Miracle-dz/UniFAR-FTUs huggingface dataset:
Radio Propagation Digital Twin Aided Multi-Point Transmission With In-Network Dynamic On-Off Switching

GPUs and programmable data planes have gone through an enormous evolution in the past years. GPUs can be used for modeling the real-world environment accurately, while programmable data planes can monitor the network in real-time and implement novel packet processing and decision logic. In this paper, we investigate how these two distant technologies can be combined to implement efficient coordinated multi-point (CoMP) transmission in an indoor environment. The proposed system implements the concept of dynamic on-off switching (DOOS) among various radio transmitters, relying on two information sources: 1) radio propagation digital twin based on real-time simulations of radio channels in the accurate 3D digital representation of the real industrial environment and 2) traffic load collected by the data plane for each transmitter. The proposed DOOS method implemented as a data plane algorithm dynamically selects a set of radio transmitters for each receiver by mixing information provided by the digital twin and the in-network traffic load measurements. The proposed method has low computational complexity and reduces the number of actively used radio transmitters. The proof-of-concept implementation of the proposed system has been validated in simulations as well as with measurements. The method achieves 69% energy saving for the radio compared to the default CoMP transmission and reception.
Clustering of Cities Based on Their Smart Performances: A Comparative Approach of Fuzzy C-Means, K-Means, and K-Medoids

Smart City is recognized as a potential approach to address serious urban issues such as traffic, pollution, energy use, and waste management. Therefore, it is vital to evaluate how smart cities are in order to put these methods into practice. To offer advice on these matters, numerous reports are created, and one of which is Smart City Index (SCI). The Institute for Management Development (IMD) and the Singapore University of Technology and Design collaborate on SCI every year (SUTD). The report evaluates how locals view the buildings and technological applications that are available in their towns. Although the study offers a thorough examination of the cities for evaluation, the city clusters should be more sensitive and not be created using strict clustering techniques. In order to address this problem, the clustering algorithms namely K-Medoids, Fuzzy C-Means, and K-Means, which outperform hard clustering approaches in terms of robustness to vagueness and knowledge retention, are used. The main goal of this study is to categorize cities using a scientific manner (clustering algorithms) based on SCI data and to present how the chosen approaches work for dealing with the associated problems. The primary innovation of the present study is the use of clustering techniques in reports where the indexes are used. The results indicate that grouping the cities on the basis of their smart indicators would not be as effective as using the three clustering techniques that are suggested in this paper. These results add to the analysis of the dynamic capacities of smart cities and highlight the sustainability of these tactics.
Self compassion and hardiness in orphane teens

This research aimed to examine self-compassion’s role as a predictor of hardiness in orphan teens. This research was population study involving of 32 teens from “X” Orphanage in Surakarta, Central Java as participants, consisted of 8 girls and 24 boys. Data was collected by using Self-compassion Scale (Reliability 0.860) and Hardiness Scale (Reliability = 0.743). Data was analysed by using Simple Linear Regression Analyses. The result showed that rxy=0.554 (p<0.05) meaning that there was a significant correlation between self-compassion and hardiness in orphan teens. Self-compassion affects hardiness of orphan teens by the percentage of 30.7%.
Vascular epiphytes in Taiwan and their potential response to climate change

We present the first checklist of vascular epiphytes in Taiwan, based on herbarium specimens, literature records and field observations. Epiphyte phytogeography was analyzed using Takhtajan’s modified division in floristic regions. We ascertain the presence of 336 species of vascular epiphytes (24 families, 105 genera) in Taiwan. Pteridophytes contribute most species (171 species), followed by orchids (120 species). Epiphytes contribute eight percent to Taiwanese floristic diversity and epiphyte endemism is near 21.3%. The extensive mountain system is probably the most effective driver for epiphyte diversification and endemicity in Taiwan. Phytogeographically, Taiwanese epiphytes exhibit equal affinity to the Malesian region, southern China and Indo-China, and Eastern Asiatic regions. However, some species have a disjunctive distribution between Taiwan and SW China and/ or E Himalaya, presumably related to low habitat similarity with adjacent China and/or the legacy of Late Quaternary climate change. Vascular epiphyte distribution patterns corroborate the phytogeographical separation of the island of Lanyu from the main island of Taiwan along Kanto’s Neo-Wallace Line.
The composition and function of the gut microbiota of Francois’ langurs (Trachypithecus francoisi) depend on the environment and diet

The microbiota is essential for the extraction of energy and nutrition from plant-based diets and may have facilitated primate adaptation to new dietary niches in response to rapid environmental shifts. In this study, metagenomic sequencing technology was used to analyze the compositional structure and functional differences of the gut microbial community of Francois’ langurs (Trachypithecus francoisi) under different environmental and dietary conditions. The results showed that in terms of the composition of the gut microbial community, there were significant differences among the gut microbiota of Francois’ langurs (anthropogenic disturbed populations, wild populations, and captive populations) under different environmental and dietary conditions. The microbial communities with the highest abundance in Francois’ langurs were Firmicutes and Bacteroidetes. Firmicutes was the most abundant phylum in anthropogenic disturbed Francois’ langurs and the least abundant in captive Francois’ langurs. The abundance of Bacteroidetes was highest in captive Francois’ langurs. In the analysis and comparison of alpha diversity, the diversity of the gut microbiota of Francois’ langurs affected by anthropogenic disturbance was the highest. The significant differences in gut microbiota between Francois’ langurs in different environments and different diets were further supported by principal coordinate analysis (PCoA), with the disturbance group having a gut microbiota more similar to the wild group. Kyoto Encyclopedia of Genes and Genomes (KEGG) functional annotation analysis indicated a high abundance of functional genes involved in carbohydrate metabolism, amino acid metabolism, replication and repair, cofactor and vitamin metabolism, and other amino acid metabolism pathways. Additionally, the functional genes involved in carbohydrate metabolism pathways were significantly enriched in the gut microbial community of Francois’ langurs that were anthropogenic disturbed and captive. The gut microbiota of the Francois’ langurs exhibited potential plasticity for dietary flexibility, and long-term food availability in captive populations leads to changes in gut microbiota composition and function. This study explored the composition and function of the gut microbiota of Francois’ langurs and provided a scientific basis for understanding the physiological and health status of Francois’ langurs, effectively protecting the population of wild Francois’ langurs and reintroducing captive Francois’ langurs into the wild.
Rates and kinematics of active shortening along the eastern Qilian Shan, China, inferred from deformed fluvial terraces

In the eastern Qilian Shan, a flight of fluvial terraces developed along the Jinta River valley are deformed across the Nanying anticline. Four individual fluvial terraces are preserved at different elevations above the river, and higher terrace treads are draped by systematically thicker aeolian loess. Optically stimulated luminescence dating of deposits at the base of the loess provides constraints on the timing of surface abandonment; terraces were abandoned at 69 ± 4 ka B.P. (T4), 57 ± 4 ka B.P. (T3), and between 34 ± 3 ka B.P. (T2), respectively. Differential GPS measurement of the terrace profile across the anticline allows reconstruction of subsurface fault geometry; we model terrace deformation above a listric thrust fault with a tip line at 2.2 ± 0.1 km depth and whose dip shallows systematically to 23 ± 3° at depth of 5.8 ± 1.1 km. Combining terrace ages with this model of fault geometry, we estimate a shortening rate of 0.8 ± 0.2 mm/a across the Nanying fold and a shortening rate of ~0.1 mm/a across the mountain front fault since ~70 ka B.P. This rate suggests that the frontal fault system along the eastern Qilian Shan accomplishes crustal shortening at rates of approximately 0.9 ± 0.3 mm/a during late Pleistocene time.
Penggunaan model permainan berbasis teori dienes untuk meningkatkan pemahaman konsep perkalian pada siswa kelas II SDN Dadaprejo 01 Batu / Dwi Nastiti Lestari

Kata Kunci: Model Permainan, Teori Dienes, Konsep Perkalian, Kelas II SD Penelitian ini bertujuan untuk: (1) Mendeskripsikan penggunaan model permainan berbasis teori Dienes pada materi perkalian di kelas II A SDN Dadaprejo 01 Batu; dan (2) Mendeskripsikan peningkatan pemahaman konsep perkalian setelah diterapkan model permainan berbasis teori Dienes pada siswa kelas II A SDN Dadaprejo 01 Batu. Penelitian ini dirancang dengan menggunakan Penelitian Tindakan Kelas (PTK) kolaboratif yang terdiri dari 2 siklus. Setiap siklus mellui 4 tahapan yang dikemukakan oleh Kurt Lewin antara lain (1) planning, (2) acting, (3) observasing, dan (4) refrecting. Subyek yang dikenai tindakan yaitu seluruh siswa kelas II A SDN Dadaprejo 01 Batu dengan banyak 21 siswa. Data dalam penelitin ini diambil dari hasil tes hasil observasi dan hasil catatan lapangan. Hasil penelitian dikemukakan sebgai berikut: (1) Pengguanaan model permainan berbasis teori Dienes pada materi perkalian di kelas II A SDN Dadaprejo 01 Batu menggunakan lima tahapan teori Dienes antara lain (a) tahap bermain bebas (free play); (b) tahap permainan (games); (c) tahap penelaahan kesamaan sifat (searching for communities); (d) tahap representasi (representasion); dan (e) tahap simbolisasi (symbolism); (2) Pemahaman konsep perkalian kelas II A setelah diberikan tindakan dengan penggunaan model permainan berbasis teori Dienes meningkat yang terlihat dari peningkatan presentase keberasilan siswa sebesar 33% dari pra tindakan ke tindakan siklus I, dan 28% dari siklus I ke siklus II. Saran dari peneliti ini dikemukakan sebagai berikut: (1) Pembelajaran dengan model permainan berbasis teori Dienes yan menggunakan 5 tahapan teori Dienes layak dipertimbangkan menjadi bentuk pembelajaran alternatif untuk konsep perkalian karena siswa kelas rendah sekolah dasar masih menyukai permainan; (2) Bagi guru disarankan hendaknya menggunakan model permainan berbasis teori Dienes pada materi perkalian untuk kelas II selanjutnya; (3) bagi peneliti lain yang akan menerapkan model permainan berbasis teori Dienes pada materi perkalian siswa kelas II disarankan untuk: (a)Menggunakan media benda konkret pada setiap siklus; (b) Menggunakan media benda konkret bermacam-macam agar siswa merasa senang; (c) Membatasi kegiatan siswa tanpa mematikan kretivitas siswa untuk berkreasi menemukan pengetahuan baru pada setiap tahap permainan yang dilalui untuk menjaga alokasi waktu.
Characterization of Human Adenoviruses of Medical Importance: Isolation of Infectious Virus from Clinical Specimens and Molecular Typing

Human adenoviruses (HAdVs) constitute a group of ubiquitous viruses that currently comprises 51 well‐defined serotypes and more than 113 genotypes classified into seven species, HAdV‐A through HAdV‐G. The members of these species differ considerably in their genomic characteristics and also in their tropism and pathogenicity. Virus isolation in cell culture remains critical for the preservation and comprehensive characterization of viruses of biomedical interest but has been almost completely abandoned by diagnostic laboratories. Currently, the most frequently used approach for the detection of HAdV in clinical specimens is real‐time qPCR targeting a region of the hexon gene, conserved among all genotypes described to the present. In the absence of typing, the detection of an HAdV in association with disease provides limited information. Molecular typing is therefore highly desirable and required in the epidemiological investigation of HAdV‐associated disease. © 2023 Wiley Periodicals LLC.
Navigation for the MESSENGER Mission's First Mercury Encounter

The MErcury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) mission, led by principal investigator Sean C. Solomon of the Carnegie Institution of Washington, is the seventh mission in NASA’s Discovery Program. The spacecraft was launched from Cape Canaveral Air Force Station on 3 August 2004, to begin its six-and-one-half-year interplanetary cruise to arrive in orbit about Mercury beginning in March 2011. The cruise phase includes planetary gravity-assist flybys of Earth (in August 2005), Venus (in October 2006 and June 2007), and Mercury (in January and October 2008 and September 2009). This paper describes the navigation results for the period encompassing Mercury flyby 1 and focuses on orbit determination results, navigation analyses supporting statistical trajectory-correction maneuvers, and maneuver reconstruction results. Also included are discussions of optical navigation performed before the encounter, and the determination of the gravitational potential of Mercury.
Pedagogy, Politics, and Betty Dodson’s Liberating Masturbation

In the last years of her life, the late feminist sex educator Betty Dodson may never have been closer to the zeitgeist. Dodson appeared on Gwyneth Paltrow’s Netflix series The Goop Lab, was fictionalized on Broad City, and was the subject of a glowing New York Times profile. Dodson rose to prominence in the early 1970s as a sex educator who both repopularized the vibrator and facilitated group masturbation workshops. In spite of this pop-cultural embrace, there have been no sustained critical accounts of her work. In this article, I read Dodson’s 1974 pamphlet Liberating Masturbation across the twin contexts of second-wave feminism and her contemporary renaissance. Her idiosyncratic, bawdy theory and practice complicates a history of second-wave feminist politics, and she remains a rich, productive figure to think with. Melding sexology, aesthetics, technology, and an unabashed libidinal energy, Dodson advocates for collective, erotic pedagogy as a source of knowledge production. In doing so, her work carves out a space for pleasure and joy in the messiness of lived experience.
Generation and Validation of Digital Elevation Model using ERS - SAR Interferometry Remote Sensing Data

Topographic information of landmass is very important in many scientific disciplines and military and industrial sectors. Radar Interferometry with Synthetic Aperture Radar (SAR) is considered to be one of the most modern techniques for acquiring topographic information. A study was conducted using ERS-1/ 2 SAR tandem data to generate the Digital Elevation Model (DEM) of a part of Sind river basin, Madhya Pradesh. The performance of mapping procedure was ascertained by checking the altitude of obvious features with conventional topographic maps. When the checkpoints were taken from Survey of India (SOI) toposheet, a root mean square error (RMSE) of 2.7m was obtained. The elevation accuracy was also found to be associated with the land cover type of the area.
Fusing and disaggregating models, data and analysis tools for a dynamic science–society interface

Abstract Society requires rapid, most-probable predictions for specific and/or multifaceted questions related to environmental and geological science. In principle, models that encapsulate disciplinary knowledge are useful tools for making predictions and testing theory, but academic rewards favour disciplinary specialism and a proliferation of often insufficiently tested models. Decision makers have to assess the quality and robustness of predictions for complex environmental issues, and may prefer a model that performs accurately in a case study to a more parsimonious and generalizable model. Predictive ecosystem models tend to grow, as more processes are considered, even when a simpler model may be more appropriate and give results that are easier to interpret within a policy-relevant timeframe. Model fusion provides a practical way to combine knowledge from different disciplines, but can accelerate model growth. How then can we facilitate the evolution of useful predictive models? Coherent design is essential. When combining models it is often necessary to resolve overlapping scope, so tools need to allow for the disaggregation of model implementations as well as their fusion. Modelling software and integration frameworks can help resolve technical constraints, but to make models useful and used it is essential to involve stakeholders in their design and interpretation.
A trophic model of the coastal fisheries ecosystem off the west coast of Sabah and Sarawak, Malaysia

A mass-balance steady-state trophic model of the coastal fisheries ecosystem off the West Coasts of Sabah and Sarawak, Malaysia (10 - 60 m depth) was constructed using the Ecopath software. The ecosystem models were partitioned into 29 ecological/trophic groups. The input values (e.g. biomasses) for selected groups were obtained from the research (trawl) surveys conducted in the area in 1972. The estimated mean trophic level of the fisheries catch for both models is about 3.3. The biomass values obtained from Ecopath when compared with the estimates of the fishery catch indicate a low level of exploitation of coastal fisheries resources in 1972.
Opioid Prescribing Patterns After Colorectal Resections in the United States of America

Background The opioid epidemic is a significant source of morbidity and mortality in the United States of America. Minimizing opioid prescribing after operations has become an important component of post-operative care pathways. We hypothesized that opioid prescribing has decreased over time after colorectal resections. Methods This is a retrospective study from 2012 to 2019 using the Optum Clinformatics database (Eden Prairie, MN). We included patients aged 18 years or older who had an elective colorectal resection. Our primary outcome was the rate of opioid prescription at post-operative discharge. Secondary outcomes included the rates of gabapentinoid (GABA) prescribing post-operatively. Results Of 17,900 patients, the most common procedure was sigmoid colectomy (35%). Most procedures were open (N=10,626, 59.4%). The most common indication was benign disease (N=12,439, 69.5%). Post-operative opioid prescribing decreased from 64.4% in 2012 to 46.7% in 2019. In the adjusted model, the odds of post-operative opioid prescription were 37% lower in 2019 than in 2012 (OR, 0.63; 95% CI, 0.56-0.72; p<0.0001). At 60 days and one year post surgery, opioid prescribing decreased from 11.6% and 5.9% in 2012 to 7.2% and 5.2% in 2019 (p<0.0001). At 60 days, gabapentinoid prescribing increased from 2.3% in 2012 to 4.0% in 2019 (p=0.0016). Conclusions Our data show that opioid prescribing is common after colorectal surgery with an overall post-operative prescription rate of 55.8%. The modification of post-operative pathways to include guidance on opioid prescribing and non-opioid alternatives may curb opioid prescribing, decrease the number of new persistent opioid users, and decrease the number of opioids available for diversion.
Modelling the effects of changing climate and nitrogen deposition on nitrate dynamics in a Scottish mountain catchment

The effect of changing climate and N deposition on montane ecosystems is a topic of considerable importance. Mountains are vulnerable environments and their ecosystems are often in a delicate balance. An application of the INCA-N model is presented to simulate current-day nitrate dynamics in a Scottish mountain lake and to project the possible future effects of climate change and reductions in N deposition on lake nitrate concentration ([NO3-]). The INCA-N model is calibrated using data from 1996–2006 in an attempt to determine the controls on [NO3-] in Lochnagar and process sensitivities to changing climate. Predictions were sensitive to hydrologic, vegetation-related and in-soil processes. Over the longer term, surface water [NO3-] in this mountain ecosystem is expected to increase. From 2020 to 2100, when N deposition is modelled at a constant rate, warmer temperature exerts a stronger effect on N losses to the lake surface than the N deposition. While the effects of a warming climate are projected to lead to increased surface water [NO3-], concentrations are not projected to either return to, or exceed, historical levels.
A Muti-Substrate Flavonol O-glucosyltransferases from Safflower

To explore the complete biosynthesis process of flavonoid glycosides in safflower, specifically the key glycosyltransferase that might be involved, as well as to develop an efficient biocatalyst to synthesize flavonoid glycosides, a glycosyltransferase CtUGT4, with flavonoid-O-glycosyltransferase activity, was identified in safflower. The fusion protein of CtUGT4 was heterologously expressed in Escherichia coli, and the target protein was purified. The recombinant protein can catalyze quercetin to form quercetin-7-O-glucoside, and kaempferol to form kaempferol-3-O in vitro, and a series of flavones, flavonols, dihydroflavones, chalcones, and chalcone glycosides were used as substrates to generate new products. CtUGT4 was expressed in the tobacco transient expression system, and the enzyme activity results showed that it could catalyze kaempferol to kaempferol-3-O-glucoside, and quercetin to quercetin-3-O-glucoside. After overexpressing CtUGT4 in safflower, the content of quercetin-3-O-rutinoside in the safflower florets increased significantly, and the content of quercetin-3-O-glucoside also tended to increase, which preliminarily confirmed the function of CtUGT4 flavonoid-O-glycosyltransferase. This work demonstrated the flavonoid-O-glycosyltransferase function of safflower CtUGT4 and showed differences in the affinity for different flavonoid substrates and the regioselectivity of catalytic sites in safflower, both in vivo and in vitro, providing clues for further research regarding the function of UGT genes, as well as new ideas for the cultivation engineering of the directional improvement of effective metabolites in safflower.
Multifrequency Small-Signal Model for Single-Phase Grid-Tied Inverters Considering the Effect of PWM

Recent studies have shown that harmonic instability may occur at frequencies above the Nyquist frequency. To study this issue, the sidebands originating from modulation must be considered in the modeling. Some traditional models ignore the effect of pulsewidth modulation (PWM), so they cannot predict high-frequency instability (HFI). In this study, a multifrequency small-signal model for single-phase grid-tied inverters is built, which considers the behavior of PWM. Based on the established model, the dominant sideband components of the single-phase inverter system are extracted, and the admittance matrix is simplified from a high-order matrix to a 5 × 5 matrix to reduce the computation burden without losing too much accuracy. Some HFI cases are conducted to compare the accuracy between the traditional model and the proposed model. The results show that the proposed model is more precise than the traditional model in predicting the HFI information of the studied system. Finally, simulation and experimental results verify the correctness of the theoretical analyses presented above.