bluuebunny/crossref_metadata_2025 huggingface dataset:
Holistik Beslenme Yaklaşımı: Ruhsal, Zihinsel ve Fiziksel Beslenme
Authors: AYDENİZ-GÜNEŞER Buket , KAHRAMAN Azime Miray
Published: November 2023

2500 yıl önce ifade edilen "Besinler ilacınız, ilacınız besininiz olsun (Hipokrat)" ifadesi, beslenme ve sağlık arasındaki ilişkinin vurgulanmasında bir kilometre taşı olarak kabul edilirken, güncel beslenme yaklaşımları için de geçerliliğini sürdürmektedir.

Kişiye özel beslenme alışkanlıkları; demografik değişkenlere bağlı olarak ivmelenebilen, uzman görüşü almaksızın trend önerilere göre revize edilebilen ve yazık ki uzun dönemdeki etkileri göz ardı edilerek mucizevi değişimlerden sorumlu tutulan bir etmendir. Bu nedenle, obezite, yüksek tansiyon, kardiyovasküler rahatsızlıklar, diyabet vb. tanılardaki küresel artışın majör sebeplerinden biri olarak kabul edilmektedir.

Popüler söylemlerden ziyade bilimsel verilerden yola çıkan modern tıbbı disiplinlerde, gerek akut gerekse kronik birçok şikâyetin tedavisinde ve önlenmesinde, beslenmeyle ilişkili olası tüm faktörlerin birlikte değerlendirilmesi gerektiği üzerinde durulmaktadır. Çünkü beslenme sadece fiziksel değil, mental ve ruhsal olarak da iyileştirici etkilere sahiptir. Diğer bir ifadeyle, bir rahatsızlığın tedavisinde hastanın şikâyetine göre direkt tedavi önermek yerine, bu şikâyeti tetikleyebilecek tüm faktörleri ele alarak temelde yatan sorunu çözümleyebilmek önem kazanmaktadır. Bu bağlamda hastalığı tedavi edebilecek veya önleyebilecek beslenme alışkanlıklarının yanı sıra bireyin ruhsal, zihinsel ve bedensel durumu da ele alınmalıdır. Bu derlemenin amacı, sürdürülebilir sağlıklı bir yaşam için ruhsal, zihinsel ve bedensel beslenmede holistik yaklaşımın rolünün irdelenmesidir.
Heterogeneous multi-agent task allocation based on graph neural network ant colony optimization algorithms
Authors: Ma Ziyuan , Gong Huajun
Published: November 2023

Heterogeneous multi-agent task allocation is a key optimization problem widely used in fields such as drone swarms and multi-robot coordination. This paper proposes a new paradigm that innovatively combines graph neural networks and ant colony optimization algorithms to solve the assignment problem of heterogeneous multi-agents. The paper introduces an innovative Graph-based Heterogeneous Neural Network Ant Colony Optimization (GHNN-ACO) algorithm for heterogeneous multi-agent scenarios. The multi-agent system is composed of unmanned aerial vehicles, unmanned ships, and unmanned vehicles that work together to effectively respond to emergencies. This method uses graph neural networks to learn the relationship between tasks and agents, forming a graph representation, which is then integrated into ant colony optimization algorithms to guide the search process of ants. Firstly, the algorithm in this paper constructs heterogeneous graph data containing different types of agents and their relationships and uses the algorithm to classify and predict linkages for agent nodes. Secondly, the GHNN-ACO algorithm performs effectively in heterogeneous multi-agent scenarios, providing an effective solution for node classification and link prediction tasks in intelligent agent systems. Thirdly, the algorithm achieves an accuracy rate of 95.31% in assigning multiple tasks to multiple agents. It holds potential application prospects in emergency response and provides a new idea for multi-agent system cooperation.
Tourist Preferences for Revitalizing Wellness Products and Reversing Depopulation in Rural Destinations
Authors: Ekonomou George , Kallioras Dimitris , Menegaki Angeliki N , Alvarez Sergio
Published: November 2023

Wellness tourism is a growing segment that destinations can rely on to increase tourism flows and revive underdeveloped rural areas. This study elicits tourists' preferences for wellness tourism products and the redevelopment of a wellness destination in a depopulated rural area. The re-search included 595 participants in Central Greece using on-site, face-to-face surveys. The survey data was analyzed using a two-step process. First, conjoint analysis was applied to determine the combination of wellness tourism product attributes that maximize visitors’ utility. In the second step, we elicited visitors' willingness to pay (WTP) for improvements in tourism product attributes using the contingent valuation method. Findings indicate that the combination of attributes that maximizes the preference structure of respondents includes time of visit from September to Oc-tober, duration of visit from 1 to 7 days, wellness tourism as the primary purpose of the visit, and wellness activities that contain both physical activities and training as well as spiritual and emo-tional enhancement. Using binary logistic regression, the analysis indicates that respondents are willing to pay 47.33€ per visit on average further to develop wellness tourism products in the study area. Empirical results confirmed that sustainability issues, quality, and entrepreneurship factors positively impact visitors' WTP for revitalizing wellness products. In contrast, a longer duration of stay in the area and respondents' age negatively impact their WTP. These findings suggest that structuring a customer-driven tourism product will enhance the rural destination's efforts to attract high-yield visitors and advance the rural economy. Furthermore, practical im-plications reveal that Destination Management Organizations will benefit from research results to foster targeted management plans.
The Impact on Greenhouse Gas Emissions of Rice Crop Management Under the System of Rice Intensification: A Review
Authors: Dahlgreen James , Parr Adam
Published: November 2023

Rice provides ~20% of human dietary energy and, for many people, a similar share of their protein. Rice cultivation, however, produces significant greenhouse gas (GHG) emissions, comparable to those from the aviation sector. The main GHG from rice production is methane, mostly a result of conventional rice cultivation (CRC) keeping rice fields continuously flooded during the crop cycle. There is extensive evidence that alternate wetting and drying (AWD) of rice fields substantively reduces methane emissions. AWD is one component of the System of Rice Intensification (SRI), an agroecological approach to the management of plants, water, soil and nutrients practiced by millions of farmers in both lowland irrigated rice and upland rainfed cultivation. Thirteen countries have included SRI in their Nationally Determined Contributions to GHG reduction or climate change mitigation. This article reviews 16 field studies of the net reduction in GHG emissions from the adoption of AWD, nine from the adoption of SRI, and two that compared SRI and AWD. Where available, the review includes data on yield and therefore on carbon dioxide-equivalent GHG emissions per kilogram of rice produced. The evidence indicates that AWD and SRI offer a similar and substantial reduction (~35–41%) in GHG emissions per hectare compared with conventional rice cultivation. However, SRI offers ~66% greater yield than CRC, and therefore greater reduction in emissions per kilogram of rice, ~54% more than AWD. The limited data directly comparing SRI and AWD support this finding. SRI also appears to have greater potential to sequester carbon in the soil. SRI lowers rice farmers’ costs of production, adds to their income and can make climate-friendly methods more attractive. Both AWD and SRI are greatly preferable to current conventional practices, but SRI offers opportunities to contribute to food security while directly addressing the drivers of climate change.
Characterization and Fungicide Sensitivity of Two Fusarium spp. Associated With Stem Rot of Dragon Fruit in Guizhou, China
Authors: Zhao Jin , Huang Miao
Published: November 2023

Dragon fruit (Hylocereus polyrhizus) constitutes an important economic industry in Guizhou Province, China; however, in recent years, stem rot in this region has become increasingly severe. Moreover, the pathogens responsible for stem rot in Guizhou and their sensitivity to fungicides remain elusive. Therefore, in this study, we aimed to determine the causative pathogens of stem rot in this region and analyze their sensitivity to fungicides. Twenty-four isolates were obtained from diseased tissues, from which H-4 and H-5 were selected and confirmed as pathogens. Based on the morphological characteristics of macroconidia, microconidia, and colony morphology, the polygenic phylogenetic tree constructed using internal transcribed spacer, elongation factor 1-alpha, and retinol-binding protein-2 gene fragments, along with carbon source metabolism using FF microplates, the two pathogens were identified as Fusarium oxysporum and F. concentricum respectively. In addition, the in vitro toxicity of eight fungicides against both pathogens were measured based on mycelium growth rate. The results showed that 75% trifloxystrobin·tebuconazole exhibited the strongest inhibitory effect on both isolates, with concentration for 50% of maximum effect values of 0.1262 µg/mL and 0.1385 µg/mL, respectively. This study identified two Fusarium spp. as the causative pathogens of stem rot in dragon fruit, with F. concentricum being reported for the first time, and demonstrated the best fungicide for them. These findings hold significant potential for guiding the effective treatment of stem rot in dragon fruit in Guizhou, China.
Systematic Review of Chemical and Biological Activity Studies of Extracts and Isolated Compounds From Nudibranchs
Authors: Epifanio Neide M. M. , Braga Raquel Rennó , Braga Raul Rennó , Silva Vitoria Oliveira , Pereira Nayana F , Souza Bianca Augusto de , Moreira Davyson de Lima , Chaves Douglas S.A.
Published: November 2023

Nudibranchs are marine gastropod mollusks that have been extensively studied for their poten-tial to yield new bioactive compounds. This review aims to share data about the chemical and biological activity of extracts and isolated compounds from nudibranchs. The systematic review followed the PRISMA (a systematic review protocol) and covers the studies from the literature published from January 1950 to September 2023, and various scientific databases, including Elsevier, web of science, ACS publications, Taylor and Francis, Wiley Online Library, MDPI, Springer and the Marine Pharmacology website. The results presented are based on the complete set of studies that met our inclusion criteria. Among the selected studies, chemical characteriza-tion was the focus in 79.6% of cases, while biological activity assessment accounted for 20.4%. Ten different types of biological activity assays were performed, with the most frequently studied activities being cytotoxicity (43.6%), antimycobacterial (43.6%), and ichthyotoxic (9.8%) effects. Most positive results obtained from these assays were related to antimycobacterial, cytotoxicity, and ichthyotoxic activities. Eight different types of metabolites were identified, with terpenes be-ing the most prevalent (78.5% of articles), followed by alkaloids (8.1%) and aromatic polyketides (4.7%). Gathering the existing evidence can aid in identifying research gaps and planning future investigations. Our findings indicate that certain nudibranch families, such as Cadlinidae, have received limited attention in terms of studies conducted, yet show promising results in terms of biological activities.
A Study of Ramsey Interference and Spectral Line Locking Technique Based on Rubidium-87 Cold Atoms
Authors: Gao Wangyuan , Wang Ji , Xiao Yuhua , Zhang Jiongyang
Published: November 2023

In this paper, a study was conducted on the Ramsey interference and spectral line locking techniques based on rubidium-87 cold atoms. Using sequential control technique, the timing design of a three-dimensional magneto-optical trap (MOT), cold atoms’ free fall, Ramsey microwave interference, and two-level fluorescence detection was realized, achieving the state preparation of cold atoms and clock transitions. By designing an automatic peak-finding algorithm, numerical integration was performed on the time-of-flying (TOF) signal, and narrow linewidth cold atom Ramsey interference fringes were obtained. Based on this, a frequency-hopping method was used to lock the frequency of the 10MHz oven-controlled crystal oscillator (OCXO) in a closed loop, achieving a linewidth of 38Hz. This preliminary result verifies the feasibility of the system design.
Phase Transition and Point Defects in the Ferroelectric Molecular Perovskite (MDABCO)(NH4)I3
Authors: Cordero Francesco , Craciun Floriana , Imperatori Patrizia , Raglione Venanzio , Zanotti Gloria , Moldovan Antoniu , Dinescu Maria
Published: November 2023

We measured the anelastic, dielectric and structural properties of the
metal-free molecular perovskite (ABX$_{3}$) (MDABCO)(NH$_{4}$)I$_{3}$, which
has already been demonstrated to become ferroelectric below $T_{\text{C}}=$
448~K. Both the dielectric permittivity measured in air on discs pressed
from powder and the complex Young's modulus measured on resonating bars in
vacuum show that the material starts deteriorating with loss of mass just
above $T_{\text{C}}$, introducing defects and markedly lowering $T_{\text{C}}$. The elastic modulus softens of 50\% when heating through the initial $T_{\mathrm{C}}$, contrary to usual ferroelectrics, which are stiffer in the
paraelectric phase. This suggests improper ferroelectricity, where the
primary order parameter of the transition is not the electric polarization,
but the orientational order of the MDABCO molecules. The degraded material
presents thermally activated relaxation peaks in the elastic energy loss,
whose intensities increase together with the decrease of ~$T_{\mathrm{C}}$.
The peaks are much broader than pure Debye, due to the general loss of
crystallinity, also apparent from X-ray diffraction, but their relaxation
times have parameters typical of point defects. It is argued that the major
defects should be of the Schottky type, mainly due to the loss of (MDABCO)$^{2+}
$ and I$^{-}$, leaving charge neutrality, and possibly also (NH$_{4}$)$^{+}$
vacancies. The focus is on an anelastic relaxation process peaked around
200~K at $\sim 1$~kHz, whose relaxation time follows the Arrhenius law with $\tau $$_{0}$~$\sim $\ $10^{-13}$\ s and $E\simeq 0.4$~eV. This peak is
attributed to I vacancies (V$_{\text{X}}$) hopping around MDABCO vacancies (V$_{\text{A}}$) and its intensity presents a peculiar dependence on
temperature and content of defects. The phenomenology is thoroughly
discussed in terms of lattice disorder introduced by defects and of
partition of V$_{\text{X}}$ among sites that are far from and close to the
cation vacancies. A method is proposed for calculating the relative
concentrations of V$_{\text{X}}$, that are untrapped, paired with V$_{\text{A}}$ or
forming V$_{\text{X}}$--V$_{\text{A}}$--V$_{\text{X}}$ complexes.
Congenital Zika Virus Syndrome: Microcephaly and Orofacial Anomalies
Authors: Scotto Gaetano , Massa Salvatore , Spirito Francesca , Fazio Vincenzina
Published: November 2023

The progressive reappearance of the Zika virus (ZIKV) infection since October 2013 and its circulation in >70 countries and territories (from French Polynesia to Brazil and other countries in the Americas, with sporadic spread in Europe and the East) has long been reported as a global public health emergency. ZIKV is a virus transmitted by arthropods (arboviruses), mainly by Aedes mosquitoes. ZIKV can also be transmitted to humans through mechanisms other than vector infection such as sexual intercourse, blood transfusions, mother-to-child transmission. The latter mode of transmission can give rise to a severe clinical form called Congenital Zika Syndrome (CZS) which can result in spontaneous abortion or serious pathological alterations in the fetus such as microcephaly, neurological and orofacial anomalies. In this study, beside a succinct overview of the etiological, microbiological, epidemiological aspects and modes of transmission of Zika virus infection, we have focused our attention on the pathogenetic and histopathological aspects in pregnancy and the pathogenetic and molecular mechanisms that can determine microcephaly, and consequently the clinical alterations, typical of the fetus and newborns, in a subject affected by CZS.
Near-Saturating Light Induces a Rapid Increase in cAMP and Activates PKA in Rod Outer Segments of the Frog Retina
Authors: Chernyshkova Olga , Erofeeva Natalia , Meshalkina Darya , Balykina Anna , Gambaryan Stepan , Belyakov Michael , Firsov Michael
Published: November 2023

The phototransduction cascade allows the photoreceptor to avoid saturation and retain the ability to detect light over a very wide range of intensities. The main second messenger of the cascade is cGMP and the main regulatory mechanism is calcium feedback, however some experimental data suggest that cAMP may also be involved in the regulation of the phototransduction cascade. For this to be the case, cAMP would have to change on a time scale of seconds. Currently, there are no data on the dynamics of changes in intracellular cAMP levels on this time scale, largely due to the specificity of the sensory modality of photoreceptors, where it is practically impossible to use conventional experimental approaches based on fluorescence methods. In the present work, we used the method of rapid cryofixation of retinal samples after light stimulation and subsequent isolation of outer segment preparations. Levels of cAMP were measured using highly sensitive metabolomics approaches. PKA activity was also measured in these samples by Western blot. We show that when illuminated with near-saturating but still moderate light, cAMP levels rise transiently within approximately the first second and then return to pre-stimulus levels. The increase in cAMP activates PKA, leading to phosphorylation of PKA-specific substrates in frog retinal outer segments.
Improved Stability and Instability Results for Neutral Integro-Differential Equations including Infinite Delay
Authors: Tunç Cemil , Akyıldız Fahir Talay , AbaOud Mohammed
Published: November 2023

In this study, we deal with a nonlinear system of neutral Volterra integro-differential equations (NVIDEs) with infinite delay. We study stability, uniform stability and instability of zero solution of the system of NVIDEs with infinite delay. We obtain three new results with regard to these concepts via two new Lyapunov– Krasovskii functionals (LKFs), respectively. As the main contributions of this work, we improve and generalize some earlier results in the relevant database from the linear case to more general nonlinear cases.
The ESG Patterns of Emerging-Market Companies: Are there Differences in their Sustainable Behavior After COVID-19?
Authors: Gonzaga Barbara , Klotzle Marcelo , Brugni Talles , Rakos Ileana-Sorina , Cioca Ionela Cornelia , Barbu Cristian-Marian , Cucerzan Teodora
Published: November 2023

We aim to map the ESG patterns of emerging-market companies from 2018 to 2021 in order to determine whether the COVID-19 pandemic exerted any influence on sustainable corporate behavior. Thus, the ESG performances were assessed by applying the Kohonen neural network for clustering purposes at three main levels: i) ESG overall, including country and sectoral perspectives; ii) ESG thematic; and iii) ESG four-folded (stakeholder, perspective, management level, and focus strategic views). Our results show that emerging-market companies focus their ESG efforts on social and governance issues rather than on environmental. However, environmental, and social behavior differ more acutely than governance behavior across clusters. The ESG pillars country-level and eleven market-based economic sectors analysis corroborate the geographic and sector dependence of ESG performance. The thematic-level analysis indicate that operational activities and community issues received more attention, which suggests that emerging-market companies address distinct ESG topics according to their particularities and competitiveness. Furthermore, our empirical findings provide evidence that the ESG behavior of companies has changed over the course of the COVID-19 pandemic. Thus, our findings are relevant to policymakers involved in regulating ESG disclosure practices, investors focused on enhancing their sustainable investment strategies, and firms engaged in improving their ESG involvement.
Integration of Modified Solvay Process for Sodium Bicarbonate Synthesis from Saline Brines with Steelmaking for Utilization of Electric Arc Furnace Slag in CO2 Sequestration and Reagent Regeneration
Authors: Anto Shadman Monir , Ali Asif , Santos Rafael M.
Published: November 2023

In the pursuit of sustainable solutions for carbon dioxide CO2 sequestration and emission reduction in the steel industry, this study presents an innovative integration of steelmaking slag with the modified Solvay process for sodium bicarbonate (NaHCO3) synthesis from saline brines. Utilizing diverse minerals, including electric arc furnace (EAF) slag, olivine, and kimberlite, the study explored their reactivity under varied pH conditions and examined their potential in ammonium regeneration. Advanced techniques such as XRD and ICP-OES were employed to meticulously analyze mineralogical transformations and elemental concentrations. The findings demonstrate that steelmaking slag, owing to its superior reactivity and pH buffering capabilities, outperforms natural minerals. The integration of finer slag particles significantly elevated pH levels, facilitating efficient ammonium regeneration. Geochemical modeling provided valuable insights into mineral stability and reactivity which aligned with the ICP-OES results. This synergistic approach not only aids in CO2 capture through mineral carbonation but also minimizes waste, showcasing its potential as a sustainable and environmentally responsible solution for CO2 mitigation in the steel industry.
Study on the Influence of Koh Wet Treatment on Red μLEDs
Authors: Zhang Shuhan , Fan Qian , Ni Xianfeng , Tao Li , Gu Xing
Published: November 2023

InGaN-based red micro light-emitting diodes (µLEDs) of different sizes prepared in this work. The red GaN epilayers were grown on a 4-inch sapphire substrate through metal organic chemical vapor deposition (MOCVD). Etching, sidewall treatment, and p- and n- contact deposition was involved in the fabrication process. Initially, the etching process would cause undesirable damages to the GaN sidewalls, which leads to an increase in leakage current. Hence, we employed KOH wet treatment to rectify the defects on the sidewalls and conducted a comparative and systematic analysis on electrical as well as optical properties. We observed that the µLEDs with a size of 5µm exhibited substantial leakage current, which was effectively mitigated by the application of KOH wet treatment. In terms of optical performance, the arrays with KOH demonstrated improved Light Output Power (LOP). Additionally, while photoelectric performance exhibited a decline with increasing current density, the devices treated with KOH consistently outperformed their counterparts in terms of optoelectronic efficiency. It is noteworthy that the optimized devices displayed enhanced photoelectric characteristics without significantly altering their original peak wavelength and FWHM. Our findings point to the elimination of surface non-radiative recombination by KOH wet treatment, thereby enhancing the performance of small-sized red µLEDs which has significant potential in realizing full-color micro-displays in near-eye projection applications.
Mineral Characterization using Scanning Electron Microscopy (SEM): A Review of the Fundamentals, Advancements, and Research Directions
Authors: Ali Asif , Zhang Ning , Santos Rafael M.
Published: November 2023

Scanning electron microscopy (SEM) is a powerful tool in the domain of material science, mining, and geology, owing to its enormous potential to provide unique insights into the micro and nanoscale worlds. This comprehensive review discusses the background development of SEM, basic SEM operation including the specimen preparation and imaging process, and fundamental theoretical calculations underlying the SEM operation. It provides foundational understanding to the engineers and scientists, who never got a chance to dig in-depth into the SEM, to understand the working and development of this robust analytical technique. The present review covers how SEM has been serving as a crucial tool in mineral characterization, with specific discussions on the working and research fronts of SEM-EDX, SEM-AM, SEM-MLA, and QEMSCAN. With automation gaining pace in the development of all spheres of technology, the understanding of uncertainties in SEM measurements is very important. The constraints in mineral phase identification by EDS spectra and sample preparation are conferred. In the end, future research directions for SEM are analyzed with the possible incorporation of machine learning, deep learning, and artificial intelligence tools, for automating the process of mineral identification, quantification, and efficient communication with the researchers, so that the analytical process robustness and objectivity can be improved, and the analysis time and the involved costs can be brought down. This review also discusses the idea of integrating robotics with SEM, to make the equipment portable, so that further mineral characterization insights can be gained not only on earth but also on other terrestrial grounds.
Towards Optimal Solar Energy Integration: A Deep Dive into AI-Enhanced Solar Irradiance Forecasting Models
Authors: Hanif Muhammad Farhan , Naveed Sabir , Si Jicang , Liu Xiangtao , Mi Jianchun
Published: November 2023

Keywords: Artificial Neural Network (ANN), Support Vector Machine (SVM), Support Vector Regression (SVR), Lightweight Gradient Boosting Machines (Light GBM), Machine Learning, Solar Irradiance (SI), Solar forecasting
The Prospect of Quantum Amplitude Estimation Based on the Development of the Quantum Volume
Authors: Hoek Carmen , Jong Jins de
Published: November 2023

Quantum amplitude estimation is a numerical integration technique and a candidate for the first operationally used quantum algorithm providing a quantum advantage in the NISQ era. Its main metric is the generated Fisher information per second, as it describes the accuracy of the numerical integration. The development of this metric can be coupled to the quantum volume of the used quantum processor with a phenomenological noise model. Since the increase of the quantum volume seems to follow an exponential pattern, insight in the integration power of quantum amplitude estimation for the upcoming years can be obtained. This shows that quantum amplitude estimation as a numerical integration technique will not provide an advantage for functions without significant improvements to the connectivity, reliability and speed of quantum processors. Beyond that, this method may be used the estimate the development of many more NISQ era algorithms.
Combined Effect of Sterilisation and Prior Frozen Storage Time on Quality Loss of Canned Horse Mackerel (Trachurus trachurus)
Authors: Villamarín Elena , Martínez Beatriz , Trigo Marcos , Aubourg Santiago P.
Published: November 2023

The combined effects of the thermal processing (i.e., sterilisation treatment) and the prior frozen storage time (3 or 6 months at –18 ºC) on the quality loss in canned Atlantic horse mackerel (Trachurus trachurus) were determined. Thus, the sterilisation step led to a remarkable (p<0.05) formation in canned fish muscle of fluorescent compounds, free fatty acids (FFAs) and trimethylamine and to an increase of the L* and b* colour parameters; meantime, a decrease (p<0.05) of the total ω3 FA/total ω6 FA ratio and the a* colour value were detected. The prior frozen storage period led to an increased (p<0.05) lipid oxidation (peroxide, thiobarbituric acid reactive substance and fluorescent compound formation) and hydrolysis (FFA formation) development and to increased L* and b* colour values in the corresponding canned samples; additionally, a lower (p<0.05) polyene index and phospholipid content were observed in canned fish previously subjected to frozen storage. In most indices, physico-chemical changes related to quality loss were found higher if the previous storage period was increased. According to the marked effects of the sterilisation step and the prior frozen storage period, optimisation of such processing conditions is recommended to maximise the quality of canned horse mackerel.
Preparation of Glutamine-Enriched Fermented Feed from Corn Gluten Meal and Its Functionality Evaluation
Authors: Fan Lei , Liu Xiaolan , Deng Yongping , Zheng Xiqun
Published: November 2023

China faces a persistent deficiency in feed protein resources. Enhancing the utilization efficiency of indigenous feed protein resources emerges as a viable strategy to alleviate the current deficit in protein feed supply. Corn gluten meal (CGM), characterized by high proportion of crude protein and glutamine, is predominantly employed in animal feed. Nonetheless, the water-insolubility of CGM protein hampers its protein bioavailability when utilized as feed material. This study aimed to augment protein bioavailability, liberate glutamine peptides from CGM, and produce gluta-mine-enriched CGM fermented feed. We executed a co-fermentation protocol using Bacillus subtilis A5, Lactobacillus 02002, and acid protease to generate the CGM fermented feed. Subsequent in vivo experiment with broilers were conducted to assess the efficacy of the fermented product. Findings revealed that the soluble protein, glutamine, small peptides, and lactic acid contents in the fer-mented feed increased by 69.1%, 700%, 47.6%, and 125.9%, respectively. Incorporating CGM fermented feed into the diet markedly enhanced the growth performance and intestinal health of broilers, positively modulated the cecal microbiota structure, and augmented the population of beneficial bacteria, specifically Lactobacillus. These results furnish both experimental and theoretical foundations for deploying CGM fermented feed as an alternative protein feed resource.
Data-Driven Models’ Integration for Evaluating Coastal Eutrophication: A Case Study for Cyprus
Authors: Hadjisolomou Ekaterini , Rousou Maria , Antoniadis Konstantinos , Vasiliades Lavrentios , Kyriakides Ioannis , Herodotou Herodotos , Michaelides Michalis
Published: November 2023

Eutrophication is a major environmental issue with many negative consequences, such as hypoxia and harmful cyanotoxins production. Monitoring coastal eutrophication is a crucial, especially for island countries like the Republic of Cyprus, which are economically dependent on the touristic sector. Additionally, the open-sea aquaculture industry in Cyprus has been exhibiting an increase in the last decades and environmental monitoring to identify possible signs of eutrophication is mandatory according to the legislation. Therefore, in this modelling study, two different types of Artificial Neural Networks (ANNs) are developed based on in situ-data collected from stations located in the coastal waters of Cyprus. Theses ANNs aim to model the eutrophication phenomenon based on two different data-driven modelling procedures. Firstly, the self-organizing map (SOM) ANN examines several water quality parameters (specifically water temperature, salinity, nitrogen species, ortho-phosphates, dissolved oxygen and electrical conductivity) interactions with the Chlorophyll-a parameter. The SOM model enables us to visualize the monitored parameters relationships and to comprehend complex biological mechanisms related to Chlorophyll-a production. A second feed-forward ANN model is also developed for predicting the Chlorophyll-a levels. Based on this ANN model, several scenarios associated to the eutrophication-related water quality parameters can be extracted. The combination of these two ANNs models is considered a holistic modelling approximation for the identification of eutrophication scenarios, since it enables not only the prediction of the Chlorophyll-a parameter levels, but also the “capturing” of hidden biological mechanisms associated with algal production.
Reliability of the 3-Meter Backward Walk Test and Association with Functional Gait Assess-ment in Individuals with Stroke
Authors: Kapan Ali , Ristic Milos , Yang Lin , Kranz Gottfried , Waldhör Thomas
Published: November 2023

In the context of evaluating physical function in individuals with stroke, the 3-meter backward walk test (3MBWT) emerges as a potential tool of interest. The purpose of this study was to assess the test-retest reliability and construct validity of the 3MBWT and its correlation with falling incidents. Conducted in a neurological rehabilitation center, 35 ambulatory individuals with stroke were enrolled within a month post-stroke onset. These participants, with a Functional Ambulation Category score of ≥4, underwent the 3MBWT, Functional Gait Assessment (FGA), 10-Meter Walk Test (10MWT), and 6-Minute Walk Test (6MWT) three times by different physiotherapists. Results indicated the 3MBWT displayed high reliability (r=0.97-0.98) and showed significant construct validity with other established walking tests like the 6MWT (r=-0.78) and 10MWT (r=0.71), with a moderate correlation to the FGA (r=-0.54). No marked differences in test outcomes were observed between participants based on their fall history. Conclusively, the 3MBWT proves to be highly reliable and validates well with existing walking function assessments for stroke patients, suggesting its potential as a time-efficient alternative.
A Pilot Multisensory Approach for Emotional Eating: Pivoting from VR to a 2-D Telemedicine Intervention during the Pandemic
Authors: Malighetti Clelia , Schnitzer Ciara Kelly , YorkWilliams Sophie Lou , Bernardelli Luca , Runfola Cristin , Riva Giuseppe , Safer Debra L.
Published: November 2023

Emotional eating (EE) can be understood as a manifestation of difficulties with emotion regulation (ER) among individuals with eating disorders. Existing interventions do not always successfully treat EE. We developed a novel ER intervention based upon virtual reality to improve EE among adults with an eating disorder diagnosis. The design pivoted to non-immersive virtual delivery to increase access, particularly given heightened demand during COVID-19 for EE treatment. The study aimed to investigate the feasibility, acceptability, and preliminary signals of effectiveness of this novel ER protocol that utilized evidence-based strategies such as mindfulness and imagery rescripting as well as innovative techniques such as virtual reality. Twenty-one adults with a history of an eating disorder diagnosis and self-reported EE were recruited from the Adult Eating Disorders Program within Stanford University to receive seven weekly one-hour virtual experiences (VE) focusing on ER. Participants chose between the novel VE-Emotion Regulation (VE-ER) intervention or continuing with their current treatment as usual. Before and after the seven sessions, participants completed an assessment by filling out online questionnaires. Overall, VE-ER treatment was feasible (100% completion), and participant and therapist acceptability of VE-ER treatment was fairly high. In terms of preliminary effectiveness, the results showed a significant reduction in the frequencies of disordered eating behaviors in both groups, but a greater improvement in EE in the VE-ER group. The VE-ER group also had a significant reduction in emotion dysregulation after the treatment.
Optimization of Dual-Design Operation Ventilation System Network Based on Improved Genetic Algorithm
Authors: Feng Yanbo , Zhu Han , Feng Xiwen , Chen Qianru , Sun Xiangyu , Li Zhengrong
Published: November 2023

The COVID-19 pandemic has emphasized the crucial role of ventilation systems in mitigating cross-infections, especially in infectious disease hospitals. This study introduces a dual-design operation ventilation system that can operate under two sets of ventilation conditions for normal and epidemic times. A challenge is optimizing duct diameters for required airflow while maintaining hydraulic balance. We design a genetic algorithm with adaptive penalty factor, the velocity constraint and the improved crossover and mutation probability. The improved genetic algorithm is suitable for ventilation system networks, which can find a better air duct diameters combination to improve the hydraulic balance rate, and reduce the usage of air valves, resulting in efficient hydraulic balancing commissioning. Compared with the traditional genetic algorithm, it has a faster search speed and a better global search ability, which is effective for the optimal design of ventilation system networks.
Optimization of Offshore Wind Farm Locations Using Gis-Based Tools
Authors: Przewnoźniak Magdalena , Wyrwa Artur , Zyśk Janusz , Raczyński Maciej , Pluta Marcin
Published: November 2023

The aim of this study was to determine the technical potential of the Polish Exclusive Economic Zone and to identify potential areas for offshore wind development. The paper proposes a GIS-based methodology in which a unique set of constraint-related criteria was employed to select the bests sites. These criteria included wind velocity, water depth, distance from nature conser-vation areas, distance from submarine cables and gas pipelines, distance from shipping routes, distance from fishing areas, distance from shipwrecks, distance from coastline. The Analytic Hi-erarchy Process was employed to indicate the best locations. Accordingly, the total suitable marine area of 16218.67 square kilometers was divided into three parts, in which the highly suitable area accounted for 17.55%, the moderately suitable area was 48.56%, and the marginally suitable area was 10.26%. Two different spatial configurations for the deployment of individual wind turbines were considered to assess the offshore wind potential. First configuration could accommodate 3664 turbines with overall electrical capacity equal to 54.96 GW, whereas the second one 2347 turbines with overall electrical capacity equal to 35.2 GW. The technical potential only in highly suitable areas was equal to 15.24 GW and 9.15 GW, respectively. The results were presented in the form of maps over the domain covering with spatial resolution of 1 km x 1 km.
Engagement of Mesenchymal Stromal Cells in the Remodeling of Bone Marrow Microenvironment in Hematological Cancers
Authors: Giallongo Sebastiano , Duminuco Andrea , Dulcamare Ilaria , Zuppelli Tatiana , Spina Enrico La , Scandura Grazia , Santisi Annalisa , Romano Alessandra , Di Raimondo Francesco , Tibullo Daniele , Palumbo Giuseppe Alberto , Giallongo Cesarina
Published: November 2023

Mesenchymal stromal cells (MSCs) are a subset of heterogeneous non-hematopoietic fibro-blast-like cells which play important roles in tissue repair, inflammation, and immune modula-tion. MSCs residing in the bone marrow microenvironment (BMME) functionally interact with hematopoietic stem progenitor cells regulating hematopoiesis. However, MSCs have also emerged in the last years as key regulator of tumor microenvironment. Indeed, they are now con-sidered as active players in the pathophysiology of hematologic malignancies rather than passive by-standers in hematopoietic microenvironment. Once the malignant event occurs, the BMME acquires cellular, molecular, and epigenetic abnormalities affecting tumor growth and progres-sion. In this context, MSC behavior is affected by signals coming from cancer cells. Furthermore, it has been showed that stromal cells themselves play a major role in several hematological malig-nancies’ pathogenesis. This bidirectional crosstalk creates a functional tumor niche unit wherein tumor cells acquire a selective advantage over their normal counterpart and are protected from drug treatment. It is therefore of critical importance to unveil the underlying mechanisms which activate a protumor phenotype of MSCs for defining unmasked vulnerabilities of hematological cancer cells which could be pharmacologically exploited to disrupt the tumor/MSCs coupling. The present review will focus on the current knowledge about MSC dysfunction mechanisms in the BMME of hematological cancers, sustaining tumor growth, immune escape, and cancer pro-gression.
Задача о преследовании с произвольным начальным углом прицеливания
Authors: Бодряков Владимир Юрьевич , Bodryakov Vladimir Yur'evich
Published: November 2023

Получено точное решение задачи о преследовании в системе «хищник--жертва» для произвольного начального угла прицеливания $0<\alpha_0<180^\circ$ в форме уравнения кривой преследования. Получены точные неявные временные уравнения движения хищника и жертвы и расстояния между ними. Найдены длины кривых преследования для произвольных углов $\alpha_0$, в том числе кривой наикратчайшего преследования. Проведено реалистичное численное моделирование движения хищника и жертвы в пространстве и во времени. Определена область успешности преследования при ограниченном ресурсе движения хищника. Полученное общее решение задачи о преследовании с произвольным начальным углом прицеливания предоставляет широкие возможности для численного моделирования, что важно для обеспечения высокого уровня прикладной математической подготовки будущих исследователей, инженеров, педагогов.
CORAL REEF TRANSPLANT SUCCESS RATE IN BONETAMBU ISLAND, SPERMONDE ARCHIPELAGO
Authors: Polapa Funty , Suharto Suharto
Published: November 2023

The world's coral reefs are under threat from human activities through pollution and habitat changes. This condition is influenced by several factors, such as human activities and natural phenomena. Many efforts have been made by humans to overcome or repair coral reef ecosystems that have been damaged. One of the efforts made is to carry out coral transplants. The main goal of coral transplantation is to improve the quality of coral reefs such as increasing live coral cover, biodiversity and uniqueness of coral topography. The stages of the method carried out in the research include mapping the bottom of the waters (sounding); mapping conditions of water cover; transplantation process and monitoring. This study used the spider skeleton method for the transplant media. The results showed that the percentage of live coral cover ranged from 10% - 25% and it was found that rubble cover dominated up to >70%. During the monitoring process, it was found that algae dominated almost all of the transplant media. The high nutrients and the lack of algae-eating fish resulted in a high algae cover found on the surface of the structure and had an impact on the death of the transplanted corals. Efforts are being made to regularly clean algae to increase the survival rate and replant dead coral
Meta-Analysis of Higher PEEP Strategies' Effects on Mortality Rates and Inflammatory Mediators in Patients with ARDS: A Perspective Review on Patients with Severe COVID-19-Associated ARDS
Authors: Supranoto Yehuda Tri Nugroho , Negara I Made Putra Wira
Published: November 2023

Background: Different strategies of positive end-expiratory pressure (PEEP) in mechanical ventilation are crucial for patients with coronavirus disease 2019 (COVID-19)-associated acute respiratory distress syndrome (ARDS). PEEP acts as a “double-edged sword” for ARDS patients. PEEP could recover pulmonary atelectasis but can induce alveolar hyperinflation.
Objective: This review aimed to evaluate the effect of higher PEEP in patients with severe COVID-19-associated ARDS.

Method: This meta-analysis included randomized controlled trial (RCT) studies to assess the mortality rates, barotrauma events, and inflammatory mediators modulation due to higher PEEP strategies. The pooled effect of the mortality rates and barotrauma events were presented as risk ratios (RR) with 95% confidence of interval (CI) using random-effects model (REM) or fixed-effects model (FEM).

Results: We identified twelve RCTs comparing higher versus lower PEEP in ARDS patients. There was unsignificant result in overall mortality rates group [RR=0.94,95%CI(85,1.03),p=0.21] but not in mortality after positive response of oxygenation group [RR=0.88,95%CI(0.81,0.95),p=0.002] in higher PEEP group. In terms of patients without positive response of oxygenation, higher PEEP group had significantly higher mortality rates [RR=1.07,95%CI(1.00,1.15),p=0.06]. Higher PEEP significantly reduced the mortality rates in ARDS patients with PaO2/FiO2<150 mmHg [RR=0.867,95%CI(0.74,1.00),p=0.04] instead of patients with moderate ARDS (PaO2/FiO2 ≥150 mmHg) [RR=1.12, 95%CI(0.85,1.47), p=0.44]. There were no differences in overall barotrauma events [RR=1.03,95%CI(0.78,1.36),p=0.85] between higher and lower PEEP group. The use of higher and lower PEEP also contribute to the modulation of inflammatory mediators including TNF-α, IL-6, IL-1RA, and IL-8.

Conclusion: Higher PEEP could reduce the mortality of patients with ARDS who responded to the oxygenation. Higher PEEP does not increase the risk of overall barotrauma events. Higher PEEP can modulate the inflammatory mediators.
TBMM Tutanakları Çevresinde İstiklâl Marşı Olarak Kaleme Alınan Şiirler ve Değerlendirilmeleri
Authors: AKBABA Mehmet Fatih , ÇELİK Yakup
Published: November 2023

23 Nisan 1920’de TBMM’nin kurulmasıyla birlikte devlet kurmanın gereği olarak bir İstiklâl Marşı’nın yazılması ve bestelenmesi gerekmektedir. Bu iş için de dönemin Maarif Vekâleti görevlendirilir. Cephede henüz savaş devam etmektedir. Büyük Taarruz daha başlamamıştır. Bütün bunlara rağmen İstiklâl Marşı yazımına gösterilen hassasiyet TBMM tutanaklarından anlaşılmaktadır.

TBMM’de İstiklâl Marşı tartışmalarının tümü daha iyi bir metin ortaya çıkmasına yönelik hassasiyet çevresindedir. Hamdullah Suphi Bey, bütün şiirleri okumuş ve ön değerlendirmesini yapmış olmak, peşinden Mehmet Akif Bey’e müracaat etmek suretiyle sürecin yönlendiricisi olmuştur. Muhalif gibi görünen ve itiraz eden milletvekillerinin isteği ehliyetli kişilerden oluşan edebî bir heyetin kurulması ve onların karar vermesi yönündedir. Buna karşılık şiirlerin marş olmadan önce yine heyet tarafından kısmen değiştirilmesini öneren milletvekilleri de vardır.

Yarışmaya, Mehmet Akif’in eseri dışında, 724 şiir katılır. Bu eserlerden ilk elemeyi geçen ve TBMM’ye gelen 7 şiir kayda geçer. Diğer metinlere ulaşılamamıştır.