security infrastructure is detecting and identifying malicious attacks commonly found in network environments. Despite its effectiveness at identifying anomalous network behaviors, an intrusion detection system (IDS) still has a low detection rate and a high rate of false alarms. This study proposes a novel effective anomaly IDS by integrating bio‐inspired optimization techniques, Harris hawk optimization (HHO), and an artificial neural network (ANN), called HHO‐ANN. Several experiments were conducted with other methods to verify the performance and capabilities of the proposed technique. The AWID, CIDDS001, NSL‐KDD, and NSL‐KDD datasets were used to benchmark the performance of the proposed method. Popular evolutionary algorithms, such as genetic algorithm, particle swarm optimization, moth‐flame optimization, and locust swarm optimization based on ANN trainer, were implemented to validate the result. Comparison with existing methods in the literature reveals that the proposed method offers more accuracy. Simulation results confirm that the proposed method has excellent speed convergence and a high‐reliability level due to a lower risk of getting stuck in the local minima region. The proposed method achieved accuracy of 96.71%, 98.03%, 98.25%, and 97.95% for AWID, CIDDS‐001, NSL‐KDD, and UNSW‐NB15, respectively.
A robust malware traffic classifier to combat security breaches in industry 4.0 applications
Authors: Mangayarkarasi R. , Vanmathi C. , Ravi Vinayakumar 
Published: May 2023

SummaryIndustry 4.0 integrates cyber systems, physical devices, and digital networks to automate the industrial process. Many sectors aim to adopt the best practices outlined in Industry 4.0. This indicates well for the future networking of an increasing number of devices. As crucial as intelligent automation is, it is essential that it be protected. The proliferation of Internet‐enabled gadgets could raise vulnerability to a variety of threats, malware among them. Intruders see a synthesis of factors as a chance to carry out their malicious plan. Keeping sensitive data and information protected from malicious software is a high responsibility for all industries. It is critical to have both a trustworthy approach and a large dataset to work with when constructing a malware traffic classifier. Malware's capacity to elude detection by antivirus programs improves with the day. Because this malware has the potential to compromise the entire network, establishing a malware traffic classifier requires a strong approach. As the number of data increases, the classifier has a harder time distinguishing between benign and malicious network entries. As a result, weighing too many factors is a time‐consuming process. To assist with these types of real‐world challenges, we construct an effective hybrid selection component, which is subsequently followed by a neural network classifier in this research. The Malware traffic classifier provided here selects the principal feature using filter and wrapper techniques. The feature columns provided by the feature selection program are used to construct a neural network‐based binary malware classifier. The given malware traffic classification framework was tested using the MTA‐KDD'19 dataset. We set up an experiment in this investigation to examine the way different feature counts perform using a neural‐based classifier. The suggested framework achieves 96.8% accuracy while just considering the bare minimum of five features, which is a substantial increase over alternative methods.
Psychometric properties and psychological correlates of the COVID‐19 Anxiety Syndrome Scale: A comprehensive systematic review and meta‐analysis
Authors: Akbari Mehdi , Seydavi Mohammad , Babaeifard Maryam , Firoozabadi Mahsa Akbarian , Nikčević Ana V. , Spada Marcantonio M. 
Published: May 2023

AbstractCoronavirus disease‐19 (COVID‐19) has led to the demise of millions of people worldwide; additionally, it has resulted in a significant economic and mental health burden. Since the onset of the COVID‐19 pandemic, various measures have been constructed to evaluate pandemic‐related fear and anxiety. The COVID‐19 Anxiety Syndrome Scale (C‐19ASS) is a promising measure that assesses coping strategies (e.g., avoidance, checking, worrying and threat monitoring), termed ‘COVID‐19 Anxiety Syndrome’, in response to COVID‐19 fear and anxiety. The measure has been broadly welcomed, leading to its use in Brazil (Portuguese), China, Greece, Indonesia, the Philippines, Iran (Farsi), Italy, Saudi Arabia (Arabic), Turkey, the United Kingdom and the United States. To gain a better understanding of the relevance of the COVID‐19 Anxiety Syndrome, we conducted a systematic review and meta‐analysis to explore the psychological correlates and psychometric properties of the C‐19ASS. Through the analysis of a total of 17,789 individuals (age range 19–70; female = 33%–85%), the C‐19ASS demonstrated a consistent factor structure, measurement invariance across gender and acceptable reliabilities. Furthermore, a significant association with COVID‐19 anxiety, depressive symptoms, generalized anxiety, health anxiety, psychological distress and functional impairment (work and social adjustment) during the COVID‐19 pandemic was observed. When considering the Big Five personality traits, the C‐19ASS and its subscales were only significantly and negatively associated with extraversion; only the total score on the measure was associated with neuroticism. The observed effect sizes ranged from very small to medium. Given that all included studies (K = 24) were cross‐sectional, and due to the nature of the COVID‐19 Anxiety Syndrome, which may well persist after the pandemic ends, it is recommended to continue screening society for the persistence of this syndrome.
Liquid platelet‐rich fibrin in root surface biomodification during gingival recession treatment: Randomized, controlled, split‐mouth, clinical trial
Authors: Albatal Wajeha , Qasem Tarek , Tolibah Yasser Alsayed 
Published: May 2023

AbstractBackground and ObjectiveFree gingival graft (FGG) has been successfully used in the treatment of gingival recessions, as it is the most predictable technique for increasing the attached gingiva. This study aimed to evaluate the effect of liquid platelet‐rich fibrin (PRF) with FGG on root surface coverage as root surface biomodification.Materials and MethodsThe research sample consisted of 32 surgical sites in 16 patients, they had 2 bilateral recessions in the incisor area of the same dental arch, the sample was divided into 2 groups randomly, and liquid PRF was applied in the first group with the FGG (experimental group), and in the second group the FGG was applied alone (control group). Gingival recession depth (RD) and width of attached gingiva (WAG) were measured before starting, after 1, 3, and 6 months. The percentage of root coverage (RC) was calculated after 6 months. Healing Index (HI) was recorded after 1 week, 2 weeks, and 1 month.ResultsBoth groups showed a reduction in gingival RD during all follow‐up periods but the difference between both groups was not statistically significant (p > 0.05) at 1 and 3 months, whereas there were significant differences at 6 months (p = 0.001). RC was better in the liquid PRF group than in the control group, but this difference was not statistically significant (p > 0.05). The postoperative 7th and 14th days HI scores of the liquid PRF group were significantly better than the control group (p = 0.000 and p = 0.004, respectively), whereas there were no significant differences in HI scores between both groups at first month (p > 0.05).ConclusionsAccording to the results, the addition of liquid PRF to the root surface with FGG showed further development in terms of decreasing RD, increasing WAG, and accelerated wound‐healing.
Reconstruction of CoNx/NC Catalyst during Oxygen Evolution Reaction by Fe3+ Modulation for Enhanced Activity and Stability**
Authors: Xie Junliang , Wang Siyuan , Luo Haopeng , Tan Ling , Yu Zhonghao , Yu Yalin , Liu Yun , Jiang Fang , Chen Huan 
Published: May 2023

AbstractThe surface reconstruction of transition metal‐based catalysts has been demonstrated to be beneficial for oxygen evolution reaction (OER). However, regulating the activity and stability of the components derived from reconstruction is challenging. Here, a strategy of Fe3+ ion modulating the reconstruction components of CoN0.4 on a nitrogen‐doped carbon carrier(CoN0.4/NC) electrocatalyst for promoted OER activity and stability is reported. During the OER process, the cobalt nitride components on the surface of CoN0.4/NC catalyst were converted into CoOOH and Co4+ species. The addition of Fe3+ stabilized the CoOOH phase and facilitated the formation of Fe‐CoOOH active phase, enhancing the activity and stability of CoN0.4/NC. The Fe10‐CoN0.4/NC catalyst achieved a current density of 10 mA cm−2 at a low overpotential of 300 mV (vs. RHE) with a Tafel slope of 68.12 mV dec−1. The overpotential of Fe10‐CoN0.4/NC was 122 mV lower than that of the CoN0.4/NC catalyst and was comparable to commercial RuO2 catalyst. This study develops a novel technology for regulating the production of reconstructed species using Fe3+ ions.
Hybrid electrodes effective for both electrowetting‐ and dielectrowetting‐driven digital microfluidics
Authors: Geng Hongyao , Cho Sung Kwon 
Published: May 2023

AbstractElectrowetting on dielectric (EWOD) and dielectrowetting (DEW) are two major principles to drive droplets in digital microfluidics. EWOD is effective to manipulate (create, transport, split, and merge) conductive droplets being currently used for many biological, chemical, and optical applications. DEW can also manipulate droplets but more efficiently with dielectric (nonconductive) fluids. A digital microfluidic platform efficiently operable by both EWOD and DEW would offer higher versatility in handling a wide range of fluids, regardless of their conductivities. In this regard, this article presents a new hybrid electrode design enabling EWOD and DEW to drive various kinds of droplet fluids on a single platform. In addition, a slippery liquid‐infused surface (SLIPS) is integrated with the hybrid electrodes. The SLIPS is well known to resist biofouling and repel sticky fluids, which endows the hybrid electrodes with much wider application spectra. As a result, the present SLIPS‐integrated hybrid electrodes facilitate actuating various kinds of fluids which would not be driven by conventional EWOD and/or DEW electrodes. This paper presents the successful transportation of not only conductive fluids including water, protein solution, glycerol, and honey but also nonconductive fluids including dodecane, silicone oil, and light and heavy crude oil, all driven by the SLIPS‐integrated hybrid electrodes. The performance comparisons among solid, interdigitating, and hybrid electrodes are made by testing both conductive and nonconductive droplets.