Miracle-dz/UniFAR-FTUs huggingface dataset:
A Medication Assessment Tool to Evaluate Prescribers’ Adherence to Practice Guidelines in Acute-Phase Schizophrenia Treatment: Development and Psychometric properties

Background: Studies showed that the adherence to practice guidelines is associated with a higher quality of care and better patient’s outcomes. In psychiatric practice, there is a quality gap between Practice guidelines (PGs) and routine clinical practice for the patients with schizophrenia which potentially hinders their recovery. One of the important reasons for this persistent gap is the lack of systematic methods to evaluate prescribers’ adherence to practice guidelines. Objectives: This study aimed to develop and validate a medication assessment tool (MAT) to evaluate prescribers’ adherence to pharmacotherapy recommendations in PGs during the acute phase of schizophrenia (APSCZ) in Iran (MATAPSCZ). Methods: This methodological cross-sectional study was conducted from August 2021 to April 2022. According to the literature review and discussions in the research group, an item pool of 91 items was developed. Then face and content validity of the scale were evaluated. Then, exploratory factor analysis (EFA) was used to specify the factor structure. At last, the reliability and responsiveness of the scale were assessed. The study sample consisted of 200 Iranian psychiatrists and final-year psychiatry residents. Results: Eleven items were merged in qualitative content validity. Then, sixteen and six items were excluded from the scale in terms of having low content validity ratios and corrected item-total correlation, respectively. In exploratory factor analysis, the remaining 48 items were classified into six factors, which included 50.1% of the total variance. Based on the results, Cronbach’s alpha, and McDonald’s omega of all factors were higher than 0.7, AIC was 0.2 to 0.4 for all factors, and the intraclass correlation coefficient for MATAPSCZ was 0.914. The standard error of measurement was ± 4.5, and the percentage of minimum detectable change for the tool was calculated to be 6.15%, which indicates its excellent responsiveness. Conclusions: The MATAPSCZ has acceptable psychometric properties and could be a useful tool to evaluate prescribers’ adherence to practice guidelines pharmacotherapy recommendations during the APSCZ.
Analysis of Multi-Mycotoxins in Commonly Consumed Spices Using the LC-MS/MS Method for Assessing Food Safety Risks

Mycotoxins are secondary metabolites produced by certain fungal species. In this study, the aim was to investigate mycotoxins, which pose a serious health problem. For this purpose, a total of 140 spice samples (black pepper, red pepper, cumin, and turmeric) purchased from Ankara, Turkey, were analyzed for specific mycotoxins (aflatoxin B1-AFB1, aflatoxin B2-AFB2, aflatoxin G1-AFG1, aflatoxin G2-AFG2, ochratoxin A-OTA, zearalenone-ZEN) using an LC-MS/MS multi-mycotoxin method. The Staphylococcus spp. and Micrococcus spp. counts in the spice samples were also analyzed using the conventional culture method. The contamination levels of AFB1 ranged from not detected (ND) to 39.12 μg/kg; AFB2 ranged from ND to 2.10 μg/kg; AFG1 ranged from ND to 0.92 μg/kg; AFG2 ranged from ND to 3.67 μg/kg; OTA ranged from ND to 39.79 μg/kg; ZEN ranged from ND to 11.16 μg/kg. The maximum residue limit for AFB1 (5 μg/kg) determined according to the Turkish Food Codex (TFC) was exceeded in five samples of red pepper, two samples of black pepper, and one sample of turmeric. Furthermore, it was determined that three samples of red pepper and one sample of black pepper exceeded the maximum limits for total aflatoxin (10 μg/kg) and OTA (15 μg/kg) specified in the TFC.
Hybrid Write Strategy Based on Hot Data Recognition and Channel Busyness Perception for Consumer Solid-State Drives

The NAND flash-based solid-state drive (SSD) has been widely used in consumer electronic products such as digital cameras, smartphones and laptops. In these products, the life and performance of SSDs are related to the write strategy of SSDs. In this paper, we propose a Hot data and channel Busyness Perception based Hybrid Write strategy, briefly as HBPHW. The key idea of HBPHW is to use the tradeoff between flash programming speed and data retention time to optimize the performance of SSDs, while not significantly deteriorating their life. Firstly, we use data heat and channel busyness to model the fast write decision index, and then compare it with the fast write threshold to decide whether to carry on fast write. Secondly, we add two items in the address mapping table, namely, the fast write flag and the rewrite deadline, to manage the fast write data. At last, we propose a mechanism to adaptively adjust the fast write threshold to maximize the fast write benefit. Experimental results on three consumer workloads verify the effectiveness of HBPHW, which can greatly improve the performance of SSD at the cost of the acceptable rewrite overhead.
Racial Differences in Strength of Associations Between Colorectal Cancer Screening, Area Deprivation, Demographics, and Clinical Characteristics

Background: In Louisiana, colorectal cancer (CRC) incidence and mortality exceed national rates. Census tract, sex, and racial disparities across the state are well documented. This study examined whether there were subpopulation differences in associations between CRC screening, area deprivation index (ADI), and patient characteristics. Methods: This retrospective observational study included patients aged 50 to 75 years who received care within Ochsner Health in Louisiana between July 1, 2012, and December 31, 2020. Logistic regression models were used to generate adjusted odds ratios (95% CI). Results: A total of 75,344 patients met eligibility criteria for inclusion in the data analysis (60% female, 36% Black, 56% with spouse/partner, 42% Medicare/Medicaid,17% living in high deprivation areas, 41% with 2+ chronic conditions, 56% never smoked, 51% obese). Living in areas with less deprivation (state decile 1-3 vs 8-10: 1.19 [1.14-1.24]), number of comorbidities (3+ conditions: 1.15 [1.12-1.17]), and prior outpatient visits (1.63 [1.58-1.67]) increased odds of CRC screening. Male sex (0.82 [0.79-0.84]), age group 55 to 59 years (0.97 [0.95-0.99]), and Medicaid insurance (0.89 [0.86-0.92]) decreased odds of screening. ADI was collinear with sex, race, marital status, body mass index, and smoking status. In subgroup analyses, between-group differences in strength of associations of CRC screening with ADI and patient characteristics varied most prominently by race. Conclusion: There may be an unmeasured social context explaining persistent racial differences among factors associated with CRC screening. A combination of census tract and individual-level social determinants may guide population health management for at-risk subpopulations.
Supporting SMEs Financial Resilience during Crises: A Framework to Evaluate the Effectiveness of Financial Literacy Programs Targeting SMEs

Financing capital investments and working capital have been the key challenges for small businesses during and in the aftermath of the pandemic. Excessive indebtedness can increase the fragility of firms, particularly during times of uncertainty. While there are several programs globally that target entrepreneurs’ financial literacy, most of them do not take into consideration entrepreneurs’ financial resilience during and after crisis times such as pandemics. The objective of this paper is to discuss the status of financial literacy programs targeting entrepreneurs. This paper conducts a review of the relevant literature to establish the initial understanding and then generates a framework consisting of entrepreneurs’ financial literacy along with its components. This is done by carrying out qualitative content analysis of the various financial literacy initiatives targeting entrepreneurs in twenty countries globally to understand their target segments, scope, initiating organisations and limitations. The paper then suggests a framework for entrepreneurs’ financial education that takes into consideration financial resilience during and after crisis situations in general and pandemics in particular.
Background discrimination of EDELWEISS-III cryogenic Ge-detectors for dark matter search

The EDELWEIS-III experiment is a direct dark matter search experiment using cryogenic Ge detectors with dual signal readout in ionization and heat for particle identification and background suppression. Within this thesis, a new data analysis framework has been developed. It features an automatic database driven processing and improved ionization signal filtering. A verification of the processing has been done and the focus of the thesis has been set on the analysis of surface backgrounds.
Process Analysis With an Automatic Mapping of Performance Factors Using Natural Language Processing

In lean construction projects, much information is collected during the process analysis with the trades. This data is increasingly documented as a reference for use in future construction projects. By doing this, efficient methods are required to use this data. Often, the unstructured naming of data is a challenge for a rule-based allocation of information, and manual work is required to identify the needed data. Therefore, the aim is to develop an automatic mapping of historical performance factors to the tender specifications of a new construction project. To support the process analysis with historical project data, a case study is executed using Natural Language Processing (NLP). With a NLP model, the process descriptions from the tender specifications of the new construction project can be compared with a master database, to filter the right performance factor and calculate the duration for a process. This procedure can be used to support the further process analysis together with the trades to generate a validated construction schedule. The case study shows promising results in the prediction results. First, the mapping quality and second, the prediction accuracy are evaluated. With the developed mapping concept, last planners can validate their estimations of durations in lean construction process planning with a target to support stability in a project. Still, a more detailed description of the processes could increase the prediction results.
Evaluating Model Differencing for the Consistency Preservation of State-based Views

While developers and users of modern software systems usually only need to interact with a specific part of the system at a time, they are hindered by the ever-increasing complexity of the entire system. Views are projections of underlying models and can be employed to abstract from that complexity. When a view is modified, the changes must be propagated back into the underlying model without overriding simultaneous modifications. Hence, the view needs to provide a fine-grained sequence of changes to update the model minimally invasively. Such fine-grained changes are often unavailable for views that integrate with existing workflows and tools. To this end, model differencing approaches can be leveraged to compare two states of a view and derive an estimated change sequence. However, these model differencing approaches are not intended to operate with views, as their correctness is judged solely by comparing the input models. For views, the changes are derived from the view states, but the correctness depends on the underlying model. This work introduces a refined notion of correctness for change sequences in the context of model-view consistency. Furthermore, we evaluate state-of-the-art model differencing regarding model-view consistency. Our results show that model differencing largely performs very well. However, incorrect change sequences were derived for two common refactoring operation types, leading to an incorrect model state. These types can be easily reproduced and are likely to occur in practice. By considering our change sequence properties in the view type design, incorrect change sequences can be detected and semi-automatically repaired to prevent such incorrect model states.
Atomic Physics Vol 5

Richard Marrus, Michael Prior and Howard Shugart (eds) New York: Plenum 1977 pp xiii + 573 price $59.40 Volume 5 of the current series contains the texts of the invited lectures presented at the fifth international conference on atomic physics, held in Berkeley, California, in July 1976. The majority of the papers describe contemporary experimental work, the topics covered including parity violation; tests of quantum electrodynamics ; exotic atoms; laser and photoelectron spectroscopy; polarised electrons; diagnostic problems of large tokamaks; impurity effects in magnetically confined, high temperature plasmas; high Rydberg states; positronium experiments; and heavy-ion induced x-ray emission.
On bounded model checking of asynchronous systems

This dissertation studies the verification of reachability properties of concurrent systems where the components of the system are Labeled Transition Systems (LTSs) using a symbolic model checking technique called Bounded Model Checking (BMC). BMC is a technique that seeks to answer the question whether among the system’s executions shorter than some given number of steps there is one (or more) violating a given property. Answering this question is reduced to propositional satisfiability, i.e., to a propositional formula that is satisfiable iff there is such a violating execution. The translation from a system to a formula is polynomial in the size of the system but the running time of the propositional solver can be exponential in the number of atomic propositions in the formula. This number, on the other hand, correlates directly with the number of execution steps that the formula models. Traditionally, LTSs are model checked by composing the components into a synchronized product and then applying a model checking algorithm on this product. The executions of the synchronized product are called interleaving executions. The research hypothesis of this work is that by using other composition operators than the one yielding the synchronized product, more efficient BMC algorithms can be obtained. The added efficiency comes from the fact that with these operators, propositional formulas with fewer atomic propositions are obtained. The reduction in the number of atomic propositions follows from the fact that fewer execution steps are needed to cover the same state space than when the synchronized product is used. Three techniques to create composition operators are presented, namely (i) partial-order semantics, (ii) on-the-fly determinization, and (iii) local transition merging. These techniques can be combined in many ways. The dissertation demonstrates that given a system of LTSs and a bound, a BMC formula modeling the executions of the products applying partial-order semantics and on-the-fly determinization can be created efficiently. That means that the translation effort is polynomial and the size of the resulting formula is linear in the size of the system and the bound. The third of the applied techniques, local transition merging, provides potentially dramatic reductions to the bound needed to detect a violation of a reachability property. The size of the BMC formula modeling this execution model is no more linear, though, since a complicated constraint is needed. The dissertation concludes with some experimental results comparing the products against each other and two state-of-the-art model checking tools.
The effect of cladding geometry on the absorption efficiency of double-clad fiber lasers

In the present work, the inner cladding geometries of a typical double-clad fiber laser are studied and numerically simulated for different cladding shapes to obtain the maximum absorption efficiency for the pump beam. This is performed by using the ray tracing approach and dislocating the fiber core from the center to impose the asymmetry on the investigated geometries. The high absorption efficiency of ~94.5% was obtained for the optimized offset D-shaped double-clad fiber. The hexagonal shape is proposed as a new geometry for the inner cladding to attain higher absorption efficiency. It was found that the absorption efficiency of ~68% for a symmetrical hexagonal can be improved to ~95% for an asymmetrized hexagonal-shaped double-clad fiber laser. Eventually the genetic algorithm was used to enhance the performance of the investigated geometries. This resulted in the further increasing of pump beam absorption efficiency of 99.5% in the genetic algorithm optimized asymmetrized hexagonal shape.
In Vitro α-Amylase and α-Glucosidase Inhibiting Activities of the Alcoholic Leaf Extracts of Trigonella foenum-graecum

: Trigonella foenum-graecum is a medicinally valuable plant commonly used to treat many disorder traditionally. In this study presence of phyto-compounds were evaluated using preliminary phytochemical analysis and GCMS observations, and the antidiabetic efficacy was confirmed by the inhibitory activity against the α -amylase and α -glucosidase enzymes. The presence of various bioactive compounds such as phenol, saponin, alkaloid, flavonoid, triterpenoids were reported in the alcoholic extracts of the plant leaves. The GC-MS analysis revealed the presence of 30 and 40 various major and minor compounds in the ethanol and methanol leaf extracts, respectively. The ethanol and methanol e xtracts possess to have strong inhibitory activity against the α -glucosidase with 66.6% and 75% of inhibition in the activity, respectively and an inhibition of 55.5% and 62.5% were recorded with α - amylase activity, respectively. The result suggested that the methanolic extract showed potential antidiabetic activity than the ethanolic solvent extract of the plant. It is required to further evaluate the plant for the isolation of bioactive compound which is responsible for the anti-hyperglycemic activity.
Dynamic high pressure measurements using a Fiber Bragg Grating probe and an arrayed waveguide grating spectrometer

High pressure shock profiles are monitored using a long Fiber Bragg Grating (FBG). Such thin probe, with a diameter of typically 150 μm, can be inserted directly into targets for shock plate experiments. The shocked FBG’s portion is stressed under compression, which increases its optical group index and shortens its grating period. Placed along the 2D symmetrical axis of the cylindrical target, the second effect is stronger and the reflected spectrum shifts towards the shorter wavelengths. The dynamic evolution of FBG spectra is recorded with a customized Arrayed Waveguide Grating (AWG) spectrometer covering the C+L band. The AWG provides 40 channels of 200-GHz spacing with a special flattop design. The output channels are fiber-connected to photoreceivers (bandwidth: DC - 400 MHz or 10 kHz – 2 GHz). The experimental setup was a symmetric impact, completed in a 110-mm diameter single-stage gas gun with Aluminum (6061T6) impactors and targets. The FBG’s central wavelength was 1605 nm to cover the pressure range of 0 – 8 GPa. The FBG was 50-mm long as well as the target’s thickness. The 20-mm thick impactor maintains a shock within the target over a distance of 30 mm. For the impact at 522 m/s, the sustained pressure of 3.6 GPa, which resulted in a Bragg shift of (26.2 ± 1.5) nm, is measured and retrieved with respectively thin-film gauges and the hydrodynamic code Ouranos. The shock sensitivity of the FBG is about 7 nm/GPa, but it decreases with the pressure level. The overall spectra evolution is in good agreement with the numerical simulations.
Enhancing thermal conductivity and balancing mechanical properties of 3D-printed iPP/HDPE-based dielectric composites via the introduction of hybrid fillers and tailored crystalline structure

ABSTRACT With the development of 5G technology, the miniaturised and highly integrated electronic devices urgently require thermal management materials possessing high thermal conductivity and mechanical properties. In this work, isotactic polypropylene (iPP)/high-density polyethylene (HDPE)-based dielectric composites possessing ideal thermal conductivity and balanced mechanical properties were prepared via Fused Filament Fabrication (FFF). The advanced material properties were achieved by the introduction of hybrid fillers and tailored polymer crystalline structure. The highly oriented h-BN, oriented iPP crystalline and iPP/HDPE epitaxy crystalline were observed. Meanwhile, we studied the effect of the ratio of hybrid fillers on various properties of composites. The thermal conductivity of iPP/HDPE/h-BN/Al2O3 composites reach 1.802 W·m−1·K−1. The impact strength and tensile strength reach 13.23 KJ/m2 and 40 MPa, respectively. In addition, the composites maintain ideal dielectric properties. This work offers a feasible strategy to fabricate dielectric and thermal conductive composites with balanced mechanical properties using semicrystalline polymer through FFF process.
Spatiotemporal Variation in the Coupling Relationship between Human Activities and Soil Erosion—A Case Study in the Weihe River Basin

Studying the relationship between human activities and soil erosion on a regional scale is of great significance for macro-decision-making in soil erosion prevention and control. The entropy weight method and RUSLE model are used to analyze the spatiotemporal variation in human activity intensity (HAI) and soil erosion in the Weihe River Basin (WRB) from 2005 to 2020. Through geographic detectors and a four-quadrant model, the impact of various driving factors and the coupling degree of the human–land relationship are studied. The results showed: (1) During the past 15 years, the moderate, high, strong, and severe erosion areas in the WRB decreased by 9.88%, 35.89%, 45.17%, and 70.05%, respectively. The ratio of the historical sand transport modulus to the RUSLE model result is 0.83, indicating that the results obtained by the RUSLE model can be used for further analysis. (2) Slight and weak degrees account for 80% in the northwest region. The high and strong regions are mainly distributed in the Shaanxi section, accounting for 3% of the total basin. (3) The coupling between human activities and soil erosion is constantly strengthening, and the joint effect of pop and crop is the main reason for the slowdown and spatial differences in soil erosion. This indicates that the ecological environment became stable. These findings contribute by acting as references for soil and water conservation and management in the WRB to promote a harmonious relationship between humans and the environment.
The ISAR Instrument Uncertainty Model

AbstractMeasurements of sea surface temperature at the skin interface () made by an Infrared Sea Surface Temperature Autonomous Radiometer (ISAR) have been used for a number of years to validate satellite sea surface temperature (SST), especially high-accuracy observations such as made by the Advanced Along-Track Scanning Radiometer (AATSR). The ISAR instrument accuracy for measuring is ±0.1 K (Donlon et al.), but to satisfy Quality Assurance Framework for Earth Observation (QA4EO) principles and metrological standards (Joint Committee for Guides in Metrology), an uncertainty model is required. To develop the ISAR uncertainty model, all sources of uncertainty in the instrument are analyzed and an uncertainty value is assigned to each component. Finally, the individual uncertainty components are propagated through the ISAR retrieval algorithm to estimate a total uncertainty for each measurement. The resulting ISAR uncertainty model applied to a 12-yr archive of measurements from the Bay of Biscay shows tha.