Miracle-dz/UniFAR-FTUs huggingface dataset:
Constructive Journalism as an Adaptation to a Changing Media Environment

ABSTRACT How can constructive journalism subscribe to established standards of journalism and still offer something new to the field? This paper explores the possibility that constructive journalism looks for better ways to implement the standards in a changing media environment. A case in point is the partial loss of the gatekeeper role in digital journalism. Here, journalism tries to show that it is still relevant by always finding something to criticize. But this may cause readers to turn away because, even though the news informs them about important points of disagreement, it does not outline how the debate might move on. Constructive journalism can be taken to suggest that journalists should evaluate the merits of the arguments involved so that readers can better assess the situation. This would not require journalists to give up on a negative focus in news, but to broaden their view: They should not confine their reporting to those in power but reflect the productive discourse which is often hidden in digital media.
Examining Feelings of Anxiety Experienced by Secondary Students in L2 Evaluative Situations

The main purpose of this study is to examine the potential impact of self-reported test anxiety on L2 academic achievement. The study sample consisted of eighty-five students from ten different state secondary schools in. Majorca. Data were collected using the Spanish version of the Cognitive Test Anxiety Scale (CTAS). The results show that participants suffer from moderate to high test self-reported anxiety levels, regardless of actual academic English proficiency. The findings reveal a significant effect of participants’ self-reported English proficiency on both general test anxiety, and test anxiety directly related to a high-stakes English test (the Spanish University Entrance Examination, SUEE), suggesting that self-perception of proficiency is a stronger predictor of test anxiety than actual academic grades. Additionally, a significant relationship between gender and self-reported test anxiety on the high-stakes English test was found, which indicates that female students tend to perceive certain exam situations as more personally threatening than males. In contrast, school setting (urban versus suburban) was not directly related to test anxiety.
Biomedical treatment and divine assistance: complementary reproductive itineraries among catholic women users of assisted reproduction technology in Argentina

Abstract This paper explores how Catholic women in Argentina use assisted reproduction technologies (ARTs), and particularly the way in which they resort to biomedicine and religion as complementary sources of knowledge, support and assistance during reproductive treatments. It is concerned about the role of the Catholic religion in local reproductive itineraries, seeing that Catholicism has such significant social, political and cultural influence in the country. Drawing on a qualitative and ethnographic study of Catholic spaces of worship, a maternity hospital and in-depth interviews with former users from three metropolitan areas in Argentina, we examine how reproductive itineraries involve the users’ agency in building health resources from religion, with reference to biomedicine. The data reveal that women address religion as an affective, social and therapeutic recourse intertwined with biomedical power. These findings highlight the multiple and complex forms reproduction acquires in specific social, cultural and normative contexts, and contribute to discussing the complementarity between religion and biomedicine in health experiences.
Impact of Growing Location on Kakadu Plum Fruit Composition and In Vitro Bioactivity as Determinants of Its Nutraceutical Potential

Growing location is known to affect the metabolite content and functionality of wild harvested fruits. Terminalia ferdinandiana, commonly known as Kakadu plum (KP), is among the most commercially important native Australian bush foods. Therefore, we evaluated the composition and in vitro bioactivity of aqueous acidified ethanol (AAE) and water extracts prepared from KP fruit wild harvested in the Northern Territory (NT) and Western Australia (WA). Compositional analysis included vitamin C, total ellagic acid (TEA), and total phenolic content (TPC), while in vitro bioactivity was assessed through anti-inflammatory (RAW 264.7 macrophages) activity and cell viability (Hep G2) assay. The IC50 of the extracts ranged from 33.3 to 166.3 µg/mL for NO inhibition and CC50 from 1676 to 7337 µg/mL for Hep G2 cell viability inhibition. The AAE KP fruit extracts from the NT exhibited potent anti-inflammatory activity and impacted Hep G2 cell viability more than other extracts, most likely due to TEA (3189 mg/100 g dry weight (DW)), vitamin C (180.5 mg/g DW) and TPC (196 mg GAE/g DW) being higher than in any other extract. Overall, the findings of the present study are promising for using KP fruit and derived products in functional foods, nutraceuticals, or dietary supplements.
A semianalytical cloud retrieval algorithm using backscattered radiation in 0.4–2.4 μm spectral region

[1] This study is devoted to the development of a semianalytical algorithm for the determination of the optical thickness, the liquid water path, and the effective size of droplets from spectral measurements of the intensity of light reflected from water clouds with large optical thickness. The probability of photon absorption by droplets in the visible and near-infrared spectral regions is low. This allows us to simplify and modify well-known asymptotic equations of the radiative transfer theory, taking into account the fact that the single scattering albedo is close to one. Modified asymptotic equations are used to develop the inverse algorithm. We also avoid the use of the Mie theory, applying parametrizations and geometrical optics results with account for wave corrections. The main advantage of the method proposed lays in the fact that the equations derived not only provide a valuable alternative to the numerical radiative transfer solution but also are much more simple than equations of a conventional asymptotic theory. This simplicity allows both the simplification of the cloud retrieval algorithm and, even more important, the insight into various factors involved in a retrieval scheme.
Pathogen Resistance Depending on Jacalin-Dirigent Chimeric Proteins Is Common among Poaceae but Absent in the Dicot Arabidopsis as Evidenced by Analysis of Homologous Single-Domain Proteins

MonocotJRLs are Poaceae-specific two-domain proteins that consist of a jacalin-related lectin (JRL) and a dirigent (DIR) domain which participate in multiple developmental processes, including disease resistance. For OsJAC1, a monocotJRL from rice, it has been confirmed that constitutive expression in transgenic rice or barley plants facilitates broad-spectrum disease resistance. In this process, both domains of OsJAC1 act cooperatively, as evidenced from experiments with artificially separated JRL- or DIR-domain-containing proteins. Interestingly, these chimeric proteins did not evolve in dicotyledonous plants. Instead, proteins with a single JRL domain, multiple JRL domains or JRL domains fused to domains other than DIR domains are present. In this study, we wanted to test if the cooperative function of JRL and DIR proteins leading to pathogen resistance was conserved in the dicotyledonous plant Arabidopsis thaliana. In Arabidopsis, we identified 50 JRL and 24 DIR proteins, respectively, from which seven single-domain JRL and two single-domain DIR candidates were selected. A single-cell transient gene expression assay in barley revealed that specific combinations of the Arabidopsis JRL and DIR candidates reduced the penetration success of barley powdery mildew. Strikingly, one of these pairs, AtJAX1 and AtDIR19, is encoded by genes located next to each other on chromosome one. However, when using natural variation and analyzing Arabidopsis ecotypes that express full-length or truncated versions of AtJAX1, the presence/absence of the full-length AtJAX1 protein could not be correlated with resistance to the powdery mildew fungus Golovinomyces orontii. Furthermore, an analysis of the additional JRL and DIR candidates in a bi-fluorescence complementation assay in Nicotiana benthamiana revealed no direct interaction of these JRL/DIR pairs. Since transgenic Arabidopsis plants expressing OsJAC1-GFP also did not show increased resistance to G. orontii, it was concluded that the resistance mediated by the synergistic activities of DIR and JRL proteins is specific for members of the Poaceae, at least regarding the resistance against powdery mildew. Arabidopsis lacks the essential components of the DIR-JRL-dependent resistance pathway.
Effect of ejaculation frequency on ram semen characteristics, seminal plasma composition and chilled sperm quality

The aim of this study was to see how chilled sperm quality is affected by ejaculation frequency and its correlation to seminal plasma composition in INRA 180 rams. Five rams were collected at high (HFE) and low frequencies (LFE). For the high frequency, the rams were collected three times on the same day every three days for 18 days. In the low frequency collection, three consecutive ejaculates were collected once a week for four weeks. Ejaculates were collected at 20-minute intervals in either HFE or LFE. Semen characteristics, concentration of total protein, lipid, cholesterol and fructose in seminal plasma were assessed. Semen samples were extended in skim milk-based extender at 15 °C, then evaluated at different storage times (0, 8, and 24 h). Fresh sperm quality parameters, seminal plasma composition, and stored sperm quality were shown to be higher in LFE than in HFE and in the first and second ejaculates than in the third one. After 24 h of storage, sperm quality was correlated to seminal plasma components. In conclusion, the frequency of ejaculation has an effect on the fresh and stored semen quality as well as on seminal plasma composition in INRA 180 rams.
Observation of interstellar ammonia ice

An absorption band probably due to solid ammonia on interstellar grains has been detected in the infrared spectrum at 2.97 . mu.m of the Becklin-Neugebauer object and probably in NGC 2264-IR. An ammonia-water amorphous ice mixture can explain the structure of the new band and of the 3.07 . mu.m interstellar absorption. Laboratory data suggest that a long wavelength wing extending to 3.5 . mu.m in interstellar dust spectra may be absorption by NH/sub 3/ x H/sub 2/O complexes in the ices. In the molecular cloud obscuring the BN object, about 20 times as much NH/sub 3/ is frozen in grains as exists in the gas phase, suggesting that gas-grain interactions may be important in the ammonia chemistry of molecular clouds. Arguments are given that interstellar features at 6.0 and 6.8 . mu.m are also ammonia-related absorptions.
Optimal detection in colored non-Gaussian noise with unknown parameters

The problem of detecting a signal known except for amplitude in incompletely characterized non-Gaussian noise is addressed. The use of a generalized likelihood ratio test or its asymptotically equivalent form, the Rao test, is shown to produce a detector that has the identical asymptotic performance as a generalized likelihood ratio test designed with a priori knowledge of the unknown noise parameters. Since the latter clairvoyant detector always produces an upper bound on performance, the generalized likelihood ratio test is optimum. An example is given in which the noise is modeled as an autoregressive process with a mixed-Gaussian noise excitation. Results of a computer simulation are described which verify the theory.
Factors affecting emission revelation: Evidence from an emerging economy

Purpose: Sustainability disclosures are being increasingly adopted as value relevant by investors but they are still in a budding stage in India. The present study examines the factors affecting emission revelation by Indian companies. Methodology: The emission data disclosed by 39 Indian companies on the CDP (Carbon Disclosure Project) are taken as samples for this study and the relevant financial data of these companies are collected for analysis. A logistic regression approach has been applied to determine the disclosure possibility of selected companies. Findings: From the findings, it is inferred that the size, profitability and leverage are the key determinants of emission disclosure for the sample firms. While size has a significant positive impact, profitability and leverage are negatively related to emission revelation. Practical Implications: The current research will add value to the existing environmental research, especially in emerging economies. Further, it will assist managers and practitioners in formulating and implementing the disclosure policy. Originality: This article has contributed to the preliminary investigations on carbon emission data, disclosed by Indian companies on CDP. In this study, the size, profitability and leverage along with the environmental sensitivity of the industry were chosen as independent variables to understand disclosure practices in a better way.
Reverse Total Shoulder Arthroplasty in Patients Who Exceeded Their Life-Expectancy: A Retrospective Study

Background Reverse total shoulder arthroplasty (RTSA) has become an established treatment for cuff arthropathy, severe osteoarthritis and in certain fracture cases. Due to the increasingly aging population, patients who have already exceeded their life-expectancy pose a significant challenge to the shoulder surgeon. Methods Patients older than 83 years who received a RTSA were included. Elective cases were compared to fracture cases. Patient demographics, hospital stay length, complication rate, functional outcome, patient reported outcome scores and mortality were assessed retrospectively. Results We included 110 cases, 48 in the elective group and 62 in the fracture group. The average age at time of surgery was 86.6 ± 3.5 years. Mean follow-up was 30 months. Elective cases had a significant shorter hospital stay length (P = .014). Functional outcome scores showed better results for the elective group with ASES 79 ± 12 vs 69 ± 19 (P = .07), QuickDASH 29 ± 16 vs 37 ± 21 (P = .22), subjective shoulder value 86 ± 14 vs 75 ± 19 (P = .04*) and VAS . 7 ± 1.5 vs 2.1 ± 2.5 (P = .02*). There was no significant difference in ROM and mean quality-adjusted-life-years (QALY) with 3.2 ± 1.8 vs 3.5 ± 2.5 years (P = .69). The complication rate requiring surgical intervention was 2.4% in the elective and 6.5% in the fracture group. The 1-year mortality was 3 (6%) respectively 9 (15%). Conclusion RTSA in elderly patients can be successful with good functional outcomes. Age should not be a contraindication. Instead, the patient’s activity level and quality of life should be taken into account. Elective RTSA show better functional outcome scores and lower complication rates compared to RTSA in proximal humeral fractures.
Improved GRU prediction of paper pulp press variables using different pre-processing methods

ABSTRACT Predictive maintenance strategies are becoming increasingly more important with the increased needs for automation and digitalization within pulp and paper manufacturing sector.Hence, this study contributes to examine the most efficient pre-processing approaches for predicting sensory data trends based on Gated Recurrent Unit (GRU) neural networks. To validate the model, the data from two paper pulp presses with several pre-processing methods are utilized for predicting the units’ conditions. The results of validation criteria show that pre-processing data using a LOWESS in combination with the Elimination of discrepant data filter achieves more stable results, the prediction error decreases, and the predicted values are easier to interpret. The model can anticipate future values with MAPE, RMSE and MAE of 1.2, 0.27 and 0.30 respectively. The errors are below the significance level. Moreover, it is identified that the best hyperparameters found for each paper pulp press must be different.
EFFECT OF PIGEON MANURE TEA AND Spirulina plantensis ALGAE
ON NUTRITIONAL STATUS AND FRUIT QUALITY OF SUCCKARY
MANGO TREES

Nutritional status and fruit physical and chemical properties of Succkart mango trees grown in clay soil under Aswan Governorate conditions, Egypt in response partial replacement of mineral nitrogen by using pigeon manure tea + Spirulina plantensis algae were investigated during 2018 and 2019 seasons. Replacement of mineral N by using pigeon manure tea + Spirulina plantensis were very effective in improving all leaves mineral contents (macro elements; N%, P%, K% and Mg % and micro nutrients; Fe, Zn, and Mn ppm). However, nonsignificant differences were observed in leaves Cu contents. Furthermore, fruit physical properties (in terms of fruit length, fruit diameter & pulp/fruit ratio) and chemical properties (in terms of increasing TSS%, reducing, total sugars % & vitamin C contents and decreasing total acidity%) were improved. This positive effect continually until replaced 40% of mineral N fertilizer by using 20% pigeon manure tea + 20% Spirulina plantensis. However, gradual increasing of mineral N replaced ratio from 40% to 100% caused a gradual and significant decrement in all leaves mineral elements, fruit physical and chemical properties. However, the trees received 60% mineral N + 20% pigeon manure tea + 20% Spirulina plantensis present the best results. Contrary, the trees received 0.0% mineral N + 50% 50% pigeon manure tea + 50% Spirulina plantensis present the lowest contents of macro and micro elements as well as fruit physical and chemical properties.
Role of Machine Learning in Precision Oncology: Applications in Gastrointestinal Cancers

Simple Summary Worldwide gastrointestinal (GI) malignancies account for about 25% of the global cancer incidence. For some malignancies, screening programs, such as routine colon cancer screenings, have largely aided in the early diagnosis of those at risk. However, even after diagnosis, many GI malignancies lack robust biomarkers to serve as definitive staging and prognostic tools to aid in clinical decision-making. Radiomics uses high-throughput data to extract various features from medical images with the potential to aid personalized precision medicine. Machine learning is a technique for analyzing and predicting by learning from sample data, finding patterns in it, and applying it to new data. We reviewed the fundamental concepts of radiomics such as imaging data acquisition, lesion segmentation, feature design, and interpretation specific to GI cancer studies and assessed the clinical applications of radiomics and machine learning in diagnosis, staging, evaluation of tumor prognosis, and treatment response. Abstract Gastrointestinal (GI) cancers, consisting of a wide spectrum of pathologies, have become a prominent health issue globally. Despite medical imaging playing a crucial role in the clinical workflow of cancers, standard evaluation of different imaging modalities may provide limited information. Accurate tumor detection, characterization, and monitoring remain a challenge. Progress in quantitative imaging analysis techniques resulted in ”radiomics”, a promising methodical tool that helps to personalize diagnosis and treatment optimization. Radiomics, a sub-field of computer vision analysis, is a bourgeoning area of interest, especially in this era of precision medicine. In the field of oncology, radiomics has been described as a tool to aid in the diagnosis, classification, and categorization of malignancies and to predict outcomes using various endpoints. In addition, machine learning is a technique for analyzing and predicting by learning from sample data, finding patterns in it, and applying it to new data. Machine learning has been increasingly applied in this field, where it is being studied in image diagnosis. This review assesses the current landscape of radiomics and methodological processes in GI cancers (including gastric, colorectal, liver, pancreatic, neuroendocrine, GI stromal, and rectal cancers). We explain in a stepwise fashion the process from data acquisition and curation to segmentation and feature extraction. Furthermore, the applications of radiomics for diagnosis, staging, assessment of tumor prognosis and treatment response according to different GI cancer types are explored. Finally, we discussed the existing challenges and limitations of radiomics in abdominal cancers and investigate future opportunities.
Interleukin 10 (IL-10) Production and Seroprevalence of Entamoeba histolytica Infection among HIV-Infected Patients in South Africa

Infections by the parasite E. histolytica are increasing in HIV-infected individuals. Interleukin (IL-10) plays an important role in maintaining the mucosal barrier. Therefore, the seroprevalence of E. histolytica was investigated in relation to the IL-10 serum concentration among HIV- infected patients. A total of 647 blood samples were collected from asymptomatic HIV-infected patients. The Entamoeba histolytica antigen (GALNAC lectin) and serum antibodies were assessed using specific ELISAs (TECHLAB, Virginia, USA). IL10 blood levels were measured using a commercial ELISA test, and the results were analyzed using parametric and non-parametric statistical tests. The Gal/GALNAC lectin was detected in only 0.5% (3/647) of individuals, and the antibodies against E. histolytica were detected in 65.2% (422/647) of the samples. A significant increase in IL-10 levels was found in 68.1% of patients who were sero-negative for E. histolytica antibodies compared to patients who were sero-positive. There is a high level of exposure to E. histolytica among HIV patients in South Africa, although the prevalence of amoebic liver abscesses might be low. This study revealed that elevated levels of IL-10 might be associated with a reduced risk of amebiasis.
Agronomic biofortification of calcium in cabbage (Brassica Oleracea var capitata) applied with different sources of liming in Ca deficient acidic soil of Coonoor, The Nilgiris (Typic Dystropept)

The human body needs calcium (Ca) to maintain strong bones and teeth and to build a strong structure, helping muscles contract and playing a crucial role in the structural and signalling process. However, low calcium consumption in the diet has related to a variety of disorders in humans, which can have long-term health repercussions. Therefore, this study aimed to evaluate the Ca biofortification capacity of cabbage (Brassica oleracea var capitata) supplied with different Ca-supplying inorganic fertilizer sources at various fixed levels based on soil liming potential grown in open field conditions where four hybrids of cabbage grown in Ca deficient acidic soil. Ca applied as Limestone (CaCO3) (150% and 175% liming potential) and Dolomitic limestone [CaMg(CO3)2]150% liming potential yield high Ca content in cabbage head and foliage (61.3 mg 100 g-1), high glucosinolates content (53.12 mg 100 g-1) and lower oxalate(0.31 mg 100 g-1) that produced firmer head as compared with Ca untreated control which also promoted high market value for Ca biofortified ones. On the other hand, Ca addition leads to lower Fe and Mg content in the cabbage tissues due to an antagonistic effect. All four hybrids of cabbage studied using the agronomic method of biofortification significantly(p≤0.05) improved Ca enrichment (20% more compared to control) without showing any toxicity symptoms making possibility to obtain Ca biofortified cabbage in acidic soil of a hilly ecosystem by application of liming.