Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling environmental and socio-economic trade-offs associated with land-sparing and land-sharing approaches to oil palm expansion

Summary The effectiveness of land-sharing and land-sparing approaches has been widely debated. Yet, few studies quantify the environmental and socio-economic outcomes of these approaches within a real-world landscape. Indonesia's plans to increase its palm oil production present an opportunity to investigate the potential environmental and socio-economic implications of the land-sharing and sparing approaches. We developed a computer model to simulate the expansion of oil palm agriculture in Sumatra, Indonesia, under four different scenarios distinguishable by the dominance of scheme smallholders or industrial estates: business-as-usual, BAU (25 : 75, scheme smallholders:industrial estates); high-yielding industry dominated, ESTATE (10 : 90); low-yielding smallholder dominated, SMALLHOLDER (40 : 60), high-yielding smallholder dominated, HYBRID (40 : 60; but with improved smallholder yields). Our results reveal several trade-offs associated with varying the proportion of scheme smallholders and productivity of oil palm plantations. The ESTATE scenario (reflecting land-sparing) resulted in lowest environmental costs in terms of forest conversion, greenhouse gas emissions, biodiversity losses and nitrogen fertilizer usage. Additionally, infrastructural development and tax revenues were highest under the land-sparing approach, though fewer jobs were created. The SMALLHOLDER scenario (indicating land-sharing) resulted in highest environmental costs in terms of forest conversion, carbon dioxide emissions and biodiversity losses but involved more households in oil palm agriculture and thus created more employment opportunities. The HYBRID scenario ranked second best in terms of both minimizing forest loss and job creation. However, the drawbacks of this approach included high nitrogen fertilizer consumption, lower infrastructural development and lower tax revenues. Synthesis and applications. From an environmental perspective, it is far more important to implement spatial restrictions on oil palm expansion over forests since increasing the productivity of smallholdings and industrial estates among the four scenarios examined show minimal differences to biodiversity loss and greenhouse gas emissions. The hybrid approach shows that increasing the proportion of scheme smallholders need not come at a great environmental cost for achieving Indonesia's palm oil production target. From a policy perspective, this hybrid approach requires a change in legislation to increase the minimum land area an industrial estate owner must allocate to scheme smallholders (40%), as well as increased support to improve productivity in oil palm smallholdings.
Targeting Mononuclear Phagocyte Receptors in Cancer Immunotherapy: New Perspectives of the Triggering Receptor Expressed on Myeloid Cells (TREM-1)

Inflammatory cells are major players in the onset of cancer. The degree of inflammation and type of inflammatory cells in the tumor microenvironment (TME) are responsible for tilting the balance between tumor progression and regression. Cancer-related inflammation has also been shown to influence the efficacy of conventional therapy. Mononuclear phagocytes (MPs) represent a major component of the inflammatory circuit that promotes tumor progression. Despite their potential to activate immunosurveillance and exert anti-tumor responses, MPs are subverted by the tumor to support its growth, immune evasion, and spread. MP responses in the TME are dictated by a network of stimuli integrated through the cross-talk between activatory and inhibitory receptors. Alterations in receptor expression/signaling can create excessive inflammation and, when chronic, promote tumorigenesis. Research advances have led to the development of new therapeutic strategies aimed at receptor targeting to induce a tumor-infiltrating MP switch from a cancer-supportive toward an anti-tumor phenotype, demonstrating efficacy in different human cancers. This review provides an overview of the role of MP receptors in inflammation-mediated carcinogenesis and discusses the most recent updates regarding their targeting for immunotherapeutic purposes. We focus in particular on the TREM-1 receptor, a major amplifier of MP inflammatory responses, highlighting its relevance in the development and progression of several types of inflammation-associated malignancies and the promises of its inhibition for cancer immunotherapy.
Child Growth Curves in High-Altitude Ladakh: Results from a Cohort Study

High prevalence of child underweight and stunting in high-altitude areas has often been reported. However, most previous studies on this topic were cross-sectional. Another critical concern is that using the World Health Organization (WHO) Child Growth Standards to evaluate child growth in high-altitude areas may lead to overestimations of underweight and stunting. Our study aimed to evaluate the long-term growth pattern of children (3 to 18 years) above the altitude of 3500 m in Ladakh, India. The participants’ body weight (BW), body height (BH), and body mass index (BMI) were measured annually according to the WHO Child Growth Standards for children under 5 years old and the WHO reference data for children aged 5 to 19 years. The generalized estimating equation (GEE) was used to estimate the means and z-scores of BW, BH, and BMI at different ages. A total of 401 children were enrolled from 2012 to 2018. Their mean z-scores of BW, BH, and BMI were −1.47, −1.44, and −0.85 in 2012 and increased to −0.74, −0.92, and −0.63 in 2018. This population’s specific growth curve was also depicted, which generally fell below the 85th percentile of the WHO standards. This is the first cohort study about long-term child growth patterns in a high-altitude area. The detailed underlying mechanisms of our findings need future research on more representative data of high-altitude populations.
Precipitation‐drainage cycles lead to hot moments in soil carbon dioxide dynamics in a Neotropical wet forest

Soil CO2 concentrations and emissions from tropical forests are modulated seasonally by precipitation. However, subseasonal responses to meteorological events (e.g., storms, drought) are less well known. Here, we present the effects of meteorological variability on short‐term (hours to months) dynamics of soil CO2 concentrations and emissions in a Neotropical wet forest. We continuously monitored soil temperature, moisture, and CO2 for a three‐year period (2015–2017), encompassing normal conditions, floods, a dry El Niño period, and a hurricane. We used a coupled model (Hydrus‐1D) for soil water propagation, heat transfer, and diffusive gas transport to explain observed soil moisture, soil temperature, and soil CO2 concentration responses to meteorology, and we estimated soil CO2 efflux with a gradient‐flux model. Then, we predicted changes in soil CO2 concentrations and emissions under different warming climate change scenarios. Observed short‐term (hourly to daily) soil CO2 concentration responded more to precipitation than to other meteorological variables (including lower pressure during the hurricane). Observed soil CO2 failed to exhibit diel patterns (associated with diel temperature fluctuations in drier climates), except during the drier El Niño period. Climate change scenarios showed enhanced soil CO2 due to warmer conditions, while precipitation played a critical role in moderating the balance between concentrations and emissions. The scenario with increased precipitation (based on a regional model projection) led to increases of +11% in soil CO2 concentrations and +4% in soil CO2 emissions. The scenario with decreased precipitation (based on global circulation model projections) resulted in increases of +4% in soil CO2 concentrations and +18% in soil CO2 emissions, and presented more prominent hot moments in soil CO2 outgassing. These findings suggest that soil CO2 will increase under warmer climate in tropical wet forests, and precipitation patterns will define the intensity of CO2 outgassing hot moments.
Valence Encoding Signals in the Human Amygdala and the Willingness to Eat

One of the strongest drivers of food consumption is pleasure, and with a large variety of palatable food continuously available, there is rarely any necessity to eat something not tasty. The amygdala is involved in hedonic valuation, but its role in valence assignment during food choices is less understood. Given recent evidence for spatially segregated amygdala signatures encoding palatability, we applied a multivariate approach on fMRI data to extract valence-specific signal patterns during an explicit evaluation of food liking. These valence localizers were then used to identify hedonic valuation processes while the same healthy human participants (14 female, 16 male; in overnight fasted state on both scanning days) performed a willingness-to-eat task in a separate fMRI measurement. Valence-specific patterns of amygdala signaling predicted decisions on food consumption significantly. Findings could be validated using the same valence localizers to predict consumption decisions participants made on a separate set of food stimuli that had not been used for localizer identification. Control analyses revealed these findings to be restricted to a multivariate compared with a univariate approach, and to be specific for valence processing in the amygdala. Spatially distributed valuation signals of the amygdala thus appear to modulate appetitive consumption decisions, and may be useful to identify current hedonic valuation processes triggering food choices even when not explicitly instructed. SIGNIFICANCE STATEMENT The expectation of tastiness is a particularly strong driver in everyday decisions on food consumption. The amygdala is important for hedonic valuation processes and involved in valence-related behavior, but the relationship between both processes is less understood. Here, we show that hedonic values of food are represented in spatially distributed activation patterns in the amygdala. The engagement of these patterns during food choices modulates consumption decisions. Findings are stable in a separate stimulus set. These results suggest that valence-specific amygdala signals are integrated into the formation of food choices.
Integrated spatial fire and forest management planning

Forest management planners usually treat potential fire loss estimates as exogenous parameters in their timber production planning processes. When they do so, they do not account for the fact that forest access road construction, tim- ber harvesting, and silvicultural activities can alter a landscape's vegetation or fuel composition, and they ignore the possi- bility that such activities may influence future fire losses. We develop an integrated fire and forest management planning methodology that accounts for and exploits such interactions. Our methodology is based on fire occurrence, suppression, and spread models, a fire protection value model that identifies crucial stands, the harvesting of which can have a signifi- cant influence on the spread of fires across the landscape, and a spatially explicit timber harvest scheduling model. We il- lustrate its use by applying it to a forest management unit in the boreal forest region of the province of Alberta in western Canada. We found that for our study area, integrated fire - forest management planning based on our methodology could result in an 8.1% increase in net present value when compared with traditional planning in which fire loss is treated as an exogenous factor.
MOLECULAR IDENTIFICATION OF A BACTERIUM ASSOCIATED WITH GALL FORMATION IN THE MARINE RED ALGA PRIONITIS LANCEOLATA1

The polymerase chain reaction (PCR) was used to amplify eubacterial small‐subunit (16S) ribosomal DNA (rDNA) genes from galls of the marine red alga Prionitis lanceolata Harvey (Gigartinales). These tumors consist of hypertrophied algal cells containing large numbers of intercellular bacteria that remain uncultivable. PCR‐amplified 16S rDNAs from surface‐sterilized gall tissue plugs were cloned, sequenced, and analyzed by alignment to available small‐subunit rRNA sequences (University of Illinois Ribosomal Database Project). Variable regions were identified and used to construct a fluorescently labeled, species‐specific oligodeoxynucleotide probe for whole cell in situ hybridization to the gall symbiont. Probe 949 (PLANC.949) localized the P. lanceolata bacterial symbiont in preparations from mature gall tissue. This probe did not hybridize to the rDNA of closely related bacteria included as controls in the same hybridization reactions, In situ hybridization revealed the presence of the same bacterium in association with P. lanceolata gall formation from three central California localities. Distance and parsimony analyses suggest that this organism is a member of the Proteobacteria (alpha subdivision; Rhodobacter group) and is most closely related to Roseobacter denitrificans.
Exploring the Effects of Various Polymeric Backbones on the Performance of a Hydroxyaromatic 1,2,3-Triazole Anion Sensor

Polymeric chemosensors are vital sensing tools because of higher sensitivity compared to their monomeric counterparts and tunable mechanical properties. This study focuses on the incorporation of a hydroxyaromatic 1,2,3-triazole sensor, 2-(4-phenyl 1H-1,2,3-triazol-1-yl)phenol (PTP), into polymers. By itself, the triazole has a selective, fluorometric response to the fluoride, acetate, and dihydrogen phosphate anions, and is most responsive to fluoride. Current investigations probe the suitability of various polymeric backbones for the retention and enhancement of the triazole’s sensing capabilities. Backbones derived from acrylic acid, methyl methacrylate, divinylbenzene, and styrene were explored. UV-illumination, Nuclear Magnetic Resonance (NMR) titration, and ultraviolet-visible (UV-Vis) absorption and fluorescence spectroscopy studies are used to investigate the performance of newly synthesized polymers and the derivatives of PTP that serve as the polymers’ precursors. Among the polymers investigated, copolymers with styrene proved best; these systems retained the sensing capabilities and were amenable to tuning for sensitivity.
Fragmentation of Saturated Hydrocarbons Upon Atmospheric Pressure Chemical Ionization is Caused by Proton Transfer Reactions.

Chemical characterization of complex mixtures of large saturated hydrocarbons is critically important for numerous fields, including petroleomics and renewable transportation fuels, but difficult to achieve. Atmospheric pressure chemical ionization (APCI) mass spectrometry has shown some promise in analysis of saturated hydrocarbons. However, APCI causes extensive fragmentation to saturated hydrocarbons, which impedes its effectiveness. To prevent this fragmentation, its causes were examined via gas-phase ion-molecule reactions in vacuum in a linear quadrupole ion trap mass spectrometer. The results demonstrate that the mechanism proposed previously for ionization of saturated hydrocarbons upon APCI, hydride abstraction by carbocation reagent ions, is not correct. Instead, the fragmentation is caused by ionization of saturated hydrocarbons via exothermic proton transfer reactions involving highly acidic, protonated atmospheric molecules, such as nitrogen and water. Accordingly, the extent of fragmentation was found to correlate with the proton affinities of the atmospheric molecules studied. Remarkably, controlled experiments involving isolated atmospheric ions and neat saturated hydrocarbons in vacuum yielded almost identical mass spectra as APCI involving atmospheric pressure conditions, presence of many different chemicals, and an electrical discharge. In order to prevent or reduce the extent of fragmentation of saturated hydrocarbons upon APCI, and therefore enable accurate mass spectrometric characterization of complex mixtures of saturated hydrocarbons, the ion source should be purged of air to remove nitrogen and water and fill it with an inert gas with a substantially lower proton affinity.
Lessons Learned From a Single-Surgeon Experience of More Than 1700 Parathyroidectomies

Objective To define critical elements that contribute to successful parathyroidectomy based on a high-volume single-surgeon experience and explore learning curve characteristics. Study Design Systematic analysis of prospectively maintained quality assurance database. Setting Academic tertiary care endocrine surgery practice. Subjects and Methods In total, 4737 consecutive patients who underwent thyroid or parathyroid surgery from 2004 to 2020 were identified. Demographic data acquisition was undertaken on a subset of these patients who had initial surgery for primary hyperparathyroidism during the academic years 2005 to 2018. Patients with renal or syndromic hyperparathyroidism and those undergoing reoperative surgery were excluded. Results From 1710 patients who underwent parathyroid surgery, 1082 met inclusion criteria in order to focus on a homogeneous data set. These patients had a mean age of 60.1 ± 12.5 years and 76.4% were female. The overall cure rate was 98.3%, reflecting a success rate that increased from 95.5% during the first 200 cases to 99.7% over the final 300 cases. The complication rate was 1.7%. Over 2 decades, the patient phenotype evolved toward milder disease and smaller adenomas. A learning curve of 200 cases was required to become a proficient parathyroid surgeon; to achieve exceptional results required several hundred additional cases. Parathyroid surgery represents a higher proportion of an endocrine surgery practice than previously (54.0% in 2019 compared with 25.5% in 2004). Conclusion A focused practice dedicated to endocrine surgery yields surgical volumes exceeding 500 cases annually. There has been a steady shift toward parathyroid surgery. A lengthy learning curve can be shortened by pursuit of several specific strategies that are outlined in detail.
Response of Arabidopsis Clones to Toxic Compounds Released by Various Rhizoctonia Species

Response of 3 Arabidopsis clones to 41 strains of eight Rhizoctonia species was studied in model experiments. The seed germination was decelerated in most of the cases, although the inhibitory effect varied within large limits. The pre-emergence damping off and root neck rot leading to damping off were the most frequent symptoms of disease syndrome caused by toxic metabolites. The clone transformed with cDNA clone overexpressing gstf4 gene exhibited significantly improved tolerance as compared to parental one, meanwhile the sensitivity of Dmannose pyrophosphorylase/mannose-1-pyrophosphatase deficient clone dramatically increased. Strains of R. solani of AG-2, AG-4 and AG-7 and Athelia rolfsii produced the most toxic metabolites, however, no strict relationships were revealed between taxonomic position of Rhizoctonia strains and toxicity of their metabolites.
Seasonal partitioning of evaporation between trees and understorey in a widely spaced Pinus radiata stand

Tree transpiration, E t , and understorey evaporation, E u , were measured hourly on 2-3 fine days during 12 periods throughout a year in a Pinus radiata plantation. There were 450 stems ha −1 and 60% of the herbaceous understorey vegetation and forest floor was covered by dead stems, branches and foliage from earlier thinning and pruning operations. Annual rainfall was 1154 mm and the trees and understorey vegetation were supplied adequately with water throughout the year. When stomatal conductance, g s , was normalized to a maximum value, g max , for each shoot, 87% of the variability was attributable to air saturation deficit above the forest canopy, D, and incident quantum flux density, Q
The Influences of Moisture on the Mechanical, Morphological and Thermogravimetric Properties of Mineral Wool Made from Basalt Glass Fibers

Mineral wool made from basalt fibers is frequently used as an insulating material in construction systems. In this study, both unused mineral wool and wool obtained from the softened roofing area were comprehensively analyzed in a laboratory using different characterization techniques. Firstly, the initial water content and compressive strength at 10% deformation were determined. Secondly, microstructure and surface chemical composition were analyzed by scanning electron microscopy (SEM) equipped with energy dispersive X-ray spectroscopy (EDX). To study heterogeneities near the fiber surface and to examine cross-sectional composition, a scanning transmission electron microscope (STEM) was used. Finally, to verify possible reasons for resin degradation, thermogravimetric analysis and differential scanning colometry (TGA-DSC) were simultaneously carried out. The results show that natural aging under high humidity and thermal fluctuations greatly affected the surface morphology and chemical composition of the fibrous composite. Phenol-formaldehyde and other hydrophobic compounds that protect fibers against moisture and give compressive resistance were found to be degraded.
Investigating the Effect of a Structured Discharge Training Program on Patient Outcomes Following Gynecologic Oncology Surgery

This study aimed to investigate the effect of a discharge training program structured according to the Roy adaptation model (RAM) on patient outcomes (quality of life, coping-adaptation, self-esteem) following gynecologic oncology surgery. This nonrandomized intervention studies consisted of two stages. In the first stage, patients were interviewed, patient needs after discharges were determined. Interview data were analyzed, and RAM-based training booklet was prepared. This booklet was prepared in line with a number of themes. In the second stage, the study was conducted with a sample of 36 control and 36 intervention patients, who were included in the discharge training program. Data was collected preoperatively, at 9th and 13th weeks after discharge. The mean quality of life and coping/adaptation scores of the intervention group at 13th weeks were significantly higher than those of the control group, however, no significant difference was found between the groups in terms of mean self-esteem scores.
Urgency and uncertainty: covid-19, face masks, and evidence informed policy

As the covid-19 crisis deepens, Greenhalgh and colleagues say that policy makers should encourage the public to wear face masks.1 Given the urgency of the situation, they argue that any downsides to such a move would be heavily outweighed by the benefits. We think that the potential negative unintended consequences of a policy shift deserve more consideration. First, the technical challenges in mass mask adoption should not be underestimated. Even healthcare workers can struggle with …