Average Growth Research Articles

Prospective Analysis and Innovative Path Research on Silver Sports Economy in the Context of Aging Society

This study focuses on the prospects and innovative pathways for the development of the silver-haired sports economy in the context of an ageing society. The proportion of the global population over 65 years old is expected to increase from 9% in 2019 to 16% in 2050, highlighting the huge potential of the silver-hair economy. This paper adopts a mixed research methodology, combining spatial econometric modelling and rootedness theory, to explore in depth the current development status, trend forecasts and innovation paths of the silver-haired sports economy. The study constructs a silver-hair sports economy assessment system containing 22 indicators, and uses panel data to analyse the development level of 31 provinces, municipalities and autonomous regions in China from 2010 to 2023, and the results show that the average annual growth rate of silver-hair sports economy reaches 15.7%, but the gap between Beijing, Tianjin, Shanghai and Guangdong and the central and western regions reaches 1.8 times. Analyses based on the Spatial Durbin Model show that every 1 percentage point increase in silver-haired sports consumption can drive 0.3 percentage points of GDP growth in neighbouring regions. Through a Delphi method research of 150 industry experts, it is predicted that the size of China's silver-haired sports market will exceed RMB 3 trillion in 2030, increasing its share of GDP to 2%. The qualitative study reveals three innovative paths: intelligent transformation, ecosystem construction, and cross-border integration, and proposes specific strategies such as "integration of sports and medicine" and "social platform for silver sports". The results of the study provide data support and theoretical basis for the formulation of policies for the development of the silver sports economy, and provide important insights into the industrial transformation of an aging society.

A bibliometric analysis for remote sensing applications in bush encroachment mapping of grassland and savanna ecosystems

Grasslands and savannas are experiencing transformation and degradation due to bush encroachment (BE). BE has been monitored using restrictive traditional techniques that include field surveys and manual long-term observations. Owing to the limitations of traditional techniques, remote sensing (RS) is an attractive alternative to assess BE because of its generally high precision and return interval, cost-effectiveness, and availability of historical data archives. Furthermore, RS has an added advantage in its ability of acquiring global coherent data in near-real time compared to the snapshot acquisition mode with traditional surveying techniques. Despite its extensive application and vast possibilities, a critical synthesis for RS successes, shortcomings, and best practices in mapping BE in savannas and grasslands is lacking. Thus, broadly, the direction, which this type of investigation has taken over the years is largely unknown. This study sought to connect and measure the progress RS has made in mapping BE in grassland and savanna ecosystems through bibliometric analysis. One hundred and twenty-three peer-reviewed English written documents from the Web of Science and Scopus databases were evaluated. The study revealed 13.05% average annual publication growth, indicating that RS and BE mapping research in grasslands and savannas has been increasing over the survey period. Most published studies came from the USA, while the rest came from South Africa, China, and Australia. The results indicate that BE has been extensively mapped in grasslands and savannas using coarse to medium resolution data. As a result, there is a weak relationship (r² = 0.324) between the dependent variable (aerial images) and the independent variable (percentage of woody cover). This connotes the need to improve BE assessments in grasslands and savannas by integrating recent high-resolution data, machine learning algorithms and artificial intelligence.

Implementasi Smart Cow Farming Technology untuk Monitoring Pertumbuhan Sapi dan Peningkatan Skala Usaha pada Kelompok Peternak Sapi DiBa Farm Kabupaten Lampung Selatan

The DiBa Farm Livestock Group faces several urgent issues that need to be addressed not all cows can achieve the minimum weight gain target of 1.5 kg per day. Monitoring of cow growth productivity is done manually; (3) the calculation of the cost of goods sold is also still done manually. The partner's marketing of livestock products is limited to regular customers within the South Lampung area only. Based on these prioritized issues, the proposed solutions and methods are implementing a wheelbarrow tool with a digital scale for transporting cow feed using IoT technology. Implementing a cow growth monitoring application using RFID. Implementing a website-based application to automatically determine the Cost of Goods Sold for cows. Implementing a digital marketing application for cow sales that can be accessed via a website. Providing training and assistance related to digital marketing strategies. Based on the evaluation results, it was found that the implementation of Smart Cow Farming Technology 100% improved the partners' knowledge of its usage. The average cow growth increased monthly, from 45 kg to 50 kg. Additionally, there was a 25% increase in profits due to the implementation of the cost of goods sold calculation application and the online cow sales application. The evaluation results from the digital marketing training activities also showed that 85% of the partners' knowledge and understanding improved in terms of using digital marketing.

The association of fetal growth rate and growth in first year of life with childhood overweight: a cohort study

BackgroundThere is an increasing focus on the first 1000 days from conception to two years of age as a period of importance for future weight. We aimed to describe the interaction between fetal and infant growth and their association with and ability to predict childhood overweight.MethodsWe used routinely collected fetal growth data from Aarhus University Hospital and child growth data from Aarhus Municipality, 2008–2018. The outcome was overweight at age 5–9 years. The fetal growth rates at weeks 28 and 34 were extracted from individual trajectories using mixed models. We identified patterns of infant BMI Z-score growth using latent class analysis and estimated odds ratios of overweight at age 5–9 years dependent on fetal and infant growth. Predictive capabilities were assessed by comparing areas under the ROC-curves (AUCROC) of the prediction models.ResultsIn 6206 children, we identified three infancy growth patterns: average, accelerated, and decelerated growth. We found 1.09 (95% CI: 1.06–1.12) greater odds of being overweight for every 10 g/week increase in fetal growth rate at week 34. Compared with average growth, accelerated infant growth was associated with 1.52 (95% CI: 1.20–1.90) greater odds of overweight. Combining fetal and infant growth, children with average fetal growth and accelerated infant growth had 1.96 (95% CI: 1.41–2.73) greater odds of overweight. Fast fetal growth with decelerated infant growth was not associated with being overweight (OR: 0.79 (95% CI: 0.63–0.98)), showing that infant growth modified the association between fetal growth and overweight. When fetal growth was added to a prediction model containing known risk factors, the AUCROC remained unchanged but infant growth improved the predictive capability (AUCROC difference: 0.04 (95% CI: 0.03–0.06)).ConclusionFetal and infant growth were independently associated with overweight, but distinct combinations of fetal and infant growth showed marked differences in risk. Infant, but not fetal, growth improved a prediction model containing known confounders.

The cost-efficiency carbon pricing puzzle

Any global temperature target must be translated into an intertemporal carbon budget and its associated cost-efficient carbon price schedule. Under the Hotelling’s rule without uncertainty, the growth rate of this price should be equal to the interest rate. It is therefore a puzzle that many cost-efficiency IAM models yield carbon prices that increase at an average real growth rate above 7% per year, a very large return for traders of carbon assets. I explore whether uncertainties surrounding the development of green technologies could solve this puzzle. I show that future marginal abatement costs and aggregate consumption are positively correlated. This justifies doing less for climate change than in the safe case, implying a smaller initial carbon price, and an expected growth rate of carbon price that is larger than the interest rate. In the benchmark calibration of my model, I obtain an equilibrium interest rate around 1% and an expected growth rate of carbon price around 3.5%, yielding an optimal carbon price above 200 USD/tCO2 within the next few years. I also show that the rigid carbon budget approach to cost-efficiency carbon pricing implies a large uncertainty surrounding the future carbon prices that support this constraint. I show that green investors should be compensated for this risk by a large risk premium embedded in the growth rate of expected carbon prices, rather than by a collar on carbon prices as often recommended.

Atomic Layer Deposition of Nickel Using Ni(dmamb)2 and ZnO Adhesion Layer Without Plasma

In this study, a novel deposition technique that utilizes diethylzinc (C4H10ZnO) with H2O to form a ZnO adhesion layer was proposed. This technique was followed by the deposition of vaporized nickel(II) 1-dimethylamino-2-methyl-2-butoxide (Ni(dmamb)2) and H2 gas to facilitate the deposit of uniform layers of nickel on the ZnO adhesion layer using atomic layer deposition. Deposition temperatures ranged from 220 to 300 °C. Thickness, composition, and crystallographic structure results were analyzed using spectroscopic ellipsometry, scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and X-ray diffraction (XRD), respectively. An average growth rate of approximately 0.0105 angstroms per cycle at 260 °C was observed via ellipsometry. Uniform deposition of ZnO with less than 1% of Ni was displayed by utilizing the elemental analysis function via SEM, thereby providing high-quality images. XPS revealed ionizations consistent with nickel and ZnO through the kinetic and binding energies of each detected electron. XRD provided supplemental information regarding the validity of ZnO by exhibiting crystalline attributes, revealing the presence of its hexagonal wurtzite structure.

Introducing a Promising New Disinfection Technology for the Fonce River in Colombia

Urban wastewater disinfection is a critical component of environmental sustainability and human health. Current technologies for this are often costly and inaccessible to many communities. Typically, this treatment is carried out by chemical processes, with chlorination being the most common despite the potential for harmful disinfection byproducts. However, the emergence of promising alternatives, such as physical processes that utilize hydrodynamic cavitation reactors (HCRs), offers significant energy and environmental benefits. Based on this, the Fundación Universitaria San Gil, UNISANGIL, has developed a technology that utilizes hydrodynamic cavitation (HC) to disinfect urban wastewater samples discharged into the Fonce river in San Gil, Santander, Colombia. The primary objective of this research was to test the ability of a hydrodynamic cavitation system to reduce total coliforms and fecal coliforms (E. coli) in a 200 L tank containing 12.5 L of domestic urban wastewater diluted in 187.5 L of non-residual water. The methodology consisted of three steps: HCR design and simulation, HC implementation, and disinfection measurement. The experiments were conducted with a Venturi-type HCR, designed with computational fluid dynamics, and tested with wastewater samples from one of the ten discharges that flow into the river. The results obtained for a system with a flow capacity of 0.00625 m3/s show an average growth inhibition rate of 31.72 %, 59.45 %, and 84.53 % for one, ten, and twenty water recirculation, respectively, with an energy efficiency of 2327.6 CFU/J. The highest results reach a Growth Inhibition Rate (GIR) of 93.40 %, a Logarithmic Reduction (LR) of 1.18 for Total Coliforms, and a GIR of 95.12 % and an LR of 1.31 for E. coli. Finally, it is concluded that this technology holds great promise for efficiency and operational viability, with further testing required to realize its potential.

Comparative evaluation of facial divine proportions in males and females with average growth pattern

Facial beauty of an individual depends on proportion and its relationship to various facial parts which varies in each individual. The values of measured proportion in beautiful faces are likely to approximate divine proportion and may show variation with ethinicity, sex, growth pattern. Hence, aim of the study was to evaluate and compare vertical and horizontal parameters of facial divine proportions in male and female subjects with average growth pattern. 30 subjects (18-30 yrs age) with average growth pattern (based on cephalometric measurements FMA, Yaxis, GoGn-SN and facial axis angle) were divided into two groups as Group I (Male subjects, n=15) ; Group II (female subjects, n=15). Standardized frontal facial photographs of all the subjects were obtained. Nine vertical and four horizontal parameters were measured on all the facial photographs using IC Measure software and were used to evaluate horizontal and vertical facial proportions and then compared to divine proportions considering 1.618 as 100%. Horizontal and Vertical facial proportion in males were higher than females. Group I showed that three of seven vertical facial proportions were close to divine proportion (1.618) whereas only one vertical facial proportion in Group II were close to divine proportions. Horizontal facial proportions in both the groups deviated more from divine proportion (1.618).There was difference between males and females for the vertical and horizontal facial proportions with values being larger in males. This should be considered as an accessory guideline in planning orthodontic or orthognathic treatment.

A direct comparison of the radial growth response to drought of European and Oriental beech

Climate change-related extreme drought events already have a significant impact on the productivity and mortality of Central European forests. European beech (Fagus sylvatica ssp. sylvatica), one of the most important European broadleaved species, has responded to such drought periods with increasing mortality and reduced volume increment. This has raised concerns about its suitability and adaptive capacity in relation to future climatic conditions and motivated the search for alternative tree species that are suitable for assisted migration into European beech forests. One of the candidates is the Oriental beech species complex (F. sylvatica ssp. orientalis), whose range extends from the Balkan to Iran and, at least in some parts of its range, grows under a warmer and drier climate. In order to evaluate whether Oriental beech is more drought tolerant, we compared the radial growth response to droughts between 1920 and 2018 of a total of 138 European and 122 Oriental beeches growing under identical site conditions in eight different locations in Germany and France. The species identity of all analysed trees was verified by microsatellite analyses, and the origin of the introduced Oriental beech was traced to the Greater Caucasus (7 stands) and the Black Sea coast (1 stand). The drought responses of radial growth were quantified using the indices resistance, resilience, and recovery as suggested by Lloret et al. (2011) and growth recovery time (GRT) (Thurm et al., 2016) and used as response variables in generalized linear mixed effect models.Considering only the average radial growth response to severe and extreme drought events, both the different Lloret indices and the GRT did not show prominent difference between Oriental and European beech. However, the mixed model analyses, which also included interaction terms, revealed interspecific differences in drought tolerance, depending on the intensity and timing of the drought. In extreme summer drought years, values of resistance predicted by the mixed-effect models were significantly higher in Oriental beech than in European beech, whereas its resilience was only slightly better than in European beech, regardless of drought intensities. In contrast, Oriental beech was much more susceptible to spring drought with significantly weaker growth recovery and distinctly longer growth recovery times.Based on these results, Oriental beech provenances from the Caucasus do not appear to be sufficiently more drought tolerant than European beech to justify an assisted migration approach to adapt Central European forests to climate change. To analyse the drought tolerance of Oriental beech more comprehensively, introduced trees representing other genetic clusters need to be analysed, as well as the effects of repeated drought events on growth and mortality.

Economic Analysis of the Export Trends of Livestock and Livestock Products in India

Livestock provides livelihood to two-third of rural masses and employs about 8.8 per cent population of India. While dairying ensures livelihood to 70 million farm families. The study utilized export data from government sources and conducted a statistical analysis to assess trends and stability. Data revealed that the overall export value increased significantly from ₹22,092.62 crore in 2011-12 to ₹48,947.55 crore in 2021-22, reflecting a compound annual growth rate (CAGR) of 4.90%. Buffalo meat emerged as the leading export product, while dairy products exhibited a notable growth rate while dairy products and other categories showed varied growth. The instability index for the total exports was 19.02%, indicating moderate stability. State-wise analysis indicated Uttar Pradesh as the leading exporter, followed by Maharashtra and Haryana, with these three states together accounting for 85% of the total exports in 2021-22. The average growth rate of exports across states was 3.57%, demonstrating a stable growth pattern. Despite challenges posed by the COVID-19 pandemic, the sector showed resilience with a 13.98% growth in exports for 2021-22, aided by government initiatives. The analysis of dairy product exports highlighted a significant increase from ₹2,382.91 crore in 2020-21 to ₹4,742.70 crore in 2021-22, marking a 99% growth. The primary export destinations were the USA, Bangladesh, UAE, Saudi Arabia, Bahrain, and Malaysia. A transitional probability matrix revealed shifts in market shares, with notable increases in the USA and Bangladesh. Trade performance from 2011-22 showed that India's export share in dairy products improved from 0.03% to 0.135%, while import share decreased significantly. The instability index for exports was 63.53%, reflecting high volatility. Investing in advanced breeding technologies to increase productivity, and enhancing market access through trade agreements and promotional activities. Additionally, policies to manage volatility, such as price stabilization measures and export incentives, could further support industry growth.

Shrinkage cracking law and anti-crack inverse design in early-age concrete: A novel perspective on the development of crack resistance properties

Early-age cracking in massive concrete has long attracted research focus, essentially governed by the game between crack driving and resistance. However, cracking resistance aspect received inadequate attention. This study examines the impact of crack resistance properties development processes on shrinkage cracking law in early-age concrete, employing chemo-thermo-mechanical coupling phase-field model. Two quantitative evaluation indicators, namely the index of damage development and average growth rate of maximum damage, are introduced to characterize the process of damage and cracking. The findings demonstrate that the development processes of elastic modulus and tensile strength exert a considerable influence on shrinkage cracking process in early-age concrete, whereas the impact of fracture energy development process is insignificant. Multifactor analysis revealed substantial coupling effects among parameters. Additionally, an anti-crack reverse design method is proposed based on the global optimization analysis, which can guide the optimization design of shrinkage crack prevention and control in early-age concrete from both perspectives of crack driving and crack resistance.

Unusual cobalt behaviors and enrichment in cobalt-rich crust from the Magellan seamounts in the Western Pacific

Marine cobalt-rich (Co-rich) crusts are submarine critical metal resources with high economic value. In this study, detailed in-situ fine-scale morphological, mineralogical, and geochemical analyses were conducted on Co-rich crust from the Western Pacific. The Co-rich crust can be divided into three layers: (1) Layer 1 is the oldest anthracite layer and contacts with the substrate, showing a very dense laminated/columnar texture. Layer 1 can be further divided into two distinct sublayers: a lower black, massive, dense sublayer (Layer 1–1) and an upper black-to-brown sublayer (Layer 1–2). (2) Layer 2 is porous and locally vuggy, and its pore space is filled with a large amount of silicate detrital minerals and clay minerals. (3) Layer 3, on the top, is black and dense, with a dendritic, columnar/laminated texture. Co is very unevenly distributed throughout the whole crust, with three distinct Co-rich areas. Layer 3 is a typical hydrogenetic crust and has not undergone late alteration. The main processes for Co enrichment are specific adsorption-oxidation on Mn-oxides and the structural incorporation of Co3+ into Mn-oxide phases. The average Co content of the Layer 3 is much higher than that of the other two layers. The presence of abundant detrital and clay minerals, along with high levels of Al, Si, and Ti in Layer 2, indicates the incorporation of terrigenous material, resulting in a high average growth rate. However, these processes are not conducive to Co enrichment. In the phosphatized Layer 1, fluctuations in element content are significantly greater than in the upper, non-phosphatized layers. Phosphatization has resulted in the partial decomposition of the initial Co-rich micro-layers, which may have reactivated and migrated Co, contributing to secondary Co enrichment.

Enhanced pollution removal from canal water by coupling aeration to floating treatment wetlands

Floating treatment wetlands (FTWs) are natural solutions for purifying polluted water, providing a green surface area and improving city landscape. This study investigated if the efficiency of FTWs can be improved by aeration for treating contaminated canal water. The three used plant species were Canna generalis, Phragmites australis, and Cyperus alternifolius. The experiment was carried out in three FTWs with aeration and three without aeration to compare the removal for COD, NH4 +-N, E. coli, PO4 3−-P, and Fe. In the aerated FTWs, air blowers were installed to run at two different air flow rates of 2.5 L min−1 (Batch 1) and 1.0 L min−1 (Batch 2). Aeration increased the dissolved oxygen concentrations in each tank, which came over 6.5 mg L−1 in both batches. This study sheds light on the positive impact of aeration has on COD and NH4 +-N removal: these are nearly three-fold higher compared to non-aeration conditions and reached approximately 99% (1.7-log reduction) for E. coli removal. Additionally, the plant growth rate in the aerated FTWs was higher than in the non-aerated ones. The average shoot growth rate of Phragmites australis was 0.76 cm d−1 for the aerated FTW which was two-fold higher compared to the non-aerated one.

Porcine Cross-Linked Collagen Matrix for Peri-Implant Vertical Soft Tissue Augmentation: A Randomized Prospective Observational Study.

The mucosa height has always been of interest in modern implant dentistry to obtain biomimetic results. Papilla height, mucosa scalloping, and free mucosal margin level are crucial to achieve "pink aesthetics". The aim of this study was to investigate the vertical increase in the peri-implant soft tissues with a porcine cross-linked collagen matrix (Geistlich Fibro-Gide®). Methods: A total of 60 patients were divided into the following three groups: Group 1-patients who received porcine cross-linked collagen matrix for vertical soft tissue augmentation and a cover screw combined with a coronally advanced flap (CAF); Group 2-patients who received the collagen matrix combined with a healing abutment and CAF; Group 3 (control group)-patients who received a traditional surgical approach based on crestal incision and no collagen matrix as well as no CAF. Results: The average horizontal tissue thickness growth after 3 months was more effective for Group 1 (1.35 ± 1.23 mm) compared to Group 2 (0.85 ± 0.67 mm) and the control group (0.20 ± 0.41 mm). The average tissue height growth was 1.05 ± 1.39 mm for Group 1, 0.32 ± 1.28 mm for Group 2, and -0.05 ± 0.39 mm for the control group. Finally, the average increase in the band of keratinized mucosa was 0.60 ± 1.23 mm for Group 1, -0.60 ± 0.94 mm for Group 2, and 0.45 ± 0.60 mm for the control group. Conclusions: The combination of the CAF, porcine cross-linked collagen matrix, and cover screw resulted in better clinical results compared to Group 2 and 3.

Spatial Correlation of Land Use Carbon Budget Based on Social Network Analysis： A Case Study of Chongqing Metropolitan Area

Clarifying the temporal and spatial changes in the carbon budget in the Chongqing metropolitan area and exploring the spatial correlation of land use carbon budget are of great significance for realizing the regional "double carbon" goal. Using 21 districts and counties in Chongqing metropolitan area as the research scale, the IPCC inventory method, carbon emission coefficient method, Gini coefficient, gravity model, and social network analysis were used to estimate the net carbon emissions from land use in Chongqing metropolitan area from 2000 to 2020, and the spatial correlation of the carbon budget was obtained. The results revealed that： ① In the past 20 years, the carbon budget of the Chongqing metropolitan area showed an overall upward trend, with an average annual growth rate of 2.83%, and the spatial distribution was "higher in the north and south, higher in the east and west, and lower in the middle." ② During the past 20 years, the spatial difference of net carbon emissions in the Chongqing metropolitan area became highly average, and the overall Gini coefficient decreased by 11.42%, whereas the intra-group difference was the largest in key development zones. ③ In the past 20 years, the overall structure of the spatial correlation network of land use carbon budget in the Chongqing metropolitan area has become stable and complex, and the network density and network correlation number have increased by 0.43 and 180, respectively, the network correlation degree has increased to 1, and the network health degree has improved. ④ In the individual network structure of land use carbon budget in the Chongqing metropolitan area, the degree centrality of each district and county has increased, and the increase in the central urban area was the most significant, with an increase of 81, whereas the decline in intermediate centrality and proximity centrality has promoted the regional coordinated development and integration process in the metropolitan area. ⑤ In the past 20 years, the density of net carbon emissions in the Chongqing metropolitan area has increased as a whole, with the density of the core area increasing by 0.35 and the density of the core-edge area increasing by 0.34. By exploring the change and spatial correlation of land use carbon budget in the Chongqing metropolitan area, this study clarified the spatial distribution difference of carbon budget and provided support for regional green development.

Effect of government environmental attention on green transformation: Empirical analysis from a spatiotemporal perspective in China

As the primary policymaker and implementer, the government plays an essential role in driving regional green transformation development (GTD). The study of the impact mechanisms of government environmental attention (GEA) on GTD can offer a scientific basis and reference for policy-making and regional governance. However, the varying focus of local governments on environmental issues and the externalities of environmental governance underscore the complexities in the influence of GEA on GTD. This paper proposes a method that integrates multi-source data to explore the impact of GEA on GTD from a spatiotemporal perspective. A text mining framework is first proposed to provide a more accurate measurement of the GEA, and the geographically and temporally weighted regression model is used to analyze the spatiotemporal characteristic and mechanism of GEA's impact. Additionally, the spatial correlation effect is explored based on the gravity model. The results indicate that the level of GTD in China demonstrates an increasing trend with an average annual growth rate (AAGR) of 3.22%, while the variance between provinces is also increasing. GEA has a significant positive effect on GTD (R2 = 0.866), with an average growth rate of 18.1% following the implementation of major environmental policies. The spatial distribution pattern of GEA's impact shows the characteristics of “central > eastern > western > northeastern”. GEA promotes GTD by increasing environmental governance expenditure and enhancing public environmental services, while the transmission pathway of promoting green innovation has not yet worked. The spatial correlation and spillover effects of GEA have shown an overall increasing trend, with the AAGR of 8.92% in the gravity value. Inter-provincial cooperation can promote GTD, and certain collaborative clusters among provinces have been formed. This paper provides novel insights into the theoretical connection between GEA and GTD. The research findings can serve as a reference for the government to propose targeted policies for promoting regional green transformation.

Progress and research trends in lumpy skin disease based on the scientometric assessment – a review

Abstract Background Lumpy skin disease (LSD) has been a significant concern in veterinary medicine since its discovery. Despite decades of research, understanding the full spectrum of this disease remains a challenge. To address this gap, a comprehensive analysis of the existing body of knowledge on LSD is essential. Bibliometric analysis offers a systematic approach towards the mapping of research landscape, identifying key contributors, and uncovering emerging trends in LSD research. Objective This study aims to conduct a thorough bibliometric analysis spanning from 1947 to till the present date in order to map the knowledge domain of LSD. The objective is to gain insights into the global research trends, identify influential contributors, explore collaboration networks, and predict future outlook in LSD research. Method Data extracted from the Scopus database was used to perform a bibliometric analysis. 341 relevant documents were selected for analysis. Bibliometric indicators, including publication numbers, citation counts, and the h-index, were utilized to assess the comprehensive contributions of nations, organizations, authors, and source titles. Additionally, cooperation networks between countries, organizations, and authors were visualized using the VOSviewer tool. Results The analysis revealed a significant increase in research output on LSD, with a notable growth rate of 19.26%. Since its discovery in Zambia in 1929, LSD research has grown steadily, with an average annual growth rate of 5.21%. The University of Pretoria and the Federal Centre for Animal Health emerged as the most active institutions and organizations in LSD research. The Journal of Virology was identified as the most cited journal, reflecting its significant impact on the field, and a strong international collaboration was observed between the United Kingdom and South Africa. Conclusion This study provides valuable insights into the global research landscape of LSD, highlighting key trends, contributors, and collaboration networks. By reviewing decades of research, this analysis enhances our understanding of LSD and serves as a foundation for future research endeavours. The findings of this study will aid researchers in navigating the vast literature on LSD, ultimately contributing to advancements in veterinary medicine and disease management strategies.

Correlation of the Upper Nasolabial Angle With Skeletal Patterns and Nasal Morphology in Indian Adults: An Observational Study.

The upper nasolabial angle (UNLA) is an important determinant in clinical diagnosis and treatment planning. Therefore, the primary objective of this study was to assess the correlation between various skeletal parameters and nasal morphology in an Indian cohort, particularly UNLA. The secondary objectives were to evaluate sex differences in nasal morphology, optimal cut-off values of the UNLA for skeletal malocclusions, and differences in nasal morphology in different skeletal malocclusions. This retrospective study used 162 pre-treatment lateral cephalometric records of patients with skeletal Class I, Class II, and Class III relationships. Group 1 consisted of 68 skeletal Class I patients (ANB angle of 2-40), Group 2 consisted of 68 skeletal Class II patients (ANB angle > 40), and Group 3 consisted of 26 skeletal Class III patients (ANB angle of less than 20). Each group was further subdivided according to the growth pattern into low (horizontal), average, and high (vertical) growers. The angle between the sella-nasion plane and mandibular plane (SN-GoGn angle) was used to further divide the groups according to their growth pattern into a horizontal growth pattern (SN-GoGn angle < 280), an average growth pattern (SN-GoGn angle of 28-360), and a vertical growth pattern (SN-GoGn angle > 360). The study sample was also divided into males and females to assess gender differences. Spearman's correlation coefficient, multinomial logistic regression analysis, Mann-Whitney U test, and Kruskal-Wallis tests were used. Receiver operating characteristic curves were used to obtain the optimal cut-off values for UNLA. The UNLA showed a positive correlation with the sagittal position of the maxilla and a negative correlation with the sagittal position of the mandible and palatal plane (PP) inclination angle. Statistically significant sex differences were observed in nasal length, nasal depth, and lower anterior facial height. The optimal cut-off values for the UNLA angle in the class II skeletal pattern were ≥ 200, 16-200 for skeletal class I, and ≤ 160 for skeletal class III patients. None of the skeletal and nasal parameters were reliable predictors of the skeletal pattern type. The present study showed that the UNLA increased in the skeletal class II pattern with the downward inclination of the PP. Patients with skeletal class III malocclusion had an upward-canted nasal tip.

Growth Rate and Outcomes in Locally Recurrent Extremity and Truncal Soft Tissue Sarcoma.

Improved prognostic tools are needed for patients with locally recurrent extremity or truncal soft tissue sarcoma (STS). To examine the association between average local recurrence (LR) growth rate and outcomes following resection of locally recurrent extremity or truncal STS. This retrospective cohort study used a prospectively maintained database from a single high-volume tertiary sarcoma referral center in the US to identify patients 16 years of age or older who underwent repeat resection of a locally recurrent extremity or truncal STS between July 1, 1982, and December 31, 2021. Patients with atypical lipomatous tumors, desmoid tumors, dermatofibrosarcoma protuberans, angiosarcomas, and prior or synchronous distant recurrence were excluded. Data were analyzed from November 1, 2022, to June 17, 2024. Average LR growth rate, defined as the sum of recurrent tumor maximal diameters divided by the disease-free interval after index operation. The primary outcomes were cumulative incidences of disease-specific death (DSD), with death from other causes as a competing risk, and second LR, with death from any cause as a competing risk. The study cohort included 253 patients (median [IQR] age, 64 [51-73] years; 140 [55.3%] male). The 5-year cumulative incidence of DSD after repeat resection was 29%. Multivariable analysis indicated that LR growth rate (hazard ratio [HR], 1.12 [95% CI, 1.08-1.18]; P < .001), younger age (HR, 0.98 [95% CI, 0.97-0.99]; P = .002), R1 or R2 margins (HR, 1.71 [95% CI, 1.03-2.84]; P = .04), high LR grade (HR, 2.90 [95% CI, 1.17-7.20]; P = .02), and multifocality (HR, 2.92 [95% CI, 1.70-5.00]; P < .001) were independently associated with higher incidence of DSD. Using the minimum P value method, the optimal cutoff for growth rate was found to be 0.68 cm/mo. Patients with values above this cutoff had higher 5-year incidences of DSD following repeat resection (63% vs 19%; permutation test P < .001) and higher amputation rates (19% vs 7%; P = .008). Only R1 margins were independently associated with higher incidence of second LR (HR, 1.81 [95% CI, 1.19-2.78]; P = .006). In this cohort study of patients undergoing resection of a locally recurrent extremity or truncal STS, LR growth rate was independently associated with DSD. These findings suggest that patients with growth rates higher than 0.68 cm/mo who undergo LR resection may have high disease-specific mortality and amputation rates and should be considered for perioperative systemic therapy.

Analysis of Financial Performance of Village Fund Allocation Managers Based on Effectiveness Ratio and Growth Ratio at the Sipahutar III Village Office, Sipahutar District, North Tapanuli District

This research aims to determine the effectiveness of financial performance growth in managing Village Fund Allocations (ADD) at the Sipahutar III Village Office, Sipahutar District, North Tapanuli Regency. The data used comes from the Village Fund Allocation Financial Report from 2020 to 2022. Data collection methods used include documentation, literature study and observation. The data analysis technique applied is descriptive statistics using effectiveness ratios and growth ratios. The research results show that the financial performance of Village Fund Allocation (ADD) at the Sipahutar III Village Office is categorized as effective or good in terms of effectiveness ratio, with an average effectiveness of 100% during the 2020-2022 period. However, in terms of income and expenditure growth, there was a decline with an average negative growth of -3%. This research provides an illustration that although the effectiveness of ADD management in Sipahutar III Village is good, the challenge lies in the growth of income and expenditure which shows a decline. The implications of this research can be used as a basis for improving financial management strategies in order to support better growth in the future