Miracle-dz/UniFAR-FTUs huggingface dataset:
THE TRIPLE BOTTOM LINE AND IMPACT ASSESSMENT: HOW DO TBL, EIA, SIA, SEA AND EMS RELATE TO EACH OTHER?

Triple bottom line (TBL) reporting is a concept that is sweeping across the business sector, government and NGOs. However, many of the issues faced by consideration of the social in TBL are very similar to issues faced by social impact assessment (SIA) in its connections with biophysical environmental impact assessment (EIA) and the financial considerations associated with projects including economic and fiscal impact assessment, and cost-benefit analysis. It would appear that the advocates of TBL and the institutions that have adopted TBL are ignorant of SIA and other forms of impact assessment. The view presented here is that TBL is a fad that presents little that is new, and that TBL would learn a great deal by considering the experience of SIA.
Influence of integrated fertilizer management on nutrients utilization and soil chemical properties by pearl millet-wheat cropping system

The field experiment was conducted to study the effect of different sources of fertilizers/manures on nutrients uptake by the crops and soil properties during 2004-05 and 2005-06 on pearl millet-wheat cropping system at Research Farm of Department of Agronomy, CCS Haryana Agricultural University, Hisar. The organic carbon of soil varied around 10 per cent in different treatments and was higher with the use of organic sources as compared to chemical fertilizers alone in both pearl millet and wheat. The available phosphorus and potassium in the soil increased markedly with each successive increase in fertilizer dose irrespective of sources of nutrients. Available phosphorus and potassium contents were also higher with the application of organic fertilizers. The application of higher dose of fertilizers increased nitrogen, phosphorus and potassium uptakes by pearl millet and wheat. The nitrogen, phosphorus and potassium uptake (mean of 2-years) were 180.0, 39.2 and 418.3 kg ha -1 , respectively with the application of recommended chemical fertilizers during both the seasons, while these values were 188.8, 42.7 and 436.3 kg ha -1 with the application of 50 per cent nitrogen through FYM + 50 per cent nitrogen through chemical fertilizers during kharif and 100 per cent recommended fertilizers during rabi season.
Mindfulness Practice Reduces Hair Cortisol, Anxiety and Perceived Stress in University Workers: Randomized Clinical Trial

Background: Anxiety and stress are common mental health conditions reported by university workers. Practices of mindfulness represent one promising approach as an effective and feasible means to reduce stress, improve mental health and promote well-being; however, there are no clinical trials that have combined long-term stress biomarkers (hair cortisol) and psychometric assessments in a sample of university workers. Objective: This study investigated the effectiveness of a mindfulness-based program on long-term stress, by measuring hair cortisol concentration and perceived stress and anxiety among workers who were undergoing high levels of stress. Method: We conducted a randomized clinical trial at work among the employees of a public university. We compared a group that received the eight-week mindfulness intervention with the wait list group who received no intervention. Results: A total of 30 participants were included in the study, with n = 15 subjects in the intervention group and n = 15 in the control group. Hair cortisol, perceived stress and anxiety significantly reduced after the intervention compared to the control group, which had no appreciable decline in the measured variables. Conclusion: This clinical trial showed the effectiveness of a mindfulness program on mental health psychometric measures (perceived stress and anxiety) and on a long-term stress biomarker (hair cortisol). It can be concluded that an eight-week mindfulness program could be implemented as an effective strategy to reduce stress biomarkers (hair cortisol) as well as perceived stress and anxiety, improving the mental health of university workers.
CAR T-Cells for the Treatment of B-Cell Acute Lymphoblastic Leukemia

B-cell acute lymphoblastic leukemia (B-ALL) is the most common subtype of acute leukemia in the pediatric population. The prognosis and treatment of B-ALL have dramatically improved over the past decade with the adoption of intensive and prolonged combination chemotherapy regimens. The advent of novel immunologic agents such as blinatumomab and inotuzumab has changed the treatment landscape of B-ALL. However, patients have continued to relapse, raising the need for novel therapies. Chimeric antigen receptor (CAR) T-cells have achieved a milestone in the treatment of B-ALL. Two CD19-targeting CAR T-cells were approved by the Food and Drug Administration and the European Medicines Agency for the treatment of relapsed and/or refractory B-ALL. In this review, we review the available data regarding CD19-targeting CAR T-cells with their safety profile as well as the mechanism of resistance to these agents and the way to overcome this resistance.
COVID-19 among people living with HIV in Lebanon.

Background There are conflicting reports of the interaction between COVID-19 and HIV infection among coinfected individuals, and there is a particular dearth of evidence among populations in the Middle East. Aim To determine if living with HIV and use of antiretroviral therapy increases susceptibility to, and severity of, COVID-19. Methods This cross-sectional study was based on telephone survey of COVID-19 symptoms duration and clinical course among 200 people living with HIV (PLWHs) and a review of medical records in Beirut, Lebanon, during Spring 2021. Data were collected from consenting patients using standardized forms. The laboratory and medical characteristics of PLWHs with and without COVID-19 were compared and the outcomes of COVID-19 were described. A binary logistic regression model for contracting COVID-19 was constructed based on clinically relevant covariates consistently associated with COVID-19. Significance level was set at 0.05 and statistical analysis was performed using SPSS version 27.0. The Lebanese American University Institutional Review Board approved the study protocol. Results Fifty-two of 200 PLWHs contracted COVID-19 but only 4 progressed to severe COVID-19. No significant differences were found with respect to gender, time since HIV diagnosis, most recent CD4 count, viral load, substance use, comorbidities, or use of antiretroviral therapy. Older PLWHs were at lower risk of contracting COVID-19; COVID-19 infection was significantly associated with younger age. Conclusions COVID-19 infection was associated with younger age among PLWHs in Lebanon, possibly due to behavioural and socioeconomic factors.
Linear prediction of sea ice anomalies

Stationary and cyclostationary statistical models are developed to predict Arctic and Antarctic sea ice anomalies, using as predictors previous sea ice, atmospheric, and oceanic anomalies. A prediction model hierarchy is developed by using first internal (i.e., sea ice) predictors, including persistence, lateral advection, and diffusion, and a cyclostationary model that allows the prediction coefficients to vary seasonally. An external cyclostationary model hierarchy is developed next to investigate the ability of atmospheric winds, heat flux proxies air temperatures, and sea surface temperatures (SST's) to predict sea ice extent. In the Arctic the highest skill was generally achieved by the cyclostationary internal model. Attempts to forecast the ice data at 1–2 month intervals after removal of its autoregressive component, using external predictors, gave nonsignificant models. At longer lead times (e.g., 3 months) the SST in the North Pacific was superior to persistence for sea ice prediction in the western Bering Sea. In the Southern Ocean, especially off East Antarctica, the model that included lateral advection and diffusion outperformed both persistence and the cyclostationary internal model. In the Weddel Sea and the Ross Sea, persistence proved to be the best sea ice predictor. No external models were tested for Antarctic sea ice because of insufficient data.
Variability of dry sediment bulk density between and within retention ponds and its impact on the calculation of sediment yields

Monitoring sediment yields from catchments is important for assessing overall denudation rates and the impact of environmental change. One of the methods used to assess sediment yield is by quantifying sedimentation rates in reservoirs, lakes or small ponds. Before reliable sediment yield values (t ha−1 a−1) can be computed from such sedimentation records, the measured sediment volumes need to be converted to sediment masses using representative values of the dry sediment bulk density. In textbooks, simple relations predicting dry sediment bulk density from sediment texture, time since deposition and hydrologic condition are presented. In this study, 13 small flood retention ponds in central Belgium were sampled to reveal the variability in dry sediment bulk density and to test the commonly used relations to predict dry sediment bulk density. Dry sediment bulk density varies not only between the selected ponds (0·78–1·35 t m−3) but also within individual ponds (coefficient of variation at 95 per cent ranges from 7 to 80 per cent). The observed variability can be attributed primarily to the hydrologic condition of the retention pond and, also, to sediment texture. The existing relations are not a reliable predictor for the observed dry bulk densities, because they are primarily based on sediment texture. Thus, when using volumetric sedimentation data from small ponds with varying hydrologic condition to predict sediment yield, existing relations predicting dry sediment bulk density cannot be applied. Instead, frequent and dense sampling of sediments is necessary to calculate a representative value of the dry sediment bulk density. Copyright © 2001 John Wiley & Sons, Ltd.
The Evolution of the South Atlantic Anomaly Measured by RHESSI

The South Atlantic Anomaly (SAA) is a region that contains an increased particle background due to a local minimum of the geomagnetic field. Because of this relation the trapped radiation follows the temporal variations of the Earth’s magnetic field. The SAA’s evolution in response to this variation together with other influences like the sun shall be determined. For this examination data taken with the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) during early 2002 until the beginning of 2010 are used. The particle detector of this satellite has the advantage that it can distinguish between low energy particles, namely electrons, and higher energetic particles, i.e. protons. Being oppositely charged and due to the difference in their energy, both particles show slightly different behavior. Therefore, the analysis is applied separately for electrons and protons allowing for comparison of the results. Maps of the SAA are provided on a quarter of a year basis with a resolution of 10 km altitude and 0.5◦ in latitude and longitude. Furthermore, cuts at two different latitudes, −23◦ for comparison with the Rossi X-ray Timing Explorer (RXTE) and −31◦ through the center of the SAA, are made. It is shown that towards the center of the SAA a Gumbel distribution describes the particle flux sufficiently well whereas farther towards the northern edge of the SAA a Weibull distribution is a better choice. The norm of the fitting functions is used as a measure for the strength of the SAA whereas the maximum position of the same function accounts for the SAA maximum position. This position is found to be drifting westwards by about 0.6◦ yr−1. Additionally, the anti-correlation of the SAA strength to the solar activity is confirmed while at the same time the disturbance of the particle environment through large solar storms is shown.
Intraseasonal surface cooling in the equatorial western Pacific

Abstract Three idealized models for the surface structure of the Madden–Julian oscillation (MJO) were summarized from observations, numerical simulations, and theories, which demonstrate contrasting phase relationships of surface variables. To explore which model represents the most commonly observed features of the MJO in the western Pacific, in situ observations from moored buoys and satellite data were used to construct composite time series for components of surface fluxes of heat, momentum, and buoyancy during intraseasonal cooling episodes, defined as periods when the ocean loses heat through the surface. The composites show a near in-phase relationship among maxima in net surface cooling, latent heat flux, precipitation rate, wind stress, westerly wind, and minima in solar radiation flux and net buoyancy flux. The phase of net buoyancy flux is determined by the net heat flux, whereas its magnitude is substantially compensated by freshwater flux. During the composite cooling episode, both the oceani.
Australian Energy Resource Assessment

335 Appendices A comprehensive and integrated assessment of Australia's energy resources will be developed to support industry investment decision-making and government policy development. The Department of Resources, Energy and Tourism has jointly commissioned Geoscience Australia and the Australian Bureau of Agricultural and Resource Economics to undertake the assessment. The assessment will: 1) Provide a comprehensive and integrated compilation and assessment of energy resources within Australia's economic zones to inform future industry investment analysis and decision making and government policy development. This information will relate to the exploration, development and delivery of energy resources to export points and to users within the domestic energy market. 2) Incorporate spatial, statistical, explanatory and, where appropriate, interpretive assessments (past, present and projected) covering: a) energy resources, including conventional oil, gas (natural and coal seam methane), coal and uranium resources; renewable resources (wind, solar, hydro and biomass); emerging resources, including geothermal, and non-conventional resources requiring further development (oil shale, tight gas sands, hydrate resources, deep coals (underground gasification), marine energy (renewable wave and tidal power) and thorium b) economic information from exploration, development, production, to use (export and domestic) c) infrastructure, from exploration, development and delivery to market of energy. 3) Incorporate (where available) related general information, including: a) human professional, technical and related resources of the energy resources sector b) social information (from the Australian Bureau of Statistics). 4) Deliver: a) a common lexicon of energy resources and economic definitions b) a comprehensive outline (content and sources) of the full assessment by June 2009, including initial analyses to inform the Energy Green Paper; the assessment, and in particular the resources component, is to be linked to existing resource information systems and internet-based mapping systems c) a report on future information requirements to support Australian energy resources
Pre- and Post-Depressive Detection using Deep Learning and Textual-based Features

The rise of mental disorders, specifically depression, has shown an upward trend, especially during the COVID-19 pandemic. Previous studies have suggested that it is feasible to learn the textual and behavioral features of a user to identify depression on social media. This paper highlights three new contributions, which are, firstly, to introduce Patient Health Questionnaire-9 (PHQ-9) as the survey-based method to complement the TWINT API to collect Twitter data. Secondly, it is to propose a Bidirectional Encoder Representations from Transformers (BERT)- based model, along with emoji decoding and PHQ-9-based lexicon features for predicting the likelihood that a user will exhibit depressive symptoms. The results are promising, achieving an F1 score of 0.98 on a baseline dataset and an F1 score of 0.90 on a benchmark dataset, outperforming previous researcher’s work of achieving a F1 score of 0.85 using solely textual features. Thirdly, previous researcher’s work focuses on differentiating between depressed and non -depressed users only, while this paper further separates the users in the depressive class into before (pre-) and after (post-) self-reported diagnosis, which can potentially be used to detect early symptoms of depression. It was found that the top TF-IDF scores of the post-depressive class contain more frequently negatively implied words compared to the pre-depressive class.
Peer-led BASICS intervention to reduce alcohol consumption and alcohol-related consequences among university students: a randomized controlled trial

Introduction Alcohol consumption is the main substance abused during university and is associated with physical, legal, emotional, social, and cognitive consequences. The peer-led BASICS intervention has been shown to be effective in decreasing the quantity and frequency of drinking, the estimated peak blood alcohol concentration (BAC), and the number of binge drinking episodes among this population. Objective This study evaluated the effectiveness of the peer-led BASICS intervention to reduce risky alcohol consumption among university students in the Spanish context. Materials and methods A two-arm randomized controlled trial in a university in northern Spain including 308 first- and second-year university students recruited between October 2022 to March 2023. The intervention was a 30-min in-person peer-led motivational interview. Participants were assessed at baseline and 1-month postintervention. The primary outcome was the quantity and frequency of alcohol consumption during a typical week. The intervention effect was verified using a mixed factorial ANOVA model. Results Compared with students in the control group, students who received the intervention reduced the number of drinks per week by 5.7 (95% CI 5.54, 5.86); the number of drinks consumed in a typical weekend by 5.2 (95% CI 5.07, 5.33); the number of drinks consumed on the occasion of greatest consumption by 4.9 (95% CI 4.78, 5.02); the number of binge drinking episodes by 1.4 (95% CI 1.37, 1.43); the peak BAC on a typical week and on the occasion of greatest consumption decreased by 0.06 (95% CI 0.058, 0.062) and 0.09 (95% CI 0.088, 0.092); the number of alcohol-related consequences by 5.8 (95% CI 5.67, 5.93); and the motivation to change their alcohol use increased by −0.8 (95% CI −0.85, −0.75). Conclusion The peer-led BASICS intervention is effective in changing alcohol consumption and its related consequences among Spanish university students in the short term. The action of nursing students as counselors positively impacted drinking patterns among their peers. Clinical trial registration https://clinicaltrials.gov/study/NCT05639374? intr=Effectiveness%20of%20a%20Peer-led%20Program%20to%20Prevent%20Alcohol%20Consumption&rank=1&page=1&limit=10, identifier: NCT05639374.
Enantiornithine bird remains from the Late Cretaceous of Hungary

The recently documented vertebrate fauna from the Santonian Csehbanya Formation of Iharkut, (Bakony Mts, Hungary) provides the first occurrence of the extinct avian group Enantiornithes Walker, 1981 in the Upper Cretaceous of Central Europe. A nearly complete left femur and a complete right tarsometatarsus are referred here to Enantiornithes indet. , and a distal fragment of a subadult left femur and a metatarsus III described here as Aves indet. , represent the earliest known avian fossil record from Hungary. The isolated two femora and the fragmentary metatarsus III indicate the presence of very small terrestrial birds in the Santonian of Europe. The well-preserved femur documents that some members of the Hun- garian enantiornithines retained the small size of their Early Cretaceous ancestors. The large enantiornithine tarsometatarsus supports the existence of a larger enantiornithine bird in the area, which may have been adapted to aquatic or semi-aquatic habitats.
The study of scouring and silting evolution of radiative sand ridge filed of the South Yellow Sea in support of DEM

2 pieces of charts of radiative sand ridge filed of the South Yellow Sea from 1968 to 1979 and 1 piece of chart of Xiyang tidal channel from 1979 to 2006 are digitized and the digital elevation model (DEM) in different periods are established with Kringing gridding method by using the software of Mapinfo and Surfer. The calculation of the volume of scouring and silting shows that: the scouring and silting evolution of radiative sand ridge filed of the South Yellow Sea is in the instance of homeostasis. The volume of scouring being 8.98×109 m3, and the volume of silting being 11.38×109 m3. The height of silting of the total area being 13 cm , and the mean volume of annual silting being 1cm/a. It is showed that Coastwise and northeast of the radiative sand ridge filed being silting, and the variation of the hinge of radiative sand ridge is frequent, and the most part of the outside sea is stable. ② It is concluded that the Xiyang tidal channel was characterized by scouring from 1968 to 1979. The height of scouring being 1.05 cm, and the mean volume of annual scouring being 8.0 cm/a . It is still characterized by scouring from 1979 to 2006. The height of scouring being 1.59 cm , and the mean volume of annual scouring being 5.9 cm/a.
The effect of Liming Acid soils on the yield and composition of Groundnut crop

A pot oulture experiment was laid out with the acid soil of Nanjanad, Nilgiris district to determine the effect of lime on the yield and composition of groundnut. The growth and yield of groundnut haulms, pods and kernels were found to be increased by the application of lime alone at 7000 lb. per acre and in combination with superphosphate at 60 lb. P.Os per acre. Both the calcium and phosphorus content of the crop were also increased by the application of lime and superphosphate. Tho CaO/P-Os ratio in the crop increases as the crop approaches maturity and the ratio in the groundnut kernel is very low as compared to groundnut haulms and shells.
Using Context of Local Environment Maps to Develop Lesson Plan which Foster Mathematical Literacy

Mathematical litreracy is defined as individual capacity to reason mathematically, to formulate, to employ, and to interpret mathematics, and to solve problems in the various real-life contexts. These skills are important for students but PISA – an OECD program to assess these skills – reported that the Indonesian students’ performance in mathematical literacy remains low for decades mostly due to instructional factor. It also happened in SMP N 2 Cimerak – a junior high school in Pangandaran, Indonesia, that the students still need a lot of improvement in mathematical literacy skills and their teachers also needs to develop capacity to teach the skills. This research aims to develop a valid and practical lesson plans which could be used to foster mathematical literacy. The lesson plans also include powerpoint presentation slides, students’ worksheet, teaching materials, and assessment instrument. It was a modified version of R&D introduced by Plomp which consist of stages: initial investigation, design, construction, evaluation, and final product. In the evaluation stage, we involved four experts to validate the lesson plans and 26 junior high school students to test the lesson plans, and revised them accordingly. The results suggest that the lesson plans are valid with the score of 4.46 (lesson plan), 3.96 (PPT slides), 4.38 (worksheet), 4.00 (teaching materials), dan 4.39 (assessment). The validity could be explained from the accommodation of mathematical literacy domains such as contexts (job and society, local environment maps), content (change and relationship, Cartesian coordinate), process (manifested in the problem-based learning)