Multifaceted Assessment Research Articles

Preserving the Past: A Dynamic Analysis of Heritage Tourism and Land Conservation in Mamluk Cairo

Historic urban cities face increasing pressure from tourism, necessitating sophisticated approaches to visitor management that protect both heritage values and local communities. The current study develops new sustainable metrics—sustainable visitor capacity (SVC) and Sustainable Visitation Index (SVI)—to provide a multifaceted assessment of heritage destination management beyond simple visitor volume calculations. The SVC considers operating hours, site capacity, and walking time, while the SVI holistically evaluates time efficiency, spatial distribution, and physical comfort. Applying these metrics to seven routes through the historic Mamluk monuments revealed significant variations in sustainability performance, with SVI scores ranging from 48.9 at Al-Ṣalῑba/Al-Sayyida Zaynab Streets to 92.8 at Northern Al-Mu’izz Street. The findings demonstrate that while the recommended daily visitor capacity ranges from 1286 to 2182 visitors across different routes, actual visitation frequently exceeds these thresholds, particularly in commercial zones. Geographic analyses and on-site studies identified the integration of tourist activities with commercial, residential, and religious uses as a critical factor contributing to overcrowding, especially evident in areas like Al-Ṣalῑba Street, where low SVI scores reflect challenges with unorganized markets and local congestion. The study offers site-specific recommendations for heritage managers, focusing on dynamic visitor management systems and zoning strategies that consider the dual function of these historic corridors as both tourist attractions and vital local thoroughfares. This research provides heritage managers with practical tools to quantify and enhance the sustainability of visitor experiences while preserving site integrity within complex urban heritage contexts.

How to identify cystic lateral neck mass from CUP-like lesions: a diagnostic challenge

A cystic lateral neck mass in adults represents a major challenge, as it can be difficult to distinguish between benign and malignant lesions. The incidence of carcinoma in initially benign treated neck cysts is estimated to be as high as 24%. The objective of this study was to ascertain the malignancy rate of cystic cervical masses and to provide a differentiation of cervical metastases in comparison to benign cervical cysts, utilising current guidelines.Between 2013 and 2023, a total of 155 patients with a suspected diagnosis of lateral neck cyst were recruited at the Department of Otorhinolaryngology at our University Hospital. All patients underwent cyst removal, either alone or in conjunction with panendoscopy.A histologically confirmed ipsilateral lymph node metastasis was identified in 21.9% of patients. The mean age of patients with malignant neck masses was significantly higher than that of patients with benign neck masses (64.0±12.8 versus 41.0±15.8; p<0.001). The probability of malignancy was low in patients younger than 54 years (11%), but increased markedly to 80% in the age group of 60-69 years. The clinical sensitivity for initial suspicion of a benign neck cyst was 60.3%, while the specificity was 48.7%.An individualized approach is necessary for the early diagnosis and treatment of unilateral neck cysts, as this condition requires a multifaceted assessment based on the patient's medical history, clinical findings, imaging, and clinical expertise. We advise that patients over the age of 40 years undergo image morphological staging, a "no-touch" panendoscopy, and histological confirmation.

Multifaceted concussion assessment battery: sensitivity at the expense of specificity?

ABSTRACT Objectives A multifaceted assessment battery is recommended for testing suspected concussed athletes; however, the individual tests have limitations and potentially may lead to false positive outcomes. Therefore, the purpose of this study was to psychometrically evaluate concussion assessment tools used for intercollegiate student-athletes, with a focus on the time interval between baseline and subsequent assessments. Methods 92 collegiate student-athletes matched between concussion (N = 46. F32/M14) and non-concussion (N = 46, 32F/14 M) completed the standard assessment of concussion, balance error scoring system, symptom questionnaire, and computerized neurocognitive tests at baseline and acutely (<48 hours) following a concussion. Test outcomes were compared between time points with three approaches, 1) vs baseline, 2) reliable change scores (RCI), and 3) vs American College of Rehabilitation Medicine (ACRM). Concussion assessment sensitivity, specificity, likelihood ratios, predictive values, and diagnostic odds ratio were calculated. A receiver operator characteristic compared area under the curve (AUC) for the overall battery as well as between academic years. Results The sensitivity of the battery was high (78.3 – 95.7%), but specificity was low to moderate (6.5 – 52.2%) with comparison to the RCI typically performing best. The three approaches yielded AUC values between 0.51 – 0.63 which is below the discriminatory threshold (0.70) with comparison to RCI performing best. By academic year, Juniors was the only year in which the ROC exceeded the threshold (0.75). The number of tests failed did not improve any AUC values (0.51 – 0.69) to exceed the threshold. Conclusions The outcomes of this study support the premise that concussion must be evaluated using a comprehensive clinical examination including a variety of assessments to evaluate each clinical domain. Clinicians need to recognize that the multifaceted assessment battery has high sensitivity, but the overall psychometrics do not exceed the threshold for group discrimination and caution must be used in their interpretation.

Unveiling multifaceted bioactivity assessment of Psidium guajava and Azadirachta indica leaves extract as a potential natural tyrosinase enzyme inhibitors

Unveiling multifaceted bioactivity assessment of Psidium guajava and Azadirachta indica leaves extract as a potential natural tyrosinase enzyme inhibitors

Nurses' Beliefs About Pain Assessment in Dementia: A Qualitative Study Informed by the Theory of Planned Behaviour.

To explore registered nurses' beliefs regarding pain assessment in people living with dementia. A descriptive exploratory qualitative study informed by the Theory of Planned Behaviour. Online semi-structured in-depth interviews were conducted from January to April 2023 with a purposive sample of 15 registered nurses caring for people with dementia. Following transcription, data were analysed using direct content analysis. Registered nurses believe pain assessment improves the well-being of people with dementia and informs and evaluates practice. However, there is a possibility of misdiagnosing pain as agitation or behavioural problems, leading to inaccurate pain management. Interpersonal factors, such as registered nurses' knowledge and experience, beliefs and motivation to improve care provision, were the primary facilitators of pain assessment. Physical and behavioural dimensions of the pain of the dementia syndrome were the most reported barriers to pain assessment. Registered nurses reported that multidisciplinary team members expect them to do pain assessments. Most did not experience disapproval when performing pain assessments. Registered nurses hold beliefs about pain assessment benefits, consequences, enablers, barriers, approvals and disapprovals regarding dementia. The findings could inform interventions to enhance pain assessment practices. Policymakers should provide education opportunities for registered nurses to improve their knowledge, skills and beliefs about pain assessment in dementia. Future research should develop and implement multidisciplinary, multifaceted pain assessment protocols to enhance the accuracy of pain assessment practices. Pain is underassessed in dementia, and this could stem from registered nurses' beliefs about pain assessment in dementia. The findings could inform interventions to enhance pain assessment beliefs and practices. This study adhered to the COREQ criteria. Registered nurses caring for people living with dementia participated as interview respondents.

Multifaceted Assessment of Agricultural Extension in Conflict Affected Areas of Mindanao, Philippines

Agricultural extension in conflict affected areas has received limited research attention. Yet agricultural extension undertaken within a group–based facilitation framework can have many benefits via livelihood improvement, human and social capital development. In this paper, an extension model adapted for conflict affected areas is briefly described and then assessed from multiple viewpoints – physical, economic, lifestyle, social capital and environmental. This was done in two case study sites in conflict affected areas of Mindanao, Philippines. Major positive physical, economic and lifestyle changes were revealed at both case study sites, as were changes in knowledge, attitude, skills, and aspirations and social capital. Some positive environmental aspects were also noted. Income and savings were up 64 and 108 percent respectively, with those income changes being reflected in additional expenditures on basic items such as food clothing and education. Knowledge, attitudes skills and aspirations (which can be regarded as intermediate steps towards livelihood improvement) all increased substantially. Various social capital indicators were judged to have improved. From an environmental perspective, there were decreases in charcoal production and slash and burn activity. Tree planting and soil fertility increased. Most of these assessment parameters, but especially social capital with its implication for trust and human interaction, are relevant to peace building. With the passage of the Bangsamoro Organic Law, there is expected to be a strong increase within the Philippines and internationally in funding the promotion of agricultural livelihood activities in Mindanao. The multifaced assessment of benefits is somewhat unique and the resulting quantification of the benefits demonstrates that additional funding and more diverse applications could be warranted.

The ways of communication for children with autism spectrum disorder

Deficits in social cognition underlie many of the profound challenges individuals with autism spectrum disorder face interacting with and understanding others. This study aimed to evaluate abilities predicting behavioral, verbal, and emotional responses during simulated social scenarios in 42 autistic children. Additionally, communication patterns were analyzed across solitary, peer, and group settings. A multifaceted assessment battery including the “prognostic stories” technique, expert observational ratings, cultural congruence metrics, and activity mapping provided insights into participants’ capacity forecasting actions, statements, and feelings in interpersonal situations. Results revealed marked variability across skill domains, with greatest impairments anticipating emotions. Communication quality and self-regulation strongly correlated with predictive accuracy. Cluster analysis indicated four distinct functional profiles (“proactive planners”, “regulatory navigators”, “quiet observers”, and “balanced responders”) highlighting heterogeneous strengths warranting support. Despite challenges inferring psychological states, personalized interventions targeting highly correlated skill deficits offer optimal social adaptation. Findings reiterate calls for balanced approaches recognizing autistic diversity while compassionately addressing barriers to inclusion. With acceptance and opportunity, individuals across the spectrum have much to contribute. Limitations include sample size and gender imbalance. Follow-up longitudinal tracking is warranted.

Dynamic CT myocardial perfusion combined with coronary CT angiography for detecting hemodynamical significance of coronary artery stenosis: a comparative study

This study aimed to evaluate the diagnostic performance of combined dynamic stress CT myocardial perfusion imaging (CTP) and coronary CT angiography (CTA) alongside CT-derived fractional flow reserve (CT-FFR) in detecting hemodynamically significant coronary artery disease (CAD). A total of 33 patients (86 vessels) who underwent coronary CTA, dynamic stress CTP, and coronary angiography were included. Vessels exhibiting 30–90% stenosis were subjected to FFR analysis based on coronary angiography (Angio-FFR). Hemodynamic significance, determined by Angio-FFR ≤ 0.80, and imaging findings were evaluated. The evaluation involved a comparison between the combined use of coronary CTA, CTP and CT-FFR, versus the sole use of coronary CTA. Out of 86 coronary vessels, 17 (19.8%) exhibited hemodynamically significant stenosis. The sensitivity, specificity, and accuracy of coronary CTA for detecting ischemia were 94.12%, 34.78%, and 46.51%, respectively. Adding CTP to CTA improved specificity to 88.41%, and accuracy to 87.21%, respectively. The area under the curve (AUC) for the discrimination of functional significant stenosis was 0.798 when using CTA alone, and for CTA plus CTP, it reached 0.910. Furthermore, the combination of CTA, CTP and CT-FFR, showed accuracy of 88.37%, sensitivity of 88.24% and specificity of 88.41% with the AUC of 0.946. The integration of dynamic CTP with CTA significantly enhances the diagnostic accuracy for identifying patients with hemodynamically significant CAD, compared to the use of CTA alone. This study underscores the value of combining CTP, CT-FFR, and CTA in improving diagnostic precision for CAD. The combination of CTP, CT-FFR and CTA offers a multifaceted assessment for patients with CAD by simultaneously providing anatomical detail, functional analysis, and physiological quantification, which facilitating rapid, accurate, and optimal clinical decision-making and significantly enhances patient management.

Persistent postsurgical pain in hip fracture patients. A prospective longitudinal study with multifaceted assessment.

Some patients with postoperative hip fractures (HF) experience persistent severe pain. In this longitudinal study, we examined the characteristics of patients with persistent pain after HF surgery, and the factors influencing pain intensity. We conducted an 8-week prospective study in patients with postsurgical HF. Verbal rating scale (VRS), and multifaceted outcomes, including pressure pain threshold (PPT) (affected site and biceps), were evaluated at 2, 4, and 8 weeks postoperatively. Patients were divided into mild (VRS ≤1) and severe (VRS ≥2) groups according to pain intensity at 8 weeks postoperatively. Statistical analyses were performed using two-way ANOVA and decision-tree analysis. VRS, PPT at the affected site and biceps, and physical activity (PA) time were significantly lower in the severe group than in the mild group 2 weeks postoperatively. VRS, PPT at the affected site, pain catastrophizing (PCS)-13, and the Tampa Scale for Kineshiophobia (TSK)-11 did not show significant improvements in the severe group. Decision tree analysis revealed that the VRS and PCS-13 at 4 weeks, PA time at 2 weeks, and TSK-11 change between 4 weeks and 2 weeks were factors influencing severe pain intensity at 8 weeks after HF surgery. Persistent severe pain after HF surgery was characterised by high peripheral and central sensitisation, pain catastrophizing, and reduced PA at 2 weeks after HF surgery. In addition, early pain intensity, pain catastrophizing, and PA may be hierarchically influential factors for persistent pain 8 weeks after HF surgery.

A Multifaceted Assessment of the Consultation Liaison Psychiatry Service Within a Regional Australian Hospital.

Medical and mental health conditions have a reciprocal relationship, with each impacting the other. Consultation-liaison psychiatry (CLP) is a sub-speciality that addresses psychiatric comorbidities in the general hospital system and positively impacts hospital resources through its service aspects of 'consultation' and 'liaison'. This multi-faceted evaluation aims to describe and evaluate the characteristics of a regional CLP service. Retrospective evaluation of all referrals accepted by CLP between May 2021 and 2022 were reviewed through the hospital's electronic records. An evaluation tool was designed to assess multiple aspects of care, including the source of referrals, the reasons for referral, patient demographics, how quickly the patient was seen, information on their mental health, and the details and timeframe of CLP involvement. There were 147 patients included in this study. Doctors were the primary referrers (92%). A total of 94% of patients were reviewed within 24 h of the referral being received. Referral reasons were balanced across diagnostic clarification/review, medication review, and risk review. A large proportion of referrals were aged > 60 years. There was a large proportion of patients who lived rurally, requiring hospital transfer. CLP involvement was primarily required to provide a diagnosis (91% of patients) and provide pharmacological management advice (88%). The CLP service currently operates with limited resources, and without additional support, the sustainability of the service will become increasingly challenged due to population ageing. It is essential that we address this issue to ensure that the community's needs are met effectively.

Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorithm Development and Validation Study.

While speech analysis holds promise for mental health assessment, research often focuses on single symptoms, despite symptom co-occurrences and interactions. In addition, predictive models in mental health do not properly assess the limitations of speech-based systems, such as uncertainty, or fairness for a safe clinical deployment. We investigated the predictive potential of mobile-collected speech data for detecting and estimating depression, anxiety, fatigue, and insomnia, focusing on other factors than mere accuracy, in the general population. We included 865 healthy adults and recorded their answers regarding their perceived mental and sleep states. We asked how they felt and if they had slept well lately. Clinically validated questionnaires measuring depression, anxiety, insomnia, and fatigue severity were also used. We developed a novel speech and machine learning pipeline involving voice activity detection, feature extraction, and model training. We automatically modeled speech with pretrained deep learning models that were pretrained on a large, open, and free database, and we selected the best one on the validation set. Based on the best speech modeling approach, clinical threshold detection, individual score prediction, model uncertainty estimation, and performance fairness across demographics (age, sex, and education) were evaluated. We used a train-validation-test split for all evaluations: to develop our models, select the best ones, and assess the generalizability of held-out data. The best model was Whisper M with a max pooling and oversampling method. Our methods achieved good detection performance for all symptoms, depression (Patient Health Questionnaire-9: area under the curve [AUC]=0.76; F1-score=0.49 and Beck Depression Inventory: AUC=0.78; F1-score=0.65), anxiety (Generalized Anxiety Disorder 7-item scale: AUC=0.77; F1-score=0.50), insomnia (Athens Insomnia Scale: AUC=0.73; F1-score=0.62), and fatigue (Multidimensional Fatigue Inventory total score: AUC=0.68; F1-score=0.88). The system performed well when it needed to abstain from making predictions, as demonstrated by low abstention rates in depression detection with the Beck Depression Inventory and fatigue, with risk-coverage AUCs below 0.4. Individual symptom scores were accurately predicted (correlations were all significant with Pearson strengths between 0.31 and 0.49). Fairness analysis revealed that models were consistent for sex (average disparity ratio [DR] 0.86, SD 0.13), to a lesser extent for education level (average DR 0.47, SD 0.30), and worse for age groups (average DR 0.33, SD 0.30). This study demonstrates the potential of speech-based systems for multifaceted mental health assessment in the general population, not only for detecting clinical thresholds but also for estimating their severity. Addressing fairness and incorporating uncertainty estimation with selective classification are key contributions that can enhance the clinical utility and responsible implementation of such systems.

Probiotic and Postbiotic Potentials of Enterococcus faecalis EF-2001: A Safety Assessment.

Probiotics, which are live microorganisms that, when given in sufficient quantities, promote the host's health, have drawn a lot of interest for their ability to enhance gut health. Enterococcus faecalis, a member of the human gut microbiota, has shown promise as a probiotic candidate due to its functional attributes. However, safety concerns associated with certain strains warrant comprehensive evaluation before therapeutic application. In this study, E. faecalis EF-2001, originally isolated from fecal samples of a healthy human infant, was subjected to a multi-faceted assessment for its safety and probiotic potential. In silico analysis, CAZyme, biosynthetic, and stress-responsive proteins were identified. The genome lacked biogenic amine genes but contained some essential amino acid and vitamin synthetic genes, and carbohydrate-related enzymes essential for probiotic properties. The negligible difference of 0.03% between the 1st and 25th generations indicates that the genetic information of the E. faecalis EF-2001 genome remained stable. The live E. faecalis EF-2001 (E. faecalis EF-2001L) demonstrated low or no virulence potential, minimal D-Lactate production, and susceptibility to most antibiotics except some aminoglycosides. No bile salt deconjugation or biogenic amine production was observed in an in vitro assay. Hemolytic activity assessment showed a β-hemolytic pattern, indicating no red blood cell lysis. Furthermore, the EF-2001L did not produce gelatinase and tolerated simulated gastric and intestinal fluids in an in vitro study. Similarly, heat-killed E. faecalis EF-2001 (E. faecalis EF-2001HK) exhibits tolerance in both acid and base conditions in vitro. Further, no cytotoxicity of postbiotic EF-2001HK was observed in human colorectal adenocarcinoma HT-29 cells. These potential properties suggest that probiotic and postbiotic E. faecalis EF-2001 could be considered safe and retain metabolic activity suitable for human consumption.

The future of clean energy: Agricultural residues as a bioethanol source and its ecological impacts in Africa

This study presents a comprehensive analysis of Africa's potential to produce bioethanol from agricultural residues and its environmental impact. The relentless consumption of fossil fuels and associated environmental challenges necessitate a shift toward sustainable energy sources, with bioethanol emerging as a promising alternative. This study evaluates the capacity for bioethanol generation from agricultural residues in Africa, considering its land, water, and carbon footprints. Based on data from 85 primary agricultural residues across Africa, approximately 102.256 Gt of fresh agricultural residue is estimated to be available in Africa, translating to approximately 62.117 Gt of dry-weight material. This significant capacity indicates a substantial potential for bioethanol production in Africa, corresponding to a net output of 207.127 EJ. The coproduction potential of bioethanol and electricity are also highlighted, with electricity accounting for 8.016 % of the total net bioethanol energy production. However, the environmental impact of bioethanol production varies across African nations, suggesting the need for optimization and sustainable practices. Additionally, the study discusses the challenges encountered in the bioethanol sector, including the sustainability of production, emission reduction, technological and financial constraints, and the broader context of biomass usage. In conclusion, although bioethanol production from agricultural residues is a promising alternative for Africa's energy sector, it should be realized only after a multifaceted assessment involving technological, economic, policy, and environmental considerations.

Anlotinib treatment for rapidly progressing pediatric embryonal rhabdomyosarcoma in the maxillary gingiva: a case report

BackgroundEmbryonal rhabdomyosarcoma (ERMS) is a highly aggressive form of soft-tissue sarcoma that predominantly affects children. Due to limited benefits and resistance to therapy, there is an unmet need to explore alternative therapeutic strategies.Case presentationIn this report, we present a rare case of pediatric ERMS located on the right side of the maxillary gingiva. A composite reference guide integrating clinical, radiographic, and histopathologic findings was used for a definitive diagnosis. Targeted next-generation sequencing of tumor biopsy was performed to identify genetic alterations. A 12-year-old female was admitted to the Pediatric Intensive Care Unit (PICU) and underwent a tracheotomy to relieve asphyxiation caused by a 5.5 cm diameter mass compressing the tongue root and pharyngeal cavity. Hematoxylin and eosin staining revealed a hybrid morphology characterized by clusters of round and spindle cells. Further immunohistochemistry assays indicated positive immunoreactivity for desmin, myogenin, and MyoD1. Various genetic alterations were identified, including mutations in GNAS, HRAS, LRP1B, amplification of MDM2 and IGF1R, and two novel IGF1R fusions. Negative PAX-FOXO1 fusion status supported the clinical diagnosis of ERMS. Initial treatment involved standard chemotherapy; however, the tumor persisted in its growth, reaching a maximum volume of 12 cm × 6 cm × 4 cm by the completion of treatment. Subsequent oral administration of anlotinib yielded a significant antitumor response, characterized by substantial tumor necrosis and size reduction. Following the ligation of the tumor pedicle and its removal, the patient developed a stabilized condition and was successfully discharged from PICU.ConclusionsOur study highlights the importance of accurate diagnosis established on multifaceted assessment for the effective treatment of ERMS. We present compelling evidence supporting the clinical use of anlotinib as a promising treatment strategy for pediatric ERMS patients, especially for those resistant to conventional chemotherapy.

Multifaceted Evaluation of Inhibitors of Anti-Apoptotic Proteins in Head and Neck Cancer: Insights from In Vitro, In Vivo, and Clinical Studies (Review)

This paper presents a multifaceted assessment of inhibitors of anti-apoptotic proteins (IAPs) in the context of head and neck squamous cell carcinoma (HNSCC). The article discusses the results of in vitro, in vivo, and clinical studies, highlighting the significance of IAPs in the resistance of cancer cells to apoptosis, which is a key factor hindering effective treatment. The main apoptosis pathways, including the intrinsic and extrinsic pathways, and the role of IAPs in their regulation, are presented. The study’s findings suggest that targeting IAPs with novel therapies may offer clinical benefits in the treatment of advanced HNSCC, especially in cases resistant to conventional treatment methods. These conclusions underscore the need for further research to develop more effective and safer therapeutic strategies.

New ultrasound techniques for acute kidney injury diagnostics.

Acute kidney injury (AKI) is common in critical illness and associated with adverse outcomes. Imaging, specifically ultrasound, is increasingly finding a role in AKI diagnostics. This includes the assessment of arterial and venous blood flow, tissue perfusion and the condition of the renal parenchyma. This review provides an update on ultrasound techniques and their application to AKI in critical care. Advances have been made in arterial and venous Doppler, contrast enhanced ultrasound (CEUS) and shear wave elastography (SWE). Doppler and CEUS techniques offer benefit in terms of AKI diagnosis and in identifying patients at risk. In addition, through the demonstration of altered flow or impaired perfusion, these techniques provide information on the pathophysiology of AKI, offering potential for targeted intervention. Renal SWE, an emerging technique, assesses tissue stiffness potentially allowing exploration of the role of venous congestion in the pathogenesis of AKI. Ultrasound continues to demonstrate great promise in the diagnosis and management of AKI, offering a noninvasive means to diagnose perfusion deficits and assess response to treatments. Further research, with standardization of techniques, may allow multifaceted renal ultrasound assessment in the critically ill for more accurate diagnosis and tailored intervention in AKI.

Rodzice i nauczyciele w procesie oceny funkcjonalnej - na przykładzie oceny umiejętności adaptacyjnych dzieci i młodzieży z uszkodzeniem słuchu

Introduction: Functional assessment is an important factor for audiological and medical evaluation of children and adolescents with hearing impairment. Research Aim: The purpose of the research is to present the new position of teachers and parents in the functional assessment process on the basis of the procedure and results of the study of adaptive behavior of 70 children and adolescents with prelingual hearing impairment. Method: The research was done on the basis of observation of children and adolescents by their parents and teachers, using the ABAS-3 tool. Results: Comparison of the results of the parents' and teachers' observations (especially statistically significant differences in these observations) indicates the need for multifaceted assessment of student functioning by different people, both parents and teachers. Conclusions: The results provide important recommendations for analyzing the sources of differences in assessing the functioning of children and adolescents and for preparing parents and teachers to participate in the functional assessment process.

Assessing the Sustainability of Diverse Biofuels through Life Cycle and Techno-Economic Analysis

The global shift towards sustainable energy sources has spurred extensive exploration of biofuels as promising substitutes for traditional fossil fuels. Yet, pinpointing the optimal biofuel necessitates a nuanced evaluation across environmental, economic, and technological fronts. This study undertakes a comparative analysis of three prominent biofuels—biodiesel, bioethanol, and biogas—employing a multi-faceted assessment framework integrating both Life Cycle Assessment (LCA) and Techno-Economic Assessment (TEA). Through a comprehensive examination encompassing environmental impacts, economic viability, and operational efficacy, this research offers insights into the strengths and limitations inherent in each biofuel variant. By shedding light on the sustainability prospects of these biofuels across diverse applications, the findings aim to furnish stakeholders with informed guidance for selecting the most fitting and sustainable biofuel options.

ECONOMIC CONSEQUENCES OF WAR IN UKRAINE: A COMPREHENSIVE ANALYSIS

The armed conflict that erupted in Ukraine has had profound economic ramifications, not only for the country itself but also for the wider region. This paper aims to provide a comprehensive analysis of the economic consequences of the war in Ukraine, exploring its impact on various sectors and long-term development prospects. Drawing upon a range of primary and secondary data sources, the study presents a multifaceted assessment of the economic effects, considering both immediate and long-term implications. The paper examines the direct costs of the conflict, including the destruction of infrastructure, loss of human capital, and disruption of production and trade. It investigates the impact on key sectors such as agriculture, manufacturing, energy, and finance, highlighting the challenges faced by businesses and the labor market. It examines the role of external financial assistance and the effectiveness of economic policies implemented during the crisis. Finally, the study concludes by synthesizing the key findings on the economic consequences of the war in Ukraine. These recommendations encompass both short-term measures to address immediate challenges and long-term strategies to foster sustainable economic development and reconciliation. This comprehensive analysis of the economic consequences of the war in Ukraine contributes to the existing literature by providing a nuanced understanding of the multifaceted impacts of the conflict. It offers valuable insights for policymakers, international organizations, and researchers seeking to comprehend and address the economic challenges arising from war-affected regions.

Toward a caring and (re)productive bioeconomy? A feminist analysis of socio-technical innovations and sustainability shortcomings

The bioeconomy is touted as an innovative economic approach to make economies more sustainable through the use of biological resources and processes. In many bioeconomy policies, the expansion of biomass is key and is enabled by new biotechnologies and precision agriculture (PA). We respond to the demand for critical approaches to sustainability and ask: How can feminist (sustainability) research – specifically feminist ecological economics and feminist science and technology studies – help to assess the sustainability shortcomings of socio-technical innovations in the bioeconomy? We have drawn from these two fields to construct a framework of analysis and illustrate its application by looking at the field of PA, which has emblematic socio-technical innovations for biomass production in the agricultural bioeconomy. We illustrate how this analytical framework can reveal manifold sustainability shortcomings linked to these innovations, such as the reinforcement of power relations; the promotion of productivism; the undermining of precaution, sufficiency, and cooperation in technology development; the fetishization of data; and the delegitimization of local knowledge. While the application of the analytical framework is only exemplary, it shows how such an analysis allows for a fine-grained and multifaceted assessment of a specific field of innovations in the bioeconomy and how it can draw attention to structural and systemic sustainability shortcomings which are often overlooked.