bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transforming Mental Healthcare: A Crude Return-on-Investment Analysis of the Chhattisgarh Community Mental Healthcare Tele-Mentoring Program (CHaMP), India
Authors: Maheshwari Prerna , Mukherjee Sukriti , Suchandra Hari Hara , Patley Rahul , Ibrahim Ferose Azeez , Jain Sumi , H Harsha A , Manjunatha Narayana , Kumar Channaveerachari Naveen , Math Suresh Bada 
Published: September 2024

Abstract

Background
Mental illness poses a significant public health concern globally, with depressive and anxiety disorders alone costing over $1 trillion annually in lost productivity. In Chhattisgarh, India, a resource-limited state, the Chhattisgarh Community Mental Healthcare Tele-Mentoring Program (CHaMP) is operational to train Primary Care Doctors (PCDs) in mental health diagnosis and treatment. This paper evaluates its economic impact using a crude return on investment (ROI) analysis.
Methods
A total of 2,056 PCDs received over 1,600 hours of training, resulting in the diagnosis and treatment of 51,738 patients with mental health disorders from September 2019 to September 2022. The program's impact was evaluated by comparing costs between consultations at tertiary care hospitals and PHCs, factoring in expenses for travel, food, incidental fees, and wage losses. Stakeholders involved in cost estimations included psychiatrists, government officials, program participants, and beneficiaries. The calculated financial metrics included return on investment (ROI) by calculating the percentage of the net profit by the cost of investment. The initiative's total investment encompassed training materials, salaries, and logistical expenses for trainers visiting districts.
Result
The total project cost was INR 1,19,71,000 (142,706 USD), while the savings from reduced out-of-pocket expenditure and wage losses amounted to INR 5,82,83,182 (694,792 USD), yielding a net profit of INR 4,63,12,182 (552,086 USD) and an ROI of 386%, indicating that the gains from the program's investment are 3.8 times the cost of implementation, yielding significant economic benefits. This means that for every 1 rupee the government invests, the public saves approximately 4 rupees in out-of-pocket expenditure. This demonstrates that the program effectively reduces the cost of providing primary mental healthcare to the community.
Conclusion
The study emphasizes the effectiveness of integrating mental health services into primary healthcare by leveraging technology for training. The provision of community-based care is associated with a significant return on investment. Further studies are needed with formal cost-benefit methods.
Brain dynamics of speech modes encoding: Loud and Whispered speech versus Standard speech
Authors: Sanders Bryan , Lancheros Monica , Bourqui Marion , Laganaro Marina 
Published: September 2024

Abstract

Loud speech and whispered speech are two distinct speech modes that are part of daily verbal exchanges, but that involve a different employment of the speech apparatus. However, a clear account of whether and when the motor speech (or phonetic) encoding of these speech modes differs from standard speech has not been provided yet. Here, we addressed this question using Electroencephalography (EEG)/Event related potential (ERP) approaches during a delayed production task to contrast the production of speech sequences (pseudowords) when speaking normally or under a specific speech mode: loud speech in experiment 1 and whispered speech in experiment 2. Behavioral results demonstrated that non-standard speech modes entail a behavioral encoding cost in terms of production latency. Standard speech and speech modes’ ERPs were characterized by the same sequence of microstate maps, suggesting that the same brain processes are involved to produce speech under a specific speech mode. Only loud speech entailed electrophysiological modulations relative to standard speech in terms of waveform amplitudes but also temporal distribution and strength of neural recruitment of the same sequence of microstates in a large time window (from approximatively − 220 ms to -100 ms) preceding the vocal onset. Alternatively, the electrophysiological activity of whispered speech was similar in nature to standard speech. On the whole, speech modes and standard speech seem to be encoded through the same brain processes but the degree of adjustments required seem to vary subsequently across speech modes.
Chitosan-Gallic Acid Conjugate with Enhanced Functional Properties and Synergistic Wound Healing Effect
Authors: Hiatsevich Katsiaryna V. , Hileuskaya Kseniya S. , Nikalaichuk Viktoryia V. , Ladutska Alena I. , Akhmedov Oliy R. , Abrekova Nadjiye N. , You Lijun , Shao Ping , Odonchimeg Munkhjargal M. 
Published: September 2024

Abstract

Chitosan-gallic acid conjugates were synthesized by carbodiimide method and characterized by physicochemical methods (UV-vis, FTIR, 1H NMR, TGA). The FTIR and NMR assays confirmed that the chemical interaction occurred solely due to the formation of an amide bond. It was established that by varying the ratio of the components during synthesis it is possible to obtain conjugates with desired conjugation ratio, grafting efficiency and gallic acid content up to 8%, 71% and 80 µg gallic acid/mg chitosan, respectively. Chitosan-gallic acid conjugate with a 5% conjugation ratio demonstrated excellent antioxidant properties: the IC50 value for ABTS radical scavenging activity was 0.0073±0.0001 mg/mL. In vitro tests showed that conjugation of chitosan with phenolic acid provided the antiglycemic activity of the material and its good biocompatibility. A low level of cytotoxicity was recorded in the HaCaT cell line model (IC50 was 1030.4 μg/mL). The received eco-friendly chitosan-gallic acid conjugate effectively inhibited the growth of thermophilic spore-forming bacteria G. thermodenitrificans and the resistant to classical antibiotics strain A. palidus. The results of an in vivo comparative analysis showed that chitosan-gallic acid conjugate had excellent wound healing properties due to the synergism of the polysaccharide and the natural antioxidant.
The Oxylipin Dependent Quorum Sensing System enhances Pseudomonas aeruginosa dissemination during burn-associated infection
Authors: Martinez Eriel , Im Hansol , Campos-Gomez Javier , Orihuela Carlos J. 
Published: September 2024

Abstract

Following severe burn injury, Pseudomonas aeruginosa is the leading cause of life-threatening infection. Herein, we unveil how P. aeruginosa strategically employs host-derived oleic acid, released as consequence of burn-injury, to induce a hypervirulent phenotype via its Oxylipin Dependent Quorum Sensing system (ODS). ODS activation enhanced P. aeruginosa invasion of burned skin and promoted its dissemination to distant organs in vivo. ODS regulation of P. aeruginosa virulence involved the control of nitic oxide levels, a key signaling molecule in bacteria, through upregulation of the nitric oxide reductases NorCB. Immunization with OdsA, one of the enzymes involved in oxylipin generation, or treatment with a pharmacological inhibitor of OdsA, protected mice against lethal P. aeruginosa infection following burn-injury. Our findings reveal a new mechanism underlying P. aeruginosa hypervirulence in burn wounds and identifies OdsA as a promising target for preventing disseminated infections following burns.
Bioengineered 3D microvessels reveal novel determinants of Trypanosoma congolense sequestration
Authors: Porqueddu Teresa , De Niz Mariana , Casas-Sánchez Aitor , Introini Viola , Zorrinho-Almeida Maria , Sender Silvia Sanz , Carrasqueira Diana , Figueiredo Luisa , Bernabeu Maria , Pereira Sara Silva 
Published: September 2024

Abstract

In the mammalian host, Trypanosoma congolense cytoadheres to the vascular endothelium in a process known as sequestration. Although sequestration influences clinical outcome, disease severity and organ pathology, its determinants and mediators remain unknown. Challenges such as the variability of animal models, the only-recently developed tools to genetically manipulate the parasite, and the lack of physiologically relevant in vitro models have hindered progress. Here, we engineered brain and cardiac 3D bovine endothelial microvessel models that mimic the bovine brain microvasculature and the bovine aorta, respectively. By perfusing these models with two T. congolense strains, we simulated physiologically relevant conditions and investigated the roles of flow for parasite sequestration and tropism for different endothelial beds. We discovered that sequestration is dependent on cyclic AMP signalling, closely linked to parasite proliferation, but not associated with parasite transmission to the tsetse fly vector. Finally, by comparing the expression profiles of sequestered and non-sequestered parasites collected from a rodent model, we showed gene expression changes in sequestered parasites, including of the surface variant antigens. This work presents a physiologically-relevant platform to study trypanosome interactions with the vasculature and provides a deeper understanding of the molecular and biophysical mechanisms underlying T. congolense sequestration.
Mobius Assembly for Plant Systems highlights promoter-coding sequences-terminator interaction in gene regulation
Authors: Nakayama Naomi , Kocaoglan Elif Gediz , Andreou Andreas , Nirkko Jessica , Villarreal Marisol , Loake Gary 
Published: September 2024

Abstract

Plants are the primary biological platforms for producing food, energy, and materials in agriculture; however, they remain a minor player in the recent synthetic biology-driven transformation in bioproduction. Molecular tools and technologies for complex, multigene engineering in plants are as yet limited, with the challenge to enhance their stability and predictivity. Here, we present a new standardized and streamlined toolkit for plant synthetic biology, Mobius Assembly for Plant Systems (MAPS). It is based on small plant binary vectors pMAPs, which contain a fusion origin of replication that enhances plasmid yield in both Escherichia coli and Rhizobium radiobacter. MAPS includes a new library of promoters and terminators with different activity levels; part sizes were minimized to improve construct stability and transformation efficiency. These promoters and terminators were characterized using a high-throughput protoplast expression assay. We observed a significant influence of terminators on gene expression, as the strength of a single promoter can change more than seven-folds in combination with different terminators. Changing the coding sequence changed the relative strength of promoter and terminator pairs, thus uncovering combinatorial gene regulation among all parts of a transcriptional unit. We further gained insights into the mechanisms of such interactions by analyzing RNA folding, with which we suggest a design principle for more predictive and context-independent genetic parts in synthetic biology of plant systems and beyond.
Geographic Information System based multi-criteria decision-making for onshore wind farm site selection in Brazil
Authors: Garbellini Lucas , Ke Shangjun , Gummidi Srinivasa Raghavendra Bhuvan , Dong Di , Birkved Morten , Liu Gang 
Published: September 2024

Abstract

Spatial planning and development of wind energy is key to reducing fossil fuels dependency and promoting green economic growth. However, site selection for wind farms is complex involving multiple techno-economic, social, and environmental perspectives. Here, we used a Geographic Information System-based Multi-Criteria Decision-Making approachto conduct the first nationwide onshore wind farm site selection for Brazil, one of the world’s top countries for wind resources and renewable energy. The approach involved 6 evaluation criteria and 14 constraint factors based on the Brazilian country profile, and weights for these criteria were generated using the Analytic Hierarchy Process method based on the result of a survey carried out among Brazilian experts. Under the Wind Power Expansion scenario (to identify all minimally suitable areas for future wind farms), nearly 20% (1,67 million km²) of theBrazilian land was identified suitable, equivalent to a theoretical wind power capacity of 15,812 GW. In comparison, the High Economic Reward scenario (to reveal the most suitable and available areas for future wind farms) indicated a suitable area of 14,268 km², and the best options for installing onshore wind farms were found to be mainly concentrated along the eastern coast, withRio Grande do Norte, Paraiba, and Bahia as the leading states. Our method can be extended to other regions and countries and our empirical results provide precise geographic insights into spatial planning for newonshore wind farm projects for Brazilian decision-makers.
Physicochemical characteristics of safflower oil to expand its production in Egypt
Authors: El-Baset Walid S. Abd , Almoselhy Rania I.M. , Abd-Elmageed Susan M.M. 
Published: September 2024

Abstract

Background: Increasing demand for sustainable and economical non-traditional edible oils as alternatives to common oils is pivotal to bridge the edible oils gap, accompanied by negative impacts of climate change on the agroecological settings for common oilseed crop productivity. Safflower is one of the fast-growing medicinal oilseed crops rich in polyunsaturated fatty acids, known as the “king of linoleic acid”, with capability for growing under high temperatures, drought, salinity, and marginal environments.
Aims: The current research aimed to study in-depth the physicochemical characteristics along with the lipid nutritional indices of safflower oil to validate its potential for expansion in production in Egypt.
Materials and Methods: Safflower oils extracted from seeds of two spineless varieties of Egypt were subjected to proximate composition, physicochemical, fatty acid composition, and α-tocopherol analyses. A frying stability test was carried out for safflower oil and its blends with soybean oil in different ratios, monitored by analyses of free fatty acid, peroxide value, and total polar compounds. Lipid nutritional indices were calculated to explore their health-related applications.
Results: Safflower oil revealed similar proximate composition as sunflower oil with similar physicochemical characteristics. The fatty acid composition of safflower oil was greatly similar to sunflower oil, with smaller oleic acid and greater linoleic acid contents, along with recognized stability in the frying process. Lipid nutritional indices calculated from the fatty acid composition supported the medicinal uses of safflower oil as a valuable source of ω-6 fatty acids and revealed optimum indices of atherogenicity (IA), thrombogenicity (IT), and hypocholesterolemic/hypercholesterolemic (HH) with the health-promoting index (HPI) along with the powerful antioxidant effect of the high content of α-tocopherol.
Conclusions: Safflower oil successfully demonstrated its potential as a promising non-traditional edible oil qualified for expansion in production in Egypt.
Comparative Study on Precision and Interference of Maltose and Vitamin C among three Glucometers Commonly Used in United Arab Emirates (U.A.E)
Authors: Ali Shajitha Farvin Akbar , Krimi Bassma , Alhamadi Mona , Ghazal Aya , Zuburtikudis Ioannis , Alawami Mohammed , Dickson Lynnsay 
Published: September 2024

Aim:
To evaluate the suitability of commercially available glucometers in the UAE in terms of accurate and reliable blood glucose measurements.

Background:
Portable glucometers are employed for measuring blood glucose levels, offering distinct advantages such as providing instant results and being
user-friendly when compared to laboratory reference analyzers. However, certain molecules, such as those found in medications, can interfere with
the accuracy of glucometer readings.

Objective:
To evaluate the precision and interference in the presence of maltose and vitamin C of three glucometers commercially available in the UAE.

Results:
Accu-Chek InstantTM demonstrated the highest precision among the glucometers tested, with a coefficient of variation of less than 5% for all
measured glucose values. In contrast, OneTouch Select Plus FlexTM and Trister GlucoscanTM exhibited higher variability in precision, with
coefficients of variation of 11.4% and 11%, respectively. Accu-Chek InstantTM consistently performed well in terms of bias and precision in the
presence of interferences, and does not display glucose readings above 50mg/dL of Vitamin C. Notably, Ascorbic acid induced a greater bias
compared to Maltose for all three glucometers.

Methods:
We utilized plasma samples to conduct two types of experiments: a precision experiment and an interference experiment. We compared the
precision of three glucometer brands available in the United Arab Emirates [Accu-Chek InstantTM, One Touch Select Plus FlexTM, and Trister
GlucoScanTM] in the presence or not of various interfering molecules, such as Maltose and Ascorbic Acid [Vitamin C].

Conclusion:
The performance of the glucometer is affected by its testing methodology. Accu-Chek InstantTM shows improved precision and is able to detect the
presence of Vitamin C. When it comes to Maltose interference, it results in a higher bias change but lower variability, which can be addressed by
applying a correction factor.
Lipid-based Non-viral Vector: Promising Approach for Gene Delivery
Authors: Panday Anupama , Dixena Bhupendra , Jain Nishant , Jain Akhlesh Kumar 
Published: September 2024

Objectives:
The present review aims to discuss various strategies to overcome intracellular and extracellular
barriers involved in gene delivery as well as the advantages, challenges, and mechanisms of gene delivery
using non-viral vectors. Additionally, patents, clinical studies, and various formulation approaches related
to lipid-based carrier systems are discussed.

Methods:
Data were searched and collected from Google Scholar, ScienceDirect, Pubmed, and Springer.

Results:
In this review, we have investigated the advantages of non-viral vectors over viral vectors. The advantage
of using non-viral vectors are that they seek more attention in different fields. They play an important role
in delivering the genetic materials. However, few non-viral vector-based carrier systems have been found in
clinical settings. Challenges are developing more stable, site-specific gene delivery and conducting thorough
safety assessments to minimize the undesired effects.

Conclusion:
In comparison to viral vectors, non-viral vector-based lipid nanocarriers have more advantages
for gene delivery. Gene therapy research shows promise in addressing health concerns. Lipid-based nanocarriers
can overcome intracellular and extracellular barriers, allowing efficient delivery of genetic materials. Nonviral
vectors are more attractive due to their biocompatibility, ease of synthesis, and cost-effectiveness. They
can deliver various nucleic acids and have improved gene delivery efficacy by avoiding degradation steps. Despite
limited clinical use, many patents have been filed for mRNA vaccine delivery using non-viral vectors.
Advances in Protein-Ligand Binding Affinity Prediction via Deep Learning: A Comprehensive Study of Datasets, Data Preprocessing Techniques, and Model Architectures
Authors: Abdelkader Gelany Aly , Kim Jeong-Dong 
Published: September 2024

Background:
Drug discovery is a complex and expensive procedure involving several
timely and costly phases through which new potential pharmaceutical compounds must pass to get
approved. One of these critical steps is the identification and optimization of lead compounds,
which has been made more accessible by the introduction of computational methods, including
deep learning (DL) techniques. Diverse DL model architectures have been put forward to learn the
vast landscape of interaction between proteins and ligands and predict their affinity, helping in the
identification of lead compounds.

Objective:
This survey fills a gap in previous research by comprehensively analyzing the most
commonly used datasets and discussing their quality and limitations. It also offers a comprehensive
classification of the most recent DL methods in the context of protein-ligand binding affinity
prediction, providing a fresh perspective on this evolving field.

Methods:
We thoroughly examine commonly used datasets for BAP and their inherent characteristics.
Our exploration extends to various preprocessing steps and DL techniques, including graph
neural networks, convolutional neural networks, and transformers, which are found in the literature.
We conducted extensive literature research to ensure that the most recent deep learning approaches
for BAP were included by the time of writing this manuscript.

Results:
The systematic approach used for the present study highlighted inherent challenges to
BAP via DL, such as data quality, model interpretability, and explainability, and proposed considerations
for future research directions. We present valuable insights to accelerate the development
of more effective and reliable DL models for BAP within the research community.

Conclusion:
The present study can considerably enhance future research on predicting affinity between
protein and ligand molecules, hence further improving the overall drug development process.
Post-Hoc Assessment of Cognitive Efficacy in Alzheimer’s Disease Using a Latent Growth Mixture Model in AMBAR, a Phase 2B Randomized Controlled Trial
Authors: Ayasse Nicolai D. , Stewart Walter F. , Lipton Richard B. , Gomez-Ulloa David , Runken M. Chris 
Published: September 2024

Background:
Disease progression in Alzheimer’s Dementia (AD) is typically characterized
by accelerated cognitive and functional decline, where heterogeneous trajectories can impact
the observed treatment response.

Methods:
We hypothesized that unobserved heterogeneity could obscure treatment benefits in
AD. The effect of unobserved heterogeneity was empirically quantified within the Alzheimer’s
Management By Albumin Replacement (AMBAR) phase 2b trial data. The ADAS-Cog 12 cognition
endpoint was reanalyzed in a 2-class latent growth mixture model initially fit to the treatment
arm. The model with the best fit was then applied across both treatment arms to a larger (n=1000)
simulated dataset that was representative of AMBAR trial cognitive data.

Results:
Two classes of patients were observed: a stable cognitive trajectory class and a highly
variable class. Removal of the latter (n=48, 22%) from the analysis and refitting efficacy models
comparing the stable class to full placebo yielded significant treatment efficacy on cognition
(p=0.007, Cohen’s D=-0.4). Comparison of the stable class of each arm within the simulated dataset
revealed a significant difference in treatment efficacy favoring the simulated stable treatment
arm.

Conclusion:
This post hoc exploratory analysis suggests that prespecified strategies for addressing
unobserved heterogeneity may yield improved effect detection in AD trials. The generalizability
of the analytic strategy is limited by latent stratification in only the treatment arm, a requirement
given the small placebo arm in AMBAR. This limitation was partially addressed by the simulation
modeling.

Clinical Trial Registration Number::
NCT01561053