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This accessible text is an introduction to the theory of phase transitions and its application to real materials. Assuming some familiarity with thermodynamics and statistical mechanics, the book begins with a primer on the thermodynamics of equilibrium phase transitions, including the mean-field and Ginzburg-Landau approaches. The general kinetic features and dynamics of phase transitions are explained, ensuring that readers are familiar with the key physical concepts. With the foundations established, the general theory is applied to the study of phase transitions in a wide range of materials including ferroic materials, caloric materials, liquid crystals and glasses. Non-equilibrium phase transitions, superconductors and quantum phase transitions are also covered. Including exercises throughout and solutions available online, this text is suitable for graduate courses as well as researchers in physics and materials science seeking a primer on popular and emerging research topics.
Global disruption, technological advances, and population demographics are rapidly affecting the types of jobs that are available and the workers who will fill those jobs in the future of work. Successful workers in the dynamic and uncertain landscape of the workplace of the future will need to adapt rapidly to changing job demands, highlighting the necessity for lifelong learning and development. With few exceptions, industrial-organizational (I-O) psychologists have tended to take an organization-centered perspective on training and development; a perspective that promotes worker development as a means to organizational success. Hence, we call for a broadening of this view to include a person-centered perspective on workplace learning focused on individual skill development. A person-centered perspective addresses lifelong learning and skill development for those already in the labor force, whether they are working within or outside of organizations (e.g., gig workers), or those looking for work. It includes the most vulnerable people currently working or seeking work. We describe the factors affecting the future of work, the need to incorporate a person-centered perspective on work-related skill learning into I-O research and practice, and highlight several areas for future research and practice.
Countries frequently use health technology assessment (HTA) to set priorities for introducing new interventions or evaluating existing interventions; however, applying the tool effectively is heavily dependent on a country’s resources and capacity. Infrastructure and data, technical expertise, broad stakeholder involvement, and financial support are required to improve HTA processes. In the Asia-Pacific, HTAsiaLink was established to facilitate this practice, but strengthening and legitimizing this organization are needed to maximize its potential to support HTA institutionalization in the region. To realize this objective, HTAsiaLink can serve as a center of excellence while providing experiential learning and sharing information. As a learning hub, HTAsiaLink can share resources—particularly data—that can contribute to joint HTAs as done in the European Union and strengthen capacity in countries needing to develop their HTA expertise.
People with Functional Neurological Disorder (FND) exhibit diverse symptoms, ranging from motor and sensory issues to non-epileptic attacks, potentially causing reduced functioning and quality of life. East Kent Neuropsychiatry Service developed written and video resources to educate patients about FND. We aim to improve patient education on FND through increasing resource options and identifying optimal implementation of the materials within the care pathway.
Methods
We implemented an existing symptom self-management psychoeducation booklet and novel video resources as part of a quality improvement project (QIP). The first QIP cycle trialled the resources across different treatment pathways using three groups, each of seven patients. Group 1 received the booklet first, then the video two weeks later. Group 2 received the video first, then the booklet after two weeks. Group 3 received both resources at the same time. After 4 weeks, patient feedback was collected by 4 medical students by telephone. Qualitative and quantitative data was obtained from 8 patients. Quantitative feedback was obtained using a 5-point Likert scale. In the second QIP cycle, 10 patients received both resources simultaneously, with improvements made to resource accessibility and readability.
Results
The first QIP cycle highlighted that the videos were helpful in explaining FND, with 75% of patients rating the videos the same or higher than the booklet. Qualitative responses commented that videos were more personal and easier for family members to understand. Across both video and booklet resources, 67% of patients agreed or strongly agreed the resources were useful for explaining FND and their experience. One patient, in group 1, stated the resources improved their symptoms. 54% of patients agreed that they received the resources at the appropriate time; a common theme across all groups was the desire to access the resources earlier within the pathway. In the second QIP cycle (8 patients, 25% response rate), all agreed the resources improved FND understanding and self-management strategies.
Conclusion
Our study highlights that video resources are a valuable addition to FND psychoeducation, with benefits for patients, carers and family members. Both booklet and video resources were helpful in improving patient education on FND. Our findings emphasise the need for early integration of psychoeducation in the care pathway. Future developments could include collaborating with other specialties involved in the care of FND patients, such as neurology and emergency departments, to enable early integration of psychoeducation resources, empowering clinicians to effectively communicate about FND and enhancing patient psychoeducation.
Additional authors: Mr Alan Dunlop, Ms Wendy Collison and Professor Rafey Faruqui.
My purpose in this article is to bring out the basic features of Hindustani music—the music of North India. Karnatik music, or the music of the South, is different. Fortunately, however, some basic concepts are common to both the styles. More important of these are: alāpa, rāga, tāla. So, a treatment of Hindustani music is not to be regarded as throwing no light on the Karnatik style. The bases of my attempt are provided essentially by my own experiences as a listener. But I have also drawn upon established musicology; and, what is equally important, upon the aesthetic insight revealed by our master musicians in intimate conversation.
Path loss prediction (PLP) is an important feature of wireless communications because it allows a receiver to anticipate the signal strength that will be received from a transmitter at a given distance. The PLP is done by using machine learning models that take into account numerous aspects such as the frequency of the signal, the surroundings, and the type of antenna. Various machine learning methods are used to anticipate path loss propagation but it is difficult to predict path loss in unknown propagation conditions. In existing models rely on incomplete or outdated data, which can affect the accuracy and reliability of predictions and they do not take into account the effects of environmental factors, such as terrain, foliage, and weather conditions, on path loss. Furthermore, existing models are not robust enough to handle the real-world variability and uncertainty, leading to significant errors in predictions. To tackle this issue, a novel ultrahigh frequency (UHF) PLP based on K-nearest neighbors (KNNs) is developed for predicting and optimizing the path loss for UHF. In this proposed model, a KNN-based PLP has been used to predict the path loss in the UHF. This technique is used for high-accuracy PLP through KNN forecast route loss by determining the K-nearest data points to a particular test point based on a distance metric. Moreover, the existing models were not able to optimize path loss due to complex and large-scale machine learning models. Therefore, the stochastic gradient descent technique has been used to minimize the objective function, which is often a measure of the difference between the model’s predictions and the actual output that will fine-tune the parameters of the KNN model, by measuring the similarity between data points. This model is implemented using Python to make it a lot more convenient.
Prebiotic fibre represents a promising and efficacious treatment to manage pre-diabetes, acting via complementary pathways involving the gut microbiome and viscosity-related properties. In this study, we evaluated the effect of using a diverse prebiotic fibre supplement on glycaemic, lipid and inflammatory biomarkers in patients with pre-diabetes. Sixty-six patients diagnosed with pre-diabetes (yet not receiving glucose-lowering medications) were randomised into treatment (thirty-three) and placebo (thirty-three) interventions. Participants in the treatment arm consumed 20 g/d of a diverse prebiotic fibre supplement, and participants in the placebo arm consumed 2 g/d of cellulose for 24 weeks. A total of fifty-one and forty-eight participants completed the week 16 and week 24 visits, respectively. The intervention was well tolerated, with a high average adherence rate across groups. Our results extend upon previous work, showing a significant change in glycated haemoglobin (HbA1c) in the treatment group but only in participants with lower baseline HbA1c levels (< 6 % HbA1c) (P = 0·05; treatment –0·17 ± 0·27 v. placebo 0·07 ± 0·29, mean ± sd). Within the whole cohort, we showed significant improvements in insulin sensitivity (P = 0·03; treatment 1·62 ± 5·79 v. placebo –0·77 ± 2·11) and C-reactive protein (PFWE = 0·03; treatment –2·02 ± 6·42 v. placebo 0·94 ± 2·28) in the treatment group compared with the placebo. Together, our results support the use of a diverse prebiotic fibre supplement for physiologically relevant biomarkers in pre-diabetes.
Greenhouse gas emissions and land use change – from deforestation, forest degradation, and agricultural intensification – are contributing to climate change and biodiversity loss. Important land-based strategies such as planting trees or growing bioenergy crops (with carbon capture and storage) are needed to achieve the goals of the Paris Climate Agreement and to enhance biodiversity.
The integrated Land Ecosystems Atmospheric Processes Study (iLEAPS) is an international knowledge-exchange and capacity-building network, specializing in ecosystems and their role in controlling the exchange of water, energy and chemical compounds between the land surface and the atmosphere. We outline priority directions for land–atmosphere interaction research and its contribution to the sustainable development agenda.
Technical summary
Greenhouse-gas emissions from human activities and land use change (from deforestation, forest degradation, and agricultural intensification) are contributing to climate change and biodiversity loss. Afforestation, reforestation, or growing bioenergy crops (with carbon capture and storage) are important land-based strategies to achieve the goals of the Paris Climate Agreement and to enhance biodiversity. The effectiveness of these actions depends on terrestrial ecosystems and their role in controlling or moderating the exchange of water, heat, and chemical compounds between the land surface and the atmosphere.
The integrated Land Ecosystems Atmospheric Processes Study (iLEAPS), a global research network of Future Earth, enables the international community to communicate and remain up to date with developments and concepts about terrestrial ecosystems and their role in global water, energy, and biogeochemical cycles. Covering critically important topics such as fire, forestry, wetlands, methane emissions, urban areas, pollution, and climate change, the iLEAPS Global Research Programme sits center stage for some of the most important environmental questions facing humanity. In this paper, we outline the new challenges and opportunities for land–atmosphere interaction research and its role in supporting the broader sustainable development agenda.
Social Media Summary
Future directions for research into land–atmosphere interactions that supports the sustainable development agenda
In the spirit of decolonization, the chapter argues that we read English as a vernacular and not simply a global or colonial language. It takes seriously the emphasis on “speakers” – people and technologies/media – in the “phone” of anglophone literatures to find vernacular grounds to read literary English from. The chapter parses the political meanings of English through the contested political and mediated lives it has across the world in South Asia (India, Sri Lanka, Bangladesh, and Pakistan), Caribbean, Eastern Europe, and anglophone Africa. For instance, English is not only a formerly colonial language in South Asia or a language of the postcolonial state in India, Pakistan, Bangladesh, and Sri Lanka. It is also a populist language that mediates Dalit, racioethnic, and Indigenous assertion against the fascist logics of postcolonial vernaculars like Hindi, Urdu, and Sinhala. Here, English often lives outside literary works – in other media and in other languages – as “less than a language,” as a sound, a sight, and materiality that inflects meanings on the page.Literary studies have long been concerned with the liberal axiom of voice – who speaks – and thus sought to bring new voices into the scholarly field. Through specific literary examples from the twentieth and twenty-first centuries, this chapter asks the critic to situate themselves and their conceptual categories: who listens and how? Which English is legitimized as “English” and which as its “other”? How do we, as readers, make English speak on the page? I use “vernacular” as a term to highlight the embodied and material mediations of English that alter its colonial meanings, as well as the very real political and multivalent desire to make common that animates English as eminently global and mobile. Vernacular names the colonial and transnational capitalist structures associated with English without re-inscribing them each time we discuss English.
At the bureaucratic level, Indias administration and policymaking are largely controlled by members of the elite Indian Administrative Service (IAS). Their initial recruitment is on merit and considered fair, and therefore the best brains in the country join the Service at a young age. However, despite their individual competence, IAS officers, who occupy almost all senior administrative positions in the States and Centre, have not been able to improve development outcomes for common citizens. This is largely due to the fact that the political culture in India, at the states level and now since 2014 also at the Central level, is patronage based, and politicians control the civil service to buttress their private gains and ideological goals. This chapter will describe in detail the interface between bureaucrats and politicians, and the methods employed by politicians to manipulate and politicise the civil service. The paper will also describe how politicisation of the senior civil servants has engulfed the entire system after Mr Modi took over as Prime Minister in 2014.
Industrial materials images are an important application domain for content-based image retrieval. Users need to quickly search databases for images that exhibit similar appearance, properties, and/or features to reduce analysis turnaround time and cost. The images in this study are 2D images of millimeter-scale rock samples acquired at micrometer resolution with light microscopy or extracted from 3D micro-CT scans. Labeled rock images are expensive and time-consuming to acquire and thus are typically only available in the tens of thousands. Training a high-capacity deep learning (DL) model from scratch is therefore not practicable due to data paucity. To overcome this “few-shot learning” challenge, we propose leveraging pretrained common DL models in conjunction with transfer learning. The “similarity” of industrial materials images is subjective and assessed by human experts based on both visual appearance and physical qualities. We have emulated this human-driven assessment process via a physics-informed neural network including metadata and physical measurements in the loss function. We present a novel DL architecture that combines Siamese neural networks with a loss function that integrates classification and regression terms. The networks are trained with both image and metadata similarity (classification), and with metadata prediction (regression). For efficient inference, we use a highly compressed image feature representation, computed offline once, to search the database for images similar to a query image. Numerical experiments demonstrate superior retrieval performance of our new architecture compared with other DL and custom-feature-based approaches.
This meta-analysis aimed to consolidate existing data from randomised controlled trials on hypoplastic left heart syndrome.
Methods:
Hypoplastic left heart syndrome specific randomised controlled trials published between January 2005 and September 2021 in MEDLINE, EMBASE, and Cochrane databases were included. Regardless of clinical outcomes, we included all randomised controlled trials about hypoplastic left heart syndrome and categorised them according to their results. Two reviewers independently assessed for eligibility, relevance, and data extraction. The primary outcome was mortality after Norwood surgery. Study quality and heterogeneity were assessed. A random-effects model was used for analysis.
Results:
Of the 33 included randomised controlled trials, 21 compared right ventricle-to-pulmonary artery shunt and modified Blalock–Taussig-Thomas shunt during the Norwood procedure, and 12 regarded medication, surgical strategy, cardiopulmonary bypass tactics, and ICU management. Survival rates up to 1 year were superior in the right ventricle-to-pulmonary artery shunt group; this difference began to disappear at 3 years and remained unchanged until 6 years. The right ventricle-to-pulmonary artery shunt group had a significantly higher reintervention rate from the interstage to the 6-year follow-up period. Right ventricular function was better in the modified Blalock–Taussig-Thomas shunt group 1–3 years after the Norwood procedure, but its superiority diminished in the 6-year follow-up. Randomised controlled trials regarding medical treatment, surgical strategy during cardiopulmonary bypass, and ICU management yielded insignificant results.
Conclusions:
Although right ventricle-to-pulmonary artery shunt appeared to be superior in the early period, the two shunts applied during the Norwood procedure demonstrated comparable long-term prognosis despite high reintervention rates in right ventricle-to-pulmonary artery shunt due to pulmonary artery stenosis. For medical/perioperative management of hypoplastic left heart syndrome, further randomised controlled trials are needed to deliver specific evidence-based recommendations.
Mental health service delivery needs radical reimagination in the United States where unmet needs for care remain large and most metrics on the burden of mental health problems have worsened, despite significant numbers of mental health professionals, spending on service provision and research. The COVID-19 pandemic has exacerbated the need for mental health care. One path to a radical reimagination is “Community Initiated Care (CIC)” which equips and empowers communities to address by providing brief psychosocial interventions by people in community settings. We co-developed a theory of change (ToC) for CIC with 24 stakeholders including representatives from community-based, advocacy, philanthropic and faith-based organizations to understand how CIC could be developed and adapted for specific contexts. We present a ToC which describes ways in which the CIC initiative can promote and strengthen mental health in communities in the United States with respect to community organization and leadership; community care and inclusion and normalizing mental health. We propose 10 strategies as part of CIC and propose a way forward for implementation and evaluation. This CIC model is a local, tailored approach which can expand the role of community members to strengthen our response to mental health needs in the United States.
The Eighth World Congress of Pediatric Cardiology and Cardiac Surgery (WCPCCS) will be held in Washington DC, USA, from Saturday, 26 August, 2023 to Friday, 1 September, 2023, inclusive. The Eighth World Congress of Pediatric Cardiology and Cardiac Surgery will be the largest and most comprehensive scientific meeting dedicated to paediatric and congenital cardiac care ever held. At the time of the writing of this manuscript, The Eighth World Congress of Pediatric Cardiology and Cardiac Surgery has 5,037 registered attendees (and rising) from 117 countries, a truly diverse and international faculty of over 925 individuals from 89 countries, over 2,000 individual abstracts and poster presenters from 101 countries, and a Best Abstract Competition featuring 153 oral abstracts from 34 countries. For information about the Eighth World Congress of Pediatric Cardiology and Cardiac Surgery, please visit the following website: [www.WCPCCS2023.org]. The purpose of this manuscript is to review the activities related to global health and advocacy that will occur at the Eighth World Congress of Pediatric Cardiology and Cardiac Surgery.
Acknowledging the need for urgent change, we wanted to take the opportunity to bring a common voice to the global community and issue the Washington DC WCPCCS Call to Action on Addressing the Global Burden of Pediatric and Congenital Heart Diseases. A copy of this Washington DC WCPCCS Call to Action is provided in the Appendix of this manuscript. This Washington DC WCPCCS Call to Action is an initiative aimed at increasing awareness of the global burden, promoting the development of sustainable care systems, and improving access to high quality and equitable healthcare for children with heart disease as well as adults with congenital heart disease worldwide.
In this chapter, the author analyses the current implementation status of various biodiversity MEAs, their possible synergies and future challenges in a conservation landscape of fast-developing India. He suggests that while various biodiversity MEAs have independent origins, development history, scope and modalities, in each MEA, Parties have provided for their respective capacities for the conservation and sustainable use of biological resources and, consequently, share common areas of work and responsibility.
The advancement in wireless communication is fueling the growth of innovative antenna array designs toward cost-effective and performance-oriented solutions. This paper proposed unconventional methods to design antenna arrays for multi-pattern synthesis without using attenuators or phase shifters. A low-cost alternative is proposed with “Time-modulation”-based antenna array capable of electronic scanning and beam steering. Here, “Time” is utilized as a fourth-dimensional (4D) array parameter, and that is why “Time-modulated” arrays are also called as 4D antenna arrays. The idea is to control the high-speed switch attached with each antenna periodically to produce desirable current and phase tapering. This article expanded the “Time-modulation” concept to synthesize multiple radiation patterns like monopulse patterns, scanned beam patterns, shaped beam patterns, and cosecant-squared beam patterns for multifunctional radar systems. Suitable time schemes are developed to generate the narrowband sum–difference patterns useful for monopulse radars. Simultaneous scanned beam patterns are also proposed for narrowband communication. Furthermore, to address the wideband applications, shaped flat-top beam patterns and cosecant-squared beam patterns are also proposed. In this regard, 20- and 16-element “Time-modulated” linear array antennas are developed, and the parameters of the arrays are controlled by suitably designed objective functions with quasi-Newton method (QNM)-based memetic optimization method. For this purpose, first a well-known genetic algorithm is adopted to search the potential trust regions in the exploration stage and QNM is used for fine-tuning. Furthermore, the Broyden’s good method-based direction-updating equation is used with QNM to improve the performance.
Schizophrenia is a chronic psychiatric illness with symptoms in positive, negative and cognitive domain.The interplay of dietary folic acid intake with common genetic variants that influence folate metabolism, has potential implications for Schizophrenia pathogenesis and treatment.Therefore, it’s deficiency has been identified as a risk factor for Schizophrenia through epidemiologic, biochemical and gene association studies.
Objectives
1-To assess the efficacy of folic acid supplementation on severity of symptoms and overall functional status of patients
2-To assess the correlation of serum folate levels with symptom severity and overall functional status of patients
Methods
A randomized control trial study was carried out in the inpatient department of a psychiatric tertiary care centre on 40 participants (29 males and 11 females)who were between the ages of 18 – 55 years,met diagnostic criteria for Schizophrenia (ICD 10) and had at least 2 years of illness duration while those with a co-morbid psychiatric illness, medical illness and substance abuse were excluded. The participants were then randomly allocated into two groups (experimental Group A which received 5mg folic/day along with anti psychotic drugs and control Group B which received only anti psychotic drugs) and followed up for 3 months. Blood sample for measuring serum folate level was obtained from the experimental group at the beginning and at the end of the study period. Scales applied were Positive and Negative Syndrome Scale(PANSS) for symptom severity and Global Assessment of Functioning scale(GAF) for overall functional status.
Results
A significant difference (p value< 0.05) was observed in PANSS scores at the end of the study between experimental group and control group( table 1) and also in GAF scores between both the groups after 3 months(table 2). At the end of the study period,a strong negative correlation(r= -0.9) was found between serum folate level and total PANSS score in the experimental group (figure 1) while the correlation between GAF score and serum folate level was strongly positive (r= 0.8) (figure 2).Table 1
PANSS (3 Month)
Group A(n=20)
Group B (n=20)
P value
Positive
16.8±2.80
22.9±3.37
0.036
Negative
14.3±3.32
15.1±2.61
0.18
General
17.95±2.52
21.85±3.18
0.0001
Total
45.95±3.41
58±3.49
0.00249
Table 2
GAF
Group A(n=20)
Group B (n=20)
P value
0 MONTH
23.25±3.43
22.7±2.90
0.3
3 MONTH
65.75±4.22
44.9±7.09
0.0256
Image:
Image 2:
Conclusions
Our study is among the few to use a randomized controlled study design for assessing the effect of folic acid supplementation on severity of symptoms and global functioning in Schizophrenia,strongly suggesting the use of folic acid as an adjuvant treatment for Schizophrenia.
This special issue brings together scholars from multiple disciplines and with varied research and geographic expertise to study the historical role played by the law in governing the political, social, and cultural life of twentieth-century South Asia. These articles have not emerged in a vacuum, but rather build on an exciting turn in South Asian history that is placing new focus on the legal and constitutional work that accompanied the post-colonial moment. This introduction examines some of the important historiographical and methodological interventions made by scholars working in this field, before outlining the specific themes connecting the articles in this issue.
OBJECTIVES/GOALS: Patients who have experienced conjunctive mild traumatic brain injuries (mTBIs) suffer from a number of comorbidities, including chronic pain. Despite extensive studies investigating the underlying mechanisms of mTBI-associated chronic pain, the role of inflammation after mTBI and its contribution to long-term pain are still poorly understood. METHODS/STUDY POPULATION: Given the shifting dynamics of inflammation, it is important to understand the spatial-longitudinal changes and their effects on TBI-related pain. Utilizing a recently developed transgenic caspase-1 luciferase reporter mouse, we characterized the bioluminescence signal evident in both in vivo and ex vivo tissues following repetitive closed head mTBIs. This allowed us to reveal the spatiotemporal dynamics of caspase-1 activation in individual animals over time. Furthermore, we utilize various proteomic and behavioral assays to evaluate the role of caspase-1 mediated inflammation in the development and progression of injury-associated chronic pain. Lastly, by blocking inflammasome caspase-1 activation with a specific inhibitor, we assess its clinical potential as the next therapeutic approach to pain. RESULTS/ANTICIPATED RESULTS: We established that there were significant increases in bioluminescent signals upon protease cleavage in the brain, thorax, abdomen, and paws in vivo, which lasted for at least one week after each injury. Enhanced inflammation was also observed in ex vivo brain slice preparations following injury events that lasted for at least 3 days. Concurrent with the in vivo detection of the bioluminescent signal were persistent decreases in mouse hind paw withdrawal thresholds that lasted for more than two months postinjury. Using MCC950, a potent small molecule inhibitor of NLRP3 inflammasome-caspase 1 activity, we observed reductions in both caspase-1 bioluminescent signals in vivo and caspase-1 p45 expression by immunoblotting and an increase in hind paw withdrawal thresholds. DISCUSSION/SIGNIFICANCE: Overall, these findings suggest that neuroinflammation in the brain following repeated mTBIs is coincidental with a chronic nociplastic pain state, and repeated mTBI-associated events can be ameliorated by a highly specific small molecule inhibitor of NLRP3 inflammasome activation.
In this paper, we analyze a two-queue random time-limited Markov-modulated polling model. In the first part of the paper, we investigate the fluid version: fluid arrives at the two queues as two independent flows with deterministic rate. There is a single server that serves both queues at constant speeds. The server spends an exponentially distributed amount of time in each queue. After the completion of such a visit time to one queue, the server instantly switches to the other queue, i.e., there is no switch-over time.
For this model, we first derive the Laplace–Stieltjes transform (LST) of the stationary marginal fluid content/workload at each queue. Subsequently, we derive a functional equation for the LST of the two-dimensional workload distribution that leads to a Riemann–Hilbert boundary value problem (BVP). After taking a heavy-traffic limit, and restricting ourselves to the symmetric case, the BVP simplifies and can be solved explicitly.
In the second part of the paper, allowing for more general (Lévy) input processes and server switching policies, we investigate the transient process limit of the joint workload in heavy traffic. Again solving a BVP, we determine the stationary distribution of the limiting process. We show that, in the symmetric case, this distribution coincides with our earlier solution of the BVP, implying that in this case the two limits (stationarity and heavy traffic) commute.