Our Work

Ecotourism has been suggested as a tool for the conservation and management of deserts’ natural and cultural heritage. As one of the fastest growing sectors of global tourism industry, ecot…

Ecotourism has been suggested as a tool for the conservation and management of deserts’ natural and cultural heritage. As one of the fastest growing sectors of global tourism industry, ecotourism has a potential to serve as an environmentally, socioculturally and economically viable option for promoting sustainable development in the desert biome. Many factors provide opportunities to develop ecotourism in deserts, which need to be carefully considered for both nature conservation goals and local socioeconomic wellbeing. For this article, we start by contextualizing ecotourism and its research in deserts, and then describe possible attractions and constraints exhibited by deserts to develop ecotourism. We conclude with a discussion of the potential positive and negative impacts that ecotourism may derive on different desert facets.

Phylogenetic trees were derived from the Genome Taxonomy Database (GTDB, release 220)85. The fully annotated precomputed tree and the extracted actinomycete phylogeny were plotted in R with the ggtree…

Phylogenetic trees were derived from the Genome Taxonomy Database (GTDB, release 220)85. The fully annotated precomputed tree and the extracted actinomycete phylogeny were plotted in R with the ggtree package (Extended Data Fig. 4a,b) 86. Hidden Markov Models (HMMs) for SasO and RsmC were generated from orthologs of WAC40 SasO and the methyltransferase domain of Thermus thermophilus RsmC (UniProtKB Q5SKW0, amino acids 185-375), respectively. The corresponding NCBI reference sequences are: SasO (Bifidobacterium longum WP_012577213.1, Bacillus cereus WP_410259422.1, Clostridium sp. NLP14976.1, Staphylococcus sp. WP_113608439.1, Chlamydia trachomatis CRH61495.1, Bacillus sp. WP_000763262.1) and RsmC (E. coli CQR83742.1, Klebsiella pneumoniae EJK92454.1, Vibrio cholerae WP_142735227.1, Caulobacter sp. HRD46923.1, Pseudomonas aeruginosa MCR3844603.1, Thermus thermophilus WP_244344254.1, Haemophilus influenzae SPX43210.1). HMMs were queried against all of the genomes from the GTBD reference and the distributions of error values were used to define thresholds (Supplementary Fig. 15) to assign presence of rsmC or sasO genes in the genome. When a protein gene was predicted by either model, it was classified by the lowest error value. Analysis was performed using custom scripts.

La presentación aborda el papel de la Biblioteca Virtual en Salud (BVS) como modelo, estrategia, política y plataforma operacional para la gestión cooperativa de la informaci&oacu…

La presentación aborda el papel de la Biblioteca Virtual en Salud (BVS) como modelo, estrategia, política y plataforma operacional para la gestión cooperativa de la información científica y técnica en salud, destacando la importancia del trabajo en red para fortalecer el acceso, la visibilidad y la utilización del conocimiento en América Latina y el Caribe. Se presenta la BVS como una red de redes integrada por instituciones, centros cooperantes y redes nacionales y temáticas, articuladas mediante metodologías, tecnologías, infraestructura compartida y procesos de desarrollo de capacidades en gestión de la información. Se destaca la importancia de considerar los contextos locales en la aplicación de las evidencias científicas para apoyar decisiones y acciones en salud. La presentación examina los principales componentes que sostienen la cooperación en la Red BVS, incluyendo la gobernanza, la coordinación, el liderazgo, el sistema FI-Admin, la interfaz de búsqueda iAHx y las metodologías de organización y recuperación de información. Asimismo, destaca el papel del control bibliográfico y de las bases de datos nacionales y temáticas en la identificación, registro y visibilidad de la producción científica y técnica de los países de la Región.

Entanglement routing is a fundamental network-control problem in quantum networks, where end-to-end entangled pairs are established through probabilistic generation, purification, memory storage, and …

Entanglement routing is a fundamental network-control problem in quantum networks, where end-to-end entangled pairs are established through probabilistic generation, purification, memory storage, and entanglement swapping. A delivered pair is useful only if its realized fidelity meets the application-specific threshold, yet routing decisions must rely on fidelity estimates before the final outcome is known. This uncertainty creates a safety--efficiency tradeoff between admitting more requests and avoiding low-fidelity deliveries. We propose \emph{SafeER}, a safety-first learning-augmented framework for online fidelity-constrained entanglement routing under uncertain realized fidelity. SafeER considers routing and purification decisions under finite quantum memory, request-specific fidelity and latency constraints, and uncertain fidelity estimates. Its key design separates conservative fidelity screening from resource-aware candidate selection. An analytic--learned fidelity estimate combined with a safety margin determines candidate eligibility, while a learned surrogate ranks only candidates passing the screen. We establish computational hardness of a restricted fidelity-constrained routing problem, deterministic and probabilistic safety guarantees under explicit one-sided fidelity-overestimation conditions, candidate-set ranking bounds, and online complexity bounds. Extensive routing-layer simulations across traffic loads, network sizes, and fidelity uncertainty models show that SafeER achieves zero observed violations under calibrated bounded uncertainty and substantially suppresses violations under misspecified errors. SafeER improves weighted qualified goodput by approximately $3.0\times$ over greedy fidelity-aware routing while achieving competitive performance against safe non-learning methods. Controlled ablations further show that the measurable incremental benefit of learning arises primarily from fidelity screening rather than utility ranking. These results support conservative, learning-assisted admission as an approach to fidelity-constrained quantum-network routing.

Guia simples, com imagens, para quem nunca usou o Rayyan, plataforma usada na triagem de estudos em revisões da literatura. Explica, passo a passo, como ler o título e o resumo de cada e…

Guia simples, com imagens, para quem nunca usou o Rayyan, plataforma usada na triagem de estudos em revisões da literatura. Explica, passo a passo, como ler o título e o resumo de cada estudo e escolher entre Include, Maybe e Exclude, além de apresentar o glossário dos termos em inglês, o funcionamento do modo cego (Blind Mode) e as dúvidas mais comuns.

We prove an equidistribution theorem for numbers with all-nonzero decimal digits and prescribed digit sum and residue class. As a corollary, we resolve Murthy's conjecture (OEIS A077754, 2002): an int…

We prove an equidistribution theorem for numbers with all-nonzero decimal digits and prescribed digit sum and residue class. As a corollary, we resolve Murthy's conjecture (OEIS A077754, 2002): an integer n admits a multiple with at least two nonzero digits and digit sum n iff n is not in {1, 2, 5, 11} ∪ 10ℕ.The corollary is fully machine-verified in Lean 4 with mathlib (theorem A077754, zero sorry; toolchain leanprover/lean4:v4.35.0, mathlib v4.35.0). Version 1.1.0 upgrades the finite certificates to kernel-pure evaluation: lake build exits 0 with zero native_decide; #print axioms on the main theorem reports exactly [propext, Classical.choice, Quot.sound] — the whole development, including all finite certificates (witness tables witSmall/witCorner and stage coverage), is verified inside the Lean kernel.The deposit (A077754-ancillary.tar.gz + A077754-paper.pdf) includes the paper, the complete Lean formalization (A077754.lean, A077754Cert.lean, CornerTable.lean, shared digit modules), the recorded axiom reports and blind oracle audits plus independent counter-verification scripts (VERIFICATIONS/), the Palomar challenge package, the independent Python verifier A077754-ANNEXE.py re-deriving the finite certificates, the working notes, and the pinned build files (lakefile.toml, lake-manifest.json, lean-toolchain) for long-term reproducibility.

What's Changed Bump virtualenv from 21.7.13 to 21.14.13 by @dependabot[bot] in https://github.com/childmindresearch/wristpy/pull/328 Bump filelock from 3.32.6 to 4.2.1 by @dependabot[bot] in https://…

What's Changed Bump virtualenv from 21.7.13 to 21.14.13 by @dependabot[bot] in https://github.com/childmindresearch/wristpy/pull/328 Bump filelock from 3.32.6 to 4.2.1 by @dependabot[bot] in https://github.com/childmindresearch/wristpy/pull/330 Bump certifi from 2026.7.22 to 2026.10.19 by @dependabot[bot] in https://github.com/childmindresearch/wristpy/pull/329 Bump filelock from 4.2.1 to 4.2.4 by @dependabot[bot] in https://github.com/childmindresearch/wristpy/pull/331 Fix/issue 307/ning02 by @NoPenguinsLand in https://github.com/childmindresearch/wristpy/pull/327 update/test support for python 3.14-3.15 by @NoPenguinsLand in https://github.com/childmindresearch/wristpy/pull/334 New Contributors @NoPenguinsLand made their first contribution in https://github.com/childmindresearch/wristpy/pull/327 Full Changelog: https://github.com/childmindresearch/wristpy/compare/v0.2.10...v0.2.11

Data Description Volcanic Ashfall Hazard footprint for Rungwe Volcano, Tanzania. Probabilistic ash fall hazard footprints have been produced for a VEI (Volcanic Explosivity Index, Newhall & Self…

Data Description Volcanic Ashfall Hazard footprint for Rungwe Volcano, Tanzania. Probabilistic ash fall hazard footprints have been produced for a VEI (Volcanic Explosivity Index, Newhall & Self, 1982) eruption scenarios of VEI 2 (relatively small) and VEI 4 (explosive) at Rungwe Volcano. Rungwe volcano in Southern Tanzania was chosen as it is one of the better-studied volcanoes in Tanzania, with a record of at least seven explosive eruptions within the last approximately 4000 years, including VEI 4 and 5 eruptions at approximately 2000 and 4000 year before present (yrs BP), respectively (Fontijn et al., 2010; Fontijn et al., 2011). Ash fall hazard footprints were generated using TephraProb, a freely available Matlab package developed to produce probabilistic hazard assessments for tephra fallout (Biass et al., 2016). TephraProb uses the Tephra2 tephra dispersion model. Tephra2 is an open source advection-diffusion model based on the work of Suzuki (1983) that describes diffusion, transport and sedimentation of tephra (ash) particles released from an eruption column (Connor et al., 2001; Bonadonna et al., 2005).  It calculates the total mass per unit area (kg m-2) of tephra accumulation at individual grid locations by solving a simplified mass conservation equation.  The mass conservation equation takes into account the distribution of tephra mass in the eruption column and particle settling velocity, as well as horizontal diffusion within the eruption column and atmosphere after the particle has been ejected from the plume (Connor et al., 2001; Bonadonna et al., 2005; Connor & Connor, 2006).  Eruption parameters are assumed to represent average conditions over the duration of the complete eruption (Connor & Connor, 2006). TephraProb can be downloaded from here: https://github.com/e5k/TephraProb The Tephra2 source code can be downloaded from here: https://github.com/geoscience-community-codes/tephra2 Model input parameters set: total erupted mass, eruption column height, eruption duration, grain size distribution, eddy constant, diffusion coefficient, fall time threshold, particle density, integration step, plume model and wind (prevalent wind direction for Rungwe Volcano from ECMWF data (10-year window) is shown in ECMWF_10yr_wind_rose_month.jpg) and segretated into wet season (April-November) and dry season (December-March).  For full details on the modelling, please refer to Winson et al. (2019) Data Producer Attribution BGS UKRI Project Attribution The data was generated by BGS as part of the Modelling Exposure Through Earth Observation Routines (METEOR): EO-based Exposure, Nepal and Tanzania project, a £2.8m project co-funded through the UK Space Agency’s International Partnership Programme (IPP) Call 2 as part of the Global Challenges Research Fund (GCRF) from the UK Government’s Official Development Assistance (ODA) commitment. Data Format GeoTIFF Data Visualisation GIS software. Suggest using suitable colour ramp for probability exceedance for the data range 0 (low) - 1 (high) Spatial Resolution 1000m Geographic Coordinate Reference System WGS 1984 UTM Zone 36S (EPSG:32736) Referenced Open Access Academic Papers Biass, S., Bonadonna, C., Connor, L. & Connor, C. (2016) TephraProb: a Matlab package for probabilistic hazard assessments of tephra fallout. Journal of Applied Volcanology, 5, 10, 16pp. https://doi.org/10.1186/s13617-016-0050-5 Bonadonna, C., Connor, C.B., Houghton, B.F., Connor, L., Byrne, M., Laing, A. & Hincks, T.K. (2005) Probabilistic modelling of tephra dispersal: Hazard assessment of a multiphase rhyolitic eruption at Tarawera, New Zealand. Journal of Geophysical Research, 110, B03203, 21pp. https://doi.org/10.1029/2003JB002896 Connor, C.B., Hill, B.E., Winfrey, B., Franklin, N.M. & La Femina, P.C. (2001) Estimation of volcanic hazards from tephra fallout. Natural Hazards Review, 2, pp33-42. https://doi.org/10.1061/(ASCE)1527-6988(2001)2:1(33) Connor, L.J. & Connor, C.B. (2006) Inversion is the key to dispersion: Understanding eruption dynamics by inverting tephra fallout. In: Mader, H.M., Coles, S.G., Connor, C.B. & Connor, L.J. (eds.) Statistics in Volcanology. Special publications of IAVCEI, London Geological Society, pp231-242. https://doi.org/10.1144/IAVCEI001.18 Fontijn, K., Ernst, G.G., Bonadonna, C., Elburg, M.A., Mbede, E. & Jacobs, P. (2011) The~ 4-ka Rungwe Pumice (South-Western Tanzania): a wind-still Plinian eruption. Bulletin of Volcanology, 73, pp1353-1368. https://doi.org/10.1007/s00445-011-0486-8 Fontijn, K., Ernst, G.G., Elburg, M.A., Williamson, D., Abdallah, E., Kwelwa, S., Mbede, E. & Jacobs, P. (2010) Holocene explosive eruptions in the Rungwe Volcanic Province, Tanzania. Journal of Volcanology and Geothermal Research, 196, pp91-110. https://doi.org/10.1016/j.jvolgeores.2010.07.021  Newhall, C.G. & Self, S. (1982) The volcanic explosivity index (VEI): an estimate of explosive magnitude for historical volcanism. Journal of Geophysical Research, 87, pp 1231-1238 https://doi.org/10.1029/JC087iC02p01231 Suzuki, T. (1983) A theoretical model for the dispersion of tephra. In: Shimozuru, D. & Yokoyama, I. (eds.) Arc Volcanism, Physics and Tectonics. Tokyo, Terra Scientific Publishing,, 113,  pp95-113 Winson, A.E.G., Crummy, J., Mee, K., Boon, D., Ciurean, R., Dashwood, C., Garcia-Bajo, M., Sampson, C., & Silva, V. (2019) METEOR : hazard footprints for Nepal and Tanzania. Report M6.1/P. Nottingham, UK, British Geological Survey, 126pp. (OR/19/066) https://nora.nerc.ac.uk/id/eprint/534305/  Contact kmcm@bgs.ac.uk  

Maqolada umumiy o'rta ta'lim maktablarining 1-2-sinf o'quvchilarida tabiatni anglash ko'nikmalari qay darajada shakllanganligi o'rganilgan. Tadqiqot Sirdaryo, Jizzax va Buxoro viloyatlaridagi maktabla…

Maqolada umumiy o'rta ta'lim maktablarining 1-2-sinf o'quvchilarida tabiatni anglash ko'nikmalari qay darajada shakllanganligi o'rganilgan. Tadqiqot Sirdaryo, Jizzax va Buxoro viloyatlaridagi maktablarda so'rovnoma, test, suhbat va pedagogik kuzatish orqali o'tkazildi. Natijalar o'quvchilarning faqat 18,8-20,0 foizi tabiat haqidagi savollarga to'liq javob bera olishini, 57-61 foizida esa tabiatni o'rganishga barqaror qiziqish yo'qligini ko'rsatdi. Eng past ko'rsatkichlar jonsiz tabiat hodisalari va yovvoyi tabiat obyektlari bo'yicha qayd etildi. Olingan natijalar "Tabiiy fanlar" darslarini kuzatish, tajriba va amaliy faoliyatga asoslangan holda qayta tashkil etish zarurligini asoslaydi.