bluuebunny/crossref_metadata_2025 huggingface dataset:
Contrastive Learning-optimized recommendation data to Construct a Language Model Recommendation
Authors: Ka Zuming , Zhao Peng , Zhang Bo
Published: November 2024

Large Language Models (LLMs) have demonstrated remarkable performance across diverse domains, thereby prompting researchers to explore their potential for use in recommendation systems. Initial at-tempts have leveraged the exceptional capabilities of LLMs, such as rich knowledge and strong gener-alization through In-context Learning, which involves phrasing the recommendation task as prompts.Nevertheless, Given the significant disparity between the training tasks of LLMs and recom-mendation tasks, along with the data sparsity issue arising from insufficient recommendation data during pre-training, the performance of LLMs in recommendation tasks remains unsatisfactory. To bridge this gap, we propose fine-tuning LLMs with Contrastive Learning-optimized recommendation data to Construct a Language Model Recommendation. namely CLCLMRec. The CLCLMRec frame-work aims to achieve an effective and efficient integration of Large Language Models with recommen-dation systems in settings with low GPU memory consumption. The framework encompasses two cru-cial tuning phases: firstly, instruction tuning, a universal LLM training process designed to enhance the generalization capabilities of LLMs; and secondly, recommendation tuning, which focuses on fine-tuning the model specifically for recommendation tasks. In Rec-tuning, we employ the self-attention mechanism to process embedded data and emphasize sequential recommendation methods to capture users' dynamic interests. However, addressing the challenge of data sparsity, we innovatively intro-duce contrastive learning, extracting self-supervised signals from user behavior sequences to train large models more effectively and uncover meaningful user patterns. Ultimately, we fuse "recommen-dation instructions" with "recommendation inputs" to construct "instruction inputs" and utilize "rec-ommendation outputs" as "instruction outputs" for training, thereby building a Large Recommendation Language Model (LRLM). Experimental results demonstrate that even with extremely limited data (fewer than 100 samples), the CLCLMRec framework can significantly boost the recommendation ca-pabilities of LLMs in domains such as movies and books.
Cross-modal Attention and Bidirectional LSTM for Audio- Visual Generalized Zero-shot Learning
Authors: Liu Peng , Huang Hua
Published: November 2024

The goal of audio-visual zero-shot learning (ZSL) is to classify videos from unseen categories using only the images and audio of videos from seen categories as training data. However, existing audio-visual zero-shot learning methods have not effectively captured accurate temporal information. To address this, we propose a novel approach that leverages the natural alignment between audio and visual modalities in video data by combining cross-modal attention and bidirectional LSTM (Bi-LSTM) to enhance audio-visual generalized zero-shot learning (GZSL). By integrating Bi-LSTM in parallel with the cross-attention block, we capture the temporal dependencies in both audio and visual streams. Specifically, during cross-modal processing, we add a bidirectional LSTM channel in parallel for data processing and fuse the data obtained from the two channels. This approach helps capture temporal dependencies in audio and video more effectively, enhances model robustness, and reduces information loss. Compared to various state-of-the-art methods, our proposed CAB-LSTM outperforms most existing approaches on three popular audio-visual zero-shot learning datasets.
Gliding between continents: A review of the North American record of the giant flying squirrel Miopetaurista (Rodentia, Sciuridae) with the description of new material from the Gray Fossil Site (Tennessee)
Authors: Grau-Camats Montserrat , Casanovas-Vilar Isaac , Crowe Cheyenne J. , Samuels Joshua X.
Published: November 2024

Flying squirrels (Rodentia, Sciuridae, Sciurinae, Pteromyini) have a long and complex history in North America. First recorded during the Late Eocene, they vanished during the early Late Miocene (at about 9 Ma) only to re-appear in the Pliocene and Pleistocene. The first flying squirrels to be recorded after this Late Miocene gap are surprisingly attributed to the Eurasian genus of giant flying squirrel Miopetaurista. These are just two specimens from Florida that purportedly belong to Miopetaurista webbi, an endemic species. In this work we review these occurrences and further describe a new specimen from the Early Pliocene (latest Hemphillian or early Blancan) Gray Fossil Site in Tennessee, which may represent the oldest record of the genus in North America. We validate their attribution to Miopetaurista webbi and found this species to be probably closely related to Miopetaurista thaleri, the only known Pliocene Eurasian species. The occurrence of Miopetaurista in eastern North America is puzzling, as it is set far away from the known geographical range of the genus and of that of its sister taxon, the extant Petaurista. We hypothesize that Miopetaurista, which was linked to warm forested environments, dispersed into North America via the Bering Land Bridge during the warm phases of the Early Pliocene in the frame of a major faunal dispersal involving many other taxa. Later climatic cooling isolated these squirrels in warmer refuges, such as Florida, until they finally became extinct during the Pleistocene.
WITHDRAWN: A novel silica aerogel-based modified adsorbent for the efficient removal of toluene from aqueous media: characterization, central composite design optimization, isotherms, kinetics studies
Authors: Abedi Vida , Taghavi Lobat , Frahani Hadi , Panahi Homayon Ahmad , Larijani Kambiz
Published: November 2024

This study presents the preparation and evaluation of a novel adsorbent designed for removing organic solvents from wastewater, focusing on toluene, a common toxic solvent. The adsorbent, a unique blend of silica aerogel, recycled polyethylene terephthalate (rPET) short fibers, FeCl3, and chitosan, was rigorously tested and characterized using a range of methods. The adsorption performance of the adsorbent was tested for various organic solvents, with detailed attention to toluene. The adsorption parameters, including adsorbent dosage, initial toluene concentration (100-1000 ppm), contact time (15-40 minutes), pH (2-10), and temperature (18-40 °C), were investigated using response surface methodology (RSM) based on central composite design (CCD). The maximum toluene removal efficiency was 99.52%, achieved under optimal conditions. The adjusted coefficient of the determination of the model was 0.968, which indicates that the model was entirely appropriate and accurate. Kinetic studies suggested that the adsorption followed pseudo-second-order kinetic, while equilibrium data were well-fitted to Langmuir and Freundlich isotherms. The stability of the adsorbent across four regeneration cycles demonstrates its potential for long-term application in sustainable water treatment. These results, along with the potential for long-term application, suggest that the developed adsorbent is a promising solution for effectively remedying toluene and some organic matters like crude oil-contaminated wastewater, contributing to environmental protection and plastic waste management.
Ramification of Relaxed Thermoregulation Under Climate Change
Authors: Lefcort Hugh , Brockman Sean M. , Hopkins Jaxon W. , Salter Sierra M.
Published: November 2024

How animals respond to climate changes may be limited by their niche dimensions. Animals able to select microhabitats will be less affected than those that physically or behaviorally are unable to change their exposure. Hence the outcome of tick responses to climate change - which may affect transmission of diseases to humans - may not be obvious first-order effects. Tick species that actively move throughout their habitat searching for hosts may be able to utilize microhabitats that avoid the full effect of rising temperatures. Other tick species are more static since they wait for hosts to come to them. So even if a tick has a low preferred temperature, the need to be present in questing sites optimal for encountering hosts may force exposure to near lethal elevated temperatures. To further explore the questing behavior of Dermacentor variabilis and D. andersoni, and to test if regional variation is exhibited by adult D. variabilis, we reproduced a study that found that this species is an active hunter that orients and moves towards infrared radiation (IR) by use of Haller’s organs. We also tested if D. andersoni would move towards an exposed human hand, i.e. a host emitting a combination of IR, CO2, and odors. This tested if the tick species exhibits sit-and-wait or active hunting. We found strong sit-and-wait behaviors by D. andersoni and D. variabilis. The ticks did not move toward the stationary exposed hand of an observer, and they were not attracted to infrared radiation. Tick may prioritize optimal locations to encounter potential hosts, over enzymatically optimal temperatures. Rather than evolving to detect hosts at a distance, Haller’s organs may have evolved to differentiate warm attachment sites from cooler fur. Our results suggest that Dermacentor questing behavior (remaining on station irregardless of preferred temperature) may make them particularly vulnerable to future rises in temperature.
Integrated test case generation and prioritization based on multiple coverage criteria
Authors: Guo Zhonghao , Geng Chenge , Xu Xinyue , Chen Xiangxian
Published: November 2024

Purpose: Software testing is crucial for ensuring software quality, but it often consumes significant time and resources. Test case generation tools can generate test cases which cover the elements of tested program. However, some types of test case generation algorithms, such as those based on symbolic execution, can also gather coverage information during the test case generation process, which is undoubtedly valuable for other testing tasks. Test case prioritization (TCP) helps detect software faults earlier, achieving better testing outcomes under limited resources. Our goal is to enhance TCP without increasing costs, making it applicable across all white-box testing while improving its effect.
Methods: We developed MCTCG, a symbolic execution-based test case generation tool that produces test case sets meeting various coverage criteria. During generation, MCTCG analyzes program coverage for elements like statements and branches to guide the next step. We also proposed TCPall−first , a prioritization method that uses the coverage information of MCTCG to prioritize test cases based on the principle of 'maximizing coverage step by step.' It selects test cases that cover the most uncovered elements until full coverage is achieved. Since TCPall−first directly uses the coverage data of MCTCG, there is no need to re-execute the test cases to determine priority, allowing test case generation and prioritization to occur in the same process, saving significant testing resources.
Results and conclusion: We evaluated our approach using multiple open-source programs. The results show that MCTCG successfully generates high-coverage test case sets according to various coverage criterias, with higher bug detection rates. TCPall-first uses the coverage information obtained during the generation process to determine test case prioritization. Compared with the best performing among other TCP methods, TCPall−first improved the APFD value by 4.11% and reduced the first-fail metric by 8.7%. Moreover, TCPall−first required the fewest test cases to detect the same number of bugs compared to all other methods. Therefore, we believe that MCTCG effectively enhances test case set coverage while gathering coverage information, and TCPall−first extends the applicability of TCP and improves coverage-based TCP techniques.
A Reconstructed Priority Assignment Method for Computationally Intensive Task Offloading in Mobile Communication Networks
Authors: Zou Qun , Ambati Loknath Sai , Reddy Thippa
Published: November 2024

Computationally intensive tasks often require substantial energy support, and mobile devices may experience slow task execution, response delays, and device overheating due to insufficient processing capabilities. By offloading computationally intensive tasks, the energy consumption of mobile devices can be reduced, and the resource utilization and network balance of mobile communication networks can be improved. Therefore, this paper designs a refactored priority division method for offloading computationally intensive tasks in mobile communication networks. This method first calculates the execution delay and energy consumption of mobile communication network system devices, mobile edge computing servers, and cloud servers, and uses these as factors for the refactored priority division of computationally intensive tasks. Then, it employs the Analytic Hierarchy Process (AHP) to refactor the priority division of computationally intensive tasks in mobile communication networks. In addition, deep reinforcement learning is used to comprehensively consider multiple factors such as delay and energy consumption to find the optimal offloading decision. Experimental results show that this method can effectively offload computationally intensive tasks from mobile devices and mobile edge computing servers and improve the balance of mobile communication networks.
Electro-osmotically Modulated Viscoelastic SWCNT-Blood flow in Symmetric/Nonsymmetric Stenosed Arteries with heat generation using a Fractional Second Grade Model
Authors: Channakote Mahadev M , Bég O. Anwar , Kuharat S. , Shekar M. , Siddabasappa C.
Published: November 2024

The current study aims to analyse the electro-osmotically driven non-Newtonian blood flow containing single-walled carbon nanotubes (SWCNTs) in symmetric and non-symmetric stenosed arteries. This nanoscale formulation considers the impact of SWCNTs on flow characteristics, with a key focus on the thermal and electrical properties of blood. The fractional viscoelastic second grade Reiner-Rivlin differential model is deployed for rheological effects and employs Caputo's definition. Heat generation and thermal buoyancy (natural convection) are also considered. The Debye-Hückel linearization approximation is used to analyse the electro-osmotic dynamics. The system of partial differential equations relevant to the problem is simplified to an ordinary differential equation system by virtue of suitable scaling transformations. Analytical solutions are derived for the non-dimensional boundary value problem. Axial velocity, temperature, electrical potential, volumetric flow rate, axial pressure gradient, pressure rise, and wall shear stress have been computed and selected characteristics have been visualized with the aid of graphs using Mathematica software. The computations show that there is a depletion in the velocity at the walls whereas there is a strong elevation in the core zone for both symmetric (n=2) and non-symmetric (n=6) shapes of stenosis with increasing positive values of Helmholtz-Smoluchowski velocity (UHS), non-Newtonian fractional viscoelastic parameter (λ), carbon nanotube (CNT) volume fraction (ϕ), electro-osmotic Debye length parameter (m) and stenosis height (ϵ). With increasing heat generation parameter (β>0), axial velocity is enhanced across the arterial section and temperature is enhanced. Temperature and wall shear stress (τ_w ) are both strongly reduced with greater carbon nanotube (CNT) volume fraction (ϕ). An increment in volume flow rate (Q) and stenosis height (ϵ) enhances wall shear stress values. A non-symmetric shape of stenosis (n =6) generally produces higher temperatures than the symmetric shape case (n =2). An assessment of trapping phenomena shows that size and number of trapping boluses are increased with higher volumetric flow rate (Q) for both the non-symmetric and symmetric stenotic cases.
Quantifying Calcium Dynamics in T Cell Populations: An Automated Analysis Framework for Antigen Fluorescence Applying Functional Anova
Authors: Rocha-Clavijo Daniel , Suarez-Gomez Deiver , Miranda Gabriel , Rosas Norma Pérez , Alvear Alibeth E Luna , Braña Santiago Colom , Isaza Clara E. , Cabrera-Rios Mauricio
Published: November 2024

Calcium plays a pivotal role in a wide array of physiological processes, serving as a key indicator of cellular activity. This study underscores the importance of understanding calcium patterns in response to stimuli, highlighting the necessity of automated segmentation in fluorescence movies to analyze large cell populations exposed to diverse stimuli. We present a framework for analyzing videos capturing calcium fluorescence in extensive T cell populations exposed to multiple antigens, including UCHT1, 9V:MHC, OKT3, 4D:MHC, and a negative antigen-free control. We utilized Fiji software for video preprocessing and CaImAn for region of interest segmentation and temporal calcium transient extraction. Subsequently, we conducted statistical analyses using empirical models including linear and polynomial regression, spline regression, and functional additive models. Our findings indicate that the functional ANOVA model was the most appropriate, revealing significant impacts of calcium signaling for the aforementioned antigens and the negative control across distinct time intervals. This study developed an interactive Shiny application called SignalPredict where the functional ANOVA model is available, thus facilitating analysis for scientists without programming expertise. These findings support the concept of unique effects of each antigen on calcium signaling in T cells, enhancing our understanding of cellular activity and its implications in biomedical and immunological research. This methodology provides a valuable tool for further exploration of cellular response in physiological and pathological contexts.
Bridging the Diagnostic Gap in Neuropsychiatry: The Role of Neuro Acoustic Therapies in Accurate Diagnosis
Authors: Aasim Shahzad , Butt Muheet , Rana Sanjeev , Banal Rakesh
Published: November 2024

Neuropsychiatric disorders, including depression, anxiety, schizophrenia, and bipolar disorder, significantly impact global health, posing challenges in diagnosis and treatment. Traditional diagnostic methods often rely on subjective clinical observations, necessitating more precise and objective tools. The research was carried out at the Kashmir Advanced Scientific Research Centre, a DSIR-recognized institute. The treatment methodology comprises seven phases: registration of Patients, Case History Formulation, therapy awareness, Loop Selection in Active Mode, Frequency Modulation Test (FMT/EEG), Comparing Resonance Value, and Checking for Neuro Psychiatric Disorders and treatment Provisions. Each phase is designed to ensure comprehensive data collection, patient engagement, and accurate diagnosis using sound frequencies. Initial results from a sample of 50 patients previously diagnosed with psychiatric disorders indicate significant diagnostic discrepancies when reassessed with Neuro acoustic loop therapy. Comparative analysis using a confusion matrix revealed that approximately 50% of already diagnosed neuropsychiatric disorders differed from those diagnosed at KASRC. This research proposes a novel, standardised approach for diagnosing neuropsychiatric disorders, integrating Neuro acoustic therapies with conventional methods. The findings suggest that Neuro acoustic stimulation can provide an objective and scalable diagnostic tool, enhancing the accuracy of neuropsychiatric diagnoses and contributing to better patient outcomes. The study aims to establish a robust framework for the effective treatment of neuro psychiatric disorders, advancing mental health care through innovative Neuro acoustic methodologies.
Prevalence of borderline personality disorder among Syrian private university students, a cross-sectional study.
Authors: Kharfan Bilal , Yousef Haidar , Mhanna Fares Asaad , Lattifeh Youssef
Published: November 2024

Background Borderline personality disorder (BPD) is characterized by changes in selfimage and interpersonal relationships that are characterized by sudden shifts between idealization (overly positive views of self and others) and devaluation (overly negative views of self and others). People with borderline personality disorder typically suffers from anxiety, irritability, and affective disorder as well as impulsive behaviors related to spending (Profusion), sexual activity, drugs abuse, or polyphagia. Borderline personality disorder affects approximately 0.7–2.7% of adults.
Purpose The aim of this study is to assess the prevalence of borderline personality disorder (BPD) among undergraduate students at the Syrian Private University (SPU), Damascus, Syria, where we seek to diagnose the presence of the disorder in addition to studying the impact of many factors whether those related to childhood or adulthood, from environmental, material, emotional, family and even academic conditions, and studying the manifestations that are common in this group of students.
Methods: After obtaining approval from the Deanship of the Faculty of Medicine and the Ethics Committee at the Syrian Private University SPU, We designed an electronic questionnaire and distributed it randomly among students with informed consent from the participating student in a mandatory option to participate in the questionnaire. The questionnaire did not include any personal information referring to the participating student, but rather demographic data and variables related to our study. We designed the questionnaire and distributed it among students in the period between 5/1/2024 - 10/1/2024 and obtained 250 participating students, We excluded 30 students for not completing the questionnaire optimally and selected 220 students.
Results we found a statistically significant association between the incidence of the Borderline Personality Disorder (BPD) and the age, gender, and the emotional and family status on the incidence, but there was no significant effect of financial status, finally there was a relation between the incidence and a history of early separation from the partner.
Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure
Authors: Dovbysh Anatolii , Piatachenko Vladyslav , Myronenko Mykyta , Suprunenko Mykyta , Simonovskiy Julius
Published: November 2024

The article considers the machine learning method for a hand prosthesis control system that recognizes electromyographic signals with a non-invasive recording system. The method was developed within the information-extreme intelligent data analysis technology framework to maximize the system’s information capacity during machine learning. The method is based on adapting the input information description to maximize the probability of correct classification decisions, similar to artificial neural networks. However, unlike neural-like structures, the proposed method was developed within a functional approach to modeling cognitive processes of natural intelligence formation and decision-making. This approach allowed the recognition system to adapt to arbitrary initial conditions of electromyogram formation and flexibility when retraining the system by expanding the alphabet of recognition classes. The decision rules formed by the results of information-extreme machine learning were characterized by high efficiency as an essential indicator of an intelligent prosthesis. The distinctiveness of the developed method from known machine learning methods was in applying a hierarchical data structure as a decursive binary tree, which allowed for transitioning from multi-class machine learning to two-class learning for each stratum of the decursive tree. The modified Kullback–Leibler information measure was the optimization criterion for machine learning parameters. The proposed hierarchical information-extreme machine learning method was implemented using electromyographic biosignals of cognitive commands for six finger and hand movements as an example.
IMPACT OF BLASTOCYST GRADES TO IMPLANTATION AND LIVE-BIRTH RATES IN WOMEN LESS THAN 30 YEARS WITH SINGLE EMBRYO TRANSFERS
Authors:   University College London, United Kingdom., Chokshi Aaryaa , Patel Monica ,   ESIC Hospital, Ahmedabad, India.
Published: November 2024

Background:Morphological evaluation of blastocysts focusing on key factors such as expansion, inner cell mass (ICM) quality, and trophectoderm (TE) quality have been most widely used for embryo selection. The study emphasizes the importance of detailed blastocyst evaluation, highlighting that morphological variations can have substantial implications for ART outcomes. Methods:A total of 115women aged less than 30 years undergoing SET from from January 2023 to June 2023 were included in this study.The patients were divided into three groups based on their morphologic grading before embryo transfer: good-quality (n = 53), average-quality (n = 52) and poor-quality blastocysts (n = 10). The three morphologic groups pregnancy outcomes were examined, and the implantation rate was logistically regressed. Results:Good-quality blastocysts yielded a statistically significantly higher implantation rate (77%) than average / poor-quality blastocysts (44% and 20% respectively). Average-quality blastocysts still yielded in higher implantation rates (44%) compared to poor-quality blastocysts (20%). The baseline characteristics were analysed for significance using the Pearsons Chi-squared test. A P-value < 0.05 was considered statistically significant. All the statistical analyses were performed using the social science statistics website with SPSS software. Conclusions:Higher blastocyst morphologic grading was associated with increased implantation rate for single embryo transfers. These findings suggest that evaluating blastocyst morphology is critical when selecting the best blastocyst.
The Influence of Incentives, Quality, and Product Availability on Attitude toward Purchase Decision of Battery Electric Vehicle at the Greater Jakarta
Authors: Sonhaji Sonhaji , Ong Leonnard
Published: November 2024

Transport and mobility have significant contributions to the emissions in urban cities in Indonesia. The Indonesian government has supported the adoption of electric vehicles (EVs) as part of the commitment to zero emissions by 2060. According to The Association of Indonesia Automotive Industries (GAIKINDO), in 2022 the electric vehicle contributes 1.49% of the total domestic passenger car sales in Indonesia. This EV population was too small compared to what the government targeted for the adoption of EVs. This study aims to analyze the influence of government incentives, product quality, and product availability on consumer’s attitudes toward purchase decisions of battery electric vehicles (BEV). A sample of 149 respondents, who have a driving license, live in the greater area of Jakarta were collected through a questionnaire-based primary data. Through a rigorous procedure of structural equation modeling (Smart-PLS), it is found that variables of government incentives and product quality have no significant effect on consumer purchase decision for BEVs. Product availability and attitude variable has positive and significant effect on consumer purchase decision for BEVs. Moreover, the product availability variable is imperative since it is found to be the most significant variable construct. Thus, as the managerial implication, BEV dealer and manufacturer could consider the availability of various choices of electric cars with the price and driving range capabilities. Future research is recommended to cover all types of EVs, collect wider respondents on different areas and also explore different variables that influence EV customer purchase decision.
Training on MSME’s Development Strategies in Wooden Painting Crafts (study case Bloomy Wooden Art)
Authors: Maryani Maryani , Udiono Tangkas , Fanthi Reno , Sofiana Yunida , Sidharta Christanto
Published: November 2024

The variety of works of painting in each region creates high competition between one painter and another in marketing their products. Considering that in the 2000s, the development of the 'fine arts market' in Indonesia experienced very rapid growth, especially in the achievement of works and products. Bloomy Wooden Art is a company (home industry) which operates in the field of painting crafts using wood media which has been shaped into wall decorations, multi-purpose boxes, tissue boxes, trays, glasses, bowls, decorative tables, etc. The painting arts highlighted here are naturalistic such as flowers, fruit and natural beauty along with elements and animals. The aim of the service is to implement the strategy for developing wood painting craft MSMEs in West Jakarta. The method of implementing service is in 3 (three) stages, namely the preparation stage, implementation stage and evaluation stage. Theory in evaluation uses SWOT analysis to determine weaknesses, strengths, threats and opportunities. Based on the results of initial observations, Bloomy Wooden Art painting MSMEs are generally running well, but there are still shortcomings in terms of marketing aspects of wooden painting products using the social media Instagram which are not optimal, the availability of raw materials and supporting equipment and knowledge in the field of marketing.
VISUAL LANGUAGE DESIGN AS A NEW MEDIA FOR INCLUSIVE EDUCATION FOR STUDENTS WITH AUTISM SPECTRUM DISORDER (ASD)
Authors: Sonia Candy , Hepi Petrus
Published: November 2024

The development of educational institutions in Indonesia and globally is currently facing the challenge of how to answer the needs of students diagnosed with Autism Spectrum Disorder (ASD) in receiving and understanding lecture materials, specifically designed in new media needs to be designed to facilitate and support the learning activities of ASD’s students and the goal of inclusive and sustainable education can be achieved. A visual research method was carried out with 4 stages of analysis, namely the image aspect, technical aspect, maker aspect and viewer aspect, then supported by statements from experts in designing the right visual language to convey the syllabus of the Digital Design Production (DDP) course. The result is that the right visual language will help students with ASD receive the message conveyed during the learning activities.
SWOT ANALYSIS FOR DEVELOPING COMPETITIVE ADVANTAGES FOR ONLINE FOOD BUSINESS VIA DIGITAL MARKETING
Authors: Sari Rini kurnia , Sriwidadi Teguh , Qanita Aisyah
Published: November 2024

Cencan Food, as an online food business that serves chicken dishes, snacks, and modern drinks, faces challenges in maintaining competitiveness in the increasingly competitive online food industry. This study aims to analyze the strengths, weaknesses, opportunities, and threats (SWOT) faced by Cencan Food, as well as formulate the right strategy to build competitive advantage through digital marketing. The SWOT analysis identified several key strengths of Cencan Food, such as the ability to adopt new technologies and the appeal of its products to various customer segments. However, several weaknesses found were inconsistencies in product quality and limitations in marketing resources. Key opportunities that can be utilized include increasing the use of social media and food delivery applications, while threats faced include intense competition and healthier food trends. The proposed strategies include menu diversification and implementation of a quality control system. Cencan Food can contribute to the Sustainable Development Goals (SDGs), especially for responsible consumption and production by prioritizing the use of sustainable raw materials and reducing food waste. Through this approach, Cencan Food is expected to strengthen its position in the market and achieve sustainable business growth. This study provides important insights for online food businesses in facing market challenges and taking advantage of digitalization opportunities.
VAI E VEM DE LOS CHINELOS NO CARNAVAL MEXICANO:
Authors: Otelo Renata Celina de Morais , Amoroso Daniela maria
Published: November 2024

A escrita compõe reflexões concebidas a partir de uma pesquisa de campo na cidade de Tepoztlán, no México, em que as pesquisadoras Daniela Amoroso e Renata Morais vivenciaram a experiência do corpo estrangeiro na troça carnavalesca denominada Los Chinelos. As problematizações foram construídas por presenciarem durante a festividade, circunstâncias de enfrentamento ao determinismo e a padrões paradigmáticos que podem provocar a redução da experiência investigativa. Utilizamos as noções de alteridade, relação pela participação e espetacularide da etnocenologia, a análise de imagens e referências bibliográficas que dialogam com as questões levantadas e ampliam as percepções sobre a pesquisa de campo nas expressões populares. O resultado desse bailado e dos pensares por ele estimulado, aponta para a necessidade de uma visão mais crítica sobre os elementos segregadores que se encontram velados nos fazeres populares seja no Brasil ou fora dele, e na compreensão da importância da pesquisa de campo como forma de letramento em dança.
Casa Cheia:
Authors: Pla gil Marco aurelio
Published: November 2024

Este relato de experiência apresenta como aconteceu a realização dos ensaios abertos do espetáculo “Casa Cheia”, realizado pelo Núcleo de Criação da Teatraria ao Cubo, escola de teatro sediada na cidade de Porto Alegre, capital do estado do Rio Grande do Sul. O processo criativo do espetáculo “Casa Cheia” nasceu da proposta de um "curso-montagem” com duração de um ano. Ancorado no sistema Viewpoints de Anne Bogart e Tina Landau, o processo de composição do espetáculo aconteceu de forma itinerante, realizando ensaios abertos em diferentes espaços comunitários e artísticos da cidade. A comunicação desse processo tem como objetivo destacar a importância da partilha do processo criativo como público como uma forma de convívio através do teatro.
Carta aberta para Vovó
Authors: Vidal Carlos Henrique Vidal Da Silva
Published: November 2024

Mesmo que eu utilizasse de todas as palavras para tentar traduzir o significado do amor que herdei de minha avó, ainda sim, seria falha a tentativa de transcrever o que reside na ancestralidade que me mantém de pé. Este artigo, propõe detalhar o processo criativo de uma performance que foi apresentada em Aracaju-SE, como forma de homenagear minha avó. Apresento cenicamente a grandiosidade das memórias afetivas que foram arriadas pela minha “mais velha” aos Orisás, que por sua vez, possibilitaram a minha condição de existir no mundo. Busco através dessa composição coreográfica, tecer conexões entre ancestralidade e religiosidade através da simbologia corporal (SANTOS, 2002). Nessa descrição, proponho refletir como a força da cachimbada dos pretos velhos, a modelagem do homem pelo barro de Nanã, e minha criação por voinha, puderam possibilitar artisticamente uma dança de transformações, riscada pelo ponto da possibilidade e do inacabado, possibilitando assim, reviver às mandingas recheadas de ensinamentos dos meus antepassados, para produção artística outra do meu amanhã (RUFINO, 2023).
Chemical Synthesis and Enzymatic Modification of Mangostins: A Comprehensive Review on Structural Modifications for Drug Discover
Authors: Lew Jordan Joon-Yip , Choo Yeun-Mun
Published: November 2024

Mangosteens, a prominent component of Garcinia mangostana, have been ex-tensively studied for their biological activities and structural modifications. Chemical methods, including cyclization reactions under acidic conditions, have yielded many de-rivatives, which often exhibit enhanced pharmacological properties compared to itself. Enzymatic biotransformation, such as glycosylation and oxidation mediated by fungal species and enzymes like horseradish peroxidase, have provided regioselective pathways to functionalized mangostin derivatives. These studies highlight the versatility of mangos-tin as a scaffold for designing compounds with tailored biological functions. Overall, mangosteen represents a promising platform for developing compounds with enhanced pharmacological activities, paving the way for innovative approaches in biomedicine and pharmaceutical sciences. This review provides a comprehensive examination of the chem-istry of mangosteens, detailing their total synthesis and the derivatives obtained through both chemical and enzymatic methodologies.
Idebenone Attenuates Diabetic Retinopathy by Modulating Autophagy Via Targeting Akt Signaling
Authors: Yu Zhenqian , Liu Gang
Published: November 2024

Introduction:

Diabetic Retinopathy (DR) is a common microvascular issue
caused by diabetes. Idebenone (IDE) is a coenzyme Q10 analog and antioxidant that has
been utilized in the treatment of neurodegenerative diseases.

Method:

Our goal was to investigate how IDE might treat diabetic retinopathy. An in
vivo DR model was established by injecting a single dose of streptozotocin (STZ). Rats
were treated with IDE, and their vascular function was measured by ultrasound. The retina
structure was checked by haematoxylin and eosin (HE) staining. The expression of
biomarkers of autophagy and apoptosis was measured by western blotting assay. The
retina endothelial cell line RF/6A was stimulated with high glucose (HG) and treated
with IDE. Cell proliferation and apoptosis were assessed using the Edu assay, TUNEL
assay, and flow cytometry, respectively.

Result:

Reduced peak systolic velocity (PSV), mean velocity (MV), end-diastolic velocity
(EDV), and increased pulsatility index (PI) and resistance index (RI) were observed
in diabetic rats; however, these traits were reversed by IDE therapy. IDE alleviated the
STZ-induced disordered retina structure. The IDE administration suppressed DR-induced
apoptosis and autophagy both in vivo and in vitro. IDE suppressed the activation
of Phosphatidylinositol 3 kinase (PI3K) signaling. Activation of PI3K abolished the
IDE-alleviated retina damage and cell death.

Conclusion:

IDE regulated the autophagy of retina cells to alleviate diabetic retinopathy
via regulating the PI3K signaling pathway.
Establishing a Novel Pyroptosis-Related Gene Signature and Predicting Chemical Drugs for Papillary Thyroid Cancer
Authors: Wang Ru , Chen Xin , Yi Dandan , Jiang Chaoyu , Xu Fazhan , Qin Jiabo , Lee YiHsuan , Sang Jianfeng , Shi Xianbiao
Published: November 2024

Background:

The present study aimed to construct a novel pyroptosis-related gene
signature to predict the prognosis of papillary thyroid cancer (PTC).

Methods:

The gene expression level and survival and prognosis information of PTC were obtained
from TCGA. The differentially expressed pyroptosis-related genes (DEPs) between cancer
and control groups were selected, followed by subtype analysis. A prognostic model was built
using LASSO regression analysis. The samples were then divided into high- and low-risk groups,
and the differences in immune cell distribution in different risk groups were compared. The chemical
drugs associated with genes in the prognostic model were extracted from the Comparative
Toxicogenomics Database.

Results:

A total of 31 DEPs were selected, and 3 different subtypes were obtained. A prognostic
model based on 6 pyroptosis-related genes was constructed. The risk grouping was significantly
correlated with the actual prognosis, and the model was found to be an independent prognostic
factor. Six immune cells with significant differences in distribution in different risk groups were
screened. CGP52608 could target four genes in the prognostic model, including GSDMB,
NLRC4, IL1A, and IL6.

Conclusion:

The present study constructed a pyroptosis-related gene signature that could predict
the prognosis of PTC. Additionally, this signature was correlated with tumor immunity.
Biochemical Screening, In-vitro and In-silico Characterization of Citrullus colocynthis Fruit Extracts: A Combined Experimental and Computation
Study
Authors: Shehzadi Syeda Aaliya , Ashraf Muhammad Ayaz , Shafiq Nusrat , Rida Fatima , Javed Aneela , Younas Farhan , Waqar-Un-Nisa  , Younus Waleed
Published: November 2024

Background:

Several medicinal plants are identified as therapeutic agents for the
world’s most deadly disease cancer. A member of the "Cucurbitaceae" family of medicinal
plants, Citrullus colocynthis (C. colocynthis) has various pharmacological actions.

Aims and Objectives:

In the present study we have focused on the phytochemical analysis, antimicrobial,
anticancer and in silico investigation of fruit extracts of C. colocynthis. The chloroform,
pure ethanolic and aq. ethanolic extracts of C. colocynthis whole fruit, peel and pulp separately
have been investigated.

Methods:

The phytochemical analysis revealed the presence of alkaloids, flavonoids, steroids,
phenols, saponins and glycosides in various parts of the fruit. Some compounds have been identified
using GC-MS analysis by comparing with NIST library data. The antimicrobial activity of
all extracts was checked by agar well diffusion method against five different bacterial strains
such as A. baumannii, K. pneumonia, S. aureus, P. aeruginosa and E. coli. The zone of inhibition
(ZOI) ranged between 11 mm to 27 mm against different strains.

Results:

The polar solvent extracts (ethanolic and aq. ethanolic extract) of peel showed good
sensitivity against all bacterial strains as compared to non-polar solvent (chloroform extract),
which showed activity only against Staphylococcus aureus and Pseudomonas aeruginosa. The
cytotoxic activity of C. colocynthis all extracts against human brain cancer cell lines (U-87) was
assessed using MTT assay.

Conclusion:

The % cell viability of ethanolic (ET-PL), and aq. ethanolic extract of whole fruit
and pulp showed promising results. The cancerous cell line U-87 seems to be more sensitive
towards polar solvents (ethanolic and aq. ethanolic) pulp extracts than peel. Further, based on invitro
results, compounds identified in ET-PP were screened for their potential as antibacterial
and anticancer agents through molecular docking and MMGBSA studies. These studies strongly
supported the in-vitro study results and identified new drug candidates.
Enhanced Neuroprotection in Experiment Multiple Sclerosis through Combined Rosiglitazone and Probiotic-Loaded Solid Lipid Nanoparticles:
Modulation of Cellular Signaling Pathways
Authors: Kumar Nitish , Tyagi Nidhi , Mehan Sidharth , Singh Alok Pratap
Published: November 2024

Background:

Multiple sclerosis (MS) is a persistent autoimmune condition characterized
by inflammation and neurodegeneration. The current efficacy of treatments is limited, which has
generated interest in developing neuroprotective strategies. Solid lipid nanoparticles (SLNs) and
probiotics are potential drug delivery vehicles for targeting the CNS (Central nervous system), regulating
immune responses, and supporting neuroprotection in neurological conditions.

Methods:

The study investigates how SLNs containing RSG (rosiglitazone) and probiotics can protect
the nervous system in cases of MS. We administered toxin EtBr (Ethidium bromide) from day 1
to day 7, later followed by the treatment from day 8 to day 35. During this time interval, various
behavioural parameters have been performed. Further, after 35th day, blood plasma of animals was
collected to study complete CBC profiling and animals were sacrificed. Then, biochemical and
molecular studies, gross morphology of brain sectioning, histopathological evaluation and
estimation of fatty acid content in fecal matter were performed.

Results:

RSG shows neuroprotective effects by blocking the STAT-3 and mTOR signaling pathways
and increasing the production of PPAR-gamma. GW9662, a PPAR-gamma antagonist given at
a dose of 2 mg/kg (i.p), was utilized to evaluate the role of PPAR-gamma and to compare the efficacy
of RSG and probiotic-loaded SLNs in potentially providing neuroprotection. The relationship between
RSG and the STAT-3, mTOR, and PPAR-gamma pathways in MS was confirmed and validated
using in-silico analysis. RSG and probiotic-loaded SLNs modulate the complete blood profiling
of rats and improve the symptoms of MS. We assessed the diagnostic capabilities of different
biological samples such as cerebrospinal fluid, blood plasma, and brain homogenates (specifically
from the hippocampus, striatum, cortex, and midbrain) to analyze neurochemical changes linked to
neurobehavioral changes in the progression of MS.

Conclusion:

The study showed that combining RSG and probiotics in an experimental medication
form improved symptoms of MS more effectively than using RSG alone. This improvement is likely
due to changes in STAT-3, mTOR, and PPAR-gamma signaling pathways.

result:

The study showed that combining RSG and probiotics in an experimental medication form improved symptoms of multiple sclerosis more effectively than using RSG alone. This improvement is likely due to changes in STAT-3, mTOR, and PPAR-gamma signaling pathways.
A Carta de Património Arqueológico do PDM do Porto Possibilidades e limites de uma cartografia da memória e mutabilidade da cidade. Parte II – Para além do Centro Histórico
Authors: Gomes Sérgio , Osório Isabel , Sousa Lara , Stockler Carla , Ribeiro Manuela , Almeida António
Published: November 2024

This article’s second part concludes the presentation of the archaeological safeguarding areas included on the Municipal Master Plan of Porto. Aside from the multiple and dense vestiges known at the Historic Centre, the municipal territory holds a variety of remains referring to different inhabiting strategies over time. Recognizing the cultural signifi cance of this diversity can help revitalize the memory of the city, understand its transformations, and explore its temporal depth as a resource for urban and social development
Selos alfandegários do Convento de Santana de Lisboa
Authors: Gonçalves Joana , Gomes Rosa Varela , Gomes Mário Varela
Published: November 2024

The archaeological excavation campaigns carried out in the area of the former Santana Convent of Lisbon (2002/2003, 2009/2010), led by two of the authors (RVG and MVG) exhumed, among a few thousand pieces, a small set of lead customs seals of the 16th century. Despite its poor state of conservation, it is possible to recognize different shapes and dimensions, as well as motifs that identifi ed them, namely the armillary sphere. These seals were most commonly used when importing textiles that we know have different origins, from European countries to the East.
Phosphate Mining and Labour in Western Sahara – Dynamics of the Fosbucraa Rent (1969-1975)
Authors: Santos Maciel
Published: November 2024

Phosphate mining is a key issue in the modern history of both Western Sahara and Morocco. Until 1975 it also affected Spain, as Western Sahara’s phosphates were exploited during the colonial period. In the early 1970s, phosphate mining generated super-profits. The Spanish state was the sole owner of the Bucraa deposit and used its ephemeral but significant super profits for two purposes: to subsidize the Spanish fertilizer industry and, for political reasons, to inflate spending in the Saharan budgets. However, Fosbucraa’s profit maximization and the “development” of the Sahara quickly came into contradiction. The company employed relatively few workers and discriminated against them. Meanwhile, the multiplier effects of Fosbucraa’s investment were rapidly changing the Saharawi way of life. A traditional nomadic society was becoming a peripheral society, dependent on jobs, subsidies and scholarships. The result of these two contradictions resulted in a social blockade: a model of accumulation incompatible with the expectations of young workers, technicians and students. The industrial conflict and anti-colonial action are part of this broader context.