Miracle-dz/UniFAR-FTUs huggingface dataset:
Detailed Seal Studies for CO2 Storage in the Gippsland Basin

The Gippsland Basin has an enviable combination of excellent reservoirs, effective top seals, and a world-class petroleum system. Proximity to the Latrobe Valley power generators makes it an ideal target for CO 2 sequestration, but the key question is whether topseal effectiveness continues into structures that cannot be shown to contain large hydrocarbon columns. Recent work by the CarbonNet team within DPI has built on earlier data to show that facies and mineralogy of the topseal is the dominant factor in seal effectiveness and that present-day depth of burial is rather less important. Mineralogy cannot be directly inferred from seismic data but facies can be at least partially mapped, and seal thickness is a directly-mappable and key co-varying parameter in determining seal effectiveness. New seal capacity (MICP) work has increased the robustness of the existing database and shown generally-better seals than previously reported, including some impressive seal capacities for intra-Latrobe seals suggesting that multi-storey sequestration of CO 2 is viable. Seismic studies into potential leakage have shown that although the Lakes Entrance Formation is a complex set of seismic sub-sequences with variable seal capacity vertically and laterally, it is nonetheless an excellent topseal across the core of the basin. Chimney-Cube Neural-Network studies and conventional geophysical attribute analysis have shown that potential escape of luids from depth is effectively blocked, with the exception of the Northern Terrace and a small area around the Beardie-1 well on the lanks of the giant Barracouta ield. Here, the topseal is only 19m thick (due to channelisation) and seismic indications are noted of luid escape from the Barracouta GWC into the cover sequence. Tracking these escaped luids is a way to model any future potential escape of CO 2 and to track the subsequent slow migration through the Gippsland Limestone cover sequence as a potential back-up containment system.
The Effectiveness of Mindfulness-Based Stress Reduction Group Therapy in Rumination Among Multiple Sclerosis Patients

Background: Multiplesclerosis(MS)isadisablingneurologicaldisorder,whichinadditiontoneuro-motordisorders,accompanies a variety of symptoms, such as anxiety, asthenia, and reduced levels of problem-solving, and leads to a number of physical and mentaldisorders. ThisiswhileruminationisamongpsychologicalproblemsthatcannegativelyaﬀectMSpatients’ mentalhealth. Rumination is known as a permanent engagement in a thought or an issue and is categorized as a conscious thought focused on a speciﬁc topic. Objectives: Thisstudyaimedatinvestigatingtheeﬀectivenessof mindfulness-basedstressreductiongrouptherapyinrumination among MS patients Methods: This quasi-experimental study was followed by a pretest, post-test, and follow-up design with a control group. The current study had a statistical population including all patients with MS, who referred to Sistan and Baluchestan MS Community from December 2016 to February 2017. Among them, 30 patients were selected as the sample using the convenience sampling method and were randomly assigned to a control group and an experimental group (each including 15 patients). Eight 60-minute sessions of mindfulness-based stress reduction group therapy were conducted on the experimental group. A post-test was carried out after completingallsessionsandafollow-upwasperformedamonthlater. Youseﬁruminationscalewasusedasthedatacollectiontool. An analysis of covariance was applied to analyze the obtained data. Results: The results indicated that mindfulness-based stress reduction group therapy reduced rumination in patients with MS in the post-test and follow-up (P < 0.05). Conclusions: Authoritiesarerecommendedtoapplythemindfulness-basedstressreductiongrouptherapytoimproverumination among patients with chronic diseases.
Analysis Factors Burnout Syndrome On Nurse Performance Via Job Satisfaction At RSUD Dr. H. Koesnadi Bondowoso

The nurses' profession carries a high risk of burnout syndrome due to the constant requirement of delivering complete care to their patients. In the year 2022, 3 nurses along with 1 contract midwife are set to resign from RSUD dr. H. Koesnadi Bondowoso. Burnout syndrome is characterized by fatigue, both physical and mental, leading to a negative self-concept, lack of concentration, and negative work behavior. The objective of this study was to analyze the causes of burnout syndrome and its impact on nurse performance, with job satisfaction serving as an intervening variable. The research approach involved using quantitative path analysis, with a sample of 189 nurses/midwives utilizing proportional random sampling. Results indicate a direct influence between the factors contributing to burnout syndrome and nurses' job satisfaction along with a direct relationship between the factors affecting burnout syndrome and nurse performance. An indirect effect was also observed between the factors contributing to burnout syndrome and nurse performance via job satisfaction. For this reason, it is necessary to increase the capacity of individual nurses, organizations and a conducive work environment in order to achieve job satisfaction which will have an impact on more optimal performance of professional nurses.
Cystic Fibrosis Carrier States Are Associated With More Severe Cases of Bronchiectasis

Abstract Background People with cystic fibrosis (CF) are at increased risk for bronchiectasis, and several reports suggest that CF carriers may also be at higher risk for developing bronchiectasis. The purpose of this study was to determine if CF carriers are at risk for more severe courses or complications of bronchiectasis. Methods Using MarketScan data (2001–2021), we built a cohort consisting of 105 CF carriers with bronchiectasis and 300 083 controls with bronchiectasis but without a CF carrier diagnosis. We evaluated if CF carriers were more likely to be hospitalized for bronchiectasis. In addition, we examined if CF carriers were more likely to be infected with Pseudomonas aeruginosa or nontuberculous mycobacteria (NTM) or to have filled more antibiotic prescriptions. We considered regression models for incident and rate outcomes that controlled for age, sex, smoking status, and comorbidities. Results The odds of hospitalization were almost 2.4 times higher (95% CI, 1.116–5.255) for CF carriers with bronchiectasis when compared with non–CF carriers with bronchiectasis. The estimated odds of being diagnosed with a Pseudomonas infection for CF carriers vs noncarriers was about 4.2 times higher (95% CI, 2.417–7.551) and 5.4 times higher (95% CI, 3.398–8.804) for being diagnosed with NTM. The rate of distinct antibiotic fill dates was estimated to be 2 times higher for carriers as compared with controls (95% CI, 1.735–2.333), and the rate ratio for the total number of days of antibiotics supplied was estimated as 2.8 (95% CI, 2.290–3.442). Conclusions CF carriers with bronchiectasis required more hospitalizations and more frequent administration of antibiotics as compared with noncarriers. Given that CF carriers were also more likely to be diagnosed with Pseudomonas and NTM infections, CF carriers with bronchiectasis may have a phenotype more resembling CF-related bronchiectasis than non-CF bronchiectasis.
A potential approach for in vitro bone tissue engineering: expression of BMP-2 and FGF-2 on nano Ch-CA scaffolds

Background: Alveolar bone resorption after tooth extraction is a physiological process that cannot be avoided. The traditional approach to treating bone defects is frequently ineffective, but gene therapy, which aims to maintain the local concentration of bone growth factors at a therapeutic level, is a promising method for expediting bone defect repair. One of the polymer materials, which have been developed in bone regeneration is chitosan (Ch). Ch in the form of nanoparticles is neutral, not toxic, and has constant stability. To Enhance the bone regeneration properties of the graft substitution, nano chitosan-carbonate apatite scaffold (nano Ch-CA scaffold) combined with bone morphogenetic protein-2 (BMP-2) and fibroblast growth factors-2 (FGF-2) were developed. BMP-2 and FGF-2 have osteoinducing properties and functions in regulating the process of proliferation, differentiation, and apoptosis of osteoblasts. Purpose: To observe the expression of BMP-2 and FGF-2 on a nano Ch-CA scaffold that promotes osteogenesis in vitro. Materials and Methods: Forty-two nano Ch-CA scaffolds were used and divided into 2 groups, namely group I containing osteoblast cells seeded on nano Ch-CA scaffold with BMP-2, and group II containing osteoblast cells seeded on nano Ch-CA scaffold with FGF-2. Expression of BMP-2 and FGF-2 were examined on days 3, 5, and 7. Each time of examination consisted of 7 nano Ch-CA scaffold. An immunohistochemistry (IHC) test was used to assess the levels of BMP-2 and FGF2 expression on nano Ch-CA scaffold in vitro. Results: The cylindrical nano Ch-CA scaffold that was prepared had a uniform size distribution. The BMP-2 and FGF-2 expression levels were significantly increased on days 3, 5, and 7 of observation. It is possible to infer that encouraging osteogenesis on nano Ch-CA scaffold in vitro. Conclusion: The nano Ch-CA scaffold shows good handling properties when combined with BMP-2 and FGF-2. The osteogenic capabilities of osteoblast cells are effectively promoted in vitro by the expression of BMP-2 and FGF-2 on a nano Ch-CA scaffold.
Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior

Snapshot compressive imaging (SCI) aims at efficiently capturing high-dimensional data (e.g., multi-spectral images and videos) using a two-dimensional detector, which is a hardware-friendly data acquisition paradigm. However, because of the complex structure of videos (such as the dynamic background and moving foreground), it is challenging to reconstruct a video from the captured measurement. Existing model-based methods for video SCI reconstruction are inadequate to reconstruct the complex structure of videos, and existing supervised deep learning-based methods are with poor adaptability to videos in real scenarios. Inspired by the physically interpreted video decomposition, we suggest an unsupervised video SCI reconstruction method with tailored deep video prior and affine transformation, namely, FactorDVP-T. Our FactorDVP-T infers the parameters of the neural networks and the underlying structure of the original video from the captured measurement using a non-reference loss function in an unsupervised manner. Under FactorDVP-T, a video is first factorized into the moving foreground and static background. The background is further factorized into temporal bases and spatial coefficients, where each factor can be modeled individually using the designated unsupervised networks in FactorDVP-T. Moreover, to tackle the dynamic background in real scenarios, we integrate the affine transformation into FactorDVP-T. Benefiting from the expressive power of unsupervised networks embedded in the physically interpreted video decomposition framework, our methods can reconstruct the videos more effectively and better adapt to various videos in real scenarios, as compared with the model-based methods and supervised deep learning-based methods respectively. Extensive experiments on various videos show that our FactorDVP-T can better adapt to different videos, compared with the state-of-the-art model-based and supervised deep learning-based SCI reconstruction methods.
Experimental study on ultrasonic properties of sandstone before and after high temperature

Ultrasonic velocities and dimensions of sandstone specimens from Jiaozuo that experience different temperature(100 ℃-1 200 ℃) are measured;and their uniaxial strength are tested.P-wave attenuation coefficients of rock specimens are calculated.Crack densities are calculated using relations between ultrasonic velocity and elastic moduli.The volumes,ultrasonic velocities and attenuation coefficients of sandstone specimens before and after high temperature are compared.Results show that the cracks of sandstone specimens develop so that the compactness and ultrasonic velocities of specimens decline.For sandstone specimens that experience different temperature the changes of ultrasonic velocity and uniaxial strength are obviously discrepant.But changes of attenuation coefficients are similar to uniaxial strength.It can be taken as reference to evaluate uniaxial strength at a certain extent.
Multi-Omic Blood Biomarkers as Dynamic Risk Predictors in Late-Onset Alzheimer’s Disease

Late-onset Alzheimer’s disease is the leading cause of dementia worldwide, accounting for a growing burden of morbidity and mortality. Diagnosing Alzheimer’s disease before symptoms are established is clinically challenging, but would provide therapeutic windows for disease-modifying interventions. Blood biomarkers, including genetics, proteins and metabolites, are emerging as powerful predictors of Alzheimer’s disease at various timepoints within the disease course, including at the preclinical stage. In this review, we discuss recent advances in such blood biomarkers for determining disease risk. We highlight how leveraging polygenic risk scores, based on genome-wide association studies, can help stratify individuals along their risk profile. We summarize studies analyzing protein biomarkers, as well as report on recent proteomic- and metabolomic-based prediction models. Finally, we discuss how a combination of multi-omic blood biomarkers can potentially be used in memory clinics for diagnosis and to assess the dynamic risk an individual has for developing Alzheimer’s disease dementia.
Geochronological challenges posed by continuously developing tectonometamorphic systems: insights from Rb–Sr mica ages from the Cycladic Blueschist Belt, Syros (Greece)

Is metamorphism and its causative tectonics best viewed as a series of punctuated events or as a continuum? This question is addressed through examination of the timing of exhumation of the Cycladic Blueschist Belt (CBB). The cause of scatter beyond analytical error in Rb–Sr geochronology was investigated using a suite of 39 phengite samples. Rb–Sr ages have been measured on phengite microsamples drilled from specific microstructures in thin sections of calcschists and metabasites from the CBB on Syros. The majority are from samples that have well‐preserved blueschist facies mineral assemblages with limited greenschist facies overprint. The peak metamorphic temperatures involved are below the closure temperature for white mica so that crystallization ages are expected to be preserved. This is supported by the coexistence of different ages in microstructures of different relative age; in one sample phengite from the dominant extensional blueschist facies fabric preserves an age of 35 Ma while post‐tectonic mica, millimetres away, has an age of 26 Ma. The results suggest that micro‐sampling techniques linked to detailed microstructural analysis are critical to understanding the timing and duration of deformation in tectonometamorphic systems. North of the Serpentinite Belt in northern Syros, phengite Rb–Sr ages are generally between 53 and 46 Ma, comparable to previous dates from this area. South of the Serpentinite Belt phengite in blueschist facies assemblages associated with extensional fabrics linked to exhumation have ages that range from 42 Ma down to c. 30 Ma indicating that extensional deformation while still under blueschist facies conditions continued until 30 Ma. No age measurements on samples with unambiguous evidence of deformation under greenschist facies conditions were made; two rocks with greenschist facies assemblages gave phengite ages that overlap with the younger blueschist samples, suggesting blueschist facies phengite is preserved in these rocks. Two samples yielded ages below 27 Ma; one is from a post‐tectonic microstructure, the other from a greenschist in which the fabric developed during earlier blueschist facies conditions. These ages are consistent with previous evidence of greenschist facies conditions from c. 25 Ma onwards. The data are consistent with a model of deformation that is continuous on a regional scale.
Shift in potential evapotranspiration and its implications for dryness/wetness over Southwest China

During 1961–2012, the regional average annual potential evapotranspiration (PET) of Southwest China (SWC) and the four subregions (named as SR1, SR2, SR3, and SR4) showed different decreases (excluding SR3); while the breakpoint analysis suggested that PET changes (i.e., sign and magnitude) have shifted. Based on a group of sensitivity experiments with Penman‐Monteith equation and a new separating method, the contributions of each climate factor alone (i.e., net radiation, Rn; mean temperature, Tave; wind speed, Wnd; and vapor pressure deficit, Vpd) to PET changes were calculated. Results showed that declined Wnd in SR1, reduced Rn in SR2, SR4, and SWC, and increased Vpd in SR3 were responsible for the PET changes during 1961–2012. However, the determinant factor for each subregion and SWC varied in different segmented periods, which were identified using the breakpoint analysis. The impacts of PET shifts on SWC dryness/wetness (reflected by the 3 month Standardized Precipitation‐Evapotranspiration index, SPEI‐3) during 1961–2012 were then quantified. Briefly, SPEI‐3 changes in SR3, SR4, and SWC had the determinant factor of PET in the first one or two period(s), and precipitation in the last period; while they were attributed to PET (precipitation) in SR1 (SR2) for each segmented period. It is found that PET and precipitation had comparable contributions to the variations in SWC dryness/wetness. Our findings have suggested that more attentions should be paid to the impacts of PET changes and shifts in future studies of dryness/wetness or drought.
Redesigning Maturity Models When Rolling Out Agile Transformations

Agile is conquering the competitive and fast-changing world. It benefits mandate that the implementation of a transformation to agile working is implemented as agile as can be. An important element of such a transformation is setting an improvement target: The first step an organization has to take to start working agile. One of the techniques for setting such a target is the use of maturity models (MMs), where maturity levels indicate the smart stops on the way to an ideal situation. This study finds that the traditional and external MM designs create a large gap between management targets and work floor reality. Therefore, a new method to create MM models has been introduced herein in an Agile setting to provide an easy-to-use yet powerful assessment tool for organizations. This model could not only reflect the uniqueness of the organization but also modify this uniqueness for the requirements of Agile transformations. The developed model is compared with the alternatives in literature, providing highly competitive performance with enhanced simplicity. It is clearly confirmed that the gap between top-down target setting and bottom-up achievement was sharply reduced when the structure of the MM was modified.
Estimating kinetic energy of U.S. tornadoes

Perhaps nothing on Earth is so uniquely majestic, yet destructive as the tornado. A violent tornado can level a town in minutes, causing death, injuries, monumental property losses and lasting emotional damage. To better understand the power behind tornadoes this research estimates the per-tornado total kinetic energy (TKE) for all tornadoes in the Storm Prediction Center (SPC) database over the period 2007-2013. TKE is estimated using the fraction of the tornado path experiencing Enhanced Fujita (EF) damage and the midpoint wind speed for each EF damage rating. TKE is validated as a metric of destruction by comparing it to other indexes of destruction including the Destruction Potential Index (DPI) and Tornado Destruction Index (TDI). Results showed that the Tallulah-Yazoo City-Durant tornado was the tornado with the most energy over the period, that 2011 was the year with the most energy, and that April and May were the months of the year with the most energy. The difference between frequency and energy was investigated and showed that while parts of “Tornado Alley” experienced the most tornadoes, it was the Deep South that experienced the most powerful tornadoes. Future work on TKE should look to compare environmental parameters (convective air potential energy (CAPE), helicity, and vertical wind shear) and TKE values. It should also look to disaggregate the scale at which TKE is possible and focus on the social implications of powerful tornadoes. TKE as a metric of destruction has value in its potential ability to spark new considerations about insurance rates, building codes, and public policy concerning tornadoes.
Development of a Biosensor to Detect Venom of Malayan Krait (Bungarus candidus)

Malayan krait (Bungarus candidus) envenoming is a cause of significant morbidity and mortality in many Southeast Asian countries. If intubation and specific antivenom administration are delayed, the most significant life-threatening outcome may be the inhibition of neuromuscular transmission and subsequent respiratory failure. It is recommended that krait-envenomed victims without indications of neurotoxicity, e.g., skeletal muscle weakness or ptosis, immediately receive 10 vials of antivenom. However, the administration of excess antivenom may lead to hypersensitivity or serum sickness. Therefore, monitoring venom concentrations in patients could be used as an indicator for snake antivenom treatment. In this study, we aimed to develop a screen-printed gold electrode (SPGE) biosensor to detect B. candidus venom in experimentally envenomed rats. The gold electrodes were coated with monovalent Malayan krait IgG antivenom and used as venom detection biosensors. Electrochemical impedance spectrometry (EIS) and square wave voltammetry (SWV) measurements were performed to detect the electrical characterization between B. candidus venom and monovalent IgG antivenom in the biosensor. The EIS measurements showed increases in charge transfer resistance (Rct) following IgG immobilization and incubation with B. candidus venom solution (0.1–0.4 mg/mL); thus, the antibody was immobilized on the electrode surface and venom was successfully detected. The lowest current signal was detected by SWV measurement in rat plasma collected 30 min following B. candidus experimental envenoming, indicating the highest level of venom concentration in blood circulation (4.3 ± 0.7 µg/mL). The present study demonstrates the ability of the SPGE biosensor to detect B. candidus venom in plasma from experimentally envenomed rats. The technology obtained in this work may be developed as a detection tool for use along with the standard treatment of Malayan krait envenoming.
Temperature-Induced Sex Differentiation in River Prawn (Macrobrachium nipponense): Mechanisms and Effects

Macrobrachium nipponense is gonochoristic and sexually dimorphic. The male prawn grows faster and usually has a larger size than the female. Therefore, a higher male proportion in stock usually results in higher yield. To investigate the impact of temperature on sexual differentiation in M. nipponense, two temperature treatments (26 °C and 31 °C) were conducted. The results showed that compared to the 31 °C treatment (3.20 ± 0.12), the 26 °C treatment displayed a lower female/male ratio (2.20 ± 0.11), which implied that a lower temperature could induce masculinization in M. nipponense. The temperature-sensitive sex differentiation phase was 25–35 days post hatching (DPH) at 26 °C while 15–20 DPH at 31 °C. Transcriptome and qPCR analysis revealed that a lower temperature up-regulated the expression of genes related to androgen secretion, and down-regulated the expressions of genes related to oogonia differentiation. Thirty-one temperature-regulated sex-differentiation genes were identified and the molecular mechanism of temperature-regulated sex differentiation was suggested. The finding of this study indicates that temperature regulation can be proposed as an innovative strategy for improving the culture yield of M. nipponense.