bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving Aging Mental Health Services in Developing Economies: A Socio-Ecological Approach
Authors: Mukherjee Namrata 
Published: May 2024

Abstract

For older cohorts, there is decreased synergy between social determinants of health (SDoH), a sense of personal security, and knowledge about mental health conditions. The centrality of this paper is to discuss social constraints hindering the accessibility of older adults to mental health services. This paper further conceptualizes a multistakeholder socioecological model (ScEcM) with an adaptation of the social determinants of health framework and socioecological theory of human behavior. The model will aid social workers in less developed economies in tackling the stigma surrounding mental health by involving multilevel partnerships along with a focus on interpersonal constraints. This model is built by deliberating upon the role of public policies; the importance of socioecological factors such as interactions within the community and organization; and individual help-seeking behavior and other social deterrents that influence access to mental healthcare. The five stages of the model are identification, encouragement, integration, enrollment, and incentivization, which merge community-level participation with public policy and social security to counter the social elements that influence access to mental healthcare. Through a literature review, this paper introduces a fresh approach to posit a macro socioecological model that can help social workers address mental health inaccessibility in developing economies.
Efficacy of Interceptor G2, Royal Guard and PermaNet 3.0 against pyrethroid- resistant Anopheles gambiae s.l. from Za-Kpota, Southern Benin: an experimental hut trial
Authors: Sovegnon Pierre Marie , Akoton Romaric , Stopard Isaac J. , Churcher Thomas S. , McCall Philip J. , Ranson Hilary , Foster Geraldine M. , Djogbénou Luc Salako 
Published: May 2024

Abstract

Background
Widespread use of insecticide-treated nets (ITNs) has made a major contribution to the dramatic decline in malaria cases and deaths seen across Africa in the 21st century. Unfortunately, this control strategy is threatened by the rapid spread of resistance to pyrethroid insecticides in malaria vectors. Dual-active-ingredient insecticidal nets are available to mitigate the impact of pyrethroid resistance and data is needed on the efficacy of these different nets against local mosquito populations to make evidence based decisions regarding product selection in specific use settings.
Methods
Two experimental Hut Trials were performed in Za-Kpota Southern Benin in 2021 to evaluate the performance of Interceptor G2 (BASF), Royal Guard (DCT) and PermaNet 3.0, (Vestergaard) compared to untreated or standard pyrethroid ITNs, against free-flying wild Anopheles gambiae mosquitoes. Both unwashed nets and those that had been in use for up to 2 years were assessed. Mosquitoes collected in the hut were followed up after exposure to assess the sublethal effects of treatments on certain life-history traits.
Results
The predominant species in the study site was Anopheles. gambiae s.s. Both Anopheles coluzzii and Anopheles gambiae s.s. were resistant to pyrethroids (deltamethrin susceptibility was restored by PBO pre-exposure). In experimental hut trials Royal Guard induced the highest blood-feeding inhibition (OR = 0.05; CI = 0.01–0.6; p < 0.001) relative to PermaNet 2.0. Interceptor G2 induced the highest 72 hour mortality rate (OR = 5.9; CI = 2.7–12.6; p < 0.001) compared to PermaNet 2.0. The highest risk of death in An. gambiae s.l. was observed with Interceptor G2 (HR = 6.5; CI = 5.7–7.6; p < 0.001) and PermaNet 3.0 (HR = 4.4; CI = 3.4–5.7; p < 0.001) compared to Untreated net. Lower mortality was recorded with Interceptor G2 aged compared to new Interceptor G2. Oviposition rates were low in mosquitoes collected from huts containing ITNs compared to untreated controls. No mosquitoes oviposited from huts with Royal Guad nets.
Conclusion
All of the dual active ingredient nets showed superior reductions in the survival of pyrethroid resistant An. gambiae s.s. compared to standard pyrethroid only ITNs.
Artificial Intelligence-based Cayley Menger Securex-means Clustering and Hyper Gradient Reliable Data Transmission in Wsn
Authors: Srinivasamur R , N Prameela Kumari , Tabassum Nikhath 
Published: May 2024

Abstract

WSN is a self-configured wireless network with no infrastructure which is made up of a huge number of dispersed sensors that are installed randomly. In a WSN, the sensor nodes connect wirelessly and are utilized for directing and observing the system and physical elements in a specified region. Wireless sensor nodes are interrelated to the base station which operates as WSN System's processing unit. The sensed data is shared by the WSN base station via the internet.WSN is utilized in the area of examination, processing, storage, and mining industries. Moreover, direct sensed data delivery to the sink node is a requirement in WSNs as far as large-scale networks are concerned. The utilization of clustering can permit the direct broadcast of information to the corresponding sink node, bringing about substantial energy reductions. In addition, the selection of a significant cluster head would also result in the saving of energy considerably. This proposed method develops an Artificial Intelligence-based CayleyMenger secure X-means cluster formation and Hyper Gradient DescentTrusted Neighbor Establishment (CMX- HGDTNE) for reliable data transmission. Secure cluster formation and chosen of cluster head performed by employing the Cayley–MengerSecure X-means Cluster Formation algorithm. Second Hyper Gradient Descent and Determinist Trusted Neighbor Establishment for reliable data transmission is applied to the clusters being formed via trusted neighbor identification within the clusters based on data traffic via Pearson Correlation between sensor nodes in the cluster. Experimental evaluation is carried out by several performance parameters, like, energy consumption, cluster formation time, PDR and packet drop rate. CMX-HGDTNE technique for secure cluster formation and reliable data transmission improves performances of PDR by 15%, and minimizes energy consumption by 40%, clustered time by 17% as than the conventional methods.
Synergistic Intramolecular Non-Covalent Interactions Enable Robust Pure-Blue TADF emitters
Authors: Qiao Juan , Meng Qing-Yu , Shao Haoyun , Wang Rui , Yao Chengyu , Wang Yi-Lei , Wen Xueliang , Xu Jingyi , Dai Yu 
Published: May 2024

Abstract

Stability-issues of organic light-emitting diodes (OLEDs) employing thermally activated delayed fluorescence (TADF) require further advancements, especially in pure-blue range of CIEy<0.20, existing a dilemma between color purity and device lifetime. Though improving bond-dissociation-energy (BDE) could effectively improve material intrinsic stability, strategies to sufficiently improve BDE without negative effects on photophysical performances are still lacking. Herein, we disclose that synergistic intramolecular non-covalent interactions (Intra-NI) can achieve not only the highest C-N BDE among blue TADF materials, but enhanced molecular-rigidity, near-unity photoluminescent quantum yields and short delayed lifetime. Pure-blue TADF-OLEDs based on proof-of-concept TADF material realize high external-quantum-efficiency and record-high LT80@500 cd m-2 of 109 h with CIEy=0.16. Furthermore, deep-blue TADF-sensitized devices exhibit state-of-the-art LT80@500 cd m-2 of 81 h with CIEy=0.10. Our findings provide new insight into the critical role of Intra-NI in OLED materials and open the way to tackling vexing stability issues for developing robust pure-blue organic emitters and other functional materials.
Innovative Approaches to Clinical Diagnosis: Transfer Learning in Facial Image Classification for Celiac Disease Identification
Authors: BİLGİÇ Elif KESKİN , GÖKBAY Asst.Prof.Dr. Inci ZAİM , KAYAR Assoc. Prof. Dr. Yusuf 
Published: May 2024

Abstract

Background: Celiac disease arises from gluten consumption and shares symptoms with other conditions, leading to delayed diagnosis. Untreated celiac disease heightens the risk of autoimmune disorders, neurological issues, and certain cancers like lymphoma while also impacting skin health due to intestinal disruptions.
Objective: This study uses facial photos to distinguish individuals with celiac disease from those without. Surprisingly, there is a lack of research involving transfer learning for this purpose despite its benefits such as faster training, enhanced performance, and reduced overfitting. While numerous studies exist on endoscopic intestinal photo classification and few have explored the link between facial morphology measurements and celiac disease, none has concentrated on diagnosing celiac disease through facial photo classification. Methods: This study aimed to utilize transfer learning techniques in this gap area of study to identify discernible facial differences between patients with celiac disease and healthy individuals to enable diagnosis using transfer learning. A dataset containing 100 adult facial images of individuals with or without celiac condition was utilized.
Results: By employing transfer learning techniques, the model achieved moderate accuracy (approximately 50%) when classifying facial images of patients during testing.
Conclusion: This promising outcome indicates the potential development of a diagnostic tool for celiac disease via transfer learning in medical image analysis absent prior studies in this field.
A Proposed Decision-Making Framework for the Translation of In-Person Clinical Care to Digital Care: Tutorial
Authors: DeLaRosby Anna , Mulcahy Julie , Norwood Todd 
Published: May 2024

Abstract
The continued demand for digital health requires that providers adapt thought processes to enable sound clinical decision-making in digital settings. Providers report that lack of training is a barrier to providing digital health care. Physical examination techniques and hands-on interventions must be adjusted in safe, reliable, and feasible ways to provide digital care, and decision-making may be impacted by modifications made to these techniques. We have proposed a framework to determine whether a procedure can be modified to obtain a comparable result in a digital environment or whether a referral to in-person care is required. The decision-making framework was developed using program outcomes of a digital physical therapy platform and aims to alleviate barriers to delivering digital care that providers may experience. This paper describes the unique considerations a provider must make when collecting background information, selecting and executing procedures, assessing results, and determining whether they can proceed with clinical care in digital settings.
TO EVALUATE THE INFLAMMATORY MARKERS IN TYPE 2 DIABETES MELLITUS AND COMPARED IT WITH NORMAL HEALTHY CONTROLS
Authors: KAUR JASWANT , SHWETA  , SHARMA MOHIT , SEEMA  , SHAIKH MOHAMMED NADEEM 
Published: May 2024

Objective :To evaluate the serum levels of Interleukin -6, Tissue Necrosis factor – α, C- reactive Protein ( IL-6, TNF- α , CRP) in type 2 diabetes mellitus in North Population
Method: A total of 200 participants were selected in this study among them 100 were recruited as Cases who were suffering from T2DM and 100 were healthy controls. Biochemical parameters were analyzed by fully autoanalyser. Serum levels of inflammatory cytokines, TNF-α ,CRP and IL-6 were estimated by ELISA . Data was analyzed using statistical ‘software SPSS 15. TheP<0.05 were considered as statistically significant.
Result: in our study we observed that serum levels of candidate cytokines, TNF-α, IL-6 and CRP were highly significant (p<0.001) in T2DM as compared to healthy control. Fasting blood sugar, HbA1c and lipid profile parameters were recorded highly significant (p<0.001) in T2DM as compared to normal healthy controls.
Conclusion: Inflammatory cytokines play a significant role in the pathogenesis of T2DM. Hence, these cytokines can be used as early prediction biomarkers which may be helpful in the reduction of mortality rate of T2DM.
The economics of farming expansion in the Brazilian Cerrado under possible effects of climate change
Authors: Monaco Henrique , Ortiz Carlos , Caetano Lilian , Müller Christoph , Jägermeyr Jonas 
Published: May 2024

Abstract
This analysis assesses the financial viability of legally investing in native Cerrado vegetation deforestation for crop production, considering climate change. The study uses data from twelve different crop models based on three different climate models to predict potential future crop yields in cleared land for growing soy and maize. The outcomes show that in many micro-regions, investments in clearing land for crop production would destroy economic value, that is, generate a negative net present value because of low/negative and volatile cashflows driven primarily by future yields as affected by climate. Our analysis was carried out based on present agricultural practices and technology. As climate changes, farmers may adapt their practices, which can lead to more resilient and productive crops, or grow different crops, which could provide better returns on investment in clearing land than the ones resulting from our analysis. Despite various uncertainties, farmers, policy makers and financial institutions should be aware of the climatic and financial risks associated with land clearing in Brazil, mainly in micro-regions in which all scenarios resulted in negative outcomes in the investment analysis.
Design of intelligent agricultural landscape planning and ecological balance control system based on remote sensing images
Authors: Yao Hongyuan , Zhang Yi 
Published: May 2024

Abstract
With the modernization of agricultural production and the acceleration of urbanization, agricultural landscape planning and ecological balance control have become important issues in promoting sustainable development. Traditional agricultural production methods have problems such as resource waste, environmental pollution, and ecological damage. This article aimed to achieve scientific planning and management of agricultural landscapes, and promote the efficiency of agricultural production, rational utilization of resources, and protection of the ecological environment, thereby promoting sustainable agricultural development. This study first focused on denoising and feature extraction of agricultural remote sensing data images, using remote sensing technology to obtain agricultural landscape information. After that, artificial intelligence was adopted to achieve intelligent agricultural landscape planning, with the goal of maintaining ecological balance and promoting efficient, eco-friendly, and sustainable agricultural production. This study took the landscape of a certain city as an example to test the processing effect of remote sensing images, and it was proved that the effect was good. We tested the performance of an intelligent agricultural landscape planning and ecological balance control system based on remote sensing images. According to the experimental results, it can be concluded that the resource utilization efficiency of farmland A monitored by the intelligent agricultural landscape planning system using remote sensing image technology was 82%, while the traditional one was only 60%. This indicated that the collection effect of remote sensing image technology was much better than that of traditional technology. This article comprehensively and timely monitored and evaluated farmland through remote sensing image technology, including crop growth status, soil moisture, nutritional status, etc. The system can provide precise planting and management suggestions for farmers based on this information, and help them optimize farmland layout, crop selection, and irrigation management, thereby improving the production efficiency of farmland and crop yield.
Social capital in transactions: The role of economic and social trust in the specialty beef production system in Brazil
Authors: Pereira Jaiane Aparecida , Schiavi Sandra Mara de Alencar , Guimarães Amanda Ferreira 
Published: May 2024

Abstract
This study aims to understand the social capital inherent in agents and the role of social and economic trust in transactions between beef cattle producers and slaughtering cooperatives in the specialty beef production system in Paraná state, Brazil. This qualitative research involved 31 semi-structured interviews with beef cattle producers, cooperatives, and key agents. Results revealed that social capital, comprising networks and informal norms, favors the condition of trust, enabling the construction of a hybrid governance structure under a complex institutional environment. Social and economic trust between agents facilitates transactions, reduces behavioral and market uncertainties, enables ex-post adaptations, and consequently, reduces monitoring costs and transaction costs. Trust based on social aspects, i.e., social trust, was more relevant for the construction of arrangements, while trust based on economic aspects, i.e., economic trust, had a greater impact on the continuity of arrangements. This reveals that looking at only one of them is not enough to understand contractual arrangements. Thus, this study highlights that unfolding the concept of trust and investigating whether it comes from an economic or social basis is important to understand the complexity of such arrangements, which may influence specialty beef production system design and coordination efficiency.
A Path Analysis of Goodwill Impairment – Does Corporate Governance Matter?
Authors: Ferreira Leonor Fernandes , Fernandes Joaquim Santana , Rebelo Efigénio 
Published: May 2024

Abstract

Objective
This paper examines the extent to which different corporate governance mechanisms affect the recognition and measurement of goodwill impairment, considering that these decisions are affected by a complex set of factors such as variables associated with corporate governance, economic/financial variables, and the market.

Methodology
We used data from 110 companies, both Spanish (75) and Portuguese (35), with listed securities, in the period 2010–2016 (unbalanced panel), and the path analysis method to infer financial and non-financial data relationships.

Findings
The results support the hypothesis that attributes linked to management and internal and external control mechanisms, as well as economic/financial, market and location variables, are directly and indirectly associated with the recognition of goodwill impairment.

Value Added
This paper outlines a company behavioral profile where opportunity seems to prevail over timely recognition and measurement of goodwill impairment. Big bath practices appear to be well founded, as well as the alignment of this strategy with market signals.

Recommendations
To foster the adoption of accounting practices close to the interests of all stakeholders, regulators should be encouraged to incentivize corporate governance models that promote the periodic rotation of the chief executive officer/chairman, the independence of all members of the statutory audit board, and training in economic and financial areas.
Due Diligence Associated with Risk Management and Linked to Management Control
Authors: Oliveira Cidália , Barata Vanessa , Rodrigues Margarida 
Published: May 2024

Abstract

Objective

Due Diligence is considered an internal practice that analyzes and identifies the actual situation of an organization. Having a strategic relevance and impact on Mergers and Acquisitions, it provides a solid foundation for the final decision or negotiation. Given this relevance, it is considered an input for Management tools to have information precisely collected and oriented.

Methodology
The aim of this article is to confirm, through empirical research, namely a case study, conducted in Portuguese enterprises, the importance of Due Diligence and its role in Risk Management, assessing its usefulness as a management control tool and its potential impact on the performance of Portuguese SMEs.

Findings
Managers recognize that there is a lack of empirical research in this area, especially in terms of its impact on SMEs.

Value added
Few studies relate to the practices of Due Diligence associated with Risk Management and linked to Management control in SMEs in order to increase transparency and performance.

Recommendations
This study confirms the contribution Due Diligence can have to Risk Management and the consequent impact on performance when used linked to a Management control tool.
Workplace Flexibility: Identifying New Trends and Directions from the Grey Literature Sources
Authors: Paulišić Morena , Vizjak Maja , Elhawari Mostafa Mohamed 
Published: May 2024

Abstract

Background and purpose
This literature review examines labour market trends, focusing on workplace flexibility. It analyses grey literature and statistical reports to understand the impact of policies promoting sustainable digitisation. The analysis seeks to understand how these strategies have influenced labour market dynamics.

Methodology
The research utilised descriptive and compilation techniques to analyse grey literature, focusing on theoretical frameworks and temporal trends. It analysed non-traditional publications, reports, and statistical data to understand emerging labour market trends, particularly workplace flexibility and sustainable digitisation policies. This approach provided unique insights beyond traditional academic publications.

Results
Three major themes were identified by the review of grey literature sources. First is the impact of digitalisation on the labour market, the second is flexible working arrangements, and the third is working time flexibility.

Conclusion
The digital revolution transforms lifestyles and practices, leading to novel work forms. The pandemic has accelerated this trend, focusing on digitisation for work optimisation and flexibility. These new work forms increase productivity efficiency and reduce operational costs. Technological integration affects work quality and employee competencies, influencing the workforce’s needs.
Intercultural Communicative Competence in Virtual and Face-to-Face Teamwork: A Quantitative Analysis of Culturally Diverse Teams
Authors: Yousef Katul 
Published: May 2024

Abstract

Purpose
Owing to the COVID-19 pandemic, the importance of virtual teams has increased during this period. There is a gap in current literature about the transformation of cultural diversity, how it appears in face-to-face interactions, and how it does in virtual teamwork. Global, virtual coworking requires different skills in order to communicate efficiently and understand the team members. This paper analyzes the importance of intercultural communicative competence in virtual and face-to-face teamwork.

Methodology
The research was conducted with a quantitative methodology to see the pattern regarding teamwork throughout culturally diverse teams. A total of 133 questionnaires were obtained for the data analysis. The collected data were then analyzed by using the IBM SPSS Statistics 27 program.

Findings
The results found that intercultural communicative competence is crucial in virtual teams. With better intercultural competence, cultural differences can be identified and considered during project management. However, in face-to-face teamwork, it seems to be more complex. Willingness to discover another culture and eagerness to understand fellow teammates makes a higher priority than being temporarily effective due to intercultural competence.

Conclusion
Intercultural communicative competence is a crucial workplace requirement in today’s globalized world, regardless of branch, profession, or geographic location. The ability to understand people with different cultural backgrounds is an increasingly important competency both virtually and in face-to-face interactions.