bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Grid Search and Hyper Parameter Tuned Pipeline with Various
Classifiers and PCA for Breast Cancer Detection
Authors: Chaudhury Sushovan , Sau Kartik , Shelke Nilesh , Rashid Zahraa M. 
Published: July 2022

Background:
The study of breast cancer detection begins with the WBCD dataset for most researchers, as it is a very well-known dataset. We use this dataset as a benchmark in this paper to study ML algorithms like SVM, DT, RF, KNN, NB classifiers, Logistic Regression, Extra Trees, Bagging Classifiers with hard and soft voting, Ensemble techniques and Extreme Gradient Boosting classifiers like XG Boost and 2 deep learning models with regularization and without regularization.

Objective:
The primary objective is to revisit how the existing classifiers fare with the WBCD dataset and suggest a method with Grid search and Randomized search by selecting the best hyper-parameters to apply with and without PCA and check if WBCD dataset can be classified in lesser time without compromising accuracy.

Method:
We explore PCA as a feature extraction technique in this dataset and use techniques like Feature Scaling K Fold stratified cross-validation technique, K best etc. We implement Grid search CV along with PCA in the pipeline to tune the hyper parameters across various classifiers and reduce the training and prediction time without compromising accuracy. Last but not the least, this paper also compares the accuracy, precision and recall of various ML techniques for manually selected features by observing the feature importance score and the correlation matrix.

Results:
In our experiment with all features, we get an accuracy of 97.9 per cent for Extra trees and Ensemble techniques with RF, KNN and Extra Trees with soft voting strategy and using feature selection with PCA and grid search we get an accuracy of 99.1 per cent with SVM (kernel trick). We also demonstrate that the running time of training and prediction also reduces if hyper parameters of classifiers are tuned appropriately which is taken care of by Grid and Randomized Hyper Parameter Grids.

Conclusion:
It is shown in this paper that Feature subset selection or feature ranking may not be the best way and not the only way to be applied on WBCD dataset along with PCA. In datasets where features are closely correlated , a method for hyper parameter tuning using either Grid or Randomized Search can be accompanied with PCA to extract the best feature combinations and then fed into the classifiers to get good accuracy scores and can be executed in a much quicker time.
Wearable Devices in Diving: Scoping Review
Authors: Bube Benjamin , Zanón Bruno Baruque , Lara Palma Ana María , Klocke Heinrich 
Published: July 2022

Background
Wearables and their benefits for the safety and well-being of users have been widely studied and have had an enormous impact on the general development of these kinds of devices. Yet, the extent of research into the use and impact of wearable devices in the underwater environment is comparatively low. In the past 15 years, there has been an increased interest in research into wearables that are used underwater, as the use of such wearables has steadily grown over time. However, there has so far been no clear indication in the literature about the direction in which efforts for the design and construction of underwater wearable devices are developing. Therefore, the analysis presented in this scoping review establishes a good and powerful basis for the further development and orientation of current underwater wearables within the field.

Objective
In this scoping review, we targeted wearable devices for underwater use to make a comprehensive map of their capabilities and features and discuss the general direction of the development of underwater wearables and the orientation of research into novel prototypes of these kinds of devices.

Methods
In September 2021, we conducted an extensive search for existing literature on 4 databases and for grey literature to identify developed prototypes and early-stage products that were described and tested in water, could be worn and interacted with (eg, displays, buttons, etc), and were fully functional without external equipment. The studies were written in English, came from peer-reviewed academic sources, and were published between 2005 and 2021. We reviewed each title and abstract. The data extraction process was carried out by one author and verified by another author.

Results
In total, 36 relevant studies were included. Among these, 4 different categories were identified; 18 studies dealt primarily with safety devices, 9 dealt with underwater communication devices, 7 dealt with head-up displays, and 2 dealt with underwater human-computer interaction approaches. Although the safety devices seemed to have gained the most interest at the time of this study, a clear trend toward underwater communication wearables was identified.

Conclusions
This review sought to provide a first insight into the possibilities and challenges of the technologies that have been used in and for wearable devices that are meant for use in the underwater environment. Among these, underwater communication technologies have had the most significant influence on future developments. Moreover, a topic that has not received enough attention but should be further addressed is human-computer interaction. By developing underwater wearables that cover 2 or more of the technology categories that we identified, the extent of the benefits of such devices can be significantly increased in the future.
О старицком храмоздательстве в XVII веке
Authors: Салимов Алексей 
Published: July 2022

На протяжении столетий обилие залежей белого камня (известняка) в Старице и её окрестностях делало этот город поставщиком данного строительного материала в различные земли нашей страны. Эти природные возможности Старица в полной мере использовала в средневековье, когда являлась вторым по значению городом Тверского княжества, а затем важным цен­тром в структуре Московского государства. В итоге в конце XIV - XVI веках здесь было выстроено несколько каменных храмов, художественные достоинства которых позволяют поставить их в один ряд с лучшими творениями зодчих Древней Руси.
После Смуты начала XVII века строительство каменных зданий в Старице надолго замирает. Позже оно возобновля­ется, но ведут его только в монастырях, поскольку Старицкий кремль в этот период - это постепенно пустеющая террито­рия с ветшающей и быстро разваливающейся крепостью. Наиболее ранней каменной постройкой XVII столетия стал собор Вознесенского монастыря. Созданный в середине века, возможно, не без участия царской фамилии, этот храм стилистически, по всей видимости, был близок московским культовым постройкам первой половины - середины XVII века с их богатым фасадным узорочьем.
Пожар, уничтоживший в 1681 году значительную часть застройки в старицком Успенском монастыре, способствовал тому, что в 80-е - 90-е годы XVII века здесь было выстроено несколько каменных корпусов, новая соборная колокольня и надвратная церковь Иоанна Богослова. Её объёмно-простран­ственная композиция «восьмерик на четверике» стала олицетворением тех новаторских архитектурных процессов, которые способствовали появлению на Руси нового типа храма.

* Исследование выполнено за счёт средств государственной программы Российской Федерации «Научно-технологическое развитие Российской Федерации» на 2021-2030 годы в рамках Плана фундаментальных научных исследований РААСН и Минстроя России на 2022 год, тема 1.1.2.3. Церковная и гражданская архитектура последней трети XVII - первой половины XVIII столетия (Москва и Замосковский край): источники и варианты развития.
The correlation between school principal’s leadership and teacher’s productivity during covid-19 pandemic
Authors: Putri Febycia Mellania , Aisiyah Laily Nur , Dienda Saputri Senny Weyara , Rahman Muhammad Habibu 
Published: July 2022

Teachers' productivity can't be separated from how the school principal's leadership acts in leading institutions. The lack of communication between the principal and the teachers in implementing emergency learning during the pandemic becomes the background of the study. This article aims to determine the correlation between the school principal's leadership and teachers' productivity during the COVID-19 pandemic. Ten teachers became the respondents of the study. The type of research is correlational research using rank-order formula. The method used in this study was quantitative data analysis. The result showed a good relationship between the school principal's leadership and teachers' productivity. The manual calculation showed that rcount was 0.745, higher than rtable (0.576). In percentage, the value obtained was 55.5%, and 44.5% of the value was affected by other factors. The criterion used was n=10 with rtable = 0.576 at a 95% significant level. The study found that the principal's control was very influential in maintaining the quality of education during a pandemic.
Palatalización y contextos de palatalización de *k/*k’: una ruta de cambio fonológico en lenguas de la familia maya
Authors: Sobrino Gómez Martín 
Published: July 2022

Sin duda, la palatalización sincrónica y diacrónica de oclusivas velares en lenguas de la familia lingü.stica maya es un fenómeno bastante conocido y estudiado. Si bien, diacrónicamente, el cambio *k(’) > tʃ(ʼ) en varias de estas lenguas parece ser uno recurrente, los autores que lo han descrito proponen que en cada lengua o grupo de lenguas se tienen condiciones especiales o contextos diferentes en los que ocurre, ya sea para argumentar que el cambio es una innovación independiente o producto de la difusión areal. Basándonos en el análisis de lenguas mayas que manifiestan palatalización de k(’) (sincrónica o diacrónica), así como en el examen de los patrones de difusión léxica de los dialectos del mam y de las lenguas orientales, esta investigación propone la existencia de dos reglas de palatalización para esta familia lingüística: una que responde a un proceso de asimilación (antes y después de vocales anteriores), y otra que responde a uno de disimilación (cuando la oclusiva velar precede a una consonante dorsal en la misma raíz). En cada lengua o subgrupo de lenguas, pueden estar activas ambas reglas, o bien, solamente una de ellas. Se propone, además, que el cambio incluye un estadio intermedio: *k(ʼ) > *kʲ(ʼ) > tʃ(ʼ). Si una lengua no palataliza las oclusivas velares en alguna palabra, no se debe solamente al poco alcance de la difusión de las reglas, pues veremos que el cambio, ya sea de manera independiente o por difusión, puede bloquearse debido a restricciones fonotácticas en las raíces de cada lengua. Al considerar estos y otros factores como el préstamo léxico en el estudio de la palatalización de oclusivas velares en las lenguas mayas, será posible observar en detalle el estado de difusión léxica del ch’olano clásico, así como el grado de interacción que las lenguas q’anjob’alanas tuvieron con las lenguas de las tierras bajas.
Use of the continuous glucose monitoring system in the management of hypoglicemia in insulin autoimmune syndrome
Authors: Pop Andrada Raluca , Ruscanu Claudia Emanuela , Roman Gabriela , Pascanu Ionela Maria 
Published: July 2022

Abstract

Background: Insulin autoimune syndrome (IAS), also known as Hirata’s disease, is a rare cause of spontaneous hyperinsulinemic hypoglicemia characterised by the presence of autoantibodies directed against human insulin (IAA).

Case Report: A 48-year-old Caucasian female patient with IAS was studied in two different periods, for 7 days each, using a continuous monitoring system (CGM) under various treatment regimens, i.e diet modification and corticosteroids therapy.

Discutions: The use of CGM in autoimmune hypoglycemia is encouraged and must be taken into consideration in order to prevent episodes of hypoglicemia. Including of IAS and quantification of IAA in differential diagnosis in patients with hypoglicemia episodes and negative imaging results can prevent patients from going through unnecessary procedures.
Dynamics of Pertinent Project Delay Variables in the Thai Construction Sector: Mathematical Analysis
Authors: Ajayi Babatunde Oluwaseun , Chinda Thanwadee 
Published: July 2022

Abstract
Project completion behind schedule is a struggle for the construction sector, affecting time, cost, and quality. This investigation has been necessitated by the lingering nature of project delay risks despite many extant analyses. This study collated expert opinions from the Thai construction sector on salient construction delay variables and their influence on each other for DEMATEL-SD analysis. The collated data were analysed and found consistent with a Cronbach’s alpha of 0.939. Then, the DEMATEL technique was used to establish the influence weight of factors for the System dynamics (SD) analysis. It was discovered that minimising the design error at the preconstruction stage significantly reduces the magnitude of delay. Increasing values of design error and change order increase the rework profile. Besides, the project delivery within the scheduled 232 weeks can be ensured by minimising the threat of design error, design change, change order, rework, productivity problem, and by improving project management. This study adopted a hybrid mathematical system to holistically examine the construction delay risk by comprehensively exploring the dynamics of influencing variables and investigating their impact on the project scheme. The system helps project stakeholders to arrive at an effective decision in overcoming delay risks, thus minimising the cost overrun and improving the project quality.
Mathematical Model Prototype to Optimise Engineering Management of the Construction Site
Authors: Kontrimovičius Robertas , Ustinovičius Leonas 
Published: July 2022

Abstract
Modern construction technologies strongly affect the environment. Therefore, design and building construction should also follow the sustainable development principle. In this case, design and construction work based on the sustainable development principle should aim at creating a safe and healthy living environment, the economical use of natural resources, and the stimulation of economic development to create the welfare for humans and favourable natural conditions. The article proposes a mathematical algorithm as a comprehensive solution for engineering management of the planning construction site, from the calculation of the earthworks to the automated creation of the engineering geological cross-sections. The paper integrates engineering management, mathematical modelling, and BIM technology. The application of the building information model is undoubtedly one of the most advanced technologies used in the engineering management field, whose advantages have been shown by researchers. In the preliminary stage of construction and production management, decisions should be made regarding material and human resources, schedules, and estimates. The main purpose of this article is the optimisation of the excavation. Other issues important to the organisation and management of the construction are the planning of safe work on the construction site, depending on the soil type. Geotechnical sections allow ascertaining the need for additional fortifications and the depth of the fortifications for safe work. The paper describes the principal mathematical model developed by the authors to design a construction site using BIM technologies. It presents the main formulas of a mathematical algorithm aimed at selecting the objects used on the building site and the need for them. It also gives the main principles of engineering management and methods for selecting the mechanisms used on the construction site. Understandably, a specialist’s visit to the construction site will not be avoided, and it is difficult to present the entire current situation only with a review report or photographs. Using a photogrammetric model, the expert has the opportunity not only to visually evaluate the current condition but also to perform measurements (length, width, and volume) directly in the photogrammetric model. Important and new information about the construction site indicates all relevant obstacles, i.e., plants, surrounding constructions, and other objects.
Safety and Health at the Workplace in the Context of COVID-19: The Case of a Dental Clinic
Authors: Čiutienė Rūta , Čiarnienė Ramunė , Gaidelys Vaidas 
Published: July 2022

Abstract
Governments of different countries and healthcare organisations working in various areas face enormous challenges when trying to combat the COVID-19 pandemic and protect employees, their families and communities. Workplaces can be high-risk environments in terms of the virus outbreak and transmission. This paper aims to disclose the ways for workplace safety improvement in dentistry in the context of COVID-19. The authors present the theoretical model of workplace safety improvement with regard to COVID-19 infection prevention and control measures. The expectations, fears and tasks of dental employees at their workplace in the context of the COVID-19 pandemic were investigated based on the systematic literature review and the qualitative empirical study conducted in Lithuania. The study disclosed that unmet employee expectations could lead to different kinds of fear; the most common sources of anxiety are linked to a higher risk of getting infected, a lack or misuse of protection measures and inadequately performed work. Occupational risks are closely related to the components of a workplace system. Therefore, it is important to apply a holistic approach to improve workplace safety, enhance work performance and minimise the negative effects on an employee, an organisation, a patient and a society.
Plant and Human Pathogenic Bacteria Exchanging their Primary Host Environments
Authors: Sobiczewski Piotr , Iakimova Elena T. 
Published: July 2022

Abstract
Adaptation of plant and human pathogenic bacteria to niches of existence differing from their original ones is a sophisticated mechanism for survival. Research indicates that certain plant bacterial pathogens are capable of causing disease in humans, and some human bacterial pathogens can inhabit the plant environment and cause disease in plants. The infection of humans by plant bacteria may occur at direct physical contact with diseased plants and/or via the respiratory tract in mainly immunocompromised or otherwise stressed individuals. Indirect transmitters of plant and human microbes can be wind, rain, dust, insects, and animals. Human pathogenic bacteria may contaminate the soil and irrigation water, colonize the rhizosphere, more rarely also the phyllosphere, and can survive as epiphytes. Thus, the plant environment may become a reservoir of human pathogens. A source of foodborne human pathogenic bacteria can be unprocessed or unwashed fruits and vegetables. Especially during the last decade, the processes underlying the cross-kingdom performance of pathogenic bacteria are intensively researched. However, in reality, the risk for human health at infections by plant bacteria and by human bacterial pathogens surviving in the plant environment is still underestimated. The goal of the current review is to increase the interest in these issues in agricultural and general environments. Some basic strategies for infection and symptoms of diseases caused by the microorganisms under consideration are described. The potency of certain plant bacterial pathogens to surpass barriers towards humans and the interaction of human bacterial pathogens with the plant environment are addressed and the existing information is critically discussed.
Developing a Leadership and Practice Advancement Training Curriculum for Intern Pharmacists in Nigeria Using the ADDIE Model
Authors: Sariem Comfort , Nwizu Ucheoma , Malhotra Jodie 
Published: July 2022

The Problem: Leadership and clinical-pharmacy advancement training are lacking during post-graduate pharmacy internships in Nigeria.
Objective: To design and develop a leadership and clinical-pharmacy advancement training curriculum for intern pharmacists.
Innovation: The curriculum was designed to include leadership development, process improvement, and project management, with a culminating capstone project, using the analysis, design, development, implementation, and evaluation (ADDIE) model. Twelve intern-pharmacists were selected representing three pharmacy schools and four hospitals in Nigeria. Baseline assessments included previous exposure to module topics, beliefs, and level of comfort with module skills.
Findings: The leadership curriculum was developed and tested on 12 intern pharmacists. Their average age±SD was 23.4±1.9 years and 7(58.3%) of the participants were males. The participants had received previous training in leadership (33.3%), project management (16.7%), and process improvement (16.7%). In addition, 91.6% believed intern pharmacists could be leaders in advancing clinical pharmacy practice.
Conclusion: The leadership and clinical-pharmacy advancement training curriculum was designed and developed using the ADDIE model for intern-pharmacists, who were highly prepared.
Klasifikasi Citra Rimpang Menggunakan Support Vector Machine dan K-Nearest Neighbor
Authors: Mawaddah Saniyatul , Mufid Mohammad Robihul , Aditama Darmawan , Islamiya Nurul , Wulandari Trisyayekti 
Published: July 2022

Abstract— Rhizome is part of the plant that has many benefits. Some types of rhizomes that are often found are ginger, turmeric and galangal. But in reality, for the three types of rhizomes, there are still many that cannot be recognized. This is because some types of rhizomes do have properties and textures. This research proposes a rhizome recognition system with the classification of SVM (Support Vector Machine) and KNN (K-Neirest Neighbor). SVM searches for the best hyperplane by maximizing the distance between classes. KNN classifies objects based on the learning data that is the most distant from the object. The types of rhizomes used in this research data collection are the three types of rhizomes mentioned above. Meanwhile, the number of images in this study consisted of 150 training images and 30 testing images. The test is carried out by calculating the accuracy value of the classification of testing data in 3 classes, namely Ginger, Kuyit, and Galangal classes using both methods. The rhizome recognition system using the second method of classification is expected to help get good accuracy and can be more easily recognized by the name of the rhizome.
Keywords— Rhizome; SVM; KNN

Abstrak— Rimpang merupakan bagian dari tanaman yang memiliki banyak manfaat. Beberapa jenis rimpang yang sering dijumpai adalah jahe, kunyit dan lengkuas. Namun pada kenyataannya untuk ketiga jenis rimpang tersebut masih banyak yang tidak bisa dalam mengenalinya. Hal tersebut dikarenakan pada beberapa jenis rimpang memang memiliki kemiripan dalam bentuk dan teksturnya. Dalam penelitian ini diajukan sebuah sistem pengenalan rimpang dengan metode klasifikasi SVM (Support Vector Machine) dan KNN (K-Neirest Neighbor). SVM mencari hyperplane terbaik dengan memaksimalkan jarak antar kelas. KNN melakukan klasifikasi terhadap objek yang berdasarkan dari data pembelajaran yang jaraknya paling dekat dengan objek tersebut Jenis rimpang yang digunakan dalam dataset penelitian ini adalah ketiga jenis rimpang yang disebutkan di atas. Sedangkan untuk jumlah citra dalam penelitian ini terdiri dari 150 citra training dan 30 citra testing. Pengujiannya dilakukan dengan menghitung nilai akurasi dari klasifikasi data testing pada 3 kelas, yaitu kelas Jahe, Kuyit, dan Lengkuas dengan menggunakan kedua metode tersebut. Sistem pengenalan rimpang menggunakan kedua metode klasifikasi ini diharapkan mendapatkan akurasi yang baik dan dapat membantu masyarakat untuk lebih mudah mengenali nama rimpang.
Keywords— Rimpang; SVM; KNN