Places Of Interest Research Articles

Effective warm‐ups in the German‐language classroom: Form and function

AbstractThis article explores three questions developed to be central to the creation and implementation of an effective classroom warm‐up: Does it help jumpstart students’ use of German? Can it capture students’ attention? And does it encourage building rapport through providing opportunities for personal expression or relevance? Based on my experience as an instructor for the first and second semesters of the German language sequence at the University of Illinois at Urbana‐Champaign, I argue that a well‐constructed warm‐up in a German language course is more than a low stakes invitation to cultivate a mindset conducive to the demands of language learning; it is an opportunity to begin learning from a place of genuine interest, trust, and confidence. By implementing warm‐ups with the guidelines outlined in this article in mind, mnemonically referred to as JARR (Jumpstarting language use, capturing Attention, and building Rapport through Relevance) warm‐ups, instructors can set students up for success not only for the next hour of learning, but also for their entire language journey—all in the first 5 minutes of class.

A spatial analysis of mental health-related calls for service in Atlantic City, New Jersey

ABSTRACT Objective Police officers often find themselves responding to calls that do not involve criminal behavior, but calls related to individuals experiencing emotional distress or mental illness that requires police response. This research aims to identify high-risk places of mental health calls for service (MHCFS) in an urban setting and compare place features of these locations by police response (locations where a CIT-trained officer is dispatched versus a non-trained officer dispatched). Data/Methods Our research uses Atlantic City Police Department’s calls for service data from 1 January 2019 through 30 December 2022, including the incidents of mental incompetence with location components. After removing the calls that were not coded as mental health, a total of 2229 incidents involving perceived mental illness were geocoded and compared. We used RTMDx software to generate risk terrain models for MHCFS in Atlantic City, NJ. Findings The RTM analysis yielded no association between places of interest and MHCFS for calls involving non-CIT-trained officers. Yet, we identified five high-risk activity spaces of MHCFS where officers with CIT training were involved. Grocery stores (RRV = 2.873), places of leisure (RRV = 2.764), Health & Wellness Facilities (RRV = 2.624), Eateries & Restaurants (RRV = 2.547), and Convenience & Variety Stores (RRV = 2.280) are the risk factors identified by the RTM analysis. Given the characteristics of places identified by risk-terrain modeling, we reason that the characteristics of these places indicate that individuals experiencing perceived or actual mental health problems hang out in spaces with ease of access and in spaces where they can stay relatively longer with minimal attention. Conclusion Our research suggests that there is an association between spatial factors and MHCFS that are responded to by CIT-trained officers. City officials should consider deploying additional resources and mental health staff to these places to address the issue of mental health in urban settings. Future research should consider testing whether the places we identified in our analysis are also high-risk places for MHCFS in other urban environments.

Использование робот-ассистированных трепан-биопсий забрюшинных опухолевидных образований под контролем мультиспиральной компьютерной томографии

Various types of tumors, both benign and malignant, can be localized in the retroperitoneal space, which can develop not only in retroperitoneal organs, but also originate from nerves, connective or lymphatic tissue. Their pathomorphological diagnosis is relevant for the appointment of adequate treatment. There is a technique of percutaneous core-biopsy of such formations under the control of multispiral computed tomography, most often carried out by the "free hand" method. However, high radiation exposure not only to the patient, but also to the interventionist doctor are its negative sides. The author has developed a robotic device that automatically inserts a biopsy needle into the "place of interest". It was used for diagnostic punctures in the retroperitoneal space in 24 patients. In the control retrospective group, punctures were performed using the "free hand" method in 20 patients. The authors reveal an enhancement of the accuracy of puncture in the main group, a reduction in the amount of complications and of the duration of manipulation. The latter, along with the exclusion of radiation exposure to medical personnel, made it possible to reduce it on the subject.

Comparison of the definite article in Gothic and Greek: a case study of the Gospel of Mark

This paper examines the usage of the definite article in the Gothic version of the Gospel of Mark and its parallel Greek counterpart, which served as the foundation for the Gothic translation. While the Gothic text is often considered a literal reflection of the Greek text, our analysis reveals significant differences between the two languages, particularly concerning the definite article. These disparities extend beyond mere quantity and encompass variations in grammatical cases, namely nominative, genitive, dative, and accusative. The analysis of the Gospel of Mark yields the following overall perspective. In 421 instances (equivalent to 20.83% of the total 2021 attested places of interest), Gothic mirrors Greek by employing definite articles in the same positions as Greek. Moreover, in 737 instances (equivalent to 36.46% of the total 2021 attested places of interest), Gothic aligns with Greek by omitting definite articles where Greek does not use them. Notably, out of the total 2021 instances of interest in the Gospel of Mark, Gothic omits the definite article 863 times where Greek includes it, accounting for 42.70% of the total instances. Specifically, at Gothic parts of speech (usually nouns) appearing in the nominative case, the article is omitted 241 times (27.92% out of 863), in the genitive case 117 times (13.55% out of 863), in the dative case 248 times (28.73% out of 863), and in the accusative case 257 times (29.77% out of 863). Taken together, in 1158 instances (57.29% of 2021) Gothic faithfully follows Greek, either by employing definite articles (421 instances) or by omitting them (737 instances) in corresponding positions, whereas in 863 instances (42.70% of 2021) Gothic deviates from Greek by not using definite articles in corresponding positions. To facilitate our study, we have created a manually annotated corpus of the Gothic Bible since existing corpora of Gothic do not adequately address this phenomenon. Thus, like our previous investigations, this empirical study relies on a corpus-based analysis.

Issues on Tourism and Destination Management in Karnali Province, Nepal

This paper argues that numerous tourist destinations exist in the developing zone of Nepal, particularly in the Karnali province. Many florae and fauna are available in the zone that the panoramic tourist products ever tempt the visitors, which demand for intensive studies of culture, livelihood and public dynamics. Several hills, peaks and mountains in this zone attract tourists and create pressure to the concerned authority to take right actions on time. Several places of interests in different parts of the area still need appropriate management, which would produce the best income resources for the state to invest in the development sectors. This is the productive realm of medicinal herbs that the users still use it irrationally throughout the territory without appropriate workforce. The data were collected from 33 respondents with key informant interview, focus group discussion and personal communications. The invaluable resources available in this area are of multiple significance which export would bring huge amount for financial reservoir of a country. For comprehensive development of the region tourism, hydropower, medicinal herbs, rafting, paragliding, nature, ethnic tourism are the best means for knowledge creation there as well. The responsible state authorities must take appropriate steps in managing the multiple issues through public participation in order to convert the recent status of the territory.

Factors Influence of Residents to Work Abroad (Case Study: Klungkung Regency, Bali Province, Indonesia)

The purpose of this study was to determine the factors that influence residents to work abroad. The data used in this study are primary data obtained by distributing questionnaires to residents of Klungkung Regency who work abroad. Factor analysis is used to analyze the research data. The research variables include: limited employment opportunities, low in-come in the area of origin, opportunities to get better income, wide and diverse employment opportunities, encouragement from parents, getting better education/skills opportunities, the existence of interesting activities or places in the destination area, invitations from relatives or siblings, many family members in the destination country, transportation costs, living costs, and other costs that are obstacles to the destination area, the distance between the area of origin and the destination area is an option in choosing the destination country. The results of the study showed that there were three factors that in-fluenced respondents to work abroad, these factors were: 1) economic factors with an eigenvalue of 2.373 and a variance of 29.665%, 2) individual factors with an eigenvalue of 1.956 and a variance of 24.445%, 3) destination factors with an eigenvalue of 1.281 and a variance of 16.013. The total variance that could be explained from the three factors formed was 70.124%. The most influential dominant factor was the economic factor which was able to explain 29.665%.

Assessing the Distinctive Character of a Sign Referencing a Place of Interest

Assessing the Distinctive Character of a Sign Referencing a Place of Interest

Exploring the Benefits and Challenges of Tourism in Outer Space

Purpose: This article primarily explores the benefits and challenges of outer space tourism and also makes the case that a new international convention is desperately needed since the space tourism business cannot be supported by the current legal framework. Methodology: This research will be carefully conducted by providing an overview of the history space tourism. The concept will be understood by a survey of the literature on the types of space tourism, and the theories of space tourism. A thorough analysis will be carried to analyze the benefits and legal challenges of space tourism and also identify the gaps in the international space law framework that pertain to space tourism. The essay used papers from conferences, academic books, and articles. Findings: Man has always been a curious creature, eager to discover and visit new and interesting places. Since the beginning of the space age, the prospect of conducting open space missions has been a secret agenda item for the spacefaring nations. The next logical step for tourism might be space travel. Space tourism seeks to provide easy access to thrilling destinations for leisure and adventure. People are constantly seeking for new places to visit. People aspire to transcend boundaries and travel beyond, even to the heavens. Unique Contribution to Theory, Practice and Policy (Recommendations): Even though space tourism has many advantages, getting to space presents new commercial, legal, and technical difficulties as well as advances. The booming space tourism business cannot be supported by the current space law regime because "the backbone of international space law” is too inflexible to be a stabile basis for space tourism The advantages of space tourism, the difficulties it presents in the age of commercialization, and the policies and governance that must be in place for space travel to be effective are all covered in this article.

LEVERAGING WEB SCRAPING TO GATHER TOURISM INFORMATION DATA

The influence of Information and Communication Technologies (ICT) on both individuals' daily lives and the economy is of significant importance. In this context, the tourism industry plays a crucial role, and it is essential to recognise the contributions of tourists in terms of sharing their experiences through tourism websites. Analysing this data is key to improving future tourists' experiences. Therefore, the objective of this study is to employ web scraping to gather data on places of interest (POI) and user attributes, specifically in the state of Melaka via the TripAdvisor website. Melaka is chosen as it is one of the places recognised by the United Nations, Educational, Scientific and Cultural Organization (UNESCO). The study focuses on the 200 POI locations (UNESCO) Map, encompassing both Melaka's core and buffer zones. These POIs are categorised into four heritage types: built heritage, natural heritage, personal heritage, and living heritage, with some belonging to more than one category. For the data collection process, this study utilised the TripAdvisor website and extracted a total of 14 attributes. Specifically, 27282 user data entries were collected from 163 POIs in the core zone area, and 8305 data entries from 37 POIs in the buffer zone area. The data is managed and stored in various formats, including CSV, JSON, and Excel files in the repository. The data helps in the development of a tourism application. Furthermore, the tourism industry can benefit from this study by enhancing their services and conserving the cultural heritage.

Exploring Historical Monuments and Learning History through an Augmented Reality Enhanced Serious Game

Theoretical subjects, such as history, usually do not attract the interest of students and as a result educational games and serious games that use augmented reality (AR) are increasingly used as a means of supporting education. It is believed that these games can make the lesson more engaging and contribute to improving student performance. However, relevant research is limited. The present research presents the AR-enhanced serious game “Exploring Ancient Greece” that aims at supporting 10- to 14-year-old students in learning the history of Ancient Greece. It consists of three levels that include: a presentation of archaeological sites with AR that gives students the chance to explore places of historical interest; a trivia game that includes an AR presentation of a monument or piece of art somewhere in the physical surroundings of the students; and an escape room where the player is trapped in an archaeological site and tries to solve riddles to find the exit. To evaluate the game, an empirical study was conducted involving students between the ages of 10 and 14 who answered knowledge questions before and after playing the game, completed a questionnaire including questions based on the System Usability Scale (SUS), as well as questions for evaluating their experience, and answered oral questions. Based on the results of this study, students improved their knowledge of history, evaluated the game positively and stated that they prefer the use of serious games and AR in education.

Integration and Development of Places of Interest and Modernized Architecture in Urban Planning

Integration and Development of Places of Interest and Modernized Architecture in Urban Planning

Enhancing the estimation of direct normal irradiance for six climate zones through machine learning models

The evaluation of solar radiation is essential for large-scale solar energy systems, as assessing economic feasibility early on depends on accurate solar radiation data. Accurate sensors are needed to characterize the solar resource. Due to a scarcity of solar radiation data, numerical models are commonly used to estimate solar radiation components using meteorological variables that are simple or cheap to measure. In recent years, the use of machine learning (ML) algorithms has gained significant popularity in the estimation of solar radiation components. In this study it is proposed a post-processing approach using the separation model outcomes as input variables to estimate the diffuse fraction. Three ML models are employed (XGBoost, Random Forest, and Multilayer Perceptron) to boost the accuracy in terms of three statistical indicators: nRMSE, nMBE, and R2. The employed technique takes a distinctive approach by using reference stations to train the machine learning models and, afterward, make the assessment at the site under study. The results show an improvement in terms of precision of individual separation model outcomes. Thus, the proposed methodology may serve as a reliable approach for estimating solar radiation components in cases where historical data for a specific place of interest is not accessible.

Cultural tourism as a factor in the sustainable development of rural areas

The article considers cultural tourism as a factor of sustainable development of rural areas on the example of the Ust-Aldansky district in the Republic of Sakha (Yakutia). The main factor in this development is the historical and cultural heritage, which contributes to the attractiveness of the area. The object of the study is cultural tourism, the subject is the specifics of its development in the regions of new development on the example of the Ust-Aldansky district, Republic of Sakha (Yakutia). A brief analysis of the concept and features of cultural tourism is given. The relevance of the research is due to the need to study the specifics of the development of cultural tourism in the Ust-Aldansky region. The development of the tourism industry in this region involves, first of all, the effective use of tourism resources. Museum collections are of particular importance in the development of cultural tourism. One of the interesting places to visit is the Ust-Aldan Regional Museum of Local Lore. The museum’s expositions allow guests to plunge into the history of this place of Yakutia and better understand its unique cultural and historical heritage. Cultural and historical heritage is a term that designates many similar types of tourism, including historical, religious, ethnic, folklore, anthropological, event, artistic, museum and architectural. All of them are «culturally oriented» because they are connected by common interests and motives of travelers, as well as the use of common cultural and historical resources. Recommendations have been developed to improve cultural tourism in order to promote the work of the museum.

Recommendation System for Sustainable Day and Night-Time Cultural Tourism Using the Mean Signed Error-Centric Recurrent Neural Network for Riyadh Historical Sites

To accommodate user-specific requirements and preferences, a travel Recommendation System (RS) gives a customized place of interest. The prevalent research did not provide solutions to some essential situations for cultural tourism, including relevant time, environmental conditions, and stay places. Thus, the existing RS models led to unreliable cultural tourism recommendations by neglecting essential factors like personalized itineraries, environmental conditions of the cultural sites, sentiment analysis of the hotel reviews, and sustainable cultural heritage planning. To overcome the above factors, a day- and night-time cultural tourism RS utilizing the Mean Signed Error-centric Recurrent Neural Network (MSE-RNN) is proposed in this paper. The proposed work develops an efficient RS by considering historical data, Geographic Information System (GIS) map location, hotel (stay place) reviews, and environmental data to access day and night cultural tourism. First, from the Geographic Information System (GIS) map and hotel data, the historical and hotel geolocations are extracted. Currently, these locations are fed to Similarity-centric Hamilton Distance-K-Means (SHD-KM) for grouping the nearest locations. Next, hotels are ranked utilizing the Tent Mapping-centric Black Widow Optimization (TM-BWO) approach centered on the locations. In addition, using Bidirectional Encoder Representations from Transformers (BERT), the essential keywords from the historical geo-locations are embedded. In the meantime, the sites’ reviews and timings are extracted from Google. The extracted reviews go through pre-processing, and the keywords from the pre-processed data are extracted. For the extracted keywords, polarity is calculated centered on the Valence-Aware Dictionary for Sentiment Reasoning (VADER). Concurrently, utilizing the Reference-centric Pearson Correlation Coefficient (R-PCC), the timings of the sites are segregated. Lastly, for providing a recommendation of tourist sites, the embedded words, ranked hotels, and segregated timings, along with the pre-processed environment and season data, are fed to the MSE-RNN classifier. At last, the experimental evaluation verified that other recommendation systems were surpassed by the proposed approach.

Mangalam Organics Limited: making camphor grow innovatively

Learning outcomes The case study will provide an opportunity for students to identify the challenges a business-to-business (B2B) organization in a commodity product category faces in a growing environment. The students will learn to analyze and evaluate different strategies for growth and profitability. The students will be equipped to make decisions based on financial and nonfinancial data and the trade-offs therein. The case study will enable students to understand the application of the concept of operating leverage in different business conditions. Case overview/synopsis The leadership team at Mangalam Organics Limited (MOL) was worried about the company’s future in December 2021. The chief strategy officer (CSO), Akshay Dujodwala; the chairman, Kamal Dujodwala and the managing director, Pankaj Dujodwala had watched MOL go through many ups and downs. MOL manufactured camphor powder and supplied it to tableters [1], who would convert it into tablets, essentially used for Puja [2] purposes in India. Camphor was a white, waxy terpenoid with a strong aroma. It was mainly a commodity business with no pricing power when MOL supplied it in bulk to tableters. They had ventured into the business-to-customer (B2C) [3] space with their consumer brand “Mangalam” camphor tablets, positioned for religious uses in homes. However, this formed a very small percentage of their turnover. With thin margins and a low growth rate, it was difficult for MOL to sustain and grow, especially in the B2B [4] business. To make matters worse, their manufacturing unit caught fire in 2015, causing a major blow to their business. Under the leadership of their CSO, Akshay, they implemented strategies that helped the company bring down costs and wastage. Akshay helped MOL diversify further into the B2C market through their brands, “CamPure” for home care products and “Cam+” for health-care products. Huge expenditures on marketing and advertising were incurred to promote these brands. The COVID-19 pandemic watched the world go through a terrible phase with lockdown and rising health issues (both physical and mental). Camphor found an interesting place in immunity and religious purposes due to its aromatherapy properties and evoking feelings of relaxation. The newfound use helped MOL achieve an unexpectedly higher turnover. But Akshay knew that camphor, by itself, was fickle in providing profitability. To sustain growth post-COVID-19, MOL would urgently need to look for growth options. After giving it a lot of thought, he was faced with three options – he could either focus on CamPure as a B2C option, or concentrate completely on camphor powder and aroma as an existing B2B option or take the third option to go in for a first of its kind exclusive stores for all types of puja items called Pooja Sangam. While all these options had their own pros and cons, he had to now decide which was the best financially viable option for MOL as a way forward. Complexity academic level The case study is designed at the postgraduate level in an Master of Business Administration and executive education programs. Given the nature of the issues in the case study, it can be included in courses such as business strategy and strategic marketing. Supplementary materials Teaching notes are available for educators only. Subject code CSS 8: Marketing.

Deep Learning Based Partial Face Recognition System

It's attempting to change and perceive your face in an uncontrolled setting. Late examinations have shown that significant learning techniques succeed on these two tasks. significant streamed play out various errand’s structure, which uses the inherent relationship among plan and distinguishing proof to further develop execution. Specifically, our strategy predicts face and achievement circumstance in a coarse-to-fine way using a three-layered streamed designing of especially arranged significant convolutional networks. Reassuringly, our response outmaneuvers the state-of-the-art techniques before long beating the benchmark and dataset for testing midway face area, persistent execution, and bothering tatted facial places of interest in the wild for face plan and partial face ID, as well as the Greater FACE benchmarks for midway face revelation. In this assessment our work is to encourage a structure for face recognizable proof and affirmation in the continuous. That will be capable and offer response for certain issues. Key Words: Convolutional Neural Network, deep Learning, Image Processing.

The Use of the Difference Table to Help Deaf Students Write Bahasa Melayu Essays on Interesting Places to Visit

essay writing contributes to 50% of the marks in Bahasa Melayu Penulisan examination. Consequently, the students are at risk of losing a significant portion of the marks if they are not able to write the essays. The difficulties of deaf students to write Bahasa Melayu essays on Interesting Places to Visit are issues of interest in this study. This research involves four students studying in year six at a Special Education School in Seremban, Malaysia. The subjects are expected to adhere to specific criterias in writing an essay on visiting Kuala Lumpur which has been taught in the previous lesson. This research examines the effectiveness of the difference table technique in assisting deaf students to write Bahasa Melayu essays on interesting places to visit. This technique is found to have enhanced the writing skills of the students to write essays of the same theme with different places. The improvement in scores and the skill level achieved by each student proves the effectiveness of this technique.

Exposure to Technology and Social Media: A Study of Generation Z's Consumerist Culture in South Jakarta

This study investigates the cultural phenomenon of Generation Z consumerism in South Jakarta. Generation Z is one group that is highly exposed to the influence of social media and technology in the era of globalization and technological progress. This influence impacts the way they think and behave in terms of consumption. South Jakarta, a lively and representative city, is an interesting place to find out how consumerist culture influences the daily lives of the younger generation. The method used in this writing is by observation participatory and literature study with secondary data obtained from journal search websites such as Google Scholar and Scopus. To make it easier to search for data, the author also uses the Harzing: Published or Perished application. The relevant data is then converted into RIS data via the Mendeley Application. The RIS data is then reprocessed using the Vosviewer application, which is software that displays data visualizations containing the most research articles on culture. Generation Z consumerism. In writing an article this is what readers expect can understand how this consumerist culture not only creates specific shopping patterns but also influences the outlook on life and values believed by Generation Z. With a deeper understanding of the complex interactions between technology, social media, and consumerist culture, it is hoped that this research can provide contribution to sociological literature, especially in the context of social change caused by generational dynamics amidst urban development.

Plant Collection with the Kedarnath Parbat Expedition

The paper gives an account of the collection of plants made by the author who was a botanist member of the Kedarnath Parbat Expedition organised by the Gangotri Exploration Committee, Calcutta in Sept.-Oct., 1967. The area under study lies between 30°80'-31°25'N and 78°60'-79°45'E and includes the Bhagirathi valley, Gangotri glacier, Tapovan, Sivalinga Base, and the glacier regions around the Kedarnath Dome, covering an altitude range of 1500 m to 5500 m. During the stay with the expedition nearly 1375 specimens comprising 187 species of flowering plants, 6 species of Gymnosperms and 8 species of Pteridophytes were collected. Notes on the places of special interest are also incorporated in brief in the paper.

Pendampingan Edukasi Kopi Robusta Bagi Siswa PKL SMK – PP Ambon di CV. Kopi Citarasa Persada

CV.Kopi Citarasa Persada operates in the field of educational agrotourism and explains the processing of coffee and its derivatives. Support is provided to support this educational agrotourism activity. The aim of this support effort is to make the company an educational tourism destination for coffee production and utilize the potential of coffee raw materials in Tutur District to provide knowledge about coffee to various groups ranging from children to adults. An aspect that differentiates CV. Kopi Citarasa Persada is a comprehensive approach to coffee processing from upstream to downstream. They have developed educational tours that allow visitors to experience firsthand the process of growing Robusta coffee. There are several interesting locations in this educational tour. Educational tourism support activities at CV. Kopi Citarasa Persada offers a variety of experiences in interesting places with a variety of knowledge gains. This educational tourism support has had a positive impact, especially for pkl students. You will expand your knowledge about the history of Robusta coffee cultivation and understand the processing process of ground coffee and its various derivative products in more detail.