bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of time management interventions on mental health and wellbeing factors: A protocol for a systematic review
Authors: Young Anna Navin , Bourke Aoife , Foley Sarah , Di Blasi Zelda 
Published: March 2024

Background
Poor employee mental health and wellbeing are highly prevalent and costly. Time-related factors such as work intensification and perceptions of time poverty or pressure pose risks to employee health and wellbeing. While reviews suggest that there are positive associations between time management behavior and wellbeing, there is limited rigorous and systematic research examining the effectiveness of time management interventions on wellbeing in the workplace. A thorough review is needed to synthesize time management interventions and their effectiveness to promote employee mental health and wellbeing.

Method
A systematic search will be conducted using the following databases: PsychINFO via OVID (1806-Present), Web of Science, Scopus via Elsevier (1976-Present), Academic Search Complete (EBSCO), Cochrane Library via Wiley (1992-Present), and MEDLINE via OVID (1946-Present). The review will include experimental and quasi-experimental studies that evaluate the effects of time management interventions on wellbeing outcomes on healthy adults in a workplace context. Only studies in English will be included. Two authors will independently perform the literature search, record screening, data extraction, and quality assessment of each study included in the systematic review and meta-analysis. Data will be critically appraised using the Cochrane risk-of-bias tools. Depending on the data, a meta-analysis or a narrative synthesis will be conducted. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed in the development of this protocol. The protocol has been registered in PROSPERO (CRD4202125715).

Discussion
This review will provide systematic evidence on the effects of time management interventions on wellbeing outcomes in the workplace. It will contribute to our understanding of how time management approaches may help to address growing concerns for employee mental health and wellbeing.
Health status of transgender people globally: A systematic review of research on disease burden and correlates
Authors: Scheim Ayden I. , Rich Ashleigh J. , Zubizarreta Dougie , Malik Mannat , Baker Kellan E. , Restar Arjee J. , van der Merwe Leigh Ann , Wang June , Beebe Bianca , Ridgeway Kathleen , Baral Stefan D. , Poteat Tonia , Reisner Sari L. 
Published: March 2024

Background and objectives
Transgender and gender diverse (trans) health research has grown rapidly, highlighting the need to characterize the scientific evidence base. We conducted a systematic review of peer-reviewed research on disease burden and correlates in trans adolescents and adults over a 20-month period to identify knowledge gaps and assess methodological characteristics including measurement of gender identity, community engagement, and study quality.

Data sources, eligibility criteria, and synthesis methods
We searched seven databases using terms related to (a) transgender populations and (b) health or disease. Eligible studies were in English, French, or Spanish and reported original quantitative data on mental health or substance use conditions, infectious diseases, or non-communicable conditions in at least 25 trans individuals aged 15+. Quality assessment was performed in duplicate on a 10% sample of articles and findings were summarized using narrative synthesis.

Results
The 328 included studies were conducted in 45 countries, with most from North America (54%) and limited research from South Asia (3%), Sub-Saharan Africa (3%), and the Middle East and North Africa (2%). Most studies used cross-sectional designs (73%) and convenience sampling (65%). Only 30% of studies reported any form of community engagement. Mental health and substance use disorders were the most studied area (77% of studies) and non-communicable conditions the least (16%). Available data indicated that trans populations experience high disease burden with considerable heterogeneity within and across settings. Of 39 articles assessed for quality, 80% were rated as fair, 18% as poor, and 3% as good quality.

Conclusions and implications
Geographic, gender-specific, and topical gaps remain in trans health, but we found more research from African countries, with transmasculine people, and on non-communicable conditions than previous syntheses. Areas for growth in trans health research include community engagement, non-binary health, chronic and age-related conditions, and health determinants.

Registration
PROSPERO CRD42021234043.
Characterizing major depressive disorder and substance use disorder using heatmaps and variable interactions: The utility of operant behavior and brain structure relationships
Authors: Vike Nicole L. , Bari Sumra , Kim Byoung Woo , Katsaggelos Aggelos K. , Blood Anne J. , Breiter Hans C. ,   on behalf of the Massachusetts General Hospital Phenotype Genotype Project
Published: March 2024

Background
Rates of depression and addiction have risen drastically over the past decade, but the lack of integrative techniques remains a barrier to accurate diagnoses of these mental illnesses. Changes in reward/aversion behavior and corresponding brain structures have been identified in those with major depressive disorder (MDD) and cocaine-dependence polysubstance abuse disorder (CD). Assessment of statistical interactions between computational behavior and brain structure may quantitatively segregate MDD and CD.

Methods
Here, 111 participants [40 controls (CTRL), 25 MDD, 46 CD] underwent structural brain MRI and completed an operant keypress task to produce computational judgment metrics. Three analyses were performed: (1) linear regression to evaluate groupwise (CTRL v. MDD v. CD) differences in structure-behavior associations, (2) qualitative and quantitative heatmap assessment of structure-behavior association patterns, and (3) the k-nearest neighbor machine learning approach using brain structure and keypress variable inputs to discriminate groups.

Results
This study yielded three primary findings. First, CTRL, MDD, and CD participants had distinct structure-behavior linear relationships, with only 7.8% of associations overlapping between any two groups. Second, the three groups had statistically distinct slopes and qualitatively distinct association patterns. Third, a machine learning approach could discriminate between CTRL and CD, but not MDD participants.

Conclusions
These findings demonstrate that variable interactions between computational behavior and brain structure, and the patterns of these interactions, segregate MDD and CD. This work raises the hypothesis that analysis of interactions between operant tasks and structural neuroimaging might aide in the objective classification of MDD, CD and other mental health conditions.
Unravelling Factors Influencing the Mutually Agreed Solution in International Trade Disputes: An Empirical Exploration Based on WTO Disputes
Authors: Tao Christina Siyu , Shen Qi 
Published: March 2024

Abstract
This study explores the factors influencing the achievement of a mutually agreed solution (MAS) in international trade disputes, drawing insights and patterns from the WTO dispute experience. Through an in-depth examination of prevailing literature and compliance theories, the research pinpoints various factors that impact the achievement of MAS in WTO disputes, including the dynamics of economic size, experience in WTO litigation, reputation as a respondent, and costs in time. The results, obtained through a probit model, reveal the significance of economic size in achieving MAS, where the complainant’s GDP surpasses that of the respondent but not the per capita GDP and trade ratio. Originally, this study discloses that experience in WTO litigation as a disputing party and reputation as the respondent also influence the willingness to settle amicably. While this research primarily centres on the WTO, its findings, derived from WTO data, have broader implications. The identified factors are not only pertinent to WTO members but also hold relevance for solving trade disputes between states. Recognizing these factors is crucial for policymakers across different trade platforms to devise strategies that bolster collaboration and elevate the efficacy of their respective dispute-resolution mechanisms. By illuminating the complexities of the decision-making processes in achieving MAS, this study offers invaluable insights. These insights are instrumental for all stakeholders involved in trade disputes, guiding them towards forging consensus-driven solutions that uphold the principles of just and balanced international trade.
Revisiting N waiting to happen: word, construction, and corpus choices in a collostructional analysis
Authors: Newman John 
Published: March 2024

Abstract
In undertaking any collostructional analysis, a researcher must make decisions concerning the properties of words, constructions, and corpora. Each of these crucial aspects of the analysis can be dealt with in alternative ways: words can be investigated as either lemmas or inflected forms; a construction can be characterized in alternative ways (reliance on semantics or syntax or some combination thereof, the span of the construction, etc.); the choice of corpus (or corpora) will be influenced by whether a researcher has an interest in different genres and varieties, whether the study is synchronic or diachronic, etc. I review various ways in which a researcher’s decisions about words, constructions, and corpora are relevant to a corpus-based study of N waiting to happen, referencing throughout the collostructional analysis of this construction by Stefanowitsch and Gries. The approach adopted here can be seen as supplementing Stefanowitsch and Gries’ original collostructional analysis. It illustrates how multifarious the results of a corpus-based study of constructions can be and serves as a reminder that no one corpus-based measure can possibly answer all the questions linguists might reasonably ask about a construction.
Corrosion characteristics of in situ hybrid (Al3Ni + Al2O3)/Al composites synthesized by the solid-state combustion
Authors: Xue Jing , Yu Xiaojie , Yao Mingxiao , Su Fei , Yang Jin , Gong Jianbao , Huang Haijun 
Published: March 2024

Abstract
In this study, in situ hybrid (Al3Ni + Al2O3)/Al composites were prepared successfully by the solid-state combustion via Al–NiO system. The effects of Al3Ni + Al2O3 on the corrosion features of composites were analyzed using potentiodynamic polarization, electrochemical impedance spectroscopy, and immersion corrosion in 3.5 wt% NaCl solution. The results show that with the increase of NiO addition, the corrosion resistance of composites is improved, and the corrosion resistance of 15 % NiO–Al composite is almost comparable to the Al matrix. The increased quantity and dispersive distribution of Al3Ni and Al2O3 particles can effectively prevent the occurrence of corrosion and the movement of free electrons. Besides, more fine Al2O3 particles distributed in grain boundaries can increase the impedance and hinder the electrochemical corrosion preferentially starting at the boundary. Also, in the composite with high NiO addition, a better and compact interface bonding can be formed due to reduction of large size Al3Ni particles and improvement in the dispersion of particles, thereby inhibiting interface damage. This study has advanced understanding of corrosion.
Beratung gegen Rassismus: Zwischen bewegungsorientiertem Antirassismus und Staatslogik
Authors: Pöggel Tanita Jill 
Published: March 2024

Zusammenfassung
Der Artikel analysiert die Transformation des Antirassismus im Kontext staatlicher (Förder-)Programme zur Rassismusbekämpfung und -prävention. Hierfür wird das Konzept einer „transitional public sphere“ mobilisiert, die als Schnittstelle zwischen staatlicher Politik und sozialen Bewegungskontexten fungiert. Als Beispiel dienen rassismuszentrierte Beratungsstrukturen, die seit den späten 1990er Jahren ein komplexes Netzwerk bilden und seit den 2000er Jahren verstärkt staatlich gefördert werden. Der Artikel beleuchtet die Bedingungen, Möglichkeiten und Grenzen dieser staatlich-zivilgesellschaftlichen Schnittstellenarbeit und diskutiert zwei Strukturprobleme dieser Entwicklung.
Sentiment analysis model for cryptocurrency tweets using different deep learning techniques
Authors: Nair Michael , Abd-Elmegid Laila A. , Marie Mohamed I. 
Published: March 2024

Abstract
Bitcoin (BTC) is one of the most important cryptocurrencies widely used in various financial and commercial transactions due to the fluctuations in the price of this currency. Recent research in large data analytics and natural language processing has resulted in the development of automated techniques for assessing the sentiment in online communities, which has emerged as a crucial platform for users to express their thoughts and comments. Twitter, one of the most well-known social media platforms, provides many tweets about the BTC cryptocurrency. With this knowledge, we can apply deep learning (DL) to use these data to predict BTC price variations. The researchers are interested in studying and analyzing the reasons contributing to the BTC price’s erratic movement by analyzing Twitter sentiment. The main problem in this article is that no standard model with high accuracy can be relied upon in analyzing textual emotions, as it represents one of the factors affecting the rise and fall in the price of cryptocurrencies. This article aims to classify the sentiments of an expression into positive, negative, or neutral emotions. The methods that have been used are word embedding FastText model in addition to different DL methods that deal with time series, one-dimensional convolutional neural networks (CONV1D), long-short-term memory networks (LSTMs), recurrent neural networks, gated recurrent units, and a Bi-LSTM + CONV1D The main results revealed that the LSTM method, based on the DL technique, achieved the best results. The performance accuracy of the methods was 95.01, 95.95, 80.59, 95.82, and 95.67%, respectively. Thus, we conclude that the LSTM method achieved better results than other methods in analyzing the textual sentiment of BTC.
Ectopic lingual thyroid with subclinical hypothyroidism in children
Authors: An Se Jin , Cho Min Hyung , Shim Young Suk , Lee Hae Sang , Hwang Jin Soon 
Published: March 2024

Abstract

Objectives
Lingual thyroid is a rare condition that affects approximately 1 in 100,000 individuals. Although it is usually detected in the pediatric population through newborn screening tests or evaluation of congenital hypothyroidism, there are cases in which it remains undetected until adulthood or until symptoms arise because of glandular enlargement. The possible symptoms of lingual thyroid include foreign body sensation in the throat, dysphagia, dyspnea, and hemorrhage. Several cases of lingual thyroid are asymptomatic and accompanied by subclinical hypothyroidism. Herein, we present three cases of lingual thyroid treated with thyroid hormone suppressive therapy.

Case presentation
The three patients sought medical attention because of a sore throat or foreign body sensation in the throat. Their newborn screening tests and developmental histories were normal. These patients exhibited subclinical hypothyroidism and were treated with hormone suppression therapy.

Conclusions
Patients with lingual thyroid frequently exhibit subclinical hypothyroidism. Hormone treatment may help to reduce the size of the ectopic thyroid and improve symptoms. If an increase in size is noted during follow-up or symptoms do not improve, surgical treatments may be considered.
The crystal structure of 1-(2-chlorobenzyl)-3-(3-chlorophenyl)urea, C14H12Cl2N2O
Authors: Li Xiaohua , Yang Yang , Dang Xiaolin , Tang Wenqiang 
Published: March 2024

Abstract
C14H12Cl2N2O, orthorhombic, P212121 (no. 19), a = 8.5344(8) Å, b = 12.0204(16) Å, c = 13.4504(13) Å, V = 1379.8(3) Å3, Z = 4, R

gt
(F) = 0.0896, wR

ref
(F
2) = 0.2327, T = 293 K.
Utilization of zein nano-based system for promoting antibiofilm and anti-virulence activities of curcumin against Pseudomonas aeruginosa
Authors: Badr-Eldin Shaimaa M. , Aldawsari Hibah Mubarak , Ahmed Osama A. A. , Kotta Sabna , Abualsunun Walaa , Eshmawi Bayan A. , Khafagy El-Sayed , Elbaramawi Samar S. , Abbas Hisham A. , Hegazy Wael A. H. , Seleem Noura M. 
Published: March 2024

Abstract
Bacterial biofilms contribute to increased pathogenesis and bacterial resistance. Biofilms can enhance pathogenicity by shielding bacteria from the immune system and antibiotics, and they are associated with persistent infections. Additionally, the antibiotic resistance mechanisms within biofilms make them challenging to treat, emphasizing the need for strategies to be addressed. Mitigating bacterial virulence is a promising strategy that could ease their eradication by host immunity without stressing bacteria to induce resistance. The merits of this strategy are augmented when using safe anti-virulence candidates in proper formulations. The current study aimed to evaluate the antibiofilm and anti-virulence efficacy of curcumin–zein nanoparticles against Pseudomonas aeruginosa. In vitro investigations were performed to assess the effect of nanoparticles on biofilm formation, bacterial motility, and production of virulence factors, including proteases, hemolysins, and pyocyanin, in comparison to bulk curcumin. Furthermore, the effect on the expression of the genes that encode quorum sensing (QS) systems that regulate bacterial virulence was assessed. An in silico study was done to evaluate the affinity of curcumin to QS receptors. Additionally, an in vivo protection assay was performed to evaluate the inhibitory effect of our preparation on diminishing the P. aeruginosa’s capacity to induce pathogenesis. The results showed significant antibiofilm and anti-virulence activities of the curcumin–zein nanoparticles compared to bulk curcumin. These anti-virulence activities were attributed to the curcumin’s interfering with the P. aeruginosa QS systems that regulate its virulence. In conclusion, curcumin acquires significant anti-QS, anti-virulence, and antibiofilm activities that are vastly enhanced upon loading on zein nanoparticles.
Micelle-based nanoparticles with stimuli-responsive properties for drug delivery
Authors: Maboudi Amir Hosein , Lotfipour Mitra Hosseini , Rasouli Milad , Azhdari Mohammad H. , MacLoughlin Ronan , Bekeschus Sander , Doroudian Mohammad 
Published: March 2024

Abstract
Cancer treatment often causes adverse effects and toxicity, as chemotherapy drugs affect both cancerous and healthy cells. Scientists seek to target tumor cells specifically and minimize harm to normal cells. Smart nanoparticles (NPs) are a modern technique that can release drugs when triggered by internal or external stimuli, such as temperature, pH, ultrasound, etc. This review covers stimuli-responsive micelle-based nanoparticles (SRM-NPs), a promising drug delivery platform that can enhance drug efficacy and reduce toxicity. It discusses the recent developments and applications of SRM-NPs, their responsiveness to different stimuli, and their potential to overcome drug resistance and adaptive responses. It also addresses the challenges and issues related to their stability, reproducibility, biocompatibility, safety, and optimization. The study concludes that SRM-NPs have great potential for drug delivery, but more research and development are needed to improve their clinical utility.
Textile-based strain sensors for fiber-reinforced composites under tension, compression and bending
Authors: Le Xuan Hung , Cherif Chokri 
Published: March 2024

Abstract
This research addresses the challenging task of monitoring the structural integrity of fiber-reinforced composite (FRC) components under complex loading conditions. Ensuring the safety and functionality of these components is critical but economically challenging. Therefore, this study presents an innovative approach using textile-based strain sensors that are cost-effective and structurally compatible with carbon fiber-reinforced plastic (CFRP) components. The investigation includes the systematic electromechanical characterization and comparison of four different sensor materials at the yarn and composite scale in various test scenarios. Cyclic tensile, compression, and bending tests of CFRP specimens are performed and show good reproducibility of sensor signals within the elastic range, with significant agreement observed with applied strain measurement methods, particularly in tensile tests. Although there are minor deviations in compression and bending evaluations, the signals are still meaningful for in-situ detection of complex loading patterns, crack initiation, and structural failure. The study demonstrates that the integration of textile-based sensor yarns allows for continuous structural health monitoring (SHM) of CFRP components under various loading scenarios, including tensile, bending, and especially compressive loads.
Untersuchung der Blasendynamik von Flüssigkeitskavitation im Schmierfilm eines hydrodynamischen Gleitlagers
Authors: Schmidt Marcus , Beckmann Tom 
Published: March 2024

ZusammenfassungIn hydrodynamischen Gleitlagern kann im Schmierfilm unter gewissen Betriebsbedingungen Flüssigkeitskavitation auftreten. Die Flüssigkeitskavitation lässt sich in drei Kavitationsformen unterscheiden: Pseudo-, Gas- und Dampfkavitation. Lediglich Dampfkavitation kann in Verbindung mit Werkstoffkavitation zum Schaden und später zum Ausfall eines Gleitlagers führen. Eine mögliche Ursache zur Entstehung von Dampfkavitation liegt in der Dynamik der Spaltweitenänderung einer Wellenverlagerungsbahn begründet. Die Autoren haben den erstmaligen Nachweis von implodierenden Dampfblasen im Schmierfilm eines Gleitlagers in Folge einer transienten Spaltweitenänderung vollumfänglich erbracht. Zum Erzeugen der schadensrelevanten Dampfkavitation muss eine kritische Spaltweitenänderungsgeschwindigkeit in Verbindung mit einer kritischen Exzentrizität erreicht werden. Für diese Untersuchungen steht ein Gleitlager-Modellexperiment zur Verfügung, welches kontinuierlich erweitert wurde und so dem Stand der Forschung entspricht. Es ist somit möglich, kavitierende Schmierspaltströmungen sowohl qualitativ als auch quantitativ zu untersuchen. Das Modellexperiment verfügt über eine Aktorik, die eine gezielte Steuerung der Spaltweitenänderungsgeschwindigkeit zulässt und so die Kavitationsbereiche einer realen Wellenverlagerungsbahn abbildet. Das Experiment beinhaltet ein speziell entwickeltes Fluid, dass die Reynolds- und Kavitationsähnlichkeit erfüllt. Bei der Untersuchung von Flüssigkeitskavitation muss sowohl das Verdampfen der Flüssigkeit (Dampfkavitation), das Ausgasen von Luft (Gaskavitation) sowie das Vorhandensein kleinster Luftblasen (Pseudokavitation) experimentell abgebildet werden. Dies wird u. a. durch die Verwendung von konditionierten Flüssigkeiten realisiert. Abhängig vom Betriebspunkt des Gleitlagers, treten die drei Kavitationsformen separat als auch in Verbindung miteinander auf. Das gleichzeitige Auftreten reduziert, je nach Anteil der Kavitationsformen, die Kavitationserosion, indem sie die schädigungsrelevante Dampfkavitation dämpft. Das übergeordnete Forschungsziel ist es einen Parameterbereich zu definieren, in dem eine kritische Spaltweitenänderung mit einer kritischen Exzentrizität zur „reinen“ Dampfkavitation führt. Damit soll der schadenskritische Parameterbereich eingegrenzt werden. Dies soll zukünftig bei der Auslegung und Parametrisierung von hydrodynamischen Gleitlagern helfen. Die gezeigten experimentellen Ergebnisse umfassen Hochgeschwindigkeitsaufnahmen, die eine detaillierte Analyse der Blasenbildung mit einer Geschwindigkeit von 10.000 Bildern pro Sekunde (fps) ermöglichen. Es lässt sich zusammenfassen, dass die Arbeit ein tieferes Verständnis für den Kavitationsprozess in dynamisch belasteten Gleitlagern erbringt. Das Forschungsvorhaben wurde gefördert durch die Deutsche Forschungsgemeinschaft (DFG) unter der Projektnummer 462581008.