Miracle-dz/UniFAR-FTUs huggingface dataset:
The POSE study-panic control treatment versus panic-focused psychodynamic psychotherapy under randomized and self-selection conditions : study protocol for a randomized controlled trial

The POSE study-panic control treatment versus panic-focused psychodynamic psychotherapy under randomized and self-selection conditions: study protocol for a randomized controlled trial. The POSE study-panic control treatment versus panic-focused psychodynamic psychotherapy under randomized and self-selection conditions: study protocol for a randomized controlled trial. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Trials Trials This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text (HTML) versions will be made available soon. permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver Abstract Background
Demand side management analysis of a commercial water loop heat pump system

Demand side management (DSM) strategies can be used to reduce customers’ demand at peak times, change the timing of end-use consumption from high to low-cost periods and increase consumption during off-peak periods. They can be implemented by using the energy flexibility available in the final users’ applications, energy storages or control systems to turn on/off end-users’ devices when required . Being intensive energy consumers because of a high electric energy demand (refrigeration accounts for about 40 % of the yearly energy consumption), supermarkets are ideal candidates for a DSM approach. This work shows the results of a DSM analysis carried out for a refrigeration and HVAC plant in a supermarket coupled with a Water Loop Heat Pump (WLHP) system. The water loop is used as a heat source/sink for the refrigeration unit supplying the cooling capacity required by food preservation, and for several heat pumps, which provide heating/cooling inside the supermarket building. The system is modelled in TRNSYS and the role of the water loop and its thermal inertia to provide energy flexibility is investigated. The system design and control strategy are modified in order to reduce the electricity costs in presence of demand response programs based on real-time
Development of a Level-0 Geoprocessing Platform for a Multispectral Remote Sensing Payload

—This thesis presented an overview of the development of a geolocating algorithm as part of a geoprocessor for raw satellite imagery. This algorithm was devised for and limited by the speciﬁcations of a state-of-the-art multispectral telescope designed by Aistech Space, hosted onboard the Guardian spacecraft, which will observe Earth through the visible, near infrared, and thermal infrared bands of the electromagnetic spectrum. The geolocation algorithm presented here is composed of the combination of two models. The ﬁrst is a physical model, which makes use of spacecraft telemetry and external satellite-tracking data to approximate the geographical center of a sensed scene. Secondly, an optical model obtains a reference Landsat image based on the timestamp and approximated location of the sensed scene and utilizes image processing techniques to pinpoint a more precise geographical location of the sensed scene within acceptable limits. This performance was achieved in 77% of the cases considered. To conclude, a roadmap of the subsequent development topics and their relevance was laid out.
Prompt, Condition, and Generate Classification of Unsupported Claims with In-Context Learning

Unsupported and unfalsifiable claims we encounter in our daily lives can influence our view of the world. Characterizing, summarizing, and – more generally – making sense of such claims, however, can be challenging. In this work, we focus on fine-grained debate topics and formulate a new task of distilling, from such claims, a countable set of narratives. We present a crowdsourced dataset of 12 controversial topics, comprising more than 120k arguments, claims, and comments from heterogeneous sources, each annotated with a narrative label. We further investigate how large language models (LLMs) can be used to synthe-sise claims using In-Context Learning. We find that generated claims with supported evidence can be used to improve the performance of narrative classification models and, additionally, that the same model can infer the stance and aspect using a few training examples. Such a model can be useful in applications which rely on narratives , e.g. fact-checking.
DTFSeg: A Dynamic Threshold Filtering Method for Semi-Supervised Semantic Segmentation

Recently, the research on semi-supervised semantic segmentation has made rapid progress, where a large number of unlabeled images with pseudo labels are adopted for boosting performance. Despite their achievement, how to get high-quality pseudo labels still remain challenging. Most methods would use complexly designed threshold strategies for pseudo tag generation. In this article, we propose a semi-supervised semantic segmentation method based on simple threshold filtering and self-training. In the process of generating pseudo-labels, the method deals with the thresholds of different categories of image pixels separately. It filters the labels of each category of pixels by dynamically changing thresholds to guide the model to train. This method is a general strategy and can be combined with the existing semi-supervised semantic segmentation methods based on generating pseudo-labels. We fully demonstrate its effectiveness on the Cityscapes dataset and UAVid dataset.
Variation of reference evapotranspiration and its teleconnection with multiple large‐scale climate oscillations in the Yangtze River Delta, China

Evapotranspiration is a key factor in regional hydrological processes and water resources management. Long‐term variation of evapotranspiration affects the regional climate wet/dry tendency and agricultural production profoundly. Thus, reference evapotranspiration (ET0) values for 46 meteorological stations in the Yangtze River Delta (YRD) were calculated for 1957–2014 using the FAO‐Penman–Monteith (FAO‐PM) method. The variation patterns of ET0 values were determined based on the principal component analysis (PCA) method. In addition, the methods of cross wavelet transform (CWT), Kendall tau‐b correlation coefficient determination and cross‐correlation method were applied in the assessment of the correlation between ET0 values and large‐scale climate oscillations, such as the North Atlantic Oscillation (NAO), the Pacific Decadal Oscillation (PDO), the Oceanic Niño3. 4 Sea Surface Temperature Index (NINO) and the Indian Ocean Dipole (IOD). Annual ET0 patterns for three dominant geographic subregions of the YRD (the southeastern, northwestern and mid‐eastern) were determined. There were only several discontinuous lower timescale bands between the three change patterns of annual ET0 and climate oscillations. In seasonal scale, the temporal patterns of ET0 changed simultaneously with the NAO, NINO and PDO in spring, the PDO in summer and the NAO in winter. The monthly ET0 was mostly influenced by the NAO and IOD in January, the IOD in February, the IOD and NINO in March, the NINO in June, the PDO in July to October, the NINO, IOD and NAO in October and the NINO in December. The lag times for the ET0 changes were about 0–5 months for the NAO and NINO, 1–2 months for the PDO and 4 months for the IOD.
Evaluation of TMPA 3B42V7, GPM IMERG and CMPA precipitation estimates in Guangdong Province, China

Three satellite rainfall products (3B42V7, IMERGV05/V04/V03, and China hourly Merged Precipitation Analysis product) are evaluated using measurements from a dense rain gauge network as reference in Guangdong Province, China from April 2014 to December 2016. The three products are compared with gauges in annual, monthly, daily and hourly accumulation, and at gridded, sub‐regional and regional scales. An error decomposition approach is employed to separate the total bias into Hit, Miss and False components. Overall, the CMPA estimate is the best in agreement with gauge observations. The improvement of IMERGV05 over 3B42V7 is notable, especially in reducing the hit bias and missed precipitation, resulting in better detection of the light rain and heavy rain. The enhancement of IMERG is more significant at the 3‐hr scale than daily scale. IMERGV05 shows better performance than its previous versions especially for IMERGV03, which had an abnormal blocky pattern mainly from July to September over the Pearl River Delta area. The three products have different error characteristics and show large spatial variations. 3B42V7 and IMERG have large areas of overestimation in the mountainous areas and underestimation in the coastal areas, while CMPA is characterized by an alternate distribution of small positive and negative values. The overestimation of precipitation is partially attributed to the positive hit biases that falsely estimate the precipitation from moderate intensity to heavy rainfall by the three products.
Prototypes for problem exploration on early stages of design

Prototyping is a crucial element of the design activity. Prototypes serve as temporary and incomplete embodiments of design ideas with which designers explore the design problem as well as propose and refine possible solutions to the problem. Given its deep connection to solutions, prototyping has been typically associated with the later stages of design. A stage in which the problem has been sufficiently mapped that a solution can be proposed and refined based on the discovery of requirements. Yet the question of what it means to prototype for problem exploration remains. To provide an answer to this question, first we take a quick look at what the role of prototypes is in design and more specifically what their role might be in the early stages of design. And later we discuss from the perspective of the reflective conversation that the designer has with the artifact it has created and what we reflect on when dealing with problem exploration. Subsequently some illustrative examples are presented o f unintentional problem exploration prototyping from student design projects. To conclude, a reflection of the importance of design education in preparing practitioners to better deal with different types of prototyping beyond solution refinement
Cropland expansion drives vegetation greenness decline in Southeast Asia

Land use and land cover changes (LUCC) is a key factor in determining regional vegetation greenness, impacting terrestrial carbon, water, and energy budgets. As a global hotspot of LUCC, Southeast Asia has experienced intensive cropland and plantation expansions in the past half-century, yet their impacts on regional greenness have not been elucidated. Here, we 15 harmonized multiple land cover datasets, and used satellite-derived leaf area index (LAI) in combination with a machine learning approach to quantify the impacts of LUCC on vegetation greenness in insular Southeast Asia (i.e., Peninsular Malaysia, Sumatra, and Borneo islands). We found that regional LAI shows almost no trend (0.04 × 10 -2 m 2 m -2 yr -1 ) from 2000 to 2016, as a net effect of increased LAI (+5.71 × 10 -2 m 2 m -2 yr -1 ) due to CO2 fertilization, offset by decreased LAI mainly due to cropland expansion (-4.46 × 10 -2 m 2 m -2 yr -1 ). The impact of croplands on greenness in Southeast Asia contrasts 20 with that in India and China. Meanwhile, oil palm expansion and climate change induced only small decreases in LAI in Southeast Asia (-0.41 × 10 -2 m 2 m -2 yr -1 and -0.38 × 10
Working Climate and Counter-productive Behaviors of Teachers from the Ministry of Secondary Education in Cameroon

This research aims to show that the perceived working climate increases the counter-productive behaviors of secondary school teachers in Cameroon. Indeed, secondary school teachers increasingly develop counter-productive behaviours (aggression at work, slow work, lateness at work, absenteeism) to the detriment of respect for ethics, professional conduct and the obligation to personally ensure the public service entrusted to them. The general hypothesis is as follows: the working climate increases the counter-productive behaviors of teachers. The data collection method is the survey, and the tool is the questionnaire in the form of a measurement scale. The simple random sampling yielded a sample of 151 participants. The instrument for measuring perceived working climate is Parker & al. (2003), which is an adaptation in French of the James and Jones scale (1974); the scale of counter-productive behaviours is that of Aubé & al (2009). The results are as follows: HR1 (β= -.44; p=.00); HR2 (β=.55; p=.00); HR3 (β= -.40; p=.00); HR4 (β= -.44; p=.00); HR5 (β= -.10; p=.35). These results show that our research hypothesis are statistically significant and that HR1 ; HR3; HR4; HR5 are rejected while HR2 is confirmed. the general hypothesis is significant P<. 005 for most research hypotheses; this same general hypothesis is not validated. The perceived working climate does not increase the counter-productive behaviors of secondary school teachers in Cameroon.
Empowering Pedestrian Safety: Unveiling a Lightweight Scheme for Improved Vehicle-Pedestrian Safety

Rapid advances in technology and shifting tastes among motorists have reworked the contemporary automobile production sector. Driving is now much safer and more convenient than ever before thanks to a plethora of new technology and apps. Millions of people are hurt every year despite the fact that automobiles are networked and have several sensors and radars for collision avoidance. Each year, many of them are injured in car accidents and need emergency care, and sadly, the fatality rate is growing. Vehicle and pedestrian collisions are still a serious problem, making it imperative to advance methods that prevent them. This paper refines our previous efficient VANET-based pedestrian safety system based on two-way communication between smart cars and the cell phones of vulnerable road users. We implemented the scheme using C and NS3 to simulate different traffic scenarios. Our objective is to measure the additional overhead to protect vulnerable road users. We prove that our proposed scheme adds just a little amount of additional overhead and successfully satisfies the stringent criteria of safety applications.
Development and Validation of Spectrophotometric Method for Determination of Penicillamine (PA) in Pharmaceutical Formulation Using 4-Choro-Nitrobenzo-2-Oxa-1, 3-Diazol (NBD-CL)

A sensitive and simple spectrophotometric method has been proposed for the determination of D-Penicillamine (PA) in pharmaceutical formulations. The proposed method is based on the reaction between the PA and 4-chloro-7-nitrobenzo-2-oxa-1,3-diazole (NBD-CL) at alkaline medium (pH 10.5) to form deep brown-purple adduct, exhibiting maximum absorption (λmax) at 468nm. Under optimized reaction condition, the method was linear in the concentration range 1-15µg mL-1. The limit of detection (LOD) and limit of quantification (LOQ) were found to be 0. 11µg mL-1, 0. 38µg mL-1, respectively. The method was applied successfully to the determination of PA in pharmaceutical dosage form. A proposal of the reaction pathway has been postulated. The results were in a good agreement with those obtained with the official USP method. The method is useful for routine analysis of PA in quality control laboratories.
How the strategic to achieve corporate sustainable performance? The role of mergers, acquisitions and ownership integrations

Examine the role of Ownership Interaction on the effect of Merger & Acquisition on the company's sustainable performance. In addition, it also investigates the effect of the interaction between Merger & Acquisition and ownership integration on the company's sustainable performance. This study uses a moderated mediation model to explore the role of Merger & Acquisition on the company's sustainable performance mediated by integration ownership. Merger & Acquisition acts as an independent and moderator variable between the effect of ownership integration on the company's sustainable performance. Data was collected from 51 companies in Indonesia that carried out Merger & Acquisition corporate actions for seven years from 2015-2021. We find that the direct effect of Merger & Acquisition on integration ownership is a U-curve. Integration ownership acts as a partial mediator on the relationship between the effect of Merger & Acquisition on the company's sustainable performance. We find evidence that Merger & Acquisition plays a moderate role by amplifying the effect of ownership integration on the company's sustainable performance. This paper contributes to enriching the literature on good corporate governance oversight mechanisms related to management entrenchment. We find that the integration of ownership of a company directly participates in the Merger & Acquisition corporate action relationship which has an impact on the company's sustainable performance. The role of ownership integration on the company's sustainable performance is in line with the concept of agency theory alignment in the specific context of companies in Indonesia. We apply a moderated mediation model because we suspect that there is an interaction between Merger & Acquisition and ownership integration in different pathways from mediator to observable dependent variable.
Scientific and Technical Advisory Committee Review of the Chesapeake Bay Program Partnership’s Climate Change Assessment Framework and Programmatic Integration and Response Efforts

This Report is brought to you for free and open access by the Center for Coastal Physical Oceanography at ODU Digital Commons. It has been accepted for inclusion in CCPO Publications by an authorized administrator of ODU Digital Commons. For more information, please contact digitalcommons@odu.edu. Repository Citation Hermann, Maria; Doney, Scott; Ezer, Tal; Gedan, Keryn; Morefield, Philip; Muhling, Barbara; Pirhalla, Douglas; and Shaw, Stephen, "Scientific and Technical Advisory Committee Review of the Chesapeake Bay Program Partnership’s Climate Change Assessment Framework and Programmatic Integration and Response Efforts" (2018). CCPO Publications. 248. https://digitalcommons.odu.edu/ccpo_pubs/248
Comparison of classical and Theil-Kendall methods in assessing the significance of linear trend of precipitation in south-eastern Poland

Two methods of linear trend estimation: the ordinary least squares (OLS, parametric) and Theil-Kendall (TK, nonparametric) are compared in the paper. The comparison was made using 65 time series of annual totals, Pa, and annual daily maximum, Pmax, of precipitation, 30-year long each, recorded in the south-eastern part of Poland (the Upper Vistula catchment). The OLS and TK slope coefficients of trends revealed high similarity for both Pa and Pmax series. The signs of slopes are the same for 64 sites for Pa and 63 sites for Pmax with positive signs prevailing: the numbers of decreasing trends for Pa OLS and TK slopes were 3 and 4, respectively, and, for Pmax, 13 for both OLS and TK slopes. In trend significance testing, both methods produced similar results for Pa time series: out of 16 significant trends, 13 were determined with both OLS and TK at the same sites. For Pmax series such agreement was found for 4 trends out of 10. Spatial distribution of significant trends showed a kind of clustering in certain parts of the investigated area.
Land use and tillage effects on soil saturated hydraulic conductivity: does infiltration method matter?

Land use and tillage effects on soil saturated hydraulic conductivity: Does infiltration method matter? by Sarah Kathryn Greenwood The detrimental effects of tillage on soil hydraulic has been a focus of research for many years and is still widely researched globally. Tillage is used to prepare a seedbed to ideal conditions for plant establishment and growth. Intensification and increase in agricultural production has lead to increased concerns around tillage. Understanding how tillage effects the soil hydraulic properties is crucial in determining how to move forward with a sustainable focus. This study focuses on the effects of tillage in different land uses, using four different measurement methods. Land uses include pasture and cropping (oats) before tillage. The methods used include the tension infiltrometer, intact cores using constant head in the laboratory, Beerkan estimation of soil transfer procedure (BEST) and constant head double ring infiltration The purpose of this study is to investigate the interaction between tillage and land use which has not been conducted in previous studies. For each method investigated there is a significant effect due to tillage and land use effect. The two types of methods that have been used include infiltration data when the soil is unsaturated or saturated. Tension infiltrometer and BEST method are unsaturated methods used to determine Ksat whereas the constant head double ring infiltration and intact cores under a constant head are saturated methods. There is no significant difference in Ksat within the unsaturated or saturated methods at each land use either before or after tillage. But there is a significant difference between each of the saturated methods and unsaturated methods. The BEST method showed that in the pasture system the Ksat increased by 40.7% as a result of tillage compared to the crop system where the Ksat increased by 47.9% as a result of tillage. The tension infiltrometer showed that in the pasture system the Ksat increased by 88.3% as a result of tillage compared to cropping decreased by 13.4% as a result of tillage. The constant head double ring infiltration showed that in the pasture system the Ksat reduced by 44.6% as a result of tillage whereas in the cropping system it increased by 48.6%. The intact core under constant head showed that before tillage occurred, the pasture had a slower log 10