bluuebunny/crossref_metadata_2025 huggingface dataset:
Extracellular Vesicles May Predict Response to Atezolizumab Plus Bevacizumab in Patients with Advanced Hepatocellular Carcinoma
Authors: Egerer Mara , Schuch Kathrin , Schöler David , Artusa Fabian , Püngel Tobias , Holtman Theresa Maria , Loosen Sven H. , Demir Münevver , Wree Alexander , Luedde Tom , Tacke Frank , Roderburg Christoph , Mohr Raphael
Published: October 2024

Background and Aims: Treatment with atezolizumab and bevacizumab has been approved as one of the standards of care for patients with advanced hepatocellular carcinoma (HCC). The median overall survival (OS) upon available treatments still remains below 2 years, urgently suggesting better stratification tools to identify ideal candidates for this treatment and potentially allowing personalized approaches. In this study, we evaluated the potential role of extracellular vesicles (EVs) as a novel biomarker in patients receiving atezolizumab and bevacizumab for HCC. Methods: We characterized EVs in 212 longitudinal serum samples from an observational cohort of 53 individuals with advanced HCC, who started therapy with atezolizumab plus bevacizumab at our center between January 2020 and March 2022. Results: In our cohort, the overall efficacy of atezolizumab and bevacizumab was comparable to previously published phase III data. We detected significantly smaller EVs in treatment responders, while enlarged EVs were associated with significantly decreased efficacy of atezolizumab and bevacizumab in terms of OS. A decrease in vesicle size during immunotherapy was related to a longer progression-free survival (PFS). A univariate Cox regression analysis including various clinicopathological parameters (e.g., tumor stage, markers of inflammation, organ dysfunction, or tumor markers) revealed vesicle size as an independent prognostic marker in HCC patients receiving atezolizumab and bevacizumab. Moreover, higher vesicle concentrations and lower zeta potentials were identified as a positive prognostic factor throughout treatment. Conclusions: Distinct EV characteristics such as vesicle size, concentration, and zeta potential represent promising novel biomarkers in patients with advanced HCC receiving atezolizumab and bevacizumab, potentially helping to identify optimal candidates for checkpoint inhibitor-based treatments.
Enzymatic Production of Chitooligosaccharide Using a GH Family 46 Chitosanase from Paenibacillus elgii and Its Antioxidant Activity
Authors: Doan Chien Thang , Tran Thi Ngoc , Nguyen Anh Dzung , Wang San-Lang
Published: October 2024

Chitooligosaccharide (COS), a natural antioxidant, is a hydrolysis product of chitosan created using enzymatic or chemical methods. COS has received considerable attention recently, making its efficient bioproduction of great value. This study investigated the optimal conditions for the enzymatic method using a GH family 46 chitosanase from Paenibacillus elgii TKU051 to prepare COS based on the response surface methodology (RSM). The results showed optimal values for chitosan hydrolysis, such as a pH of 5.5, an incubation temperature of 58.3 °C, an [E]/[S] ratio of 118.494 (U/g), and an incubation time of 6.821 h. Under the optimal conditions, the highest reducing sugar level (per substrate, w/w) of the chitosan hydrolysis process that could be reached was 690.587 mg/g. The composition of the obtained COS was analyzed using the thin-layer chromatography (TLC) method, yielding (GlcN)2 and (GlcN)3 as the products. The ascorbic acid equivalent antioxidant capacity (AEAC) of the obtained COS was found to be 1246 mg/100 g (via a DPPH (2,2-diphenyl-1-picrylhydrazyl) radical-scavenging assay) and 3673 mg/100 g (via an ABTS (2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)) radical-scavenging assay). This green and efficient bioproduction method may possess excellent potential for application in bioactive COS preparation.
Recent Advances in Photocatalytic Degradation of Tetracycline Antibiotics
Authors: Ma Jiale , Chen Yang , Zhou Gang , Ge Haiyu , Liu Hongbo
Published: October 2024

China is a significant global producer and consumer of pesticides and antibiotics, with their excessive use leading to substantial water pollution that poses challenges for subsequent treatment. Photocatalytic degradation, leveraging renewable solar energy, presents an effective approach for decomposing organic pollutants and reducing residual contaminant levels in water bodies. This approach represents one effective way for addressing environmental challenges. This paper classifies representative photocatalytic materials by structural design and degradation principles including MOFs (Metal–Organic Frameworks), metal- and nonmetal-doped, mesoporous material-loaded, carbon quantum dot-modified, floatation-based, and heterojunction photocatalysts. We also discuss research on degradation pathways and reaction mechanisms for antibiotics. Of particular importance are several key factors influencing degradation efficiency, which are summarized within this work. These include the separation and charge transfer rate of catalyst surface carriers, and the wide-spectrum response capabilities of photocatalysts, as well as persulfate activation efficiency. Furthermore, emphasis is placed on the significant role played by intrinsic driving forces such as built-in electric fields within catalytic systems. Moreover, this paper introduces several promising composite-structure photocatalytic technologies from both composite-structure perspectives (e.g., Aerogel-based composites) and composite-method perspectives (e.g., the molecularly imprinted synthesis method). We also discuss their latest development status, along with future prospects, presenting valuable insights for pollutant degradation targets. This work aims to facilitate the design of efficient photocatalytic materials, while providing valuable theoretical references for environmental governance technologies.
Identification of Five Robust Novel Ene-Reductases from Thermophilic Fungi
Authors: Damada Pedro H. , Fraaije Marco W.
Published: October 2024

Ene-reductases (ERs) are enzymes known for catalyzing the asymmetric hydrogenation of activated alkenes. Among these, old yellow enzyme (OYE) ERs have been the most extensively studied for biocatalytic applications due to their dependence on NADH or NADPH as electron donors. These flavin-containing enzymes are highly enantio- and stereoselective, making them attractive biocatalysts for industrial use. To discover novel thermostable OYE-type ERs, we explored genomes of thermophilic fungi. Five genes encoding ERs were selected and expressed in Escherichia coli, namely AtOYE (from Aspergillus thermomutatus), CtOYE (from Chaetomium thermophilum), LtOYE (from Lachancea thermotolerans), OpOYE (from Ogatae polymorpha), and TtOYE (from Thermothielavioides terrestris). Each enzyme was purified as a soluble FMN-containing protein, allowing detailed characterization. All ERs exhibited a preference for NADPH, with AtOYE showing the broadest substrate range. Moreover, all the enzymes showed activity toward maleimide and p-benzoquinone, with TtOYE presenting the highest catalytic efficiency. The optimal pH for enzyme activity was between 6 and 7 and the enzymes displayed notable solvent tolerance and thermostability, with CtOYE and OpOYE showing the highest stability (Tm > 60 °C). Additionally, all enzymes converted R-carvone into (R,R)-dihydrocarvone. In summary, this study contributes to expanding the toolbox of robust ERs.
Acute Kidney Injury in Children: Classification, Recognition and Treatment Principles
Authors: Kopač Matjaž
Published: October 2024

Acute kidney injury (AKI) in children is a critical medical condition characterized by a sudden decline in kidney function. This article provides a comprehensive overview of AKI in pediatric populations, exploring its pathophysiology, the role of various drugs and the long-term implications for kidney health. Key topics include oliguria, anuria, urine output, hypervolemia and the interactions among them, as well as role of diuretic nephrotoxicity and the glomerular filtration rate. Concepts of electrolytes, acid–base balance and renal perfusion assessment are presented. Basic principles of intensive care unit (ICU) management, renal replacement therapy and the association with multiorgan failure are described. Additionally, the article discusses the potential long-term outcomes of AKI, including the risk of chronic kidney disease, hypertension and proteinuria.
Insights into the Overlap of Chronic Obstructive Pulmonary Disease and Sleep Apnea: Experience from the Clinic of Pneumology, Târgu Mureș
Authors: Ianoși Edith Simona , Zsuzsánna Gall , Rachiș Delia , Huțanu Dragoș , Budin Corina , Postolache Paraschiva , Jimborean Gabriela
Published: October 2024

Introduction: Chronic obstructive pulmonary disease (COPD) has a severe impact on patients’ health and can lead to multiple complications. Material and methods: We analyzed the co-occurrence of obstructive sleep apnea (OSA) in COPD patients hospitalized in the Pneumology Clinic of Târgu Mureș, Romania. Results: A total of 150 COPD patients were investigated by clinical examination, STOP-BANG and Epworth questionnaires, ventilatory polygraphy (PG), EKG, cardiac ultrasound, blood lipids, and sugar. Sixty-eight patients (45.3%) had OSA associated with COPD. A total of 61.7% were COPD gr. E, and 30.8% were gr. B. Frequently shown symptoms were snoring and nonrestorative sleep (100%), somnolence (73.5%), nocturnal awakenings (41.17%), morning headache (32.3%), and aggravated dyspnea. Types of OSA included obstructive (97.05%), central (2.5%), and associated obesity–hypoventilation (39.7%). A total of 76.4% were recently diagnosed with OSA. Men predominated at 70.5%, 76.4% were smokers, and 61.7% had experienced alcohol abuse. A total of 25% were overweight, and 71% had obesity. A total of 13.2% belonged to the category of 38–50-year-olds, 55.8% were in the 51–65-year-old category, 17.6% were in the 66–70-year-old category, and roughly 13.2% were in the 71-year-old category. Overlap syndrome (OS) comorbidities and complications were frequently present: 41% experienced respiratory failure, 66.1% experienced blood hypertension, 58.8% experienced ischemic cardiac disease, 32.35% experienced diabetes mellitus, 50% experienced dyslipidemia, and 29.4% experienced cor pulmonale. Conclusions: OS conferred gravity or directly contributed to cardiovascular, respiratory, and metabolic complications. OS was associated with more severe COPD and obesity. The prevalence of smoking in OS patients was higher than the national/European average.
Macular Alterations in a Cohort of Caucasian Patients Affected by Retinitis Pigmentosa
Authors: Nebbioso Marcella , Mastrogiuseppe Elvia , Gnolfo Eleonora , Artico Marco , Moramarco Antonietta , Mallone Fabiana , Taurone Samanta , Vestri Annarita , Lambiase Alessandro
Published: October 2024

Objectives: Our objective was to investigate the prevalence of macular complications detected by spectral-domain optical coherence tomography (SD-OCT) in a large Caucasian cohort of RP patients, highlight the major alterations in chorioretinal structure, and compare the macular structural changes in eyes affected by retinal dystrophies with those in healthy controls. Methods: This was an observational, retrospective, and cross-sectional study. Three hundred and seven patients with RP were consecutively enrolled and underwent clinical assessment. In particular, SD-OCT images were used to ascertain the morphology of the posterior pole of patients with RP by evaluating the residual ellipsoid zone (EZ), the volume and thickness of the outer nuclear layer (ONLT), and subfoveal choroid thickness (SCT). At the same time, the pathological finding that the patients’ vision was reduced under treatment was analyzed. Results: A total of 436 eyes of 218 patients with RP were studied. Considering all of the eyes studied, 103 had cystoid macular edema (CME) (23.62%), 123 (28.21%) had vitreomacular traction (VMT), and 199 (45.75%) had epiretinal membranes (ERMs). There were also 12 (2.75%) cases of lamellar macular holes (LMHs), of which 3 (1.38% of all patients) cases were bilateral. Only 137 eyes (31.42%) did not have the above-mentioned alterations. SCT was significantly reduced compared to that of the control group (193.03 µm ± 67.90 SD vs. 295 µm ± 69.04 SD), while the foveal central macular thickness (FCMT) was greater (270.91 μm ± 74.04 SD vs. 221 µm ± 37.25 SD). Conclusions: This research highlights the high incidence of macular complications. The results of our study indicate the importance of regular monitoring of RP patients and early intervention to avoid further complications in this group of subjects with severe visual field impairment to avoid further central vision loss.
Towards Wiser Prescribing of Antibiotics in Dental Practice: What Pharmacists Want Dentists to Know
Authors: Thabit Abrar K. , Aljereb Nourah M. , Khojah Omnia M. , Shanab Hanan , Badahdah Arwa
Published: October 2024

Antibiotics have various indications for treatment and prophylaxis in dental practice. While only a handful of antibiotics are typically prescribed in dentistry, unlike in medicine, clear indications and appropriate dosing and duration remain controversial among antibiotic-prescribing dentists, which may result in inappropriate or excessive antibiotic prescriptions. This practice can increase the risk of antibiotic resistance and expose patients to unnecessary side effects. Moreover, the concept of antibiotic stewardship in dental practice remains in its early stages. This review was developed by pharmacists (general and infectious disease pharmacists) in collaboration with a periodontist and a maxillofacial surgeon to provide an antibiotic prescription guide for dentists who frequently prescribe antibiotics. It also sheds light on antibiotic stewardship. The review discusses in detail antibiotic indications for treatment and prophylaxis in dental practice and provides tables that can be used by dentists in their everyday practice. It also discusses the concept of antibiotic stewardship and provides recommendations that can be applied to the practice of antibiotic prescribing in dentistry. Antibiotic prescribing in dental practice should be limited to cases with documented infections or when indicated for prophylaxis. Every dentist can act as an antibiotic steward by prescribing antibiotics wisely and only when necessary, using their discernment to identify appropriate cases and exclude those that do not meet infection criteria. Collaboration with pharmacists is encouraged to provide such recommendations and implement antibiotic stewardship interventions, such as developing antibiotic prescription protocols.
A Systematic Review of Digital Competence Evaluation in Higher Education
Authors: López-Nuñez Juan-Antonio , Alonso-García Santiago , Berral-Ortiz Blanca , Victoria-Maldonado Juan-José
Published: October 2024

University students’ digital skills depend significantly on educators’ proficiency, necessitating regular assessments. Tools like DigComp and the TPACK model are provided in this technological context. A systematic review, following PRISMA criteria, aims to evaluate digital competencies through globally used tools. DigCompEdu is prominent, with Spain leading the research, while unvalidated instruments from Asia highlight global disparities. This review will identify key tools and expose geographical and validation gaps, stressing the need for standardized assessments. Understanding the predominance of DigCompEdu and seeing the variation that is generated in Asia highlights the poor ability to transmit self-perceived competencies to learners.
Cost-Effective Power Management for Smart Homes: Innovative Scheduling Techniques and Integrating Battery Optimization in 6G Networks
Authors: Al-Taie Rana Riad , Hesselbach Xavier
Published: October 2024

This paper presents an Optimal Power Management System (OPMS) for smart homes in 6G environments, which are designed to enhance the sustainability of Green Internet of Everything (GIoT) applications. The system employs a brute-force search using an exact solution to identify the optimal decision for adapting power consumption to renewable power availability. Key techniques, including priority-based allocation, time-shifting, quality degradation, battery utilization and service rejection, will be adopted. Given the NP-hard nature of this problem, the brute-force approach is feasible for smaller scenarios but sets the stage for future heuristic methods in large-scale applications like smart cities. The OPMS, deployed on Multi-Access Edge Computing (MEC) nodes, integrates a novel demand response (DR) strategy to manage real-time power use effectively. Synthetic data tests achieved a 100% acceptance rate with zero reliance on non-renewable power, while real-world tests reduced non-renewable power consumption by over 90%, demonstrating the system’s flexibility. These results provide a foundation for further AI-based heuristics optimization techniques to improve scalability and power efficiency in broader smart city deployments.
Path Planning for Mobile Robots Based on the Improved DAPF-QRRT* Strategy
Authors: Liu Wenhao , Wu Hongyuan , Xiong Wentao , Li Xiaopeng , Cai Bofan , Yu Shengdong , Ma Jinyu
Published: October 2024

The rapidly exploring random tree star (RRT*) algorithm is widely used to solve path planning problems. However, the RRT* algorithm and its variants fall short of achieving a balanced consideration of path quality and safety. To address this issue, an improved discretized artificial potential field-QRRT* (IDAPF-QRRT*) path planning strategy is introduced. Initially, the APF method is integrated into the Quick-RRT* (Q-RRT*) algorithm, utilizing the attraction of goal points and the repulsion of obstacles to optimize the tree expansion process, swiftly achieving superior initial solutions. Subsequently, a triangle inequality-based path reconnection mechanism is introduced to create and reconnect path points, optimize the path length, and accelerate the generation of sub-optimal paths. Finally, by refining the traditional APF method, a repulsive orthogonal vector field is obtained, achieving the orthogonalization between repulsive and attractive vector fields. This places key path points within the optimized vector field and adjusts their positions, thereby enhancing path safety. Compared to the Q-RRT* algorithm, the DPF-QRRT* algorithm achieves a 37.66% reduction in the time taken to achieve 1.05 times the optimal solution, and the IDAPF-QRRT* strategy nearly doubles generated path safety.
Logic Diagnosis Based on Logic Built-In Self-Test Signatures Collected In-Field from Failing System-on-Chips
Authors: Bernardi Paolo , Filipponi Gabriele , Iaria Giusy , Bertani Claudia , Tancorre Vincenzo
Published: October 2024

Modern embedded nanoelectronic devices, particularly in safety-critical sectors, require high dependability throughout their lifecycle. To address this, designers have started integrating extra circuitry for on-device self-testing, such as the Logic Built-In Self-Test (LBIST). However, while automatic test equipment (ATE) ensures exhaustive testing during manufacturing, in-field testing capabilities are limited. This study introduces a novel methodology for in-field data collection of failure information from LBIST engines and a subsequent logic diagnosis strategy to facilitate failure analysis of field returns. The information is collected from key-on and key-off self-tests, executed by central processing units (CPUs) with a fixed seed and different frequency configurations, primarily addressing transition delay (TRN) faults. The proposed approach capitalizes on the constrained in-field configurability of LBIST and does not require a custom architecture, making it highly practical and readily applicable to real-world devices. The logic diagnosis strategy significantly reduces the number of candidate faults by exploiting the first failing pattern index found during the in-field testing and data collection. Reducing fault candidates could enhance accuracy during failure analysis, especially when field return devices exhibit a “No Trouble Found” (NTF) behavior. The experimental results are reported for ITC’99 benchmarks and an industrial automotive system-on-chip (SoC) produced by STMicroelectronics, with about 20 million gates.
Joint Design of Transmit Waveform and Altitude for Unmanned Aerial Vehicle-Enabled Integrated Sensing and Wireless Power Transfer Systems
Authors: Kang Jinho
Published: October 2024

Recently, unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) has received great attention as a promising technology for providing stable power to energy-constrained devices by navigating three-dimensional (3D) space, particularly in challenging environments such as maritime networks and smart cities. Additionally, UAV-enabled radar sensing has gained significant attention as a key technology for future 6G networks, as it enables high-accuracy sensing for various applications, such as target detection and tracking, surveillance, and environmental monitoring, as well as autonomous UAV operation. In this regard, we investigated UAV-enabled integrated sensing and wireless power transfer (ISWPT) systems that combine radar sensing and WPT operations on a unified hardware platform, sharing the same spectrum of resources. In order to accurately sense multiple targets and efficiently transfer power to multiple devices at the same time, we propose a method for jointly designing the transmit waveform and UAV altitude, taking into account the fundamental trade-off between radar sensing performance with the desired beam pattern and WPT performance with the desired harvested power of the devices. We first developed an effective method to obtain the optimal waveform and altitude by solving a challenging non-convex optimization problem. Based on this, we developed another efficient, low-complexity method by exploring a novel transmit waveform and optimizing its parameters to reduce computational complexity and thereby lower power consumption in UAVs. The numerical results verify that the proposed method significantly improves both radar sensing and WPT performance, as well as substantially reduces computational complexity.
Methanogenesis—General Principles and Application in Wastewater Remediation
Authors: Marić Ana-Katarina , Sudar Martina , Findrik Blažević Zvjezdana , Vuković Domanovac Marija
Published: October 2024

The first discovery of methanogens led to the formation of a new domain of life known as Archaea. The Archaea domain exhibits properties vastly different from previously known Bacteria and Eucarya domains. However, for a certain multi-step process, a syntrophic relationship between organisms from all domains is needed. This process is called methanogenesis and is defined as the biological production of methane. Different methanogenic pathways prevail depending on substrate availability and the employed order of methanogenic Archaea. Most methanogens reduce carbon dioxide to methane with hydrogen through a hydrogenotrophic pathway. For hydrogen activation, a group of enzymes called hydrogenases is required. Regardless of the methanogenic pathway, electrons are carried between microorganisms by hydrogen. Naturally occurring processes, such as methanogenesis, can be engineered for industrial use. With the growth and emergence of new industries, the amount of produced industrial waste is an ever-growing environmental problem. For successful wastewater remediation, a syntrophic correlation between various microorganisms is needed. The composition of microorganisms depends on wastewater type, organic loading rates, anaerobic reactor design, pH, and temperature. The last step of anaerobic wastewater treatment is production of biomethane by methanogenesis, which is thought to be a cost-effective means of energy production for this renewable biogas.
The Correlation of the Smart City Concept with the Costs of Toxic Exhaust Gas Emissions Based on the Analysis of a Selected Population of Motor Vehicles in Urban Traffic
Authors: Lewicki Wojciech , Bera Milena , Śpiewak-Szyjka Monika
Published: October 2024

The intensive development of road transport has resulted in a significant increase in air pollution. This phenomenon is particularly noticeable in urban areas. This creates the need for analyses and forecasts of the scale and extent of future emissions of harmful substances into the environment. The aim of this study was to estimate the costs of the emission of toxic components of exhaust gases generated by all users of conventionally propelled vehicles travelling on a section of urban road in the next 25 years. The traffic study was carried out on an urban traffic route, playing a key role for road transport in the dimension of a given urban agglomeration. The traffic forecast for the analysed road section was based on the results of our own measurements carried out in April 2023 and external data from the General Directorate for Roads and Motorways. The results of the observations concerned six categories of vehicles for the morning and afternoon rush hours. Based on the data obtained, the generic structure of the vehicle population on the analysed section and the average daily traffic were determined. Using the methodology contained in the Blue Book of Road Infrastructure, parameters were calculated in the form of annual indicators of traffic growth on the analysed section, travel speed, and annual air pollution costs for selected vehicle categories, remembering at the same time that the Blue Book-based methodology does not distinguish between unit costs in relation to the type of emissions. The results of the study confirmed that there was an increase in the cost of toxic emissions for each vehicle category over the projected 25-year period. The largest increases were seen for trucks with trailers and passenger cars. In total, for all vehicle categories, emission costs nearly doubled from 2024 to 2046, from EUR 3,745,229 to EUR 7,443,384, due to the doubling of the number of vehicles resulting from the traffic forecast. The analyses presented here provide an answer to the question of what pollution costs may be faced by cities in which road transport will continue to be based on conventional types of propulsion. In addition, the research presented can be used to develop urban mobility transformation plans for the coming years, within the scope of the widely promoted smart city concept and the idea of electromobility, by pointing out to local authorities the direct economic benefits of these changes.
Design and Analysis of a Triple-Input Three-Level PV Inverter with Minimized Number of MPPT Controllers
Authors: Gyawali Bikash , Rukhsar  , Ajmal Aidha Muhammad , Yang Yongheng
Published: October 2024

Photovoltaic (PV) energy has been a preferable choice with the rise in global energy demand, as it is a sustainable, efficient, and cost-effective source of energy. Optimizing the power generation is necessary to fully utilize the PV system. Harvesting more power uses cascading of impedance source converters taking input from low-voltage PV arrays which requires multiple maximum power point tracking (MPPT) controllers. To solve this problem, a three-level inverter topology with a proposed PV arrangement, offering higher voltage boosting and a smaller size with a lower cost suitable for low-voltage panels, is designed in this article. The design criteria for parameters are discussed with the help of the small signal analysis. In this paper, three PV arrays are used to harvest maximum energy, which require only one MPPT controller and employ an extended perturb and observe (P&O) algorithm, being faster, highly efficient, and reducing the computational burden of the controller. Moreover, a three maximum power points tracker algorithm, which perturbs one parameter and observes six variables, is designed for the selected converter topology. Finally, the designed 1.1 kVA grid-connected PV system was simulated in MATLAB (R2023a) which shows that the MPPT algorithm offers better dynamics and is highly efficient with a conversion efficiency of 99.2% during uniform irradiance and 97% efficiency during variable irradiance conditions.
In Search of Energy Security: Nuclear Energy Development in the Visegrad Group Countries
Authors: Hebda Wiktor , Mišík Matúš
Published: October 2024

The Visegrad Group, comprising Czechia, Hungary, Poland, and Slovakia, has several common features, including their geographical proximity, membership in the EU and NATO, and similar levels of economic development. However, they also have significant differences. The Russian invasion of Ukraine has exposed new disagreements among them, particularly regarding how to ensure energy security amid a changing geopolitical landscape and the issue of sanctions on Russian energy supplies. Despite these differences, the Visegrad Group countries have shown unity in their approach to nuclear power. Although their use of nuclear technology varies, they have recently aligned their nuclear energy policies. Czechia and Slovakia have a long history with nuclear technology, dating back to the 1970s, while Hungary began its nuclear program in the 1980s. Poland, which had paused its nuclear program after the Chernobyl disaster, has recently resumed its nuclear energy efforts. All four countries aim to expand their nuclear energy capacity to either maintain or increase its share in their electricity mix. This paper provides a comparative analysis of their nuclear energy policies, focusing on the political initiatives driving advancements in this field. It argues that these nations see nuclear energy as crucial for creating a resilient, crisis-resistant, and secure energy sector.
Both Biotic and Abiotic Factors Shape the Spatial Distribution of Aboveground Biomass in a Tropical Karst Seasonal Rainforest in South China
Authors: Lu Fang , Wang Bin , Li Jianxing , Li Dongxing , Liu Shengyuan , Guo Yili , Huang Fuzhao , Xiang Wusheng , Li Xiankun
Published: October 2024

Forest biomass accumulation is fundamental to ecosystem stability, material cycling, and energy flow, and pit lays a crucial role in the carbon cycle. Understanding the factors influencing aboveground biomass (AGB) is essential for exploring ecosystem functioning mechanisms, restoring degraded forests, and estimating carbon balance in forest communities. Tropical karst seasonal rainforests are species-rich and heterogeneous, yet the impact mechanisms of biotic and abiotic factors on AGB remain incompletely understood. Based on the survey data of a 15 ha monitoring plot in a karst seasonal rainforest in Southern China, this study explores the distribution characteristics of AGB and its intrinsic correlation with different influencing factors. The results show that the average AGB of the plot is 125.7 Mg/ha, with notable variations among habitats, peaking in hillside habitats. Trees with medium and large diameters at breast height (DBH ≥ 10 cm) account for 83.94% of the aboveground biomass (AGB) and are its primary contributors; dominant tree species exhibit higher AGB values. Both biotic and abiotic elements substantially influence AGB, with biotic factors exhibiting the largest influence. Among abiotic factors, topographic factors have a strong direct or indirect influence on AGB, while soil physicochemical properties have the smallest indirect impact. This research provides a comprehensive understanding of AGB distribution and its influencing factors in tropical karst forests (KFs), contributing to the management of carbon sinks in these ecosystems.
Environmental Assessment of Forest-Based Industry Products with CAD-Integrated LCA Tools: A Comparative Case Study of Selected Software
Authors: Remic Katarina , Oblak Leon , Kitek Kuzman Manja , Bizjak Govedič Teja , Dolšak Bojan
Published: October 2024

The study evaluates how the environmental impacts of wooden products could be assessed in the early stages of product development using CAD-integrated life cycle assessment (LCA) tools. Focusing on a wooden chair design, the study compares the environmental impact results derived from LCA tools integrated in SolidWorks, NX and Fusion against a traditional LCA analysis performed using SimaPro. Methods involve analysing a chair model to measure the environmental impacts across different life cycle phases, such as material extraction and manufacturing. The results reveal that manufacturing processes, particularly electricity use, significantly contribute to environmental impacts, especially marine and freshwater ecotoxicity. Comparisons between LCA tools integrated into commercial CAD software and SimaPro 9.5.0.1. showed that while the tools deliver comparable results for global warming potential and other categories, they struggle with certain impact categories. The main distinguishing features of the results were methodological. Overall, the results aligned the most with the impact values calculated in Solidworks Sustainability. The study concludes that CAD-integrated tools are useful for early-stage environmental assessments but have limitations, particularly in their material databases and life cycle scope. For a comprehensive assessment, combining these tools with more detailed analysis methods may be necessary. The research suggests improvements for CAD-based tools to enhance their effectiveness in evaluating the environmental impact of wooden products.
Editorial for the Special Issue: Trends in Population Genetics and Identification—Impact on Anthropology
Authors: Gomes Verónica , Azevedo Luísa , Amorim Antonio
Published: October 2024

Technological advances in genetics have revealed many aspects of human ancestry as well as how our genome was shaped by new environments encountered during ancient migrations [...]
Genomic Characterization of Lactiplantibacillus plantarum Strains: Potential Probiotics from Ethiopian Traditional Fermented Cottage Cheese
Authors: Gizachew Seyoum , Engidawork Ephrem
Published: October 2024

Background: Lactiplantibacillus plantarum is a species found in a wide range of ecological niches, including vegetables and dairy products, and it may occur naturally in the human gastrointestinal tract. The precise mechanisms underlying the beneficial properties of these microbes to their host remain obscure. Although Lactic acid bacteria are generally regarded as safe, there are rare cases of the emergence of infections and antibiotic resistance by certain probiotics. Objective: An in silico whole genome sequence analysis of putative probiotic bacteria was set up to identify strains, predict desirable functional properties, and identify potentially detrimental antibiotic resistance and virulence genes. Methods: We characterized the genomes of three L. plantarum strains (54B, 54C, and 55A) isolated from Ethiopian traditional cottage cheese. Whole-genome sequencing was performed using Illumina MiSeq sequencing. The completeness and quality of the genome of L. plantarum strains were assessed through CheckM. Results: Analyses results showed that L. plantarum 54B and 54C are closely related but different strains. The genomes studied did not harbor resistance and virulence factors. They had five classes of carbohydrate-active enzymes with several important functions. Cyclic lactone autoinducer, terpenes, Type III polyketide synthases, ribosomally synthesized and post-translationally modified peptides-like gene clusters, sactipeptides, and all genes required for riboflavin biosynthesis were identified, evidencing their promising probiotic properties. Six bacteriocin-like structures encoding genes were found in the genome of L. plantarum 55A. Conclusions: The lack of resistome and virulome and their previous functional capabilities suggest the potential applicability of these strains in food industries as bio-preservatives and in the prevention and/or treatment of infectious diseases. The results also provide insights into the probiotic potential and safety of these three strains and indicate avenues for further mechanistic studies using these isolates.
Transcriptome Sequencing Analysis of Genes Associated with Different Developmental Periods of the Ovarian Follicle in the Duolang Sheep
Authors: Wang Chengqian , Yan Hang , Hao Wen , Li Fugui , Liu Tianci , Wang Hui’e
Published: October 2024

Background: The ovaries are crucial reproductive organs in female mammals, directly influencing the reproductive efficiency and productivity of these animals. The Duolang sheep, native to Xinjiang, is known for its rapid growth and high fertility. However, the mechanisms underlying ovarian follicle development and regulation in sheep remain unclear. Methods: Employing transcriptome sequencing technology, this study methodically analyzed ovaries from sheep across various estrous cycles to uncover key genes and signaling pathways that play a role in the development of ovarian follicles. Results: The results indicated that a total of 130, 183, and 175 differentially expressed genes were identified in the DTA/DTB, DTB/DTC, and DTA/DTC groups, respectively. Key genes like BAG3, GDF5, RHOB, RUNX2, LGALS3, and CDH1, along with pathways such as endoplasmic reticulum protein processing, the NOTCH signaling pathway, and the MAPK signaling pathway, were found to be involved. RT-qPCR confirmed the differential expression of BAG3, RHOB, and RUNX2. Conclusions: This research provides insights into the molecular mechanisms of ovarian follicle development and a basis for enhancing the reproductive performance of Duolang sheep.
Intergenic Interactions of ESR1, GSTO1 and AGER and Risk of Dementia in Community-Dwelling Elderly (SADEM Study)
Authors: Juárez-Cedillo Teresa , Martínez-Rodríguez Nancy , Juárez-Cedillo Enrique , Ramirez Alfredo , Suerna-Hernández Alan
Published: October 2024

Background: Dementia causes the loss of functional independence, resulting in a decrease in the quality of life of those who suffer from it. Aims: This study aimed to investigate the interactions influencing susceptibility to the development of dementia through multifactor dimensionality reduction (MDR). Methods: the study population was made up of 221 cases and 534 controls. We performed an MDR analysis as well as a bioinformatic analysis to identify interactions between the genes GSTO1_rs4925, AGER_rs2070600, and ESR1_rs3844508 associated with susceptibility to dementia. Results: We observed associations between the polymorphism of GSTO1 and risk of dementia for the site rs4925 with the recessive model (OR = 1.720, 95% CI = 1.166–2.537 p = 0.006). Similarly, the site AGER rs2070600 showed risk of dementia with an additive model of inheritance (OR = 7.278, 95% CI = 3.140–16.868; p < 0.001). Furthermore, we identified the best risk model with a high precision of 79.6% that, when combined with three environmental risk factors, did not give an OR = 26.662 95%CI (16.164–43.979) with p < 0.001. Conclusions: The MDR and bioinformatics results provide new information on the molecular pathogenesis of dementia, allowing identification of possible diagnostic markers and new therapeutic targets.
Rapid India–Asia Initial Collision Between 50 and 48 Ma Along the Western Margin of the Indian Plate: Detrital Zircon Provenance Evidence
Authors: Qasim Muhammad , Ashraf Junaid , Ding Lin , Tanoli Javed Iqbal , Cai Fulong , Ahmed Abbasi Iftikhar , Jadoon Saif-Ur-Rehman Khan
Published: October 2024

Constraining the collision timing of India and Asia requires reliable information from the coeval geological record along the ~2400 km long collisional margin. This study provides insights into the India–Asia collision at the westernmost margin of the Indian Plate using combined U-Pb geochronological data and sandstone petrography. The study area is situated in the vicinity of Fort Munro, Pakistan, along the western margin of the Indian Plate, and consists of the Paleocene Dunghan Formation and Eocene Ghazij Formation. The U-Pb ages of detrital zircons from the Dunghan Formation are mainly clustered between ~453 and 1100 Ma with a second minor cluster between ~1600 and 2600 Ma. These ages suggest that the major source contributing to the Dunghan Formation was likely derived from basement rocks and the cover sequence exposed mainly in Tethyan Himalaya (TH), Lesser Himalaya (LH), and Higher Himalayan (HH). Petrographic results suggest that the quartz-rich samples from the Dunghan Formation are mineralogically mature and have likely experienced log-distance transportation, which is possible in the case of an already established and well-developed river system delivering the sediments from the Craton Interior provenance. Samples of the overlying Ghazij Formation show a major detrital zircon age clustered at ~272–600 Ma in the lower part of the formation, comparable to the TH. In the middle part, the major cluster is at ~400–1100 Ma, and a minor cluster at ~1600–2600 Ma similar to the age patterns of TH, LH, and HH. However, in the uppermost part of the Ghazij Formation, ages of <100 Ma are recorded along with 110–166 Ma, ~400–1100 Ma, and ~1600–2600 Ma clusters. The <100 Ma ages were mainly attributed to the northern source, which was the Kohistan-Ladakh arc (KLA). The ~110–166 Ma ages are possibly associated with the TH volcanic rocks, ophiolitic source, and Karakoram block (KB). The Paleozoic to Archean-aged zircons in the Ghazij Formation represent an Indian source. This contrasting provenance shift from India to Asia is also reflected in the sandstone petrography, where the sample KZ-09 is plotted in a dissected arc field. By combining the U-Pb ages of the detrital zircons with sandstone petrography, we attribute this provenance change to the Asia–India collision that caused the provenance shift from the southern (Indian Craton) provenance to the northern (KLA and KB) provenance. In view of the upper age limit of the Ghazij Formation, we suggest the onset of Asian–Indian collision along its western part occurred at ca. 50–48 Ma, which is younger than the collision ages reported from central and northwestern segments of the Indian plate margin with 70–59 Ma and 56 Ma, respectively.
A Narrative Review of High Throughput Wastewater Sample Processing for Infectious Disease Surveillance: Challenges, Progress, and Future Opportunities
Authors: Shanmugam Bhuvanesh Kumar , Alqaydi Maryam , Abdisalam Degan , Shukla Monika , Santos Helio , Samour Ranya , Petalidis Lawrence , Oliver Charles Matthew , Brudecki Grzegorz , Salem Samara Bin , Elamin Wael
Published: October 2024

During the recent COVID-19 pandemic, wastewater-based epidemiological (WBE) surveillance played a crucial role in evaluating infection rates, analyzing variants, and identifying hot spots in a community. This expanded the possibilities for using wastewater to monitor the prevalence of infectious diseases. The full potential of WBE remains hindered by several factors, such as a lack of information on the survival of pathogens in sewage, heterogenicity of wastewater matrices, inconsistent sampling practices, lack of standard test methods, and variable sensitivity of analytical techniques. In this study, we review the aforementioned challenges, cost implications, process automation, and prospects of WBE for full-fledged wastewater-based community health screening. A comprehensive literature survey was conducted using relevant keywords, and peer reviewed articles pertinent to our research focus were selected for this review with the aim of serving as a reference for research related to wastewater monitoring for early epidemic detection.
The Cardiometabolic Multimorbidity Risk Profile of Females Living in Glendale, ILembe District of Kwa-Zulu Natal
Authors: Grobler Bridget , Ellapen Terry Jeremy
Published: October 2024

Background: Empirical studies have indicated that cardiometabolic multimorbidity risk profiles are upsurging among the South African population. However, there is a limited number of studies that have been conducted to validate these findings in rural communities. Aim: To study the prevalence of cardiometabolic risk factors of females residing in rural Glendale in the ILembe District, South Africa. Methods: One hundred females (aged 18–40 years) voluntarily participated in a cross-sectional observational study. All participants completed an ISAK somatotype profiling, and measured their fasting cholesterol, glucose, blood pressure and resting heart rate. Results: Participants’ average age, body mass index, stature, and body mass, were 28.34 ± 7.07 years, 29.5 ± 8.06 kg/m2, 157.26 ± 6.09 cm, and 72.9 ± 21.12 kg, respectively. The cohort had a mean waist circumference of 94.2 ± 22.1 cm, hip circumference of 108.4 ± 20.9 cm, and waist-to-hip ratio of 0.86. Participants’ mean heart rate, systolic blood pressure, and diastolic blood pressure were 86.31 ± 8.68 bpm, 116.79 ± 16.34 mmHg, and 82.14 ± 10.87 mmHg, respectively. Eleven participants recorded a resting heart rate greater than 100 bpm. Average blood glucose, total cholesterol, low-density lipoprotein, and high-density lipoprotein recorded were 4.87 ± 1.26 mmol/L, 3.78 ± 0.94 mmol/L, 1.76 ± 1.86 mmol/L, and 1.31 ± 0.4 mmol/L. Eighty-three participants HDL-C were below the recommended normative value of 1.55 mmol/L. Conclusion: The average participant presented as overweight, with elevated diastolic blood pressure, and a resting heart rate that has been proven to increase one’s cardiometabolic multimorbidity risk profile. Additionally, a small portion of the cohort were identified to be prediabetic and diabetic. Large proportion of participants had low HDL-C levels suggestive of poor cardiovascular disease protection.
Sleep Quality Assessment and Its Predictors Among Saudi Adults with Type 1 and Type 2 Diabetes: A Cross-Sectional Study
Authors: Alhoqail Abdulaziz A. , Aburisheh Khaled H. , Alammar Abdulrahman M. , Bin Mugren Mohammed A. , Shadid Abdulrahman M. , Aldakhil Ibrahim K. , Enabi Hamza M. K. , Alotaibi Faisal N.
Published: October 2024

Background: Poor sleep quality is prevalent among adults with diabetes, impacting their physical, psychological, and functional well-being. Our goals were to assess the prevalence of poor sleep quality and its association with glycemic control and to identify predictors of poor sleep quality among adults with diabetes mellitus. Methods: This cross-sectional study took place at a tertiary hospital, from October 2022 to March 2023, including 192 adults with type 1 and type 2 diabetes. We collected demographic and clinical data and utilized the Pittsburgh Sleep Quality Index (PSQI) scale to evaluate sleep quality. Results: A total of 65.9% of the participants experienced poor sleep quality (PSQI score > 5), with an average global sleep quality score of 7.36 ± 3.53 for all patients. Poor sleep quality was higher among older and married patients, those with lower education levels, housewives, and those with type 2 diabetes mellitus and associated comorbidities, such as hypertension and dyslipidemia. None of these factors were significantly associated with sleep quality in a multiple linear regression analysis. The mean glycated hemoglobin was 8.68 ± 1.91% and did not correlate with the overall PSQI score and its components. Conclusions: This study revealed a notably high prevalence of poor sleep quality among Saudi adults with diabetes, potentially associated with specific sociodemographic and clinical factors. These findings emphasize the importance of integrating sleep quality education into diabetes management strategies.