Central Hot Spot Research Articles

Precision Polishing of Ablator Capsules via in situ Process Monitoring and Machine Learning–Based Optimization

In inertial confinement fusion (ICF) experiments seeking output gains of unity and beyond, the quality of the ablator capsule is paramount for minimizing the hydrodynamic mix that quenches the central hot spot. Defects in the form of foreign particles or missing mass on the surface and within the wall of the capsule are primary offenders. High-density carbon capsules made for ICF experiments at the National Ignition Facility are precision polished to achieve surface smoothness on the order of a few nanometers as well as to minimize isolated defects in the form of pits. Given the critical role of this process, we are developing smart manufacturing techniques with the goal of elevating the efficiency of this process. Our approach is to use MEMS (micro-electromechanical systems)–based sensors to capture the fine vibration signals generated during the polishing process and combine them with synchronized visual feedback as needed. Beyond using these sensors for process monitoring, we use specific deep learning methods to analyze the data and extract correlations with both the process parameters and the final performance of the polishing run. Here, we describe the multiple fronts we have explored in this regard and the results we have gotten so far. This approach promises to have the potential to ultimately provide real-time feedback that can be used to ensure the progress of the run as well as a means for faster optimization.

The cingulum: a central hotspot for the battle against chronic intractable pain?

Chronic pain causes a major burden on patient's lives, in part due to its profound socioeconomic impact. Despite the development of various pharmacological approaches and (minor) invasive treatments, a subset of patients remain refractory, hence why alternative targeted neurosurgical interventions like cingulotomy and deep brain stimulation of the anterior cingulate cortex should be considered in the last resort. Despite clinical evidence supporting the potential of these treatments in the management of chronic intractable pain, physicians remain reluctant on its clinical implementation. This can be partially attributed to the lack of clear overviews summarizing existent data. Hence, this article aims to evaluate the current status of cingulotomy and deep brain stimulation of the anterior cingulate cortex in the treatment of chronic intractable pain, to provide insight in whether these neurosurgical approaches and its target should be reconsidered in the current era. In the current study, a literature searches was performed using the PubMed database. Additional articles were searched manually through reviews or references cited within the articles. After exclusion, 24 and 5 articles remained included in the analysis of cingulotomy and deep brain stimulation of the anterior cingulate cortex, respectively. Results indicate that various surgical techniques have been described for cingulotomy and deep brain stimulation of the anterior cingulate cortex. Cingulotomy is shown to be effective 51-53% and 43-64% of patients with neoplastic and non-neoplastic pain at ≤6 months follow-up, and 82% (9/11) and 76% (90/118) at ≥ 12months follow-up, respectively. With regard to deep brain stimulation of the anterior cingulate cortex, no data on neoplastic pain was reported, however, 59% (10/17) and 57% (8/14) of patients with non-neoplastic pain were considered responders at ≤ 6 months and ≥ 12months follow-up, respectively. The most reported adverse events include change in affect (>6.9%, >29/420) and confusion (>4.8%, >20/420) for cingulotomy, and infection (12.8%, 6/47), seizures (8.5%, 4/47) and decline in semantic fluency (6.4%, 3/47) for deep brain stimulation of the anterior cingulate cortex. It can be concluded that cingulotomy and deep brain stimulation of the anterior cingulate cortex are effective last resort strategies for patients with refractory non-neoplastic and neoplastic pain, especially in case of an affective emotional component. Future research should be performed on the cingulum as a neurosurgical target as it allows for further exploration of promising treatment options for chronic intractable pain.

Assessment of orchid diversity in the sacred groves of Kodagu, India’s Central Western Ghats Biodiversity Hotspot: implications for bio-cultural diversity management

Assessment of orchid diversity in the sacred groves of Kodagu, India’s Central Western Ghats Biodiversity Hotspot: implications for bio-cultural diversity management

Design and optimization of dielectric metalens with quasi-periodic arrays

Metalenses have attracted a great deal of research interests due to the property of light controllability. How to enhance the focusing effect of metalens has always been a key problem that many researchers have been working on. In this paper, we propose a novel sub-dimensional resonance-based optimization method for dielectric metalens with golden angle spiral arrays. The waveguiding effect is first applied to the initial design of the quasi-periodic metalens through the defined equivalent period. Then the genetic algorithm is improved for adjusting the sub-dimensional structure of the initial metalens. The optimization results show that the peak intensity of central hot spot increases by 32 % while keeping the full width at half maximum (FWHM) almost unchanged. At the same time, the field intensity of side lobes around the hot spot decreases, which means that a potential way for high-contrast imaging is provided.

Hybrids as mirrors of the past: genomic footprints reveal spatio-temporal dynamics and extinction risk of alpine extremophytes in the mountains of Central Asia.

Hybridization is one of the key processes shaping lineage diversification, particularly in regions that experienced strong climate oscillations. The alpine biome with its rich history of glacial-interglacial cycles and complex patterns of species distribution shifts offers an excellent system to investigate the impact of gene flow on population dynamics and speciation, important issues for evolutionary biology and biodiversity conservation. In this study, we combined genomic data (DArTseq), chloroplast markers, and morphology to examine phylogenetic relationships and the permeability of species boundaries and their evolutionary outcomes among the alpine extremophilic species of Puccinellia (Poaceae) in the Pamir Mountains, a part of the Mountains of Central Asia biodiversity hotspot. We determined the occurrence of interspecific hybrids between P. himalaica and P. pamirica, which demonstrated almost symmetric ancestry from their parental species and did not show signals of introgression. According to our integrative revision, the natural hybrids between P. himalaica and P. pamirica should be classified as Puccinellia ×vachanica (pro species). Using approximate Bayesian computation for population history inference, we uncovered that P. himalaica hybridized with P. pamirica independently in multiple localities over the Holocene. Hybrids inherited the fine-scale genetic structure from their parental species, which developed these patterns earlier, during the Late Pleistocene. Hybridization had different consequences for the involved parental lineages, likely playing an important role in a continuing decline of P. himalaica in the Pamir Mountains over the Holocene. Our results show that P. himalaica should be considered a critically endangered species in the Pamir Mountains and could also be retreating across its entire range of distribution in High Mountain Asia. Using a comparative phylogeographic framework, we revealed the risk of extinction of a cold-adapted alpine species in a global biodiversity hotspot. This study highlights that genomics could unravel diversity trends under climate change and provides valuable evidence for conservation management.

Formation of hot spots at end-on pre-compressed isochoric fuels for fast ignition

It is crucial to form a hot spot that can drive a self-heating nuclear burn propagation into the surrounding cold fuel in ignition process of laser fusion. In this paper, we discuss the formation of a hemispherical hot spot located at the edge of an end-on precompressed isochoric fuel instead of a central spherical hot spot surrounded by cold fuel in a corona plasma shell. This configuration leads to a new energy loss mechanism named hot spot collapse, which originates from mass loss of the hot spot through the interface with the vacuum. A semi-analytical model is proposed including α particle induced burning, hot spot collapse and other energy loss processes. Then a modified ignition criterion is derived. The results show that the competition between the hot spot collapse and the burn propagation is crucial in the formation of the hot spot. The formation of such a hot spot at end-on precompressed isochoric fuels would require a somewhat higher initial temperature of Th=9 keV for a hot spot with an initial areal density ρd=0.6gcm−2 . Simulations are performed with a 3D hybrid particle-in-cell/fluid code for the heating process by fast electrons and a 3D radiation hydrodynamics code for the burning process. Simulation results agree with the model. Our optimized result shows a 10 ps heating laser pulse with an energy as low as 39 kJ can lead to a fast ignition in the ideal case. This study provides an effective reference for design and evaluation of experiments planned for fast ignition schemes.

The optimization method with segmenting iteration strategy for a long-wavelength infrared metalens

Over the past several years, there has been a substantial surge in the utilization of metasurfaces in micro-electronics and micro-optical devices. As one of their applications, metalenses have aroused significant research interest. In this paper, a new optimization method based on micro co-fluctuation model is proposed to optimize the initial metalens for better focusing performance by adjusting the structural dimensions of nanopillars. A segmenting iteration strategy is used to legitimately reduce the computation space. Meanwhile, an improved Harris Hawks Optimizer (IHHO) is proposed to obtain the optimal solutions, in which a new formula for escape energy is defined to promote the diversity of solution space. The optimization results indicate that the proposed optimization method effectively enhances the focusing capability of the initial metalens with a numerical aperture (NA) of about 0.7 and an operating wavelength of 10.6 μm. The maximum field intensity of the central hot spot and the absolute efficiency have increased by approximately 59.02% and 71.13%, respectively, and the full width at half maximum (FWHM) remains nearly the same value, which provides the potential for achieving high-contrast imaging.

Neurotoxicology of alcohol: a bibliometric and science mapping analysis.

Alcohol consumption is common in many societies and has increased considerably, resulting in many socioeconomic and public health problems. In this sense, studies have been carried out in order to understand the mechanisms involved in alcohol consumption and related harmful effects. This study aimed to identify and map the knowledge and to perform bibliometric analysis of the neurotoxicology of alcohol based on the 100 most cited articles. A search was carried out in the Web of Science Core Collection database and information was extracted regarding the journal, authors, keywords, year of publication, number of citations, country and continent of the corresponding author. For each selected manuscript, the study design, alcohol exposure model, dose, period of exposure, and effect on the central nervous system and research hotspots were mapped. The journal with the highest number of publications was Alcoholism: Clinical and Experimental Research (n = 11 papers), the author who contributed the most was Crews FT (n = 8 papers), the studies had a total of 288 keywords and 75% of the publications were from the United States of America. The experimental studies evaluated the effects of prenatal and postnatal exposure and were conducted in rats and mice using doses ranging from 2.5 to 14g/kg/day, with administration by subcutaneous, intraperitoneal, intragastric, or inhalation route or with free access through drinking bottles. Among the studies mapped, the oldest one (1989) aimed to understand the systemic damage and mechanisms of action involved, while the most recent focused on understanding the receptors and mechanisms involved in addiction, as well as genetic factors. Our results show the panorama of the most widespread scientific production in the scientific community on the neurotoxicology of ethanol, a high prevalence was observed in studies that addressed fetal alcohol syndrome and/or the effects of ethanol on neurodevelopment.

Beam-plasma interaction in fast ignition nuclear fusion: Hot-spot properties and gains for different initial plasma temperatures

The main objective of this work is to characterize relevant properties of the hot spots obtained in the interaction between ion beams of V23+ and a spherical pure precompressed deuterium–tritium plasmas in the field of ion fast ignition scheme. In particular, we focus our analysis on the determination of the length, average temperature and maximum temperature (and its location) achieved by the hot spot as a function of the ion beam parameters (particle density and initial energy). Special attention is paid to central hot spots with characteristic lengths in the range 20–40 μm. Furthermore, the self-heating and ignition curves associated to the hot spots generated as well as the burning gain of the precompressed deuterium–tritium fuel are determined. This study is made for a wide range of the beam parameters in which the ignition of the hot spot is achieved and for precompressed deuterium–tritium plasma at 500 g cm3 and temperatures of 0.5, 1 and 5 keV.

World heritage tag and genealogy of WGEEP report: The intricacies in Western Ghats conservation

ABSTRACT United Nations Educational, Scientific and Cultural Organisation (UNESCO) strives to increase the number of natural World Heritage Sites to protect it from the onslaught of climate change and anthropogenic disturbances. The international community at the Paris Agreement on climate change in 2015 recognized reducing emissions from deforestation and forest degradation and the role of conservation, sustainable management of forests, and enhancement of forest carbon stocks in developing countries as one of the best low cost panacea for global environmental problems. India, in its Nationally Determined Contributions (NDCs) promised to increase its forest cover as an effort toward the mitigation of climate change. All these efforts are directed toward saving our Earth from the worst impacts of global warming. In the midst of these efforts, the conservation of Western Ghats is one of the central hotspots of biodiversity and deserves special attention. Thus, this paper looks into the questions how the Heritage Tag and Western Ghats Ecology Expert Panel (WGEEP) report causes intricacies in the conservation of Western Ghats? And why local inhabitants are so much apprehensive about the conservation of their region? This study proves that negligence in addressing the concerns and participation of affected stakeholders, from the framing of the conservation projects to its implementation, leads anti-conservation movements. Additonally, such conservation projects will never break ground and will remain on paper.

Spatio-temporal distribution and influencing factors of norovirus outbreaks in Beijing, China from 2016 to 2020

BackgroundNoroviruses are a leading cause of acute gastroenteritis (AGE) worldwide. The geographical characteristics of norovirus outbreaks in Beijing and their influencing factors remain unknown. This study aimed to explore the spatial distributions, geographical characteristics, and influencing factors of norovirus outbreaks in Beijing, China.MethodsEpidemiological data and specimens were collected through the AGE outbreak surveillance system in all 16 districts of Beijing. Data on spatial distribution, geographical characteristics, and influencing factors of norovirus outbreaks were analyzed using descriptive statistics methods. We measured spatial, geographical clustering of high- or low-value deviance from random distribution using Z-scores and P-values as statistical significance measures with Global Moran’s I statistics and Getis-Ord Gi in ArcGIS. Linear regression and correlation methods were used to explore influencing factors.ResultsBetween September 2016 and August 2020, 1,193 norovirus outbreaks were laboratory-confirmed. The number of outbreaks varied seasonally, typically peaking in spring (March to May) or winter (October to December). Outbreaks primarily occurred around central districts at the town level, and spatial autocorrelation was evident in both the entire study period and in individual years. Hotspots of norovirus outbreaks in Beijing were primarily found in contiguous areas between three central districts (Chaoyang, Haidian, Fengtai) and four suburban districts (Changping, Daxing, Fangshan, Tongzhou). The average population numbers, mean number of all schools, and mean number of kindergartens and primary schools for towns in central districts and hotspot areas were higher than those in suburban districts and non-hotspot areas respectively. Additionally, population numbers and densities of kindergartens and primary schools were influencing factors at the town level.ConclusionsHotspots of norovirus outbreaks in Beijing were in contiguous areas between central and suburban districts with high populations, and high kindergarten and primary school densities were the likely driving forces. Outbreak surveillance needs to focus on contiguous areas between central and suburban districts with increased monitoring, medical resources, and health education.

Spatial heterogeneity in the exclusive use of hygienic materials during menstruation among women in urban India.

Menstrual hygiene is essential for women to live with dignity. However, a large proportion of Indian women still suffer from unhygienic menstrual practices leading to reproductive tract infections. To understand the socioeconomic and bio-demographic determinants of menstrual hygiene practices, various national or local level studies have been conducted in India and around the world, however, no previous study has tried to understand the spatial heterogeneity across Indian districts in the use of hygienic materials among young urban women. This study used data from 54,561 urban women aged 15-24 from the National Family Health Survey-5. Global Moran's I was applied to assess the degree of spatial autocorrelation and cluster and outlier analyses to locate hot-spots and clod-spots in the exclusive use of hygienic materials across the districts. Ordinary least square, spatial lag, and error models were used to identify determinants of exclusive use of hygienic materials. Approximately 66.8% of urban women exclusively use of hygienic materials which varied across districts. Global Moran's I of 0.46 indicated positive spatial autocorrelation in the outcome. Cluster and outlier analysis revealed cold-spots in central Indian districts and hotspots in south Indian districts. Results of spatial error model identified women's years of schooling, marital status, social group, and household wealth were major determinants of the exclusive use of hygienic materials among urban women across Indian districts. Substantial spatial heterogeneity in the outcome among urban women in India suggests the need to design targeted and context-specific behavioural interventions and programs for women in urban India.

The Mechanical Nature of the Lithosphere Beneath the Eastern Central Atlantic Hotspots

AbstractThe Eastern Central Atlantic (ECA) region includes the Azores, Canary, Cape Verde, Great Meteor, and Madeira hotspots. These hotspots exhibit a large variety of characteristics and are rooted in the lithosphere ranging in age from newly created at the Mid Atlantic Ridge to Jurassic at the NW Africa Atlantic margin. Therefore, the ECA region represents an excellent scenario to investigate in an integrated way the effects of hotspots on the mechanical structure of oceanic lithosphere. Here, we calculate the effective elastic thickness (Te) of the lithosphere from an analysis of gravity and topography. Azores hotspot is characterized by a Te < 10 km, whereas the Great Meteor, Cape Verde, and Madeira hotspots have intermediate Te (15–30 km) values. In contrast, the Canary hotspot is characterized by a much higher Te (>50 km), forming the largest and most prominent mechanical feature in the ECA. All the hotspots except Canary show standard elastic thickness values when compared to average values for the same age lithosphere and to other oceanic areas in the world. The high strength of the Canary hotspot may be related to the highly depleted mantle composition in the area. The comparison between the elastic thickness distribution and the upper mantle seismic velocity structure shows no correlation between the Te estimated at the ECA hotspots (with the exception of Azores) and the presence of low shear‐wave velocity anomalies in the underlying mantle. This lack of correlation suggests a negligible effect of upper mantle temperature anomalies on the flexure of the ECA region.

Fluorescence signal amplification by optical reflection in metal-coated nanowells.

Asignificant amplification in the fluorescence signal is demonstratedwhen measured in metal (aluminum)-coated fluidic wells with volumes on the order of a nanoliter or smaller (nanowells). Photolithographic and wet etching procedures were used to fabricate these nanowells on glass substrates followed by vapor deposition of an aluminum layer on them. The fluorescence signal recorded in these structures was enhanced due to the reflection of the incident and emitted radiation by the metal layer as well as focusing of this light by the curvature of the well surface. While the first effect amplified the background signal in the entire assay chamber, the latter one produced signal hotspots around the edges and center of the nanowell. In this work, we were able to realize over a 20-fold enhancement in the fluorescence signal upon quantitating it at the central hotspot of an aluminum-coated circular nanowell with a depth and photo-patterned diameter of 30µm and 38µm, respectively. More interestingly, our experiments indicate that this enhancement factor may be further improved by optimizing the curvature of the nanowell surface to merge all the signal hotspots within a smaller detection zone. Finally, quantitative assays using horseradish peroxidase samples were performed on the reported signal enhancement platform to further demonstrate its utility for making sensitive analytical measurements.

Micro-dimensional oscillation-based optimization for a dielectric metalens in the mid-infrared.

In the past few decades, there has been significant progress made in metasurfaces and integrated and miniaturized optical devices. As one of the most prominent applications of metasurfaces, the metalens is the subject of significant research. In this paper, for achieving better focusing performance of the initial metalens designed by the Pancharatnam-Berry (PB) phase, a concept of micro-dimensional oscillation is proposed to optimize the geometric parameters of nanopillars. A strategy of grouping iteration is proposed to reduce the loss rate and computational effort in a holistic way. Its essence is to divide an extremely large-scale optimization space into many overlapping groups. Meanwhile, an improved genetic-simulated annealing (IGSA) algorithm is presented for the optimal solution of each group. By introducing the adaptive crossover and mutation probabilities in traditional genetic algorithms, the IGSA algorithm has both strong global searching capability and excellent local searching capability. After optimization, the maximum field intensity of the central hot spot can be increased by about 8% compared to the initial metalens. Moreover, the field intensity of the side lobes around the hot spot is almost constant, and the central hot spot increases, which provides a potential for the realization of high imaging contrast.

A 2-4keV multilayer mirrored channel for the NIF Dante system.

During inertial confinement fusion experiments at the National Ignition Facility (NIF), a capsule filled with deuterium and tritium (DT) gas, surrounded by a DT ice layer and a high-density carbon ablator, is driven to the temperature and densities required to initiate fusion. In the indirect method, 2 MJ of NIF laser light heats the inside of a gold hohlraum to a radiation temperature of 300eV; thermal x rays from the hohlraum interior couple to the capsule and create a central hotspot at tens of millions degrees Kelvin and a density of 100-200 g/cm3. During the laser interaction with the gold wall, m-band x rays are produced at ∼2.5keV; these can penetrate into the capsule and preheat the ablator and DT fuel. Preheat can impact instability growth rates in the ablation front and at the fuel-ablator interface. Monitoring the hohlraum x-ray spectrum throughout the implosion is, therefore, critical; for this purpose, a Multilayer Mirror (MLM) with flat response in the 2-4keV range has been installed in the NIF 37° Dante calorimeter. Precision engineering and x-ray calibration of components mean the channel will report 2-4keV spectral power with an uncertainty of ±8.7%.

Genetic differentiation, demographic history and distribution models of high alpine endemic vicariants outline the response of species to predicted climate changes in a Central Asian biodiversity hotspot

Understanding species distribution, genetic diversification and evolutionary history is extremely important for mountainous regions with a high diversity of endemic species, which are particularly sensitive to climate change. In this study, we use environmental and molecular data obtained from genome-wide analyses to infer the genetic variability, demographic processes, and response of the cold-adapted, endemic geographical-vicariants Stipa gracilis (distributed in the Tian Shan Mts) and S. zeravshanica (distributed in the western Pamir-Alai Mts) to Quaternary climatic oscillations in a Central Asian mountain biodiversity hotspot. Genomic-based reconstructions of demographic history indicate that the examined endemics presented larger effective population sizes during the Last Glacial Maximum (LGM) period and experienced parallel demographic declines afterward. The results of fastSTRUCTURE analysis revealed three genetic clusters within S. gracilis populations and two within S. zeravshanica. The past distribution models reveals the glacial connectivity of both species, resulting in the detection of an admixture of S. zeravshanica genes in the specimens from the westernmost ‘Alaian’ population of S. gracilis. Although the occurrence of both species is closely associated with calcareous rocks, the differences in the ranges of the species distributions depend mostly on climatic factors, especially temperature and precipitation. The wider realized ecological niche of S. gracilis allows it to better adapt to global warming and potentially extend its range in the future, while S. zeravshanica, with its narrower niche, is more susceptible to environmental changes and potentially at risk of extinction. The findings will contribute to a better understanding of the factors shaping the distribution and genetic differentiation of mountain endemic species and provide a theoretical basis for their conservation by identifying areas sensitive to climate change in biodiversity hotspots.

A Bus Home: Homelessness in U.S. Transit Environments

More than 500,000 people experience homelessness in the United States, and many turn to transit vehicles, stops, and stations for shelter. We present findings from a survey of 115 U.S. and Canadian transit operators that inquired about homelessness on transit systems. We find that homelessness is broadly present, though more concentrated on central hotspots, and worsened during the pandemic. In response, transit agencies often initiate a combination of punitive and outreach strategies. Based on our findings, we argue for better data collection, establishment of policies and protocols, engagement in outreach strategies, and partnering with service providers.

Knock-on deuteron imaging for diagnosing the morphology of an ICF implosion at OMEGA

Knock-on deuteron imaging is a new diagnostic technique that is being implemented at the OMEGA laser facility to diagnose the morphology of an inertial confinement fusion (ICF) implosion. It utilizes the fact that some of the neutrons from deuterium–tritium (DT)-fusion reactions generated in the central hot-spot of an ICF implosion elastically scatter deuterons as they traverse the surrounding shell layer. The energy of these “knock-on” deuterons depends on the scattering angle, where the most energetic deuterons are forward-scattered and probe the shape of the central hot-spot, while lower-energy deuterons are made by side-scattering or slowing down in the fuel and carry information about the distribution of the dense DT-fuel layer surrounding the hot-spot. The first proof-of-concept tests have been conducted successfully. In these tests, three penumbral imagers with different views on an implosion recorded deuterons scattered from the dense shell of DT-gas-filled deuterated plastic shell implosions with prescribed offsets. Data from these experiments are presented here, along with novel analysis techniques that iteratively reconstruct the deuteron source from the data. Reconstructed hot-spot and shell radii agree with 1D hydro simulations and indicate a P1 asymmetry in the direction of the offset. A comparison of coaxial deuteron and x-ray images suggests the presence of a mix between the hot-spot and shell on the order of 15 μm. This new diagnostic capability will allow us to study asymmetries in unprecedented detail at OMEGA.

Characterizing the Spatiotemporal Patterns and Key Determinants of Homestay Industry Agglomeration in Rural China Using Multi Geospatial Datasets

Understanding the spatiotemporal patterns and key determinants of rural homestay industry agglomeration is crucial for the well-planning and well-management of rural tourism during the process of rural revitalization in China. By employing multi geospatial datasets, this study investigated the long-term spatiotemporal patterns and their key determinants of homestay inns during the period 2004–2019 in Moganshan, a well-known rural tourism destination in Zhejiang Province, China. The kernel density estimation and spatial autocorrelation were integrated to identify the hotspots of rural homestay inns at a fine scale. The key determinants were further uncovered using multiple stepwise regression and logistic regression models. The result shows that the overall growth of homestay inns was slow at the early stage and has progressed rapidly since 2014, with 94.2% of homestay inns newly opened during the period 2014–2019. The first hotspot was located in Moganshan National Park and then spread to the surrounding villages. Three hotspot zones have emerged, including the northern hotspot zone (Sihe-Xiantan), central hotspot zone (Houwu-Park-Liaoyuan), and southern hotspot zone (Ziling-Laoling-Lanshukeng) by 2019. The modeling indicates that government policy was an essential determinant for the increase in homestay inns, followed by entrepreneurship and investment. The new homestay inns were more likely to occur in settlements close to scenic spots, river networks, and cultivated land. Abundant scenic spots and heterogeneous landscapes were also preferred when selecting sites and executing landscape design for homestay inns. Our empirical study has provided practical insights for policy makers, entrepreneurs, and planners for future sustainable homestay industry development.