The global Buchner funnel market is experiencing robust growth, driven by increasing demand across diverse sectors like pharmaceuticals, healthcare institutions, food and beverage processing, and chemical industries. The market size in 2025 is estimated at $150 million, exhibiting a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033. This steady expansion is fueled by several key factors. Firstly, the rising prevalence of research and development activities in the pharmaceutical and chemical sectors necessitates advanced laboratory equipment, including Buchner funnels. Secondly, stringent regulatory requirements concerning product purity and safety are driving adoption of high-quality, durable Buchner funnels. Furthermore, increasing investments in healthcare infrastructure and the expansion of food and beverage industries contribute significantly to market growth. The market is segmented by size (less than 50ml, 50-100ml, 100-150ml, and more than 150ml) and application. Larger volume funnels are gaining traction due to increased processing needs in larger-scale applications. While technological advancements and material innovations contribute to the market's expansion, pricing pressures and the availability of substitute filtration techniques pose some challenges. Key players like Thermo Fisher Scientific, Avantor, and DURAN Group GmbH are leveraging their strong brand recognition and established distribution networks to maintain market share. However, emerging players are also entering the market with innovative products and competitive pricing, intensifying competition. Geographic expansion, especially in emerging economies of Asia-Pacific, presents significant opportunities. The North American and European regions currently dominate the market, but rapid industrialization and growth in healthcare sectors in regions like Asia-Pacific are expected to drive significant market expansion in the coming years. This growth potential underscores the attractive investment prospects in the Buchner funnel market, especially for manufacturers focused on product innovation and strategic partnerships. This report provides a detailed analysis of the global Buchner funnels market, a multi-million dollar industry crucial for filtration in various sectors. We project the market size to exceed $250 million by 2025, driven by robust growth in pharmaceuticals and expanding research activities. The report leverages extensive market research, encompassing production data, segment analysis, and key player profiles, to present a holistic view of this dynamic market.

Success.ai’s Advertising Data Leads and Enrichment API provides a powerful, data-driven foundation to optimize your ad spend, refine targeting, and enhance overall ROI. By delivering real-time audience demographics, verified contact information, and platform-level analytics, this API enables you to create highly personalized and impactful campaigns.

Continuously updated data ensures that your strategies remain aligned with evolving market conditions, competitive landscapes, and consumer preferences. Supported by our Best Price Guarantee, Success.ai’s Advertising Data API empowers you to drive stronger engagement, streamline your marketing funnel, and unlock sustainable growth in an increasingly complex advertising ecosystem.

Why Choose Success.ai’s Advertising Data API?

1. Real-Time Audience Demographics

   • Access continuously updated demographic insights—age, location, interests—enabling more precise ad targeting.
   • Enhance personalization and relevance, ensuring your messaging resonates with key audience segments.

2. Verified Contact Information and Lead Enrichment

   • Obtain verified emails, phone numbers, and LinkedIn profiles to connect directly with high-value leads.
   • Shorten sales cycles and improve conversion rates by engaging decision-makers at the right time with the right message.

3. Platform-Level Analytics and Competitive Intelligence

   • Gain visibility into platform-specific performance metrics and competitor benchmarks.
   • Refine bidding strategies, optimize placement, and maximize click-through rates (CTR) across various digital channels.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring your advertising and outreach efforts remain responsible, lawful, and brand-safe.

Data Highlights:

• Real-Time Audience Demographics: Align campaigns with evolving consumer trends and interests.
• Verified Contact Info: Engage leads confidently, reducing wasted outreach and improving conversions.
• Platform-Level Analytics: Compare ad performance, refine budget allocations, and enhance CTRs.
• Best Price Guarantee: Achieve maximum ROI and cost-efficiency on your data-driven advertising strategies.

Key Features of the Advertising Data API:

1. On-Demand Data Enrichment

   • Instantly enhance your CRM or marketing automation platform with accurate audience profiles, removing guesswork and manual data handling.
   • Maintain data hygiene and ensure teams operate with the freshest, most relevant insights.

2. Advanced Filtering and Query Options

   • Query the API using demographic filters, platform preferences, or industry verticals.
   • Zero in on high-potential audience groups, focusing your ad spend where it’s most likely to deliver strong returns.

3. Continuous Validation and Reliability

   • Leverage AI-driven validation to guarantee data accuracy, reducing bounce rates and missed opportunities.
   • Make strategic decisions with confidence, anchored by dependable, continuously updated intelligence.

4. Scalable and Flexible Integration

   • Integrate the API seamlessly into existing workflows, analytics tools, or DSP platforms.
   • Adjust targeting parameters and dataset granularity as your goals evolve, ensuring long-term adaptability.

Strategic Use Cases:

1. Precise Audience Targeting

   • Build lookalike audiences, segment existing customers, and align ad creatives with consumer preferences.
   • Boost engagement by delivering content that resonates with each audience cluster.

2. ABM and Personalized Campaigns

   • Identify key decision-makers within target accounts and deliver tailored messaging.
   • Accelerate deal cycles and improve account penetration by addressing specific buyer pain points.

3. Market Expansion and Product Launches

   • Validate new markets or product lines by analyzing audience readiness, competitor activity, and platform-level success metrics.
   • Refine go-to-market strategies supported by robust, real-time data insights.

4. Competitive Benchmarking and Optimization

   • Compare ad performance, CPC, and CTR against industry standards and competitor campaigns.
   • Continuously refine strategies to gain an advantage in overcrowded and fast-changing markets.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access high-quality advertising data at market-leading prices, ensuring exceptional ROI for your marketing investments.

2. Seamless Integration

   • Easily incorporate the API into your existing ad tech stack, minimizing operational overhead and eliminating data silos.

3. Data Accuracy with AI Validation

   • Rely on 99% accuracy to guide decision-making, refine targeting parameters, and improve conversion outcomes.

4. Customizable and Scalable Solutions

   • Tailor datasets, query parameters, and segmentation criteria to align perfectly with cu...

During a 2024 survey among marketing decision-makers worldwide, around 64 percent of respondents reported tracking their businesses' marketing/sales pipeline as a key performance indicator (KPI). Approximately 64 percent of the interviewees from business-to-consumer (B2C) brands selected marketing/sales funnel. Less than half of overall surveyed marketers included customer lifetime value among their KPIs.

Maximize your business potential with Success.ai's LinkedIn Company and Contact Data, a comprehensive solution designed to empower your business with strategic insights drawn from one of the largest professional networks in the world. This extensive dataset includes in-depth profiles from over 700 million professionals and 70 million companies globally, making it a goldmine for businesses aiming to enhance their marketing strategies, refine competitive intelligence, and drive robust B2B lead generation.

Transform Your Email Marketing Efforts With Success.ai, tap into highly detailed and direct contact data to personalize your communications effectively. By accessing a vast array of email addresses, personalize your outreach efforts to dramatically improve engagement rates and conversion possibilities.

Data Enrichment for Comprehensive Insights Integrate enriched LinkedIn data seamlessly into your CRM or any analytical system to gain a comprehensive understanding of your market landscape. This enriched view helps you navigate through complex business environments, enhancing decision-making and strategic planning.

Elevate Your Online Marketing Deploy targeted and precision-based online marketing campaigns leveraging detailed professional data from LinkedIn. Tailor your messages and offers based on specific professional demographics, industry segments, and more, to optimize engagement and maximize online marketing ROI.

Digital Advertising Optimized Utilize LinkedIn’s precise company and professional data to create highly targeted digital advertising campaigns. By understanding the profiles of key decision-makers, tailor your advertising strategies to resonate well with your target audience, ensuring high impact and better expenditure returns.

Accelerate B2B Lead Generation Identify and connect directly with key stakeholders and decision-makers to shorten your sales cycles and close deals quicker. With access to high-level contacts in your industry, streamline your lead generation process and enhance the efficiency of your sales funnel.

Why Partner with Success.ai for LinkedIn Data? - Competitive Pricing Assurance: Success.ai guarantees the most aggressive pricing, ensuring you receive unbeatable value for your investment in high-quality professional data. - Global Data Access: With coverage extending across 195 countries, tap into a rich reservoir of professional information, covering diverse industries and market segments. - High Data Accuracy: Backed by advanced AI technology and manual validation processes, our data accuracy rate stands at 99%, providing you with reliable and actionable insights. - Custom Data Integration: Receive tailored data solutions that fit seamlessly into your existing business processes, delivered in formats such as CSV and Parquet for easy integration. - Ethical Data Compliance: Our data sourcing and processing practices are fully compliant with global standards, ensuring ethical and responsible use of data. - Industry-wide Applications: Whether you’re in technology, finance, healthcare, or any other sector, our data solutions are designed to meet your specific industry needs.

Strategic Use Cases for Enhanced Business Performance - Email Marketing: Leverage accurate contact details for personalized and effective email marketing campaigns. - Online Marketing and Digital Advertising: Use detailed demographic and professional data to refine your online presence and digital ad targeting. - Data Enrichment and B2B Lead Generation: Enhance your databases and accelerate your lead generation with enriched, up-to-date data. - Competitive Intelligence and Market Research: Stay ahead of the curve by using our data for deep market analysis and competitive research.

With Success.ai, you’re not just accessing data; you’re unlocking a gateway to strategic business growth and enhanced market positioning. Start with Success.ai today to leverage our LinkedIn Company Data and transform your business operations with precision and efficiency.

Did we mention that we'll beat any price on the market? Try us.

A and B. Sub-group analysis of khat and alcohol use by different characteristics in Ethiopia. (ZIP)

BackgroundBasic Life Support (BLS) is a sequence of care provided to patients who are experiencing respiratory arrest, cardiac arrest, or airway obstruction. Its main purpose is to maintain the airway, breathing, and circulation through CPR. This review aimed to estimate the pooled prevalence of Health Professionals’ knowledge and practice on basic life support in Ethiopia.MethodEligible primary studies were accessed from international database (PubMed, Google Scholar, Hinari databases) and grey literatures found in online repositories. The required data were extracted from those studies and exported to Stata 17 for analysis. A weighted inverse-variance random-effects model and Der Simonian-Laird estimation method were used to compute the overall pooled prevalence of Health Professional’s knowledge, practice of basic life support and its predictors. Variations across the included studies were checked using forest plot, funnel plot, I2 statistics, and Egger’s test.ResultA total of 5,258 Health Professionals were included from 11 studies. The pooled prevalence of knowledge and practice outcomes on basic life support in Ethiopia were 47.6 (95% CI: 29.899, 65.300, I2: 99.21%) and 44.42 (95% CI: 16.42, 72.41, I2: 99.69) respectively. Educational status of the Professional’s was significantly associated with knowledge outcome. Those who had degree and above were 1.9 times (AOR: 1.90 (1.24, 2.56)) more likely knowledgeable on basic life support than under degree.ConclusionThe overall pooled estimates of Health Professionals knowledge and practice on basic life support was considerably low. The educational status of the Health Professionals was significantly associated with knowledge outcome. The Health Professionals and responsible stakeholders should focus on the basic life support at Health Institutions. The professionals should advance their knowledge and skill on basic life support for the patients.

Captures hotel and flight booking intent in real time . With millions of data points and cutting-edge technology, delivers location-specific, segmented demand insights. Featuring a unique combination of top-of-funnel sources that aggregates data across OTAs, GDSs, flight data, holidays, alternative lodging and meta review sites data, the solution allows to quickly grasp market demand pre-booking, and get key insights at a glance.

Global Surface Summary of the Day is derived from The Integrated Surface Hourly (ISH) dataset. The ISH dataset includes global data obtained from the USAF Climatology Center, located in the Federal Climate Complex with NCDC. The latest daily summary data are normally available 1-2 days after the date-time of the observations used in the daily summaries. The online data files begin with 1929 and are at the time of this writing at the Version 8 software level. Over 9000 stations' data are typically available. The daily elements included in the dataset (as available from each station) are: Mean temperature (.1 Fahrenheit) Mean dew point (.1 Fahrenheit) Mean sea level pressure (.1 mb) Mean station pressure (.1 mb) Mean visibility (.1 miles) Mean wind speed (.1 knots) Maximum sustained wind speed (.1 knots) Maximum wind gust (.1 knots) Maximum temperature (.1 Fahrenheit) Minimum temperature (.1 Fahrenheit) Precipitation amount (.01 inches) Snow depth (.1 inches) Indicator for occurrence of: Fog, Rain or Drizzle, Snow or Ice Pellets, Hail, Thunder, Tornado/Funnel Cloud Global summary of day data for 18 surface meteorological elements are derived from the synoptic/hourly observations contained in USAF DATSAV3 Surface data and Federal Climate Complex Integrated Surface Hourly (ISH). Historical data are generally available for 1929 to the present, with data from 1973 to the present being the most complete. For some periods, one or more countries' data may not be available due to data restrictions or communications problems. In deriving the summary of day data, a minimum of 4 observations for the day must be present (allows for stations which report 4 synoptic observations/day). Since the data are converted to constant units (e.g, knots), slight rounding error from the originally reported values may occur (e.g, 9.9 instead of 10.0). The mean daily values described below are based on the hours of operation for the station. For some stations/countries, the visibility will sometimes 'cluster' around a value (such as 10 miles) due to the practice of not reporting visibilities greater than certain distances. The daily extremes and totals--maximum wind gust, precipitation amount, and snow depth--will only appear if the station reports the data sufficiently to provide a valid value. Therefore, these three elements will appear less frequently than other values. Also, these elements are derived from the stations' reports during the day, and may comprise a 24-hour period which includes a portion of the previous day. The data are reported and summarized based on Greenwich Mean Time (GMT, 0000Z - 2359Z) since the original synoptic/hourly data are reported and based on GMT.

The risky business of mate-searching often leaves the actively searching sex facing threats and rapidly changing conditions. Yet, active mate-searching behaviour is rarely studied in invertebrates, and we have limited understanding of how mate-searching strategies have evolved to cope with risks posed by harsh weather. We investigated how mate-searching males move through their habitat and how their movement is affected by weather conditions in the Sydney funnel-web spider (Atrax robustus), one of the world’s most venomous spiders. As is common in mygalomorphs spiders, females are functionally sessile, and are thought to spend their whole lives in a single burrow, whereas males must permanently abandon their burrows to mate during the breeding season. Nineteen male spiders were fitted with micro-radio transmitters and tracked during their mating seasons in 2020 (n = 2), 2021 (n = 8) and 2022 (n = 9) in Lane Cove National Park, in Sydney, Australia. Males moved at night, typically in a zig-zag pattern, and were found in new locations on approximately 50% of daily resighting’s. Males often spent several days in a female’s burrow, and some female burrows were visited by multiple males. When outside a female’s burrow, males constructed and occupied temporary shelters (‘temporacula’). Males were most likely to move and/or moved furthest when there was no rain, and on warm nights after cool days. Our findings suggest that mate-searching A. robustus males prefer to search for females in less risky conditions, revealing novel risk-minimizing strategies, especially in response to rainfall and temperature. Methods Collection of wild spiders This study was conducted on Eora and Kuring-gai (also Guringai) Nations’ lands. Individual male Atrax robustus specimens (n = 19) were collected between February and April of 2020 (n = 2), 2021 (n = 8), and 2022 (n = 9), from Lane Cove National Park (-33.761, 151.106), Sydney, Australia. To collect males, trips on foot after 8pm AEST were made along multiple fire trails within the national park. Males were spotted on and alongside the fire trail in undergrowth and upon elevated roadside banks. Collecting individuals involved placing an open 500ml plastic container over the top of the spider, then encouraging the spider to walk into the container using the lid. Once collected, we labelled the location using flagging tape and saved the GPS location of each individual using a Garmin GPSMAP 62sc. Transmitter attachment We used model T15 micro-radio transmitters (Advanced Telemetry Systems, Gold Coast, Qld., Australia) to tag spiders (Figure 1). The T15 transmitters weigh 0.15 grams and are 3.4mm x 11mm for the main body (Figure 1 A) plus a 150mm flexible antenna. Transmitters had a battery life of approximately 30 days. Two ATS R410 scanning receivers with a 3-element folding yagi directional antenna were used to locate individuals with transmitters. At first capture, individuals were taken back to the lab at UNSW Sydney and photographed inside their container. In 2022, males were also weighed using a HT-120 compact balance (A&D Ltd., Thebarton, SA, Australia). Individuals were given a minimum of 12 hours to settle and were provided with water ad libitum before the transmitter was attached. Each ATS T15 transmitter was switched on using the ATS T15 controller app immediately prior to attachment to avoid battery life wastage. To attach the transmitters, each individual spider was placed into a 500ml plastic container with holes drilled into the sides and lid (Figure 1 B). A damp sponge was placed in the bottom of the container to ensure individuals did not desiccate. Once the individual was transferred to the container, the container was placed into a sealed plastic bag, which was then filled with CO2 gas and sealed off for three minutes or until the individual was lethargic and easily manoeuvrable. The individual was them moved using forceps to the centre of the sponge (location marked with an X in Figure 1 B), and a second sponge (cut into a ring shape with a Perspex plate around the outside and two dowel rods attached to it) was placed over the top of the individual to expose the cephalothorax but restrain the legs and abdomen (Figure 1 B). A blunt size 28 tapestry needle was then used to smear a small amount of 430 Loctite super glue (Henkel Corp., Ohio, USA) onto the cephalothorax and then onto the transmitter itself. Using fine point forceps, the transmitter was placed onto the cephalothorax and held there for approximately 15 seconds until the glue set. The cephalothorax was chosen as the site of transmitter attachment because it is a non-porous sclerite, whereas the abdomen is a membranous structure that expands and retracts and thus attempting to attach the transmitter on it would injure the spider. The top sponge was then removed, and the spider remained in the container for 30 minutes to allow the glue to cure further. The spider was then moved into its original container and allowed to recover for a minimum of 12 hours. During CO2 exposure, the spiders did not elicit any signs of discomfort (Dombrowski et al., 2013). Each spider recovered normally in a dimly lit, quiet environment, and subsequent behaviour during the recovery period appeared normal. Only one fatality occurred using this procedure due to excess glue being applied. This individual was humanely euthanised using CO2. All other individuals were released in the location where they were found 12 – 48 hours after the transmitter was attached in the lab. In three cases, individuals were kept in the lab for seven days as they were collected immediately prior to the field site flooding and to ensure a safe release and safe field practices, we allowed extra time after the flood had passed. Tracking of tagged spiders in the wild Individuals were tracked one at a time every day using the receiver and antenna, unless extreme weather events prevented entry into the National Park. We recorded details of each individual on every day that they were tracked once the location of an individual was narrowed down to < 1 square meter or the individual was sighted. In each case, we recorded a GPS coordinate and secured labelled flagging tape to foliage where the spider was located. We next measured the distance between the previous and current location (“nightly distance moved”) using a retractable 60 m measuring tape. If individuals were tracked to the same location and had not moved, this was recorded as a nightly distance moved of 0 m. If an individual had not moved and had not been physically sighted after three days, the site was thoroughly examined to ensure the transmitter had not dislodged or that the individual had not died. All males were tracked until either their transmitters dislodged (n=15), the transmitter ran out of battery (n=2), or the spider was found dead (n=2). The number of days of tracking and number of observations for each individual spider are shown in Table 1. If males were tracked into a burrow, the GPS coordinates of the burrow were recorded, and the individuals were left undisturbed. All males that were tracked into burrows subsequently re-emerged from the burrows. Statistical analysis

All statistical analyses were conducted using R version 4.3.1 (2023). Information on plant community types was obtained from the NSW State Vegetation Type Map (State Government of NSW and NSW Department of Climate Change, Energy, the Environment and Water, 2022) then layered over maps (configured in QGIS 3.30.3) containing data on GPS locations for individual spiders. Temperature and rainfall data were obtained from The Australian Government, Bureau of Meteorology (Australian Government, Bureau of Meteorology, 2023). The data consist of minimum and maximum temperature and rainfall in all forms of precipitation recorded at 9am AEST, and therefore represent weather conditions for the preceding 24 hours. Total distance travelled over the course of the season was calculated for each spider as the sum of its nightly movement distances, and the mean nightly movement distance was calculated by dividing the total distance by the number of nights when the spider moved to a new location. In addition, we estimated the linear projection (“displacement”) of each spider’s movement over the course of the season by measuring the distance between the first location of capture and the last location recorded in QGIS. To calculate how far on average each male moved per night away from the initial place of capture, we divided displacement by the number of nights between the date of release and the date of final observation (“mean nightly displacement”, Table 3). To quantify the linearity of movement, we then divided displacement by the total distance travelled (“displacement ratio”, Figure 2, Table 3). The displacement ratio would equal 1 if the spider moved in a straight line away from its location of capture, and 0 if the spider circled back around to its initial capture location. Because we had data on cephalothorax length and weight for different sub-sets of males, we tested for effects of both spider body weight and cephalothorax length (measured once at first capture) on mean nightly movement and mean nightly displacement using Pearson correlation analyses. Effects of environmental factors on nightly movement were analysed in two steps. First, we modelled a binomial variable (moved/not moved) to investigate the factors that affected whether spiders moved or stayed in the previous night’s location. Next, for spiders that had moved since the previous observation, we modelled a continuous (Gaussian) variable (nightly distance moved in m) to investigate the factors that affected how far spiders travelled while they were searching for mates. The binomial and Gaussian models both contained the following environmental parameters as fixed effects: daily rainfall (mm), nightly minimum temperature (ºC),

Characteristics of studies included in the final analysis.