Sustained Levels Research Articles

Public Debt and It’s Impact on Bank Behaviour and Financial Efficiency: Ghana in Perspective

This study explored the impact of public debt on bank behaviour and financial efficiency in Ghana amid rising global and national debt levels exacerbated by the COVID-19 pandemic’s economic repercussions. An exploratory research design employing a quantitative approach was used to analyze the perceptions of 201 banking professionals across Ghana. The study utilized cluster and purposive sampling techniques to ensure a representative sample. Data were collected on banks’ risk-averse behaviour, credit availability, interest rates, and investment decisions in relation to public debt levels, using survey instruments and regression analysis to quantify the impacts. The findings reveal significant concerns among banking professionals regarding the influence of high public debt on conservative lending practices, increased interest rates, reduced credit availability, and adverse effects on banks’ profitability and the financial system’s stability. Regression analysis confirmed a negative relationship between public debt and financial efficiency, indicating that rising public debt levels may hinder the sector’s operational effectiveness. These results underscore the critical need for strategic fiscal management to mitigate the risks associated with high public debt levels on financial stability and development. Policymakers and financial institutions are urged to consider measures that promote financial sector efficiency and sustainable debt levels, including fiscal consolidation strategies, diversification of investment portfolios, and enhancement of risk assessment models. This study contributes to the empirical discourse on the effects of public debt on financial development by providing insights specific to the Ghanaian context, which has been relatively underexplored.

A neutrosophic WENSLO-ARLON model for measuring sustainable brand equity performance

Sustainable brand equity denotes the perceived brand equity by consumers, influenced by companies' non-financial and environmental practices. To cultivate sustainable brand equity, corporations undertake green initiatives and engage in social responsibility endeavors, thereby communicating environmentally oriented messages to consumers. Companies feel the necessity to establish a competitive position in sustainability relative to their counterparts. Hence, the primary objective of this research is to conduct an inquiry aimed at identifying sustainable brand equity to meet this exigency of companies. In this context, the motivation of this study lies in treating the calculation of sustainable brand equity as a decision-making process and developing a decision support system for this purpose. The proposed decision support system for determining sustainable brand equity levels in this research has three fundamental inputsss: experts, criteria, and brands. The impact levels of experts on the decision-making process are quantified utilizing type-2 neutrosophic number (T2NN) sets. The weights of criteria are ascertained employing the weight by envelope and slope (WENSLO) method extended with T2NN sets. The ranking of sustainable brand equities is established through the innovative T2NN-based alternative ranking using two-step logarithmic normalization (ARLON) method. These methodologies are amalgamated, and the T2NN-WENSLO-ARLON hybrid model is posited as a decision support system for evaluating sustainable brand equity performance. An algorithm for T2NN-WENSLO-ARLON is formulated and elucidated alongside a case study focusing on companies operating in the cosmetics sector in Turkey. The case study identifies the “green product leadership” criterion as the most influential factor in determining sustainable brand equity. Furthermore, the cosmetic company “Misbahçe Inc.” is identified as the brand with the highest sustainable brand equity. Sensitivity and comparative analyses are conducted to ascertain the robustness of the results and the decision model. All scenario outcomes bolster the decision model. The research provides comprehensive insights into both the developed tool for calculating sustainable brand equity and develops implications for the cosmetics industry.

Northeast Atlantic fish stock productivity hindcasts and forecasts from a Bayesian framework reveal pronounced climate‐induced dynamics

AbstractClimate change continues to exert pressure on ocean ecosystems. The fisheries‐related responses, such as altered body growth, recruitment and spatial distribution of the targeted stock(s), have generally been reasonably well investigated. Nevertheless, there are still important knowledge gaps in how biophysical drivers impact stock productivity and thereby sustainable harvest levels. Considering this, we investigated 26 fish stocks in the Northeast Atlantic, a region characterized by accelerated climate change effects and a diverse set of fisheries. A novel, stepwise, Bayesian framework to quantify stock productivity was established to identify shared trends and project future patterns, aiming at determining essential baselines for adaptive fishery management in the face of climate change. Despite variation among large marine ecosystems and stocks, an overall declining trend in productivity over the past four decades was observed, especially in high‐latitude areas. These hindcast results were mainly attributed to higher temperatures posing negative effects on productivity, which was dependent on the stock's thermal preference. Contrastingly, the proxy for food availability – gross secondary production – exhibited less consistent impacts. In the forecast, the applied Shared Socio‐economic Pathways (SSPs) indicated that most stocks are likely to encounter adverse effects, with the worst cases expected to occur under SSP2‐4.5 in the 2050s, and under SSP5‐8.5 in the 2090s. Thus, this study generally not only supports earlier climate vulnerability assessments (‘scorings’) of experts but also provides evidence for revised directional effects under climate change, underlining the complexity of processes affecting stock productivity.

Assessing the ecological security of the Three Gorges reservoir complex ecosystem based on the improved three-dimensional emergy ecological footprint model

The ecological security (ES) of the reservoir complex ecosystem (RCE) is one of the critical components of watershed water security and sustainable development. Hence, accurately assessing the ES of the RCE is of utmost importance. This study proposed a novel ecological security assessment model based on the improved three-dimensional emergy ecological footprint (ESM-IEEF3D), which integrated various emergy flows during the RCE's construction and operation into a three-dimensional emergy ecological footprint (EEF3D) calculation account. The Three Gorges Project (TGP) is selected as a case study to evaluate the ES from 1993 to 2022 comprehensively. The results showed that the Three Gorges RCE mainly showed an ecological remainder state, and the inflow runoff enormously promoted the TGP's sustainability. The EEF3D indicated a fluctuation decrease trend with a mean value of 7.18 × 102 ha, illustrating that TGP's ecological security and sustainability levels are gradually improving. Regarding the ES evaluation indicators, the TGP's resource dependency and ecological pressure on the natural ecosystem and the external socio-economic system are steadily relieved. Furthermore, the Three Gorges RCE's resource utilization condition is safe, the structural characteristics are healthy, and the eco-economic coordination degree is continuously enlightening. Finally, applicable policy implications for improving the ecological security of Three Gorges RCE were provided. This study helps to understand the complex relationship between humans and ecosystems. It provides a novel framework to be used as an evaluation index and policy insights for hydropower ecological security and sustainable development.

Evaluation mechanism of sustainable development level for the cities in the Yangtze River Economic Belt under the dual-carbon policy.

Low carbon sustainable development (LCSD) has become an inevitable choice, for which China has put forward a "dual-carbon" policy. The purpose of this study is to capture the interaction between the environment and the economy in the context of this goal, thus evaluating LCSD level from a systematic perspective. This paper proposes a super slack based measurement (SBM) model with a non-equal weight structure to assess the LCSD level. Firstly, a maximum influence minimum redundancy (MIMR) index selection algorithm is designed to establish input and output index systems, which avoids redundancy indexes. Secondly, the objective function of the original super SBM employs an equal weight structure, which leads results inadequately reflect the research preferences. Therefore, the weights of indexes are introduced to form an improved super SBM. Finally, 40 cities along the Yangtze River Economic Belt (YREB) are selected for empirical analysis. Results show that (1) the LCSD level of YRBE decreases from downstream to upstream to midstream; (2) Jiangsu, Zhejiang, and Sichuan provinces have higher LCSD levels, while Hunan and Jiangxi provinces have lower levels; and (3) up to 2021, there are 32 effective cities and 8 ineffective cities. The research implies that balancing the economy-environment relationship is crucial for higher efficiency. The LCSD evaluation method not only reflects the coordination level between the economy and the environment, but also integrates the research preference into the results, providing decision support for the government to formulate carbon reduction policies and allocate resources.

Selectivity-based management for reversing overexploitation of demersal fisheries in North-western Mediterranean Sea

Bottom trawling in the Mediterranean Sea has compromised the availability of demersal fishery resources, primarily due to decades of overexploitation beyond sustainability thresholds. Low selective bottom trawl nets have exacerbated this situation by catching large numbers of under-sized or immature individuals of targeted and not-targeted commercial species that are subsequently discarded. EU legislation requires EU Mediterranean countries to recover demersal fish stocks to sustainable levels by January 2025. This is a challenging requirement under current management scenarios that mainly focus on reducing fishing hours, compromising the activity of the fleets. While social networks among fishing fleets and fisherman associations are essential for facilitating the transition to sustainable exploitation, improving the selectivity of bottom trawl gears is proposed as a viable option beyond reducing fishing hours. This study presents the benefits of improving bottom trawlers net selectivity in multi-species NW Mediterranean coastal and deep-sea fisheries to reduce the catch of non-commercial sizes and discards. Data from selectivity experiments and literature review, fish market landings and a regional monitoring program in the FAO geographical sub-area 6 were used. Results indicate that in the short term, enhanced selectivity leads to an increase in the proportion of fish that are closer to their minimum conservation reference sizes or sizes at maturity, while minimising the impact on commercial catches. Sustainability may be achieved, though beyond 2025, with measures complementing selectivity. These include the adoption of semi-pelagic otter doors to mitigate the impact of trawlers on the seabed and the expansion of no-take marine reserves to ensure habitat recovery and spillover effects.

Energy intake, hydration status, and sleep of world-class male archers during competition.

Nutritional intake and sleep, play an important role for recovery and performance in elite sport but little work has been undertaken in archery. The present study aimed to assess energy intake (EI), hydration status, and sleep parameters in world-class male archers over the course of a four-day competition. Results, Conclusions Six male, elite-standard archers participated in the study and measurements of hydration status, EI, competition load, and sleep were recorded throughout each day of competition. Daily energy, carbohydrate, and protein intake ranged between 2,563 and 3,986 kcal, 4 and 7.1 g/kg BM, 2.2 and 3.6 g/kg BM per day, respectively. Thus, archers practiced elements of periodized nutrition such that energy and carbohydrate intake was greater on the high-volume competition days (i.e. days 1 and 3; more numbers of arrows, longer duration, and walking distance) in comparison to low-volume days (days 2 and 4) over the tournament (all p > 0.01). Additionally, urine specific gravity was higher after waking, compared to pre- and post-competition, and before bed (all p < 0.05). This indicates that archers were euhydrated pre- and post-competition and before bedtime, while they were slightly hypohydrated after waking up. Sleep data show that disturbances were kept to a minimum. Collectively, archers appear capable of periodizing their nutritional intake according to daily physical loading during a tournament whilst, staying euhydrated and maintaining sleep quality. In part, such data can help to explain why these archers experience a sustained level of success.

Programmable spatially-varying linearly polarized light with high degree of polarization for planar liquid crystal photonics

The use of liquid crystal spatial light modulator (LC-SLM) to manipulate the polarization of the light has been widely explored for different applications, including optical field manipulation, maskless lithography, polarization imaging, and LC planar-optics, among others. Precise polarization manipulation of LC-SLM is therefore highly demanded. Here, we introduce a high-efficiency approach for calibrating the polarization manipulation of a parallel-aligned LC-SLM. The approach revolves around the primary calibration criterion, the degree of polarization (DoP). Through parameter optimization to generate the calibration grayscale, a remarkable DoP as high as 97 % can be attained, with a sustained DoP level of up to 93.7 %. Experimental results showcase outstanding DoP uniformity in the modulated beam achieved with the calibrated LC-SLM. The root mean square error (RMSE) of polarization for modulated light from LC-SLM is about 0.018. A pixelated polarization calibration approach is proposed to enable efficient and precise programming of spatially-varying linearly polarized light (SVLPL), which can be further verified by the implementation of the Pancharatnam-Berry (PB) lens. The resolution of the fabricated LC planar optical elements with our setup can reach 1.54 μm. The programmable SVLPL with high DoP and resolution is potentially useful for many applications in planar optics and vectorial optical field manipulation.

The Role of Digital Management and Smart Technologies for Sports Education in a Dynamic Environment: Employment, Green Growth, and Tourism

ABSTRACT Digitalization management, sports education, tourism and smart urban technologies are crucial for urban energy systems and environmental sustainability. Environmental sustainability is a critical global challenge, and countries emphasize combating the rising environmental issues. Undoubtedly, the globe has proposed several initiatives to address rising ecological matters, but the problem remains intact. This study shows a new pattern, including problems and vital solutions with fresh insights. Despite countries launching initiatives to combat environmental degradation (ED), ecological concerns continue to persist. Empirical research has considered income, urbanization, digitization, sports employment, tourism, and green energy as core sustainability determinants in selected European economies (2010–2021). Applying a series of estimators, we determined that income, urbanization, sports, and tourism are the leading causes of ED, while digitization and green energy contribute significantly to sustainable development. Additionally, digitization plays a significant mediating role in sustaining urban energy systems. The study offers helpful implications for achieving desired sustainability levels.

Simultaneous measurement of duloxetine hydrochloride and avanafil at dual-wavelength using novel ecologically friendly TLC-densitometric method: application to synthetic mixture and spiked human plasma with evaluation of greenness and blueness

The simultaneous assay of duloxetine hydrochloride (DLX) and avanafil (AVN) in their pure forms, synthetic mixtures, and spiked human plasma was achieved using a novel, eco-friendly, sensitive, and specific HPTLC methodology that have been established and validated. Measuring the levels of co-administered antidepressants and sexual stimulants in biological fluids is an important step for individuals with depression and sexual problems. Separation was performed successfully using pre-coated silica gel 60-F254 as a stationary phase and a mobile phase composed of methanol, acetone, and 33% ammonia (8:2:0.05, v/v/v). Compact bands were produced by the optimized mobile phase that was chosen for development (Rf values were 0.23 and 0.75 for DLX and AVN, individually) after dual-wavelength detection for DLX and AVN at 232 and 253 nm, respectively. The results of polynomial regression analysis were exceptional (r = 0.9999 for both medicines) over concentration ranges of 5-800 and 10-800ng/spot for DLX and AVN, respectively. The quantitation limits were 4.69 and 9.53 ng/spot (0.31 and 0.94 µg/mL), whereas the detection limits were 1.55 and 3.15 ng/spot (0.63 and 1.91 µg/mL), for DLX and AVN, respectively. The International Council for Harmonization (ICH) criteria served as the basis for validating the established approach. Moreover, the proposed technique was evaluated in terms of greenness using four contemporary ecological metrics: The Analytical Greenness software (AGREE), the Green Analytical Procedure Index (GAPI), Eco-Scale, and the National Environmental Method Index (NEMI). Additionally, the Blue Applicability Grade Index (BAGI), a newly developed tool for evaluating the practicality (blueness) of procedures, was taken into consideration when evaluating the sustainability levels of the established approach.

Sexual dimorphism and reproductive biology of commercially harvested oriental rat snakes (Ptyas mucosa: Colubridae) from West Java

Large (&gt;3 m) slender-bodied rat snakes are abundant in agroecosystems of southern Asia and are heavily exploited for their skins and meat. We examined 216 specimens killed at commercial facilities in Cirebon, West Java, to quantify morphological and reproductive traits and evaluate harvest sustainability by comparing this sample to one taken 25 years previously. The snakes we examined were mostly adults, and mostly male. Females were less heavy-bodied than males of the same body length, matured at a larger size than males, but attained smaller maximum sizes. Reproduction and energy (fatbody) storage was seasonal in both sexes, with females containing oviductal eggs primarily during the annual wet season. Clutch size averaged 12.6 eggs and increased with maternal body size. Comparison of the two samples taken 25 years apart revealed strong similarity in sex ratio, the numerical preponderance of adults, body sizes at sexual maturation and mean adult body sizes, sexual dimorphism in body length and mass, reproductive seasonality in females, mean fecundity, and the relationship between fecundity and maternal body size. That consistency suggests that commercial harvesting over the intervening period has not affected the biological traits of rat snake populations, consistent with a sustainable level of offtake.

Abstract PO5-18-11: Use of DiviTum®TKa as a biomarker assay for CDK4/6 inhibitor medication compliance and drug-drug interaction assessment in ER/PR positive metastatic breast cancer

Abstract Background: CDK4/6 inhibitor (CDK4/6i) with endocrine therapy (ET) is standard first line (1L) treatment for metastatic hormone positive (ER/PR+) HER2- negative breast cancer (mBC). Some patients have progression free survival (PFS) of 2 years or more whereas some patients have very short PFS on these medications. Thymidine kinase is a biomarker that reflects cell proliferation. DiviTum®TKa is an assay that was cleared by the FDA in July 2022 based on data that showed that thymidine kinase activity (TKa) value of &amp;lt; 250 DiviTum units (DuA) is associated with the decreased likelihood of disease progression within 30 days or 60 days post testing. The purpose of this study is to assess the use of TKa as a biomarker for identifying potential medical compliance issues and drug-drug interactions (DDI) in patients on CDK4/6i and to evaluate whether counseling and optimization of concurrent medications will lead to lower TKa levels in subsequent treatment cycles and possibly longer PFS. Trial design: This is a pilot study to assess whether TKa can serve as a biomarker to identify patients with a suboptimal reduction in tumor cell proliferation caused by a potential CDK4/6i compliance or DDI issue. We will also assess whether correction of the issue can improve suppression of TKa levels in ER/PR+ mBC patients on 1L CDK4/6i and ET. For screening, we are utilizing a novel automated real-time data driven cohort identification system designed by Dr. Guannan Gong at Yale. Patients will be treated and monitored as per standard of care. An aliquot of serum obtained during routine blood draws will be sent to a CLIA-certified Biovica lab for TKa testing. TKa results will be returned in real time. Patients with a detectable TKa baseline level (above 145 DuA), followed by a sustained TKa level (&amp;gt;145 DuA) at cycle 1 D15 and D28 will be assessed for medication compliance and DDI. TKa levels will be repeated at subsequent standard of care blood draws to assess if the intervention affected TKa levels. Patients will be followed for 2 years. Eligibility criteria: Participants must have ER+ mBC and starting 1L CDK4/6i + ET and be previously CDK4/6i -naïve. Specific aims: Primary objective: to estimate the rate of improvement in CDK4/6i response (change in TKa levels) after counseling for medication compliance and adjustment of potential deleterious DDIs. Secondary objectives: 1) estimate the rate of sub-optimal CDK 4/6i response in cycle 1 of treatment. 2) Compare clinical benefit rate (CBR) in patients with sub-optimal and optimal CDK4/6i response after both cycles 1 and cycle 3. 3) Compare PFS in patients with sub-optimal and optimal CDK 4/6i response after both cycles 1 and cycle 3. 4) Assess CDK4/6i response via TKa levels upon CDK4/6i dose reductions or changes in CDK4/6i regimens. 5) Compare CDK4/6i response profiles across the three CDK 4/6i among different patients and within the same patients if CDK4/6i is changed throughout treatment course. 6) Correlate TKa levels with tumor marker levels. 7) Assess plasma concentrations of CDK4/6i in patients with suboptimal TKa levels. Statistical methods: For binary endpoints measured at a given time point, we will estimate the two-sided 95% exact CI using Clopper-Pearson method. With a sample size of 120 patients, assuming 20% drop out rate, we predict that about 15% of patients will have suboptimal CDK4/6i response, estimating a 95% CI of 0.086-0.235 in the first cycle. Comparisons between paired outcomes will be completed using the paired t-test or Wilcoxon signed-rank test for continuous parameters of interest, or McNemar’s Chi-square test for categorical parameters of interest. Time to event endpoints will be estimated using Kaplan-Meier method. Present accrual and target accrual: This trial has just been activated. Target accrual is 120 patients. Contact information for people with a specific interest in the trial: Mariya.Rozenblit@yale.edu Citation Format: Mariya Rozenblit, Adriana Kahn, Guannan Gong, Amy Williams, Lajos Pusztai. Use of DiviTum®TKa as a biomarker assay for CDK4/6 inhibitor medication compliance and drug-drug interaction assessment in ER/PR positive metastatic breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-18-11.

Notch2 signaling instructs TLR-responsive programs in B cells

Abstract The efficiency with which B cells respond to activation signals varies depending on the subset. Whereas marginal zone (MZ) B cells exhibit rapid activation kinetics following stimulation, follicular (FO) B cells adopt delayed effector programs. Further, MZ B cells uniquely exhibit readiness for the plasma cell (PC) fate, differentiating in mere hours independent of mitosis or T cell help. Some of the many ways MZ B cells achieve poised responsiveness is through sustained Myc levels and mTORC1 activity. MZ B cells uniquely require constitutive signaling through the transmembrane receptor Notch2, but whether this signal underlies the functionally poised nature of these cells is not understood. To examine the consequences of forced Notch2 on B cells with no Notch requirement, we co-cultured stimulated FO B cells on Notch2 ligand-expressing OP9 stromal cells. Notch2 signals modified the response to TLR 3 and 4 stimuli by amplifying the time to first division and the propensity toward PC differentiation altogether. Intriguingly, TLR3 responsiveness in B cells appeared to be entirely Notch2-driven and dependent on the signaling adapter Bruton’s Tyrosine Kinase. Employing a published mathematical model for dividing lymphocytes, we found Notch2 signals significantly augmented the division rate and division destiny of activated B cells. Together, these observations demonstrate a novel role for Notch2 in instructing B cell response programs to TLR signals and their effector outcomes.

A Case Study on Design of Sewage Treatment Plants and Methods of Improvement

Abstract: Sewage treatment plants are vital infrastructures that safeguard public health and protect the environment by treating and purifying wastewater. The design of these plants plays a crucial role in ensuring efficient and effective treatment processes. This research paper focuses on the design principles and considerations for sewage treatment plants and explores various methods for improving existing facilities. By implementing innovative design strategies and adopting optimization techniques, wastewater treatment plants can enhance their performance, increase treatment capacity, and achieve higher levels of environmental sustainability.

Most Probable Dynamics of the Single-Species with Allee Effect under Jump-Diffusion Noise

We explore the most probable phase portrait (MPPP) of a stochastic single-species model incorporating the Allee effect by utilizing the nonlocal Fokker–Planck equation (FPE). This stochastic model incorporates both non-Gaussian and Gaussian noise sources. It has three fixed points in the deterministic case. One is the unstable state, which lies between the two stable equilibria. Our primary focus is on elucidating the transition pathways from extinction to the upper stable state in this single-species model, particularly under the influence of jump-diffusion noise. This helps us to study the biological behavior of species. The identification of the most probable path relies on solving the nonlocal FPE tailored to the population dynamics of the single-species model. This enables us to pinpoint the corresponding maximum possible stable equilibrium state. Additionally, we derive the Onsager–Machlup function for the stochastic model and employ it to determine the corresponding most probable paths. Numerical simulations manifest three key insights: (i) when non-Gaussian noise is present in the system, the peak of the stationary density function aligns with the most probable stable equilibrium state; (ii) if the initial value rises from extinction to the upper stable state, then the most probable trajectory converges towards the maximally probable equilibrium state, situated approximately between 9 and 10; and (iii) the most probable paths exhibit a rapid ascent towards the stable state, then maintain a sustained near-constant level, gradually approaching the upper stable equilibrium as time goes on. These numerical findings pave the way for further experimental investigations aiming to deepen our comprehension of dynamical systems within the context of biological modeling.

Analysis of the Current Situation of Sustainable Development of the Yangtze River Economic Belt based on SDGs

This paper evaluates the level of sustainable development of 11 provinces and cities in the Yangtze River Economic Belt from 2011 to 2020, and analyzes its spatial and temporal differentiation and trend evolution characteristics. This paper adopts the coupling coordination model based on CRITIC-entropy weight combination weight, spatial autocorrelation model, spatial Markov chain and other methods, based on the measurement indicators of the United Nations Sustainable Development Goals, and conducts a comprehensive evaluation from four aspects: innovation-driven, welfare guarantee, resources and environment, and economic development. The research results show that the sustainable development level of the Yangtze River Economic Belt presents the characteristics of continuous improvement, regional difference, hierarchical leap, spatial dependence, spillover effect, etc. According to the research findings, this paper puts forward some suggestions, such as strengthening regional coordinated development, optimizing spatial planning and governance, coordinating policies and work, promoting rule of law and innovation, etc., aiming to promote the high-quality development of the Yangtze River Economic Belt, achieve the coordinated development of economy, society and ecology, and localize the SDGs. This paper’s research has important theoretical significance and practical value for deeply understanding the current situation and problems of sustainable development of the Yangtze River Economic Belt.

A cyclic and holistic methodology to exploit the Supply Chain Digital Twin concept towards a more resilient and sustainable future

Recent major disruptions such as natural disasters, geopolitical tensions, Covid-19 pandemic have led supply chain managers to rethink strategies for achieving significant levels of sustainability and resilience. At the same time, new digital technologies are offering significant opportunities to increase company performance, while maintaining a high level of customer service. In this challenging context, the Supply Chain Digital Twin (SCDT) represents an emerging and promising concept, which deserves to be explored. In this paper, a holistic and cyclical methodology, based on simulation, is proposed to enable and exploit the SCDT Paradigm, with the main aim to increase sustainability and resilience of the chains. The proposed methodology is successfully tested and validated on a real case study in the agri-food sector, through the use of the anyLogistix software. The results return valuable information on the level of resilience of the supply chain in the face of any considered disruption and provide useful managerial insights on the actions to be taken to improve some performance indicators.

Study of digital twins as the driving force of digital transformation and achieving the goals of sustainable development

The object of research is the use of Digital Twin (DT) technology in the manufacturing sector and its impact on sustainability. The scientific problem addressed is the identification and quantification of the potential advantages and challenges associated with the adoption of DTs at operational, tactical, and strategic levels, particularly in the context of sustainable development. The paper investigates how DTs can redefine the measurement of sustainable development and diversify implementation within manufacturing infrastructure. The study concludes that DTs are a sophisticated technology that enables manufacturers to create precise virtual replicas of physical products or processes. This helps in optimizing resource utilization, reducing energy consumption, and minimizing waste, thereby promoting sustainability. Main DT clusters and common uses highlighted by the authors demonstrate huge impact on energy efficiency, waste management, sustainable design, logistics emissions reduction, water conservation, and stakeholder engagement. It is proved that DTs simulate and analyze complex systems, enabling the evaluation and improvement of sustainability levels. The paper presents promising practical examples of DT’s use, such as optimizing warehouse management in Ukraine, automating robots for increased efficiency, and aiding in the post-war reconstruction of cities with a focus on environmental friendliness and accessible infrastructure. The research specifically focuses on the top five tech giants and their use of DTs to drive sustainability. Additionally, the findings project substantial market growth potential for DTs in multiple sectors, emphasizing the urgent need for industries to integrate DTs into their sustainability strategies.

The Relationship Between Sustainable Consciousness and Environmental Awareness Sensitivity Level in the Context of Sustainable Development

In light of the changes and developments that have gained momentum in the 21st century, it is emphasized that the development process should be made sustainable and functional in today's rapidly globalizing societies. As a part of social life, it is important for individuals to adapt to sustainability. Within the scope of sustainable development goals, the issue of a sustainable environment for sustainable societies also comes to the fore. In this context, qualified education is emphasized for individuals and societies with sustainable awareness and awareness of environmental sensitivity. As a matter of fact, it is noteworthy that it is necessary to determine the levels of sustainable awareness and environmental awareness for sustainable development of teacher candidates who will be the educational veterans of the future. This study aims to examine the relationship between teacher candidates' sustainable awareness and environmental awareness levels for sustainable development. The research process was carried out with the relational screening model, which is one of the quantitative research methods, in accordance with the purpose and content of the study. In this study, the ‘Sustainable Consciousness Scale' prepared by Michalos et al. (2012), adapted by Yüksel &amp; Yıldız (2019), and the ’Environmental Sensitivity Scale’ prepared by Yeşil &amp; Turan (2020) were used. The data obtained were analyzed with the statistical analysis program. According to the descriptive statistics, it was seen that none of the data showed normal distribution, and group comparisons were made with the Mann-Whitney U test and Kruskal Wallis tests. As a result, it is understood that sustainable awareness and environmental awareness awareness levels for sustainable development are interrelated and reflected in the opinions of teacher candidates. It is thought that sustainable awareness and environmental awareness can be implemented by designing purposeful activities in schools to encourage the transformation of sustainable awareness and environmental awareness levels into behavior in individual and social life and that sustainable awareness and environmental awareness can be discussed in different education forums to support sustainable society.

PASC (Post Acute Sequelae of COVID-19) is associated with decreased neutralizing antibody titers in both biological sexes and increased ANG-2 and GM-CSF in females.

Post-acute sequelae of COVID-19 (PASC) or the continuation of COVID-19 (Coronavirus disease 2019) symptoms past 12weeks may affect as many as 30% of people recovering from a SARS-CoV-2 (severe acute respiratory coronavirus 2) infection. The mechanisms regulating the development of PASC are currently not known; however, hypotheses include virus reservoirs, pre-existing conditions, microblood clots, immune dysregulation, as well as poor antibody responses. Importantly, virus neutralizing antibodies are essential for COVID-19 recovery and protection from reinfection but there is currently limited information on these immune regulators and associated cytokines in PASC patients. Understanding the key drivers of general and specific symptoms associated with Long COVID and the presence of virus neutralizing antibodies in PASC will aid in the development of therapeutics, diagnostics, and vaccines which currently do not exist. We designed a cross-sectional study to investigate systemic antibody and cytokine responses during COVID-19 recovery and PASC. In total, 195 participants were recruited in one of four groups: (1) Those who never had COVID-19 (No COVID); (2) Those in acute COVID-19 recovery (Acute Recovery) (4-12weeks post infection); (3) Those who recovered from COVID-19 (Recovered) (+ 12weeks from infection); and (4) those who had PASC (PASC) (+ 12weeks from infection). Participants completed a questionnaire on health history, sex, gender, demographics, experiences with COVID-19 acute and COVID-19 recovery/continuing symptoms. Serum samples collected were evaluated for antibody binding to viral proteins, virus neutralizing antibody titers, and serum cytokine levels using Ella SimplePlex Immunoassay™ panels. We found participants with PASC reported more pre-existing conditions (e.g. such as hypertension, asthma, and obesity), and PASC symptoms (e.g. fatigue, brain fog, headaches, and shortness of breath) following COVID-19 than COVID-19 Recovered individuals. Importantly, we found PASC individuals to have significantly decreased levels of neutralizing antibodies toward both SARS-CoV-2 and the Omicron BA.1 variant. Sex analysis indicated that female PASC study participants had sustained antibody levels as well as levels of the inflammatory cytokines GM-CSF and ANG-2 over time following COVID-19. Our study reports people experiencing PASC had lower levels of virus neutralizing antibodies; however, the results are limited by the collection time post-COVID-19 and post-vaccination. Moreover, we found females experiencing PASC had sustained levels of GM-CSF and ANG-2. With lower levels of virus neutralizing antibodies, this data suggests that PASC individuals not only have had a suboptimal antibody response during acute SARS-CoV-2 infection but may also have increased susceptibility to subsequent infections which may exacerbate or prolong current PASC illnesses. We also provide evidence suggesting GM-CSF and ANG-2 to play a role in the sex-bias of PASC. Taken together, our findings maybe important for understanding immune molecular drivers of PASC and PASC subgroups.