Miracle-dz/UniFAR-FTUs huggingface dataset:
Bacillus vallismortis EXTN-1-Mediated Growth Promotion and Disease Suppression in Rice

Bacillus vallismortis EXTN-1, a biocontrol agent in cucumber, tomato and potato was tested in rice pathosystem against rice fungal pathogens viz. Magnaporthe grisea, Rhizoctonia solani and Cochliobolus miyabeanus. Apart from increasing the yield in the bacterized plants (11.6-12.6% over control), the study showed that EXTN- 1 is effective in bringing about disease suppression against all the tested fungal pathogens. EXTN-1 treatment resulted in 52.11% reduction in rice blast, 83.02% reduction in sheath blight and 11.54% decrease in brown spot symptoms. As the strain is proven as an inducer for systemic resistance based on PR gene expression in Arabidopsis and tobacco models, it is supposed that a similar mechanism works in rice, bringing about disease suppression. The strain could be used as a potent biocontrol and growth-promoting agent in rice cropping system.
The first golden hour of breastfeeding: where do we stand?

Background: Breastfeeding is the corner stone of child survival, nutrition and development and maternal health. The World Health Organization recommends that all neonates be breastfed within one hour of birth. Early initiation of breast feeding (EIBF) is a sentinel indicator for successful breastfeeding. The aim of this study is to assess the practice of early initiation of breastfeeding among babies delivered in our tertiary care teaching unit and to list out the reasons for delay in implementation.Methods: This study is done on 409 postnatal mothers who delivered in our hospital. All the mother-baby dyads enrolled were interviewed within 12 hours of delivery. Data was collected through clinical records and interview of mothers.Results: EIBF is seen only in 19.8% of babies. Median time of initiation of breast feed is 110 minutes. Primiparous mothers had a delay in initiation of feed (p<0.01). The mothers who received practical support from health care providers had successful EIBF(p< 0.01). The main reasons for delay in feeding were lack of early, uninterrupted skin to skin contact between baby and mother and the separation of mother - baby dyads immediately after delivery.Conclusions: EIBF rate in our centre is extremely low compared to the national standards of 44.6%. Several gaps in EIBF need to be addressed and a strict institutional protocol need to be followed. Periodic review of EIBF rates needs to be done by every institute to achieve a global target of > 90%.
Pilot Reuse for Vehicle-to-Vehicle Underlay Massive MIMO Transmission

Pilot overhead constitutes a bottleneck in vehicle-to-vehicle (V2V) underlay massive multiple-input multiple-output (MIMO) cellular networks. To decrease the pilot overhead and further improve the spectral efficiency, we propose pilot reuse for V2V underlay massive MIMO transmission. First, based on the angle domain sparsity of massive MIMO channels, we derive the channel angle domain condition under which the channel estimation mean-square-error for cellular and V2V links can be both minimized. Motivated by this condition, we then develop an angle information assisted pilot assignment (AIAPA) algorithm. Numerical results indicate that the proposed angle information assisted pilot reuse scheme can significantly improve the performance of spectral efficiency compared with the conventional orthogonal pilot scheme for both cellular and V2V links.
Finding identity in the midst of ambiguity: case and number disambiguation in Basque

ABSTRACT Restrictive contextual information has been found to bias syntactic disambiguation, when only one alternative leads to a meaningful interpretation. The current study tests whether disambiguation can be influenced by nonrestrictive cues – when several alternatives are equally plausible. We first evaluated if modifier number biased the disambiguation of number- and case-ambiguous nouns in Basque. In a noun phrase comprehension paradigm, ambiguous noun number judgments were biased by preceding modifier number. Then, using a preamble completion paradigm, we examined whether headnoun disambiguation and thus sentence completion was also biased by modifier number. Our results suggest that nonrestrictive information (singular and plural number) can affect disambiguation. We also report task differences in the overall interpretation of ambiguous Basque nouns, as well modifier-induced agreement errors. We suggest that the parser uses any available context information when there is ambiguity, including preceding modifier markings.
The Genus Marasmius from the Southern Appalachian Mountains

The genus Marasmius (Tr icholomataceae , Agaricales , Basidiomycotina) constitutes one of the larger genera of l itter­ decompos ing and l itter-binding mushrooms , represented worldwide by approximately 500 species . Thirty-eight taxa representing eight sect ions of the genus are recognized as occurring in the southern Appalachian Mountains . Seven of these taxa are new to science , whi le an additional 1 4 are reported for the f irst t ime from the study area . In addition , one new section is proposed . Descr iptions of southern Appalachian species of Marasmius have been comp iled from data on macroand micromorphological features of basidiomata , supplemented with data on geographical and ecological d istr ibution . Details on nomenclature and compar isons with phenet ically s imilar taxa are provided , as are illustrations of diagnost i c micromorphological characters . Dichotomous keys to the sect ions and species of southern Appalachian Marasmius are presented , and a preliminary key to Marasmius from North America is offered . v The taxonomic potent ial of cultural morphology and spot tests for phenoloxidase activity have been analyzed . Descriptions of culture mat morphology of 29 taxa grown on Malt Extract Agar (MEA) and Potato Dextrose Agar ( PDA) are presented , and a synoptic key to aid in their d iagnosis is provided . These studies indicated that culture mat morphology as developed on MEA was s imilar for most taxa , and consequently of l imited taxonomic value . Conversely, culture mat morphology developed on PDA was d istinctive and taxonomically useful for each taxon examined . Results of spot tests for phenoloxidase activity indicate that cultures of all taxa examined showed laccase act ivity , whi le bas idiomata of the same taxa showed no laccase activity . In comparison , cultures and corresponding bas idiomata of some spec ies showed tyros inase activity , whi le other taxa showed no tyros inase activity . Spot tests for tyrosinase act ivity proved taxonomically useful . vi To clarify the taxonomy and nomenclature of southern Appalachian Marasmius extant type spec imens , authentic material or representat ive material of 2 1 7 species have been examined and their correct taxonomic dispos it ion determined . Neotype or lectotype spec imens are des ignated , and new combinations are proposed where appropr iate .
The impact of treatment exposure on diabetes biomarkers among Jordanian breast cancer women: a connection through FBG, C-peptide and HOMA-IR

© Medical Communications Sp. z o.o. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (CC BY-NC-ND). Reproduction is permitted for personal, educational, non-commercial use, provided that the original article is in whole, unmodified, and properly cited. The impact of treatment exposure on diabetes biomarkers among Jordanian breast cancer women: a connection through FBG, C-peptide and HOMA-IR Wpływ leczenia na biomarkery cukrzycy u kobiet z rakiem piersi w Jordanii: związek z glikemią na czczo, peptydem C i wskaźnikiem HOMA-IR
Giant Cell Tumour of the Distal Ulna: A Case Report

1 3 rd Year Resident Doctor 2 Associate Professor SBKSMIRC, 3 Assistant Professor SBKSMIRC 4 Senior Resident SBKSMIRC, 5 3 rd Year Resident Doctor SBKSMIRC Orthopaedics Department, SBKSMIRC, Sumandeep Vidyapeeth, Vadodara, Gujrat, India Abstract Introduction: Giant cell tumour (GCT) in distal ulna is a rare site. GCT is a benign and locally aggressive tumour. Generally occurs in adults between the ages of 20 and 40 years. This is very unusual, with a reported incidence of 0.45 to 3.2%. A few cases of GCT distal ulna have been described in the literature. Here, we report a case of GCT at unusual site. Case Presentation: A 17-year-old female presented with a painful swelling of the right wrist with painful wrist movement. That case was diagnosed as GCT of distal ulna after proper investigation. The tumor was treated with marginal resection with chemical cauterization and restoration and fixation of TFCC to distal end of radius with help of ethibond and k-wire, below elbow pop slab was given and K-wire was removed after 6 weeks. Conclusions: GCT of distal ulna is a rare occurrence. This tumour may have a good prognosis if it is diagnosed early and radically treated. Excision of mass gave us excellent result. Excision biopsy confirmed the diagnosis.
Sampling variation for carotenoids and dry matter contents in cassava roots.

Cassava is an important crop for millions of people, particularly those living in marginal agriculture land in tropical and subtropical regions of the world. Cassava is an excellent source of calories, but enhancement of the nutritional quality, including carotenoids, minerals and proteins is highly desirable. For efficient improvement of carotenoids content in segregating cassava populations, proper sampling procedures are needed. For this study, roots from cloned plants of genotype CM 2772-3 were harvested and analyzed. Samples along the longitudinal (proximal, central and distal section) and across the transversal (periphery, mid-parenchyma and core) axes of the roots were analyzed. Plant-to-plant variation was only significant for dry matter content. Carotenoids and dry matter content were quantified individually in 243 root samples. Carotenoids content (fresh weight basis) was higher in the proximal sections and gradually lower in the central and distal portions. An opposite trend was observed when carotenoids were quantified on dry weight basis. Carotenoids concentrations were higher in the core and lower towards the periphery of the root (both fresh and dry weight basis). A proper sampling methodology to overcome differences according to the results of this study is proposed.
Investigation of the mitochondrial functions of proteins genetically associated with Parkinson's Disease

Parkinson’s disease (PD) is a common neurodegenerative disorder which usually occurs sporadically, but in 5-10% of cases is genetically inherited. Many of the causative mutations underlying these familial forms have been identified, and studying the functions of the proteins encoded by these genes has highlighted several common pathogenic mechanisms. In particular, mitochondrial dysfunction has been shown to play a major role in the pathogenesis of both familial and sporadic forms of the disease. This thesis investigates the importance of the proteins encoded by these PD-associated genes in mitochondrial function, focusing on two proteins in detail. Firstly, live cell imaging techniques were used to investigate the mitochondrial physiology of cells derived from HtrA2 knockout mice, an animal model in which the loss of a mitochondrial protein gives rise to severe neurodegenerative phenotype. Similar approaches were then applied to an RNAi screen to investigate the effects of other PD-associated genes on mitochondrial function, while a separate study specifically investigated the putative mitochondrial localisation and function of the PD-associated protein Fbxo7. Results from these studies revealed that HtrA2 has an important role in maintaining the function of the ATP synthase, as HtrA2 deficient cells exhibited a severe uncoupling combined with an increase in proton translocation through the ATP synthase but a reduction in ATP synthesis. Furthermore, Fbxo7, a protein with no reported link to the mitochondria, was found to partially localise to the mitochondria under basal conditions and to further accumulate on depolarised mitochondria. Further work indicated that this protein interacts with two other PD proteins, PINK1 and Parkin, and together with these proteins functions in a previously described pathway to mediate the selective autophagic clearance of damaged mitochondria. These results contribute to our understanding of the functions of these proteins and further emphasise the relevance of mitochondrial dysfunction in PD pathogenesis.
Hyperparameter optimization using Bayesian optimization on transfer learning for medical image classification

The field of medicine has a history of adopting new technology. Video equipment and sensors are used to visualize areas of interest in the human allowing for doctors to make diagnoses based on imagery observations. However, the detection rate of the doctors towards diseases and abnormalities is heavily dependent on the experience and state of mind of the doctor doing the examination. Computer-aided detection systems are systems designed to aid the doctor in improving the detection rate, and they are using or experimenting with machine learning. Deep convolutional neural networks, a type of machine learning, are shown to be highly efficient at image detection, classification, and analysis [103]. However, these networks require large datasets to train properly. Transfer learning is a training technique where we use a pre-trained machine learning model and transfer some of the attained knowledge from other application domains over to a new model. This way, we can use small datasets and train a model in much shorter time. In this respect, transfer learning works fine but has many configurations called hyperparameters which are often not optimized. Our work aims to address the lack of automatic hyperparameter optimization for transfer learning by experiments utilizing a known hyperparameter optimization method and creating a system for running those experiments. We decided to focus on the field of gastroenterology by utilizing two publicly available datasets showing images from the gastrointestinal tract. We used a specific transfer learning method and chose hyperparameters suitable for automatic optimization. The optimization method we chose was Bayesian optimization because of its reputation for being one of the best methods for hyperparameter optimization [45, 70]. However, Bayesian optimization has its own hyperparameters, and there are also different versions of Bayesian optimization. We chose to limit the thesis, so we use standard Bayesian optimization with standard parameters. We created a system for running automatic experiments of three different hyperparameter optimization strategies. With the system, we ran a set of experiments for each dataset. Between the strategies, one was successful in achieving a high validation accuracy, while the others were considered failures. Compared to baselines, our best models was around 10% better. With these experiments, we demonstrated that automatic hyperparameter optimization is an effective strategy for increasing performance in transfer learning and that the best hyperparameters are nontrivial to select manually.
New faulted phase selector solution for dealing with the effects of Type-4 Wind Turbine on present protection relaying algorithms

Type 4 wind turbines are becoming one of the most employed technologies for all new wind turbines installed in the power system and their penetration is expected to increase. This technology presents the advantage that of fully decoupling the behavior of the generator from grid disturbances. This decoupling helps the wind turbine to reach the compliance requirements of international grid codes [1] during grid disturbances.Considering such circumstance, within Work Package 4 of EU funded MIGRATE Project, an ad-hoc Type 4 wind turbine model has been developed in Real-Time Digital Simulator (RTDS) platform, including algorithms for international grid code compliance and independent controls for positive and negative sequence current. The objective of developing such detailed RTDS model is to apply tests in laboratory to real protection relays, from different vendors, to study potential problems or limitations of present protection algorithms in the case of high penetration of this type of renewable energy generation sources into the grid. The in-depth analysis of the results obtained in such tests allows identifying specific weak points of the present protection algorithms in the considered scenarios, thus paving the way for the research on new protective solutions, as it is shown in the present paper.
Study of role of prognostic markers in the management of organophosphorus poisoning patients

Background: POP scale and serum cholinesterase levels may be effective indicators for mortality in organophosphorus poisoning. The objective of this study was to assess the POP scale score and serum cholinesterase levels at initial presentation in OP poisoning and its correlation with need for ventilator support and mortality. Methods: One hundred and fifty eligible participants were recruited, and POP scale and serum cholinesterase levels were assessed. Results: Total 32.7% patients died; of which 30 out of 75 belonged to moderate and 19 out of 22 patients belonged to severe group; as per POP scale score. 49 out of 75 in moderate poisoning and all patients in severe poisoning required ventilator support. With respect to serum cholinesterase level; 20 out of 23 and 29 out of 77 patients died in the severe and moderate poisoning categories respectively. Forty eight out of 77 in moderate poisoning and all patients in severe poisoning required ventilator support. Conclusions: Assessment by POP scale and serum cholinesterase levels is useful in assessing the need for ventilator support and are indicators of mortality in OP poisoning cases.
Corpus-based Comparison of Distributional Models of Language and Knowledge Graphs

One of the main goals of artificial intelligence is understanding how intelligent agent acts. Language is one of the most important media of communication, and studying theories that can account for the meaning of natural language expressions is a crucial task in artificial intelligence. Distributional semantics states that the meaning of natural language expressions can be derived from the context in which the expressions appear. This theory has been implemented by algorithms that generate vector representations of natural language expressions that represent similar natural language expressions with similar vectors. In the last years, several cognitive scientists have shown that these representations are correlated with associative learning and they capture cognitive biases and stereotypes as they are encoded in text corpora. If language is encoding important aspects of cognition and our associative knowledge, and language usage change across the contexts, the comparison of language usage in different contexts may reveal important associative knowledge patterns. Thus, if we want to reveal these patterns, we need ways to compare distributional representations that are generated from different text corpora. For example, using these algorithms on textual documents from different periods will generate different representations: since language evolves during time, finding a way to compare words that have shifted over time is a valuable task for artificial intelligence (e.g., the word "Amazon" has changed its prevalent meaning during the last years). In this thesis, we introduce a corpus-based comparative model that allows us to compare representations of different sources generated under the distributional semantic theory. We propose a model that is both effective and efficient, and we show that it can also deal with entity names and not just words, overcoming some problems that follow from the ambiguity of natural language. Eventually, we combine these methods with logical approaches. We show that we can do logical reasoning on these representations and make comparisons based on logical constructs.
TNF-α and IL-6 as Biomarkers of Impaired Lung Functions in Dimethylacetamide Exposure

Summary Background Tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) are well-known biomarkers of systemic inflammation that have been associated with many diseases in the past. In this study, we aimed to determine the relationship between impaired lung functions and the levels of these biomarkers in DMAc exposed people. Methods 101 non-exposed control subjects (Group 1) and 109 DMAc-exposed workers from the polyvinyl chloride (PVC) industry were included in the study. In the next step, the exposed group was divided into two groups according to the level of exposure (Group 2 and 3). DMAc, TNF-α, IL-6, creatinine, ALT, AST, GFR and standard spirometry measurements were carried out in all subjects. Results When compared to the control group, TNF-α and IL-6 levels were significantly high compatible with the increase of DMAc levels, in the exposed groups. Urinary DMAc Levels were 0.06 mg/L in the control group. This level is significantly low when compared to exposed and severely exposed group (2.43 mg/L and 3.17 mg/L). TNF-α levels were 56.86 pg/mL, 145.52 pg/mL and 230.52 pg/mL in control, exposed and severely exposed groups. IL-6 levels were found to be 38.08 pg/mL, 89.19 pg/mL and 116 pg/mL for control, exposed and severely exposed groups, respectively. Similarly, the FEV1/FVC ratio decreased especially in the severely exposed group (p 0.001). Conclusions In our study, results have revealed that TNF-and IL-6 levels are promising biomarkers in the early diagnosis of lung function impairment in inhalational DMAc exposure.
Struggling With Aging and Illness: Life Experiences of Elderly Schizophrenia Patients in the Community of Taiwan

Aims: The number of elderly patients with schizophrenia in Taiwan has increased significantly. Most Taiwanese patients with schizophrenia are community-dwelling and, if elderly, are at increased risk of mental illness and mental health problems. The life experiences of community-dwelling elderly patients dealing with schizophrenia in Taiwan have not been well studied. This study aimed to explore the lived experiences of such patients through in-depth interviews. Methods: This qualitative study was carried out in psychiatric hospital day-care centers in Taiwan. We interviewed 16 patients (9 men and 7 women, mean age=60.43 years, SD=5.53 years). Data were analyzed using Colaizzi’s method of analysis. Results: The five major themes pertaining to the life experiences of community-dwelling elderly schizophrenia patients were identified as: 1) living alone, feeling lonely, and caring for myself; 2) anxiety and pessimism about the future; 3) internal conflict and aging; 4) seeking help; 5) delaying needs and engaging in healthy activities. Conclusions: The community-dwelling elderly schizophrenia patients were worried about the deterioration of their health, loss of self-care ability with aging, and decreasing access to community support and resources while striving to maintain their lives in the community. Mental health care professionals should understand the needs and abilities of patients, and help them to continue to live in the community. In addition to accepting continuous treatment, the patients should be encouraged to maintain healthy behaviors as well as enhance functioning and quality of life.