bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistemas de Referência e Contrarreferência: Percepção dos Cirurgiões-Dentistas da Atenção Primária à Saúde
Authors: Pereira Emanoel Silva , Silva Gabriele Gomes Nunes da , Gomes Barros Paulo André
Published: January 2025

Objetivo: O presente estudo buscou avaliar o sistema de referência e contrarreferência quanto ao acesso e o fluxo na percepção dos Cirurgiões-Dentistas da Atenção Básica de um município do estado do Pernambuco. Métodos: A população do estudo compreendeu CD atuantes em Unidades de Saúde da Família ou Unidades Básicas de Saúde deste município. A coleta de dados ocorreu por meio de um questionário composto por sete perguntas objetivas e uma discursiva. Todos os dados recolhidos foram tabulados e analisados no software estatístico IBM SPSS 20.0®. Resultados: A amostra final foi constituída por dezesseis Cirurgiões-Dentistas. A maior parte dos profissionais relataram que costumam referenciar os pacientes da Atenção Básica para a Atenção Secundária (87,5%). No tocante as especialidades mais referenciadas, a Endodontia sobressaiu-se em relação as demais (41%). Quanto a receber a contrarreferência dos pacientes referenciados, 43,8% informaram receber às vezes, enquanto 31,3% não recebiam. A Endodontia foi a especialidade mais recebida na contrarreferência. Para os participantes, os principais motivos que podem impedir a realização de uma referência e contrarreferência eficiente foram: alta demanda de pacientes e escassez de profissionais. Conclusões: Os resultados deste estudo indicam que há uma considerável adesão dos Cirurgiões-Dentistas da Atenção Básica do município de Serra Talhada à prática de referenciar pacientes para o Centro de Especialidades Odontológicas, bem como o conhecimento de possíveis desafios que podem dificultar a realização de uma referência e contrarreferência eficazes, por outro lado, a recepção da contrarreferência apresenta-se insatisfatória.
Application of the Modified Runge-Kutta Method to the Construction of the Descent Method for Solving Boundary Value Problems
Authors:   St. Petersburg State University, Krivovichev Gerasim Vladimirovich , Egorov Nikolay Vasil'evich ,   St. Petersburg State University
Published: January 2025

The work is devoted to the construction and analysis of the gradient method based on a modified explicit second-order Runge--Kutta method, constructed using the Lagrange--Burmann expansion. A two-step method with inertia based on the heavy ball method is proposed. Convergence theorems are proven for strongly convex quadratic and perturbed quadratic functions. Analytical expressions for the optimal parameters of the method are obtained. For the quadratic function it is demonstrated, that the proposed method converges faster, than other well-known accelerated methods. The results of the application of the method to the numerical solution of linear and nonlinear boundary value problems (Dirichlet problem for a 3D Poisson equation, problems from the calculus of variations, problems for integro-differential equations) are presented. It is demonstrated that, in comparison with well-known methods, the proposed method allows one to obtain a numerical solution with the required accuracy for different grid resolutions in a smaller number of iterations and time.
Visualization of Compositions of Multidimensional Objects with Local Descriptions in Metric Machine Learning Algorithms
Authors:   Institute for Transport Problems of the Russian Academy of Sciences (IPT RAS), Diuk Viacheslav Anatolievich
Published: January 2025

In various fields, artificial intelligence (AI) models are increasingly used for decision-making based on machine learning. In metric machine learning methods, objects are treated as precedents, and only one operation is used: determining the similarity (difference) between these precedents and an unknown object. The main limitation of existing metric methods is related to representing a common feature space for all objects and, consequently, a single measure for measuring distances between objects. This limitation is overcome by constructing a unique local feature space for each object and finding individual measures that determine the hierarchy of its similarity to other objects, relevant to the given context. The article discusses the problem of analyzing sets of objects with local descriptions and proposes a solution using d(S)-metrics, which reflect differences in distance series between the same objects but in different local spaces. Introducing d(S)-metrics allows for further visual analysis of compositions of objects with local descriptions using multidimensional metric scaling. The article provides a practical example of such analysis in the task of recognizing vehicle types based on geometric features of their silhouettes.
Impacto dos investimentos socioambientais sobre a taxa de crescimento de empresas brasileiras
Authors:   , Ferreira Vanessa Elionara Souza
Published: January 2025

A atenção voltada para ações que envolvam responsabilidade social por parte das empresas tem sido um tema cada vez mais recorrente na literatura. O cenário econômico atual tem exigido das organizações uma postura mais ética e voltada para as questões socioambientais, indo além das questões financeiras tradicionais. Mais do que uma função social das organizações, os investimentos socioambientais passaram a representar uma estratégia competitiva. Diversos estudos têm analisado os impactos de tais investimentos sobre o desempenho econômico das organizações, porém não existe um consenso quanto a sua importância e nível de relação. Nesse sentido, o presente estudo tem como objetivo verificar a relação entre os investimentos socioambientais e a taxa de crescimento econômico de empresas brasileiras. Para isso, foi coletado no Balanço Social dados econômicos de uma amostra de 130 empresas, com publicações ao longo do período entre 2000 e 2008, e a partir dos dados em painel e com o auxílio de uma ferramenta estatística foi estimado um modelo de regressão buscando a visualização da relação entre os investimentos socioambientais e métricas de desempenho econômico, tais como a taxa dos resultados operacionais e líquidos da firma. Embora a relação entre os investimentos sociais externos e as taxas de crescimento aplicadas tenha consistido em um padrão no formato de uma curva U, os investimentos sociais internos e ambientais apresentaram, conforme esperado, um padrão no formato de uma curva U-invertida, segundo apresentado por Kuznets (1955), com base na quais foi possível verificar o nível de investimento que maximiza o desempenho da firma. Tomando conhecimento de tais valores podem-se identificar quais empresas operam em níveis abaixo do nível ‘ótimo’, sugerindo a taxa de crescimento necessária para alcançar os níveis de equilíbrio.
Advancing COVID-19 Treatment: The Role of Non-covalent Inhibitors Unveiled by Integrated Machine Learning and Network Pharmacology
Authors: Qadir Saba , Alshabrmi Fahad M. , Aba Alkhayl Faris F. , Muzammil Aqsa , Kaur Snehpreet , Rehman Abdur
Published: January 2025

Introduction:

The COVID-19 pandemic has necessitated rapid advancements in therapeutic discovery.
This study presents an integrated approach combining machine learning (ML) and network pharmacology
to identify potential non-covalent inhibitors against pivotal proteins in COVID-19 pathogenesis, specifically
B-cell lymphoma 2 (BCL2) and Epidermal Growth Factor Receptor (EGFR).

Method:

Employing a dataset of 13,107 compounds, ML algorithms such as k-Nearest Neighbors (kNN),
Support Vector Machine (SVM), Random Forest (RF), and Naïve Bayes (NB) were utilized for screening and
predicting active inhibitors based on molecular features. Molecular docking and molecular dynamics simulations,
conducted over a 100 nanosecond period, enhanced the ML-based screening by providing insights into
the binding affinities and interaction dynamics with BCL2 and EGFR. Network pharmacology analysis identified
these proteins as hub targets within the COVID-19 protein-protein interaction network, highlighting their
roles in apoptosis regulation and cellular signaling.

Results:

The identified inhibitors exhibited strong binding affinities, suggesting potential efficacy in disrupting
viral life cycles and impeding disease progression. Comparative analysis with existing literature affirmed
the relevance of BCL2 and EGFR in COVID-19 therapy and underscored the novelty of integrating network
pharmacology with ML. This multidisciplinary approach establishes a framework for emerging pathogen
treatments and advocates for subsequent in vitro and in vivo validation, emphasizing a multi-targeted drug design
strategy against viral adaptability.

Conclusion:

This study's findings are crucial for the ongoing development of therapeutic agents against
COVID-19, leveraging computational and network-based strategies.

conclusion:

This multidisciplinary approach establishes a framework for emerging pathogen treatments and advocates for subsequent in vitro and in vivo validation. The findings emphasize a multi-targeted drug design strategy against viral adaptability, contributing significantly to the ongoing development of therapeutic agents against COVID-19.
Transcriptome-Based Analysis of the Oxidative Response of Thermotoga maritima to the O2 Stress
Authors: Lakhal Raja , AlMatar Manaf , Alkalaf Tahani , Albarri Osman
Published: January 2025

Background:

Thermotoga maritima is an anaerobic hyperthermophilic eubacterium
isolated from geothermally heated maritime surfaces. It can grow at temperatures up to 80 degrees
Celsius.

Methods:

A 2.3-L bioreactor was specifically designed to cultivate hyperthermophilic bacteria
under carefully regulated pH, redox potential, temperature, and dissolved O2.

Results:

Using this bioreactor, which was adjusted at 80°C and pH 7.0, it was found that Thermotoga
maritima demonstrated continued growth even after being exposed to oxygen for an extended
period. Transcription studies revealed that following prolonged oxygen exposure, the
genes encoding ROS-scavenging systems, alkyl hydroperoxide reductase (ahp), thioredoxindependent
thiol peroxidase (bcp 2), and, to a lesser extent, neelaredoxin (nlr), were upregulated/
overexpressed. When oxygen was available, the metabolism of glucose was diverted to make
lactate rather than acetate.

Conclusion:

Based on the O/R ratio of 1.0 in anaerobiosis and 1.67 in the presence of O2, we
may conclude that Thermotoga maritima is capable of semi-oxidative metabolism.
A Roadmap Towards the Identification and Validation of Conserved T Cell Epitope Regions in Viral Pathogen Families with Pandemic Potential
Authors: Grifoni Alba , Sidney John , Weiskopf Daniela , Scheuermann Richard H. , Sette Alessandro
Published: January 2025

The SARS-CoV-2 pandemic has highlighted the need for society, as a whole, to be
prepared against potential pandemics caused by a variety of different viral families of concern.
Here, we describe a roadmap towards the identification and validation of conserved T cell
epitope regions from Viral Families of Pandemic Potential (VFPP). For each viral family, we
select a prototype virus, the sequence of which could be utilized in epitope identification
screens. Examples of viral families considered and their respective prototypes (species/
subspecies) are Coronaviridae (Severe Acute Respiratory Syndrome-related Coronavirus/
SARS-CoV-2), Flaviviridae (Dengue virus/DENV2), Togaviridae (Chikungunya virus/
CHIKV), Paramyixoviridae (Morbillivirus/measles), Arenaviridae (Mammarenavirus/
Lassa), and Picornaviridae (Enterovirus C/poliovirus). The peptide sequences encoded
in each prototype virus are then analyzed to determine their conservation across different viral
taxonomic groups and viral variants derived from each of the VFPP. We outline available
methodologies for epitope discovery based on panels of overlapping peptides and bioinformatics-
based predictions of HLA-peptide binding, along with high-throughput in vitro assays,
with emphasis on addressing coverage of the general worldwide population. Validation can be
achieved by a variety of methodologies, including determining HLA restriction and recognition
in samples from volunteers convalescent from previous infections or immunized with approved
or experimental vaccines, and immunophenotyping of responding T cells. The capacity
of these regions to induce crossreactive T cell responses can be tested experimentally with
homologous peptides derived from the various viral species of interest. Importantly, they
could be considered as a component of pan-viral family vaccines. Conversely, immunogenic
regions that are highly specific to a given virus could be of interest for diagnostic applications.
A Comprehensive Analysis of the Role of PAX9 in Head and Neck Squamous Cell Carcinoma
Authors: Zeng Lang , Yun Wenjing , Luo Wen-long
Published: January 2025

Background:

Paired box 9 (PAX9) has been linked to several human
disorders; however, its relevance in Head And Neck Squamous Cell Carcinoma
(HNSCC) remains unknown.

Methods:

The difference in PAX9 mRNA expression in pan-cancer was analyzed
utilizing The Cancer Genome Atlas (TCGA), and the level of PAX9 protein expression
across various types of cancer was assessed utilizing the Human Protein Atlas (HPA)
and UALCAN databases, as well as the cellular localization of PAX9. UALCAN studied
the methylation levels of PAX9 in pan-cancer. The predictive significance of PAX9 in
pan-cancer was assessed utilizing the Kaplan-Meier Plotter website. Functional
enrichment analysis was carried out with the "cluster Profiler" program. By employing
CCK8 and colony formation methods, the influence of PAX9 on the growth of HNSCC
cells was evaluated. By conducting a transwell experiment, we assessed the influence
of PAX9 on the migration of HNSCC cells. Western blotting was used to determine the
levels of Bax and Bcl-2, two proteins involved in the regulation of apoptosis. A nude
mouse model was established to study the impact of PAX9 overexpression on the
growth of subcutaneous HNSCC tumors.

Results:

In HNSCC, the expression of PAX9 was found to be low, while levels of
promoter methylation rose considerably. Low PAX9 expression has been linked to a
decrease in overall survival (OS) rates among individuals with HNSCC. Furthermore,
overexpressing the PAX9 gene decreased HNSCC cell proliferation, migration, and
invasion while boosting apoptosis rates.

Conclusion:

The abnormal expression of PAX9 is linked to various cancers. In
HNSCC, PAX9 is a potential tumor suppressor, inhibiting tumor invasion and
migration. The results reveal a potentially significant new therapeutic target for
HNSCC.
MicroRNA-130b Is a Unique Autophagy-Related Epigenetic Predictor of FLOT-Chemotherapy in Gastric Cancers
Authors: Spirina Liudmila V. , Zinnurova Alina B. , Bakina Olga V. , Avgustinovich Alexandra V. , Afanas'ev Sergey G. , Volkov Maxim Yu. , Klyushina Tatyana S. , Volkov Alexandr M. , Tarasenko Natalia V. , Masunova Nadezhda V.
Published: January 2025

Introduction:

Liquid biopsies have great potential for precision medicine as
they provide information about primary and metastatic tumors using minimally invasive
techniques. MicroRNAs (miRNAs) are promising biomarkers for detecting gastric
cancer (GC). The aim of the study was to identify miR molecules associated with
autophagy in gastric cancer (GC) cells, determine their expression levels in GC and
FLOT-treated patients, and assess the efficacy of FLOT therapy in GC patients.

Methods:

Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology
(GO) pathways were used to analyze cellular pathways. MicroRNAs were isolated
from the tissues.

Results:

The study found a connection between the expression of the let-7a-5p gene
and the size of primary tumors. Bioinformatics analysis identified multiple targets and
signaling pathways associated with this phenomenon. We observed an increase in the
levels of miR-21-3p and hsa-miR-130b-3p with lymph node involvement. miR-21-3p is
associated with the activation of molecular pathways induced by H. pylori in cases of
coinfection. Patients with complete regression had higher levels of expression of hsamir-
130b-3p.

Conclusion:

The bioinformatics analysis allowed us to identify the most significant
targets among microRNAs. Based on the presented data, it becomes clear that GC is
heterogeneous and that the process of autophagy is complex. The association
between hsa-miR-130b-3p and tumor response to therapy is particularly interesting.
The Effect of Risk Factors and Clinical Complications of Chronic Kidney Disease (CKD) on Renal Arterial Resistive Index (RRI)
Authors: souri Zobin , Ramezanzadeh Alireza , Ramezanzadeh Elham , Leyli Ehsan Kazemnezhad , Jalali-Zefrei Fatemeh
Published: January 2025

Background:

Chronic Kidney Disease (CKD) is a known risk factor for End-Stage Renal
Disease (ESRD) and Cardiovascular Diseases (CVD). Renal Doppler Ultrasound (RDU) can
detect early renal involvement in CKD using the Renal Resistive Index (RRI).

Aims:

This study aimed to investigate the effects of risk factors and clinical complications associated
with CKD on RRI among patients with different stages of CKD.

Methods:

In this analytical cross-sectional study, 186 patients referred to Poursina Hospital for
RDU were categorized into six groups (normal and five stages of CKD). We analyzed the impact
of demographic factors and clinical complications on RRI across all groups.

Results:

Our findings indicated that CKD prevalence was particularly high among older patients
and those with CVD, type 2 diabetes mellitus (DM), and hypertension (HTN). Elevated RRI in
CKD patients was significantly associated with age, CKD stage, CVD, and HTN (p < 0.05). Furthermore,
RRI was higher in CKD patients with elevated serum phosphorus (P) levels, higher
low-density lipoproteins (LDL), and lower calcium (Ca) and hemoglobin (Hb) levels. Based on a
multivariate regression model, CVD, lower Ca, high LDL, and proteinuria were identified as independent
predictors of elevated RRI (p < 0.05).

Conclusion:

This study concludes that elevated RRI is associated with the severity of CKD and
its clinical complications, suggesting that RRI can serve as a reliable indicator for assessing CKD
patients, managing treatment, and preventing early death complications.
Establishment and Validation of the Diagnostic Value of Oligodendrocyte-related Genes in Alzheimer's Disease
Authors: Li Chen , Chen Yan , Yao Yinhui , Shang Yazhen
Published: January 2025

Background:

AD is a demyelinating disease. Myelin damage initiates the pathological
process of AD, resulting in abnormal synaptic function and cognitive decline. The myelin sheath
formed by oligodendrocytes (OL) is a crucial component of white matter. Investigating AD from the
perspective of OL may offer novel diagnostic and therapeutic perspectives.

Objectives:

This study aimed to analyze the association between OL-related genes and Alzheimer's
disease (AD) using bioinformatics and verify this association via molecular biology experiments.

Methods:

The AD datasets were acquired from the Gene Expression Omnibus (GEO) database of
NCBI. Consensus clustering was employed to determine the subtypes of AD, followed by evaluating
the clinical characteristics of these subtypes. Subsequently, immune infiltration analysis of relevant
genes and Weighted Gene Co-expression Network Analysis (WGCNA) were conducted to
identify modules and hub genes associated with AD progression. The intersection of genes obtained
was analyzed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG)
enrichment analyses. To narrow down the scope and identify OL-related genes with diagnostic potential,
three machine learning algorithms were utilized. In addition, the eXtreme Sum (XSum) algorithm
was used to screen small molecule drug candidates based on the connectivity map (CMAP)
database. Finally, these identified genes were validated using Real-time fluorescence quantitative
PCR (RT-qPCR).

Results:

Among the three subtypes of AD, Cluster A and Cluster C exhibited increased levels of
Braak and neurofibrillary tangles compared to Cluster B. The proportion of females was greater than
that of males among the three subclasses of AD. There were no significant differences in age among
the three subclasses, but significant differences in gene expression existed. Through WGCNA analysis,
108 genes were identified. Among these, 16 genes were identified as shared genes by the least
absolute shrinkage and selection operator (LASSO), random forest (RF), and support vector machines
(SVM) algorithms, and logistic regression further determined 11 genes. The establishment of
a nomogram demonstrated the significance of these 11 genes in AD. The "XSum" algorithm revealed
five drugs with therapeutic potential for AD. qPCR analysis revealed the upregulation and
downregulation of the highlighted genes. According to this study, 11 genes related to OL were also
found to be associated with immune cell infiltration in AD patients. These genes demonstrated potential
diagnostic value for AD. Additionally, we screened five small molecular drugs that exhibit
potential therapeutic effects on AD.

Conclusion:

This research provides a new perspective for personalized clinical management and
treatment of AD.
Pengaruh Social Media Marketing Dan Brand Image Terhadap Repurchase Intention
Authors: Reza Alif Aulia
Published: January 2025

This research aims to determine the influence of Social Media Marketing and brand image on Repurchase Intention among customers of UD Mulia Agung in Banyuwangi Regency. This study is an explanatory type of research that explains the causal relationship between research variables through hypothesis testing. The sample was collected using non-probability sampling with a purposive sampling method. Data analysis was performed using Multiple Linear Regression Analysis, and hypothesis testing was conducted using the t-test in SPSS 25 software. Based on the results of testing the three hypotheses, it can be concluded that (1) Social Media Marketing has a positive and significant influence on Repurchase Intention and (2) brand image has a positive and significant influence on Repurchase Intention. The implications of the research include, among others, that UD Mulia Agung can enhance customer interaction through diverse social media strategies, improve the creation of positive product-related information, and consider social media advertisements as an appealing marketing strategy to attract a broader audience of potential customers.
 
Abstrak
Penelitian ini memiliki tujuan untuk mengetahui pengaruh dari Social Media Marketing dan brand image terhadap niat pembelian ulang atau Repurchase Intention pada pelanggan UD Mulia Agung di Kabupaten Banyuwangi. Penelitian ini merupakan jenis penelitian eksplanatori yang menjelaskan hubungan kausal antar variabel penelitian melalui pengujian hipotesis. Teknik pengambilan sampel menggunakan non-probability sampling dengan metode purposive sampling. Analisis data menggunakan Analisis Regresi Linier Berganda dan uji hipotesis menggunakan Uji t yang diolah pada software SPSS 25. Berdasarkan dari hasil pengujian terhadap ketiga hipotesis dapat disimpulkan bahwa, (1) Social Media Marketing memiliki pengaruh yang positif dan signifikan terhadap Repurchase Intention dan (2) brand image memiliki pengaruh yang positif dan signifikan terhadap Repurchase Intention. Implikasi penelitian antara lain UD Mulia Agung dapat melakukan peningkatan interaksi dengan pelanggan melalui media sosial yang bervariasi, penciptaan informasi positif mengenai produk dapat ditingkatkan, dan perusahaan dapat mempertimbangkan social media advertisement sebagai strategi pemasaran yang dianggap menarik oleh calon pelanggan sehingga dapat meraih audiens yang lebih luas.
Pengaruh Motivasi Terhadap Keterlibatan Konsumen Pada Gamifikasi
Authors: Pitaloka Pandora Diah , Hapsari Raditha Dwi Vata
Published: January 2025

The objective of this research is to identify the effects of motivation on the involvement of consumers in Shopee Games’ gamification. This causal research corroborates the consequential relationship between its dependent and dependent variables. The samples of this research are 132 people with the minimum age of seventeen years who have played Shopee Games for three months. The data was harvested via questionnaires distributed online via Facebook, Telegram, and WhatsApp and was analyzed using multiple linear regression, from which hypothesis testing was conducted. All of the statistical processes were performed in SPSS. The results of the hypothesis testing indicate that motivation, which takes form in autonomy, competence, and relatedness, positively and significantly influences the consumer involvement. Based on the findings, the Shopee Games’ developer needs to maintain game components that can shape the player’s autonomy, competence, and relatedness in order to increase the said involvement of the consumers to play the games. To attain this, the developer should create games that gives autonomy to the players, design challenges with relevant levels of difficulty, and support the establishment of communities for the players. 
 
Abstrak
Penelitian ini bertujuan untuk mengetahui pengaruh dari motivasi terhadap keterlibatan konsumen pada gamifikasi Shopee Games. Jenis penelitian ini berupa riset kausal yang menjelaskan hubungan sebab akibat antara variabel independen dengan variabel dependen. Penelitian menggunakan sampel sebanyak 132 responden dengan melakukan penyebaran kuesioner secara daring melalui Facebook, Telegram dan WhatsApp. Sampel terdiri dari responden dengan minimal usia 17 tahun dan telah memainkan Shopee Games selama 3 bulan terakhir. Analisis data menggunakan regresi linier berganda dan uji hipotesis dengan data yang telah diolah melalui software SPSS. Dari hasil pengujian keempat hipotesis yang ada dapat disimpulkan bahwa motivasi dalam bentuk otonomi, kompetensi, dan keterhubungan memiliki pengaruh positif signifikan terhadap keterlibatan konsumen. Implikasi dari penelitian ini ialah Shopee Games perlu mempertahankan unsur-unsur games yang dapat membentuk otonomi, kompetensi, dan keterhubungan pemain demi meningkatkan keterlibatan konsumen untuk memainkan games-nya. Beberapa hal yang dapat dilakukan antara lain membentuk games yang memberikan otonomi bagi pemain, mendesain tantangan dengan tingkat kesulitan yang sepadan, dan mendukung terbentuknya komunitas antar pemain.
Pengaruh Promo Gratis Ongkos Kirim, Iklan, Dan Celebrity Endorsement Terhadap Keputusan Pembelian
Authors: Dia Maulud , Zakariya Novie Andriani
Published: January 2025

This study aims to determine the effect of free shipping promos, advertisements, and celebrity endorsements on purchasing decisions. The influence to be proven is the effect of each independent variable on the dependent variable. This type of research is survey research, namely research that obtains data from a place naturally (not artificially) by distributing questionnaires, interviews, and so on. In this study, a sample of 53 respondents was obtained through an online questionnaire. Sampling uses a non-probability sampling technique which refers to judgment sampling which indicates sampling by selecting the subject in the most preferred place or in the best position to convey the required information. The research technique uses SPSS version 17. The results of this study indicate that free shipping promotions have an effect but not significant, which means they have no effect on purchasing decisions, advertising has no significant effect on purchasing decisions, and celebrity endorsements have no effect. and not significant.
 
Abstrak
Penelitian ini memiliki tujuan untuk mengetahui pengaruh dari promo gratis ongkos kirim, iklan, dan celebrity endorsement terhadap keputusan pembelian. Pengaruh yang ingin dibuktikan ialah pengaruh setiap variabel independenterhadap variabel dependen. Jenis penelitian ini adalah penelitian survei, yaitu penelitian yang mendapatkan data dari suatu tempat secara alamiah (bukan buatan) bisa dengan cara mengedarkan kuesioner, wawancara, dan sebagainya. Pada penelitian ini me mpergunakan sampel sebanyak 53 responden yang didapatkan melalui penyebaran kuesioner secara online. Pengambilan sampel menggunakan teknik non-probability sampling yang mengacu pada judgement sampling yang menandakan pengambilam sampel dengan memilih subjek di tempat yang paling disukai atau di posisi yang paling baik untuk menyampaikan informasi yang diperlukan. Teknik penelitian mengunakan SPSS versi 17. Hasil dari penelitian menunjukkan bahwa promosi gratis ongkos kirim berpengaruh tapi tidak signifikan yang berarti tidak berpengaruh terhadap keputusan pembelian, iklan tidak berpengaruh secara signifikan terhadap keputusan pembelian, dan celebrity emdorsement tidak berpengaruh dan tidak signifikan.
Increasing Participation and Completion Rates in Questionnaire Surveys of Primary Care Patients: Cluster-Randomized Study
Authors: Sebo Paul , Tudrej Benoit , Bernard Augustin , Delaunay Bruno , Dupuy Alexandra , Malavergne Claire , Maisonneuve Hubert
Published: January 2025

Background

Participation and completion rates in questionnaire-based surveys are often low.

Objective

This study aims to assess participation and completion rates for a survey using paper and mixed mode questionnaires with patients recruited by research assistants in primary care waiting rooms.

Methods

This cluster-randomized study, conducted in 2023 in France, involved 974 patients from 39 practices randomized into 4 groups: “paper with incentive” (n=251), “paper without incentive” (n=368), “mixed mode with tablet” (n=187), and “mixed mode with QR code” (n=168). Analyses compared the combined paper group with the 2 mixed mode groups and the “paper with incentive” and “paper without incentive” groups. Logistic regressions were used to analyze participation and completion rates.

Results

Of the 974 patients recruited, 822 (women: 536/821, 65.3%; median age 52, IQR 37-68 years) agreed to participate (participation rate=84.4%), with no significant differences between groups. Overall, 806 patients (98.1%) answered all 48 questions. Completion rates were highest in the combined paper group (99.8%) compared to mixed mode groups (96.8% for paper or tablet, 93.3% for paper or QR code; P<.001). There was no significant difference in completion rates between the “paper with incentive” and “paper without incentive” groups (100% vs 99.7%).

Conclusions

Recruiting patients in waiting rooms with research assistants resulted in high participation and completion rates across all groups. Mixed mode options did not enhance participation or completion rates but may offer logistical advantages. Future research should explore incentives and mixed-mode strategies in diverse settings.
Developing and Assessing a Scalable Digital Health Tool for Pretest Genetic Education in Patients With Early-Onset Colorectal Cancer: Mixed Methods Design (Preprint)
Authors: Rivera Rivera Jessica N , Snir Moran , Simmons Emilie , Schmidlen Tara , Sholeh Misha , Maconi Melinda Leigh , Geiss Carley , Fulton Hayden , Barton Laura , Gonzalez Brian D , Permuth Jennifer , Vadaparampil Susan
Published: January 2025

BACKGROUND

National guidelines recommend germline genetic testing (GT) for all patients with early-onset colorectal cancer. With recent advances in targeted therapies and GT, these guidelines are expected to expand to include broader groups of patients with colorectal cancer. However, there is a shortage of genetic professionals to provide the necessary education and support for informed consent. As such, there is a pressing need to identify alternative approaches to facilitate and expedite access to GT.

OBJECTIVE

This study describes the development of a pretest education intervention, Nest-CRC, to facilitate the uptake of germline GT among patients with early-onset colorectal cancer. Patients with early-onset colorectal cancer and health care providers reviewed Nest-CRC, and their reactions and recommendations were captured using a nested mixed methods approach.

METHODS

Using the learner verification approach, we conducted 2 sequential phases of surveys and interviews with English- and Spanish-speaking patients with early-onset colorectal cancer and health care providers. The surveys assessed participants’ experiences with genetic services and provided immediate feedback on the Nest-CRC genetic education modules. Semistructured interviews evaluated participants’ perceptions of self-efficacy, attraction, comprehension, cultural acceptability, and usability of Nest-CRC. Survey data were analyzed using descriptive statistics (mean, median, and proportions), while interview data were analyzed through line-by-line coding of the transcribed interviews. After each phase, Nest-CRC was refined based on participants’ recommendations.

RESULTS

A total of 52 participants, including 39 patients with early-onset colorectal cancer and 13 providers, participated in the study. Of these, 19 patients and 6 providers participated in phase 1 (N=25), and 20 patients and 7 providers participated in phase 2 (N=27). Most participants (phase 1: 23/25, 92%, to 25/25, 100%; phase 2: 24/27, 89%, to 27/27, 100%) agreed that each of the 5 education modules was easy to understand and helpful; 13 patients reported no history of GT, with 11 (85%) expressing interest in GT and 2 (15%) remaining unsure after completing Nest-CRC. Participants reported that Nest-CRC provided sufficient information to help them decide about GT. The tool was deemed acceptable by individuals from diverse backgrounds, and participants found it visually attractive, easy to comprehend, and user-friendly.

CONCLUSIONS

The findings revealed that Nest-CRC is a promising strategy for facilitating pretest education and promoting GT. Nest-CRC has been refined based on participant recommendations and will be re-evaluated.
Development and Preliminary Testing of a “Papageno”-story Interview Intervention (Preprint)
Authors: Harness Jane , Gardner Kamara , Schleider Jessica , King Cheryl
Published: January 2025

BACKGROUND

Suicide continues to be a leading cause of death for young people, and the 2024 National Strategy for Suicide Prevention has called for innovative approaches to suicide prevention. This strategy acknowledges the potential of the “Papageno” effect or the suicide preventative effect of stories of people who overcome suicide crises and find non-suicide alternatives.

OBJECTIVE

This pilot study’s objectives were to develop filmed interviews of young adults sharing their personal story of pursuing non-suicide alternatives (“Papageno” stories) and to examine their acceptability and appropriateness in a sample of young adults with a past month history of suicidal ideation.

METHODS

Six filmed interviews (5 “Papageno” story interviews and 1 active control interview) were videotaped. Study participants were recruited from Instagram and community organizations. Interviewees and participants were between the ages of 18 and 24. To be eligible for the study, participants responded “yes” to the question, “In the past 1 month, have you wished you were dead or wished you could go to sleep and not wake up?” Participants provided demographic information and responded to a brief mood introspection scale. They were subsequently instructed to watch the video, which was followed by the brief mood introspection scale and questions about the acceptability and helpfulness of the video. They were also asked 5 free-response questions regarding their likes, dislikes, suggestions, and overall reactions to the filmed interviews and whether they would watch it again.

RESULTS

We collected 3-4 participant responses per video for each of 5 different interview videos (total of 16 responses). Participants average mood change pre/post intervention (Papageno interview videos) on a scale ranging from -10 (very unpleasant) to 10 (very pleasant) was slightly positive (+2.3 SD 5.9). The videos were found to be generally acceptable and appropriate, and no participants reported feeling less likely to reach out for help when needed. Qualitative feedback yielded recommendations to shorten the length of the videos as well as to include multiple interviewees in future videos so that the audience has a better chance to identify with the interviewee.

CONCLUSIONS

Filmed “Papageno” interviews show promise as a suicide prevention intervention. Next steps include incorporation of feedback to create a singular finalized video and a randomized controlled trial assessing the effects of the Papageno video.

CLINICALTRIAL

N/A
A Study for Syntactic Linearity Based on the Perspective of Linguistic Typology —Taking the English and German Declarative Sentence as Examples
Authors: Wang Yang , Yu Junjie
Published: January 2025

Based on the perspective of linguistic typology, this paper compares and analyzes the similarities and differences of the word order in English and German declarative sentences in order to seek the theoretical explanations for the feasibility of syntactic linearity. Starting from the analysis of word order of declarative sentences in English and German, “Two-steps Method” is recommended as judging the features of the source language’s word order before adjusting it of the target language so as to ensure the fluency, accuracy and legitimacy of the interpreting process.
Power Alcohol Production from Sawdust
Authors: Sable Sunil
Published: January 2025

This research investigates the production of ethanol from waste sawdust generated during woodworking operations.
Ethanol is a significant biofuel due to its use as an additive to gasoline and its applications as a solvent in both laboratory and
industrial settings Ethanol has the potential to replace fossil fuels, reducing greenhouse gas emissions and air pollution.
Additionally, its production can positively impact rural economies. Since ethanol is synthesized from biomass, which can be
sourced from agricultural waste, this process not only supports sustainable energy practices but also creates job opportunities in
rural areas where such waste is abundant. The production process involves several stages: Pretreatment (grinding the sawdust
into a fine powder to enhance hydrolysis efficiency), Hydrolysis (alkaline hydrolysis with 0.1 N NaOH at 100°C and 1.5 atm
pressure), Fermentation (using Saccharomyces cerevisiae), and Distillation. An autoclave is used during hydrolysis to ensure
optimal pressure and temperature conditions. The research demonstrates that a substantial amount of ethanol can be produced
from sawdust, which offers both environmental and economic benefits by recycling waste materials and creating a renewable
energy source. Future research should focus on optimizing the pretreatment process to further enhance efficiency and explore
other potential improvements in the production process.
Review of Obfuscation Techniques in FPGA (Field Programmable Gate Array) Security
Authors: Augoestien Nia Gella , uf Abdul Ro , Prastowo Bambang Nurcahyo , Istiyanto Jazi Eko
Published: January 2025

Abstract: Hardware security is crucial for FPGA-based systems in addition to the functional realization of the system according
to the expected specifications and optimal performance. FPGA has a longer supply-chain model that involves many entities. This
results in greater opportunities for security threats and trust issues. Hardware Obfuscation is one method that can be used as a
mechanism for a security effort from the threats of IP Piracy, Overbuilding, Trojan Hardware, Reverse Engineering, and
Bitstream Modification. Obfuscation technique variations for FPGA-based system security cannot be fully implemented properly
according to the specifications and limitations of the system design. To prevent and anticipate security threat attacks on FPGAbased systems, a performance analysis is needed to implement appropriate and effective techniques in system security. This paper
discusses obfuscation techniques that can be implemented for security on FPGA-based systems according to the design process
flow.
Implementation of Generative AI in Enhancing Cyber Threat Intelligence and Next Generation Firewalls
Authors: Das Sumit Kumar , Panda Payal
Published: January 2025

Abstract: Cybersecurity is a critical concern in the digital age, demanding advanced and innovative approaches to safeguard
sensitive information and systems. This research conducts a strong examination of next-generation firewalls (NGFWs) that can
be integrated with artificial intelligence (AI). As traditional firewalls fall short in addressing modern cyber threats, the
incorporation of AI provides a promising avenue for enhanced threat detection and mitigation. Leveraging machine learning
and deep learning approaches, the study assesses key performance metrics such as detection accuracy, false positive rates, and
computational efficiency. The goal is to provide a clear understanding of the strengths and weaknesses inherent in each
approach, facilitating an informed evaluation. The comparative analysis section which includes graphical representations to
throw light on the findings, offering a visual overview of the performance disparities among selected AI-based firewall methods.
Pros and cons are meticulously examined, providing everyone with valuable insights for decision-making in cybersecurity
strategy. This research aims to contribute to the ongoing discourse on AI-based firewalls, addressing current limitations and
paving the way for advancements that fortify the cybersecurity landscape
EcoDrive-Sustainable Ride Hailing Services
Authors: Harish Kalpana , Pandey Ayush , Chauhan Aniket , Kumar Utkarsh , Raunak
Published: January 2025

bstract: EcoDrive is an innovative mobile application aimed at promoting sustainable urban transportation by reducing carbon
footprints and enhancing passenger safety through carpooling. With the growing concerns over climate change and traffic
congestion, EcoDrive provides a solution by offering a ride- hailing service that prioritizes eco-friendly practices. The app
enables users to carpool with others traveling on similar routes, significantly reducing the carbon emissions associated with
individual vehicle usage.
A key feature of EcoDrive is its carbon footprint calculator, which quantifies the environmental impact of each ride and rewards
users with virtual coins for reducing their carbon footprint. These coins can be redeemed for discounts and other rewards,
motivating users to continue adopting eco-friendly travel behaviors.Additionally, EcoDrive incorporates a gender- based
prioritization algorithm for night-time rides, addressing safety concerns for vulnerable passengers, particularly women. By
ensuring that passengers are matched with others of the same gender during night-time trips, the app provides an added layer of
safety, making it a trusted platform for secure and environmentally conscious travel.The application integrates advanced
algorithms for ride matching, geospatial optimization, and real-time data processing to ensure efficiency and scalability. With its
user-friendly interface, EcoDrive not only offers a sustainable transportation solution but also fosters a community of ecoconscious riders, encouraging a shift towards greener urban mobility. Ultimately, EcoDrive contributes to reducing CO2
emissions, mitigating traffic congestion, and promoting social responsibility in urban transportation systems.
Daya Simpan Daging Ayam Broiler Pada Berbagai Volume Perendaman Ekstrak Daun Jambu Biji Merah (Psidium guajava) Selama Penyimpanan Suhu Dingin
Authors: Sari Salsabila Permata , Damat Damat , Husna Afifa
Published: January 2025

Food preservation, especially meat, is one of the studies in food technology that continues to grow. Meat spoilage is usually caused by Staphylococcus aureus and Escherichia coli bacteria. Red guava leaves are one of the food ingredients that have antimicrobial activity including tannin and flavonoid antibacterial compounds, so they have potential as natural ingredients for food preservation. This study aims to determine the effect of soaking red guava leaf extract (Psidium guajava) on the physicochemical properties of broiler chicken meat in cold storage. The method used was an experimental method with 6 treatments, namely soaking broiler chicken meat in 0 ml extract volume (P0) without soaking, 4 ml volume (P1), 6 ml volume (P2), 8 ml volume (P3), 10 ml volume (P4) and 12 ml volume (P5) for 30 minutes and storage duration of 0 days, 4 days and 8 days which were then stored at cold temperature 0-5 ℃. The analysis parameters included pH, moisture content, weight loss, texture, total bacteria value, and appearance. The results showed that the best soaking of red guava leaves in the P2 treatment was 6 ml extract soaking with a pH value of 5.78%-5.86%, moisture content 73.57%-66.37%, weight loss 0%-32.61%, texture 40.78-55.60, total microbial count 0.8 x104-0.5 x104 and appearance that can maintain quality.
Formulation and In Vitro Evalaution of Curcumin Loaded Solid Lipid Nanoparticles as Transdermal Drug Delivery
Authors: Shinde Naveen Polkal , Yegnoor Anand Kumar
Published: January 2025

The current research was to develop Curcumin loaded solid lipid nanoparticles (CUR-SLNs) by nano-emulsion template method using Span 60, Tween 60, Stearyl alcohol and Brij 35. CUR-SLNs were characterized for encapsulation efficiency, particle size and in vitro drug release. Further optimal formulation was incorporated into Carbopol gel and studied ex vivo permeation and skin irritation tests. The CUR-SLNs shows good encapsulation efficiency and desired particle size with prolonged drug release. The ex vivopermeation studies proved that CUR-SLNs considered to be a successful transdermal drug delivery system and provide a sustained release of encapsulated drug for 24 hr. Further, CUR-SLNs loaded carbopol gel considered to be non-irritant and safe to be applied on the skin for the intended period of time.
A Review on Computer Aided Drug Design – In Silico
Authors: Pranali R. Bhujade  , Khemutai G. Shedame  , Pooja R. Hatwar  , Dr. Ravindra L. Bakal  , Krushnali N. Nehar  , Ankita Y.Gawai
Published: January 2025

The process of drug discovery takes a long time and costs a lot of money. Computer-Aided Drug Design (CADD) has become an important part of modern drug discovery because it speeds up the process and lowers prices. CADD includes many methods, such as Structure-Based Drug Design (SBDD) and Ligand-Based Drug Design (LBDD). These use computer programs to do things like molecular docking, virtual screening, QSAR, pharmacophore modeling, and molecular dynamics. LBDD is used when the shapes of receptors are unknown, while SBDD uses machine learning. This review provides a comprehensive overview of CADD methods, classification, principles, and uses in drug creation. The article discusses about how important it is to find targets, find lead compounds, and make things work better. It also talks about the role of computers in pharmaceutical chemistry and molecular biology. CADD has increased the speed and accuracy of drug finding, making it possible to find new medicines. The review shows how CADD could change the way drugs are made, help people who don't have access to proper medical care, and make patient results better. Researchers can speed up the process of finding new drugs by using CADD strategies. This review is a great resource for researchers, clinicians, and industry workers who want to use CADD in pharmaceutical research. Using CADD has changed the way drugs are found, and its continued growth could lead to better health for everyone.