bluuebunny/crossref_metadata_2025 huggingface dataset:
Differential Transform Method (DTM) and Physics-Informed Neural Networks (PINNs) in Solving Integral–Algebraic Equation Systems
Authors: Brociek Rafał , Pleszczyński Mariusz
Published: December 2024

Integral–algebraic equations and their systems are a common description of many technical and engineering problems. Often, such models also describe certain dependencies occurring in nature (e.g., ecosystem behaviors). The integral equations occurring in this problem may have two types of domains—symmetric or asymmetric. Depending on whether such symmetry exists in the system describing a given problem, we must choose the appropriate method to solve this system. In this task, the absence of symmetry is more advantageous, but the presented examples demonstrate how one can approach cases where symmetry is present. In this paper, we present the application of two methods for solving such tasks: the analytical Differential Transform Method (DTM) and Physics-informed Neural Networks (PINNs). We consider a wide class of these types of equation systems, including Volterra and Fredholm integrals (which are also in a single model). We demonstrate that despite the complex nature of the problem, both methods are capable of handling such tasks, and thus, they can be successfully applied to the issues discussed in this article.
Dynamic-Aware Network for Moving Object Detection
Authors: Zhang Hongrui , Yang Luxia , Du Xiaona
Published: December 2024

Moving object detection (MOD) plays an important role in many applications that aim to identify regions of interest in videos. However, most existing MOD methods ignore the variability brought by time-varying information. Additionally, many network frameworks primarily focus on low-level feature learning, neglecting the higher-level contextual understanding required for accurate detection. To solve the above issues, we propose a symmetric Dynamic-Aware Network (DAN) for MOD. DAN explores the interactions between different types of information via structural design and feature optimization. To locate the object position quickly, we build a Siamese convolutional network to emphasize changes in the scene. Subsequently, a Change-Aware Module (CAM) is designed, which can maximize the perception of object change cues by exploiting complementary depth-varying features and different levels of disparity information, thereby enhancing the feature discrimination capability of the network. Moreover, to reinforce the effective transfer between features, we devise a Motion-Attentive Selection Module (MASM) to construct an autonomous decoder for augmenting detail representation. Experimental results on benchmark datasets indicate the rationality and validity of the proposed approach.
Identification of Biomarkers for Diagnosis and Prognosis of Head and Neck Cancer: Bioinformatics Approach
Authors: Fernandes Alexandra , Vitorino Rui
Published: December 2024

Head and neck cancer (HNC) is the seventh most commonly diagnosed malignancy worldwide, and its incidence is expected to increase in coming years. Current diagnostic methods for HNC are often limited by suboptimal accuracy and speed, which can negatively impact therapeutic decision-making and patient outcomes. To address the shortcomings of conventional diagnostics, biomarker detection has attracted increasing clinical interest as a promising alternative. However, a major challenge is the identification of biomarkers with sufficient accuracy and sensitivity for HNC. The integration of bioinformatics tools with omics data analysis has proven to be a robust approach for biomarker discovery. In this study, we outline a bioinformatics protocol aimed at identifying differentially expressed genes (DEGs) in HNC and evaluating the diagnostic and prognostic relevance of specific genes, including FN1, LGALS3, MMP9, TIMP1, MMP2, and TIMP2, in this pathology. In addition, we performed an enrichment analysis for the genes of interest. The prognostic significance of the selected genes was evaluated in relation to patient survival. This study contributes to the growing body of knowledge by identifying potential biomarkers with diagnostic and prognostic utility in this malignancy.
Behavioral Intention of Residents in Dark Tourism: An Empirical Approach
Authors: Moral-Moral María
Published: December 2024

This research aims to determine the behavioral intention of residents to engage in recreational and leisure activities typical of dark tourism, which will enable tourism stakeholders to establish more effective measures and strategies to promote and develop dark tourism worldwide. First, a literature review of the scientific research on dark tourism follows, based on the papers in the Web of Science and Scopus databases. Second, this empirical study uses structural equation models (SEMs) and, more concretely, partial least square (PLS) to validate the proposed model, which evaluates residents’ perceptions and motivations towards performing leisure activities linked to dark tourism. The results show that attitudes, subjective norms, and perceived behavioral control have a significant relationship with the intention to visit a dark tourism destination, with attitudes explaining 45.66% of residents’ intention towards this type of tourism. In terms of practical implications, the findings of this study highlight that community participation is a critical factor in the relationship between dark tourism and residents. In terms of practical implications, the findings of this study highlight that community participation is a critical factor in the relationship between dark tourism and residents because of its role in shaping the constructs that determine an individual’s behavioral intentions. Finally, it is imperative to involve local communities in tourism planning and the decision-making processes to develop a more sustainable approach to tourism that respects local sentiments and cultural contexts.
Synergistic Effects of Unmodified Tea Leaves and Tea Biochar Application on Remediation of Cr-Contaminated Soil
Authors: Qi Weili , Yang Yun , Xu Yan , Teng Xiaowen , Ma Jiawei , Xu Weijie , Ye Zhengqian , Fang Xianzhi , Liu Dan
Published: December 2024

Hexavalent chromium (Cr(VI)) contamination in soil presents significant risks due to its high toxicity to both the environment and human health. Renewable, low-cost natural materials offer promising solutions for Cr(VI) reduction and soil remediation. However, the effects of unmodified tea leaves and tea-derived biochar on chromium-contaminated soils remain inadequately understood. In this study, tea tree pruning waste was converted into biochar at various temperatures, and the impacts of both unmodified tea leaves and tea biochar on soil Cr(VI) content, chromium fractionation, and soil biochemical properties were assessed using a soil incubation experiment. The results showed that the combined treatment of tea and tea biochar produced at 500 °C reduced Cr(VI) content by up to 49.30% compared to the control. Chromium fractionation analysis revealed a significant increase in the residual chromium fraction, accounting for 32.97% of total chromium, substantially reducing its bioavailability and mobility. Soil properties were markedly improved, with notable increases in pH (14.89%), cation exchange capacity (CEC; up to 100.24%), and organic matter content (up to 167.12%) under the combined treatments. Correlation analysis confirmed that Cr(VI) content reductions were positively correlated with increases in pH, nutrient retention, and enzyme activities, highlighting their role in chromium stabilization. This study underscores the synergistic potential of unmodified tea leaves and tea biochar as an innovative, eco-friendly strategy for Cr(VI) remediation, enhancing both soil quality and heavy metal stabilization.
Biological and Chemical Management of Aspergillus carbonarius and Ochratoxin A in Vineyards
Authors: Iliadi Maria K. , Varveri Maria , Tsitsigiannis Dimitrios I.
Published: December 2024

Ochratoxin A (OTA) is a widely distributed mycotoxin and potent carcinogen produced by several fungal genera, but mainly by Aspergillus carbonarius. Grape contamination occurs in vineyards during the period between veraison and pre-harvest, and it is the main cause of OTA’s presence in wine. The aim of the current study was the evaluation of 6 chemical and 11 biological plant protection products (PPPs) and biocontrol agents in commercial vineyards of the two important Greek white wine varieties cv. Malagousia and cv. Savatiano. The PPPs were applied in a 4-year vineyard study as single treatments or/and in combinations as part of IPM systems. Subsequently, nine strains of Aspergillus carbonarius were investigated for their sensitivity against seven active compounds of synthetic fungicides. During the multi-year field trials, various novel management systems, including consortia of biocontrol agents, were revealed to be effective against Aspergillus sour rot and OTA production. However, expected variability was observed in the experimental results, indicating the dynamic character of biological systems and highlighting the possible inconsistency of PPPs’ efficacy in a changing environment. Furthermore, the IPM systems developed effectuated an optimized control of A. carbonarius, leading to 100% inhibition of OTA contamination, showing the importance of using both chemical and biological PPPs for disease management and prevention of fungal fungicide resistance. Finally, the majority of A. carbonarius tested strains were found to be sensitive against the pure active compounds used (fludioxonil, azoxystrobin, chlorothalonil, tebuconazole, cyprodinil, pyrimethanil and boscalid), with only a few exceptions of developed resistance towards boscalid.
Post-Marketing Surveillance of Adverse Events for the Recombinant Zoster Vaccine Among the Population over 50 Years Old in Hangzhou, China
Authors: Wang Jing , Du Jian , Liu Yan , Xu Yuyang , Han Jiayin , Zhang Xuechao
Published: December 2024

Objectives: This study aimed to evaluate the safety profile of the recombinant zoster vaccine (RZV) after its marketing in China. Methods: We present a descriptive analysis and safety signal assessment of adverse events following immunization (AEFI) associated with RZV between September 2020 and December 2023. The descriptive data collected includes demographic characteristics and the classification of characteristics of AEFI cases, while vaccine safety signal assessment was evaluated using the reporting odds ratio (ROR). Results: In total, we documented 275 AEFI cases following RZV vaccination, with a reporting rate of 76.22/10,000 doses administered. Notably, only one case was classified as serious, and the reporting rates were significantly higher among females, individuals aged 50–59 years, and those residing in rural areas. Furthermore, the reporting rate for the first dose exceeded that for the second dose. Among the reported AEFI cases, 98.91% were attributed to vaccine product-related reactions, and 97.45% were initially reported by either the vaccine recipient or their guardians. The interval between vaccination and symptom onset was predominant within 3 d after vaccination. The disproportionality analysis identified five positive signals—fever (37.5–38.5 °C), injection site reactions greater than 5 cm, pain, Henoch Schönlein purpura (HSP), and swelling—which suggests a stronger association with the RZV than the expected threshold. Conclusion: In summary, RZV demonstrated a favorable safety profile. However, continued monitoring and research on the long-term safety implications of RZV are needed.
Hydrogeochemical Characteristics and Genesis of Hot Springs in Da Qaidam Area, Northern Qaidam Margin of the Qaidam Basin
Authors: Zhao Jiayi , Liu Lingxia , Wang Yaru , Li Bingyan , Lin Wenjing , Yao Haihui
Published: December 2024

Hydrogeochemical research on fluids is an effective method to understand the formation mechanism, occurrence environment, and circulation process of groundwater. The groundwater sampling sites are located in the town of Dachaidan on the northeastern edge of the Tibetan Plateau, which was selected as the study object. Samples were collected from hot and cold springs and surface water in the area. This study is based on the analysis of water chemistry and isotopes, and aims (1) to discuss the chemical characteristics of groundwater in Da Qaidam, (2) to estimate the deep reservoir temperatures, recharge elevation and circulation depth of geothermal waters, and (3) to figure out the heat source beneath the geothermal area and its genetic mechanism. The result showed the following: The hydrochemical type of the hot spring is Cl·SO4-Na and Cl-Na, and the hydrochemical type of cold spring is SO4·HCO3-Na·Ca and Cl·HCO3·SO4-Ca·Na. The main source of groundwater recharge is snow and ice melt water. The recharge elevation ranges from 4666.8 m to 5755.9 m. The geothermal reservoir temperature is about 119.15–126.6 °C. Ice and snow melt water infiltrate into the high mountainous areas on the north side of Da Qaidam and circulate underground through the developed deep and large fractures. Part of the groundwater migrates upwards under the water conduction of the Da Qaidam fault fracture zone to form cold springs, while another part is heated by deep circulation and exposed to the surface in the form of medium to low temperature tectonic hot springs. The research results can provide a scientific basis for geothermal resource exploitation and utilization in Qinghai Province.
Leveraging Loss Aversion and Self-Efficacy: The Role of Water Pricing and Risk in Driving Individual Innovation for Sustainable Water Consumption
Authors: Sohu Jan Muhammad , Tian Hongyun , Kherazi Fatima Zahra , Junejo Ikramuddin , Ejaz Faisal , Ejaz Sarmad , Hossain Md Billal
Published: December 2024

Water scarcity is a growing global challenge, requiring effective management strategies to ensure sustainable water use, particularly in regions like West Dorset, U.K., where rising prices and environmental pressures make sustainable consumption practices essential. This study develops and empirically tests an integrated theoretical framework combining Prospect Theory (PT) and Social Cognitive Theory (SCT) to examine the mechanisms driving household water conservation. Using structural equation modelling on data from 429 residents in West Dorset (response rate 78.3%), we investigated how water pricing (WP) and perceived water risk (PWR) influence sustainable water consumption through individual innovativeness (II) and community engagement (CE), with environmental regulations (ERs) as a moderator. The results revealed significant positive effects of WP and PWR on individual innovativeness, which, in turn, strongly predicted community engagement. The relationship between these factors and sustainable water consumption was significantly moderated by ERs. This study makes three key contributions: Firstly, it empirically validates an integrated PT-SCT framework in water conservation behavior. Secondly, it identifies the crucial mediating role of II in translating price and risk perceptions into community action; and lastly, it demonstrates how regulatory frameworks can enhance or inhibit conservation outcomes. These findings inform policy recommendations for tiered pricing structures, community-based conservation initiatives, and adaptive regulatory frameworks. This study provides a comprehensive model for understanding and promoting sustainable water consumption in water-stressed regions worldwide.
Intelligent Methods for Estimating the Flood Susceptibility in the Danube Delta, Romania
Authors: Costache Romulus , Crăciun Anca , Ciobotaru Nicu , Bărbulescu Alina
Published: December 2024

Floods, along with other natural and anthropogenic disasters, profoundly disrupt both society and the environment. Populations residing in deltaic regions worldwide are particularly vulnerable to these threats. A prime example is the Danube Delta (DD), located in the Romanian sector of the Black Sea. This research paper aims to identify areas within the DD that are highly or very highly susceptible to flooding. To accomplish this, we employed a combination of multicriteria decision-making (AHP) and artificial intelligence (AI) techniques, including deep learning neural networks (DLNNs), support vector machines (SVMs), and multilayer perceptron (MLP). The input data comprised previously flooded regions alongside eight geographical factors. All models identified high or very high flood potential of over 65% of the studied area. The models’ performance was assessed using receiver operating characteristic (ROC) analysis, demonstrating excellent outcomes evaluated by the area under the curve (AUC) exceeding 0.908. This study is significant as it lays the groundwork for implementing measures against flood impacts in the DD.
Operation Optimization of Wastewater Treatment Process Based on Robust Subgroup Information Synergy Strategy
Authors: Cui Tao , Tian Huixin , Xie Jueping , Zhao Chenning , Li Kun , Ji Yue
Published: December 2024

In order to address the issues of system fluctuation and low efficiency brought on by various disturbance factors in wastewater treatment plants (WWTPs), this study builds a robust multi-objective optimization model and determines the ideal parameters for enhancing the robustness and stability of energy consumption (EC) and effluent quality (EQ). Firstly, a novel robust index is proposed, merging the signal-to-noise ratio and standard deviation., comprehensively considering data volatility and anti-interference capability to guide the establishment of a robust optimization model. Secondly, considering the energy consumption errors and water quality data measurement caused by noise factors, which increases the difficulty and time complexity of the solution. Therefore, this paper uses a multi-objective mantis search algorithm (MOMSA) based on a robust subgroup, and an information synergy strategy is used to solve the problem. The strategy first divides the population into strong and weak robust subgroups according to their robustness. Then, the co-evolutionary strategy and the information enhancement strategy will be used to guide the evolutionary direction of the individual from the whole and the local perspectives, thereby comprehensively improving the convergence speed of the algorithm. Based on the test function, this shows that the convergence, diversity, and comprehensive performance of the improved algorithm are better than other algorithms. Experimental results based on the BSM1 platform show that the improved algorithm is effective in finding robust solutions with strong stability despite changes in external factors (e.g., precipitation). According to the experimental results based on real industrial problems, the new robustness metrics can effectively evaluate the robustness of the optimization model, and compared with other algorithms, the algorithm proposed in this paper yields solutions of more reliable quality and faster convergence performance, which can successfully solve the robust optimization problem in wastewater treatment plants.
Experimental Investigation of T-Jump Stabilization Using Water Jets and Sinusoidal Corrugated Beds
Authors: Tahmasbipour Maryam , Azizi Nadian Hossein , Ahadiyan Javad , Oliveto Giuseppe , Sajjadi Seyed Mohsen , Kiyani Amir Mohammad
Published: December 2024

Hydraulic jump is a phenomenon that occurs in open channels with a sudden and rapid transition of the flow regime from supercritical to subcritical. One of the common approaches in controlling the energy dissipation of hydraulic jumps aims to expand the section of the stilling basin with the development of T-jumps. However, T-jumps without additional baffle and terminal elements are unacceptable for thorough energy dissipation. Therefore, this study investigates the main characteristics of T-jumps in an abruptly expanding channel and in the presence of bed water jets and sinusoidal roughness elements. Such complex configurations are hardly found in the literature. Inflow Froude numbers from 6.2 to 10.85, five relative jet flow rates from 0.10 to 0.27, and three rough beds with roughness wave slopes from 0.33 to 0.60 were selected. Experimental results revealed that increasing the bed corrugation would decrease the length of the jump, the length of the roller, and the sequent depth ratio. The same results were found in presence of bed water jets and sinusoidal roughness elements, but the T-jump would appear to be better stabilized. In fact, it was also observed that increasing the relative flow rate of the jet had a significant effect in controlling the T-jump and reducing its relative length. The simultaneous presence of bed water jets and sinusoidal roughness elements decreased the relative length of the T-jump by about 81% and the tailwater depth by about 42% in comparison with the classic hydraulic jumps on smooth beds.
A Preliminary Health Risk Assessment of Heavy Metal Contamination in Chembarambakkam Lake, Tamil Nadu, South India
Authors: Kolandhasamy Prabhu , Elumalai Saranya , Nandagopal Selvam , Senthil Kumaran Subriya , Rajendran Rajaram , Vinayagam Ramachandran , Ramasamy Pasiyappazham
Published: December 2024

Chembarambakkam Lake, an important freshwater reservoir in Chennai that provides drinking water to the city, has noticed a decline in water quality as a result of heavy metal pollution. This study aimed to evaluate the heavy metal contamination in the environment of Chembarambakkam Lake with a health risk assessment. This study involved a comprehensive analysis of toxic heavy metal levels in five waters, sediments, and commercially available freshwater fish samples, considering their bioaccumulation and potential risks to human health. We observed lead (Pb), cadmium (Cd), zinc (Zn), and copper (Cu) concentrations in water, sediments, and various fish species, including tilapia (Mozambique Tilapia), wild carp (Hemiculter leucisulus), pearl-spot (Etroplus maculatus), spotted barb (Barbodes binotatus), and snakehead murrel (Channa Striate). The results indicated that, in order of prominence, the metals in the water were Cu > Zn > Pb > Cd, whereas those found in sediments were Zn > Cu > Pb > Cd. The metal concentration in the sediments varied between Cd (0.52–0.82 µg/g), Cu (13.75–38.07 µg/g), Pb (1.30–3.74 µg/g), and Zn (12.60–61.12 µg/g). Similarly, the metal concentrations in the water varied between Cd (0.63–0.72 µg/L), Cu (5.35–55.17 µg/L), Pb (BDL–12.39 µg/L), and Zn (0.62–1.49 µg/L). The order of metals in the fish was Zn > Cd > Cu > Pb. The Cd concentration ranged from 0.3 to 0.60 µg/g, Cu was from BDL to 0.72 µg/g, Pb was from BDL–0.68 µg/g, and Zn was from 13.32–48.48 µg/g. The Cd and Zn concentrations were consistently the highest across the fish, sediment, and water samples. These findings shed light on the health risks associated with heavy metal pollution in Chembarambakkam Lake and suggest the need for potential bioremediation approaches.
Travel Time Estimation for Optimal Planning in Internal Transportation
Authors: Das Pragna , Ribas-Xirgo Lluís
Published: December 2024

Optimal planning depends on precise and exact estimation of the operation costs of mobile robots. Unfortunately, determining the current and future state of a vehicle implies identifying all the parameters in its model. Rather than broadening the number of factors, in this work we adopt the approach of using a higher-level abstraction model to identify only a few cost parameters. Based on the observation that arc travel times accurately reflect the effect of physical states, this work proposes using them as the key parameters to compute accurate path traversal costs in the context of indoor transportation. This approach eliminates the need to model all factors in order to derive the cost for every robot. The resulting model organizes those parameters in a bilinear state-space form and includes the evolution of actual travel times with changing states. We show that the proposed model accurately estimates arc travel times with respect to actual observations gathered from real robots traversing a few arcs of a traffic network until battery exhaustion. We experimentally obtained minimum-cost paths from random origin and destination nodes when using heuristics and the “closer-to-reality” (bilinear-state version of our model) path costs, finding that it can save an average of 15% in transportation time compared to conventional methods.
Young Adults’ Perceptions of the Role of Self-Reliance and Trust on Help Seeking for Mental Health Problems
Authors: Meadley Abigail , Rickwood Debra , Ishikawa Amelia
Published: December 2024

Many young people are reluctant to seek support for mental health concerns, and a preference for self-reliance has been identified as a key barrier. Yet, the conceptualisation of self-reliance and its role in help seeking is not well understood. This study examines the meaning of self-reliance for young people and how they perceive it affects help seeking, with a focus on the role of trust (both in oneself and in others). Thirty Australian young people aged 18–25 years were interviewed. A reflexive approach, incorporating both inductive and deductive coding techniques, was used to construct themes about self-reliance, trust, and help seeking for young people. Participants identified that both self-reliance and help seeking exist on a continuum from insufficient self-reliance to extreme self-reliance and excessive help seeking to unwillingness to seek help. Trust was a key component of self-reliance, and a balance between trust in oneself and trust in others was deemed necessary for self-reliance to be adaptive and for appropriate help seeking to occur. To maintain this balance, young people felt that a level of self-awareness was necessary. A high level of trust in oneself was considered to increase self-reliance, whereas a high level of trust in others increases help-seeking behaviours. Understanding the role of trust in self-reliance informs developmentally appropriate ways to address self-reliance as a barrier to mental health help seeking for young people.
Influence of complex additives on growth, development and reproduction ability of replacement heifers
Authors:   Federal State Budgetary Educational Institution of Higher Education «Chuvash State Agrarian University», Russia, Chuvash Republic, Cheboksary, Upinin M. S. , Lavrentiev A. Yu. ,   Federal State Budgetary Educational Institution of Higher Education «Chuvash State Agrarian University», Russia, Chuvash Republic, Cheboksary, Kostomakhin N. M. ,   Federal State Budgetary Educational Institution of Higher Education “Russian State Agrarian University – Moscow Timiryazev Agricultural Academy”, Russia, Moscow,   Federal State Budgetary Educational Institution of Higher Education “Russian State Agrarian University – Moscow Timiryazev Agricultural Academy”, Russia, Moscow
Published: December 2024

Recently, the use of various biologically active substances, feed products and feed additives
including functional additives, in rearing replacement heifers has been carried out on many dairy cattle
breeding complexes and dairy farms. The purpose of the work was to study the eff ect of using complex
functional additives Rumenfi t 50 and Rumenfi t 100 in starter compound feeds, used in feeding rations for
replacement heifers aged 2 to 6 months, on the growth, development, conformation parameters during
the rearing period and reproductive ability of animals. The work was carried out on the basis at the dairy
complex Ilkhan LLC in the Cheremshansky district of the Republic of Tatarstan on replacement heifers of
Holstein breed. The studies have shown that when rearing replacement heifers up to 6 months of age, the
use of complex functional additives Rumenfit 100 and Rumenfit 50 in starter compound feed recipes had
positive influence on their growth rate and blood biochemical parameters during the rearing period, and
increased the reproductive abilities of replacement heifers. A higher level of profitability when rearing
heifers up to 6 months of age (21.4 %) was obtained in the group of heifers receiving the complex additive
Rumenfi t 100, which exceeded the profi tability level in the control group by 8.0 abs.% and in the group
receiving Rumenfi t 50 by 0.9 abs.%. The highest additional revenue from the “conditional” sale of milk
was received from fi rst-calf heifers receiving the complex additive Rumenfi t 100, which was higher by
10,391.04 rubles than the indicator of herdmates which received the Rumenfit 50 additive. When included
in the composition of compound feed for replacement heifers during the rearing period, preference
should be given to the Rumenfit 100 additive, the use of which has shown higher results.
ANALISIS PROFIL SENYAWA KIMIA MINYAK ALPUKAT DARI DUA VARIETAS BUAH ALPUKAT (Persea americana) DAN POTENSINYA UNTUK KESEHATAN
Authors: Winarni Sri , Mustafa Annasari , Kurniawati Atik
Published: December 2024

Avocado (Persea americana) is a popular tropical fruit due to its health benefits and its diverse applications in culinary and cosmetic industries. The avocado fruit is not only consumed for its flesh, but its utilization has now expanded with the production of avocado oil. As interest in avocado oil increases, different extraction methods have been developed to obtain oil of the highest quality. This study aimed to analyze the chemical profile of avocado oil from two varieties, as well as evaluate its health potential. The research method used is descriptive, focusing on the composition of fatty acids analyzed using Gas Chromatography-Mass Spectrometry (GC-MS). The results of the study showed that the butter variety avocado oil contains fatty acids such as tetracosanoic acid, octadecenoic acid, undecylenic acid, palmitic acid, nonanoic acid, and heptacosanoic acid. Meanwhile, the alligator variety avocado oil contains fatty acids such as oleic acid and linoleic acid. The study concluded that variations in avocado fruit influence the fatty acid composition of avocado oil extracted by the autoclave method, where alligator variety avocado oil provides health benefits as a source of vegetable oil rich in oleic and linoleic acids, while the butter variety avocado oil offers benefits for nerve health. Recommendations for further research include clinical studies evaluating the health benefits of avocado oil, with a focus on the effects of fatty acids such as tetracosanoic acid, oleic acid, and linoleic acid, to provide stronger scientific evidence regarding their effects on nerve, heart, and skin health.
Aplicação de ferramentas da qualidade na gestão de resíduos sólidos: redução, reutilização e reciclagem
Authors: Silva Jhonatas Novais , Neto José Ferreira de Carvalho , Bastos Isadora Tairinne de Sena , Jesus Edilma Nunes de , Rêgo Jean Cleverson Simões Mutti Afonso , Mancu Raymundo Jorge de Souza , Faro Fabricio Santos de , Menezes Jeane Denise de Souza
Published: December 2024

Este artigo tem como objetivo identificar as principais soluções aplicáveis para a mitigação da geração de resíduos sólidos, provenientes dos processos industriais e como as ferramentas da qualidade podem auxiliar na gestão destes resíduos na organização. A metodologia utilizada consistiu em uma revisão bibliográfica de estudos secundários, analisando os resultados de cinco estudos de caso realizados em indústrias/organizações, com o objetivo de compreender o estado atual do conhecimento sobre a gestão de resíduos sólidos e ferramentas da qualidade. Foram selecionados doze artigos de estudos de caso, dos quais cinco foram escolhidos para posterior análise da aplicabilidade, abrangendo diversas áreas e setores, além dos métodos utilizados e a análise dos resultados, incluindo agrupamentos de ideias. Os resultados indicam que, ao explorar as várias aplicações das ferramentas da qualidade na gestão de resíduos sólidos, compreende-se a eficácia dessas ferramentas como auxiliares na mitigação da geração de resíduos sólidos, percebendo seu papel crucial na gestão desses resíduos e sua importância diante dos impactos ambientais. Conclui-se, portanto, que é de grande importância buscar soluções para minimizar tais impactos e riscos ao meio ambiente através da introdução das ferramentas da qualidade no gerenciamento de resíduos sólidos industriais mitigando ou reduzindo os resíduos gerados.
خوارزمية مقترحة لتعجيل زمن إنهاء المشروع باستخدم المرونة (الفائض) في زمن النشاط في ظل أسلوب PERT/ COST
Authors: المنصور كاسر نصر
Published: December 2024

تهدف هذه الدراسة إلى تقديم نموذج كمي (خوارزمية)، لحل مشكلات التعجيل التي تتزايد كلما كبر حجم المشروع، ونظراً لانخفاض كفاءة الطرائق التقليدية المعروفة، وعدم وجود طريقة عامة نموذجية يمكن بها حل مسائل التعجيل في كل المشروعات وكل الحالات. تقدم هذه الدراسة نموذجاً بسيطاً عامًّا يطبق بسهولة ويسر في كل حالات التعجيل، وينظم خطوات (دون تكرار فيها) وينجز يدويًّا وحاسوبيًّا. ولقد قام هذا النموذج على: (1) بعض افتراضات النماذج السابقة المعروفة. (2) المرونة (الفائض) في زمن النشاط مقارنة بزمن تعجيل النشاط أيهما أقل. (3) ميل التكلفة الأكبر. (4) تخفيض الضغط على الأنشطة في الشبكة المعجلة، حتى تصبح جميع المسارات في الشبكة المعجلة حرجة، وبدون زيادة في التكاليف إن أمكن ذلك فنيًّا.
Advancing Visual Literacy: Innovative Use of Artificial Intelligence Generated Meme Images as an Effective Tool in the Context of Media Communication
Authors: Grupač Marián , Filip Vladimír , Somr Matej , Maček Dominik
Published: December 2024

This article explores research into the use of meme images generated by artificial intelligence as a means of media communication in the context of students oriented to work in the cultural and creative industries sector. The aim of the primary descriptive research is to analyse the ability of future cultural and creative professionals in the context of visual literacy to distinguish the source of content, i. e. to identify whether a given image comes from an artificially intelligent system or from a human user. The paper registers the impact of these technological tools on students’ communication skills and creative potential and evaluates the possibilities of their integration into the educational process. Furthermore, this research provides insight into how emerging technologies, like AI, could be integrated into educational processes to support innovative teaching methods. By assessing the benefits and challenges of incorporating AI-generated content in academic environments, the study highlights the importance of preparing students for a future where AI is a key element of media communication. This perspective underscores the role of educational institutions in equipping students with the skills to critically engage with and leverage AI tools, thus fostering a media-savvy and adaptable workforce ready for the demands of the cultural and creative industries. The findings of this research will contribute to understanding the impact of AI on student competencies in media communication, offering a valuable resource for academics and educators seeking to integrate new technologies into their teaching practices.
Analisis Hubungan Citra Merk dan Kualitas Produk Terhadap Kepuasan Konsumen Pengguna Kendaraan Listrik di Indonesia
Authors: Wafi Raihan Fadhlil , Maulana Noveri
Published: December 2024

This study aims to analyze the influence of brand image and product quality on customer satisfaction in the electric vehicle industry in Indonesia. A strong brand image and high-quality products are critical factors for electric vehicle manufacturers to build consumer trust and increase sales. In the context of the growth of electric vehicles as an environmentally friendly alternative, this research is grounded in the concepts of customer satisfaction, brand image, and product quality. The study employs a quantitative approach, utilizing a survey involving 154 respondents who are users of two- and four-wheeled electric vehicles. The collected data were analyzed using multiple linear regression to examine the partial and simultaneous effects of the two independent variables on the dependent variable. The results show that brand image and product quality have a significant positive influence, both partially and simultaneously, on customer satisfaction. These findings contribute theoretically to the marketing literature by reinforcing the role of brand image and product quality in enhancing customer satisfaction. Furthermore, the results can be useful for the electric vehicle industry in Indonesia in efforts to improve customer satisfaction through the optimization of brand image and the quality of products offered.
Takva Kavramının Psiko-Sosyal Boyutları: Dinî Antropolojinin Benlik ve Sosyalleşme Dinamikleri Üzerine Bir Değerlendirme
Authors: Arvas Hamdullah
Published: December 2024

Bu çalışmada insanın benlik, kimlik ve kendilik tasavvurunun kurucu bir ilkesi olarak takva kavramı incelenmiştir. Takva, Müslüman düşüncesinin önemli dini-akidevî kavramlarından biri olduğu için muhtelif dinî meseleler bağlamında çokça işlenmiş, hakkında önemli bir literatür oluşmuştur. Çalışmamızda mevcut literatüre ek olarak takva mefhumunun psiko-sosyal hikmetlerinin açığa çıkarılması temel amaç olarak benimsenmiştir. Literatür taraması yöntemi ile gerçekleştirilen araştırmada sonuç olarak takvanın bireysel açıdan, insanın teolojik dil ve birikim vasıtası ile kendi benliğini inşa etmesine dayanak oluşturduğu tespit edilmiştir. Bu bağlamda dingin bir benliğin mihveri olan takva erdeminin toplumsal açıdan da insanın, diğer insanlarla ilişkilerini medeni ta’arrufa göre sevk ve idare etmesini, türsel eşitlik düşüncesi ile farklı dil ve renklere sahip insanlara karşı hoşgörülü olmasını, hamiyyetini takva ile taçlandırmasını, inanç meselelerinde başka insanların hür kanaatlerine yönelik hükümleri ahirete bırakmasını; kimsenin dinine, inancına, rengine veya milliyetine hakaret etmemesini gerektirdiği sonucuna varılmıştır.
«Пятый элемент» геополитики. Часть I. История противостояния Запада и Востока
Authors: Б.А. Исаев
Published: December 2024

В статье анализируются основные направления развития геополитической мысли, которые, по мнению автора, составляют четыре пары противопоставлений, четыре антитезы геополитики, а именно: «теллурократия vs таласcократия», «мондиализм vs национализм», «традиционная геополитика vs критическая геополитика», «классическая геополитика vs современная геополитика». Целью статьи является доказательство утверждения о формировании пятой антитезы геополитики – пятого, ведущего элемента, определяющего противостояние современных геополитических идеологий и стратегий государств Запада и Востока. Под антитезой в геополитике, как и в науке вообще, понимают противопоставление контрастных понятий, научных позиций, направлений развития геополитики, геополитических стратегий. Автор исследования утверждает, что за время существования геополитики, как науки, с конца XIX века и до наших дней, сложились четыре пары ее противостоящих направлений, четыре главные антитезы, определяющие развитие этой научной дисциплины. Сегодня активно формируется новая или восстанавливается старая антитеза: «западная геополитика vs восточная», которая становится ведущим, пятым элементом геополитики. В первой части статьи речь идет об истории противостояния Запада и Востока, о странах, составляющих современный Запад и либерально-демократических основах западной идеологии.
Объективизация психопатологии: необходимость валидных оценок в динамике психотических расстройств. Обзор литературы
Authors: А.О. Гур
Published: December 2024

Процесс принятия клинических решений требует тщательной и систематической оценки типа, частоты и выраженности психопатологических симптомов, а также оценки влияния этих симптомов на повседневное функционирование и качество жизни пациента. Отсутствие биомаркеров в психиатрии создает необходимость в валидной и надежной оценке психопатологии при различных психических расстройствах, которая проста в использовании, объединяет научные исследования и клиническую помощь и учитывает точки зрения как врача, так и пациента. Цель данного обзора заключается в том, чтобы обратить внимание отечественных врачей-психиатров на важность и необходимость более широкого и активного использования психометрических инструментов в своей повседневной практике.

The process of making clinical decisions requires a thorough and systematic assessment of the type, frequency and severity of psychopathological symptoms, as well as evaluation of the impact of these symptoms on the patient’s daily functioning and quality of life. The absence of biomarkers in psychiatry creates a need for a valid and reliable assessment of psychopathology across various mental disorders, which should be easy to use, combines scientific research with clinical care, while taking into account both the doctor’s and the patient’s perspectives. The purpose of this review is to draw the attention of domestic psychiatrists to the importance and necessity of wider and more active use of psychometric tools in their daily clinical practic
Когнитивный диссонанс и его роль в формировании circuli vitiosi в структуре аддиктивного заболевания
Authors: Ф.Б. Плоткин
Published: December 2024

Приводятся устойчивые алгоритмы принятия решений в норме и особенности этого процесса у аддиктивных пациентов, в том числе вызванные кататимными искажениями приема и переработки информации. Указаны некоторые особенности менталитета наших пациентов, предопределяющие выбор ими стратегии принятия решений. Раскрывается сущность концепции когнитивного диссонанса, объясняющего влияние на феномены человеческого поведения когнитивных факторов. Определяется место когнитивного диссонанса в патогенезе аддиктивного заболевания. Обосновывается необходимость детальной проработки с пациентом в процессе психотерапии имеющихся у него противоречивых потребностей и получаемых «дивидендов» от реализации таких же противоречивых решений.

Stable algorithms for decision making in normal conditions and the features of this process in addictive patients, including those caused by catathymic distortions in the reception and processing of information, are presented. Some features of the mentality of our patients are indicated that predetermine their choice of decision-making strategy. The essence of the concept of cognitive dissonance is revealed, which explains the influence of cognitive factors on the phenomena of human behavior. The place of cognitive dissonance in the pathogenesis of addictive disease is determined. The necessity of a detailed study with the patient in the process of psychotherapy of his existing conflicting needs and the dividends received from the implementation of the same contradictory decisions is substantiated.
ГЕНЕТИЧЕСКИЙ АЛГОРИТМ РЕШЕНИЯ ОБРАТНОЙ ЗАДАЧИ ЭЛЕКТРОРАЗВЕДКИ МЕТОДОМ ВЕРТИКАЛЬНОГО ЭЛЕКТРИЧЕСКОГО ЗОНДИРОВАНИЯ
Authors: Р.Н. Петросян , Н.В. Рыжов
Published: December 2024

Представлен алгоритм решения обратной задачи электроразведки методом вертикального электрического зондирования (ВЭЗ) с помощью генетического алгоритма (ГА), являющегося одним из методов поиска решений многокритериальных задач оптимизации, в основе которого лежит перебор лучших решений из множества возможных и их изменение для дальнейшего повышения их качества. Проведено имитационное моделирование для определения оптимальных параметров ГА и критериев их выбора. Алгоритм апробирован на практических материалах ВЭЗ для оценки его возможностей. Геоэлектрические разрезы, построенные с применением генетического алгоритма, сравнивались с исходными модельными разрезами и разрезами, построенными в программе «Зонд-2». Охарактеризованы преимущества и недостатки созданного алгоритма, а также пути его дальнейшего развития.

An algorithm for solving the inverse problem of electrical prospecting using the method of vertical electrical sounding (VES) using a genetic algorithm (GA), which is one of the methods for finding solutions to multi-criteria optimization problems, is presented, which is based on selecting the best solutions from a set of possible ones and changing them to further improve their quality. Simulation modeling was performed to determine the optimal GA parameters and criteria for their selection. The algorithm was tested on practical VES materials to assess its capabilities. Geoelectric sections constructed using the genetic algorithm were compared with the original model sections and sections constructed in the “Zond-2” program. The advantages and disadvantages of the created algorithm, as well as the ways of its further development, are characterized.
СОЗДАНИЕ ГЕОЛОГО-ГЕОФИЗИЧЕСКОЙ МОДЕЛИ БАШКИРСКОЙ ЗАЛЕЖИ ОЗЕРНОГО МЕСТОРОЖДЕНИЯ НЕФТИ
Authors: А.С. Некрасов , А.А. Захарова , Н.А. Садреева
Published: December 2024

Создана геолого-геофизическая модель башкирской залежи Озерного месторождения нефти. Установлено существенное отличие геологического строения от прежних представлений о геологическом строении. Выяснена причина падения добычи нефти, заключающаяся в деформации сжатия трещинной среды вследствие падения пластового давления. Трещинные слои содержат самостоятельные балансовые запасы трещинной нефти (4% от всех запасов в трещинах и матрице) и дренируют порово-кавернозную матрицу. Основные запасы нефти (96%) содержит пористая матрица, а основные фильтрационные свойства (87%) обеспечивает трещинная система.

A geological and geophysical model of the Bashkir deposit of the Lake oil field has been created. A significant difference between the geological structure and previous ideas about the geological structure has been established. The reason for the drop in oil production has been clarified, which consists in the deformation of the compression of the fractured medium due to a drop in reservoir pressure. The fractured layers contain independent balance reserves of fractured oil (4% of all reserves in cracks and matrix) and drain the pore-cavernous matrix. The main oil reserves (96%) are contained in a porous matrix, and the main filtration properties (87%) are provided by a fractured system.
ВЫДЕЛЕНИЕ ЗОН ВТОРИЧНЫХ ИЗМЕНЕНИЙ ПОРОДНОГО МАССИВА ПО РЕЗУЛЬТАТАМ СКВАЖИННОГО СЕЙСМОАКУСТИЧЕСКОГО МОНИТОРИНГА
Authors: А.Б. Трапезникова , А.Д. Тезиков , А.В. Чугаев
Published: December 2024

Представлены результаты обработки и интерпретации данных скважинных сейсмоакустических исследований, проведенных в одной из скважин на Верхнекамском месторождении солей. На основе скважинных исследований в разрезе выделены интервалы глубин, на которых горные породы, предположительно, подверглись процессам вторичных изменений с последующим изменением литологических и физических свойств. Описан характер проявления зон вторичных изменений породного массива в волновых полях, их скоростных и спектральных характеристиках. Дана положительная оценка эффективности использования комплекса методов вертикального сейсмического профилирования (ВСП) и акустического каротажа (АК) с целью локализации зон вторичных изменений.

The article focuses on the results of processing and interpretation of well seismic survey data conducted at Verkhnekamskoye salt deposit. Based on the obtained data, parts of rock mass that have presumably undergone secondary alteration processes leading to changes in their lithological and physical properties are identified. The nature of the manifestation of zones of alteration in the rock mass in wave fields, their velocity, and spectral characteristics are described. The effectiveness of utilizing a complex of vertical seismic profiling and sonic logging techniques aimed on localizing zones of alteration is assessed.