Miracle-dz/UniFAR-FTUs huggingface dataset:
Mortality Profiles of Hunter‐Gatherer Societies: A Case Study from the Eastern Pampa–Patagonia Transition (Argentina) During the Final Late Holocene

The objectives of this work are to present a set of methodological procedures to analyse commingled bone assemblages (e.g. secondary burials), in order to build the mortality profile of the Paso Alsina 1 site and discuss the obtained age at death distribution in a context of hunter-gatherer populations that inhabited the eastern Pampa–Patagonia transition (Argentina) during the Final Late Holocene. The Paso Alsina 1 site is a formal disposal area of inhumations composed by multiple secondary burials dated at ca. 500 14C years BP. The site is comprised of a minimum number of 77 individuals, represented by both sexes and all age categories. The mortality profile is characterized by a bimodal pattern with a peak of greater representation of individuals younger than 3 years and another comprising the range between 20 and 34.9 years old. These results are discussed in relation to the paleopathological information available for the site, indicating that individuals suffered mainly disruptions in growth and development by systemic stress. The mortality profile obtained suggests that this skeletal series would not have formed as a result of a catastrophic event. On the contrary, it is an atricional mortality profile, consisting of individuals who died at different times and places and for varied reasons. Later, skeletal remains were grouped into secondary bundles and simultaneously buried at the site. Body manipulation and secondary burials are common in the context of a social reorganization that occurred in the area and in neighbouring regions during the Final Late Holocene. Copyright © 2013 John Wiley & Sons, Ltd.
Effect of Kid's Athletics Program on Elementary School Student's Goal Setting, Problem Solving, and Social Skills

Study this aim to know how the kid's athletics program influences elementary school students' goal setting, problem-solving and social skills. Method research used in research _ this is a pretest-posttest control group design. The sample used in the study is 16 students’ boys and 14 students women ages 11-12 years. The sampling process uses a purposive sampling technique. The student shared Becomes two groups, namely 15 experimental groups and 15 control groups. The instrument used in research is the Life Skills Scale for Sport Questionnaire. Posttest results on both groups show the development of goal setting, problem-solving, and social skills. After all, the kid's athletics program significantly affects student goal setting, problem-solving, and social skills compared to group control.
Countermeasures for the Transformation of Migrant Workers to Industrial Workers in the Construction Industry Based on Evolutionary Game Theory

With the rapid development of new construction methods, China’s construction industry is facing the transformation challenges of industrialization and informationization. However, migrant workers are characterized by high mobility, low education, and poor skills in China’s national conditions, which can no longer meet the requirements of operations. The transformation of the low-level manual migrant workers in the construction industry to high-level skilled industrial workers is inevitable. In order to explore how to better achieve the transformation of construction workers, evolutionary game research with construction unit and labor company as the subjects was carried out. Three types of assumptions were introduced into the constructed evolutionary game model: cooperation mechanism, spillover effect, and incentive mechanism (CSI). Simulation experiments and analysis of the model were finally conducted. The results of the game analysis finally show: (1) a higher initial proportion of selected transformed industrial workers; (2) a fair benefit concession from the construction unit to the labor company; (3) a lower revenue spillover effect; (4) that a higher level of regulation and incentives are conducive to the evolutionary game to converge to the desired state at a faster rate. The findings provide ideas for improving the labor system in China’s construction industry and lay the foundation for solving the labor specialization problem of new construction methods.
Climate regionalization and rotation of principal components

Climate regionalization studies have made intensive use of eigenvector analysis in recent literature. This analysis provides a motivation for examination of the efficacy and validity of variations of principal component analysis (PCA) for such tasks as an eigenvector-based regionalization. Specifically, this study applies the results of an earlier statistical comparison of rotational schemes to monthly Pennsylvanian precipitation data (1958–1978) to analyse differences among the various solutions. Unrotated, orthogonally rotated, and obliquely rotated solutions (eight in total) are compared in order to assess the model and locational consistency among and within these solutions. Model correspondence and consistency are measured by a congruence coefficient used to match (i) the principal components (PC) of the total domain for the selected benchmark pattern with PCs from the total domains of the remaining seven solutions, and (ii) each PC of the total domain with PCs of 25 randomly selected subdomain pairs (a set of 10 and 11 years of data). Locational or geographical consistency among the PC patterns is determined by quantifying the changes in area and area boundary defined by a threshold loading. The results from the Pennsylvanian data indicated that substantial differences in regionalization arose solely from the choice of a particular rotation algorithm, or lack thereof. Oblique rotations were generally found to be the most stable, whereas the orthogonally rotated and unrotated solutions were less stable. The quantitative areal differences among rotation schemes and the unrotated solution illustrate the inherent danger in blindly applying any given solution if physical interpretation of the regionalization is important. The quantitative areal and boundary differences may particularly influence PCA over global spatial domains.
Highly Sensitive Temperature Sensor Based on Vernier Effect Using a Sturdy Double-cavity Fiber Fabry-Perot Interferometer

Temperature measuring is a daily procedure carried out worldwide in practically all environments of human activity, but it takes particular relevance in industrial, scientific, medical, and food processing and production areas. The characteristics and performance of the temperature sensors required for such a large universe of applications have opened the opportunity for a comprehensive range of technologies and architectures capable of fulfilling the sensitivity, resolution, dynamic range, and response time demanded. In this work, a highly sensitive fiber optic temperature sensor based on a double-cavity Fabry-Perot interferometer (DCFPI) is proposed and demonstrated. Taking advantage of the Vernier effect, we demonstrate that it is possible to improve the temperature sensitivity exhibited by the polymer-capped fiber Fabry-Perot interferometer (PCFPI) up to 39.8 nm/°C. The DCFPI is sturdy, reconfigured, and simple to fabricate, consisting of a semi-spherical polymer cap added to the surface of the ferrule of a commercial single-mode fiber connector (SMF FC/PC) placed in front of a mirror at a proper distance. The length of the air cavity (Lair) was adjusted to equal the thickness of the polymer cap (Lpol) plus a distance δ to generate the most convenient Vernier effect spectrum. The DCFPI was packaged in a machined, movable mount that allows the adjustment of the air cavity length easily but also protects the polymer cap and simplifies the manipulation of the sensor head.
A Novel Emergency Message Broadcast Game based on Link Quality in Vehicular ad hoc networks

In vehicular ad hoc networks, the typical problem broadcast storm always happen when vehicles are usually located quite densely within the range of radio transmission. In the paper, a novel emergency message broadcast game is proposed and the game takes nodes' density and link quality into account, each in-between neighbor node can calculate the value of link quality using node's receiving power and by Nash equilibrium determine its probability for rebroadcasting the received emergency message independently. NS-2 simulator is used to evaluate the performance of the proposed scheme, the simulation results show that this proposed broadcast scheme is effective , which can reduce broadcast overhead and decrease transmission delay obviously.
Geology and landscape evolution of the Hellas region of Mars

Hellas basin on Mars has been the site of volcanism, tectonism, and modification by fluvial, mass-wasting, and eolian processes over its more than 4-b.y. existence. Our detailed geologic mapping and related studies have resulted in the following new interpretations. The asymmetric distribution of highland massifs and other structures that define the uplifted basin rim suggest a formation of the basin by the impact of a low-angle bolide having a trajectory heading S60°E. During the Late Noachian, the basin was infilled, perhaps by lava flows, that were sufficiently thick (>1 km) to produce wrinkle ridges on the fill material and extensional faulting along the west rim of the basin. At about the same time, deposits buried northern Malea Planum, which are interpreted to be pyroclastic flows from Amphitrites and Peneus Paterae on the basis of their degraded morphology, topography, and the application of a previous model for pyroclastic volcanism on Mars. Peneus forms a distinctive caldera structure that indicates eruption of massive volumes of magma, whereas Amphitrites is a less distinct circular feature surrounded by a broad, low, dissected shield that suggests generally smaller volume eruptions. During the Early Hesperian, a ∼1- to 2-km-thick sequence of primarily fined-grained, eolian material was deposited on the floor of Hellas basin. Subsequently, the deposit was deeply eroded, except where armored by crater ejecta, and it retreated as much as 200–300 km along its western margin, leaving behind pedestal craters and knobby outliers of the deposit. Local debris flows within the deposit attest to concentrations of groundwater, perhaps in part brought in by outflow floods along the east rim of the basin. These floods may have deposited ∼100–200 m of sediment, subduing wrinkle ridges in the eastern part of the basin floor. During the Late Hesperian and Amazonian, eolian mantles were emplaced on the basin rim and floor and surrounding highlands. Their subsequent erosion resulted in pitted and etched plains and crater fill, irregular mesas, and pedestal craters. Local evidence occurs for the possible former presence of ground ice or ice sheets ∼100 km across; however, we disagree with a hypothesis that suggests that the entire south rim and much of the floor of Hellas have been glaciated. Orientations of dune fields and yardangs in lower parts of Hellas basin follow directions of the strongest winds predicted by a recently published general circulation model (GCM). Transient frost and dust splotches in the region are, by contrast, related to the GCM prediction for the season in which the images they appear in were taken.
Performance Analysis Of DSMST Converter FED BLDC Motor

A positive output voltage SEPIC-type DC-DC converter called DSMST (modified SEPIC topology) without a transformer for use in electric vehicles. The DSMST converter is derived from the traditional SEPIC converter with the addition of a switching cell. Furthermore, the output diode and inductors are interchanged for the continuous output current. In the realm of electric vehicles, the utilization of Brushless DC (BLDC) motor drives coupled with a DC-DC converter has become increasingly important. Specifically in the context of electric vehicles, the use of BLDC motors offers several technical advantages compared to other types of motors such as DC, induction, and switched reluctance motors. The DSMST converter is connected to the BLDC motor through a three-phase voltage source inverter (VSI) to regulate the voltage and current supplied to the BLDC motor, ensuring optimal performance. To regulate the speed of drive, a closed loop control system is developed using hall sensor signals. The proposed system is developed in the MATLAB/Simulink to check the applicability of electric vehicle configuration and the results shown that the proposed converter is well suitable for electric vehicle applications.
Deep Learning for Multi-Structured Javanese Gamelan Note Generator

Javanese gamelan, a traditional Indonesian musical style, has several song structures called gendhing. Gendhing (songs) are written in conventional notation and require gamelan musicians to recognize patterns in the structure of each song. Usually, previous research on gendhing focuses on artistic and ethnomusicological perspectives, but this study is to explore the correlation between gendhing as traditional music in Indonesia and deep learning technology that replaces the task of gamelan composers. This research proposes CNN-LSTM to generate notation of ricikan struktural instruments as an accompaniment to Javanese gamelan music compositions based on balungan notation, rhythm, song structure, and gatra information. This proposed method (CNN-LSTM) is compared with LSTM and CNN. The musical data in this study is represented using numerical notation for the main melody in balungan notation. The experimental results showed that the CNN-LSTM model showed better performance compared to the LSTM and CNN models, with accuracy values of 91.9%, 91.5%, and 91.2% for CNN-LSTM, LSTM, and CNN, respectively. And the value of note distance for the Sampak song structure is 4 for the CNN-LSTM model, 8 for the LSTM model, and 12 for the CNN model. The smaller the note distance, the closer it is to the original notation provided by the gamelan composer. This study provides relevance for novice gamelan musicians who are interested in learning karawitan, especially in understanding ricikan struktural music notation and gamelan art in composing musical compositions of a song.
A Comparative Study on Wind Power Forecasting Models Based on the Use of LSTM

In the context of wind power generation's growing significance, this research tackles the critical problem of improving power system stability by reducing peak load and frequency control pressures using sophisticated wind power forecasting methods. Using the rapidly developing area of artificial intelligence and neural networks in particular, the study explores the efficacy of Long Short-Term Memory (LSTM), a recurrent neural network designed for event forecasting in time series data with long intervals and temporal delays. The research presents a novel forecasting model, LSTM that enhances prediction accuracy. This is corroborated by the calculated Root Mean Squared Error (RMSE) of 0.6782 and Mean Absolute Error (MAE) of 0.4614. The sustainability and dependability of wind energy integration into power systems may be enhanced by these findings, which highlight the possibility for more efficient and rapid convergence processes in wind power forecasting.
Mass Spectrometry Analysis of Shark Skin Proteins

The mucus layer covering the skin of fish has several roles, including protection against pathogens and mechanical damage in which proteins play a key role. While proteins in the skin mucus layer of various common bony fish species have been explored, the proteins of shark skin mucus remain unexplored. In this pilot study, we examine the protein composition of the skin mucus in spiny dogfish sharks and chain catsharks through mass spectrometry (NanoLC-MS/MS). Overall, we identified 206 and 72 proteins in spiny dogfish (Squalus acanthias) and chain catsharks (Scyliorhinus retifer), respectively. Categorization showed that the proteins belonged to diverse biological processes and that most proteins were cellular albeit a significant minority were secreted, indicative of mucosal immune roles. The secreted proteins are reviewed in detail with emphasis on their immune potentials. Moreover, STRING protein–protein association network analysis showed that proteins of closely related shark species were more similar as compared to a more distantly related shark and a bony fish, although there were also significant overlaps. This study contributes to the growing field of molecular shark studies and provides a foundation for further research into the functional roles and potential human biomedical implications of shark skin mucus proteins.
Bioprinted in vitro tissue models: an emerging platform for developing therapeutic interventions and disease modelling

In the past decade, the use of three-dimensional (3D) bioprinting technology for the development of in vitro tissue models has attracted a great deal of attention. This is due to its remarkable precision in constructing different functional tissues and organs, enabling studies of their biology. In addition, this high-throughput technology has been extended to therapeutics, as it provides an alternative functional platform for rapid drug screening and disease modelling. Functional tissue models fabricated using 3D bioprinting mimic native tissues and help in the development of platforms for personalized drug screening and disease modelling due to their high throughput and ease of customization. Moreover, bioprinted 3D tissue models mimic native tissues more closely and provide added advantages over earlier conventional tissue models, such as monoculture, co-culture, explants, etc. In this context, this review article provides an overview of different bioprinted in vitro tissue models of skin, bone, neural tissue, vascular tissue, cartilage, liver and cardiac tissue. This article explores advancements and innovations in these models in terms of developing improved therapeutic interventions. Herein, we provide an insight into the development of different bioprinted tissue models for applications in drug screening and disease modelling. The needs and advantages of bioprinted tissue models as compared with conventional in vitro models are discussed. Furthermore, the different biomaterials, cell sources and bioprinting techniques used to develop tissue models are briefly reviewed. Thereafter, different bioprinted tissue models, namely skin, liver, vascular, cardiac, cartilage, bone and neural tissue, are discussed in detail with a special emphasis on drug screening and disease modelling. Finally, challenges and future prospects are highlighted and discussed. Taken together, this review highlights the different approaches and strategies used for the development of different 3D bioprinted in vitro tissue models for improved therapeutic interventions.
Intravenous single dose of tranexamic acid safely reduces blood loss and the need for transfusion in elderly patients with hip fracture. A randomized double-blinded controlled trial at 1-year follow-up

Background: A hip fracture usually presents significant blood loss in the perioperative period, with a transfusion rate of 20-60%. In order to reduce the complications associated with this procedure, the administration of Tranexamic Acid (TXA) has been implemented in the treatment of perioperative anemia. The objectives were to evaluate the effectiveness and safety of a single dose of intravenous Tranexamic Acid (TXA) in reducing perioperative blood loss and the requirement for transfusion in elderly patients undergoing hip fracture surgery within one postoperative year. Methods: A double-blind randomized controlled trial was conducted on 129 patients with hip fractures. After randomization, at the start of the surgery, 65 patients received a single dose of 1 gram of intravenous TXA (TXA group), and 64 received a placebo (placebo group). The primary effectiveness outcomes were the total blood loss and transfusion rate. The primary safety outcome was the rate of thromboembolic events. Data on surgical or medical infection, readmission and death were also collected. Results: The TXA group had a significant decrease in blood loss (p = 0.006) and requirement for transfusion (p < 0.001) compared with the placebo group. Likewise, there were no thromboembolic events in the TXA group and seven in the placebo group (p = 0.006). Mortality within 1-year postoperatively was not significantly different (p = 0.115). Conclusion: Using a single dose of intravenous TXA at the start of the surgery significantly reduces blood loss and the requirement for transfusion without increasing the risk of thromboembolic events or mortality within 1-year postoperatively in patients with hip fracture undergoing surgery. Registration number: NCT03211286. https://clinicaltrials.gov/ct2/show/NCT03211286. Level of evidence: I.
Study on the Pattern of Postpartum Uterine Involution in Dairy Cows

Simple Summary Postpartum uterine involution is necessary for the normal reproduction of dairy cows. The study aimed to investigate the pattern of postpartum uterine involution and the effect of parity on uterine involution in dairy cows. A B-mode veterinary ultrasound scanner was used to monitor the diameter of the uterine cervix, pregnant uterine horn, and non-pregnant uterine horn at 5, 10, 15, 20, 25, 30, 35, and 40 days, respectively, after parturition in both multiparous and primiparous dairy cows. Meanwhile, the concentrations of hydroxyproline, estradiol (E2), and insulin-like growth factor 1 (IGF-1) were detected using ELISA and blood samples. The results showed that the diameter of the pregnant uterine horn and uterine cervix did not decrease any further at 25 days postpartum. Hydroxyproline levels gradually decreased during uterine involution; however, there was no significant variation in IGF-1 and E2 concentrations during uterine involution. These results suggest that uterine involution was around 25 days postpartum in healthy dairy cows. The hydroxyproline levels of the peripheral blood may be an indicator of uterine involution in postpartum cows. Abstract Postpartum uterine involution is necessary for the normal reproduction of dairy cows. The study aimed to investigate the pattern of postpartum uterine involution and the impact of parity on uterine involution in Chinese Holstein dairy cows. The diameter of the uterine cervix, pregnant uterine horn, and non-pregnant uterine horn were monitored using a B-mode veterinary ultrasound scanner at 5, 10, 15, 20, 25, 30, 35, and 40 days, respectively, after parturition in both multiparous and primiparous dairy cows. Meanwhile, the concentrations of hydroxyproline, E2, and IGF-1 were detected using ELISA at 5, 10, 15, 20, 30, and 40 d after parturition in both multiparous and primiparous dairy cows. Furthermore, the duration of uterine involution was compared in the multiparous and primiparous dairy cows. The results demonstrated that the diameter of the uterine cervix and the pregnant uterine horn did not decrease any further at 25 days postpartum for both the multiparous cows and the primiparous cows. Hydroxyproline levels gradually decreased with uterine involution; however, there was no significant variation in IGF-1 concentrations during uterine involution in the dairy cows. Although E2 concentrations of the peripheral plasma displayed an upward trend from day 5 to day 15 in the two groups of postpartum cows, there was no significant difference between the two groups during uterine involution. These results suggest that postpartum uterine involution was around 25 days postpartum in both the primiparous dairy cows and the multiparous Chinese Holstein dairy cows. Parity did not affect uterine involution in the postpartum Chinese Holstein dairy cows. The hydroxyproline levels of the peripheral blood may be an indicator of uterine involution in postpartum cows. Nonetheless, IGF-1 and E2 levels of the periphery blood are not associated with uterine involution in Chinese Holstein dairy cows.