Miracle-dz/UniFAR-FTUs huggingface dataset:
Chatting with GPT: Enhancing Individualized Education Program Goal Development for Novice Special Education Teachers

Novice special education teachers often face challenges in developing high-quality Individualized Education Program (IEP) goals for children with autism. The use of artificial intelligence (AI) tools, such as ChatGPT, has shown potential in supporting teachers in IEP development. This study aimed to investigate the impact of ChatGPT on the quality, content, and time spent on IEP goal development for novice special education teachers. Moreover, impact of previous training on IEP and goal development was examined. 22 novice special education teachers were randomly assigned to either the ChatGPT group or the control group. Participants developed IEP goals for five children with autism, and the quality of the goals was assessed using the Revised IEP/IFSP Goals and Objective Rating Instrument. The use of ChatGPT significantly improved the quality of IEP goals developed by novice special education teachers, regardless of previous training status. Moreover, novice teachers who used ChatGPT spent significantly less time developing IEP goals compared to those who did not use ChatGPT. Furthermore, the IEP goals developed by the ChatGPT group were more comprehensive, addressing specific strengths and needs of children with autism, in comparison to the goals developed by the control group. The findings suggest that the use of ChatGPT can be a valuable tool in supporting novice special education teachers in developing high-quality IEP goals efficiently. The study highlights the importance of providing training on IEP development and the potential benefits of AI tools in general and special education practice.
Are Overweight and Obesity Risk Factors for Developing Metabolic Syndrome or Hypertension after a Preeclamptic Event?

Objective: To identify the determinants and risks associated with developing hypertension and metabolic syndrome in the first year postpartum in women who experienced preeclampsia. Methods: A cohort study was conducted, involving women who had experienced preeclampsia (PE) recently. The control group was women with the same characteristics but a healthy pregnancy. The variables analyzed were somatometry, disease history, pre-pregnancy body mass index (Pre-BMI), and Third Adult Treatment Panel updated (ATP III) metabolic syndrome (MS) data (blood pressure, obesity, triglycerides, high-density lipoproteins, and fasting glucose). These variables were measured at 3, 6, and 12 months postpartum. Results: Women with a history of PE exhibited higher systolic and diastolic blood pressure than women without PE. The risk of developing isolated diastolic arterial hypertension at 3 and 12 months of follow-up was two to eight times greater in women with a history of PE. Factors associated with having higher blood pressure levels were preeclampsia, insulin resistance, age, and BMI. Neither the pre-BMI index nor gestational weight gain (GWG) had any effect on blood pressure in any of the three assessments. Women with preeclampsia had a 5- to 8-fold increased risk of developing MS (which could be explained not only by the history of preeclampsia but also by the history of pre-pregnancy obesity). However, PE was not identified as a risk factor at the six-month evaluation and was only explained by pre-pregnancy obesity and overweight. Conclusions: Obesity and overweight, as well as preeclampsia, were strongly associated with the development of hypertension and metabolic syndrome during the first year following childbirth.
Sprayed Earth Additive Manufacturing: A Novel Manufacturing Process for Earthen Materials

This paper describes a novel digital earthen fabrication concept referred to as Sprayed Earth Additive Manufacturing (SEAM), where earthen material is sprayed robotically with pressure in order to create a three-dimensional structure. Compared to processes based on material-extrusion, the adhesion between the sprayed layers is improved, the addition of material is controlled, and spatial flexibility is enhanced. Additionally, the possibility of adding natural fibers to the sprayed earthen mix allows enhancing the strength and the shrinkage behavior of the earthen material. The paper starts by addressing the current state of the art on reinforcement of earthen material, optimization of the spraying technique and automation in the construction process. It then demonstrates the applied methodology, early material research, explored spraying parameters such as the influence of air volume flow, nozzle velocity and nozzle to strand distance on the layer geometry and the implemented robotic fabrication setup for integrated fiber reinforced spraying. A novel concept of fiber integration, where a continuous fiber strand is chopped and added to the sprayed earthen material directly at the nozzle, was tested for the first time. Finally, the paper presents a series of the latest experimental results, reflections on the overall material reinforcement investigations and concludes with potential future explorations needed for the research.
Mapping expectations around a "governance review" exercise of a West Kimberley organisation

Introduction The term ‘governance’ relating to the management of Australian Indigenous organisations and communities became increasingly common in the late 1990s. By the early 2000s, a suite of training packages were being developed to address particular deficiencies identified as part of a new focus on capacity building in Indigenous organisations.1 The focus of such training, however, along with the considerable range of meanings associated with the term ‘governance’ itself, was wide ranging and variable in its effectiveness.2
Characterization of phenolic components of black teas of different origins and the effect of brewing duration on quality properties

Abstract This research aims to identify the phytochemical constituents of 79 different samples of black tea, including varieties from India, Iran (IrT), Turkey (TT), and Sri Lanka. In addition, this study investigates the effect of varying brewing times on the quality characteristics of tea. Therefore, we analyzed the phytochemical content of tea using a novel LC–MS/MS method that we developed, which identifies 53 different phenolic compounds. Furthermore, objective evaluations were conducted on the total phenolic compound, total flavonoid compound, antioxidant activity, and color values at 15, 30, and 60‐min brewing intervals. The prevailing phenolic compounds discovered in the corresponding tea classifications were quantitatively analyzed to be quinic acid, epicatechin gallate, epigallocatechin gallate, epicatechin, epigallocatechin, gallic acid, nicotiflorine, and isoquercitrin. The study found that the TT and IrT groups had the richest phytochemical content and the highest antioxidant activity. The Turkish tea group had the highest measurement for the desired red color, which is considered a sensory property. Infusion color, antioxidant activity, and total phenolic and flavonoid contents showed significant increases with prolonged brewing time. It was important to note that the chemical composition of tea varies according to its origin and brewing conditions. Extending the brewing time improved the quality of the tea. It should be noted, however, that longer brewing times result in a more intense release of flavonoids, and this increase may have a pro‐oxidant effect.
Advances of Nano-Enabled ZnFe2O4 Based-Gas Sensors for VOC Detection and Their Potential Applications: A Review

The demand for reliable gas sensing technologies in chemical, manufacturing, environmental, and occupational sites has increased in the last few decades following the global volatile gas sensor market, which is expected to grow further beyond 2025. Currently, several types of sensors have been employed for applications in different fields. Optical sensors are widely implemented in mining and environmental monitoring. Conventional food testing methods are utilized for the detection of any chemical or microbial agent in the food industry. Although robust and sensitive, most sensing technologies are expensive, labor-intensive, and necessitate the use of time-consuming gas sampling pretreatment steps, and these issues impede the achievement of quick, simple detection, portable, and cost-effective gas monitoring. For this reason, researchers around the world are investigating the possibility of using gas sensors as a promising technology that has the potential to alleviate industrial safety concerns. As a highly sensitive semiconducting metal oxide, gas sensors based on ZnFe2O4 have the potential to ensure environmental and occupational safety in real time. This review introduces and highlights recent developments in ZnFe2O4 gas sensors for application in different fields. The challenges limiting the wide application of the ZnFe2O4 sensor are outlined. Furthermore, this review discusses the common strategies adopted to improve the sensing properties of ZnFe2O4 for gas detection. Finally, future perspectives on further improvements of ZnFe2O4 sensing properties are discussed, and integration of ZnFe2O4 sensors into electronic noses to tackle the selectivity issue and how they can feature on the Internet of Things is outlined.
A Privacy-Aware K-Nearest Neighbor Query Scheme for Location-Based Services

The advancement of spatial positioning technology and mobile Internet makes it possible for location-based services (LBSs), which provide users with personalized services by collecting and analyzing their location information. The <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-nearest neighbor (kNN) query algorithm can be used in LBS by returning <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula> locations closest to the target location. Due to the fact that LBS involves large amounts of private information and is usually outsourced to cloud servers, privacy issues have become increasingly prominent. In order to provide LBS services in outsourced cloud environments while protecting user location privacy, a privacy-aware kNN protocol under the dual cloud server model is presented. In the proposed scheme, location-related information is encrypted using a double-trapdoor public-key encryption algorithm and stored in a <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-dimension (KD)-tree before being outsourced to cloud servers. A Euclidean distance protocol and a comparison protocol are provided as basic components to realize secure search, insertion, and deletion of the encrypted KD-tree by the cooperation of two cloud servers. Security analysis indicates that the proposed scheme ensures location and query privacy. Performance evaluation results demonstrate that the scheme is practical in terms of time and communication consumption.
Greenhouse gas dynamics in lakes receiving atmospheric nitrogen deposition

Anthropogenic nitrogen (N) inputs have been found to influence emissions of greenhouse gases from a variety of ecosystems; however, the effects of N loading on greenhouse gas dynamics in lakes are not well documented. We measured concentrations of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) in 26 lakes in the Colorado Rocky Mountains (USA) receiving elevated (5 – 8 kg N ha−1 yr−1) or low (<2 kg N ha−1 y−1) levels of atmospheric N deposition. The mean CO2 concentration in surface waters was 27 μmol L−1 and did not differ between deposition regions. The CH4 concentration was greater in low‐deposition lakes (167 nmol L−1) compared to high‐deposition lakes (48 nmol L−1), while the opposite was true for N2O. The concentration of N2O in surface water averaged 29 nmol L−1 in high‐deposition lakes compared to 22 nmol L−1 in low‐deposition lakes. Nitrous oxide is of particular interest because it is more potent than CO2 as a greenhouse gas and because of its role in the destruction of stratospheric ozone. To understand the potential magnitude of lake N2O production related to atmospheric N deposition, we applied two published methodologies for determining emissions from aquatic ecosystems to available data sets. We estimated contemporary global N2O emissions from lakes to be 0.04 – 2 Tg N y−1, increasing to 0.1 – 3.4 Tg N y−1 in 2050. The contemporary estimates represent 13–95% of emissions from rivers and estuaries, suggesting that further research is required to better quantify emission rates from lentic ecosystems.
Climate warming and bumble bee declines: the need to consider sub-lethal heat, carry-over effects, and colony compensation

Global declines in abundance and diversity of insects are now well-documented and increasingly concerning given the critical and diverse roles insects play in all ecosystems. Habitat loss, invasive species, and anthropogenic chemicals are all clearly detrimental to insect populations, but mounting evidence implicates climate change as a key driver of insect declines globally. Warming temperatures combined with increased variability may expose organisms to extreme heat that exceeds tolerance, potentially driving local extirpations. In this context, heat tolerance limits (e.g., critical thermal maximum, CTmax) have been measured for many invertebrates and are often closely linked to climate regions where animals are found. However, temperatures well below CTmax may also have pronounced effects on insects, but have been relatively less studied. Additionally, many insects with out-sized ecological and economic footprints are colonial (e.g., ants, social bees, termites) such that effects of heat on individuals may propagate through or be compensated by the colony. For colonial organisms, measuring direct effects on individuals may therefore reveal little about population-level impacts of changing climates. Here, we use bumble bees (genus Bombus) as a case study to highlight how a limited understanding of heat effects below CTmax and of colonial impacts and responses both likely hinder our ability to explain past and predict future climate change impacts. Insights from bumble bees suggest that, for diverse invertebrates, predicting climate change impacts will require a more nuanced understanding of the effects of heat exposure and additional studies of carry-over effects and compensatory responses by colonies.
Plant-Associated Representatives of the Bacillus cereus Group Are a Rich Source of Antimicrobial Compounds

Seventeen bacterial strains able to suppress plant pathogens have been isolated from healthy Vietnamese crop plants and taxonomically assigned as members of the Bacillus cereus group. In order to prove their potential as biocontrol agents, we perform a comprehensive analysis that included the whole-genome sequencing of selected strains and the mining for genes and gene clusters involved in the synthesis of endo- and exotoxins and secondary metabolites, such as antimicrobial peptides (AMPs). Kurstakin, thumolycin, and other AMPs were detected and characterized by different mass spectrometric methods, such as MALDI-TOF-MS and LIFT-MALDI-TOF/TOF fragment analysis. Based on their whole-genome sequences, the plant-associated isolates were assigned to the following species and subspecies: B. cereus subsp. cereus (6), B. cereus subsp. bombysepticus (5), Bacillus tropicus (2), and Bacillus pacificus. These three isolates represent novel genomospecies. Genes encoding entomopathogenic crystal and vegetative proteins were detected in B. cereus subsp. bombysepticus TK1. The in vitro assays revealed that many plant-associated isolates enhanced plant growth and suppressed plant pathogens. Our findings indicate that the plant-associated representatives of the B. cereus group are a rich source of putative antimicrobial compounds with potential in sustainable agriculture. However, the presence of virulence genes might restrict their application as biologicals in agriculture.
Preparing Medical and Nursing Students for Interprofessional Feedback Dialogues

Background: In healthcare education, preparing students for interprofessional feedback dialogues is vital. However, guidance regarding developing interprofessional feedback training programs is sparse. In response to this gap, the Westerveld framework, which offers principles for interprofessional feedback dialogue, was developed. Approach: Using the Westerveld framework, we developed and implemented an interprofessional feedback intervention for 4th-year nursing and 5th-year medical students. It encompasses two half-day workshops comprising small group sessions, interactive lectures, and a goal-setting assignment for the rotations. This paper describes the intervention and reflects on students’ self-reported goals, as learning outcomes, to inform future interprofessional feedback dialogue education. Outcomes: To understand student’s learning outcomes, we coded the content and specificity of 288 responses to the goal-setting assignment. Students indicated they mainly aimed to improve their feedback actionability, but contrastingly set – largely unspecific – goals, addressing the initiation of feedback dialogues. To better understand the process of setting these goals, we held three focus groups (N = 11): aside from the Westerveld framework, students used previous experience in rotations, outcome expectations, and personal characteristics as sources in their goal-setting process. Reflection: The contrast between students’ aims to improve their actionability and their goals to initiate dialogues, suggests that overcoming practice barriers to initiating dialogues are conditional to developing other feedback dialogue aspects. These and other goal conflicts in the workplace may hinder them setting specific feedback dialogue goals. We recommend explicit discussion of these challenges and conflicts in interprofessional feedback dialogue education.
Research progress on carcinogenicity of nickel and its compounds

Nickel,as one of the most abundant elements in earth's crust,is widely distributed in environment and used in industrial production,therefore extensively permeates to human daily life.Since the elevated lung cancer incidence among the nickel-refinery workers in Clydach,South Wales was reported,the carcinogenicity associated with the exposure of nickel and its compounds greatly interested public attention and the study has been done deeply and deeply.In this paper,the recent epidemiological and toxicological evidences about the carcinogenicity of nickel and its compounds exposure were reviewed for offering more comprehensive assessment on it.
LA GESTIÓN DEL CONOCIMIENTO EN LA IMPLANTACIÓN DE LA METODOLOGÍA DEL NUEVO ESPACIO EUROPEO DE LA EDUCACIÓN SUPERIOR: EL CASO DE LA ULL. +

This paper tries to determine the measurement in which the knowledge management takes part in the implantation of the new European Space of High Education methodology in the University of La Laguna. To this end, it part of the data of the surveys made to the students of one of the canters welcomed in the pilot projects, initiative that the ULL has developed for its incorporation to the new European system. The application of the of Rasch model, allows us to hierarchize the more and less excellent variables of the new methodology, the limitations of the measurement instrument, as well as to suggest new proposals, all it within the framework of the knowledge management strategies.
Mycobacterium tuberculosis Rv0928 protein facilitates macrophage control of mycobacterium infection by promoting mitochondrial intrinsic apoptosis and ROS-mediated inflammation

Macrophages are the main target cells for Mycobacterium tuberculosis (Mtb) infection. Previous studies have shown that Mtb actively upregulates phosphorus transport proteins, such as Rv0928 protein (also known as PstS3), to increase inorganic phosphate uptake and promote their survival under low phosphorus culture conditions in vitro. However, it is unclear whether this upregulation of PstS3 affects the intracellular survival of Mtb, as the latter is also largely dependent on the immune response of infected macrophages. By using Rv0928-overexpressing Mycobacterium smegmatis (Ms::Rv0928), we unexpectedly found that Rv0928 not only increased apoptosis, but also augmented the inflammatory response of infected macrophages. These enhanced cellular defense mechanisms ultimately led to a dramatic reduction in intracellular bacterial load. By investigating the underlying mechanisms, we found that Rv0928 interacted with the macrophage mitochondrial phosphate carrier protein SLC25A3, reduced mitochondrial membrane potential and caused mitochondrial cytochrome c release, which ultimately activated caspase-9-mediated intrinsic apoptosis. In addition, Rv0928 amplified macrophage mitochondrial ROS production, further enhancing pro-inflammatory cytokine production by promoting activation of NF-κB and MAPK pathways. Our study suggested that Mtb Rv0928 up-regulation enhanced the immune defense response of macrophages. These findings may help us to better understand the complex process of mutual adaptation and mutual regulation between Mtb and macrophages during infection.
Efecto de los partidos de pretemporada en la planificación deportiva: Variabilidad en las sesiones de entrenamiento

espanolEl objetivo de este estudio fue conocer en que medida influyen los partidos de futbol y su distribucion durante una pretemporada en la planificacion del entrenamiento. Para ello, 21 jugadores semi-profesionales masculinos (20.9 ± 1.7 anos; 1.8 ± 0.05 m.; 73.1 ± 5.3 kg.; 8 ± 0.9 % graso; VO2max. 56.06 ± 2.68 ml./kg./min.) participaron en este estudio. Las variables analizadas durante los partidos fueron: la distancia total recorrida; la velocidad media y maxima; la intensidad de juego clasificada segun su velocidad en varias zonas: carrera (14-19 km./h.), carrera intensa (19-24 km./h.) y sprint (>24 km./h.); asi como la carrera a alta intensidad (sumatorio de la carrera, carrera intensa y sprint). Tras analizar la carga externa de los 6 microciclos que componian la pretemporada se ha podido observar que la distribucion y el numero de partidos de futbol durante una pretemporada han podido influir en la planificacion de las sesiones de entrenamiento. Por tanto, se deberia prestar especial atencion al diseno del volumen e intensidad de la primera y ultima semana de entrenamiento, evitando, por un lado, cualquier situacion lesiva que pudiera apartar al jugador de las sesiones de entrenamiento y, por otro lado, evitar la fatiga acumulada durante el periodo preparatorio ya que podria provocar un descenso del rendimiento al comienzo de la temporada debido a la seleccion de tareas, al numero de partidos disputados y al escaso tiempo de recuperacion durante el periodo preparatorio. EnglishThe aim this study was to determine the extent of the influence of football matches and their distribution during a pre-season training programme planning. For this purpose, 21 male semi-professional players (20.9 ± 1.7 years; 1.8 ± 0.05 m.; 73.1 ± 5.3 kg.; 8 ± 0.9% fat; VO2max. 56.06 ± 2.68 ml./kg./min.) participated in this study. The variables analysed during the matches were: total distance covered; average and maximum speed; game intensity classified in several speeds: running (14-19 km./h.), high intensity running (19-24 km./h.) and sprinting (> 24 km./h.); and distance at high intensity (sum of running, high intensity running and sprinting). After analysing the external load of the 6 microcycles and 9 matches composing the pre-season, we have observed that the distribution and the number of football matches during a pre-season have influenced the training sessions planning. Therefore, special attention should be paid to the design of the volume and intensity of the first and last week of training, avoiding on the one hand, any harmful situation that could take the player apart from the training sessions and on the other hand, avoid the accumulated fatigue during the preparatory period, as it may cause a drop in performance at the beginning of the season due to the selection of tasks, the number of matches and the limited recovery time during the preparatory period.