Artiles
Article
23 April 2025Socio-Economic and Environmental Impacts of Jamrani Irrigation Dam Project, Kumaon Himalaya, India
This paper examines the economic and environmental impacts of the proposed Jamrani Irrigation Dam Project on the upstream and downstream areas. This study is primarily empirical, and a case study of six villages was conducted. A total of 415 households are being affected—fully and partially, due to the construction of the dam, out of which 122 heads of households were interviewed. A structured questionnaire was constructed, and the heads of households were asked about the socio-economic and environmental impacts of the proposed dam project. Furthermore, a detailed perception study of these households was conducted. Secondary data related to the size of the dam project, various land uses being affected by the dam, its socio-economic and environmental impact, and the most beneficial sectors were collected from the irrigation department, Government of Uttarakhand’s report 2020. In addition, socio-economic data from 415 households were collected from the same source. This study reveals that the dam project will have many favourable economic impacts in terms of supplying ample water for drinking and irrigation, electricity generation, development of infrastructural facilities and tourism, and the Gaula River flood control. On the other hand, the dam project will lead to land degradation, depletion of faunal and floral resources, soil erosion, and finally, the rehabilitation of the affected people. This study suggests that the proper use of technology and a suitable rehabilitation policy will make the project successful.
Review
23 April 2025Research Progress on Offshore Wind Turbine Foundation Structures and Installation Technologies
Offshore wind power, as an important component of renewable energy, has gradually become one of the key technologies in global energy transition. The development of offshore wind power faces complex technical challenges, including strong wind, waves, currents, foundation bearing capacity, and installation technologies for wind turbines, among other issues. In recent years, with technological advancements, significant breakthroughs have been made in the design of offshore wind power foundation structures, installation technologies, and equipment. This paper provides a comprehensive review of the recent progress in offshore wind power technologies, deeply exploring innovative technologies in areas such as the overall development trends, foundation structures, installation technologies, and equipment of offshore wind power. Special attention is given to the design and safety analysis of wind turbine foundation structures under different foundation conditions, as well as installation technologies for wind power in complex sea conditions and deep-water areas. The paper argues that the applicable depth of fixed foundations is expected to extend beyond 50 m. The jacket foundation remains the mainstream choice for future large-scale wind turbines, with the potential to increase its applicable water depth to 100 m. Furthermore, floating foundations have significant potential for cost reduction and efficiency improvements. Developing entirely new foundation structures and installation technologies suitable for deep-water environments is also a key direction for future development.
Article
23 April 2025Evaluating Everyday Prospective Memory in School-Age Children through Parent- and Self-Reports: Validating Questionnaires and Examining Relations to Executive Functions and Autistic Traits
Prospective memory (PM) refers to the ability to remember to complete everyday tasks, and in adults, PM is often assessed using the Prospective and Retrospective Memory Questionnaire (PRMQ). However, this questionnaire has not been validated in children, and whether it is effective in detecting subtle PM and retrospective memory (RM) difficulties in subclinical populations remains unclear. Study 1 first validated the parent-reported PRMQ for children (PRMQC-p) and developed a self-reported version (PRMQC-s), and Study 2 examined the relationships among PM, executive functions, and autistic traits using parent-reported questionnaires. The study recruited 1127 children aged 6–12 years and their parents. Parents completed questionnaires assessing PM, executive functions, and autistic traits, while children completed the PRMQC-s. Confirmatory factor analysis indicated that both versions of PRMQC showed good reliability and supported the PM-RM correlated factor model. Preliminary norms were generated to allow quick evaluation of children’s everyday PM and RM performance. Importantly, higher autistic traits were associated with more frequent PM errors and executive functions completely mediated this relationship. These findings suggest that the PRMQC is a valid and useful tool for evaluating children’s everyday PM performance and emphasizes the critical role of executive functions in daily PM.
Review
22 April 2025Counterfeit Drug Investigations: Techniques, Challenges, and the Role of Abductive Reasoning
Variable types of investigations exist regarding counterfeit drug detection, disruption, and regulation. Counterfeit drugs are spurious drugs, falsely labelled, falsified, substandard, unregistered/unlicensed, and infringe trademarks. Counterfeit drugs can mimic both legitimate and illegitimate drugs and are often distributed in virtual environments, such as illicit online pharmacies, the surface web, and the dark web. Counterfeit drug operators and operations are the typically corrupt and/or criminal individuals, groups, and techniques by which counterfeit drugs are produced and distributed. The manufacture and distribution of counterfeit drugs are ever-changing, which results in the need for investigative techniques that are equally adaptable and collaborative. Counterfeit drug investigations can be defined according to four categories: medical investigations in hospitals and through autopsies, chemical and non-chemical drug investigations in forensic toxicology laboratories, various track-and-trace technologies used in pharmaceutical industry investigations, and national and global coordinated investigations. Due to the diverse counterfeit drug investigations present, the logic and practice of abduction are highlighted as a primary part of the investigative element to counter ongoing efforts by offenders to evade detection. Abductive rationalities are prioritized in that they are contrary to an increasing reliance on technoscientific modes of data production alone. Rather, abductive reasoning plays a central role in counterfeit drug investigations at the levels of instigating and directing investigations, as well as interpreting and responding to evidential findings.
Article
18 April 2025Factors Influencing the Incomes of Chinese Herdsmen in the Context of Grassland Ecological Compensation: A Meta-Analysis
This original paper, within the context of grassland ecological protection subsidies and reward policies, draws on 27 empirical studies conducted between 2011 and 2024 to conduct a meta-analysis of the factors influencing Chinese herdsmen’s incomes concerning heterogeneity and its sources. The results reveal 16 variables that have a significant positive impact on herdsmen’s incomes. These include herdsmen’s gender, age, ethnicity, level of education, household size, labor force, membership in cooperatives, subsidy amount, livestock quantity, living and production expenses, fixed assets, grassland area, per capita grassland area, grassland quality, and location. Among them, the quantity of livestock shows the greatest effect. Significant heterogeneity is evident across six variables: Subsidy amount, livestock quantity, grassland area, labor force, production expenses, and per capita grassland area. The heterogeneity in subsidy amount and grassland area originates from the use of different statistical methods, while the heterogeneity in livestock quantity is attributable to differences in the type of literature; per capita, grassland area heterogeneity is caused by differences in the geographical regions under analysis.
Article
18 April 2025Demographic History of Ancient Okunev People and Their Kin across Eurasia: A Patrilineal Perspective
The ancient Okunev culture in South Siberia is renowned for its mysterious artistic and cultural legacy and belief system. Many later, Eurasian steppe peoples are thought to have inherited elements of the Okunev culture, but its origins and evolution remain unclear. Previous research of ancient DNA (aDNA) indicated that the primary paternal lineage of the ancient Okunev people was Q-L330-YP761. In this study, we sequenced 25 modern samples from this haplogroup and analyzed them alongside 26 ancient samples and 10 modern samples from public sources. The updated, high-resolution phylogenetic tree shows paternal lineage Q-L330-YP761 expanded significantly during the Okunev culture. Its downstream subclade Y145421 was the main paternal type of the Chandman culture. Phylogeographic analysis indicates that Q-L330-YP761 largely integrated into the Xiongnu, Tiele, and Han Chinese populations after the Okunev culture. Many downstream branches of Q-L330-YP761 also migrated westward to Central Asia and Europe. In summary, Q-L330-YP761 is considered one of the genetic lineages that have migrated across the Eurasian steppe since the Bronze Age.
Article
18 April 2025Prediction of an Additive Manufacturing Defect Based on Deep Learning
Selective laser melting (SLM) is one of the additive manufacturing (AM) methods and the most studied laser-based AM process for metals and alloys. The optimization of the laser process parameters of SLM and the prediction of defects such as cracks, keyholes, and lack of fusion (LOF) are significant for improving the product quality of SLM. Deep learning (DL) has the potential to analyze complex processes and predict anomalies; however, much data is generally needed for training a DL model. Experimental studies on AM, such as SLM, often use the design of experiments (DOE) to reduce the number of experiments and save costs and time. Therefore, much experimental data is not prepared to create the DL model. This paper deals with creating a DL model on a small experimental data set with unbalanced data and predicting the defect LOF of SLM using the created DL model. Data analytics is performed based on four DL methods, including the Elman neural network, the Jordan neural network, the deep neural network (DNN) with weights initialized by the deep belief network (DBN), and the regular DNN based on the algorithms ‘rprop+’ and ‘sag’. It is shown that the regular DNN based on the ‘sag’ algorithm, after the z-score standardization of the small data set, helps create an accurate DL model and achieve good analytics and prediction results. The three other DL methods in this paper do not work well on the small data set (with unbalanced data) in the defect prediction.
Article
18 April 2025Strata Use in a Canopy Beetle Community of a Lowland Neotropical Rainforest in Southern Venezuela
Stratification of tropical rainforests and their arthropods is highly pronounced. I hypothesize that the occurrence of rainforest canopy beetles in the understory is not random but related to the ecology of the taxa, such as feeding guilds and larval development. Therefore, the ecological characteristics of stratum generalists recorded in both the canopy and the lower understory were analyzed. Adult beetles were collected manually and with traps in the northern part of the Amazonian rainforest for a cumulative year. Seventy out of a total of 862 canopy beetle species from 45 families associated with 23 tree species were shared between both strata. The beetle families represented by most species in the canopy and ground samples were Curculionidae, Chrysomelidae, and Carabidae. For Elateridae and Scarabaeidae, the proportion of shared species between the strata was ≥20%. In contrast, the species-rich families (≥20 canopy species) Cerambycidae, Mordellidae, and Buprestidae did not comprise species sampled in both strata. Thus, beetle families comprising many stratum generalists are either largely predatory, or their larvae often develop in the soil.
Review
17 April 2025Advances in Cardiac Resynchronisation Therapy
Cardiac resynchronisation therapy (CRT) has emerged as a transformative treatment in heart failure management, particularly for patients with significant left ventricular systolic dysfunction in the context of electrical dyssynchrony. Over time, CRT has evolved to address broader patient populations and more complex clinical scenarios. Despite its well-documented benefits in improving survival, reducing hospitalisation and enhancing quality of life, approximately 30% of patients fail to respond, making ongoing research critical for optimising outcomes. This review provides a comprehensive update on the evolving landscape of CRT therapy. Focus is placed on expanding indications, novel assessment techniques for dyssynchrony, application in special populations and innovations in device programming.
Article
15 April 2025Technical and Eco-Efficiency Implications of the Use of Basalt Fibre in Hybrid Composites
The use of hybrid composites can be environmentally friendlier than the traditional materials since renewable resources, both natural and synthetic fibres can be incorporated into the composites, resulting in lighter weight, enhanced resource efficiency, durability, and biodegradability, which could potentially make them sustainable materials for structural applications. Basalt fibre being treated with hydrochloric acid exhibits superior adhesion with the epoxy matrix, improving overall strength and stiffness. Thus, the aim of this paper is to determine the eco-efficiency of two types of hybrid composites: glass/basalt and carbon/basalt fibre-reinforced under flexural loading. The flexural strengths of these composites were obtained through a Finite Element Analysis (FEA) model using Ansys workbench. These simulation-based flexural strengths form the basis for the quadratic regression model to establish a relationship between the different flexural strengths and fibre volume fractions combinations. Given the required flexural strength between 900 and 1300 MPa, the optimal candidates/layups were identified with the aid of the model. An environmental study following a life cycle assessment (LCA) and eco-efficiency framework of unidirectional glass/basalt and carbon/basalt fibre-reinforced hybrid composites with varying fibre volume fractions is presented in this paper to select the eco-efficient composites. In the case of glass/basalt fibre-reinforced hybrid composites, the designs with the highest eco-efficiency for 900 and 1200 MPa are [BG3]S with more glass fibre and [G7B] with more glass fibre, respectively, due to having lower costs and environmental impacts. For carbon/basalt fibre-reinforced composites, the stacking sequence [B8] was deemed to be the most eco-efficient. Finally, epoxy has the highest economic and environmental cost. Therefore, composite designs with high glass fibre content are considered eco-efficient since they have a lower epoxy content.
