Miracle-dz/UniFAR-FTUs huggingface dataset:
Study to evaluate the pattern of cervical Pap smear cytology and its correlation with clinical findings

Background:Cancer cervix is a leading cause of mortality and morbidity in developing countries like India most probably due to lack of proper screening facilities in the rural and suburban areas or due to the lack of awareness amongst the women of developing countries. Cervical cancer is the fourth most common cancer in the world. Developing countries accounted to about 80% of the global burden. Aim: The aim of the study to evaluate the pattern of cervical Pap smear cytology at a tertiary hospital and to correlate it with clinical findings. Material and Methods: The prospective study was carried out at Dept. of Pathology Government Medical College, Bettiah, West Champaran, Bihar, India for one year. The cellular material obtained on the spatula and cytobrush was quickly smeared on a clean glass slide, labelled, fixed in 95% ethyl alcohol immediately and subsequently stained by Pap stain. After staining, slides were mounted with DPX (Dibutylphthalate Polystyrene Xylene), screened and reported by cytopathologist under light microscope. Results: Total 1200 cervico-vaginal smears studied during study period on patients, ranging from 18 to 65 years. Cytological findings broadly classified into unsatisfactory smears, normal and abnormal smears. There were 910(75.83%) abnormal Pap smears (benign cellular changes of inflammation as well as Epithelial Cell Abnormalities (ECA), with 265(22.08) normal cases and 25 (2.08%) unsatisfactory or inadequate samples. The age range of patients with epithelial cell abnormality was 22 to 65 years and the mean age was 44.1±12.7 years. They represented 2.5% of abnormal Pap smears and 1.67% of total smears taken. Total 623 (51.92%) showed inflammatory lesion, 14 (1.17%) showed atrophy, 10 (0.83%) showed ASCUS, 6 (0.5%) showed ASC-H, 6 (0.5%) showed HSIL, 2 (0.17%) showed SCC, 3 (0.25%) AGUS, 193 (16.08%) showed metaplasia, 2 (0.17%) had radiation changes. Conclusion: Proper implementation of Pap screening programme, incidence of invasive cervical malignancy can be prevented due to early detection of cervical premalignant lesions.
Safe Asset Shortage and Collateral Reuse

The reuse of collateral can support the eﬃcient allocation of safe assets in the ﬁnancial system. Exploiting a novel dataset, we show that banks substantially increase their reuse of sovereign bonds in response to scarcity induced by Eurosystem asset purchases. While repo rates react little to purchase-induced scarcity when reuse is low, they become increasingly sensitive at high levels of reuse. An elevated reuse rate is also associated with more failures to deliver and a higher volatility of repo rates in the cross-section of bonds. Our results highlight the trade-oﬀ between shock absorption and shock ampliﬁcation eﬀects of collateral reuse.
Factors Influencing Choices for Early Marriage in Urban Informal Settlements of Bangladesh

This study explores factors that shape parents’ decisions as to whether or not to arrange an early marriage of a girl child in the context of urban informal settlements in Bangladesh. The article draws on data from a larger mixed methods study conducted in two informal urban settlements of Bangladesh, and the analysis was guided by the theory of social exchange. The study found the following factors leading to early marriage: endemic poverty, high dowry costs for older girls, parents’ lack of wider social networks, adolescents dropping out of school, crime and insecurity, love affairs between adolescents and community pressure. Collaboration between government and non-government programmes to improve education, implementation of supportive laws, and greater formal economic opportunities for residents, including adolescents, in urban informal settlements, are critical to prevent early marriage in these environments.
Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization

Tracking population-level cancer information is essential for researchers, clinicians, policymakers, and the public. Unfortunately, much of the information is stored as unstructured data in pathology reports. Thus, too process the information, we require either automated extraction techniques or manual curation. Moreover, many of the cancer-related concepts appear infrequently in real-world training datasets. Automated extraction is difficult because of the limited data. This study introduces a novel technique that incorporates structured expert knowledge to improve histology and topography code classification models. Using pathology reports collected from the Kentucky Cancer Registry, we introduce a novel multi-task training approach with hierarchical regularization that incorporates structured information about the International Classification of Diseases for Oncology, 3rd Edition classes to improve predictive performance. Overall, we find that our method improves both micro and macro F1. For macro F1, we achieve up to a 6% absolute improvement for topography codes and up to 4% absolute improvement for histology codes.
Glass and wine: a good example of the deep relationship between drinkware and beverage

ABSTRACT As the choice of the drinkware could deeply affect consumer perception during beverage consumption, an experimental research was carried out by expert testers to investigate the evolution of chemical–physical and sensory profiles of a typical rosé wine maintained in different types of glasses. The aim of this research was to select some parameters to well correlate beverage sensory properties with glass characteristics which can be used for drinkware design. The different sensorial profiles, obtained as a function of the geometric characteristics of glasses, were compared with one another. In order to find any significant parameter useful to represent the time evolution of the wine inside each vessel, the wine poured in all glasses was also characterized at different times from a chemical and physical point of view. As the design parameters are now guided more by aesthetic reasons rather than by functional ones, this new ‘integrated approach’, deriving from the merging of chemical, physical and sensorial data, can be used to design the optimum vessel for the enjoyment of the consumer during assessing sessions. This innovative procedure could be easily adapted for every beverage such as fruit juices, sparkling wines or beer.
COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers

Medical images have been proposed as a diagnostic tool for SARS-COV-2. The image modality more investigated on this subject is computed tomography (CT), however it has some disadvantages: it uses ionizing radiation, requires unique installations along with a complicated process limiting the number of possible tests per equipment, and the economic costs can be prohibitively high for screening a large population. For these reasons, the aim of this study is to investigate thermal images as an alternative modality for diagnosis of COVID-19. The methodology used in this study consisted of using radiomics and moment features extracted from six images obtained from thermal video clips in which optical flow and super resolution were used, these features were classified using traditional machine learning methods. Accuracies were in the range of 0.433 - 0.524. These first results conducted on thermal images suggest that the use of this type of image modality is unlikely to be favorable for COVID-19 detection.
Microbial flocculant combined ferric trichloride facilitates floating aggregation of Microcystis aeruginosa for efficient removal

AbstractA combination of microbial flocculant (MBF) and ferric trichloride (FeCl3) was applied to aggregate and harvest algae. The orthogonal experiment was designed to optimize conditions of flocculation. Mechanism of flocculation was observed through determining the zeta potential and observing the morphology of algal floc using stereo and scanning electron microscope. The results showed that the optimum combination of flocuulants was 0.175 g of FeCl3 with 10 mL MBF per liter, which exhibited the highest flocculation efficacy (95.12%) and lowest chemical oxygen demand (10.44 mg/L). The flocculation mechanism was charge neutralization, where the MBF first adhered and coated algae. Due to its high affinity to iron-hydroxy ions and long-chain molecules, the MBF attracted positively charged hydroxyl irons generated by FeCl3 hydrolysis and interacted with the iron-hydroxy ions to form a larger floc by bridging. The coat made of MBF formed a thin film which protected algae from being destroyed, and trapped th.
Energy balance and mixing between waves and eddies in stably stratified turbulence

Abstract We explore the strong stratification regime of stably stratified turbulence and the intermediate regime towards the viscosity-affected stratified state. Three-dimensional velocity-density fields from direct numerical simulations are decomposed into internal gravity waves (IGWs) and eddy motion based on Riley's decomposition (Riley et al., AIP Conf. Proc., vol. 76, issue 1, 1981, pp. 79–112) extended to account for the space–time properties of waves, their modification by vertically sheared horizontal flow and the vertical mixing by eddies (Lam et al., Atmosphere, vol. 11, issue 4, 2020, p. 420). We establish the evolution equations for the IGW and eddy parts separately. Up to buoyancy Reynolds number ${Re}_b\sim 1$, we observe a large exchange of energy that pumps energy from the IGW to eddy. For ${Re}_b>1$, the IGW and eddy dynamics seem to be separate and no global exchange is observed. Our decomposition enables computation of the contributions to the mixing coefficient in terms of the IGW and eddy. At the largest ${Re}_b$ considered, the mixing due to eddies is four times that due to waves.
Predicting non-state terrorism worldwide

Predictive models informed by theory may produce policy-relevant prediction of terrorism. Several thousand people die every year worldwide because of terrorist attacks perpetrated by non-state actors. In this context, reliable and accurate short-term predictions of non-state terrorism at the local level are key for policy makers to target preventative measures. Using only publicly available data, we show that predictive models that include structural and procedural predictors can accurately predict the occurrence of non-state terrorism locally and a week ahead in regions affected by a relatively high prevalence of terrorism. In these regions, theoretically informed models systematically outperform models using predictors built on past terrorist events only. We further identify and interpret the local effects of major global and regional terrorism drivers. Our study demonstrates the potential of theoretically informed models to predict and explain complex forms of political violence at policy-relevant scales.
Intratumoral talimogene laherparepvec injection with concurrent preoperative radiation in patients with locally advanced soft-tissue sarcoma of the trunk and extremities: phase IB/II trial

Background Soft-tissue sarcomas (STS) in the extremities and trunk treated with standard-of-care preoperative external beam radiation therapy (EBRT) followed by surgical resection are associated with local and distant relapses. In preclinical studies, oncolytic virotherapy in sarcoma has demonstrated antitumor effects via direct intratumoral oncolysis and cytotoxic T-cell–mediated immune responses. Talimogene laherparepvec (TVEC) is a replication-competent, immune-enhanced, oncolytic herpes simplex virus type 1 engineered for intratumoral injection; it has been approved by the FDA for the treatment of locally advanced and metastatic melanoma. Methods We explored a novel combination of TVEC with standard-of-care EBRT administered preoperatively in patients with locally advanced STS of the extremities and trunk in a phase IB/II clinical trial. Thirty patients with primary STS >5 cm for which EBRT was indicated to achieve negative margins were enrolled. FDA-approved TVEC doses were used. Immune correlative studies in peripheral blood, biopsy and resected tumor tissues were performed. Results No dose-limiting toxicity was observed. Adverse events were similar to those reported in prior studies with TVEC. One patient with myxoid liposarcoma exhibited a partial response. Seven of the 29 (24%) evaluable patients achieved 95% pathological necrosis. None of the patients developed a herpes infection due to the treatment. Eight of the 29 (27%) patients developed postoperative wound complications, which is consistent with previous studies. None of the patients developed local recurrence after surgical resection of the primary sarcoma. 2-year progression-free and overall survival were 57% and 88%, respectively. Caspase-3 demonstrated increased expression of both in TVEC-treated tissue samples as compared with control samples treated with radiation alone. Conclusion Preoperative intratumoral TVEC with concurrent EBRT for locally advanced STS is safe and well-tolerated. This combination treatment may enhance immune responses in some cases but did not increase the proposed rate of pathological necrosis. The Caspase-3 biomarker may be associated with a positive effect of TVEC in sarcoma tumor tissue and should be explored in future studies. Trial registration number NCT02453191.
Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol

Introduction Type 2 diabetes mellitus (T2DM) is a major cause of blindness, kidney failure, myocardial infarction, stroke and lower limb amputation. We are still unable, however, to accurately predict or identify which patients are at a higher risk of deterioration. Most risk stratification tools do not account for novel factors such as sociodemographic determinants, self-management ability or access to healthcare. Additionally, most tools are based in clinical trials, with limited external generalisability. Objective The aim of this work is to design and validate a machine learning-based tool to identify patients with T2DM at high risk of clinical deterioration, based on a comprehensive set of patient-level characteristics retrieved from a population health linked dataset. Sample and design Retrospective cohort study of patients with diagnosis of T2DM on 1 January 2015, with a 5-year follow-up. Anonymised electronic healthcare records from the Whole System Integrated Care (WSIC) database will be used. Preliminary outcomes Outcome variables of clinical deterioration will include retinopathy, chronic renal disease, myocardial infarction, stroke, peripheral arterial disease or death. Predictor variables will include sociodemographic and geographic data, patients’ ability to self-manage disease, clinical and metabolic parameters and healthcare service usage. Prognostic models will be defined using multidependence Bayesian networks. The derivation cohort, comprising 80% of the patients, will be used to define the prognostic models. Model parameters will be internally validated by comparing the area under the receiver operating characteristic curve in the derivation cohort with those calculated from a leave-one-out and a 10 times twofold cross-validation. Ethics and dissemination The study has received approvals from the Information Governance Committee at the WSIC. Results will be made available to people with T2DM, their caregivers, the funders, diabetes care societies and other researchers.
Deep Phenotyping and Genetic Characterization of a Cohort of 70 Individuals With 5p Minus Syndrome

Chromosome-5p minus syndrome (5p-Sd, OMIM #123450) formerly known as Cri du Chat syndrome results from the loss of genetic material at the distal region of the short arm of chromosome 5. It is a neurodevelopmental disorder of genetic cause. So far, about 400 patients have been reported worldwide. Individuals affected by this syndrome have large phenotypic heterogeneity. However, a specific phenotype has emerged including global developmental delay, microcephaly, delayed speech, some dysmorphic features, and a characteristic and monochromatic high-pitch voice, resembling a cat’s cry. We here describe a cohort of 70 patients with clinical features of 5p- Sd characterized by means of deep phenotyping, SNP arrays, and other genetic approaches. Individuals have a great clinical and molecular heterogeneity, which can be partially explained by the existence of additional significant genomic rearrangements in around 39% of cases. Thus, our data showed significant statistical differences between subpopulations (simple 5p deletions versus 5p deletions plus additional rearrangements) of the cohort. We also determined significant “functional” differences between male and female individuals.
Post-Traumatic Distress and Burnout Among Chinese School Teachers: The Mediating Role of Forgiveness

Purpose Teachers’ mental health is concerning due to high stress at work. Its association with job-related stressors has been well-documented. Little is known; however, about how traumatic life events and trauma reactions might contribute to their psychological distress. This paper is to explore whether Post-traumatic Stress Disorder (PTSD) following past traumatic event would predict burnout and psychiatric co-morbidity among Chinese k-12 school teachers and whether this prediction would be mediated by forgiveness after controlling for work-related factors. Methods Two hundred and seventy-nine Chinese teachers (F = 223, M = 56) from primary and secondary schools completed demographic information, Post-traumatic Stress Disorder Checklist for DSM-5 (PCL-5), Heartland Forgiveness Scale (HFS), General Health Questionnaire-28 (GHQ-28), Maslach Burnout Inventory-Educator’s Survey (MBI-ES), and a series of measures assessing work-related factors. Results Structured equation modeling (SEM) showed that after controlling for work-related factors, PTSD following past trauma was positively associated with burnout and general psychological problems but negatively associated with levels of forgiveness. Forgiveness carried the impact of PTSD onto burnout rather than general psychological distress. Conclusion To conclude, regardless of the level of stress experienced from working in school, primary and secondary teachers with PTSD from past trauma found it more difficult forgiving which in turn could affect their levels of burnout.
Vocalizations in dance classes teach body knowledge

Abstract Language is believed to be a central device for communicating meaning and knowledge between humans. It is superb in its capacity to code abstract ideas and displaced information, which can be conveyed from person to person, sometimes across centuries. When it comes to instructing a bodily skill in co-present situations, language is used along with other multimodal resources. This paper focuses on the role of vocalizations in dance teaching, syllables that express simultaneous body movement rather than abstract lexical content. While being essentially a vocal resource, the meaning of vocalizations arises in the simultaneously moving bodies. By carrying indexical and only partially conventionalized meaning, vocalizations constitute a puzzle for linguistic theory that preferably targets the arbitrary, symbolic and conventionalized aspects of human vocal production. The meanings conveyed from one body to another through a vocalization are experiential rather than intellectual. Vocalizations provide a solution to the problem of transferring body knowledge from one autonomous organism to another, and can even be embedded in syntax. The analysis is based on an occasion of teaching a jazz routine to a larger group of students.
Brainstem Pain-Modulation Circuitry and Its Plasticity in Neuropathic Pain: Insights From Human Brain Imaging Investigations

Acute pain serves as a protective mechanism that alerts us to potential tissue damage and drives a behavioural response that removes us from danger. The neural circuitry critical for mounting this behavioural response is situated within the brainstem and is also crucial for producing analgesic and hyperalgesic responses. In particular, the periaqueductal grey, rostral ventromedial medulla, locus coeruleus and subnucleus reticularis dorsalis are important structures that directly or indirectly modulate nociceptive transmission at the primary nociceptive synapse. Substantial evidence from experimental animal studies suggests that plasticity within this system contributes to the initiation and/or maintenance of chronic neuropathic pain, and may even predispose individuals to developing chronic pain. Indeed, overwhelming evidence indicates that plasticity within this circuitry favours pro-nociception at the primary synapse in neuropathic pain conditions, a process that ultimately contributes to a hyperalgesic state. Although experimental animal investigations have been crucial in our understanding of the anatomy and function of the brainstem pain-modulation circuitry, it is vital to understand this system in acute and chronic pain states in humans so that more effective treatments can be developed. Recent functional MRI studies have identified a key role of this system during various analgesic and hyperalgesic responses including placebo analgesia, offset analgesia, attentional analgesia, conditioned pain modulation, central sensitisation and temporal summation. Moreover, recent MRI investigations have begun to explore brainstem pain-modulation circuitry plasticity in chronic neuropathic pain conditions and have identified altered grey matter volumes and functioning throughout the circuitry. Considering the findings from animal investigations, it is likely that these changes reflect a shift towards pro-nociception that ultimately contributes to the maintenance of neuropathic pain. The purpose of this review is to provide an overview of the human brain imaging investigations that have improved our understanding of the pain-modulation system in acute pain states and in neuropathic conditions. Our interpretation of the findings from these studies is often guided by the existing body of experimental animal literature, in addition to evidence from psychophysical investigations. Overall, understanding the plasticity of this system in human neuropathic pain conditions alongside the existing experimental animal literature will ultimately improve treatment options.
5-ALA in Suspected Low-Grade Gliomas: Current Role, Limitations, and New Approaches

Radiologically suspected low-grade gliomas (LGG) represent a special challenge for the neurosurgeon during surgery due to their histopathological heterogeneity and indefinite tumor margin. Therefore, new techniques are required to overcome these current surgical drawbacks. Intraoperative visualization of brain tumors with assistance of 5-aminolevulinic acid (5-ALA) induced protoporphyrin IX (PpIX) fluorescence is one of the major advancements in the neurosurgical field in the last decades. Initially, this technique was exclusively applied for fluorescence-guided surgery of high-grade glioma (HGG). In the last years, the use of 5-ALA was also extended to other indications such as radiologically suspected LGG. Here, we discuss the current role of 5-ALA for intraoperative visualization of focal malignant transformation within suspected LGG. Furthermore, we discuss the current limitations of the 5-ALA technology in pure LGG which usually cannot be visualized by visible fluorescence. Finally, we introduce new approaches based on fluorescence technology for improved detection of pure LGG tissue such as spectroscopic PpIX quantification fluorescence lifetime imaging of PpIX and confocal microscopy to optimize surgery.