bluuebunny/crossref_metadata_2025_split huggingface dataset:
Community knowledge, attitudes, and practices on the use of plants to control mosquitoes: the case of Arjo Gudatu District, East Wollega Zone, Oromia Regional State, Ethiopia
Authors: Tesfaye Lensa , Aklilu Esayas , Tolossa Ketema , Animut Abebe 
Published: July 2024

Abstract

Background
Mosquitoes in the genera Anopheles and Aedes transmit human malaria and several viral diseases, respectively. Insecticide-based mosquito control, most notably indoor residual insecticide spraying and long-lasting insecticide-treated mosquito net use, has been proven to effectively reduce malaria incidence and prevalence. However, its effectiveness is being threatened due to the resistance of its vectors to insecticides. Furthermore, synthetic insecticides have adverse impacts on the environment, ecological balance, and human health. To address these and the increasing threat of mosquito-transmitted diseases, safe, effective, and locally available control strategies are needed.
Objective
The knowledge, attitudes, and practices of the inhabitants of Arjo Gudatu District on the use of plants to control mosquitoes were assessed.
Materials and Method
A descriptive cross-sectional study was carried out among the residents of Mada Jalala, Karsa Dako, and Lalisa Dimtu kebeles (the lowest level of administrative structure) in Arjo Gudatu District, Oromia Regional State, Ethiopia. Households were selected through systematic random sampling and interviewed using a questionnaire developed for this purpose. The data were collected through house-to-house interviews, checked for completeness and consistency, subsequently entered into SPSS version 25, cleaned, and analyzed.
Results
Among the 398 household representatives who participated in the interviews, 63.5% (253/398) perceived that plants are used to control mosquitoes. Approximately 75% (190/253) used plants to control mosquitoes, and 79% (200/253) had good attitudes toward the plants. Plant smoking was the most commonly cited practice for killing and repelling adult mosquitoes. Securidaea longes pedunculate 31/253 (12%) was the most frequently cited plant to have repellent, adulticidal and larvicidal activities, followed by Echinops sphaerocephalus L 28/253 (11%) and Millettia ferruginea (Hochst. ex nees) tender 9/253(3.5).
Conclusion
Millettia ferruginea (Hochst. ex nees) tander, Securidaea longe pedunculate, and Echinops sphaerocephalus L. are the plants most commonly used for the control of mosquitoes. The plants were treated with adulticides, larvicides, and repellents in the traditional control of mosquitoes.
Recent Atlantic overturning inferred from air-sea heat fluxes dominated by decadal variability rather than trend
Authors: Terhaar Jens , Vogt Linus , Foukal Nicholas 
Published: July 2024

Abstract

The evolution of the Atlantic Meridional Overturning Circulation (AMOC) is crucial for global ocean carbon and heat uptake, and controls the climate around the North Atlantic. Despite its importance, quantifying the AMOC’s past changes and assessing its vulnerability to climate change remains highly uncertain. Understanding past AMOC changes has relied on proxies, most notably sea surface temperature anomalies over the subpolar North Atlantic. Here, we use 24 Earth System Models from CMIP6 to demonstrate that these temperature anomalies cannot reconstruct the AMOC. Instead, we find that air-sea heat flux anomalies north of any given latitude in the North Atlantic between 26.5°N and 50°N are tightly linked to the AMOC anomaly at that latitude on decadal and centennial timescales. On these timescales, air-sea heat flux anomalies are strongly linked to AMOC-driven northward heat flux anomalies through the conservation of energy. On annual timescales, however, air-sea heat flux anomalies are mostly altered by atmospheric variability and less by AMOC anomalies. Based on the here identified relationship and observation-based estimates of the past air-sea heat flux in the North Atlantic from reanalysis products, the decadal averaged AMOC at 26.5°N has not weakened from 1963 to 2017 although substantial variability exists at all latitudes.
Regional Industrial Structure Upgrading, Labor Heterogeneity and the Cost of Living in China
Authors: Wang Weijia , Xing Zhengzheng 
Published: July 2024

Abstract

This paper applies Chinese provincial panel data from 2001–2015 to conduct an empirical study to investigate the differential impact of China's regional industrial structure upgrading on labor force heterogeneity by constructing a task-theoretic model, and the results show that regional industrial structure upgrading exhibits a significant growth trend in the demand for the senior labor force, whereas the demand for the intermediate and junior labor force demonstrates a certain negative impact. To further analyze the influence path and take into account regional heterogeneity in China, especially in the eastern coastal region, the cost of living variable is further introduced as a cross-multiplier term for the analysis due to the higher cost of living in the region, and the results show that the increase in the cost of living reduces the overall demand for the labor force, which not only is not conducive to the optimization and upgrading of the local industrial structure but also impedes the sustained development of the economy. Based on this, this study proposes corresponding policy recommendations: by upgrading the education and skill levels of the primary labor force, the demand for labor can be effectively increased, thus solving the structural contradiction of employment in China; at the same time, by lowering the cost of living and providing subsidies for renting or purchasing houses, more talent can be attracted to provide solid human resource support for the upgrading of the regional industrial structure.
Congenital Aortic Arch Abnormality in Tetralogy of Fallot: A Rare Case Report
Authors: Shetty Rakshand , S Madhu C , Uppin Akash , Sachdev Rupali 
Published: July 2024

Abstract

A 4-year-old male child was referred to the paediatrics department of our hospital from an Anganwadi with complaints of easy fatiguability compared to peers, dyspnea on normal exertion and refusal to feed for 10 days. There was no history of palpitation, bluish discolouration, pedal edema, abdominal distention, cough, or orthopnoea. On auscultation, a grade 2 end systolic murmur was heard. Full blood count revealed a Hb 10 g/dl, MCV 67.2 fL, MCH 20.9, and HCT 32.1%. Liver and kidney function tests were within normal limits. However, the Total T3 (2.85 nmol/L) and TSH were elevated (9.30 mmol/L).
Chest X-ray indicated cardiomegaly with right ventricular enlargement with clear lung fields and pleural spaces. ECG further showed right axis deviation and enlargement of the right ventricle. He was diagnosed with Tetralogy of Fallot on 2D Echo, having confluent good-sized pulmonary arteries (Macgoon’s ratio: 1:4), large malaligned VSD with BD shunt, severe valvular and sub-pulmonary annular stenosis. These findings were further confirmed on MDCT Chest with Pulmonary Angiography. Furthermore, Bilateral anomalous origin of both right and left vertebral arteries from the arch of aorta was also observed. Later the patient was scheduled for elective surgical repair. Sauvage patch closure of VSD was done with 5-O continuous prolene sutures followed by reconstruction of the RVOT by augmenting it with a pericardial patch.
The postoperative course was uneventful with minimal drainage. The patient was discharged on Injection Ceftumand Injection Lefoflox with infective endocarditis prophylaxis.
In this case, we aimed to discuss the diagnostic implications of variations in the aortic arch with a special focus on the imaging and approach to the management.
Secure metric dimension of new classes of graphs
Authors: Batiha Iqbal M. , Mohamed Basma , Jebril Iqbal H. 
Published: July 2024

The metric representation of a vertex v of a graph G is a finite vector representing distances of v with respect to vertices of some ordered subset S⊆V (G). If no suitable subset of S provides separate representations for each vertex of V(G), then the set S is referred to as a minimal resolving set. The metric dimension of G is the cardinality of the smallest (with respect to its cardinality) minimal resolving set. A resolving set S is secure if for any v∈V–S, there exists x∈S such that (S–{x})∪{v} is a resolving set. For various classes of graphs, the value of the secure resolving number is determined and defined. The secure metric dimension of the graph classes is being studied in this work. The results show that different graph families have different metric dimensions.
Soft sensor for substrate characterization through the reverse application of the ADM1 model for anaerobic digestion plant operations
Authors: Zorrilla Fernando , Sadino-Riquelme Ma. Constanza , Hansen Felipe , Donoso-Bravo Andrés 
Published: July 2024

ABSTRACT

Accurately characterizing the substrate used in anaerobic digestion is crucial for predicting the biogas plant's performance. This issue makes particularly challenging the application of modeling in codigestion plants. In this work, a novel methodology called substrate prediction module (SPM) has been developed and tested, using virtual codigestion data. The SPM aims to estimate the inlet properties of the substrate based on the reverse application of the anaerobic digestion model n1 (ADM1). The results show that, while the SPM can estimate some properties of the substrate based on certain output parameters, there are limitations in accurately determining all required variables.
Impact of Tyrosine Kinase Inhibitors (TKIs) on Growth in Children and Adolescents with Chronic Myeloid Leukemia: A Systematic Review
Authors: Katsarou Dimitra , Kotanidou Eleni P. , Tsinopoulou Vasiliki Rengina , Tragiannidis Athanasios , Hatzipantelis Emmanouil , Galli-Tsinopoulou Assimina 
Published: July 2024

Background:
Chronic Myeloid Leukemia (CML) is a rare myeloproliferative disease in childhood.
Treatment in CML includes Tyrosine Kinase Inhibitors (TKIs), which inhibit the cytoplasmic kinase
BCR/ABL. Tyrosine kinases play a key role in the secretion of growth hormone and insulin-like growth factor
1 (IGF-1).

Objective:
The aim of this systematic review was to study the effect of TKIs on the growth of children and adolescents
with CML.

Methods:
English-language publications were searched in the PubMed/Cochrane library/Google Scholar
databases (2002-2023), and retrieved studies were assessed according to PRISMA-Statement and Newcastle-
Ottawa-scale.

Results:
The search strategy yielded 1066 articles. After applying the inclusion/exclusion criteria, 941 were excluded
based on title screening and 111 on abstract review. The systematic review included 14 articles (11 retrospective
observational studies/3 clinical trials). Twelve studies reported data on the prevalence of growth disorders
after the administration of 1st generation TKIs (imatinib). Two studies reported a negative effect of 2nd
generation TKIs (dasatinib/nilotinib) on physical growth. Four studies recorded a decrease in height z-score after
treatment compared to baseline. Two 1st-generation TKIs studies reported data on children's final height;
one reported restoration of final height to normal after the onset of puberty, despite initial slowing, and the final
height was lower than mid-parental target height. Serum IGF-1 levels were reported in 2 studies to be
within normal range, while in 3 studies, a significant decrease was documented. Considerable study heterogeneity
was observed related to dosage/duration of treatment/disease phase/stage of puberty/ethnicity.

Conclusion:
A negative effect of TKIs on the growth and final height of children was noted.
Antifungal Potential of Endophytic Metabolites Derived from
Staphylococcus: An In-Vitro and In-Silico Approach
Authors: Kumari Sudesh , Choudhary Pooja , Ahlawat Vaishali , Dangi Mehak , Chhillar Anil Kumar 
Published: July 2024

Introduction:
Nature is full of surprises; it gives us problems along with solutions, but
the only condition is that it needs to be explored. The ability of endophytes to tackle pathogens is
one such example that falls within the context of the current work. In the current study, we have
assessed the antifungal potential of endophytic bacterial metabolites of medicinal importance
through in-vitro and in-silico studies.

Materials and Methods:
Bioactive metabolites from Staphylococcus species, an endophytic bacterium, were extracted to assess their antifungal potential through disc diffusion assays and minimum inhibitory concentration determination. Gas Chromatography-Mass Spectroscopy characterized the diverse composition of the endophytic extracts. The interactions between these metabolites and target proteins, such as CYP51B in Aspergillus fumigatus, were revealed by in-silico
studies, which included molecular docking and dynamics simulations. This provided a thorough
understanding of the antifungal qualities inherent in endophytic bacterial metabolites.

Results:
The research findings highlighted that the zone of inhibition (ZOI) exhibited by
the crude extract from Staphylococcus endophytes (23.6±1.24 mm) is comparable to that of
the control, Voriconazole (23±0.82 mm). Additionally, the minimum inhibitory concentration
of the crude extract (0.21±0.06 mg/ml) is lower than the control (0.33±0.11 mg/ml). Notably,
among the 45 identified endophytic metabolites, Pyrrolo [1,2-a]pyrazine-1,4-dione, hexahydro-3-
(phenylmethyl), demonstrated superior inhibition efficacy against CYP51B (PDB Id: 4UYM) of
Aspergillusfumigatusascompared to Voriconazole. These findings emphasized the potential of the
identified metabolite as a promising antifungal agent.

Conclusion:
The endophytic metabolite, Pyrrolo [1,2-a]pyrazine-1,4-dione, hexahydro-3-
(phenylmethyl), showcased significant antifungal potential as a therapeutic agent against fungal
infections.
New Aspects in the Mechanism of Action of 3-hydroxy-3-methylglutaryl- COA Reductase (HMG-CoA reductase): Cyclic Lactones - Potential Inhibitors of the Enzyme (Review)
Authors: Boyarintsev D.I. , Kuzminov I.V. , Orlova M.V. 
Published: July 2024

:
The aim is to systematize data from literature sources on the study of changes in the activity
of HMGR enzymes and lipid metabolism under the influence of cyclic lactones, identify among
them new potential inhibitors of HMGR and formulate hypotheses about the details of the mechanism
of action of the enzyme in relation to the product - mevalonolactone.
Gastric Cancer - Just One Bite: Is it Enough? Comparing the Use of Seven
Biopsies with that of Only One Endoscopic Biopsy to Diagnose Advanced
Gastric Cancer
Authors: Pelosi Alexandre Dias , Luna Patricia Abrantes , de Souza e Mello Gustavo Francisco , de Oliveira Ivanir Martins , Ferreira Maria Aparecida , Thuler Luiz Claudio Santos , Lewandrowski Kai-Uwe , Fiorelli Rossano Kepler Alvim 
Published: July 2024

Background:
Gastric cancer is prevalent in the Brazilian population, with diagnosis
largely reliant on endoscopic biopsies. Current guidelines recommend a minimum of seven endoscopic biopsies. However, advances in high-definition imaging, chromoendoscopy technologies (such as narrow-band imaging [NBI]), and histopathological techniques suggest that fewer
biopsies might suffice. Validating this hypothesis could reduce the duration of examinations,
lessen the burden on pathologists, and minimize risks associated with multiple biopsies.

Methods:
This prospective study evaluated the efficacy of various biopsy strategies in diagnosing gastric lesions. A total of 106 lesions from 104 patients were examined over 14 months. The
study compared the diagnostic yield of the conventional seven biopsies (considered the gold
standard) with a single white-light biopsy, one NBI-guided biopsy, and a combination of both
white-light and NBI-guided biopsies.

Results:
When compared to the gold standard of seven biopsies, the single white-light biopsy
demonstrated a sensitivity of 90.1% (range 82.5-95.6%) and a specificity of 100% (range 47.8-
100%). The NBI-guided biopsy yielded a sensitivity of 83.2% (range 74.4-89.9%) and a specificity of 100% (range 47.8-100%). Combining both biopsy techniques achieved a sensitivity of
96.1% and a specificity of 100%.

Conclusions:
A single white-light biopsy was found to be nearly equivalent to the gold standard
of seven biopsies, using a 10% difference as the noninferiority criterion. Performing two biopsies-one conventional and one NBI-guided-provided even greater accuracy, closely approximating that of the gold standard.
Evidence-Based Practices in an Early Intervention service in Spain: the voice of families
Authors: Della Barba Patricia Carla de Souza , Cañadas Perez Margarita 
Published: July 2024

This study was carried out at the Centro de Atención Temprana y Escuela Infantil L'Alqueria, Universidad Catolica de Valencia, as part of the Observatorio Internacional de Atención Temprana y Desarrollo Infantil (International Observatory of Early Childhood Intervention and Development), and its aim was to identify the families' perceptions and role in the intervention process, the child's development, the quality of family life and their own empowerment. It involved the participation of a final sample of five families accompanied by four professionals for 11 months. The source of data used was audio recordings of the families, transcribed by the researcher, and the application of instruments before and after six months of intervention, which were analysed qualitatively. The analysis focused on the families' perceptions of the intervention process, child development, family quality of life and empowerment. The results indicate that families perceive the intervention as support, feel empowered to act in the contexts, learn strategies for child development and identify learning opportunities in their routines. Communication is valued, showing that families have a voice in the intervention process. The responses to the instruments indicate that families have a positive view of their children's development and perceive an improvement in the quality of family life. These findings point to the importance of evidence-based practices in Early Intervention.
Leadership for AI Transformation in Health Care Organization: Scoping Review
Authors: Sriharan Abi , Sekercioglu Nigar , Mitchell Cheryl , Senkaiahliyan Senthujan , Hertelendy Attila , Porter Tracy , Banaszak-Holl Jane 
Published: July 2024

Background
The leaders of health care organizations are grappling with rising expenses and surging demands for health services. In response, they are increasingly embracing artificial intelligence (AI) technologies to improve patient care delivery, alleviate operational burdens, and efficiently improve health care safety and quality.

Objective
In this paper, we map the current literature and synthesize insights on the role of leadership in driving AI transformation within health care organizations.

Methods
We conducted a comprehensive search across several databases, including MEDLINE (via Ovid), PsycINFO (via Ovid), CINAHL (via EBSCO), Business Source Premier (via EBSCO), and Canadian Business & Current Affairs (via ProQuest), spanning articles published from 2015 to June 2023 discussing AI transformation within the health care sector. Specifically, we focused on empirical studies with a particular emphasis on leadership. We used an inductive, thematic analysis approach to qualitatively map the evidence. The findings were reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews) guidelines.

Results
A comprehensive review of 2813 unique abstracts led to the retrieval of 97 full-text articles, with 22 included for detailed assessment. Our literature mapping reveals that successful AI integration within healthcare organizations requires leadership engagement across technological, strategic, operational, and organizational domains. Leaders must demonstrate a blend of technical expertise, adaptive strategies, and strong interpersonal skills to navigate the dynamic healthcare landscape shaped by complex regulatory, technological, and organizational factors.

Conclusions
In conclusion, leading AI transformation in healthcare requires a multidimensional approach, with leadership across technological, strategic, operational, and organizational domains. Organizations should implement a comprehensive leadership development strategy, including targeted training and cross-functional collaboration, to equip leaders with the skills needed for AI integration. Additionally, when upskilling or recruiting AI talent, priority should be given to individuals with a strong mix of technical expertise, adaptive capacity, and interpersonal acumen, enabling them to navigate the unique complexities of the healthcare environment.
A study of the Performance of Haier Smart under Digital Transformation
Authors: Zhang Yuchao 
Published: July 2024

In recent years, the digital boom has continued to hit, and global scientific and technological innovation has been unprecedentedly intensive and active. On the cusp of this 5G trend, emerging technologies such as artificial intelligence, cloud sharing, and big data are emerging in an endless stream, constantly impacting traditional technologies and the real economy. The fourth industrial revolution has quietly penetrated into every corner of society. Both people's lives and the economic environment have been unprecedentedly affected. As an important pillar industry in the national economic construction, how to meet the digital transformation, seize the opportunity of digital transformation, enhance product value, and create new quality productivity has become particularly important. This paper takes digital transformation as the starting point, explores the motivation and path of Haier's digital transformation in the past ten years, and evaluates its performance. The study found that Haier Smart Home's digital transformation has improved the long-term performance of enterprises; the first enlightenment is to accelerate the transformation and upgrading and improve the degree of digital attention ; second, adhere to innovation-driven, enhance digital R & D sales; third, create a digital platform to enhance the user's personalized experience. It is expected that the research in this paper can provide some reference for the digital transformation of other household appliance enterprises and bring some help to the digitization of China's household appliance manufacturing industry.