Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Sleep Quality on Pain in Chilean Individuals with Musculoskeletal Disorders

Poor sleep quality (SQ) negatively affects pain associated with musculoskeletal disorders (MSD). As the level of economic development of a country determines its sanitary conditions, these can influence the sleep–pain relationship; therefore, it is relevant to generate evidence in the population with MSD in developing countries. This cross-sectional study sought to determine the effect of poor SQ on pain in Chilean individuals with MSD, controlling for sex and duration of pain (in months). Method: A total of 228 individuals were included. SQ was measured with the Pittsburg Sleep Quality Index (PSQI), pain (intensity, interference and distress relative to pain) was measured with visual analog scales. Structural equation modeling (SEM) was performed to analyze the effect of SQ on pain. Results: A high frequency of poor SQ was present in the studied group, and was more prevalent in women. The SEM model evidenced that poor SQ predicts greater pain. Sex influences sleep quality and pain, but not pain duration. Conclusions: These findings indicate that poor SQ predicts higher pain in MSD and that women exhibit worse SQ and more significant pain than men. Our findings support that SQ should be considered in the comprehensive approach to pain in individuals with MSD.
Antennas and propagation for body area networks at 60 GHZ

The advent of wireless body area networks (WBANs) and their use in a wide range of applications from consumer electronics to military purposes, dictates the need to investigate to the behaviour of antennas and wave propagation on the body in depth. Although this area has been extensively studied in the past decade, some issues are still not satisfactorily solved for communication systems for WBANs at ISM bands and UWB such as compact and high efficiency antenna design, privacy and security, interference mitigation and achieving high data rates. This thesis proposed an alternative wireless solution for body area networks by adopting 60 GHz radio. On-body channels at 60 GHz have been characterised using monopole and horn antennas. Horn antennas achieve significantly improved path gain in the stable channels but are susceptible to shadowing in the mobile channels due to body movements. However, interference mitigation and covertness for 60 GHz WBANs at the physical layer are improved due to high attenuation of 60 GHz signals. Significant increase of carrier-to-interference ratio is observed for 60 GHz WBANs compared to 2.45 GHz. A model of estimating the maximum detection distance at a threshold probability for detecting a WBAN wearing soldier in a battlefield is proposed. Fixed-beam directional antennas and reconfigurable antennas are designed for 60 GHz WBANs and channel measurements using these antennas are conducted. Results show beam-reconfigurability of the antenna improves the link performance compared to fixed-beam antennas at 60 GHz.
A COMPARISON CMJ, SIMULATED AND SWIMMING GRAB-START FORCE RECORDINGS AND THEIR RELATIONSHIPS WITH THE START PERFORMANCE

Assuming that the forces recorded during the CMJ are related to the muscular leg force and power, the aim of our study is to investigate why in previous studies these recorded forces were not correlated with the forces recorded during the swimming start. A simulated start was recorded on land to try to find if a more similar jumping technique, showed a force related to the swimming start variables. To isolate the start variables in comparison to our previous studies, the swimmer performed only a gliding displacement until 10 m after the water entry without any type of propulsive underwater movements in our present study. We found no difference from the results of previous studies in spite of including simulated grab-start recordings in the lab. Only the horizontal force n the swimming start correlated to five-metre time and the first five-metre mean velocity. The difference and non-relationships when the swimmer applies force against gravity or with gravity have still not resolved.
DETERMINATION OF RESIDUAL METHYL IODIDE IN TEDIZOLID PHOSPHATE AND ALOGLIPTIN BENZOATE BY STATIC HEADSPACE GAS CHROMATOGRAPHY WITH ELECTRON CAPTURE DETECTION

Methyl iodide has been highlighted as a potential genotoxic impurity (PGI). A sensitive HS-GC method with ECD was developed and validated for the determination of methyl iodide impurity in Tedizolid phosphate, an active pharmaceutical ingredient. HS-GC method on DB-624,column 60m X 0.53mm, film thickness 3μm, with electron capture detector (ECD) was used. The proposed method was specific, linear, accurate, rugged and precise. The calibration curves showed good linearity over the concentration range of 0.78 μg/g to 11.7 μg/g and the correlation coefficient was 0.997. Method had very low limit of detection (LOD) and limits of quantification (LOQ) are 0.23 μg/g and 0.78 μg/g, respectively, with respect to test concentration. Accuracy was observed within the range 96.0% to 103.2%. This method is a further extended good quality control tool for low level quantitation of methyl iodide impurity in another API, alogliptin benzoate.
Clinical, laboratory and instrumental indicators in patients who have undergone COVID-19

280 patients with COVID-19 were examined (average age 53.9±8.1 years; gender index 1.37:1.0 (162 men and 118 women). It was revealed that young people (especially women) were more common with a mild course of the disease (64.2%), middle – aged people-with a moderate-severe variant of COVID-19 (54.8%), In the group of patients with a severe course of coronavirus infection, female patients prevailed among the elderly, and among middle –aged men – 47.8% and 48.4%, respectively. The comorbid background before the disease CAVID-19 and the neurological complications that appeared on the background of CAVID-19 in the percentage ratio prevailed in males. There were no significant differences in the frequency of complications from the severity of the COVID-19 disease. It was revealed that at the time of hospitalization, all the studied markers of coagulation activity were changed and statistically significantly differed from the reference interval, which indicated the activation of the procoagulation potential. In the group of female patients, these indicators were more pronounced. CT examination revealed that the percentage of damage to both lungs was significantly higher in female patients compared to male patients.
Using Augmented Reality and Modified Schema-Based Instruction to Teach Problem Solving to Students With Autism

Young adults with autism spectrum disorder (ASD) need both academic and social skills required to apply acquired knowledge and skills in real-world settings. This study evaluated the effects of a multicomponent intervention incorporating both Modified Schema-Based Instruction (MSBI) and video-based instruction delivered via augmented reality (AR) to teach the social and mathematical problem-solving skills needed to execute personal finance tasks in the community. Participants were four 21-year-old young adults with ASD enrolled in a public school transition program located on the campus of a technical college. Findings of the single-case multiple probe across participant design support a functional relationship between the multicomponent treatment package and the social and mathematical problem-solving skills of the young adults with ASD. Furthermore, participants were also able to self-correct errors after watching AR-triggered model videos. Generalization to a novel setting was tested. Results, implications, and suggestions for future research are discussed
The crystal structure of magnesite

The crystal structure of synthetic magnesite has been studied by X-ray and infrared methods Magnesitl is trigonal R3c, with a : 4.637 A, c : 15.O23 A, and, Z : 6. Intensity data were collected with a Rigaku automated diffractometer and MoKa radiation. The structure was refined by the fullmatrix least-squares method using anisotropic thermal parameters. The final R index for 234 teflections is 0.037. The C-O and Mg-O bond lengths were 1.283 and 2.105 A, respectively. The interatomic angles of three kinds of O-Mg-O were 88.25, 91.75 and 180.000, respectively. It is clarified that the distortion of the Mg-Oo octahedron in magnesite is smaller than that of Ca-Oe in calcite. The force constants of the Urey-Bradley force field were calculated from the infrared absorption frequencies. For magnesite the stretching force constant K : 5.41, the bending force constant II : 0.46, the repulsive force constant F : 1.97, and the force constant for the out-of-plane vibratirtn i i : o. i j -Jta. Forcalcite theyareK : 5.51,H : 0.38, F : 1.88 and fo : o.64md/A'
A Continuous Blood Pressure Estimation Method Using Photoplethysmography by GRNN-Based Model

Compared with diastolic blood pressure (DBP) and systolic blood pressure (SBP), the blood pressure (BP) waveform contains richer physiological information that can be used for disease diagnosis. However, most models based on photoplethysmogram (PPG) signals can only estimate SBP and DBP and are susceptible to noise signals. We focus on estimating the BP waveform rather than discrete BP values. We propose a model based on a generalized regression neural network to estimate the BP waveform, SBP and DBP. This model takes the raw PPG signal as input and BP waveform as output. The SBP and DBP are extracted from the estimated BP waveform. In addition, the model contains encoders and decoders, and their role is to be responsible for the conversion between the time domain and frequency domain of the waveform. The prediction results of our model show that the mean absolute error is 3.96 ± 5.36 mmHg for SBP and 2.39 ± 3.28 mmHg for DBP, the root mean square error is 5.54 for SBP and 3.45 for DBP. These results fulfill the Association for the Advancement of Medical Instrumentation (AAMI) standard and obtain grade A according to the British Hypertension Society (BHS) standard. The results show that the proposed model can effectively estimate the BP waveform only using the raw PPG signal.
Open Stabilization Procedures of the Shoulder in the Athlete: Indications, Techniques, and Outcomes

Abstract Shoulder instability is a relatively common injury especially in the young athletic population and its surgical management continues to remain a controversial topic in sports medicine orthopedics. Anterior instability is the most common type encountered and is estimated to have an incidence rate of 0.08 per 1000 person–years in the general population; however, this figure is likely higher in the young athletic population. While in recent practice, arthroscopic surgery has become the new gold standard for management, reported failure rates as high as 26% and high recurrence rates in specific subpopulations such as young men in high collision sports have led to the consideration of alternative open procedures such as open Bankart repair, Latarjet, capsular shift, and glenoid bone grafting. These procedures may be preferred in specific patient subgroups such as young athletes involved in contact sports and those with Hill–Sachs defects and multidirectional instability, with postoperative recurrence rates of instability as low as 10%. The purpose of this review is to provide an overview of different open surgical techniques in the management of shoulder instability and summarize patient outcomes including recurrence rates for shoulder instability, return to sport, range of motion (ROM), muscle strength, and complications either individually by procedure or in comparison with other techniques, with special focus on their impact in the athletic population.
AUTOMATIC INCIDENT DETECTION: WRONG-WAY VEHICLE DETECTION USING IMAGE PROCESSING

This paper presents a new function added in an automatic incident detection system. It concerns an algorithm based on image processing able to detect the wrong-way vehicle on the motorway. The algorithm is working in most outdoor conditions (day, night, rain). The principle of the method consists in analysis of the moving vehicles. Each vehicle is tracked in the image and its trajectory is then built. The trajectory is a good criteria to qualify the circulating vehicle direction but in practice, parts of the trajectory include some error due to physical parameters (noise, deformation of objects due to the perspective view, etc.) or to natural phenomena (shadows, glints). A proposed paper presents the following points: a survey of the main difficulties meted in the motion detection field and automatic incident detection; the principle of the method developed by the INRETS; the advantages and drawbacks of the method; and results obtained in field experimentation.
Novel Inhibitor-Based Therapies for Thyroid Cancer—An Update

Thyroid cancers (TCs) are the most common tumors of the endocrine system and a constant rise in the number of TC cases has been observed for the past few decades. TCs are one of the most frequent tumors in younger adults, especially in women, therefore early diagnosis and effective therapy are especially important. Ultrasonography examination followed by fine needle biopsy have become the gold standard for diagnosis of TCs, as these strategies allow for early-stage detection and aid accurate qualification for further procedures, including surgical treatment. Despite all the advancements in detection and treatment of TCs, constant mortality levels are still observed. Therefore, a novel generation line of targeted treatment strategies is being developed, including personalized therapies with kinase inhibitors. Recent molecular studies on TCs demonstrate that kinase inhibitor-based therapies might be considered as the most promising. In the past decade, new kinase inhibitors with different mechanisms of action have been reported and approved for clinical trials. This review presents an up-to-date picture of new approaches and challenges of inhibitor-based therapies in treatment of TCs, focusing on the latest findings reported over the past two years.
Alzheimer’s Disease-Related Metabolic Pattern in Diverse Forms of Neurodegenerative Diseases

Dementia is broadly characterized by cognitive and psychological dysfunction that significantly impairs daily functioning. Dementia has many causes including Alzheimer’s disease (AD), dementia with Lewy bodies (DLB), and frontotemporal lobar degeneration (FTLD). Detection and differential diagnosis in the early stages of dementia remains challenging. Fueled by AD Neuroimaging Initiatives (ADNI) (Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. As such, the investigators within ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. ), a number of neuroimaging biomarkers for AD have been proposed, yet it remains to be seen whether these markers are also sensitive to other types of dementia. We assessed AD-related metabolic patterns in 27 patients with diverse forms of dementia (five had probable/possible AD while others had atypical cases) and 20 non-demented individuals. All participants had positron emission tomography (PET) scans on file. We used a pre-trained machine learning-based AD designation (MAD) framework to investigate the AD-related metabolic pattern among the participants under study. The MAD algorithm showed a sensitivity of 0.67 and specificity of 0.90 for distinguishing dementia patients from non-dementia participants. A total of 18/27 dementia patients and 2/20 non-dementia patients were identified as having AD-like patterns of metabolism. These results highlight that many underlying causes of dementia have similar hypometabolic pattern as AD and this similarity is an interesting avenue for future research.
Scanning Electron Microscopy and X-ray Diffraction in the Determination of Macroelements in Soil and Plants

ABSTRACT Sample preparation is a crucial stage in obtaining correct results for micro- and macro-elements in soil and plants. The current study is a part of systematic research on the methods for soil and plant sample preparation for analysis of the most important macro-elements. The purpose is to determine the limits of the application of the most widely spread standardized and non-standardized methods for sample preparation and to shed more light on the possibilities of using scanning electron microscopy/energy dispersive spectroscopy (SEM-EDS) and X-ray Diffraction (XRD) in soil and plant analysis. The most common methods for extracting macro- elements in soil and plants (dry ashing, acid digestion, and microwave digestion in different variants) were compared using three certified soil samples and the Polish reference material CTR-VTL-2 (Virginia tobacco leaves). Three macro-elements (K, Ca and Mg) in the digest were analyzed using flame AAS and the insoluble fraction after digestion were analysed using XRD and SEM-EDS. It is concluded, that the degree of extraction of the elements from soil and plant materials is highly dependent on the mineralisation method. The X-ray investigation showed the formation of KClO4 when HClO4 was used as a part of the acids mixture. The use of HF at Ca and Mg determination led to the formation of CaF2 and MgF2. The result was verified by SEM-EDS.
Diversity of Predators Associated with the Mealybug Complex in Cassava Growing Districts of Tamil Nadu, India

An extensive survey was carried to study the diversity of predators associated with the mealybug complex in the cassava growing districts viz., Salem, Namakkal, Erode, Tiruppur and Coimbatore of Tamil Nadu, India from January to September, 2021. The survey revealed the dominance of Phenacoccus manihoti Matile-Ferrero 1977 (Hemiptera: Pseudococcidae) than other mealybug species in all the surveyed districts. The incidence of P. manihoti ranged from 12 to 90 per cent while Paracoccus marginatus Williams and Granara de Willink 1992 (Hemiptera: Pseudococcidae) incidence was found to be between 8 and 54 per cent. The incidence of Ferrisia virgata Cockerell 1893 (Hemiptera: Pseudococcidae) was found to be very low (8-16%) compared to other mealybug species. Association of total predators with P. manihoti were found to be maximum (30.87%) followed by the total predators with P. marginatus (6.49%) whereas 0.53 per cent of total predators associated with F. virgata. The fourteen different predators viz., Cryptolaemus montrouzieri Mulsant 1853 (Coleoptera: Coccinellidae), Menocheilus sexmaculatus Fabricius 1781 (Coleoptera: Coccinellidae), Anegleis cardoni Weise 1892 (Coleoptera: Coccinellidae), Hyperaspis maindroni Sicard 1929 (Coleoptera: Coccinellidae), Brumoides suturalis Fabricius 1798 (Coleoptera: Coccinellidae), Scymnus spp. (Coleoptera: Coccinellidae), Chrysoperla spp. (Neuroptera: Chrysopidae), Mallada spp. (Neuroptera: Chrysopidae), Spalgis epeus Westwood 1851 (Lepidoptera: Lycaenidae), Geocoris spp. (Hemiptera: Geocoridae), Cardiastethus spp. (Hemiptera: Anthocoridae), Diadiplosis spp. (Diptera: Cecidomyiidae), Oxyopes spp. (Araneae: Oxyopidae) and Argiope spp. (Araneae: Araneidae) were found to associated with the mealybug species viz.,P. manihoti, P. marginatus and F. virgata. Among the predators of the mealybug complex, the most relative abundant species were H. maindroni (11.74%) associated with P. manihoti and C. montrouzieri (6.49%) associated with P. marginatus followed by S. epeus (0.67%) associated with F. virgata. The diversity of predators assessed through Simpson’s Index of Diversity, Shannon-Wiener, Pielou’s Evenness and Margalef indices revealed highest species diversity, species richness and species evenness in Namakkal district.
Detection of Sleep-Disordered Breathing in Patients with Spinal Cord Injury Using a Smartphone

Patients with spinal cord injury (SCI) have an increased risk of sleep-disordered breathing (SDB), which can lead to serious comorbidities and impact patients’ recovery and quality of life. However, sleep tests are rarely performed on SCI patients, given their multiple health needs and the cost and complexity of diagnostic equipment. The objective of this study was to use a novel smartphone system as a simple non-invasive tool to monitor SDB in SCI patients. We recorded pulse oximetry, acoustic, and accelerometer data using a smartphone during overnight tests in 19 SCI patients and 19 able-bodied controls. Then, we analyzed these signals with automatic algorithms to detect desaturation, apnea, and hypopnea events and monitor sleep position. The apnea–hypopnea index (AHI) was significantly higher in SCI patients than controls (25 ± 15 vs. 9 ± 7, p < 0.001). We found that 63% of SCI patients had moderate-to-severe SDB (AHI ≥ 15) in contrast to 21% of control subjects. Most SCI patients slept predominantly in supine position, but an increased occurrence of events in supine position was only observed for eight patients. This study highlights the problem of SDB in SCI and provides simple cost-effective sleep monitoring tools to facilitate the detection, understanding, and management of SDB in SCI patients.
Brown-Spot Needle Blight of Pines

Brown-spot needle blight, caused by Scirrhia acicola (Dearn.) Siggers, delays growth and causes mortality of longleaf pine (Pinus palustris Mill.). Brown spot reduces total annual growth of southern pines by more than 16 million cubic feet (0.453 million cubic meters) of timber. Damage is most severe on longleaf seedlings in the grass stage; i.e., those that have not begun active height growth (fig.1). Heavily infected seedlings may remain in the grass stage for 10 or more years. Brown spot has also become a serious problem to certain varieties of Scots pine (P. sylvestris L.) and other pines grown in Christmas tree plantations in the north- and mid-central States (see photo) Thousands of dollars are lost annually by Christmas tree growers because this fungus causes needle drop, making trees unmerchantable.
The Importance of Connected and Interspersed Urban Green and Blue Space for Biodiversity: A Case Study in Cork City, Ireland

Urban green and blue space (UGBS) is becoming increasingly important for supporting biodiversity, with the spatial configuration of these landscapes essential to supporting a range of taxa. The role of UGBS for supporting biodiversity is well established, but there remains a lack of consensus on the importance of the overall landscape configuration and the scale at which these configurations are analyzed. Moreover, statistical models are often compounded by coarse representations of UGBS that ignore ‘invisible’ spaces (i.e., gardens and brownfield sites). Using Sentinel-2 satellite data and a maximum likelihood classification, a comprehensive landcover map of Cork City, Ireland was produced with reliable accuracy. FRAGSTATS was then used to capture landscape metrics regarding the spatial configuration of the study area, at a city scale and at three spatial extents for each field site. Field surveys at 72 locations captured data on bird species richness and abundance, before generalized linear models (GLMs) were parameterized between biodiversity metrics and the landscape metrics at 50, 100, and 200 m scales. The UGBS classification revealed that two-thirds of the city is composed of green and blue space. The field surveys recorded 62 species in the city, while GLMs revealed that green space was a significant driver in increasing species richness and abundance, while blue space produced inversions in coefficient estimates, suggesting a more nuanced relationship. The edge effect phenomenon was suggested to play a key role in increasing bird diversity, with a diversified and varied urban landscape important. The impact of scale also affected how blue space was viewed as a connective network within the city, particularly in relation to biodiversity metrics. Overall, this study has demonstrated that UGBS is intrinsically linked to bird diversity. Moreover, 38% of the species recorded are listed as species of conservation concern in Ireland, highlighting how urban spaces can provide habitats for vulnerable species and should inform discussion on the role of geography within the implementation of conservation and planning initiatives for urban environs.