Found 492 results
Open Access
Article
08 May 2025Evaluating Orthophoto Mosaic Accuracy Using RTK UAVs and AeroPoints 2 Ground Control Points: A User’s Perspective
With the growing use of Real Time Kinematics (RTK) Unmanned Aerial Vehicles (UAVs) and advancements in ground control points (GCPs), assessing positional accuracy of UAV derived orthophoto mosaics is crucial. This study aimed to improve UAV aerial image accuracy for more reliable orthophoto mosaics by examining the positional accuracy of orthophoto mosaics derived with (1) an RTK UAV; and (2) an RTK UAV combined with AeroPoints 2 GCPs. We tested two GPS base station methods for the RTK UAV: self-determined and manually assigned coordinates. The manually assigned coordinates resulted in significantly lower root mean square error (RMSE = 0.0729 m) compared to the self-determined method (RMSE = 1.9762 m), indicating improved accuracy. For the AeroPoints 2 GCPs, we recorded coordinates from a central GCP at a known location and four additional GCPs placed in each cardinal direction. The AeroPoints 2 system showed lower RMSE at all points compared to the RTK, with the central GCP at 0.0136 m, indicating high accuracy. These findings suggest that while RTK UAVs improve accuracy with manual base station assignment, incorporating AeroPoints 2 GCPs provides consistently higher precision across multiple locations. The study highlights the potential of AeroPoints 2 GCPs and suggests further research opportunities to enhance RTK UAV accuracy in areas lacking GPS correctional networks.
Open Access
Review
06 May 2025Genetic Insights into Ancient Kinship and Human History: Methods, Applications, and Implications
Recent advances in ancient DNA analysis have transformed our understanding of kinship and underlying social structures in past populations. The application of next-generation sequencing technologies has enabled researchers to reconstruct the genetic makeup of ancient individuals with unprecedented precision, providing new insights into lineage, ancestry, and social organization. Ancient DNA evidence has revealed a wide range of kinship systems, including patrilineal and matrilineal descent, consanguineous marriages, female exogamy, and family-based burial practices. These findings underscore the complexity of human social relationships and the dynamic interactions between genetic inheritance, cultural traditions, and environmental factors in ancient societies. By examining case studies across different geographic and temporal contexts, this review highlights the transformative potential of ancient DNA in deciphering past human relationships. However, it also addresses key ethical concerns, including the importance of respecting cultural sensitivities and avoiding overly deterministic interpretations of genetic data. The integration of genetic evidence with archaeological and anthropological perspectives enables a more comprehensive reconstruction of ancient social systems, moving beyond simplistic genetic determinism to appreciate the intricate interconnections between biology, culture, and identity.
Open Access
Article
27 April 2025Steel and Aluminium Moulds: Comparative Analysis of Optimal Parameters to Inject Amorphous and Semicrystalline Polymers
The thermoplastic injection moulding process is very important in the plastics industry, as it enables automated production, supports high productivity and allows the production of plastic parts with complex geometries. It is possible to split into two large groups of polymers: amorphous and semicrystalline. Cooling rate and other injection moulding parameters have a great influence on the final properties of the plastic part. Regarding the use of aluminium as cavity material in injection moulds, new variables must be included in the analysis, since its thermal properties are significantly different from those presented by steels, which are traditionally used. In this way, the purpose of this study was to evaluate the effect of aluminium and steel cavities on different types of thermoplastics belonging to the two classes of polymers by assessing the injection parameters of a high-production part (automotive cup holder). In terms of productivity factors, moulds made of aluminium using semicrystalline polymers showed more significant reductions in cycle time compared to amorphous materials. Specifically, polypropylene exhibited a cycle time reduction between 40.6% and 52.5% when compared to steel moulds, while polyamide showed an even more substantial reduction, ranging between 56% and 63.5%. As for warpage, the amorphous materials displayed the lowest values for both types of moulds, but they also exhibited greater variations in isothermal simulations compared to semicrystalline materials. In relation to the mould materials, aluminium mould exhibited the lowest warping results and smaller variations compared to the isothermal analyses for all polymers.
Open Access
Article
27 April 2025The Impact of Pacemaker Programming on Morbidity in Heart Transplant Recipients
Pacemaker programming recommendations in patients post-heart transplant include a higher lower rate limit, activating rate response mode, maximising battery longevity and minimising ventricular pacing in patients without atrioventricular block. This study sought to investigate how variability in pacemaker programming following orthotopic heart transplant affects morbidity. We conducted a retrospective analysis of heart transplant recipients at a single transplant centre between 1991 and 2023. Patients requiring pacemaker implantation following transplantation were matched with non-pacemaker recipients by age, sex and height. Patient and device characteristics were reviewed. Clinical outcomes, programming and physiological parameters were compared within the pacemaker group and between subject and comparator groups. Forty-five heart transplant recipients were included: 15 with pacemakers and 30 without. Within the pacemaker group, 20% were programmed with LRL > 60 bpm, rate-response mode in 47% and algorithms minimising ventricular pacing in 27%. Fifty-three percent were NYHA class I, and 46% NYHA class II; resting heart rate was similar between the groups (85 (SD14.9) and 79 (SD8) bpm: p = 0.33). NYHA class I group achieved a higher workload (METS 9 (SD2.7) vs. 6.9 (SD1) mL/kg/min: p = 0.21), and peak heart rate (135 (18.8) vs. 123 (14.8) bpm: p = 0.29) during exercise stress echocardiogram (ESE). The pacemaker group was more symptomatic than the comparator group (NYHA class II 46% vs. 10%: p = 0.016) and exhibited higher rates of cardiac allograft vasculopathy (53% vs. 10%: p = 0.005). There is substantial variability in pacemaker programming in heart transplant recipients. Patients who require a pacemaker have a greater symptom and comorbidity burden than those without. No identifiable physiological or programming differences stratified the greater morbidity within the pacemaker cohort.
Open Access
Review
27 April 2025Efficient Communication, the Lexicon, and Grammar
The driving forces behind language variation and change have long been a subject of debate. One prominent approach takes a functionalist perspective and posits that the need for efficient communication shapes lexical and grammatical patterns. This paper reviews five recent studies that offer further support for the plausibility of the communicative efficiency principle while also providing new insights into other factors that contribute to efficient linguistic structures. The key findings from these studies can be summarized as follows: (1) the principle of communicative efficiency offers plausible explanations for both lexical and grammatical phenomena, addressing both synchronic variations and diachronic changes in language evolution; (2) linguistic systems achieve efficiency through multiple mechanisms such as creation bias and selective pressures favoring efficient communication; (3) in addition to communicative efficiency, language evolution is also shaped by language history, with existing structures influencing subsequent ones. By synthesizing these studies, this paper underscores the efficiency account as a plausible and inclusive explanatory framework. It also stresses the need to rigorously delineate the role of communicative efficiency in language evolution, cautioning against automatically conflating the presence of efficient structures with intentional optimization for communicative goals.
Open Access
Article
25 April 2025Human Behavioral Ecology: Opportunities for Theoretically Driven Research on Human Behavioral Variation in China
Human behavioral ecology is an evolutionary framework that attempts to understand how adaptive human behavior maps on to variation in social, cultural, and ecological environments. It emerged as a coherent framework in the United States and the U.K. in the 1980s and has flourished as an explanatory framework ever since. The concentration of HBE scholarship in English-speaking countries has led to missed opportunities to engage other partners in testing and expanding human behavioral ecological models of human behavioral and life history variation. In this review, we provide a brief review of human behavioral ecology and describe opportunities for related scholarship in the Chinese context. We introduce human behavioral ecology holistically, including its history, methodological frameworks, pet topics, and recent integration with related fields, with a special emphasis on its recent integration with Chinese social, archaeological, and life sciences scholarship. We address potential criticisms of human behavioral ecology and how to ensure a robust and careful application of human behavioral ecology principles in the study of human behavior in China, past and present. We conclude with excitement as the remarkable variation in the Chinese behavioral landscape offers unparalleled opportunities for innovative and integrative studies.
Open Access
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.
Open Access
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.
Open Access
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.
Open Access
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.
