Miracle-dz/UniFAR-FTUs huggingface dataset:
A functional modeling approach for quality assurance in metal additive manufacturing

Due to the complexity of and variations in additive manufacturing (AM) processes, there is a level of uncertainty that creates critical issues in quality assurance (QA), which must be addressed by time-consuming and cost-intensive tasks. This deteriorates the process repeatability, reliability and part reproducibility. So far, many AM efforts have been performed in an isolated and scattered way over several decades. In this paper, a systematically integrated holistic view is proposed to achieve QA for AM. ,A systematically integrated view is presented to ensure the predefined part properties before/during/after the AM process. It consists of four stages, namely, QA plan, prospective validation, concurrent validation and retrospective validation. As a foundation for QA planning, a functional workflow and the required information flows are proposed by using functional design models: Icam DEFinition for Function Modeling. ,The functional design model of the QA plan provides the systematically integrated view that can be the basis for inspection of AM processes for the repeatability and qualification of AM parts for reproducibility. ,A powder bed fusion process was used to validate the feasibility of this QA plan. Feasibility was demonstrated under many assumptions; real validation is not included in this study. ,This study provides an innovative and transformative methodology that can lead to greater productivity and improved quality of AM parts across industries. Furthermore, the QA guidelines and functional design models provide the foundation for the development of a QA architecture and management system. ,This systematically integrated view and the corresponding QA plan can pose fundamental questions to the AM community and initiate new research efforts in the in-situ digital inspection of AM processes and parts.
Does Sociology Need Open Science?

Reliability, transparency, and ethical crises pushed many social science disciplines toward dramatic changes, in particular psychology and more recently political science. This paper discusses why sociology should also change. It reviews sociology as a discipline through the lens of current practices, definitions of sociology, positions of sociological associations, and a brief consideration of the arguments of three highly influential yet epistemologically diverse sociologists: Weber, Merton, and Habermas. It is a general overview for students and sociologists to quickly familiarize themselves with the state of sociology or explore the idea of open science and its relevance to their discipline.
Influence of rumen bypass fat fed with total mixed ration on growth performance in Nili-Ravi buffalo calves

This study was conducted to know the influence of rumen bypass fat supplement on growth performance of Nili-Ravi mal buffalo calves. Nili Ravi buffalo male calves (n=12) were randlomly selected and divided into two groups i.e., A and B based on two different levels of age. These groups (A and B) were further divided into two respective subgroups i.e., A1, A2 and B1, B2. Sub groups A1 and BI served as control (without supplement) whilst subgroups A2 and B2 were fed RBF supplement (at the rate of 2.35% of dry matter intake) with basel diet with total mixed ration. Results showed no statistical difference ( P>0.05) in dry matter intake, body weight gain and body condition score on rumen bypass fat supplementation. In blood metabolites, rumen bypass fat supplementation increased (P<0.05) blood triglyceride and cholesterol levels, however, it reduced (P<0.05) blood glucose level in Nili-Ravi buffalo male calves. This study suggests that supplementation of rumen bypass fat at the rate of 2.35% per day in TMR possess no impact on growth performance parameters in Nili Ravi buffalo male calves.
Effective Data Augmentation and Training Techniques for Improving Deep Learning in Plant Leaf Disease Recognition

Plant disease is the most common problem in agriculture. Usually, the symptoms appear on leaves of the plants which allow farmers to diagnose and prevent the disease from spreading to other areas. An accurate and consistent plant disease recognition system can help prevent the spread of diseases and save maintenance costs. In this research, we present a plant leaf disease recognition system using two deep convolutional neural networks (CNNs); MobileNetV2 and NasNetMobile. These CNN architectures are designed to be suitable for smartphones due to the models being small. We have experimented on training techniques; online, offline, and mixed training techniques on two plant leaf diseases. As for data augmentation techniques, we found that the combination of rotation, shift, and zoom techniques significantly increases the performance of the CNN architectures. The experimental results show that the most accurate algorithm for plant leaf disease recognition is NASNetMobile architecture using transfer learning. Additionally, the most accurate result is obtained when combining the offline training technique with data augmentation techniques.
Cheilectomy With or Without Cryopreserved Amniotic Membrane–Umbilical Cord Allograft for Hallux Rigidus

Background: For hallux rigidus, dorsal cheilectomy remains a treatment option even with advances in interposition techniques and devices. Cheilectomy aims to alleviate dorsal impingement and improve pain and function as well as range of motion. Cryopreserved umbilical cord allograft, with properties to mitigate inflammation and scar formation, has theoretical benefit for improving outcomes following cheilectomy. In this first prospective randomized and blinded cheilectomy study reported, we aimed to compare outcomes between cheilectomy alone and cheilectomy with umbilical cord allograft. Methods: Patients were randomized to cheilectomy alone (CA) or cheilectomy with cryopreserved umbilical cord (ie, amniotic membrane–umbilical cord [AM-UC]). Patients were evaluated with American Orthopaedic Foot & Ankle Society (AOFAS), Foot Function Index (FFI), and visual analog scale (VAS) pain outcomes collected preoperatively and at 6 months and 1 year postoperatively. In addition, radiographic range of motion data were collected using stress radiographs. Fifty-one patients (26 AM-UC, 25 CA) completed the study, with 5 bilateral surgeries in the AM-UC group and 2 in the CA group, totaling 31 and 27 feet, respectively. Results: The AM-UC group had statistically significant improved AOFAS and FFI scores at 1 year compared with the CA group, but there was no difference at 6 months. There was no significant difference between groups for VAS-pain scores at any time point, but overall VAS-pain improved in both groups from preoperative values. There was no significant difference in range of motion (total arc) between groups and changes in range of motion (total arc) in both groups from preoperative to 1 year postoperative were small. Conclusion: We present the results of the first randomized and blinded prospective study of cheilectomy surgery patients. When appropriately selected, cheilectomy remains a good option for patients with symptomatic hallux rigidus. Cryopreserved umbilical cord is a potential adjuvant to cheilectomy, with 1-year results showing improvements in functional outcome scores. Level of Evidence: Level II, prospective comparative study.
Association between self-reported empathy and level of physical activity in healthy young adults

Empathy, which consists of cognitive and affective empathy, is one of the vital skills in humans for creating and maintaining relationships with others, now, there are many empathy-deficient people, possibly deriving from an increase in harassment-related issues. Although there is a possibility that physical activity improves empathy, the association of physical activity with cognitive and affective empathy in healthy humans remains unclear. Thus, the present study aims to clarify the relationship between levels of physical activity and selfreported empathy. Eight hundred and ninety-three responses for two questionnaires, the short version of the International Physical Activity Questionnaire (SV-IPAQ) and Questionnaire of Cognitive and Affective Empathy (QCAE), were analyzed. Levels of physical activity in a usual week were measured based on the SV-IPAQ, and participants were divided into three groups: low, moderate and high physical activity. The scores for cognitive and affective empathy were measured based on QCAE. We found that people with a moderate or high physical activity level show significantly higher self-reported cognitive empathy compared to people with a low physical activity level. The score for self-reported affective empathy wasn’t affected by physical activity level. Physical activity level in a usual week showed a significant positive correlation with self-reported cognitive empathy scores, but not with self-reported affective empathy scores. Our findings imply that an increase in physical activity contributes to better cognitive empathy in healthy young adults.
A LoRa sensor network for monitoring pastured livestock location and activity1

Abstract Precision technologies for confinement animal agricultural systems have increased rapidly over the past decade, though precision technology solutions for pastured livestock remain limited. There are a number of reasons for this limited expansion of technologies for pastured animals, including networking availability and reliability, power requirements, and expense, among others. The objective of this work was to demonstrate a rapidly deployable long-range radio (LoRa) based, low-cost sensor suite that can be used to track location and activity of pastured livestock. The sensor is comprised of an inexpensive Arduino-compatible microprocessor, a generic MPU-9250 motion sensor which contains a 3-axis accelerometer, 3-axis magnetometer, and a 3-axis gyroscope, a generic GPS receiver, and a RFM95W generic LoRa radio. The microprocessor can be programmed flexibly using the open source Arduino IDE software to adjust the frequency of sampling, the data packet to send, and what conditions are needed to operate. The LoRa radio transmits to a Dragino LoRa gateway which can also be flexibly programmed through the Arduino IDE software to send data to local storage or, in cases where a web or cellular connection is available, to cloud storage. The sensor was powered using a USB cord connected to a 3,350 mAh lithium-ion battery pack. The Dragino gateway was programmed to upload data to the ThingSpeak IoT application programming interface for data storage, handling, and visualization. Evaluations showed minimal benefit associated with reducing sampling frequency as a strategy to preserve battery life. Packet loss ranged from 40% to 60%. In a 3 d evaluation on pastured sheep, the sensor suite was able to report GPS locations, inertial sensor readings, and temperature. Preliminary demonstrations of our system are satisfactory to detect animal location based on GPS data in real-time. This system has clear utility as a lower-cost strategy to deploy flexible, useful precision technologies for pasture-based livestock species.
Resilience modes of an ancient mountain valley grassland in South Africa indicated by palaeoenvironmental methods

Grassland ecosystems supporting wildlife and livestock populations have undergone significant transformation in the last millennium. Climate, herbivory, fire, and people are identified as important drivers of ecosystems dynamics; however, grassland resilience has been rarely explored in landscapes with mixed grazing histories. Here we analyse ecosystems states from a South African mountain valley grassland in the last 1250 years using palaeoenvironmental proxies. Our results suggest that a tallgrass phase maintained by climate, people and fire replaced a shortgrass phase driven by indigenous herbivores after ca. 690 cal BP. Furthermore, the tallgrass phase had unpalatable grasses and disturbed soil. We suggest these ecological changes were linked to climate change and arrival of pastoralists in the region. Therefore, our results indicate that human activities may undermine resilience of grasslands and that reversing some changes may be difficult.
Impact of postoperative complications after primary tumor resection on survival in patients with incurable stage IV colorectal cancer: A multicenter retrospective cohort study

Primary tumor resection for patients with incurable stage IV colorectal cancer can prevent tumor‐related complications but may cause postoperative complications. Postoperative complications delay the administration of chemotherapy and can lead to the spread of malignancy. However, the impact of postoperative complications after primary tumor resection on survival in patients with incurable stage IV colorectal cancer remains unclear. Therefore, this study aimed to investigate how postoperative complications after primary tumor resection affect survival in this patient group.
Fungal root endophytes influence plants in a species‐specific manner that depends on plant's growth stage

The mycobiome (fungal microbiome) influences plants—from seed germination to full maturation. While many studies on fungal‐plant interaction studies have focused on known mutualistic and pathogenic fungi, the functional role of ubiquitous endophytic fungi remains little explored. We examined how root‐inhabiting fungi (endophytes) influence range‐expanding plant species. We isolated endophytes from three European intra‐continental range‐expanders and three congenerics that are native both in the range expander's original (southern Europe) and new (northern Europe) range. To standardize our collection, endophytes were obtained from all six plant species growing under controlled conditions in northern (new range of the range expander) and southern (native range of the range expander) soils. We cultivated, molecularly identified and tested the effects of all isolates on seed germination, and growth of seedlings and older plants. Most of the 34 isolates could not be functionally characterized based on their taxonomic identity and literature information on functions. Endophytes affected plant growth in a plant species–endophyte‐specific manner, but overall differed between range‐expanders and natives. While endophytes reduced germination and growth of range‐expanders compared to natives, they reduced seedling growth of natives more than of range‐expanders. Synthesis. We conclude that endophytic fungi have a direct effect on plant growth in a plant growth stage‐dependent manner. While these effects differed between range expanders and natives, the effect strength and significance varied among the plant genera included in the present study. Nevertheless, endophytes likely influence the establishment of newly arriving plants and influence vegetation dynamics.
Activism for Migrant Domestic Workers in South Africa: Tensions in the Framing of Labour Rights

This article explores tensions in the ways in which non-governmental activism, as represented by trade unions and non-governmental organisations (NGOs), frames the concerns of migrant domestic workers (MDWs) living in South Africa. It analyses how seemingly polarised trade unions and NGOs involved in struggles on behalf of MDWs adopt singular discourses about labour rights at varying political moments to achieve their own goals. These singular frames conflate the issues around MDWs and their rights, reducing them to rigid categories of either ‘international migrants’ or ‘domestic workers’. The framing of MDWs’ concerns as international migrants’ rights issues reflects a transnational political approach that migrant-aligned trade unions and NGOs use in order to connect with pre-existing labour movement narratives and debates. This framing must contend with locally aligned trade unions and NGOs who frame international MDWs’ concerns essentially as equal to those of internal MDWs through the mantra ‘a worker is a worker’. This homogenising framing of worker struggles generates deep-seated xenophobic discourses about migrants in South Africa’s labour market which are compatible with a citizenship-based workers’ rights movement and ‘national chauvinism’. Although the mantra ought to allow every worker to stand up for their rights without risking immigration detention or deportation, locally aligned trade unions and NGOs use it to de-exceptionalise international migrants in order to appeal to a local constituency concerned about the economy being ‘overrun’ by international migrants. The article concludes that there is need for internal and international MDWs to organise themselves in ways that recognise their similarities and accommodate their differences.
Effect of normal stress on the frictional behavior of brucite: application to slow earthquakes at the subduction plate interface in the mantle wedge

Abstract. We report the results of friction experiments on brucite under both dry and wet conditions under various normal stresses (10–60 MPa ). The final friction coefficients of brucite were determined to be 0.40 and 0.26 for the dry and wet cases, respectively, independent of the normal stress. Under dry conditions, velocity-weakening behavior was observed in all experiments at various normal stresses. Under wet conditions, velocity weakening was observed at low normal stress (10 and 20 MPa ), whereas velocity strengthening was determined at a higher applied normal stress. Microstructural observations of recovered experimental samples indicate localized deformation within a narrow shear band, implying that a small volume of brucite can control the bulk frictional strength in an ultramafic setting. Among serpentinite-related minerals, weak and unstable frictional behavior of brucite under hydrated mantle wedge conditions may play a role in slow earthquakes at the subduction plate interface in the mantle wedge.
Experimental Research on the Nanoindentation of Bovine Compact Bone under Fatigue Loading

Background The role of bone fatigue damage at the nanostructural level, and its effect on fatigue properties is an understudied and important subject. An understanding of the subtler aspects of bone’s properties is crucial to understanding bone fragility caused by aging, disease, and fatigue damage. The primary strength of this study was the demonstration of the degradation of bone’s microscopic mechanical properties by nanoindentation following fatigue loading. Methods Nanoindentation was used to probe the micro-mechanical properties of bovine tibiae subjected to fatigue loading in four-point bending. Indentation tests were conducted in the same 30×120 µm region before fatigue loading and after loading to fracture. We analysed the effects of residual indentations on bone’s fatigue resistance using an optical microscope and scanning electron microscope. The mechanical properties calculated using nanoindentation were reduced modulus and hardness, the time constant based on creep, long-term creep viscosity and the dissipated work. Differences of each parameter before loading and post fracture were examined using paired t-tests. Results The morphology of the initial residual indentation before fatigue loading appeared the same as that after loading to fracture. The results show that the reduced modulus decreased significantly (p = 9.47×10− 3) by 7.62%~15.16% after fracture whereas the time constant of creep increased slightly (p = 0.049) by 2.81%~5.41%. The p-value was significantly lower (p < 0.001) for reduced modulus compared to all other mechanical properties. Conclusion Residual indents different from fatigue damage created no crack initiators that would weaken bone’s resistance to fatigue loading. Fatigue loading has the most heavy effect on bone’s reduced modulus compared to all other microscopic mechanical properties.
A tale of two regions: methane emissions from oil and gas production in offshore/onshore Mexico

We use atmospheric observations to quantify methane (CH4) emissions from Mexico’s most important onshore and offshore oil and gas production regions which account for 95% of oil production and 78% of gas production. We use aircraft-based top-down measurements at the regional and facility-levels to determine emissions. Satellite data (TROPOMI CH4 data and VIIRS night-time flare data) provide independent estimates of emissions over 2 years. Our airborne estimate of the offshore region’s emissions is 2800 kg CH4 h−1 (95% confidence interval (CI): 1700–3900 kg CH4 h−1), more than an order of magnitude lower than the Mexican national greenhouse gas inventory estimate. In contrast, emissions from the onshore study region are 29 000 kg CH4 h−1 (95% CI: 19 000–39 000 kg CH4 h−1), more than an order of magnitude higher than the inventory. One single facility—a gas processing complex that receives offshore associated gas—emits 5700 kg CH4 h−1 (CI: 3500–7900 kg CH4 h−1), with the majority of those emissions related to inefficient flaring and representing as much as half of Mexico’s residential gas consumption. This facility was responsible for greater emissions than the entirety of the largest offshore production region, suggesting that offshore-produced associated gas is being transported onshore where it is burned and in the process some released to the atmosphere. The satellite-based data suggest even higher emissions for the onshore region than did the temporally constrained aircraft data (>20 times higher than the inventory). If the onshore production region examined is representative of Mexican production generally, then total CH4 emissions from Mexico’s oil and gas production would be similar to, or higher than, the official inventory, despite the large overestimate of offshore emissions. The main driver of inaccuracies in the inventory is the use of generic, non-Mexican specific emission factors. Our work highlights the need for local empirical characterization of emissions if effective emissions mitigation is to be undertaken.
The Effectiveness of Dynamic Geometry Software Applications in Learning Mathematics: A Meta-Analysis Study

The purpose of this study was to (1) assess the impact of using Dynamic Geometry Software (DGS) on students’ mathematical abilities, (2) determine the differences in effectiveness based on study characteristics in order to help educators decide under what conditions the use of DGS would be suitable in improving students' mathematical abilities. This meta-analysis study investigates 57 effect sizes from 50 articles that have been published in journals, international and domestic proceedings from 2010 to 2020 using the Comprehensive Meta-Analysis (CMA) tool as a calculation tool. Meanwhile, the Hedges coefficient is applied to the calculation of the effect size at the 95% confidence level. Based on a random effect model with a standard error of 0.09, the analysis results have found an overall effect size of 1.07. This means that learning using DGS has a high positive effect on students' mathematical abilities. The effect size of 1.07 explains the average student who uses DGS exceeds 84% math ability of those in conventional classes that are initially equivalent. Analysis of the study characteristics found significant differences in terms of sample size, student to computer ratio, and education level. This research showed the DGS used was more effective under certain conditions. First, it is very effective in sample conditions less than or equal to 30. Second, it provides classrooms with a sufficient number of computers, allowing students to use them individually, which is required to achieve higher effectiveness levels. Third, DGS is effective in high schools and colleges than in junior high schools. These facts can help educators in deciding on the appropriate sample sizes, student to computer ratios, and future levels of education in using DGS.