Miracle-dz/UniFAR-FTUs huggingface dataset:
Describing Characteristics and Differences of Neutrophils in Sepsis, Trauma, and Control Patients in Routinely Measured Hematology Data

Neutrophils have an important role in the immune response. These cells can be subjected to an impaired function and a shift in population depending on disease states. In sepsis, this shift is recognized and flagged by automated hematology analyzers, including the presence of band neutrophils, while these cells, although present, appear not to be detected in trauma patients. To better understand this suspected error in flagging, we set out to distinguish neutrophil populations of these two patient groups and compared these with controls. Different data-driven methods were used compared to standard algorithms used by the software of the analyzers. Using K-means clustering, we extracted neutrophils from raw hematology analyzer datafiles, and compared characteristics of these clusters between the patient groups. We observed an increased neutrophil size for both sepsis and trauma patients, but trauma patients had a smaller increase. Trauma patients also had a high proportion of cells with relatively high nuclear segmentation, which is contradictory with the presence of band neutrophils. This, in combination with the smaller size increase, might explain the inability to flag band neutrophils in trauma.
Nursing Care Systematization with Case-Based Reasoning and Artificial Intelligence

Of the most popular applications of artificial intelligence (AI), those used in the health sector are the ones that represent the largest proportion, in terms of use and expectation. An investigative systematization model is proposed in the scientific training of nursing professionals, by articulating epistemological positions from previous studies on the subject. In order to validate the model proposed, a prototype was created to present an application that could help nurses in their clinical processes, storing their experiences in a case base for future research. The prototype consisted of digitizing paediatric nursing diagnoses and inserting them into a case base in order to assess the effectiveness of the prototype in handling these cases in a structure conducive to retrieval, adaptation, indexing, and case comparison. This work presents as a result a computational tool for the health area, employing one of the artificial intelligence techniques, case-based reasoning (CBR). The small governmental nursing education institution in Bangladesh used in this study did not yet have the systemization of nursing care (NCS) and computerized support scales.
Multi-Response Optimization of Al2O3 Nanopowder-Mixed Wire Electrical Discharge Machining Process Parameters of Nitinol Shape Memory Alloy

Shape memory alloy (SMA), particularly those having a nickel–titanium combination, can memorize and regain original shape after heating. The superior properties of these alloys, such as better corrosion resistance, inherent shape memory effect, better wear resistance, and adequate superelasticity, as well as biocompatibility, make them a preferable alloy to be used in automotive, aerospace, actuators, robotics, medical, and many other engineering fields. Precise machining of such materials requires inputs of intellectual machining approaches, such as wire electrical discharge machining (WEDM). Machining capabilities of the process can further be enhanced by the addition of Al2O3 nanopowder in the dielectric fluid. Selected input machining process parameters include the following: pulse-on time (Ton), pulse-off time (Toff), and Al2O3 nanopowder concentration. Surface roughness (SR), material removal rate (MRR), and recast layer thickness (RLT) were identified as the response variables. In this study, Taguchi’s three levels L9 approach was used to conduct experimental trials. The analysis of variance (ANOVA) technique was implemented to reaffirm the significance and adequacy of the regression model. Al2O3 nanopowder was found to have the highest contributing effect of 76.13% contribution, Ton was found to be the highest contributing factor for SR and RLT having 91.88% and 88.3% contribution, respectively. Single-objective optimization analysis generated the lowest MRR value of 0.3228 g/min (at Ton of 90 µs, Toff of 5 µs, and powder concentration of 2 g/L), the lowest SR value of 3.13 µm, and the lowest RLT value of 10.24 (both responses at Ton of 30 µs, Toff of 25 µs, and powder concentration of 2 g/L). A specific multi-objective Teaching–Learning-Based Optimization (TLBO) algorithm was implemented to generate optimal points which highlight the non-dominant feasible solutions. The least error between predicted and actual values suggests the effectiveness of both the regression model and the TLBO algorithms. Confirmatory trials have shown an extremely close relation which shows the suitability of both the regression model and the TLBO algorithm for the machining of the nanopowder-mixed WEDM process for Nitinol SMA. A considerable reduction in surface defects owing to the addition of Al2O3 powder was observed in surface morphology analysis.
A Statistical Technique for Medium Range Forecasting of of Rainfall over Calcutta during the Southwest Monsoon Season

An objective procedure for predicting the rainfall of Calcutta during each of the 5-period of the monsoon season has been evolved. The technique is the same as was developed by Jagannathan and Ramamurthi (1961) for the prediction of 5-day rainfall at Bombay. The daily rainfall data of Alipore (Calcutta) for the period 1921, to 1950 were used for the classification of the rainfalls. The technique was evolved on the base of available Indian radiosonde data for 1950 to 1958 and tested on the basis of independent data for 1959 to 1961. This has shown a skill score of 0.46. Besides the study has revealed the close relationship between the topography of the 700 and 500mb pressure surfaces over India and the subsequent pentad rainfall over Calcutta particularly during the monsoon season.
Sensing Control Parameters of Flute from Microphone Sound Based on Machine Learning from Robotic Performer

When learning to play a musical instrument, it is important to improve the quality of self-practice. Many systems have been developed to assist practice. Some practice assistance systems use special sensors (pressure, flow, and motion sensors) to acquire the control parameters of the musical instrument, and provide specific guidance. However, it is difficult to acquire the control parameters of wind instruments (e.g., saxophone or flute) such as flow and angle between the player and the musical instrument, since it is not possible to place sensors into the mouth. In this paper, we propose a sensorless control parameter estimation system based on the recorded sound of a wind instrument using only machine learning. In the machine learning framework, many training samples that have both sound and correct labels are required. Therefore, we generated training samples using a robotic performer. This has two advantages: (1) it is easy to obtain many training samples with exhaustive control parameters, and (2) we can use the correct labels as the given control parameters of the robot. In addition to the samples generated by the robot, some human performance data were also used for training to construct an estimation model that enhanced the feature differences between robot and human performance. Finally, a flute control parameter estimation system was developed, and its estimation accuracy for eight novice flute players was evaluated using the Spearman’s rank correlation coefficient. The experimental results showed that the proposed system was able to estimate human control parameters with high accuracy.
Advanced Computing Methods for Impedance Plethysmography Data Processing

In this paper we are introducing innovative solutions applied in impedance plethysmography concerning improvement of the rheagraph characteristics and the efficiency increase of the developing rheograms using computer methods. The described methods have been developed in order to ensure the stability of parameters and to extend the functionality of the rheographic system based on digital signal processing, which applies to the compensation of the base resistance with a digital potentiometer, digital synthesis of quadrature excitation signals and the performance of digital synchronous detection. The emphasis was put on methods for determination of hemodynamic parameters by computer processing of the rheograms. As a result–three methods for respiratory artifacts elimination have been proposed: based on the discrete cosine transform, the discrete wavelet transform and the approximation of the zero line with spline functions. Additionally, computer methods for physiological indicators determination, including those based on wavelet decomposition, were also proposed and described in this paper. The efficiency of various rheogram compression algorithms was tested, evaluated and presented in this work.
Digitally Mediated Mobilization in South Korea: Women’s March and Collective Identity Building Online

This paper explores collective identity building in a feminist online community that in 2018 organized the largest women’s march in South Korean history. Drawing on qualitative and quantitative content analyses of the community’s bulletin boards, this study describes the process through which members of the community developed their cognitive boundaries and their interactional and emotional connections with one another. My finding shows that the language used in the community shifted over time as the participants came to distinguish themselves from other preexisting feminist communities. I argue that protocols set by the leadership team of this online community played an important role in collective identity construction by providing guidelines for boundary drawing and by promoting positive interactions among members. My research also discusses how this leadership operated as “hidden leaders” in shaping collective identity, by navigating the definition of “us” in the context of Korean feminism and encouraging solidarity building among anonymous participants.
Evaluation of Hydrogen Permeation into High-Strength Steel during Corrosion in Different Marine Corrosion Zones

Hydrogen permeation into high-strength steel during the corrosion process can deteriorate their mechanical properties, thus seriously threatening the safety of steel structures. However, the hydrogen permeation behavior of steels in corrosive marine environments is not well understood. In this study, the hydrogen permeation behavior and mechanism of AISI 4135 steel in different marine corrosion zones was investigated for the first time using an in situ hydrogen permeation monitoring system via outdoor and indoor tests. The three-month outdoor hydrogen permeation test showed that the diffusible hydrogen content of the steels exposed to the marine atmospheric, splash, tidal and immersion zone was 3.15 × 10−3, 7.00 × 10−2, 2.06 × 10−2 and 3.33 × 10−2 wt ppm, respectively. Meanwhile, results showed that the hydrogen permeation current density was positively correlated with the corrosion rate of the steel in the marine environments. This research is of great significance for guiding the safe application of high-strength steel in the marine environments.
Researches on application of TMD to seismic control

Based on the time history analysis of structural seismic response, this paper provides a new idea to determine the optimal parameters of tuned mass damper for reducing seismic re sponse.Design of dampers for multi-degree-of-freedom systems and the effect of detuning of damper parameters are investigated. A numerical simulation is used to test the effect of the tuned mass damper designed according to this idea for structural seismic response control.
Effect of supplementing sows with Solanum glaucophyllum,
a natural source of calcitriol, on farrowing performance,
piglet survival and litter performance

The number of piglets weaned per sow per year is a main determinant of the performance of breeding sows. Consequently, the genetic progress in pigs is connected with the success in breeding larger litter sizes. With increasing average litter size in the sow population, the economic weight of litter size diminishes and that of piglet survival at farrowing and during nursing increases (Quinton et al., 2006). At the same time, farrowing duration and expulsion interval between piglets may increase, which has been related to a greater occurrence of stillborn piglets (Udomchanya et al., 2019). However, means to shorten the duration of parturition do not always support piglet survival. For instance, the injection of oxytocin may, indeed, shorten the farrowing duration but this does not guarantee a concomitant reduction in the occurrence of stillborn piglets (Udomchanya et al., 2019). In order to increase survival rates of piglets before and after birth, empirical managerial improvements like the use of farrowing crates, optimal sow fitness at farrowing and the use of rescue desks are useful. These measures could be supported by supplementing the diet of the sows with ingredients that facilitate the farrowing process and support piglet vitality and growth. ABSTRACT. Survival of piglets until weaning is a major contributor to the rentability of pig production systems. Large litters are often associated with complications and prolongation of the farrowing duration causing piglet mortality. The vitamin D status of the pregnant female is known to play a role in parturition problems. The present experiment investigated the effect of Solanum glaucophyllum in the diet of sows on farrowing duration and progeny survival and growth. Solanum glaucophyllum was distributed in a feed supplement to gestating sows from one week before farrowing until weaning of the piglets. Control sows received the same feed supplement but without S. glaucophyllum. Sows at an earlier gestation stage and piglets did not receive S. glaucophyllum. From 108 farrowing events and litters, on average 14.3 total born and 12.7 liveborn piglets were observed. Solanum glaucophyllum had no positive effect on the farrowing duration (222 vs. 219 min for experimental vs. control sows, respectively), average piglet expulsion interval (17.2 vs. 17.3 min), piglet vitality at birth, piglets death during nursing (2.03 vs. 1.74 piglets/litter) and piglets average daily gains (both 274 g). The proportion of stillborn piglets was even higher in sows receiving S. glaucophyllum than in control ones. Nevertheless, further studies on hyperprolific sows having no access to direct sunlight and with diets clearly deficient in either vitamin D or calcium are needed to show whether S. glaucophyllum is effective in parturient sows or not. Received: 16 November 2021 Revised: 27 January 2022 Accepted: 10 February 2022
Exploring parent and coach relationships in youth sport: A qualitative study

ABSTRACT Extensive research recognises the complex and often conflictual nature of parents and coaches involvement in youth sport. There are very few accounts that deeply explore the nature of parent and coach relationships in the current stock of literature, even less so from a sociocultural perspective. This is significant given that the behaviours of parents and coaches can determine youth athletes’ enjoyment, motivation, and psychosocial development within sport. As such, this study sought to understand how parent and coach relationships develop in an Australian youth sport context. Based on qualitative data collected from semi-structured interviews with parents (n = 10) and coaches (n = 10) in South Australia, four main themes were developed including the importance of credentials, the intermediary role, sharing goals, values, and expectations, and managing relational boundaries. The key findings suggest that parent and coach relationships are developed and shaped by broader aspects of society and culture, and beyond social exchanges with one another. It was found that this type of relationship is developed and maintained by wider discourses, historical and cultural specificity, and forms of language that reinforce a contemporaneous meaning and significance of parent and coach interactions.
Lecture notes on shear and friction force detection with quartz tuning forks

Quartz Tuning forks have been in recent years successfully implemented in force detection schemes for scanning probe microscopy applications. In this review paper the basic operation of a quartz tuning fork as a shear and friction force sensor is presented. We concentrate in particular on the in-plane flexure mode of the fork structure. The signal detection of the weak piezoelectric signal is discussed. The calibration of the signal to pN levels shear and friction force is presented. This lecture explores in particular the thermodynamic limits of the use of quartz tuning forks as force detector in scanned probe microscopy. It will also be shown that conventional proportional-integral feedback control yields closed loop responses up to two orders of magnitude faster than their open loop. When properly operated, the shear and friction force sensor allows to detect a sample surface at distances of few nanometers away from it. It does this in a truly non-contact way as opposed to what has been reported in the literature. This non contact tip-sample shear and friction force interaction is found to persist under high vacuum conditions or at low temperatures (4.2K). The origin of this interaction the time of writing not yet understood. As an example of this, non contact shear and friction force measurements between a gold tip and an atomically flat highly oriented pyrolithic graphite in high vacuum (~ 10 -7 mbar) are systematically done as a function of the tip-sample separation. -(Munich March 17th, 2000)
Students’ cognitive processes in L1 and L2 translation: Evidence from a keystroke logging program

ABSTRACT Over the past few years, many studies have examined the cognitive processes of students when translating texts from one language to another. However, little is known about the cognitive processes of Arab translators when translating texts from their heritage language into English. This study aims to track the cognitive processes of students as indicated by their pauses when translating two texts from Arabic into English, and vice versa. To this end, 26 Arab native students were asked to translate medical text from English into Arabic and a literary text from Arabic into English. Data on these students’ behaviour were collected using a keystroke logging programme Inputlog.07, a screen recording software and a stimulated recall interview. Results from quantitative data suggest that these students paused longer at word boundaries than between sentences, and their pauses within-words were significantly shorter when translating English into Arabic, indicating that their main concerns are on the low-cognitive level such as lexis, grammar, and spelling errors. Meanwhile, results from qualitative data suggest that these students pause when facing difficulties in understanding English text, were striving to accommodate the equivalent terms in the foreign language, and were struggling with their spelling when translating Arabic into English.
Evolution of Technologies for Cadmium Remediation and Detoxification

Heavy metal pollution is one of the most serious global environmental concerns. As a result, the current research includes an overview of technologies that are being developed for remediating or eliminating such contaminants from the environment, such as physical and chemical approaches, as well as their ineffectiveness. A wide range of minute species was discovered for their potential to tolerate, resist, accumulate and absorb heavy metals. But they all are naturally occurring species and need optimal conditions as well as a longer duration to grow. Thus, there is a need for more reliable, efficient, and productive techniques to address the issue. The use of nanoparticles for remediation has paved the way for more research in this subject and the development of useful technology to cope with problems. The evolution of technologies for heavy metal remediation, particularly cadmium, is discussed in this article because it is one of the most hazardous heavy metals that necessitates immediate attention.
Exosomal FZD-7 Expression Is Modulated by Different Lifestyle Interventions in Patients with NAFLD

Non-alcoholic fatty liver disease (NAFLD) is a multifactorial condition characterized from hypertriglyceridemia and hepatic fat accumulation, in the absence of alcohol intake. NAFLD starts as steatosis (NAFL), and the continued injury relative to the toxic fat induces inflammation, steatohepatitis (NASH), and HCC. One of the factors determining liver degeneration during the evolution of NAFLD is a modification of Wnt/Frizzled (FZD) signaling. In particular, an inhibition of Wnt signaling and an overexpression of a specific FZD receptor protein, namely, the FZD7, have been observed in NAFLD. Actually, the prognosis and the follow-up of NAFLD is not easy, and the liver biopsy is the gold standard for an accurate detection of liver fibrosis. In this study, the modulation of the FZD7 expression levels in plasma-derived exosomes of NAFLD-affected patients, before and after specific lifestyle interventions, were experimentally evaluated by Western blotting analysis. The experimental data were analyzed by an accurate statistical study that indicated, in the exosomes derived from plasma of NAFLD patients with moderate or severe steatosis, an average expression level of FZD7 that was significantly higher than healthy subjects at baseline; conversely, the values were normalized after 90 days of specific lifestyle interventions. The overall results suggested that the FZD7 delivered by exosomes represents a good candidate as a new and effective biomarker for diagnosis and prognosis of NAFLD.
Genoarchitecture of the Early Postmitotic Pretectum and the Role of Wnt Signaling in Shaping Pretectal Neurochemical Anatomy in Zebrafish

The pretectum has a distinct nuclear arrangement and complex neurochemical anatomy. While previous genoarchitectural studies have described rostrocaudal and dorsoventral progenitor domains and subdomains in different species, the relationship between these early partitions and its later derivatives in the mature anatomy is less understood. The signals and transcription factors that control the establishment of pretectal anatomy are practically unknown. We investigated the possibility that some aspects of the development of pretectal divisions are controlled by Wnt signaling, focusing on the transitional stage between neurogenesis and histogenesis in zebrafish. Using several molecular markers and following the prosomeric model, we identified derivatives from each rostrocaudal pretectal progenitor domain and described the localization of gad1b-positive GABAergic and vglut2.2-positive glutamatergic cell clusters. We also attempted to relate these clusters to pretectal nuclei in the mature brain. Then, we examined the influence of Wnt signaling on the size of neurochemically distinctive pretectal areas, using a chemical inhibitor of the Wnt pathway and the CRISPR/Cas9 approach to knock out genes that encode the Wnt pathway mediators, Lef1 and Tcf7l2. The downregulation of the Wnt pathway led to a decrease in two GABAergic clusters and an expansion of a glutamatergic subregion in the maturing pretectum. This revealed an instructive role of the Wnt signal in the development of the pretectum during neurogenesis. The molecular anatomy presented here improves our understanding of pretectal development during early postmitotic stages and support the hypothesis that Wnt signaling is involved in shaping the neurochemical organization of the pretectum.