Miracle-dz/UniFAR-FTUs huggingface dataset:
The Experience of Psychotherapy in Greek Women with Breast Cancer: An Interpretative Phenomenological Study

Βreast cancer is amongst the most frequently occurring types of cancer amongst women worldwide. The present qualitative study explored experiences of long-term psychotherapy among women with breast cancer attending psychodynamic psychotherapy at an outpatient service specializing at providing psychotherapeutic interventions for cancer patients, in Greece. The sample was purposeful and comprised of six women who participated in individual interviews, consisting of questions framed in an open way to explore their lived experiences in the context of therapy. The research data was analyzed using Interpretative Phenomenological Analysis and produced five group experiential themes (superordinate themes) namely 1) the experience of breast cancer 2) psychosomatic aspects of cancer 3) psychotherapy as a process of self-awareness and growth 4) the process of change and 5) the therapist-client relationship. Participant women seemed to experience psychotherapy as a positive, even though challenging journey, that integrated past, present and future promoting post-illness and post-recovery well-being, and allowing for the exploration of different needs that surpass the event of the disease itself. Given the complex experiences and different needs of women with cancer, it seems important for further qualitative research to explore the experiences of patients in psychotherapy in different cultural contexts, and taking into account different theoretical orientations in order to offer appropriate therapeutic interventions.
SULPHUR MANAGEMENT FOR INCREASED PRODUCTIVITY OF INDIAN MUSTARD: A REVIEW

Sulphur (S) is a crucial element for rapeseed-mustard in determining its seed yield, oil content, quality, and resistance to various biotic and abiotic stresses. Besides promoting chlorophyll formation and oil synthesis, it is an important constituent of seed protein, amino acids, various enzymes, and glucosinolate. Sulphur increases the seed yield of mustard by 12 to 48% under irrigated and 17 to 124% under rainfed conditions. In terms of agronomic efficiency, each kilogram of S increases the mustard yield by 7.7 kg. Intensification of agriculture and multiple cropping, coupled with use of high analysis S-free fertilizers and restricted use of organic manures, has accelerated the depletion of soil S reserves. Total S content in Indian soils ranged from 10 to 6319 mg kg -1 , but mean content is 30 to 300 mg kg -1 soil in most of agricultural soils. The increase in oil content of mustard due to S application is associated with the increase activity of an enzyme named acetyl-CoA carboxylase, which is also a precursor for oil synthesis. Sulphur is important for plants in another sense also that it dilutes the harmful effect of heavy metal toxicity caused by cadmium. Interaction of S with other nutrients is both synergistic and antagonistic. The recommendations for specific S fertilization for different zones in mustard based cropping systems have been made under All India Coordinated Research Project on Rapeseed-Mustard (AICRP-RM). In order to increase the S use efficiency, it is not only necessary to apply the correct amount (on soil test basis) in a balanced proportion with other limiting nutrient element in the soil, but it is equally important to apply it at the proper physiological stage of the plant. Although, the best time of S application is basal, but it may be top dressed also at 20-40 days of growth to get good yield. The experiments under AICRP-RM have revealed the higher response of mustard to foliar spray of thiourea at flowering and basal placement before sowing. Other than traditional S fertilizers, fortified S fertilizers, S coated fertilizers, liquid S fertilizers and moreover integrated use of S with organic manure has been proved better. In the present paper, the status of Indian soils, response of S to rapeseed-mustard, mainly Brassica juncea and enhancing S use efficiency through advancement in techniques including rate, method and sources of S have been reviewed.
Effect of levels of irrigation and crop geometry on quality of sugarcane under drip irrigation

A field experiment was conducted in Gang Canal Command area at 3"O” Srikaranpur, Sriganganagar during 2005-06,2006-07 and 2008-09 to find out optimum plant geometry of sugarcane through drip irrigation and to compare water use and water use efficiency in both the methods of irrigation. None of the quality parameters was influenced by different crop geometries in surface irrigation treatment. Only commercial cane sugar was significantly influenced by different crop geometries in drip irrigation. Single row planting at 75 cm & 90 cm gave significantly higher CCS (t/ha) than paired row planting at 120x60 cm but at par with paired row planting at 90x60 cm. Irrigation levels significantly influenced all the quality parameters except juice purity percent. The highest CCS in tones per hectare was recorded with drip irrigation at 100% PE which was at par with that obtained with drip irrigation at 80 % PE treatment but significantly higher than drip irrigation at 60% PE and surface irrigation treatments. The juice percentage was also highest with 100 % PE treatment but poll percentage; brix percentage and CCS (%) were highest with 80 per cent PE treatment. The mean data revealed that drip irrigation at 60, 80 & 100 % PE increased cane yield by 14.4, 26.4 & 44.6 per cent, respectively over the cane yield obtained with border strip irrigation. In addition to yield increase, the respective water saving was 32.9, 17.1 & 1.4 per cent. Drip irrigation also improved the quality of cane and the commercial cane sugar increased by 46.4, 35.8 and 15.1 per cent as a result of drip irrigation at 60, 80 and 100% PE, respectively over that obtained with conventional flood irrigation treatment.
The Many Faces of Adversarial Risk: An Expanded Study

Adversarial risk quantifies the performance of classifiers on adversarially perturbed data. Numerous definitions of adversarial risk—not all mathematically rigorous and differing subtly in the details—have appeared in the literature. In this paper, we revisit these definitions, fix measure theoretic issues, and critically examine their similarities and differences. Our technical tools derive from optimal transport, robust statistics, functional analysis, and game theory. Our contributions include the following: generalizing Strassen’s theorem to the unbalanced optimal transport setting with applications to adversarial classification with unequal priors; showing an equivalence between adversarial robustness and robust hypothesis testing with <inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula>-Wasserstein uncertainty sets; proving the existence of a pure Nash equilibrium in the two-player game between the adversary and the algorithm; and characterizing adversarial risk by the minimum Bayes error between a pair of distributions belonging to the <inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula>-Wasserstein uncertainty sets. Our results generalize and deepen recently discovered connections between optimal transport and adversarial robustness and reveal new connections to Choquet capacities and game theory.
Migration, Social Disorganization, and the Sexual Partners of Mexican men: Implications for Immigrant Adaptation and HIV Risk

The relationship between social context and individual behavior has long been a central topic of sociological inquiry. Within that area, social disorganization theory has been a compelling tool for understanding how immigration, which by definition entails a dramatic change in context, affects behavior. However, in the field of public health, particularly studies examining the impact of migration on sexual risk behaviors linked to HIV transmission, research on immigrant adaptation has tended to focus on individualist models of behavior to the relative neglect of interactional and contextual processes. In particular, a number of theoretical advances in social disorganization theory in the realm of crime and deviance have yet to be re-applied to the study of immigrant adaptation. We integrate criminological theories into the immigrant adaptation framework to create and test a multi-level model of the impact of context on migrants’ health behaviors. We consider two levels of contextual influence: 1) how the interpersonal bonds and social capital that generate social control mediate the impact of change in context on migrants’ behavior and 2) how neighborhood social disorder influences the process of adaptation. We also argue that migration-related gender structures are central to both the interpersonal and neighborhood level aspects of social control and are a neglected dimension of immigrant adaptation. We apply this framework to HIV risk behaviors (partner type) among Mexican migrant men in Durham, NC, drawing on unique bi-national data that allows for correction for selectivity.
ERC Working Papers in Economics 21/02 April / 2021 ONE CRISIS AFTER ANOTHER: A DYNAMIC UNEMPLOYMENT PERSISTENCE ANALYSIS FOR THE GIPS COUNTRIES

This paper investigates the hypothesis of unemployment hysteresis for GIPS countries (Greece Ireland, Portugal, and Spain) over the period 1998(4)-2019(4). While most of the existing empirical studies assume constant order of integration for unemployment over the sample period, we consider the possibility that, like many macroeconomic variables, unemployment might display changes in persistence, which might result in potential switches between the natural rate and hysteresis hypotheses. In this respect, we adopt a multiple persistence change methodology. Our empirical results suggest that the structural natural rate (hysteresis) hypothesis is supported for Ireland (Portugal) over the entire sample without any change in persistence of the unemployment rate. For the cases of Greece and Spain, on the other hand, our results propose that unemployment is characterized by multiple changes in persistence with the observed dates for persistence changes coinciding with the Great Recession, the European Sovereign debt crisis, and the deepening of economic and labor market reforms launched to retrain the impact of the crises in those countries.
Exploring the Relationship Between Education and Rehabilitation in the Prison Context

: This article examines the relationship between education and rehabilitation within the prison context. It begins by exploring the concept of rehabilitation, examining if prison rehabilitation is possible or if it is what Pat Carlen describes as a “penal imaginary”. Drawing on this idea, it considers how rehabilitation may act as a way of legitimising imprisonment and whether rehabilitation is in fact damaging and criminogenic. It then moves to explore other models of rehabilitation and imprisonment that may offer a more person-centred approach. Section two of the article begins by discussing understandings of adult education. It examines conflicting interpretations of education, settling on an understanding that is underpinned by principles of freedom. It then moves to explore how adult education is practised and understood within the prison context. Finally, this article analyses the relationship between prison education and prison rehabilitation, considering what kinds of education and rehabilitation may be conducive to supporting the holistic development of the person in prison.
Closed-form expressions for the current distributions on open microstrip lines

The authors systematically clarify the characteristics of current distributions for various cases of substrate relative permittivity, shape ratio, and normalized frequency. These characteristics are clarified, and closed-form expressions are proposed. An open microstrip line with isotropic dielectric substrate is numerically analyzed by the spectral-domain method to clarify current distributions on a strip conductor. The current distributions obtained are illustrated in figures for typical cases. A full view of current distributions on a strip conductor in any microstrip line is provided by showing those close-form expressions. These expressions for the current distribution have been compared with the theoretical results, and good agreement has been obtained. >
AMHS Jan-Jun-16-cover.cdr

Background: Anthropometric parameters are useful for indexing cardiovascular variables. Objectives: This study aimed at determining the association between anthropometric parameters and autonomic cardiovascular indices (ACIs) among young adults. Materials and Methods: It was a cross-sectional descriptive study involving 204 healthy young adults who were residents of Ile-Ife. The weight (kg) and height (m) were measured with health scale while body mass index and body surface area were calculated using Quetelet index and Mosteller formula, respectively. Each participant was evaluated through a battery of procedures; systolic blood pressure (SBP) response to standing, diastolic blood pressure (DBP) response to sustained handgrip (SH), resting heart rate (RHR), heart rate (HR) variability during Valsalva maneuver, deep breathing, and change of posture while the ACIs were derived as outcome of the procedures. The relationship between the anthropometry and ACI was determined by correlation. Results: Height positively correlated with SBP response to posture (r = 0.107, P = 0.128), DBP response to SH (r = 0.143, P = 0.041), and heart rate response to deep breathing (HDB) (r = 0.043, P = 0.540). Height negatively correlated with Valsalva ratio (r = −0.022, P = 0.759), 30:15 ratio (r = −0.009, P = 0.902), and RHR (−0.152, P = 0.030). Weight correlated positively with postural change in SBP (r = 0.096, P = 0.172), DBP response to SH (r = 0.091, P = 0.197), and 30:15 ratio (r = 0.005, P = 0.948). Weight negatively correlated with HR response to deep breathing (r = −0.114, P = 0.105) and RHR (r = −0.153, P = 0.029). Conclusion: Anthropometric parameters correlated weakly with most indices of cardiac autonomic function except RHR.
An Integrated Model of the Flight and Tether Dynamics of a Marine Hydrokinetic Energy Harvesting System

This paper models the dynamics of a marine tethered energy harvesting system focusing on exploring the sensitivity of the kite dynamics to tether parameters. These systems repetitively reels a kite out at high tension, then reels it in at low tension, in order to harvest energy. The kite’s high lift-to-drag ratio makes it possible to maximize net energy output through periodic cross-current flight. Significant modeling efforts exist in the literature supporting such energy maximization. The goal of this paper is to address the need for a simple model capturing the interplay between the system’s kite and tether dynamics. The authors pursue this goal by coupling a partial differential equation (PDE) model of tether dynamics with a point mass model of translational kite motion. One can simplify this model significantly by neglecting tether mass and compliance, effectively transforming the tether into a kinematic constraint. Simulation results show that the coupling effects discarded through such a simplification are non-trivial. For example, even when the tether is neutrally buoyant, its transverse vibrations can still cause significant oscillations in net kite forcing.
Study of Tool Wear and Overcut in EDM Process with Rotary Tool and Magnetic Field

Tool wear and workpiece overcut have been studied in electrical discharge machining process with rotational external magnetic field and rotational electrode. Experiments have been divided to three main regimes, namely, low-energy regime, middle-energy regime, and high-energy regime. The influence of process parameters were investigated on electrode wear rate and overcut. Results indicate that applying a magnetic field around the machining gap increases the electrode wear rate and overcut. Also, rotation of the tool has negative effect on overcut.
A cross-mesh array antenna

A grid array antenna, which is backed by a conducting plane, is a low-profile flat antenna consisting of numerous radiation and transmission line elements. This paper presents a cross-mesh (CM) array antenna, which is regarded as an extension of the grid array antenna. The CM array antenna is decomposed into two grid arrays (x- and y-directed grid arrays). It is emphasized that the CM array antenna has four feed points, unlike the grid antenna: a, b, c, and d, where a and c belong to the x-directed grid array and b and d belong to the y-directed grid array. The purpose of this paper is to reveal the radiation characteristics of the CM array antenna.
An Instrument for Evaluation of the Use of the Web Conferencing System BigBlueButton in e-Learning

The use of web conferencing systems in distant education and e-learning gained very much attention after the onset of the pandemic of the COVID-19 virus, when traditional academic teaching in the classroom was predominantly replaced with synchronous and asynchronous e-learning After 16th March 2020 at all of the colleges at the University of Zagreb a fully online teaching modality was applied with less than one week of preparation The predominant web conferencing tools that were used for that purpose were BigBlueButton, Adobe Connect and Zoom The authors of this paper thus found it opportune to develop an instrument for the evaluation of web conferencing tools used in the context of academic teaching Therefore, an evaluation instrument was created by combining scales designed to measure selected constructs of the DeLone and McLean IS success model with several constructs from the models of usability and user experience in software use This paper presents the results of a pilot study of the evaluation of this newly developed instrument and of the BigBlueButton web conferencing system
Mechanisms Influencing the Foraging Behaviour of Termites

Termites are responsible for approximately $910 million every year in damage to Australian households. Methods of eradication have involved the use of termiticides, however the potential health risks forced a ban on their use. Thus, this motivated research into new methods of detection and eradication. In 2004, Lenz et al postulated that termites could be using vibro-acoustic signals to gather information about their food source and so recent research has focused on manipulating termite behaviour through vibrations and acoustic methods. In 2009, Inta et al showed for the first time that termite feeding reduced under the presence of termite alarm signals, indicating that their foraging behaviour has been actively manipulated. CSIRO have conducted field trials in Darwin, which showed that during foraging, termites responded to wood under static load by building clay structures to take up the stress, thus allowing them to continue foraging in safety. In this thesis, experiments and analysis are proposed to continue the research into unravelling the mechanisms influencing termite foraging behaviour. A T maze experiment was designed to investigate termite attractiveness and repulsiveness under the presence of various signals. It was found that termites were significantly attracted to foraging signals and under the presence of both foraging and alarm signals, this attraction was enhanced. Following the work of Inta et al in 2009, an alarm signal experiment was conducted but using newly designed apparatus. The results found that the feeding behaviour of termites was manipulated using alarm signals after applying the old apparatus. A stress signal experiment was designed to investigate whether termites used vibration cues to assess stresses in wood. The results inferred that termites were attracted to the stressed block, however more soil was found around these blocks compared to the control, indicating a potential influence of the stress signal to cause building. Preliminary signal processing into the temporal encoding of termite signals was completed in order to lay a foundation for future in-depth analysis work. The results of evaluating analytic functions showed that the Matlab code developed had potential future use. With more detailed studies, the results from these experiments could have an impact on future research which may lead to alternative methods of termite eradication by the use of vibro-acoustic signals.
Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology

Introduction Psychiatric disorders are diagnosed through observations of psychiatrists according to diagnostic criteria such as the DSM-5. Such observations, however, are mainly based on each psychiatrist's level of experience and often lack objectivity, potentially leading to disagreements among psychiatrists. In contrast, specific linguistic features can be observed in some psychiatric disorders, such as a loosening of associations in schizophrenia. Some studies explored biomarkers, but biomarkers have yet to be used in clinical practice. Aim The purposes of this study are to create a large dataset of Japanese speech data labeled with detailed information on psychiatric disorders and neurocognitive disorders to quantify the linguistic features of those disorders using natural language processing and, finally, to develop objective and easy-to-use biomarkers for diagnosing and assessing the severity of them. Methods This study will have a multi-center prospective design. The DSM-5 or ICD-11 criteria for major depressive disorder, bipolar disorder, schizophrenia, and anxiety disorder and for major and minor neurocognitive disorders will be regarded as the inclusion criteria for the psychiatric disorder samples. For the healthy subjects, the absence of a history of psychiatric disorders will be confirmed using the Mini-International Neuropsychiatric Interview (M.I.N.I.). The absence of current cognitive decline will be confirmed using the Mini-Mental State Examination (MMSE). A psychiatrist or psychologist will conduct 30-to-60-min interviews with each participant; these interviews will include free conversation, picture-description task, and story-telling task, all of which will be recorded using a microphone headset. In addition, the severity of disorders will be assessed using clinical rating scales. Data will be collected from each participant at least twice during the study period and up to a maximum of five times at an interval of at least one month. Discussion This study is unique in its large sample size and the novelty of its method, and has potential for applications in many fields. We have some challenges regarding inter-rater reliability and the linguistic peculiarities of Japanese. As of September 2022, we have collected a total of >1000 records from >400 participants. To the best of our knowledge, this data sample is one of the largest in this field. Clinical Trial Registration Identifier: UMIN000032141.