bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Phytochemicals as Potential Inhibitors of Cancer Cell Metabolic Pathways: A Computational Study
Authors: Kapoor Yagyesh , Hasija Yasha
Published: October 2024

Objective:

The objective of this study is to explore the therapeutic potential of phytochemicals
in cancer cell metabolism by investigating their ability to inhibit key molecular targets
involved in tumor growth and drug resistance.

Methods:

We evaluated specific phytochemicals against critical cancer-related targets such as
GLS1, CKα, MGLL, IDH1, PDHK1, and PHGDH. Molecular docking methods were used to understand
the binding interactions between phytochemicals and their selected targets. ADME (absorption,
distribution, metabolism, and excretion) analysis and molecular dynamics (MD) simulations
were conducted to assess pharmacokinetic properties and ligand-protein interaction dynamics,
respectively. MM-PBSA (molecular mechanics Poisson-Boltzmann surface area) calculations were
utilized to estimate binding free energies.

Results:

Molecular dynamics simulations demonstrate that phytochemicals like EGCG, Diosgenin,
Withaferin A, and Celastrol exhibit stable binding to their respective targets, suggesting potential
therapeutic benefits. Specifically, EGCG shows strong and non-toxic binding affinity with GLS1,
making it a promising candidate for cancer treatment.

Conclusion:

Our study underscores the potential of phytochemicals as effective inhibitors of cancer
cell metabolism. The stable binding interactions highlight promising avenues for developing innovative
cancer therapies. Further experimental investigations are warranted to validate these findings
and advance the development of hybrid phytochemical-based treatments for combating chemoresistance.
scADCA: An Anomaly Detection-Based scRNA-seq Dataset Cell Type Annotation Method for Identifying Novel Cells
Authors: Shi Yongle , Ma Yibing , Chen Xiang , Gao Jie
Published: October 2024

Background:

With the rapid evolution of single-cell RNA sequencing technology, the
study of cellular heterogeneity in complex tissues has reached an unprecedented resolution. One
critical task of the technology is cell-type annotation. However, challenges persist, particularly in
annotating novel cell types.

Objective:

Current methods rely heavily on well-annotated reference data, using correlation comparisons
to determine cell types. However, identifying novel cells remains unstable due to the inherent
complexity and heterogeneity of scRNA-seq data and cell types. To address this problem, we propose
scADCA, a method based on anomaly detection, for identifying novel cell types and annotating
the entire dataset.

Methods:

The convolutional modules and fully connected networks are integrated into an autoencoder,
and the reference dataset is trained to obtain the reconstruction errors. The threshold based on
these errors can distinguish between novel and known cells in the query dataset. After novel cells
are identified, a multinomial logistic regression model fully annotates the dataset.

Results:

Using a simulation dataset, three real scRNA-seq pancreatic datasets, and a real scRNA-seq
lung cancer cell line dataset, we compare scADCA with six other cell-type annotation methods,
demonstrating competitive performance in terms of distinguished accuracy, full accuracy, F!-score,
and confusion matrix.

Conclusion:

In conclusion, the scADCA method can be further improved and expanded to achieve
better performance and application effects in cell type annotation, which is helpful to improve the
accuracy and reliability of cytology research and promote the development of single-cell omics.
Bulky Isolated Adrenal Metastasis as First Presentation of Occult Hepatocellular Carcinoma (HCC) in a Patient with a Synchronous Squamous Carcinoma of the Tongue
Authors: Lodin Marco , Ragni Alberto , Renzelli Valerio , Rossi Maura , Traverso Elena Silvia , Gallo Marco
Published: October 2024

Background:

The diagnostic workup of an adrenal mass should always rule out the possibility
of an adrenal metastasis, especially in a patient followed-up for a known primitive cancer.
Sometimes, however, the incidental finding of a bulky lesion in a cancer patient can lead to the unexpected
diagnosis of metastasis from a second occult cancer. Here, we report the case of a voluminous,
isolated left adrenal metastasis from unknown and persistently occult hepatocellular carcinoma
(HCC), incidentally found during the follow-up for squamous carcinoma of the tongue.

Case Description:

A 72-year-old HBV/HCV-negative male patient with a history of alcohol abuse
was referred to our hospital for gastric bleeding. Some weeks before, the patient was operated on
for a locally advanced squamous cell carcinoma of the tongue, which required cervical lymph
node neck dissection, temporary tracheostomy, jejunostomy, and plastic reconstruction. Subsequent
diagnostic imaging revealed a left adrenal mass sized 9x15 cm with suspicious features. The
hormonal workout was negative for pheochromocytoma and a hyperfunctioning adrenal lesion.
The patient underwent laparotomic left adrenalectomy. The exploration of the liver was compatible
with alcoholic cirrhosis and did not reveal any other palpable lesion. The adrenal mass histologically
turned out to be a poorly differentiated G3 HCC. Subsequent radiological exams were unable
to identify the primary liver lesion or any other neoplasms. Conversely, α-FP levels were initially
high but reduced after treatment with sorafenib. After 2 years of follow-up, the patient is
alive and well, albeit with evidence of locoregional inter-aortocaval lymphadenopathy. The primary
HCC has never been identified, thus suggesting the hypothesis of a diffuse cirrhosis-like
HCC.

Conclusion:

The suspicion of an adrenal metastasis in a patient with primary cancer with a low potential
for adrenal metastatic spreading must raise the diagnostic suspect for another synchronous
occult cancer beyond that for primary adrenal cancer. HCC can rarely first manifest as a metastatic
adrenal lesion.
Current Scenario and Global Perspective of Sustainable Algal
Biofuel Production
Authors: Tripathi Gyanendra , Hussain Akhtar , Irum  , Firdaus Saba , Dubey Priyanka , Ahmad Suhail , Ashfaque Mohammad , Mishra Vishal , Farooqui Alvina
Published: October 2024

Industrialization and globalization have increased the demand for petroleum
products that has increased a load on natural energy resources. The escalating fossil fuel
utilization has resulted in surpassing the Earth's capacity to absorb greenhouse gases, necessitating
the exploration of sustainable bioenergy alternatives to mitigate emissions.
Biofuels, derived from algae, offer promising solutions to alleviate fossil fuel dependency.
Algae, often regarded as third-generation biofuels, present numerous advantages owing
to their high biomass production rates. While algae have been utilized for their bioactive
compounds, their capability as biomass for the production of biofuel has gained traction
among researchers. Various biofuels such as bio-hydrogen, bio-methane, bio-ethanol,
bio-oil, and bio-butanol can be derived from algae through diverse processes like fermentation,
photolysis, pyrolysis, and transesterification. Despite the enormous commercial
potential of algae-derived biofuels, challenges such as high cultivation costs persist.
However, leveraging the utilization of algae byproducts could improve economic viability
of biofuel production. Moreover, algae derived biofuels offer environmental sustainability,
cost-effectiveness, and waste reduction benefits, promising novel opportunities for
a more sustainable energy future. Moreover, advancements in the field could lead to patents
that drive innovation and commercialization in algae-based biofuel technologies.
Platelet-rich Plasma for the Treatment of Neuropathic Pain: A Systematic Review
Authors: de Jesus Larissa Santana , Nepomuceno Ana Flávia Souto Figueiredo , Couto Ricardo David , Villarreal Cristiane Flora
Published: October 2024

Background:

Neuropathic pain (NP) presents a significant actual public health challenge.
Traditional treatments primarily involve medications, but these approaches frequently yield
unsatisfactory results, highlighting the need to explore alternative therapies, such as platelet-rich
plasma (PRP), an autologous plasma derivative enriched with platelets.

Objective:

This article aims to systematically review the literature and provide an updated assessment
of the efficacy and safety of PRP treatment for NP.

Methods:

Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)
guidelines, we searched databases, including Web of Science, Embase, PubMed, Scopus,
and Cochrane Library. We assessed bias risk using the Cochrane Risk of Bias 2 tool (RoB2).

Results:

Among 1230 studies identified, 12 randomized trials meeting eligibility criteria were included.
Due to substantial heterogeneity, pairwise meta-analysis and intervention ranking were
found to be unfeasible. Most trials suggest PRP is effective in relieving NP, with no reported serious
complications or significant PRP-related adverse effects. However, these findings were compromised
by methodological heterogeneity and study inconsistency.

Conclusion:

PRP has shown to be promising as a safe therapeutic option for managing NP. Future
studies should prioritize improved rigor and reproducibility for more stringent conclusions.
ANALISIS IMPLEMENTASI KEUANGAN BERKELANJUTAN TERHADAP PROFITABILITAS BANK
Authors: Fourinda Nilna Elminah , Nurman Setiawan Fadjar
Published: October 2024

In practice, banks must maintain business continuity by paying attention to their profitability. However, in response to global issues related to sustainable development goals, banks are also obliged to direct their business towards sustainability by implementing sustainable finance. This study aims to further analyze how the implementation of sustainable finance, particularly sustainable lending and the realization of Environmental Social Responsibility (CSR) funds, can affect bank profitability. Economic sustainability theory emphasizes the importance of balance between economic, social, and environmental aspects. This study uses the panel data regression analysis method. The implementation of sustainable finance proxied by sustainable credit has a significant positive effect on bank profitability, while the realization of CSR funds has a significant negative effect on bank profitability. This research is expected to provide a more comprehensive insight into how banks can balance social responsibility and environmental sustainability with the need to maintain healthy profitability.
Distribución, riqueza, endemismo y conservación del género Dasylirion (Asparagaceae, Convallarioideae)
Authors: Ruiz-Flores Sara Isabel , Castro-Castro Arturo
Published: October 2024

Antecedentes y Objetivos: El género Dasylirion es endémico de Norteamérica y con frecuencia se emplea desmedidamente para destilar sotol y para otros usos de importancia cultural. Como resultado, se han reducido sus poblaciones naturales, por lo que un estudio sobre su diversidad y patrones de distribución es indispensable para su conservación. Los objetivos de este trabajo fueron analizar la riqueza, distribución, endemismo y vulnerabilidad de Dasylirion.Métodos: Se construyó una base de datos con 1652 registros únicos mediante la revisión de herbarios y colecciones digitalizadas. Los datos se analizaron utilizando Sistemas de Información Geográfica para evaluar la riqueza por divisiones políticas, ecorregiones, tipos de vegetación y áreas naturales protegidas (ANP). Además, la riqueza y endemismo se evaluaron empleando una cuadrícula con celdas de 60 × 60 km.Resultados clave: Dasylirion integra 23 especies y habita desde el norte de Oaxaca hasta el sur de los Estados Unidos de América. Dasylirion se conoce de 20 estados mexicanos; San Luis Potosí reúne la mayor riqueza, seguido por Chihuahua, Coahuila y Zacatecas. El género habita con mayor frecuencia matorrales xerófilos en transición con bosques de coníferas y Quercus. Su mayor diversidad se concentra en la Sierra Madre Oriental, donde se localizaron dos áreas de riqueza: la Gran Sierra Plegada y la zona árida entre Querétaro e Hidalgo. Los centros de endemismo también están en estas ecorregiones. Al menos siete de las 23 especies se encuentran en riesgo de extinción y solo 16 están resguardadas en ANP.Conclusiones: Poblaciones de diferentes especies de Dasylirion están amenazadas debido a la extracción excesiva. Los resultados del presente estudio muestran la importancia de desarrollar estrategias de conservación basadas en la identificación de áreas prioritarias de conservación para Dasylirion, pues el primer paso para ello consiste en identificar patrones de riqueza y endemismo.
Metode Pembelajaran Tanya Jawab untuk Meningkatkan Pemahaman Matematika Siswa Tuna Grahita di SLB Ganda Daya Ananda
Authors: Sadiyah Halimatus , Aini Aulia Nurul
Published: October 2024

Sekolah Luar Biasa (SLB) Ganda Daya Ananda adalah  salah satu sekolah yang melayani siswa dengan berbagai kebutuhan khusus. Dimana dalam sekolah ini siswa tidak dituntut untuk dapat mengikuti kurikulum yang ada, namun belajar sesuai dengan kemampuan mereka. Pengabdian ini dilakukan adalah untuk mengetahui metode yang tepat dalam pembelajaran matematika anak tunagrahita. Guru dapat melakukan pembelajaran yang sesuai bagi anak-anak dengan kebutuhan khusus tunagrahita. Guru harus perlahan dalam menjelaskan materi matematika yang ada sehingga anak anak tunagrahita dapat memahami pembelajaran yang ada. Hal tersebut karena pelajaran matematika merupakan pelajaran yang abstrak dan membutuhkan pemahaman yang lebih dibandingkan pelajaran-pelajaran yang lain. Kemudian sulitnya menerima materi oleh anak tunagrahita karena akademiknya terhambat. Pemebelajaran yang dilakukan adalah dengan pengajar harus bisa menguasai kelas, harus aktif berkomunikasi dengan siswa, dan juga menggunakan media pembelajaran. Hal tersebut efektif dalam meningkatkan pemahaman matematika siswa tunagrahita
Evaluating the Impact of a Daylight-Simulating Luminaire on Mood, Agitation, Rest-Activity Patterns, and Social Well-Being Parameters in a Care Home for People With Dementia: Cohort Study
Authors: Turley Kate , Rafferty Joseph , Bond Raymond , Mulvenna Maurice , Ryan Assumpta , Crawford Lloyd
Published: October 2024

Background

Living with a diagnosis of dementia can involve managing certain behavioral and psychological symptoms. Alongside cognitive decline, this cohort expresses a suppression in melatonin production which can negatively influence their alignment of sleep or wake timings with the 24 hour day and night cycle. As a result, their circadian rhythms become disrupted. Since daylight has the capacity to stimulate the circadian rhythm and humans spend approximately 90% of their time indoors, research has shifted toward the use of indoor lighting to achieve this same effect. This type of lighting is programmed in a daylight-simulating manner; mimicking the spectral changes of the sun throughout the day. As such, this paper focuses on the use of a dynamic lighting and sensing technology used to support the circadian rhythm, behavioral and psychological symptoms, and well-being of people living with dementia.

Objective

This study aimed to understand how dynamic lighting, as opposed to static lighting, may impact the well-being of those who are living with dementia.

Methods

An ethically approved trial was conducted within a care home for people with dementia. Data were collected in both quantitative and qualitative formats using environmentally deployed radar sensing technology and the validated QUALIDEM (Quality of Life for People With Dementia) well-being scale, respectively. An initial 4 weeks of static baseline lighting was used before switching out for 12 weeks of dynamic lighting. Metrics were collected for 11 participants on mood, social interactions, agitation, sense of feeling, and sleep and rest-activity over a period of 16 weeks.

Results

Dynamic lighting showed significant improvement with a moderate effect size in well-being parameters including positive affect (P=.03), social isolation (P=.048), and feeling at home (P=.047) after 5‐10 weeks of dynamic lighting exposure. The results also highlight statistically significant improvements in rest-activity–related parameters of interdaily stability (P<.001), intradaily variation (P<.001), and relative amplitude (P=.03) from baseline to weeks 5‐10, with the effect propagating for interdaily stability at weeks 10‐16 as well (P<.001). Nonsignificant improvements are also noted for sleep metrics with a small effect size; however, the affect in agitation does not reflect this improvement.

Conclusions

Dynamic lighting has the potential to support well-being in dementia, with seemingly stronger influence in earlier weeks where the dynamic lighting initially follows the static lighting contrast, before proceeding to aggregate as marginal gains over time. Future longitudinal studies are recommended to assess the additional impact that varying daylight availability throughout the year may have on the measured parameters.
Applying Critical Discourse Analysis to Cross-Cultural Mental Health Recovery Research
Authors: Kotera Yasuhiro , Daryanani Riddhi , Skipper Oliver , Simpson Jonathan , Takhi Simran , McPhilbin Merly , Ingall Benjamin-Rose , Namasaba Mariam , Jepps Jessica , Kellermann Vanessa , Bhandari Divya , Ojio Yasutaka , Ronaldson Amy , Guerrero Estefania , Jebara Tesnime , Henderson Claire , Slade Mike , Vilar-Lluch Sara
Published: October 2024

The purpose of this paper is to demonstrate how critical discourse analysis (CDA) frameworks can be used in cross-cultural mental health recovery research. CDA is a qualitative approach that critically appraises how language contributes to producing and reinforcing social inequalities. CDA regards linguistic productions as reflecting, consciously or unconsciously, the narrators’ understandings of, or attitudes about, phenomena. Mental health recovery research aims to identify and address power differentials, making CDA a potentially relevant approach. However, CDA frameworks have not been widely applied to mental health recovery research. We adapted established CDA frameworks to our cross-cultural mental health recovery study. The adapted methodology comprises (1) selecting discourses that indicate positive changes and (2) considering sociocultural practices informed by relevant cultural characteristics identified in our previous research, without placing value judgments. Our adapted framework can support cross-cultural mental health recovery research that uses CDA.
High-Resolution Eye-Tracking System for Accurate Measurement of Short-Latency Ocular Following Responses: Development and Observational Study
Authors: Miladinović Aleksandar , Quaia Christian , Kresevic Simone , Ajčević Miloš , Diplotti Laura , Michieletto Paola , Accardo Agostino , Pensiero Stefano
Published: October 2024

Background

Ocular following responses (OFRs)—small-amplitude, short-latency reflexive eye movements—have been used to study visual motion processing, with potential diagnostic applications. However, they are difficult to record with commercial, video-based eye trackers, especially in children.

Objective

We aimed to design and develop a noninvasive eye tracker specialized for measuring OFRs, trading off lower temporal resolution and a smaller range for higher spatial resolution.

Methods

We developed a high-resolution eye-tracking system based on a high-resolution camera operating in the near-infrared spectral range, coupled with infrared illuminators and a dedicated postprocessing pipeline, optimized to measure OFRs in children. To assess its performance, we: (1) evaluated our algorithm for compensating small head movements in both artificial and real-world settings, (2) compared OFRs measured simultaneously by our system and a reference scleral search coil eye-tracking system, and (3) tested the system’s ability to measure OFRs in a clinical setting with children.

Results

The simultaneous measurement by our system and a reference system showed that our system achieved an in vivo resolution of approximately 0.06°, which is sufficient for recording OFRs. Head motion compensation was successfully tested, showing a displacement error of less than 5 μm. Finally, robust OFRs were detected in 16 children during recording sessions lasting less than 5 minutes.

Conclusions

Our high-resolution, noninvasive eye-tracking system successfully detected OFRs with minimal need for subject cooperation. The system effectively addresses the limits of other OFR measurement methods and offers a versatile solution suitable for clinical applications, particularly in children, where eye tracking is more challenging. The system could potentially be suitable for diagnostic applications, particularly in pediatric populations where early detection of visual disorders like stereodeficiencies is critical.
Learning Styles of Medical Students, Surgical Residents, Medical Staff, and General Surgery Teachers When Learning Surgery: Protocol for a Scoping Review (Preprint)
Authors: Gouvea Silva Gabriela , Costa Carlos Dario da Silva , Gonçalves Bruno Cardoso , Vianney Cidrão Nunes Luiz , dos Santos Emerson Roberto , Lopes Sonia Maria Maciel , Lima Alba Regina de Abreu , Brienze Vânia Maria Sabadoto , Bizotto Thaís Santana Gastardelo , André Júlio César
Published: October 2024

BACKGROUND

Learning styles are biological and developmental configurations of personal characteristics that make the same teaching method effective for some and ineffective for others. Studies support a relationship between learning style and career choices in medicine, resulting in learning style patterns being observed in different residency programs, including in general surgery, from medical school to the last stages of training. The methodologies, populations, and contexts of the few studies pertinent to the matter are very different from one another, and a scoping review on this theme will enhance and organize what is already known.

OBJECTIVE

The goal of this study is to identify and map out data from studies on the learning styles of medical students, surgical residents, medical staff, and surgical teachers.

METHODS

The review will consider studies on the learning styles of medical students in a clinical cycle or internship, surgical residents with no restriction on year of residency, medical staff in general surgery, or general surgery’s medical faculty. Primary studies published in English, with no specific time frame, will be considered. The search will be carried out in four databases, and reference lists will be searched for additional studies. Duplicates will be removed, and two independent reviewers will screen the titles, abstracts, and full texts of the selected studies. Data collection will be performed using a tool developed by the researchers. A results summary will be presented with figures, narratives, and tables. A quantitative and qualitative analysis will be carried out and further results will be shared.

RESULTS

The search was funded on September 25, 2023. Data collection was performed in the two following months. Of the 213 articles found, 135 were excluded due to duplication. The remaining 78 articles will have their titles and abstracts analyzed by three of the researchers independently to select those that meet the eligibility criteria. This data is expected to be published in the first semester of 2025.

CONCLUSIONS

Conducting a scoping review is the best way to map what is known about a subject. Understanding how students, residents, staff, and even teachers prefer to learn surgery is key to staying up to date and knowing how to best educate those pursuing a surgical career.

CLINICALTRIAL

Open Science Framework 75ku4; https://osf.io/75ku4

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/57229
Leveraging Chatbots to Combat Health Misinformation for Older Adults: Participatory Design Study (Preprint)
Authors: Peng Wei , Lee Hee Rin , Lim Sue
Published: October 2024

BACKGROUND

Older adults, a population particularly susceptible to misinformation, may experience attempts at health-related scams or defrauding, and they may unknowingly spread misinformation. Previous research has investigated managing misinformation through media literacy education or supporting users by fact-checking information and cautioning for potential misinformation content, yet studies focusing on older adults are limited. Chatbots have the potential to educate and support older adults in misinformation management. However, many studies focusing on designing technology for older adults use the needs-based approach and consider aging as a deficit, leading to issues in technology adoption. Instead, we adopted the asset-based approach, inviting older adults to be active collaborators in envisioning how intelligent technologies can enhance their misinformation management practices.

OBJECTIVE

This study aims to understand how older adults may use chatbots’ capabilities for misinformation management.

METHODS

We conducted 5 participatory design workshops with a total of 17 older adult participants to ideate ways in which chatbots can help them manage misinformation. The workshops included 3 stages: developing scenarios reflecting older adults’ encounters with misinformation in their lives, understanding existing chatbot platforms, and envisioning how chatbots can help intervene in the scenarios from stage 1.

RESULTS

We found that issues with older adults’ misinformation management arose more from interpersonal relationships than individuals’ ability to detect misinformation in pieces of information. This finding underscored the importance of chatbots to act as mediators that facilitate communication and help resolve conflict. In addition, participants emphasized the importance of autonomy. They desired chatbots to teach them to navigate the information landscape and come to conclusions about misinformation on their own. Finally, we found that older adults’ distrust in IT companies and governments’ ability to regulate the IT industry affected their trust in chatbots. Thus, chatbot designers should consider using well-trusted sources and practicing transparency to increase older adults’ trust in the chatbot-based tools. Overall, our results highlight the need for chatbot-based misinformation tools to go beyond fact checking.

CONCLUSIONS

This study provides insights for how chatbots can be designed as part of technological systems for misinformation management among older adults. Our study underscores the importance of inviting older adults to be active co-designers of chatbot-based interventions.
Co-designing, Developing, and Testing a Mental Health Platform to Assist Young People in the Help-seeking Process Using a Participatory Design Methodologies in Colombia: A Mix Method study. (Preprint)
Authors: Ospina-Pinillos Laura , Shambo-Rodríguez Débora L , Sánchez-Nítola Mónica Natalí , Morales Alexandra , Gallego-Sanchez Laura C , Riaño-Fonseca María Isabel , Bello-Tocancipá Andrea Carolina , Navarro-Mancilla Alvaro , Pavlich-Marisca Jaime A. , Pomares-Quimbaya Alexandra , Gómez-Restrepo Carlos , Hickie Ian B , Occhipinti Jo-An
Published: October 2024

BACKGROUND

Globally, mental health problems increasingly affect young people, contributing significantly to disability and disease. In low- and middle-income countries (LMICs) like Colombia, barriers to accessing care exacerbate the treatment gap. Additionally, the lack of widespread digital interventions further deepens the digital health divide between the Global North and South, limiting equitable access to innovative mental health solutions

OBJECTIVE

The objective of this study was to co-design a mental health platform using participatory design methodologies and to conduct a 15-month naturalistic observational trial to assess its feasibility in supporting help-seeking behaviors among Colombian youth.

METHODS

A mixed-methods approach was used, following a Research and Development (R&D) cycle. Co-design workshops identified user needs. Usability testing (alpha and beta stages) used the System Usability Scale (SUS). A naturalistic observational trial from July 2022 to October 2023 collected data on user interactions and engagement. Quantitative and qualitative data were analyzed using thematic analysis and descriptive statistics.

RESULTS

A total of 146 individuals participated in workshops, and 36 in usability testing. The trial included 435 users, with 314 registered and 121 anonymous users. Emotional distress was prevalent, with 66% of registered and 61% of anonymous users reporting distress, measured by the Kessler 6 scale. A total of 102 participants requested telecounseling, but only 27% completed a session. Usability testing showed a median SUS score of 85·0, with minimal task difficulty. However, only 19% of users continued engagement after the first day.

CONCLUSIONS

This study shows that co-creating a mental health platform that aligns with young people's needs in Colombia is feasible. The participatory approach ensured meaningful user involvement, resulting in high usability. Challenges remain in sustaining engagement and addressing privacy concerns, especially for younger users.

CLINICALTRIAL
Research on Commercial Ethics Issues in the Medical Aesthetic Industry
Authors: Zhou Lili , Chen Panpan , Gao Kai
Published: October 2024

With the development of the economy and the improvement of living standards, the medical aesthetic industry has rapidly expanded worldwide. However, driven by the pursuit of beauty and profit maximization, numerous commercial ethical issues have surfaced within this industry. This study aims to explore the ethical challenges in the medical aesthetic industry, analyzing their causes, manifestations, and impacts. The paper reveals key problems such as false advertising, breaches of consumer privacy, unprofessional behavior, product safety and quality concerns, as well as issues like non-transparent pricing and excessive marketing. Moreover, the study proposes solutions and suggestions, including strengthening regulatory frameworks, enhancing industry self-regulation, and increasing consumer rights awareness, to promote the sustainable development of the medical aesthetic industry.
Transdisciplinary and Interdisciplinary Approaches, and Intentional Language Advocacy in English Language Teaching
Authors: Fan Liping
Published: October 2024

This paper explores the integration of transdisciplinary and interdisciplinary approaches in English language teaching, emphasizing the role of intentional language advocacy. It discusses the theoretical frameworks that support these approaches, their practical applications in the classroom, and the benefits they offer to learners. The paper also highlights the importance of intentional language advocacy in fostering a more inclusive and effective learning environment.
Assessment of Carbon Reserves in Nanchang City, Jiangxi Province, Using the InVEST Model
Authors: Wang Na , Lu Zhixiao , Song Fengyi , Cui Xiaojin , Kang Xin , Wang Ruei-Yuan
Published: October 2024

This study depends on the dynamic index of land use change and land transfer matrix, as well as the carbon module in the InVEST model. The features of land use change and carbon reserve change in Nanchang city from 2001 to 2021 were investigated, and the influence of land use change on carbon reserve was identified. The results show that, from 2001 to 2021, the area of cultivated land, water area, grassland, and bare land in Nanchang City decreased while the area of construction land and forest land increased. Under the influence of land use changes, the high-value areas of carbon reserves are mostly distributed in forest areas, including the northwest and southeast parts of Nanchang, whereas the low-value areas are mostly distributed in urban construction areas, including the central part of Nanchang, which is consistent with the current situation of urban land types. Overall, the carbon reserves of Nanchang City decreased from 2001 to 2021, primarily due to the decrease of cultivated land and the increase of construction land.
Wireless Network Security Prediction Using Machine Learning and Graph Neural Networks
Authors: Tripathi Dr. Diwakar Ramanuj , Kshirsagar Prajwal Rushi , Patil Vibhor Sheshrao
Published: October 2024

Abstract: We study the application of graph neural networks and machine learning in the prediction of risks to wireless networks. Advanced predictive methods are necessary, since mere security measures cannot thwart the rising complexity of cyber-attacks. In the present work, we will use a hybrid model that combines several machine learning methods to reduce false negatives and positives and improve accuracy in the prediction of risks to wireless networks. Models are trained and validated with large amounts of data that include the performance indicators for accuracy, precision, recall, F1-score, and AUC-ROC. From this, it is also seen that the hybrid model performs much better than the standard models in real-time threat detection. The impact of the size of the dataset on the performance of the model was also studied, and it has come out that larger datasets improve predictive powers significantly. The result demonstrated that the latest advancements in machine learning techniques can lead to important improvements in the security of wireless networks.
The Problem of Methodological Fixation of Analytical Jurisprudence
Authors: Alova D. G. , Iljushkin A. A.
Published: October 2024

The article examines the problem of the fixation of analytical jurisprudence on conceptual analysis of legal concepts. The first part of the work is devoted to the consideration of the latter as a heterogeneous method of analytical jurisprudence, in contrast to its limited understanding that prevails in current jurisprudence. The second and third parts trace the genesis of analytical jurisprudence from analytic philosophy. Based on the thoughts of Dagfinn Follesdal, an analogy is drawn between the paths of analytical jurisprudence and analytic philosophy. It is concluded that analytical jurisprudence in the doctrinal sense will go through a path of separation from conceptual analysis, which analytic philosophy has already passed. The fourth part of the article examines the foundations of analytical jurisprudence in the form of the legal theory of Herbert Hart, who, being the founder of analytical jurisprudence, defined the entire subsequent analytic tradition in jurisprudence in such a way that its focus is not limited only to issues of legal language. Based on this, it is concluded that initially in analytical jurisprudence it was not strict conceptual analysis that prevailed, but conceptual logic, which made it possible to develop legal teaching in a practical way and only later gave rise to linguistic studies of law. The thesis is brought up for discussion that analytical jurisprudence, like analytic philosophy in general, does without strict conceptual analysis for its constitution. It is enough for her to have more general ideas about proving and justifying her theses. In addition, in the fifth part of the article, parallels are drawn between conceptual analysis as a method of analytic philosophy and the concept of the hermeneutic circle, traditionally inherent in continental philosophy. The main thesis of the article submitted for discussion is the assertion that the methodological fixation of analytical jurisprudence, which has become established as a relevant research tradition, must be overcome, since it is justified exclusively discursively, and not on the basis of sound reflection.
Administrative Regulations: Concept, Features, Problems of a Legal Regulation
Authors: Lushnikova V. A.
Published: October 2024

The article analyzes a variety of normative legal acts, which is relatively new for the Russian legal system — administrative regulations. Signs that distinguish administrative regulations from other departmental regulatory legal acts are identified. The main stages of the inclusion of administrative regulations in the Russian legal reality in the course of the ongoing administrative reform are analyzed and considered. The author’s definition of administrative regulations is given, revealing their most essential characteristics. The types of administrative regulations are considered, their general and special features are revealed. The study made it possible to identify, formulate and characterize the main problems associated with the application of administrative regulations and suggest possible ways to solve them.
Mecanismo de ação do cannabidiol na doença de Parkinson
Authors: Figueira Gabrielly , Rodrigues Maria Tereza , Ventura Maria Beatriz , Silva Cristielly , Verboonen Valentina , Souza Vitória , Alves Vanessa , Ortiz Sandra
Published: October 2024

A doença de Parkinson (DP) é uma condição neurodegenerativa crônica caracterizada principalmente pela degeneração progressiva das células produtoras de dopamina na substância negra do cérebro.Há um interesse crescente no potencial terapêutico do canabidiol no manejo dos sintomas motores e não motores associados à DP.Estudos pré-clínicos e clínicos sugerem que a utilização de fitocanabinoides pode oferecer benefícios significativos na redução dos sintomas motores, melhora do sono, controle da dor e qualidade de vida geral dos pacientes com DP.O objetivo deste estudo é conduzir uma revisão da literatura sobre a aplicação do canabidiol no tratamento da DP. Foram consultadas fontes das bases de dados Lilacs, PubMed e Scielo.Os critérios de inclusão contemplaram artigos em português, inglês e espanhol, nos últimos 5 anos.Foram estabelecidos critérios de exclusão, os quais abrangem revisões sistemáticas, utilização de canabidiol sintético, investigações relacionadas a outras doenças neurodegenerativas e estudos realizados em animais e in vitro.Nos estudos avaliados, observamos uma melhora significativa nos sintomas motores e não motores, especialmente quando se utiliza uma combinação de canabidiol e THC.No entanto, isso foi acompanhado por um aumento dos efeitos colaterais relatados, como boca seca, tontura, dificuldades cognitivas, aumento do apetite ou peso, sonolência durante o dia, desequilíbrio, fadiga, palpitações, apatia e alucinações.De acordo com os estudos avaliados, pode-se notar que a utilização de fitocanabinoides como terapêutica para vem ganhando destaque e se mostram promissores aos benefícios, porém permanece altamente teórico, havendo necessidade de mais estudos clínicos randomizados e controlados, a fim de fornecer uma base científica mais robusta para aplicação clínica.
Explorando iPSCs na neurociência
Authors: Souza Leticia Rocha Quintino , Leal João Victor Loss Franklin , Botelho Amanda Araujo , Martins Robertta Silva
Published: October 2024

O uso de células-tronco pluripotentes induzidas (iPSCs) na neurociência do século 21 apresenta promessas e desafios significativos. Essas células, reprogramadas a partir de células somáticas adultas, têm o potencial de modelar doenças neurodegenerativas, como Alzheimer, Parkinson e Esclerose Lateral Amiotrófica, permitindo uma compreensão mais profunda dos mecanismos patológicos subjacentes. Além disso, as iPSCs oferecem oportunidades para o desenvolvimento de novas terapias, incluindo a triagem de medicamentos e a terapia celular, visando corrigir defeitos genéticos e restaurar a função neuronal. No entanto, o uso de iPSCs na neurociência enfrenta diversos desafios técnicos, científicos e éticos. A diferenciação eficiente das iPSCs em tipos celulares específicos do sistema nervoso central, a reprodutibilidade dos resultados e a garantia de segurança das terapias baseadas em iPSCs são algumas das questões críticas a serem abordadas. Além disso, preocupações éticas relacionadas à origem das células e à manipulação genética devem ser cuidadosamente consideradas. Apesar desses desafios, avanços significativos têm sido feitos na criação de modelos celulares mais sofisticados, como organoides cerebrais, que recapitulam características complexas do cérebro humano em desenvolvimento e em doenças. Integração de abordagens multidisciplinares, como inteligência artificial e big data, também pode oferecer insights valiosos para avançar na compreensão e tratamento de doenças neurológicas. Em suma, as iPSCs representam uma ferramenta poderosa na neurociência moderna, oferecendo novas oportunidades para elucidar os mecanismos das doenças neurodegenerativas e desenvolver terapias mais eficazes. No entanto, é necessário um esforço contínuo para superar os desafios técnicos, científicos e éticos associados ao seu uso.
memória enquanto patrimônio cultural
Authors: Freitas Aline de , Policarpo Luzia Maria de Sousa Carvalho , Carvalho Maria do Amparo Alves de , Nascimento Ana Luisa Meneses Lage do
Published: October 2024

Neste trabalho, usamos a oralidade para verificar as relações de pertencimento e da memória como forma de salvaguardar o patrimônio cultural, na comunidade da área do Sítio arqueológico Toca da Baixa dos Caboclos. O Sítio localiza-se no município de São João do Piauí, na área do Parque Nacional Serra da Capivara, Nordeste do Brasil, e possui uma diversidade de vestígios arqueológicos como urnas cerâmicas contendo enterramentos humanos datados por radiocarbono de 450 a 140 cal. anos antes do presente, ou seja, quatro séculos passados, além de artefatos líticos lascados e pinturas rupestres. As histórias contadas por Dona Isidória e membros de sua família, os proprietários da terra onde foi registrado o Sítio fazem referência à sua identificação como indígenas e descendentes dos grupos humanos ali sepultados. Nós transcrevemos as impressões dessas pessoas sobre as materialidades do passado e do presente. Fato que, em certa medida, molda sua memória social e identidade cultural e auxilia na preservação do patrimônio arqueológico local.
An adaptive learning based aberrance repressed multi-feature integrated correlation filter for Visual Object Tracking (VOT)
Authors: Masood Mubashar , Raja Gulistan
Published: October 2024

Target tracking via Correlation Filter (CF) is a hot research area of computer vision domain, and offers various credible benefits. Existing CF algorithms face challenges when there are target appearance variations due to background noise, scale and illumination changes, occlusion, and fast motion, which severely degrades the overall tracker performance. To get maximum benefits, an object tracker should perform well with the less computational burden in the presence of real time challenging situations. To address this issue, a novel visual object trackeris proposed based on multi feature fusion and adaptive learning technique with aberrance suppression. At first, multiple features i.e., Histogram of gradient (HOG), Color Naming (CN), saliency, and gray level intensities are combined using feature fusion technique. Further, based on the evaluation of final fused response map using Peak-to-Sidelobe Ratio (PSR), an adaptive learning strategy is integrated to improve the learning phase of tracker. Tracking results show that the proposed strategy beats the other modern CF trackers with Distance Precision (DP) scores of 88.2%, 85.9%, and 74.1% and 64.7% over OTB2013, OTB2015, and TempleColor128 and UAV123 datasets respectively.
Impact of employing phase change material in building wall on energy consumption and thermal comfort level
Authors: Soomro Abdul Rehman , Rossi Federico , Memon Mohsin Ali , Memon Rizwan Ahmed , Abbasi Abdul Fatah
Published: October 2024

Energy crises are becoming a problem for many, most of the energy being produced is utilized in buildings. Building design and materials that are used in buildings play a vital role in saving electricity. Sustainable cities are one of the eleventh goal of Sustainable Development Goals to be achieved and this study is in context of SDGs for developing tools to create this globe sustainable and efficient society for humans. Phase change material is a type of material that can absorb and release heat energy as it changes between solid and liquid states. This ability to store and release thermal energy makes PCM a promising material for use in building insulation, Heating Ventilation Air Conditioning Systems, and other energy efficient applications. The use of PCM in buildings has the potential to significantly reduce energy consumption and improve thermal comfort levels. By incorporating PCM into building envelopes, such as walls, roofs, and floors, the material can absorb excess heat during the day and release it at night, helping to regulate indoor temperatures and reduce the need for heating and cooling systems. This study investigates the impact of using PCM in building envelopes. In this regard office building rooms are modelled in CAD software and are simulated in energy plus software. The simulation results are validated by considering the experiment and numerical study as a reference from paper. Model room is simulated for Hyderabad, Pakistan. Building envelopes without PCM have conduction rate of around 106.6 W/m2, whereas building envelopes with PCM have conduction rate around 42 W/m2. This shows that utilization of PCM reduced heat conduction up to around 40%. PCM reduced energy consumption of around 33.25 kWh/year/m2. Results show that without PCM air temperature was above the thermal comfort value. it reached 300C in hot months, it reduced up to 270C with the incorporation of PCM.
Development and evaluation of a novel force myography (FMG) based human-machine interface for transradial prosthetics: A comparative study with electromyography (EMG) techniques
Authors: Jan Azam , Haq Ihtisham Ul , Anas Muhammad , Husnain Ghassan , Ahmad Waqas
Published: October 2024

Human-Machine Interfaces (HMIs) must bridge human skills with machine control, notably in active prosthesis. Electromyography (EMG) is the most popular prosthesis actuation method. However, researchers need new HMIs for active prosthesis development. This research introduces Forcemyography (FMG) based HMI using force- sensitive resistors (FSRs) to capture myoelectric data. A particularly constructed case with two integral parts—an internal and an exterior component—is FMG. This FMG enclosure adapts effortlessly to the user's limb and shape for best performance and comfort. FMG and sEMG were compared in the  experimental evaluation. Stability, forecast accuracy, hair and sweat resistance, wearability, and cost-effectiveness were examined. FMG signals outperformed sEMG signals in this comprehensive examination. FMG outperformed sEMG in stability and prediction accuracy. FMG produced outstanding results right from capture without post-processing, a unique advantage. The specialised enclosure protected FSRs from outside interference and delivered precise signals. The Forcemyography (FMG)-based HMI is a breakthrough in active prosthesis technology. Its versatility, consistent signal acquisition, and user-centric design promise improved human-machine interactions. FMG leads the way to smooth, intuitive, and efficient humanmachine interface.