Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning from Internal Change Academy processes

A 2007/8 Research and Development Grant from SEDA under its Supporting and Leading Educational Change programme provided Sheffield Hallam University with the opportunity to undertake an extremely interesting and timely piece of work on learning from Internal Change Academy processes. A presentation to the SEDA Spring Conference 2009 focused on understanding the value of Internal Change Academies as a model for leading educational change and demonstrated how a simple benchmarking exercise may provide a rich source of data in leading change processes. This article focuses on the broader lessons learnt about change rather than on the practicalities and the different models of running an Internal Change Academy. That information is available in the project final report (Flint and Oxley, 2009).
A trans-diagnostic cognitive behavioural conceptualisation of the positive and negative roles of social media use in adolescents’ mental health and wellbeing

Abstract Whilst research into the association between social media and mental health is growing, clinical interest in the field has been dominated by a lack of theoretical integration and a focus on pathological patterns of use. Here we present a trans-diagnostic cognitive behavioural conceptualisation of the positive and negative roles of social media use in adolescence, with a focus on how it interacts with common mental health difficulties. Drawing on clinical experience and an integration of relevant theory/literature, the model proposes that particular patterns of social media use be judged as helpful/unhelpful to the extent that they help/hinder the adolescent from satisfying core needs, particularly those relating to acceptance and belonging. Furthermore, it introduces several key interacting processes, including purposeful/habitual modes of engagement, approach/avoidance behaviours, as well as the potential for social media to exacerbate/ameliorate cognitive biases. The purpose of the model is to act as an aide for therapists to collaboratively formulate the role of social media in young people’s lives, with a view to informing treatment, and ultimately, supporting the development of interventions to help young people use social media in the service of their needs and values. Key learning aims (1) To gain an understanding of a trans-diagnostic conceptualisation of social media use and its interaction with common mental health difficulties in adolescence. (2) To gain an understanding of relevant research and theory underpinning the conceptualisation. (3) To gain an understanding of core processes and dimensions of social media use, and their interaction with common mental health difficulties in this age group, for the purpose of assessment and formulation. (4) To stimulate ideas about how to include adolescent service users’ online world(s) in treatment (where indicated), both with respect to potential risks to ameliorate and benefits to capitalise upon. (5) To stimulate and provide a framework for clinically relevant research in the field and the development of interventions to support young people to flourish online.
Comments

include atrophine-like anticholinergic effects, quinidine-like conduction changes, blockade of noradrenaline receptors with increase of catechola mine concentrations and sympathomimetic effects on rhythm, rate and the myocardium and impaired contractility ofcardiac muscle with reduced output. In therapeuticdoses, tricycles can cause postural hypotension, tachycardia, cardiac anrhythmias and conduction defects, and in patients with cardiac disease congestive heart failure (Rose, 1977). There is evidence that they may provoke heart failure in patients without myocardial disease (Hollister, 1975) but the suspicion that they precipitate myocardial infarction is unproven. Reports of sudden unexpected death (Coull ci a! , 1970; Williams and Sherter, 1971) were not confimn@edby the findings of the Boston Collaborative Drugs Surveillance Committee (1972) who found no increase in sudden death in patients with myocardial disease receiving tricycics. Con versely, Mom ci a! (1972) found a significant excess of sudden unexpected deaths in tnicycic-treated in-patients with myocardial disease compared with a control group carefully matched for diagnosis, age, sex and duration of hospital stay. However, Avery and Winokur (1976), comparing mortality in 519 patients adequately and inadequately treated with ECT and antidepressants, failed to confirm increased mortality in the adequately treated group, nearly all of whom received imipramine or amitniptyline. They commented that it is insufficiently appreciated that depression itself carries an enhanced risk of cardio vascular death. Tnicycics provoke similar ECG changes in animals and man. In experimental cats amitriptyline induced significant S-T segment and T wave changes and conduction effects (Glisson ci a! , 1978). Dumovic and his colleagues (1976) studied the in vivoeffects until death of amitryptiline, mmipnamine,nortriptyline and doxepin on the heart rate and ECG of anaesthetized gwnea pigs; and in vitroon guinea pig atnia. Though there were no significant differences with respect to the onset of widening of QRS or prolongation of
The Power of Data: Assessing Primary Care Performance Using Routinely Collected Emergency Department Data

Demand for Emergency Department (ED) care has been rising. At least partly, this increase is driven by the failure to provide timely and high-quality primary care in the community, resulting in patients being forced to use EDs. From a system efficiency perspective, it is important for health authorities to identify Primary Care Practices (PCPs) that place a lower burden than average on EDs so that best practices can be identified and disseminated and PCPs that place a higher than average burden so that they can be supported. This paper develops and validates one such methodology using operational data routinely collected by an ED in England. To do this we focus on the subset of patients attending the ED with Ambulatory Care Sensitive (ACS) conditions. These are conditions that are possible and cost effective to treat in a non-ED setting. We use a variance decomposition approach, where we control for observed and unobserved heterogeneity, to show that approximately 37% of the variance in the proportion of ACS attendances is due to systematic differences between PCPs and such differences are large enough to be operationally relevant. Furthermore, PCPs that perform poorly using the variance decomposition approach are more likely to score poorly on patient surveys. We demonstrate that this measure is superior to measures using ACS admissions that have been used in the past literature and conclude with an exploratory study that demonstrates how this measure can be used to quantify the link between operational drivers (e.g., staffing) and PCP performance.
AUTHOR ́S COMMENT IN RESPONSE TO ESD-2021-84-RC1

Cuernavaca, Morelos, Mexico January 14th, 2022. Dear paleoclimate colleagues: It is for me a great opportunity to comment (with discussions and additional verifications) my work (esd-2021-84) that presents several important and objective elements of the lagged and recurrent climate hypothesis (LRCH) that could support the development of a consequent (novel & needed) scientific theory of climate. Although the proposed LRCH could not be considered a scientific hypothesis, it provides several important elements to develop, first a scientific hypothesis, and later, a scientific theory. Taking into account the anonymous reviewer comment (RC1), it is possible to extend and better define a supporting argumentation (written and graphically) of my work (esd-202184). Although, the RC1, after to argue about a supposed theory proposed, pointed out: “the present work cannot be considered appropriate to be published in the scientific journal ESD”, let me say that: I do not agree with this veredict.
Impact of India Economic Policies on Cotton Production vis-à-vis Comparison between Pre-Economic Liberalization Policy Period and Economic Liberalization Policy Period

Cotton, textiles, and apparel are critical agricultural and industrial sectors in India with a significant role in the growth and development of the economy directly and indirectly given its prime position as a cash crop and export commodity. This study examined the impact of India economic policies in cotton production keeping in view the pre-liberalization policy period (1980–1989) and the economic liberalization policy period (1990–2014), viz investigation of the pattern of growth rate that marked the two critical and distinct policy in the economy of this crucial sector in India. The essence is to examine the key developments that emerged domestically and internationally during these two policy periods and the challenges and opportunities the sector faced. The empirical results showed that the sector witnessed excellent boost and performance during the period of economic liberalization as compared to what was seen during the pre-liberalization period where virtually all the key indicators that influence the performance of the sector exhibited stagnation in growth status. Excellent performance witnessed during the liberalization period is largely attributed to effective introduction of technological packages, sound economical and political policies. The impressive marginal trends in cotton production during the liberalization period was stemmed by the structural deregulation of the economy and was sustained of a very long period given that all the key indicators stimulating growth and development indicated marked acceleration growth status. , while dismal marginal trend observed during the pre-liberalization period was stemmed by protectionism policy of the economy. The study recommends the need for further investments in human resource development to improve industry productivity and reduce poverty among workers in these sectors, the emergence of modern domestic retail marketing chains, and the potentially vibrant prospects for the industry that arise from a growing domestic fabric demand and new opportunities in world markets if appropriate policies and investments are undertaken. Furthermore, expansion of area currently under cotton cultivation in view adequate check on food crops to forestall danger of food security, biodiversity, agricultural crops cycle of the country in addition to agricultural extension, market liberalization, strengthening of research and networking, technology development and transfer, effective and efficient input delivery system to the farmers and guaranteed output markets is also recommended
Early intervention for schizophrenic disorders

Background Early detection and intervention in schizophrenic disorders is an important challenge for psychiatry. Method Review of literature on effective biomedical and psychosocial intervention strategies. Results Comprehensive programmes of drug and psychosocial interventions with adults who show early signs and symptoms of schizophrenic disorders may contribute to a lower incidence and prevalence of major episodes of schizophrenia. These programmes combine early detection of psychotic features by primary care services, with close liaison with mental health professionals. Long-term monitoring of signs of recurrence, with further intervention, appears essential to maintain these benefits. Conclusions Field trials demonstrate that effective early treatment strategies can be routinely applied in clinical practice.
Threshold Voltage Model for Deep-Submicrometer MOSFET's

Based on analysis on short-channel effect and drain induced barrier lowering (DIBL) effect, a threshold voltage model for high-k MOSFET's is etablished by introducing a coefficient that interrelates the two effects. Influences of various factors on threshold voltage shift are simulated and investigated, and the optimal range of k values is obtained.
Modular multilevel converter with embedded battery cells for traction drives

This thesis proposes a new modular multilevel converter with embedded cell balancing for battery electric vehicles. In this topology, the battery cells are directly connected to the half-bridge choppers of the sub-modules, allowing the highest flexibility for the discharge and recharge of each individual cell. Tht: traditional battery management system is replaced by the control of the converter, which individually balances all the cells. A new balancing algorithm is presented and discussed in. the thesis, showing that the converter generates symmetric three-phase voltages with low harmonic distortion even for significantly unbalanced cells. The thesis also analyses stationary recharge of the battery cells from both three-phase and single-phase ac sources. The performance of the converter as a traction drive is assessed in terms of torque-speed characteristic and power losses for the full frequency range, including field weakening. A simplified model for estimating conduction and switching losses for the proposed modular multilevel converter is presented and the results for a typical driving cycle are compared with a traditional two-level converter. Simulation and experimental results on a kW-size prototype have confirmed the feasibility of the proposed traction modular converter in terms of effectiveness of the cell balancing control, validity of the proposed loss model, suitability of use for traction and effectiveness of recharging operations.
Investigation of Temperature Sensitive Electrical Parameters for Power Semiconductors (IGBT) in Real-Time Applications

The temperature evolution is the most critical parameter for failure prediction in a packaged module. Therefore obtaining information of the temperature development in a module is of highest priority for reliability. As part of the condition monitoring for power electronic devices, the temperature needs to be measured in order to predict the remaining lifetime. Since temperature cannot be measured directly, temperature sensitive parameters are extracted from characteristic electrical values. In this paper possible measurement methods for the indirect determination of the chip temperature in power semiconductors are presented, analyzed and compared.
Ticks and Tick-Borne Pathogens of Black Bears (Ursus americanus) in New Jersey

Information on the role that American black bears (Ursus americanus) play in hosting ticks and tick-borne pathogens is limited. In this study, Dermacentor variabilis, Ixodes scapularis, and blood were collected from black bears (U. americanus) in northwestern New Jersey in the summer of 2015. D. variabilis was collected from more bears and in greater abundance overall. Two hundred and fifty-six adult D. variabilis from 18 bears were tested for Francisella tularensis and Rickettsia spp. by polymerase chain reaction (PCR). One to five ticks were pooled into 69 groups according to sex, species, life stage, and individual host. Rickettsia spp. were detected in 6 of 69 D. variabilis pools (8.6%). All D. variabilis were negative for F. tularensis. Twenty-nine I. scapularis (23 adults and 6 nymphs) were collected from 11 bears and were subsequently pooled into 14 groups in the same manner. Fourteen pools of I. scapularis from the bears were screened for Borrelia burgdorferi, Babesia spp. , Anaplasma phagocytophilum and Bartonella spp. by PCR. B. burgdorferi was detected in 3 of 14 pools of I. scapularis (21.4%), Babesia spp. in 2 of 14 (14.2%), A. phagocytophilum in 1 of 14 (7.1%), and Bartonella spp. in 2 of 14 (14.2%). Fourteen bear blood samples were tested for F. tularensis, Rickettsia spp. , B. burgdorferi, Babesia spp. , A. phagocytophilum, and Bartonella spp. by PCR. One of 14 bear blood samples was positive for Babesia spp. (7.1%). None of the 14 bear blood samples were positive for F. tularensis, Rickettsia spp. , B. burgdorferi, A. phagocytophilum, or Bartonella spp. Although Babesia spp. were detected in black bear blood, it remains unclear whether or not this pathogen can be transmitted from infected bears to uninfected ticks. The number of studies on this relationship is limited and these findings warrant further investigation of the black bear's potential role as a reservoir.
Can Tourism Development Reduce Gender Inequality?

This study evaluates the nonlinear relationship between gender inequality and tourism receipts using a standard quantile regression approach and advances the results with an asymmetric application. Gender inequality is a pervasive and complex phenomenon rooted in the socio-economic culture of many countries. The reasons for inequality have country-specific situations, and to gain a broader understanding, countries were grouped by their income levels to explore the relationships for different groups. The study concludes that not all countries stimulate overall gender inequality through tourism. The study results show that in all but the 10th quantile, tourism had a negative and significant relationship with gender inequality providing support for the notion that tourism helps narrow the gender gap. The exceptions were found only at the 10th quantile indicates that low-income countries with low levels of tourism development could not derive the benefits of tourism’s potential in reducing gender inequality.
Quantity Determining of Maintenance Equipments Based on Analysis of Missions Requirement

Aiming at defects in common methods of quantity determining of maintenance equipments,a new method is put forward.The quantity of maintenance equipments is given through building a model of analytic relation between maintenance missions and maintenance equipment quantity.The method takes account of the drive effects of maintenance missions on the development of maintenance equipments and offers a new approach of quantity determining of maintenance equipments.
OPTIMUM DESIGN OF GRILLAGE SYSTEMS USING CBO AND ECBO ALGORITHMS

Grillages are widely used in various structures. In this research, the Colliding Bodies Optimization (CBO) and Enhanced Colliding Bodies Optimization (ECBO) algorithms are used to obtain the optimum design of irregular grillage systems. The purpose of this research is to minimize the weight of the structure while satisfying the design constraints. The design variables are considered to be the cross-sectional properties of the beams and the design constraints are employed from LRFD-AISC. In addition, optimum design of grillages is performed for two cases: (i) without considering the warping effect, and (ii) with considering the warping effect. Also, several examples are presented to show the effect of different spacing and various boundary conditions. Finally, the results show that warping effect, beam spacing and boundary conditions have significant effects on the optimum design of grillages.
Simulation of Power Transistor in its Circuit Environment

The Gummel-Poon charge controlled bipolar junction transistor model and the diode model are applied to power electronic device simulations. Methods for determination of the parameters of the charge controlled transistor model and the diode model are presented. The emphasis is put onto those parameters which are important in power semiconductor devices. The inherent transistor and diode models in the program SPICE2 are used for the simulation purpose. A non-linear voltage source is added in series with the diode model to provide forward recovery modelling. The parameter determination methods are used to simulate the MEDL power transistor DT100, which is a 1000V, 200A device. The simulated device characteristics and the manufacturer supplied device characteristics are compared. The simulation is then extended to a high power chopper circuit and the simulated switching waveforms are compared with practical waveforms obtained. Such power circuit simulations can further be used to investigate device •behaviour under different circuit environments.
Rieger-type cycles on the solar-like star KIC 2852336

Context. A Rieger-type periodicity of 150–180 days (six to seven times the solar rotation period) has been observed in the Sun’s magnetic activity and is probably connected with the internal dynamo layer. Observations of Rieger cycles in other solar-like stars may give us information about the dynamo action throughout stellar evolution. Aims. We aim to use the Sun as a star analogue to ﬁnd Rieger cycles on other solar-like stars using Kepler data. Methods. We analyse the light curve of the Sun-like star KIC 2852336 (with a rotation period of 9.5 days) using wavelet and generalised Lomb-Scargle methods to ﬁnd periodicities over rotation and Rieger timescales. Results. Besides the rotation period of 9.5 days, the power spectrum shows a pronounced peak at a period of 61 days (about six times the stellar rotation period) and a less pronounced peak at 40–44 days. These two periods may correspond to Rieger-type cycles and can be explained by the harmonics of magneto-Rossby waves in the stellar dynamo layer. The observed periods and theoretical properties of magneto-Rossby waves lead to the estimation of the dynamo magnetic ﬁeld strength of 40 kG inside the star. Conclusions. Rieger-type cycles can be used to probe the dynamo magnetic ﬁeld in solar-type stars at di ﬀ erent phases of evolution. Comparing the rotation period and estimated dynamo ﬁeld strength of the star KIC 2852336 with the corresponding solar values, we conclude that the ratio Ω / B D , where Ω is the angular velocity and B D is the dynamo magnetic ﬁeld, is the same for the star and the Sun. Therefore, the ratio can be conserved during stellar evolution, which is consistent with earlier observations that younger stars are more active.
Aging clocks & mortality timers, methylation, glycomic, telomeric and more. A window to measuring biological age

As humans age multiple forms of biological decay ensue, and many aspects of human biology can be measured to determine how far biological machinery has drifted from homeostasis. Research has led to aging clocks being developed that claim to predict biological age as opposed to chronological age. Aging could be regarded as a measured loss of homeostatic biological equilibrium that augments biological decay in fully developed tissues. Measuring aspects of how far various elements of biology have drifted from a youthful state may allow us to make determinations on a subject's health but also make informed predictions on their biological age. As we see across human physiology, many facets that maintain human health taper off such as nicotinamide adenine dinucleotide, glutathione, catalase, super oxide dismutase, and more. Extracellular vesicle density also tapers off during age combined with epigenetic drift, telomere attrition, and stem cell exhaustion, whilst genomic instability and biological insults from environment and lifestyle factors increase. Measuring these types of biomarkers with aging clocks may allow subjects to understand their own health more accurately and enable subjects to better focus on their efforts in the pursuit of longevity and, in addition, allow healthcare practitioners to deliver better health advice.
Emergence of time persistence in a data-driven neural network model

Establishing accurate as well as interpretable models of network activity is an open challenge in systems neuroscience. Here we infer an energy-based model of the ARTR, a circuit that controls zebrafish swimming statistics, using functional recordings of the spontaneous activity of hundreds of neurons. Although our model is trained to reproduce the low-order statistics of the network activity at short time-scales, its simulated dynamics quantitatively captures the slowly alternating activity of the ARTR. It further reproduces the modulation of this persistent dynamics by the water temperature and visual stimulation. Mathematical analysis of the model unveils a low-dimensional landscape-based representation of the ARTR activity, where the slow network dynamics reflects Arrhenius-like barriers crossings between metastable states. Our work thus shows how data-driven models built from large neural populations recordings can be reduced to low-dimensional functional models in order to reveal the fundamental mechanisms controlling the collective neuronal dynamics.