Miracle-dz/UniFAR-FTUs huggingface dataset:
Notes on Analysis and Severe-Storm Forecasting Procedures of the Air Force Global Weather Central

Abstract : This collection of notes discusses the various types of severe- weather air masses, how severe weather systems form, which parameters best define the existence and intensity of severe weather, and how to use local information to better forecast the occurrence of phenomena at individual stations. Specifically, wind gust and hail size forecasting techniques and the usefulness of various stability indexes are presented. Also, a chapter on severe weather in tropical air masses is included. A number of detailed case studies are in the report to help the reader visualize how forecasting concepts are applied, and to emphasize the importance of forecasting experience. The revised material concentrates on the application of computer-derived aids to severe weather forecasting produced by the Air Force Global Weather Central. Foremost among these aids are analyses and prognoses of the Severe Weather Threat (SWEAT) Index.
systems for measuring plasma

Contents This is the first time that PAG determination using two different antisera raised against PAG-molecules purified from both caprine (RIA-706) and bubaline placentas (RIA-860) is reported in water buffalo. Ninety-eight buffalo cows, belonging to a buffalo herd subjected to a synchronization and artificial insemination (AI) program, were enrolled in this study. Blood samples were taken on days 0 (AI), 23, 25, 28, 30 and 45. Pregnancy was confirmed by ultrasonography on days 28 and 45. The blood of 20 buffaloes that had calved was tested every five days from the day of calving until day 50 post-calving. Differences in PAG concentrations were observed between pregnant and non pregnant buffaloes starting from day 23 post AI by using both RIA-706 and RIA-860 (P < 0.001). However, estimated mean concentrations of PAG measured by RIA-706 were higher than RIA-860 (P<0.001) and Bland-Altman analysis showed biases ranged from 0.0 ng/mL at day 23 to 0.79 ng/mL at day 28 post AI. Moreover, RIA-706 showed greater sensitivity and accuracy both at 23 and 25 days
Using H5P to design and deliver interactive laboratory practicals

We describe the use of HTML5P (H5P) content collaboration framework to deliver an interactive, online alternative to an assessed laboratory practical on the Biomedical Cell Biology unit at the Manchester Metropolitan University, UK. H5P is free, open-source technology to deliver bespoke interactive, self-paced online sessions. To determine if the use of H5P affected learning and student attainment, we compared the student grades between three cohorts: the 18/19 cohort who had “wet” laboratory classes, the 19/20 cohort who had “wet” laboratory classes with additional video support and the 20/21 cohort who had the H5P alternative. Our analysis shows that students using the H5P were not at a disadvantage to students who had “wet” laboratory classes with regards to assessment outcomes. Student feedback, mean grade attained and an upward trend in the number of students achieving 1 st class marks ( ≥ 70 %), indicate H5P may enhance students’ learning experience and be a valuable learning source augmenting traditional practical classes in the future.
Low temperature plasmas and electrosprays

The paper reviews the state of the art in the field of interaction of low temperature plasmas generated during electrospraying with the liquid cone and jet. Many studies are focused at practical applications of electrospraying, for example to mass spectrometry, electrospinning of nanofibers, thin film deposition, nanoparticle production, ink-jet printing, etc, but the phenomenon of electrically generated plasma due to gas ionization accompanying the electrospraying is frequently ignored. The effect of electrical discharge on the electrospraying process depends on the type of the discharge. When glow corona or onset streamers are generated, the electrospray is stabilized in the classical cone-jet mode, however, for breakdown streamers, sparks, or arc discharges, the electrospraying process is disturbed and irregular modes (spindle, multispindle or ramified jet) occur. The electrospray-discharge interaction phenomena have been studied by photographic recording, electric current measurements, mass spectrometry and optical emission spectroscopy. Some studies show that the current carried by the ions generated in this plasma and flowing through the drift region to the opposite electrode can be higher than the current carried by the electrosprayed droplets. This effect has been proved by separation of both currents using a specially designed device. To prevent the distortion of the electrospray process, various strategies have been developed: modification of the electric field in the vicinity of capillary nozzle, stabilization of the glow corona, reduction of the surface tension of liquid. Recently, the physical processes and phenomena occurring in electrical discharge plasmas during electrospraying of liquids find new application in decontamination of liquids or in material processing. The advantage of the coupled electrospray-plasma process is that the liquid atomization is combined with plasma chemical processes within the same device, by using the same power supply applied to the capillary nozzle.
Large-Scale 3D Shape Retrieval from ShapeNet Core55

With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape content is becoming increasingly prevalent. Therefore, the need for shape retrieval algorithms to handle large-scale shape repositories is more and more important. This track aims to provide a benchmark to evaluate large-scale shape retrieval based on the ShapeNet dataset. We use ShapeNet Core55, which provides more than 50 thousands models over 55 common categories in total for training and evaluating several algorithms. Five participating teams have submitted a variety of retrieval methods which were evaluated on several standard information retrieval performance metrics. We find the submitted methods work reasonably well on the track benchmark, but we also see significant space for improvement by future algorithms. We release all the data, results, and evaluation code for the benefit of the community.
Documents de Travail du Centre d ’ Economie de la Sorbonne General equilibrium and fixed point theory : A partial survey

Focusing mainly on equilibrium existence results, this paper emphasizes the role of fixed point theorems in the development of general equilibrium theory, as well for its standard definition as for some of its extensions. Mathematics Subject Classification: Primary 47H10, 47H11, 47N10, 49J53, 54H25, 58C30
The Relationship Between Maternal Childhood Emotional Abuse/Neglect and Second Generation Parenting Outcomes: A Systematic Review

This paper reviews the evidence concerning the association between reported maternal childhood experience of emotional abuse and/or neglect and subsequent parenting outcomes. Relevant studies were identified through a systematic search of four electronic databases using a pre-determined keyword search. Reference lists of included papers were reviewed and key authors in the field contacted to ascertain whether other papers were available. Twelve studies which met our eligibility criteria were included for review. Tentative support was found for a relationship between maternal childhood emotionally abusive/neglectful experiences and a range of adverse parenting outcomes, including increased parenting stress and maltreatment potential, lower empathy and greater psychological control. However, limitations within the research (e.g. small sample sizes, retrospective designs) reduce the confidence with which we can draw firm conclusions. Recommendations are offered for future research together with an outline of clinical implications arising from this review. Key Practitioner messages:  There is tentative evidence that maternal childhood experience of emotional abuse/neglect may be associated with subsequent deficits in parenting.  Maternal childhood experiences of being parented should be considered when attempting to make sense of children's difficulties and/or problems in the parentchild relationship.
Isolation of Monochloroacetic Acid Biodegrading Bacteria from Tigris River

: Organic compounds containing halogens are widely dispersed throughout the world, resulting in different types of pollution. One of the most common xenobiotics used in agricultural activities is monochloroacetic (MCA) which was Isolated from Iraqi mud in the Tigris River. This bacterial strain was known as SW2. Both standard universal primers Fd1 and rP1 were used with the colony PCR method for bacterial identification before being sent out for sequencing. Basic Local Alignment Search Tool nucleotide sequences and information were analyzed (BLASTn). The phylogenetic tree was constructed using the 16S rRNA sequence to determine their evolutionary distance. The Neighbor-Joining method was used to infer the evolutionary history. The Neighbor-Joining method was used to infer the evolutionary history. There is a 96 percent match between the SW2 bacterium and another type of aerobic Gram-Negative Bacteria. Strain SW2 ( Pseudomonas sp.) was inoculated for two days and yielded colonies that were small, non-spore-forming, and rod-shaped. Growth slowed slightly after 48 hours. The release of chloride ions as a result of the degradation of MCA was seen using a halide ion test. Biochemical tests backed up the choice of the genus’s name as well. As a result, bacteria found in the river are capable of utilizing and degrading the MCA compound. In conclusion, this study confirmed the potential ability of the isolated bacterial strain of utilizing MCA, especially from contaminated environments with the pragmatic application of the bacterial strains to degrade residual herbicide.
An Optimization Framework for Load and Power Distribution in Wind Farms: Low Wind Speed

Abstract In this paper, an optimization approach has been developed for wind farms such that the reference signals for each wind turbine is produced and load reduction on each of them is taken into account. The proposed approach is based on a spatially discrete model of the farm which provides wake information and delivers an approximation of wind speed all over the farm. The farm controller can affect the generated wake of each wind turbine either by changing the pitch angle and power reference or rotor speed reference signals, and this is the motivation for the proposed optimization method for a farm. The problem of determining the reference signals for wind turbine controllers is considered separately for low and high wind speed regions. However, because of the complexity of the high wind speed scenario formulated with this approach, only the problem in low wind speed has been scrutinized. Accordingly, in low wind speed, the reference signals for rotor speed are adjusted, taking the trade-off between power maximization and load minimization into account.
A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

The occupants ’ presence, activities, and behaviour can significantly impact the building ’ s performance and energy efficiency. Currently, heating, ventilation, and air-conditioning (HVAC) systems are often run based on assumed occupancy levels and fixed schedules, or manually set by occupants based on their comfort needs. However, the unpredictability and variability of occupancy patterns can lead to over/under the conditioning of space when using such approaches, affecting indoor air quality and comfort. As a result, machine learning-based models and methodologies are progressively being used to forecast occupancy behaviour and routines in buildings, which may subsequently be used to aid in the design and operation of building systems. The present work reviews recent studies employing machine learning methods to predict occupancy behaviour and patterns, with a special focus on its related applications and benefits to building systems, improving energy efficiency, indoor air quality and thermal comfort. The review provides insight into the workflow of a machine learning-based occupancy prediction model, including data collection, prediction, and validation. An organised evaluation of the applicability or suitability of the different data collection methods, machine learning algorithms, and validation methods was carried out.
Cognitive-behavior therapy for children: treating complex and refractory cases

Section I: General Issues in Refractory Cases Chapter 1: The Challenge of Difficult Cases Chapter 2: Adjustments in Treatment for Limited or Non-Responding Cases in Contemporary Cognitive-Behavioral Therapy with Youth Chapter 3: Adjustments in Treatment for Limited or Non-Responding Adolescents in Contemporary CBT Section II: Internalizing disorders Chapter 4: Obsessive-Compulsive Disorder in Children and Adolescents: Treating Difficult Cases Chapter 5: Separation Anxiety Chapter 6: Cognitive Behavioral Therapy for Refractory Selective Mutism Chapter 7: Specific Phobias Chapter 8: Children's Refractory Posttraumatic Stress Disorder: An Ecological, Evidence-Based Perspective Chapter 9: Better but not Well: Strategies for Difficult-to-Treat Youth Depression Chapter 10: Cognitive Behavior Therapy for Eating Disorders in Childhood and.
The Impact of Macroeconomic Variables on Financial Market Performance in Egypt: An Empirical Analysis for the period (1980-2018)

The impact of macroeconomic variables on the financial market performance has been a hot topic for decades. Thus, this study focused on investigating the effect of oil price on the financial market performance and used a Vector Error Correction Model estimation technique on Egypt data from 1980 to 2018. the results revealed the long-run causality between the independent variables towards the dependent variable. Still, in the short-run, only Inflation and interest rates have causality effects on financial market performance. Also, the exchange rate and oil price do not have causality running to financial market performance. The results also emphasized that the short-run and long-run causality effects should be considered guidelines for policymakers to avoid misleading macroeconomic strategies in future strategic planning. The speed of adjustment reported from estimating the VECM is (-9.5%). Also, the model was found stable from using both the CUSUM and CUSUMQ statistics
Understanding bushfire : trends in deliberate vegetation fires in Australia

Australia is the most fire-prone continent and country on Earth. While fire is an essential component of many ecosystems, a natural instrument for maintaining biodiversity and hence a tool that enables many species to survive, not all fires are natural or beneficial. Humans play a significant role in modifying the timing, frequency and size of bushfires, in some cases to the detriment of the environment and to the endangerment of property and human life. While some human-caused fires are for the purposes of managing the environment, protecting human life and property, or the result of accidental actions, many fires occur through negligence, carelessness, mischievousness, or outright maliciousness, with little regard for either the environment or people who might be adversely affected. It is this latter group of fires - herein referred to as deliberate ignitions - that forms the central theme of this report. This report represents the first concerted effort to document the number, size and distribution of potentially illegal fires lit in vegetation in Australia. The report is based on vegetation fire data supplied by a large number of fire agencies across Australia. It is technical in nature, which reflects the fact that in many instances the information provided by fire services is, in itself, complex. The report provides a basis for guiding research and policies adopted by fire agencies, other researchers and interested individuals. It forms the basis for a number of smaller publications that summarise the key findings of the document.
Elucidation of the primary structure of the lantibiotic epilancin K 7 from Staphylococcus epidermidis K 7 . Cloning and characterisation of the epilancin-K 7-encoding gene and NMR analysis of mature epilancin K 7

Citation for published version (APA): Kamp, M. V. D. , Hooven, H. W. V. D. , Konings, R. N. H. , Bierbaum, G. , Sahl, H-G. , Kuipers, O. P., . Ven, F. J. M. V. D. (1995). Elucidation of the primary structure of the lantibiotic epilancin K7 from Staphylococcus epidermidis K7. Cloning and characterisation of the epilancin-K7-encoding gene and NMR analysis of mature epilancin K7. European Journal of Biochemistry, 230(2). DOI: 10.1111/j.14321033. 1995.tb20600. x
The time course of familiar metonymy

• Users may freely distribute the URL that is used to identify this publication. • Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research. • User may use extracts from the document in line with the concept of ‘fair dealing’ under the Copyright, Designs and Patents Act 1988 (? ) • Users may not further distribute the material nor use it for the purposes of commercial gain.
University of Birmingham Managing global engineering networks part II:

: The second part of this paper reports our query into the essential characteristics of effective engineering networks in the current business environments through case studies focusing on engineering design, manufacturing engineering, and engineering services. The engineering networks of four global leading companies were studied to refine, enrich and extend the preliminary understandings gained from the first part of this paper. The case studies suggested essential characteristics of effective engineering networks in four main areas, including (i) efficient engineering processes, (ii) effective engineering learning, (iii) flexible engineering resources, and (iv) digital engineering environment. This contributes to the theoretical understanding of international engineering operations by bridging a missing link between the engineering network theories and the unique nature of engineering. It is expected that the findings can help managers to improve the performance of their engineering networks and facilitate the effective interface management between engineering and other functional areas.
Autonomous Underwater Vehicle Model-Based High-Gain Observer for Ocean Current Estimation

Autonomous Underwater Vehicles (AUVs) are being used for various ocean missions, and there are advantages in applying more accurate dynamic models for the vehicle control. In this paper, a high-gain observer (HGO) based on an AUV dynamics model in currents was presented to obtain three-dimensional water current velocities estimates. The current velocities were decided from the difference between the vehicle’s absolute velocities and the relative velocities estimated by the model-based HGO. The observer gain for the HGO was determined by solving the Linear Matrix Inequality (LMI) describing the estimate error dynamics. By adapding the AUV model-based HGO, the vehicle’s relative velocity was estimated, then the current velocity vector was subsequently calculated. AUV numerical simulations and field test results were used to confirm the effectiveness of the proposed HGO, and the improvements over previous solutions.
Mitigate the adverse effect of chilling by cultivate tomato plants under different types of mesh cover for low tunnels

Tomato plants are highly sensitive to chilling stress so this experiment was conducted during successive winter seasons of 2020/2021 and 2021/2022 to investigate the possibility of sustaining production and quality of tomato yield under cold conditions by using different types of mesh cover for low tunnels. Two commercial cultivars, i.e., Super gold F 1 and Super streen F 1 were used. Seedlings were transplanted under different types of mesh cover for low tunnels. Three types of mesh cover (63%, 65%, 73%) had done to cover the plants of all tested seasons compared to open field condition (control "without cover"). Results show that significant differences were observed among the two hybrid varieties of tomato studied, in terms of their vegetative growth characteristics (plant height, number of branches, number of leaves, fresh weight, dry weight and leaves area) as well as yield and fruit quality characteristics (Fruit set, total yield, firmness, T.S.S. and Vit. C. ‘Super gold’ exhibited significantly higher values for these characteristics, compared to ‘Super strain B’. Chilling reduced the growth parameters (plant height, number of leaves, number of branches, plant fresh weight, plant dry weight) for control plants (without cover) compared to the coverage treatments (63%, 65%, 73%). Significant highest results in the growth, chemical composition of tomato leaves as well as yield and fruit quality parameters were obtained with covering tomato plants by white mesh cover 63% flowed by 65% of treatments which were best than the chilled plants. Concerning the interaction between hybrid varieties and covering treatments, it can be noticed that Super gold F 1 which grown under white mesh cover 63% recorded a highly significant increases in plant height, number of branches, number of leaves, fresh weight, dry weight, leaves area, N, P, K, total chlorophyll, total proline, total sugars contents, fruit set, total yield, firmness, T.S. S. and Vit. C when compared to Super streen F 1 which grown in open field (without coverage).
Rectal and vaginal tissue from intravenous VRC01 recipients show protection against ex vivo HIV-1 challenge

RESULTS. Median VRC01 levels were quantifiable in serum (96.2 μg/ml or 1.3 pg/ng protein), rectal tissue (0.11 pg/ng protein), rectal secretions (0.13 pg/ng protein), vaginal tissue (0.1 pg/ng protein) and cervical secretions (0.44 pg/ng protein) from all recipients. VRC01/IgG ratios in male serum correlated with those in paired rectal tissue (r=0.893, P=0.012) and rectal secretions (r=0.9643, P=0.003). Ex vivo HIV-1Bal26 challenge infected 4/21 rectal explants from VRC01-infused versus 20/22 from controls (P=0.005); HIV-1 Du422.1 infected 20/21 rectal explants of VRC01 recipients and 12/12 from controls (P=0.639). HIV-1Bal26 infected 0/14 vaginal explants of VRC01 recipients compared to 23/28 control explants [. ] Clinical Medicine AIDS/HIV
Estimated Human Capital Externalities in an Endogenous Growth Framework

To better understand the quantitative implications of human capital externalities at the aggregate level, we estimate a two-sector endogenous growth model with knowledge spill-overs. To achieve this, we account for trend growth in a model consistent fashion and employ a Markov-chain Monte-Carlo (MCMC) algorithm to estimate the model's posterior parameter distributions. Using U.S. quarterly data from 1964-2017, we find significant positive externalities to aggregate human capital. Our analysis further shows that eliminating this market failure leads to sizeable increases in education-time, endogenous growth and aggregate welfare.