Miracle-dz/UniFAR-FTUs huggingface dataset:
Validation of ICD-11 PTSD and DSO using the International Trauma Questionnaire in five clinical samples recruited in Denmark

ABSTRACT Background: The 11th version of the International Classification of Diseases (ICD-11) revised the diagnosis of Posttraumatic Stress Disorder (PTSD) and introduced Complex PTSD as a sibling disorder to PTSD. As the Danish Health Authorities will implement the ICD-11 in 2022, it is more relevant than ever to introduce a measure that enables the identification of ICD-11 PTSD and CPTSD. Objective: The primary aim of the present study was to test the construct validity of the ICD-11 conceptualization of PTSD and DSO in five clinical samples using translated versions of the International Trauma Questionnaire (ITQ). Method: Data from existing studies of adult survivors of sexual abuse (n = 385), women in shelters (n = 147), psychiatric outpatients endorsing an ICD-10 diagnosis of PTSD (n = 111), a heterogenous sample of psychiatric outpatients (n = 178) and refugees and torture survivors (n = 385) was used for the current study. Confirmatory factor analyses were conducted to test the internal structure of the ITQ, and regression models were conducted to test the convergent and discriminant validity of the factor solutions for each sample. Results: Findings supported the ICD-11 formulation of PTSD and disorders in self-organization (DSO) as a representation of the latent structure of the ITQ across five Danish clinical samples. Uniquely for women in shelters, however, the model displayed an unacceptable fit. A revised operationalization of re-experiencing proved a better fit when ‘recurrent nightmares’ was exchanged with symptoms of intense emotional reactions to reminders of the trauma for women in shelter as well as ICD-10 PTSD psychiatric outpatients. Conclusion: This study supports the use of a Danish translated version of the ITQ to assess symptoms of ICD-11 PTSD and DSO for the introduction of ICD-11 in 2022. Future research is needed to further explore the operationalization of re-experiencing across different trauma exposed populations. HIGHLIGHTS Scores from the ITQ validly represent ICD-11 PTSD and DSO across five trauma-exposed populations recruited in Denmark (n = 1197). Results suggest that symptoms of trauma-related re-experiencing might differ depending on population or recency of the trauma.
A Local Search for Solving the Multi-item Capacitated Lot Sizing Problem and Vehicle Routing: A Case Study

Our research focuses on the development of two algorithms based on the mathematical programming and local search procedures for resolution the Multi-Item Capacitated Lot Sizing Problem and Vehicle Routing Problem (MICLSP-VRP). It concerns so a particularly important and difficult problem in the strong sense for solving. In particular, our study is motivated by a real case study in a butcher’s shop firm whose meat processing. Several production lines are considered of (turkey and chicken) items and a fleet of vehicles that is used to deliver. In this study, an effective approach based on the local search and accurate mixed integer programming model is presented to solve multi-item capacitated lot sizing problem and vehicle routing problem with delivery time windows. This consists of determining the production quantities at each site by minimizing the cost of transport and solving the sub problem. By considering an integrated approach, the computational results of a case study show a 25.33% percent decrease in the total cost production.
A new conditional random field based on mixture of generalized Gaussian model for synthetic aperture radar image segmentation

ABSTRACT In this paper, we propose a new algorithm using a conditional random field (CRF) model based on texture features for Synthetic Aperture Radar (SAR) image segmentation. Using the benefit of contourlet transform in describing the texture of SAR image, first, we extract contourlet coefficients from the image. Then, to take advantage of the simultaneous use of low- and high-frequency contourlet subbands, we apply the mixture of generalized Gaussian model (MoGGM) on all contourlet sub-bands to obtain more accurate texture features. Suggesting a new unary potential function based on MoGGM in our proposed CRF, we no longer require estimating the parameters in the multinominal logistic regression (MLR) model in previous CRF methods. Furthermore, we utilize the fifth-order moment to estimate the parameters of MoGGM for achieving better statistical properties of a specific region in SAR images and improving the accuracy of the texture recognition process. The experimental analysis demonstrates that segmentation results using the proposed algorithm are effectively improved compared to the previous CRF methods for SAR image segmentation.
Less Information, More Comparison, and Better Performance: Evidence from a Field Experiment

We use a field experiment in professional sports to compare effects of providing absolute, relative, or both absolute and relative measures in performance reports for employees. Although studies have documented that the provision of these types of measures can benefit performance, theory from economic and accounting literature suggests that it may be optimal for firms to direct ∗The London School of Economics and Political Science; †Harvard Business School, Harvard University and Laboratory for Innovation Science at Harvard; ‡WHU—Otto Beisheim School of Management and Laboratory for Innovation Science at Harvard Accepted by Christian Leuz. We thank an anonymous reviewer, Dennis Campbell, Wim Van der Stede, Margaret Abernethy, Karim Lakhani, Benno Torgler, and participants at the 2020 Journal of Accounting Research Conference, Harvard Business School, the Laboratory for Innovation Science at Harvard (LISH), WHU—Otto Beisheim School of Management, the London School of Economics and Political Science, and the University of Melbourne for their very helpful comments. We thank Sascha L. Schmidt for his support and for introducing us to the field site, Anton Paar SportsTec. We also thank Dominik Schreyer for his guidance. We thank Anton Paar SportsTec personnel for helpful comments and providing data access as the field site for our study. This paper did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. All errors are our own. This paper is based on a registered experiment with the AEA RCT Registry that is available on: https://doi.org/10.1257/rct.4141-3.0. [The copyright line for this article was changed on 30 June 2021 after original online publication. ] 657 © 2021 The Authors. Journal of Accounting Research published by Wiley Periodicals LLC on behalf of The Accounting Research Center at the University of Chicago Booth School of Business This is an open access article under the terms of the CreativeCommonsAttribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. 658 h. eyring, p. j. ferguson, and s. koppers employees’ attention to some types of measures by omitting others. In line with this theory, we find that relative performance information alone yields the best performance effects in our setting—that is, that a subset of information (relative performance information) dominates the full information set (absolute and relative performance information together) in boosting performance. In cross-sectional and survey-data analyses, we do not find that restricting the number of measures shown per se benefits performance. Rather, we find that restricting the type of measures shown to convey only relative information increases involvement in peer-performance comparison, benefitting performance. Our findings extend research on weighting of and responses to measures in performance reports. JEL codes: C93, D83, D90, M40, M51, M54
Improving Estimate at Completion (EAC) Cost of Construction Projects Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

Earned Value Management (EVM) is well-known technique for measuring project performance and progress. Due to EVM's attitude to combining cost and time performance simultaneously, project performance can be forecasted accurately and this plays a vital role in the future of the projects. In the current study, the authors employed Adaptive Neuro-Fuzzy Inference System (ANFIS) as a powerful prediction tool to forecast completion cost of the projects considering the percentage of risk for qualitative variables and comparing it with other types of Neural Networks. Since the network structure is usually tuned based on the obtained results, network optimization procedure is applied using a conventional method for estimating cost-caused project breakdown. The results showed ANFIS had a suitable performance (MSE=0.0003) and based on the sensitivity analysis, EV is recognized as the most sensitive factor in the project. This paper improves the general estimate at completion formula by taking uncertain conditions into account.
Psychometric properties of the COVID-19 associated PTSD-Scale

This study aimed to create a scale to measure post-traumatic stress disorder (PTSD) symptoms related to the COVID 19 crisis. Based on the available studies, the Davidson PTSD scale dimensions were used in this online survey. Accordingly, a new scale was designed based on the clinical characteristics of the symptoms of the PTSD, so questions revolved around the possible psychological PTSD symptoms associated with COVID 19. Descriptive approach was used. The study involved 423 participants from the Sultanate of Oman, of whom, 219 were male and 204 were female. Statistical analyses of the scale were conducted using reliability, criterion-related validity, as well as exploratory and confirmatory factor analysis. The factor analysis revealed three factors to which 15 items of 17 items were loaded that reflect the clinical features of PTSD symptoms. Overall, the scale showed good internal consistency and stability, with relatively good correlations between the items within the factors. The analysis of the confirmation factors led to model fit validation with 14 items, with the results showing a high degree of conformity. Accordingly, the results were discussed, and further studies suggested to further verify and confirm the scale validity.
A Novel FACS-Based Workflow for Simultaneous Assessment of RedOx Status, Cellular Phenotype, and Mitochondrial Genome Stability

Intracellular reduction-oxidation (RedOx) status mediates a myriad of critical biological processes. Importantly, RedOx status regulates the differentiation of hematopoietic stem and progenitor cells (HSPCs), mesenchymal stromal cells (MSCs) and maturation of CD8+ T Lymphocytes. In most cells, mitochondria are the greatest contributors of intracellular reactive oxygen species (ROS). Excess ROS leads to mitochondrial DNA (mtDNA) damage and protein depletion. We have developed a fluorescence-activated cell sorting (FACS)-based protocol to simultaneously analyze RedOx status and mtDNA integrity. This simultaneous analysis includes measurements of ROS (reduced glutathione (GSH)), ATP5H (nuclear encoded protein), MTCO1 (mitochondrial DNA encoded protein), and cell surface markers to allow discrimination of different cell populations. Using the ratio of MTCO1 to ATP5H median fluorescence intensity (MFI), we can gain an understanding of mtDNA genomic stability, since MTCO1 levels are decreased when mtDNA becomes significantly damaged. Furthermore, this workflow can be optimized for sorting cells, using any of the above parameters, allowing for downstream quantification of mtDNA genome copies/nucleus by quantitative PCR (qPCR). This unique methodology can be used to enhance analyses of the impacts of pharmacological interventions, as well as physiological and pathophysiological processes on RedOx status along with mitochondrial dynamics in most cell types.
Identification of Inertial Parameters for Position and Force Control of Surgical Assistance Robots

Surgeries or rehabilitation exercises are hazardous tasks for a mechanical system, as the device has to interact with parts of the human body without the hands-on experience that the surgeon or physiotherapist acquires over time. For various gynecological laparoscopic surgeries, such as laparoscopic hysterectomy or laparoscopic pelvic endometriosis, Uterine Manipulators are used. These medical devices allow the uterus to be suitably mobilized. A gap needs to be filled in terms of the precise handling of this type of devices. In this sense, this manuscript first describes the mathematical procedure to identify the inertial parameters of uterine manipulators. These parameters are needed to establish an accurate position and force control for an electromechanical system to assist surgical operations. The method for identifying the mass and the center of mass of the manipulator is based on the solution of the equations for the static equilibrium of rigid solids. Based on the manipulator inertial parameter estimation, the paper shows how the force exerted by the manipulator can be obtained. For this purpose, it solves a matrix system composed of the torques and forces of the manipulator. Different manipulators have been used, and it has been verified that the mathematical procedures proposed in this work allow us to calculate in an accurate and efficient way the force exerted by these manipulators.
Food properties handbook

WATER ACTIVITY AND SORPTION PROPERTIES OF FOODDefinition:Water ActivityWater Activity Measurement:Colligative Properties MethodsMethod Based on Equilibrium Sorption RateMethod Based on Hygroscopicity of SaltsMethods Using Hygrometric InstrumentsMeasurement Based on Isopiestic TransferMeasurement Based on Suction PotentialSelection of a Suitable MethodWater Activity Prediction:Prediction Model for Ideal SolutionsReasons for Non-Ideal Behavior of SolutionsWater Activity Prediction Models for Non-Ideal SolutionsLimitations of the Water Activity Prediction Models in Case of FoodsSorptions Isotherms:Hysteresis in Sorption IsothermsTheories of Sorption HysteresisIsotherm ModelsTemperature Shift of Isotherms:Shift Above Frozen StateWater Activity Below FreezingEffect of Pressure on Water ActivityWater Activity of Multicomponent Mixture:Equilibrium Water Activity of Multicomponent Mixture from Individual IsothermApplications of Water Activity:Product Stability DeterminationProcess Design and ControlIngredient SelectionPackaging SelectionThermodynamic Properties PredictionStructure InvestigationNomenclaturePHASE TRANSITIONS IN FOODPhysics of the Phase Transition:Cooling and Heating CurvesPhase DiagramState DiagramThermal Behavior by Heat Flow CalorimetryGelatinizationCrystallizationCollapse and Sticky TemperatureState of Water in Foods:NMR Reluxation of Water in FoodsDSC Caloric State of Water in FoodsState of Water from Sorption IsothermDielectric State of Water in FoodsState of Water from Suction PotentialState of Water from Indirect MethodsFreezing Point:Freezing Point Measurement MethodsFreezing Points of FoodsFreezing Point Prediction ModelsGlass Transition Temperature:Glass Transition Measurement MethodsGlass Transition Temperatures of FoodsGlass Transition Temperature PredictionGelatinization in Foods:Measurement Techniques of Gelatinization TemperatureGelatinization Temperature of Food ComponentsGelatinization Temperature PredictionCrystallization in Foods:Crystallization DynamicsCrystallization KineticsCollapse and Sticky Temperature:Measurement of Collapse TemperatureApplications:Importance of Freezing Point in Food ProcessingApplication of Glass Transition TemperatureDecomposition, Fusion, and CrystallizationImportance of GelatinizationCollapse and Sticky PointNomenclaturePHYSICAL PROPERTIES OF FOODDefinition:DensityPorosityShrinkageSurface Area and VolumeMeasurement Techniques:Volume MeasurementPorosity MeasurementSurface Area MeasurementExperimental Data:Density Prediction ModelsPorosity Prediction ModelsShrinkage Prediction ModelsSurface Area Prediction ModelsApplications:Process DesignFood Products Quality DeterminationNomenclatureSPECIFIC HEAT, ENTHALPY, AND LATENT HEAT OF FOODDefinition:EnergyEnthalpySp
Two new lichen species of the genus Ramalina (Ramalinaceae) from China

Abstract. Two corticolous species of Ramalina are described as new to science from China. Ramalina ailaoshanensis is described from Mt. Ailaoshan in southwest China. It is characterized by dichotomous narrow branches with sparse raised or tuberculate pseudocyphellae, without warts, absence of chrondroid tissue in the cortex, the tips of branchlets becoming thin, terete and curled backwards, and lacking soredia and isidia. Ramalina qinlingensis is described from Mt. Qinling in northwest China. It is characterized by broad branches with distinct pseudocyphellae, many warts and branchlets, the discontinuous chrondroid tissue in the cortex, and lacking soredia and isidia. Both species were recovered as monophyletic and well-supported in a maximum-likelihood phylogeny inferred from ITS sequence data.
Reproductive traits in dolphinfish Coryphaena hippurus Linnaeus, 1758 along the coastal waters of Karnataka, south-eastern Arabian Sea

The maturity, sex ratio, gonadosomatic index (GSI) and fecundity of Coryphaena hippurus was investigated from 347 specimens collected along Karnataka coast, south-eastern Arabian Sea from August 2017 to May 2018. Overall sex ratio of 1:3.5 (male:female) indicated dominance of females in the fishery and differed significantly (p<0.05) in all the months, except in January, May and December. The fork length (FL) at 50% maturity (Lm50) was estimated at 47.5 cm for both males and females. The pattern of GSI and maturity stages suggests peak spawning activity in August-September. However, the incidence of fishes capable spawning all through the year in varied proportions implied that spawning activity occurs throughout the year. The absolute fecundity estimates varied from 1,00,298 eggs for a female of 53.5 cm FL to 6,15,267 eggs for female of 113 cm FL with an average fecundity of 3,18,446 eggs per female. Thefecundity of fish increased with body length and weight as well as with gonad weight. The biological information on maturation, reproductive cycle, spawning periodicity and fecundity of C. hippurus in the tropical Arabian Sea could be useful for developing appropriate management tools and conservation strategies for this commercially important fish species.
Structural-colored silk based on Ti–Si bilayer

In this Letter, Ti–Si bilayer was deposited on white silk to achieve coloration of the silk. By controlling the thickness of the Ti layer and Si layer, the saturation and the hue of the color on the silk could be preciously modulated, respectively. The structural colors on the silk could cover the major colors in the International Commission on Illumination 1931 chromaticity diagram, and it exhibits good durability, which is demonstrated by rubbing and stretching treatments. The developed textile coloration method may provide an eco-friendly technology in the silk dyeing industry.
Arthrobacter Sp. Strain MF-2 Induces High-Mg Calcite Formation: Mechanism and Implications for Carbon Fixation

ABSTRACT To better understand the mechanism of formation of carbonate minerals by microbes, culture experiments with Arthrobacter sp. strain MF-2 were carried out using M2 medium without carbonate ions for 50 days. A series of sterile control experiments without bacteria were run simultaneously. During the incubation, cell density, the quantity of precipitate, the extracellular polysaccharide (EPS) content, the activity of carbonic anhydrase (CA), the low molecular weight organic acid concentration, the pH, the electrical conductivity, and the Ca2+ and Mg2+ concentrations of the medium were determined. The morphologies of the precipitated carbonates were observed using scanning electron microscopy, and their mineral species were determined by X-ray diffraction. The results demonstrated that the quantity of precipitate in the biotic experiments increased gradually with the incubation time; precipitate was not obtained in the abiotic experiments. The average precipitation rate correlated positively with the cell density and the EPS content, with r = 0.64 and 0.61, respectively. This suggests that bacterial cells and EPS effected carbonate precipitation. Carbonate ion incorporation into minerals results from carbon dioxide hydration, promoted by microbial secretion of CA by bacteria. These findings contribute to the ongoing search for feasible mechanisms for the sequestration of carbon dioxide in the subsurface, in this case mediated by microorganisms.
Analysis of the Theory of Planned Behavior on Intention to Buy Halal Food Products

Consciousness in consuming halal food or products is still ignored by Muslims in Indonesia, which is a country with the largest Muslim population in the world, even though it is a must. Even halal food is defined as food that is healthy, clean and hygienic. This study aims to analyze the behavior of consuming halal food using Theory of Planned Behavior (TPB) and to identify how the purchase intention of Muslims in Indonesia, especially in Jakarta, in buying snacks labeled halal. Using probability sampling techniques, out of 200 questionnaires distributed among students in Jakarta, only 152 were returned and only 137 qualified for further analysis. The quantitative method was chosen for this study with the help of the IBM SPSS version 25 application. After going through the process and variables of Religiosity, Subjective Norm and Perceived Behavioral Control simultaneously affected the Intention to Buy Halal Food variable by 42.6% while the remaining 57.4% was affected. by other variables not examined in this study. To the next researcher, they should choose a wider research sample so that the research results can be more generalized. Can add other variables that are not examined in this study for further research.More insight into the Theory of Planned Behavior (TPB) on Intention to Buy Halal Food by using other variables and research objects.
Sliding-mode controller for a photovoltaic system based on a Cuk converter

The wide range of step-up and step-down input-output voltage characteristic of the Cuk converter makes it a good candidate to interface photovoltaic arrays in both classical and distributed maximum power point tracking systems. Because its two inductor structure, Cuk converters have continuous input and output currents, which reduce the additional filtering elements usually required for interfacing dc/dc converter topologies. However, PV systems based on Cuk converters usually do not provide formal proofs of global stability under realistic conditions, which makes impossible to ensure a safe operation of the PV installation. Therefore, this paper proposes a high performance sliding-mode controller for PV systems based on Cuk converters, which regulates the PV voltage in agreement with the commands imposed by a MPPT algorithm, rejecting both load and environmental perturbations, and ensuring global stability for real operation conditions. Finally, the performance of the regulated PV system is tested using both simulations and experiments.