bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors Associated with Axial Spondyloarthritis Remission in a Cohort of Saudi Patients with Longstanding Disease: A Multicenter Prospective
Cohort Study
Authors: Almansouri Abdulrahman Y , Alsindi Eman , Almani Ibraheem , Basalama Mohmed , Attar Suzan , Abdulaziz Sultana
Published: October 2024

Background/Aim:

Earlier treatment in axial spondyloarthritis (axSpA) was proposed to
alter disease prognosis in this often-challenging condition. We aimed to assess the proportion of
patients and prognostic factors associated with axSpA remission.

Objective:

The aim was to determine the number of patients with Ankylosing Spondylitis Disease
Activity Score with C-reactive protein (ASDAS-CRP) of <2.1 (inactive/moderate disease activity).
We also evaluated global functioning and health using the Assessment of Spondyloarthritis International
Society-Health Index (ASAS-HI).

Patients and Methods:

Patients with axSpA who were receiving targeted synthetic/biological disease-
modifying anti-rheumatic drug (ts/bDMARDs) treatments and visited the rheumatology units
at two tertiary-care centers between December 2021 and December 2022 were prospectively interviewed.
Data regarding patient demographics, disease features, active and previous ts/bDMARDs
treatments, and disease activity scores were obtained. Patients were assessed using the ASDAS-
CRP, ASDAS-erythrocyte sedimentation rate (ASDAS-ESR), Bath Ankylosing Spondylitis
Disease Activity Index (BASDAI), and ASAS-HI.

Results:

Overall, 60 patients with axSpA were included in this study (women, n = 35); 25 (41.7%)
and 36 (62.1%) achieved an ASDAS-CRP of <2.1 and an ASAS-HI of ≤5 (good health), respectively.
Out of the 60 patients, 75% (n = 45) were treated with anti-tumor necrosis factor. Factors
associated with achieving the target ASDAS-CRP included age (p = 0.019), sex (p = 0.015), employment
status (p = 0.015), education level (p = 0.030), and the number of previous ts/bDMARDs
treatments (p = 0.019). Additionally, the ASDAS-CRP strongly correlated with spinal
pain and moderately correlated with the ASAS-HI, BASDAI, and the number of previous ts/bDMARDs
treatments.

Conclusions:

Remission was observed in 41.7% of patients, indicating a challenge in achieving
target disease activity. However, 62.1% attained good health. Achieving remission was associated
with younger age, male sex, a higher level of education, lower level of spinal pain, better global
function by ASAS-HI, employment, and receiving their first ts/bDMARDs treatment. Our findings
may potentially improve disease prognosis with the earlier use of ts/bDMARDs in those without
favorable features by implementing an early axSpA intervention strategy.
A Low Transformed Tubal Rank Tensor Model Using a Spatial-Tubal Constraint for Sample Clustering with Cancer Multi-omics Data
Authors: Zhang Sheng-Nan , Gao Ying-Lian , Zhang Yu-Lin , Shang Junliang , Zheng Chun-Hou , Liu Jin-Xing
Published: October 2024

Background:

Since each dimension of a tensor can store different types of genomics data,
compared to matrix methods, utilizing tensor structure can provide a deeper understanding of
multi-dimensional data while also facilitating the discovery of more useful information related to
cancer. However, in reality, there are issues such as insufficient utilization of prior knowledge in
multi-omics data and limitations in the recovery of low-tubal-rank tensors. Therefore, the method
proposed in this article was developed.

Objective:

In this paper, we proposed a low transformed tubal rank tensor model (LTTRT) using a
spatial-tubal constraint to accurately partition different types of cancer samples and provide reliable
theoretical support for the identification, diagnosis, and treatment of cancer.

Method:

In the LTTRT method, the transformed tensor nuclear norm based on the transformed tensor
singular value decomposition is characterized by the low-rank tensor, which can explore the
global low-rank property of the tensor, resolving the challenge of the tensor nuclear norm-based
method not achieving the lowest tubal rank. Additionally, the introduction of weighted total variation
regularization is conducive to extracting more information from sequencing data in both spatial
and tubal dimensions, exploring cross-correlation features of multiple genomic data, and addressing
the problem of overlooking prior knowledge from various perspectives. In addition, the L1-norm is
used to improve sparsity. A symmetric Gauss‒Seidel-based alternating direction method of multipliers
(sGS-ADMM) is used to update the LTTRT model iteratively.

Results:

The experiments of sample clustering on multiple integrated cancer multi-omics datasets
show that the proposed LTTRT method is better than existing methods. Experimental results validate
the effectiveness of LTTRT in accurately partitioning different types of cancer samples.

result:

The experiments of sample clustering on multiple integrated cancer multi-omics datasets show that the proposed LTTRT method is better than existing methods. Experimental results validate the effectiveness of LTTRT in accurately partitioning different types of cancer samples.

Conclusion:

The LTTRT method achieves precise segmentation of different types of cancer samples.
Novel Emerging Targets Identification in Reducing Risk of Alzheimer’s Disease
Authors: Sharma Saurabh , Rahate Kalpana , Kumar Rahul
Published: October 2024

The accumulation of tau-containing neurofibrillary tangles and beta-amyloid
deposits has been identified as the hallmark of Alzheimer's disease. Alzheimer's disease (AD) is
a hereditary and neurological condition that can result in non-amnestic cognitive decline in less
common forms and amnestic memory loss in its classic form. While Alzheimer's disease is the
most prevalent cause of memory loss in middle-aged and older adults, other neurodegenerative
and cerebrovascular disorders can have an impact on the disease's clinical course. Designing
multi-target-directed ligands (MTDLs) is a very promising modern approach. This methodology
was designed specifically for treating disorders with complex pathological mechanisms.
Among these disorders is Alzheimer's disease (AD), which is currently the most prevalent
multifactorial neurodegenerative illness. Increased amounts of the amyloid βpeptide (Aβ) and
hyperphosphorylated tau protein, together with the loss of neurons and synapses, are linked to
Alzheimer's disease (AD). Additionally, there is evidence that the pathophysiology of this
condition is influenced by oxidative stress, metal ion dysregulation, inflammation, and failure
of the cell cycle regulatory system. Since Alzheimer's disease (AD) is a multi-factor illness,
there are many attractive targets for the development of anti-AD medications. These molecules
can be useful in treating AD since they are multi-target-directed. This review focuses on the
discovery of dual and multi-acting anti-AD drug candidates, especially hybrids made by
combining chemically active moieties that function against distinct targets. The first group of
substances consists of cholinesterase inhibitors with extra properties or those that function as
multiple binding site inhibitors. Natural products also provide numerous options for slowing the
progression and symptoms of many diseases, including Alzheimer's Meanwhile, Natural
chemical structures with the following characteristics: alkaloids, sterols, triterpenes, tannins,
flavonoids, polyphenols, and antioxidants as well as anti-inflammatory and anti-amyloidogenic
properties. We provide an overview of Alzheimer's disease pathophysiology and therapy targets
in this study. We also show several isolated chemicals and medicinal plants that are used to
treat and prevent the symptoms of Alzheimer's disease.
Leveraging Network Insights into Positive Emotions and Resilience for Better Life Satisfaction
Authors: Kyriazos Theodoros , Poga Mary
Published: October 2024

Introduction/Objective

Within a network analysis framework, this study explored the relationships between positive emotions, resilience, and life satisfaction. Positive emotions and resilience are critical to enhancing psychological well-being, but their complex interplay requires further investigation, particularly in a Greek adult population.

Methods

We conducted a cross-sectional study with 1,230 Greek adults (67.6% females, 32.4% males), using a network analysis to assess the relationships among positive emotions, resilience, and life satisfaction. Data were collected through the Scale of Positive and Negative Experience (SPANE-8), the Brief Resilience Scale (BRS), and the Satisfaction with Life Scale (SWLS). Network structures were constructed using the graphical LASSO technique for partial correlation analysis, and Bayesian networks were applied to generate Directed Acyclic Graphs (DAGs) to identify directional pathways. Centrality metrics were used to determine critical variables in the network.

Results

Happiness, pleasure, and contentment are examples of positive emotions that are central nodes in the network that are highly correlated with higher levels of life satisfaction. Resilience, primarily as a recovery mechanism from stress, showed weaker direct associations with life satisfaction. The DAG revealed that positive emotions significantly influenced life satisfaction, suggesting their pivotal role in improving well-being.

Conclusion

The findings underscore the importance of positive emotions in enhancing life satisfaction, suggesting that interventions targeting emotional well-being may be more effective than those focused solely on resilience. These insights offer a foundation for developing psychological interventions to improve life satisfaction.
CSSF-BL360: Color Segmentation-Based Bolt Localization and 0~360° Full-Scale Loosening Angle Detection in Single-Frame Images
Authors: Kang JingJie , Zhang Lijun , Yang Xiaoyu , Wang Ruolan , zhao Tianhao , cao Huake , Sang Jiarong
Published: October 2024

Introduction:

Bolt loosening detection plays a crucial role in ensuring structural safety.
Existing research using deep learning methods has the drawback of being applicable to limited
scenarios and typically requires at least two frames of images for comparison in subsequent angle
detection, with a limited range of detectable angles. Method: In this study, a color segmentation
method was first used to separate the red square gasket placed between the bolt and the base,
thereby locating the bolt area; then, the image was perspective-corrected using the four corners of
the red square gasket; finally, the red mark bars on the bolt and base were separated using the same
color segmentation method, and the geometric moments of the connected domains of the mark bars
were processed, combined with vector processing techniques, to achieve quantified detection of
bolt loosening angles within 0~360 degrees using a single frame image. In the verification experiments,
150 images were collected from different shooting angles and distances, and the bolt areas
to be tested were located using the color segmentation method, all with an IOU (Intersection over
Union) greater than 0.9317. Subsequent experiments set different variables, including different
shooting distances, bolt loosening angles, perspective angles, lighting conditions, bolt types, and
image rotation angles. Result: The results demonstrated that the method presented in this study
could accurately detect bolt loosening angles in multiple scenarios. Conclusion: Hence, it is capable
of measuring loosening angles within the range of 0~360 degrees using only a single frame image.

result:

In the verification experiments, 150 images were collected from different shooting angles and distances, and the bolt areas to be tested were located using the color segmentation method, all with an IOU(Intersection over Union) greater than 0.9317. Subsequent experiments set different variables, including different shooting distances, bolt loosening angles, perspective angles, lighting conditions, bolt types, and image rotation angles.
Mucormycosis: Current Perspectives on Treatment, Diagnosis, and Advancements
Authors: Biswas Tanya , Sharma Vikram , Mittal Ravi Kumar
Published: October 2024

Objective:

This review study examines mucormycosis treatment challenges, gaps in medicines,
and COVID-19-related effects. This paper examines diagnostic and drug development advances
while addressing safety and specificity.

Methods:

This review study searches PubMed, Web Science, and Scopus for relevant material.
Keywords associated with mucormycosis, therapy, diagnosis, medication advancement, and COVID-
19 are used to identify pertinent articles. Data extraction summarizes therapeutic obstacles, diagnostic
advances, and innovative drug options.

Results:

This review article covers mucormycosis therapy, diagnostics, and drug development. It
reveals limitations in present medicines, such as selectivity, safety, and resistance mechanisms. Diagnostic
advances and mucormycosis in COVID-19 have also been explored.

Conclusion:

This review emphasizes the need for more secure, specific mucormycosis therapies. It
discusses therapy obstacles, diagnostic advances, and new drug techniques. Overall, this research
emphasizes improving mucormycosis therapy to enhance patient outcomes.
Agricultural Resource Management Using Technologies Like AI, IoT, and Blockchain
Authors: Mahalle Ashish , Dongre Snehlata
Published: October 2024

The future of farming and farmers in India is smart farming, which uses
intelligence to integrate information technology and communication tools equipped
with sensors and actuators for embedded farm management. This involves using
emerging technologies like AI, IoT, and blockchain to employ robots, drones, and
artificial intelligence in the agricultural sector, which is modifying traditional farming
practices and simultaneously posing a variety of difficulties. The aim is to explore the
various tools and equipment used. Pesticides are an essential material used in
agricultural land to eliminate insects or other harmful organisms that affect crop yields.
However, excessive use of pesticides can result in problems such as decreased soil
fertility and an increase in insect species' immunity. To overcome these challenges, a
land-specific variable-rate spraying and directional spraying method can be employed,
which offers an accurate and flexible alternative strategy. Soil moisture is a crucial
parameter in agriculture as it affects plant growth and survival. Various factors like air
content, salinity, toxic substances, soil structure, temperature, and heat capacity of the
ground can affect soil moisture. Agriculture resource management can be enhanced by
designing various technologies like AI, IoT, and blockchain by using IoT sensors,
drones and satellites, AI-powered cameras, weather stations, crop yield predictions,
disease and pest detection, crop optimization, supply chain transparency, resource
optimization, online communities, and data sharing networks. AI optimizes resource
allocation and predicts outcomes. IoT provides real-time data for precision farming and
livestock monitoring, while blockchain ensures transparency and security in supply
chains and transactions, revolutionizing agricultural resource management. Agriculture
resource management using technologies like AI, IoT, and blockchain comes with
ample potential results like increasing efficiency in agricultural operations, enhancing
productivity, improving crop and livestock health, and facilitating knowledge sharing
and collaboration.
Parasitic Weeds and their Management
Authors: Kumar Rakesh , Kaur Pardeep , Robin
Published: October 2024

Parasitic flowering plants deprive the host plants of water, nutrients, and
assimilates. Data also suggests that parasites transmit inhibitory compounds to hosts.
Several species of the genera Striga and Orobanche (root parasites), as well as some
species of Cuscuta and Loranthus (stem parasites), are widely distributed worldwide
and cause substantial damage to economically important plants. The chapter elucidates
the optimal strategies for addressing the issues of parasite infestations by incorporating
a range of well-established methodologies. The effective management of parasitic
weeds can be achieved through the implementation of various strategies. These include
the cultivation of crop varieties that exhibit resistance or low susceptibility to the
parasites, utilizing non-host crops as trap crops, employing pre-emergent and postemergent herbicides in combination with bio-herbicides, and manually removing the
parasites.
An Integrated Approach to Weed Control in Sorghum and Pearl Millet
Authors: Kumar Rakesh , Kaur Pardeep , Robin
Published: October 2024

Sorghum and pearl millet are prominent cereal crops extensively cultivated
in India. These plant species are intentionally cultivated by agriculturalists with
constrained financial means who reside in arid and semi-arid geographical areas. The
presence of weeds significantly hinders the successful cultivation of these crops. The
unregulated growth of undesirable plant species has been empirically documented to
have a substantial negative impact on the agricultural output of sorghum and pearl
millet, potentially resulting in a decline of approximately 30-40%. Therefore, this
chapter elucidates the amalgamated approaches for weed management in the
cultivation of sorghum and pearl millet, encompassing cultural, cropping, and chemical
methods that are both economically viable and readily implementable for farmers
residing in arid and semi-arid regions.
Integrated Weed Management in Oilseeds
Authors: Kumar Rakesh , Kaur Pardeep , Robin
Published: October 2024

In India's economy, oilseeds rank second only to cereal grains as the main
source of vegetable oils. They are grown on 24 million hectares under various
agroecological conditions, cropping techniques, and management practices. Weeds
compete with crops for light, moisture, nutrients, and space and pose significant threats
to oilseed crops, impacting yield and quality. This chapter provides a concise overview
of the primary weed species found in oilseed crops, along with their associated
reduction in crop yield and recommended methods for control. Integrated weed
management establishes a balanced agricultural ecosystem, strengthening sustainability
and productivity in oilseed cultivation.
Fine Granularity Conceptual Model for Bilinearity Fusion Features and Learning Methods in Multilayer Feature Extraction
Authors: Yadav Satya Prakash , Naruka Mahaveer Singh , Upadhyay Prashant , Chamoli Sushant , Pokhariyal Rajesh
Published: October 2024

This research presents a novel approach for fine granularity image analysis
by combining bilinearity fusion features and learning methods. A depth convolutional
network model, VGG16, is utilized to extract multilayer features from the fine
granularity images. The proposed method involves the fusion of features extracted
from VGG-16conv4_1, VGG-16conv4_2, and VGG-16conv4_3 using bilinear feature
descriptors. The fused features are then fed into a softmax-based multi-class classifier
to obtain classification results. The preprocessing phase involves data enhancement
techniques such as subtracting image mean value, noise elimination, random cropping,
and image level overturning. By leveraging the fusion of fine granularity image
multilayer features, the proposed approach enhances classification precision even with
only image-level classification information.
Transitioning Perspectives in Digital Health Through Phenomenology Integration (Preprint)
Authors: Fiordelli Maddalena
Published: October 2024

UNSTRUCTURED

The evolution of digital health, from its early days as eHealth to its current expansive scope, reflects a significant transformation in health care delivery and management. This transition underscores the integration of digital technologies across the health continuum from prevention and diagnosis to treatment and rehabilitation. The emergence of digital health has introduced innovative solutions but also posed challenges, particularly in aligning technological advancements with health needs, human experiences, and ethical considerations. This position paper aims to explore the integration of phenomenology in digital health, advocating for a paradigm that emphasizes the centrality of human experience in the design and implementation of digital health solutions. It specifically seeks to address challenges related to relevance for individuals who “speak” different languages, ensuring long-term use, addressing digital and health literacy, coordinating various sources, and navigating ethical issues in the rapidly evolving digital health landscape. Drawing upon years of research and practical experience in communication technologies and health, this paper uses a reflective approach to examine the intersection of digital health and phenomenology. It reviews the historical development of digital health, identifies the challenges faced during its evolution, and discusses the potential of phenomenological methods to enhance user-centered design and ethical practices in digital health. The integration of phenomenology into digital health facilitates a deeper understanding of user experiences, enabling the development of more responsive and ethical digital health solutions. Participatory design models, informed by phenomenological perspectives, offer a pathway to bridge the gap between technological innovation and human-centric health care. The paper highlights successful practices in digital health development, including mobile apps for vaccination decision-making and platforms for managing chronic conditions, illustrating the benefits of a phenomenological approach. Transitioning perspectives in digital health through phenomenology integration represents a critical step toward realizing the full potential of digital technologies in health care.
Geopolitical conflict's impact on author affiliation: Misattribution of Ukrainian cities in research (Preprint)
Authors: Sebo Paul
Published: October 2024

UNSTRUCTURED

This preliminary study investigates the impact of geopolitical events, specifically the annexation of Crimea and the war in Ukraine, on academic publishing. It focuses on whether researchers listed Ukrainian cities as part of Russia in their author affiliations, despite international law recognizing these cities as Ukrainian. Using PubMed, the study analyzed articles published since 2014 that referenced Ukraine's 50 most populous cities and those hosting the top 50 medical universities. The analysis identified 413 articles where Ukrainian cities were misattributed as Russian, representing 2.3% of relevant articles on PubMed. Simferopol and Sevastopol were the most frequently misattributed cities. These findings highlight how geopolitical conflicts can influence academic record-keeping, raising concerns about accuracy and integrity in scholarly work. This preliminary study emphasizes the importance of vigilance in academic publishing, especially in the context of geopolitical tensions.
Remote monitoring of cardiac implantable electronic devices in Australia, barriers and enablers of routine clinical practice implementation (Preprint)
Authors: Sheahen Brodie , O'Hagan Edel , Cho Kenneth , Shaw Tim , Lee Astin , Lal Sean , Sverdlov Aaron , Chow Clara
Published: October 2024

BACKGROUND

The use of remote monitoring technology for patients with cardiac implantable electronic devices (CIED) is the standard of care as highlighted by international guidelines. However, remote monitoring has not yet been integrated to universal, routine clinical practice.

OBJECTIVE

We aimed to identify barriers and enablers of routine implementation of CIED remote monitoring.

METHODS

We conducted semi-structured interview to explore the barriers and enablers encountered when incorporating remote monitoring to CIED management. Participants included a broad range of stakeholders including cardiologists, cardiac clinicians/physiologists, nurses and patients. Interviews were transcribed verbatim and analysed through inductive thematic analysis and deductive approaches. We used the theoretical domains framework to understand barriers and enablers through an implementation science lens. Our study aligns with the COnsolidated criteria for REporting Qualitative (COREQ) research checklist.

RESULTS

35 interviews were conducted, including 16 patients, 10 cardiologists, and 9 cardiac physiologists and nurses. Five main themes and 13 subthemes were identified. The five main themes and the associated subthemes were 1) Patient benefits from remote monitoring, such as improved CIED and Cardiovascular management, and improved patient-centred care; 2) Insufficient allocation of CIED remote monitoring resources, which included insufficient funding and staffing, insufficient reimbursement, infrastructure and access inequity; 3) Suboptimal management of data which includes inconsistent workflow, lack of guidance for clinic staff and has resulted in an increased alert burden; 4) Insufficient patient education post-CIED implant, this was attributed to limited healthcare worker availability and resulted in inadequate patient knowledge and anxiety associated with remote monitoring; and 5) Patient engagement with CIED management, which included the need for increased patient interaction and ability to share data with patients. These subthemes were mapped to 6 specific domains of the theoretical domains framework: ‘Beliefs about capabilities’, ‘Environmental Context and Resources’, ‘Beliefs about consequences’, ‘Knowledge’, ‘Emotions’, and ‘Goals’.

CONCLUSIONS

Patient engagement was identified in 3 of the 5 themes describing barriers and enablers to RM. These highlight the importance of addressing patient engagement with RM to better implement and integrate the use of RM into routine clinical practice. Barriers and enablers extend across multiple domains and suggest a multi-pronged approach is required to translate the gold standard care of remote monitoring to routine clinical practice.
Application of BOPPPS Collaborative Case Teaching Method in Construction Law Classroom Instruction
Authors: Jing Gao , Yang Liu , Chun Xiao Wang , Zhao Qiang Wu
Published: October 2024

This study focuses on students majoring in Engineering Management and explores the teaching model of the BOPPPS Collaborative Case Teaching Method in the Construction Law course. The research involves reforming the teaching model, introducing construction law cases, utilizing online platforms, and improving evaluation methods. The aim is to “activate” the classroom, shifting from traditional teaching to guided learning, achieving a synchronous resonance between teaching and learning. This approach intends to provide students with the time and space to enhance their ability to explore new knowledge and analyze and solve problems. It also seeks to improve students’ awareness of engineering and law, cultivate their innovative abilities, and contribute positively to enhancing the quality of talent cultivation in higher education institutions.
A Study on Advertising Strategies of Yana Travels, Bengaluru
Authors: Bhatta K Srikanth
Published: October 2024

Advertising strategies referto the overall plan or approach that a business or organization usesto promote its products or services to a target audience. These strategies are designed to create awareness, generate interest, and ultimately persuade potential customers to take specific actions, such as making a purchase, signing up for a service, or engaging with a brand. Advertising strategies refer to the planned approach businesses use to promote their products or services to target audiences, aiming to achieve specific marketing objectives such as brand awareness, customer engagement, and sales growth. In this study, we delve into the advertising strategies adopted by travel companies, examining how these firms design and execute campaigns to stand out in a highly competitive industry. With the rise of digital platforms and evolving consumer preferences, travel companies are now leveraging diverse advertising channels, including social media, influencer partnerships, search engine optimization (SEO), and paid online ads, alongside traditional media such as television and print. This article explores how these strategies are crafted to resonate with various customer segments, addressmarket seasonality, and enhance brand visibility. The research also evaluates the impact of these advertising efforts on customer engagement, brand loyalty, and return on investment (ROI). By offering insights into successful marketing approaches, this study aims to guide travel companies in refining their advertising strategies to stay competitive in a rapidly changing marketplace.
GPS Tracking and Indoor Navigation System
Authors: Shah Ms. Foram
Published: October 2024

This project is an idea of developing an application based on a navigation system formed by Graph Data Structure. An indoor positioning system (IPS) can be thought of as a global positioning system (GPS) for indoor venues. While GPS is used outdoors, IPS can detect real-time locations to accurately determine the coordinates of people or assets inside a building. These coordinates are typically represented visually by a blue dot on a digital indoor map to provide additional context to users and features such as wayfinding. The project aims to have certain objectives such as a tracking system, navigation system that is inside a small area of a building. This idea aims to track the location of any particular device within a building and show a navigation to that device in an efficient manner. Not only tracking of devices but also solving a problem of finding a particular room in the building through data of different paths that is stored. This project comes under the intelligent system design and development domain and falls under the sector of analysing and designing hardware, software and operating systems for computers. The main objective of this system design is to navigate through the area and find places to reach with ease and as fast as possible, it is helpful for people who are new at that place and even finding a user in that particular vicinity by live tracking technique.
Optimizing Supplier Selection using Fuzzy MCDM
Authors: Karthikeyan Dr. B.
Published: October 2024

This study explores the supplier selection problem within technology manufacturing by employing the Fuzzy Analytic Hierarchy Process (FAHP). Data was collected from a technology manufacturing company, and expert evaluations were sought from professionals with over 10 years of experience in the industry. The criteria considered for supplier selection included profitability of the supplier (C1), relationship closeness (C2), technological capability (C3), conformance quality (C4), and conflict (C5). The FAHP results indicated that relationship closeness (C2) ranked highest among the criteria, highlighting its significance in the supplier selection process, while conflict (C5) received the lowest ranking. These findings emphasize the importance of nurturing strong relationships with suppliers and vendors to enhance overall supply chain performance. The proposed FAHP model effectively addresses the complexities and uncertainties inherent in supplier evaluation, offering a robust decision-making tool tailored to the specific needs of technology manufacturing companies
Mathematical connection skills of junior high school students in solving system of linear equations in two variables problems
Authors: Sulistiyowati Luluk , Wahyuni Indah
Published: October 2024

Students mathematical connection skills are valuable dimension that teachers must put into consideration so that students can develop and link their mathematical skills with knowledge beyond Mathematics. This research aimed to analyze the mathematical connection skills of Junior High School students when solving the System of Linear Equations in Two Variables (Sistem Persamaan Linear Dua Variabel/SPLDV) problem. Students mathematical connection skills are valuable dimension that teachers must put into consideration so that students can develop and link their mathematical skills with knowledge beyond Mathematics. This research aims to analyze the mathematical connection skills of Junior High School students when solving the SPLDV problem. This research made use of Qualitative approach by which 18 students of grade VIII from SMP Argopuro 1 Panti Jember, East Java, participated. Mathematical connection skill test and interview guideline were conducted for this research. Data triangulation technique was used to process and compile data for the research report. The findings of the research discovered that students with high level of mathematical connection skills were able to relate and implement their knowledge to different kinds of situations, and students with medium level of mathematical connection skills were only able to apply their knowledge to simple situations, meanwhile students with low level of mathematical connection skills were unable to relate and implement their knowledge to a variety of situations.
Option pricing under stochastic volatility on a quantum computer
Authors: Wang Guoming , Kan Angus
Published: October 2024

We develop quantum algorithms for pricing Asian and barrier options under the Heston model, a popular stochastic volatility model, and estimate their costs, in terms of T-count, T-depth and number of logical qubits, on instances under typical market conditions. These algorithms are based on combining well-established numerical methods for stochastic differential equations and quantum amplitude estimation technique. In particular, we empirically show that, despite its simplicity, weak Euler method achieves the same level of accuracy as the better-known strong Euler method in this task. Furthermore, by eliminating the expensive procedure of preparing Gaussian states, the quantum algorithm based on weak Euler scheme achieves drastically better efficiency than the one based on strong Euler scheme. Our resource analysis suggests that option pricing under stochastic volatility is a promising application of quantum computers, and that our algorithms render the hardware requirement for reaching practical quantum advantage in financial applications less stringent than prior art.
Lazer noturno e resistências juvenis em tempos de (pós-)pandemia: o caso dos jovens do bar Antù em Lisboa
Authors: Costa Guilherme Teixeira , Raposo Otávio , Martins João Carlos , Garcia-Ruiz Manuel , Nofre Jordi
Published: October 2024

Com a chegada da pandemia de COVID-19, milhares de jovens deixaram de poder usufruir da noite de Lisboa. Como resultado, os jovens não tiveram oportunidade de esquecer os seus problemas do quotidiano por intermédio das práticas de consumo programado pelo lazer noturno. Assim, neste artigo exploramos as alternativas postas em prática para que os jovens desfrutassem de momentos de lazer durante a (pós-)pandemia. Aqui, e recorrendo a um estudo de caso relativo a um grupo de jovens alternativos situado em frente do bar Antù, uma das zonas de lazer noturno mais animadas da Pink Street, em Lisboa, iremos: i. rever longitudalmente as medidas que impactaram a indústria noturna e os seus efeitos sobre o grupo de jovens alternativos; ii. descrever a forma como o grupo de jovens alternativos se apropriou do espaço urbano da noite festiva durante a pandemia. Aqui apresentamos parte dos dados etnográficos coletados durante 2020-2022, excertos de entrevistas com alguns membros do grupo de jovens alternativos e uma profunda revisão documental de notícias e de elementos legais publicados no mesmo período. Acabamos a ilustrar a insatisfação sentida pelo grupo de jovens alternativos para com as medidas impostas pelo governo, uma vez que estas tendem a racializar, estigmatizar, repreender e punir o grupo.
CONTEXTUALIZAÇÃO ECONÔMICA, AMBIENTAL E SOCIAL DAS ASSOCIAÇÕES DE RECICLADORES E CATADORES NO MUNICÍPIO DE ERECHIM, RS
Authors: Brustolin Fernanda Testa , Roth Joyce Cristina Gonçalvez , Cardoso André de Lima , Bohrer Robson Evaldo Gehlen
Published: October 2024

O aumento da população e o capitalismo aliados ao estabelecimento da gestão compartilhada de resíduos sólidos e a economia solidária previstos nas políticas públicas ambientais, trouxeram a necessidade de incentivar o estabelecimento de cooperativas e associações de catadores de materiais recicláveis. Dada a importância ambiental vinculada aos instrumentos previstos na Política Nacional de Resíduos Sólidos, este trabalho buscou realizar uma contextualização econômica, ambiental e social das associações de reciclagem do município de Erechim, RS. Para isso, foi realizado um levantamento bibliográfico e documental para a coleta das informações e dados quali-quantitativos pertinentes a operacionalização dessas entidades. Os dados coletados fazem referência ao mês de março de 2022. Os trabalhadores dessas associações são agentes fundamentais na busca pela sustentabilidade e desenvolvimento ambiental, vinculado as políticas ambientais. O município contém mais de 100 associados, cuja renda familiar é 100% dependente do trabalho desenvolvido nas associações na triagem dos resíduos sólidos. No mês de março as seis associações cadastradas no município realizaram a triagem e processamento de 261,44 toneladas gerando uma média de R$ 2.028,70 de renda mensal. A reciclagem traz aos associados uma fonte de renda para as famílias. Infelizmente, os catadores ainda são pessoas excluídas da sociedade, com a baixa escolaridade e poucas condições de ser inseridas no mercado de trabalho formal. Percebe-se ainda que os principais desafios do setor estão vinculados à sensibilização dos geradores e o entendimento do conceito de Responsabilidade Compartilhada.
A AMARRA DA PRODUTIVIDADE DO TRABALHO NO CRESCIMENTO ECONÔMICO DO ESTADO DO MARANHÃO ENTRE 1994 E 2016
Authors: Sousa Carlos Henrique Candido de
Published: October 2024

Entender os fatores econômicos que mantiveram a produtividade do trabalho, medida pela renda per capita do trabalho, do estado do Maranhão, amarrada a níveis muito baixos comparada a outros estados do Brasil é o principal problema colocado neste trabalho. O recurso utilizado para esse fim é recorrer à análise da contabilidade do crescimento. Através de uma função de produção do tipo Cobb-Douglas, constrói-se séries para o estoque de capital físico, para o trabalho e estima-se o “resíduo de Solow” que reflete todos os efeitos sobre a renda per capita não decorrentes do acúmulo de capital. Como a renda é diretamente relacionada pelo PIB por trabalhador e pela taxa de participação da força de trabalho, pela avaliação dessas duas variáveis demonstrou-se que o estado alcançou baixos níveis de crescimento nos últimos 22 anos porque não ofereceu incentivos adequados tanto para o investimento das empresas quanto para o investimento das pessoas. A Produtividade total dos fatores e seus determinantes, como a melhora do capital humano, melhoria e ampliação da infraestrutura e melhora do ambiente de negócios, são os fatos avaliados neste estudo que tiveram maior impacto sobre o crescimento da renda local, e que possibilitam, portanto, à pesquisa e à política econômica no Maranhão oferecerem resultados mais satisfatórios para a sociedade.
ANÁLISE DO EMPREGO FORMAL NA REGIÃO METROPOLITANA DE FEIRA DE SANTANA PARA O PERÍODO 2020 E 2022
Authors: Silva Silmara Santos , Duarte Leandro Batista , Silva dos Santos Verônica Ferreira
Published: October 2024

Este estudo analisa a dinâmica do mercado de trabalho na Região Metropolitana de Feira de Santana, compreendendo as mudanças ocorridas no cenário do emprego formal na região durante o ano de 2020 e 2022. O período analisado abrange eventos cruciais, como a pandemia da COVID-19, que impactou significativamente a dinâmica do emprego e o período de recuperação do mercado de trabalho. A principal fonte de dados para embasar as análises é o banco de dados divulgado mensalmente pelo Ministério do Trabalho e do Emprego por meio do Novo Caged (Cadastro Geral de Emprego e Desemprego). A metodologia aplicada na pesquisa consistiu na análise descritiva dos dados estatísticos. Em 2020, a região enfrentou desafios, com queda acentuada nos empregos formais devido à pandemia, especialmente nos setores de comércio e serviços. No entanto, evidenciou resiliência ao se adaptar, incorporando o trabalho remoto e digitalizando procedimentos. Em 2022, sinais de recuperação surgiram, com aumento nas admissões e saldos positivos, impulsionados pela vacinação, redução de restrições e programas governamentais.
TECNOLOGIAS EDUCACIONAIS COMO RECURSOS PARA ENSINO SOBRE SEGURANÇA DO PACIENTE: PROTOCOLO DE UMA REVISÃO UMBRELLA
Authors: Genkawa Isabela Campos , Duffeck Lorrani Lopes , Silveira Julia Laurentino , Ribeiro Elaine Rossi
Published: October 2024

This is an umbrella review protocol that seeks to explore a variety of educational technologies used to facilitate teaching patient safety. By understanding how educational technologies have been used in this field, we can evaluate their effectiveness, benefits, challenges, and ways to improve and optimize these approaches in order to improve educational outcomes and, consequently, the safety and quality of patient care. The objective was to map the applicability of digital technologies for teaching patient safety. It will follow the methodology of the Joanna Briggs Institute review manual, with searches in the Web of Science, PubMed, ScienceDirect, Embase, and SciELO databases, with the descriptors “Digital technology,” “Patient safety,” “Nursing students,” and “Medical students”. The aim is to identify the digital technologies that support the teaching of patient safety, understanding their applicability and effectiveness.
Notas acerca del deslindamiento de la φαντασία en De anima III iii
Authors: Sinnott Eduardo
Published: October 2024

Este trabajo examina, a lo largo de la lectura, la terminología, los detalles, el desarrollo y los criterios analíticos que Aristóteles emplea en De anima III iii para establecer la noción de φαντασία como una capacidad psicológica específica. Se busca justificar y legitimar esta noción dentro del contexto de la psicología. El enfoque del tratamiento aristotélico de la φαντασία en este capítulo es principalmente dialéctico y descriptivo, alineándose con la metodología presentada en los Tópicos. Debido a su naturaleza descriptiva, estos análisis requieren como complemento la consideración del enfoque explicativo o “natural” sobre el mismo tema, que Aristóteles aborda en los Parva naturalia.
THE IMPACT OF VIRTUAL COMMUNITIES ON ENHANCING HEDONISTIC CONSUMER ATTITUDES
Authors: Mącik Radosław , Nalewajek Monika
Published: October 2024

Paper presents conceptual issues connected with virtual communities impact on hedonistic consumer attitudes on the base of scholarly literature and secondary sources such as research reports. There are examples of such impact provided with mention of different kind of communities and possible differences between X, Y and C generations. Virtual communities, particularly social networking sites (in paper mainly Facebook.com and Pinterest.com were considered), and blogs (for this case particularly fashion and other life-style ones), are natural places for young consumers to view, communicate, share and create own content. Ease to use, 24/7 access and overwhelming presence of social media favors their usage by young consumers to spread not only information, pictures and videos, but – what is important from social and marketing points of view – also values and attitudes. Hedonic values and hedonistic attitudes are important part of life-style of such consumers, and social media usage allows them to fulfill hedonic needs, so virtual communities are responsible for spreading and enhancing hedonistic attitudes among consumers, attitudes which presently cannot be classified as simply consumption related, but still focused on consumer pleasure gained from e.g. design, style, and own engagement in DIY activities.
Zarządzanie marką w e-przestrzeni
Authors: Rybak Anna
Published: October 2024

Budowanie marki w świecie wirtualnym jest warunkiem koniecznym dla rozwoju przedsiębiorstwa. Pytaniem otwartym pozostaje tylko jak wzmocnić tożsamość marki, by stała się ona lubiana i szanowana przez interesariuszy. Marka winna definiować przedsiębiorstwo, stwarzać poczucie luksusu i wartości dla każdego klienta, pracownika czy właściciela. Powinna być energią, prowadzącą do zmian, które dostarczą nadzwyczajnych wyników. Lepsze dopasowanie się do potrzeb, upodobań i oczekiwań klientów pozwoli przedsiębiorstwu na osiągnięcie sukcesu.
POSSIBILITIES OF APPLYING STANDARD TOOLS OF PROMOTION IN PLACE MARKETING
Authors: Sekuła Alicja
Published: October 2024

The purpose of this article is to present the tools of promotion that can be used by local government units in the developing and implementing of marketing strategies. The article evaluates a set of four basic tools of promotion comprising advertising, public relations and publicity, sales promotion and personal selling. This group was supplemented by direct marketing, presented from the point of view of communication via the Internet.
Specyfika zarządzania marką w aspekcie budowania pozycji konkurencyjnej przedsiębiorstwa
Authors: Szymankowska Agnieszka
Published: October 2024

Celem niniejszego opracowania jest omówienie zasad wynikających z procesu zarządzania marką. Problematyka zarządzania marką została przeanalizowana w kontekście budowania pozycji konkurencyjnej firmy na rynku, na którym działa w oparciu o dostępną z tego zakresu literaturę przedmiotu. Rozważania dokonano analizując determinanty silnej marki oraz poszczególne działania marketingowe wynikające ze stosowanych przez przedsiębiorstwa elementów mieszanki marketingowej. Całość jest próbą ukazania roli poszczególnych działań składających się na proces zarządzania marką w zdobywaniu i umacnianiu przez przedsiębiorstwo pozycji na rynku, na którym działa i konkuruje z innymi podmiotami w zakresie zaspokajania potrzeb klientów, dążąc tym samym do pozyskania grupy osób lojalnych w stosunku do kreowanej marki.
TYPOLOGY OF MARKETING STRATEGIES FOR COMPANIES OF FOOD INDUSTRY
Authors: Szwacka-Mokrzycka Joanna
Published: October 2024

The paper presents the typology of marketing strategies for food industry companies in Poland. The aim of this article is to determine the most effective strategies for food industry sector in Poland. The results of estimation of the selected food markets attractiveness (based on Porter’s 5 forces analysis) and segmentation (based on cyclical study TGI) are the base of typology of marketing strategies. Presented typology of marketing strategies based on research conducted in the period 1998-2012. In the framework of food industry there were selected the following branches for segmentation research: dairy, meat and edible fats. The results of research allowed to determination of possibilities of implementation of marketing strategies on the selected food markets. There are possibilities of wider use of strategies of market penetration and development and strategy of influencing on purchasers. The next recommended group are strategies of cooperation with partners in the field of distribution and strategy of the cost leadership, especially for large companies, which benefit from economies of scale. Next proposal is connected with differentiation strategy recommended for producers of new-generation products.