bluuebunny/crossref_metadata_2025 huggingface dataset:
The Construction of “Party Building + Curriculum Civics” Education Model for Chinese Grassroots Party Organizations in the Context of “Internet+”
Authors: Huang Guodong
Published: July 2023

In order to explore the construction mode and direction of the “Party building + Curriculum Civics” education mode of Chinese grass-roots party organizations under the background of “Internet+”. This paper proposes to use the hash search algorithm as the basis of the “Internet+” technology model. Take the Learning Power APP as an example. Use the hash search algorithm to mine the party building and thinking politics elements in the Learning Power APP from three perspectives and establish the index mining vector. Through the mining analysis of the index vector, we verify the development mode of grass-roots party organizations in the context of “Internet+”. The results showed that the learning initiative of party members and cadres on the Learning Power APP reached 95.5%, and 97.65% of them answered positively that using the Learning Power APP could improve the political knowledge and ideological consciousness of party members and cadres, and the average rates of political knowledge, political participation, political belief, political effectiveness and political responsibility among the five indicators were 80%, 51%, 71%, 55.29%, and 86.29%, respectively. The average rates of political knowledge, political participation, political belief, political efficacy, and political responsibility in the five indicators are 80%, 51%, 71%, 55.29%, and 86.96%, respectively. The results prove that the use of new media technology can help Chinese grassroots Party organizations to carry out a new “Party building + curriculum thinking and government” education model in the context of “Internet+”, which provides a broader vision for the innovation of grassroots Party organizations, and also provides a broader vision for “Internet+”. The “Internet+” background has a new place for all technologies.
Design and application of an intelligent communication platform for aesthetics education for internationalization
Authors: Hao Yuhong
Published: July 2023

With the rapid development of information technology, aesthetics education is changing, and the use of computer technology for teaching has become the new norm in the teaching field. In recent years, many intelligent platforms for aesthetics education have emerged at home and abroad, but most of them are only simple video courses, which can hardly meet the needs of aesthetics education. In order to design an international-oriented intelligent communication platform for aesthetics education, this paper builds an intelligent platform serving aesthetics education based on the relevant technologies of intelligent learning communication and completes performance tests after implementation. On the user side, the average memory consumption of the intelligent platform is 15.6 MB, the average memory occupation rate is only 15.34%, and the average network traffic consumed per operation step is only 7.56 MB. The CPU consumption of the platform is also relatively low. The highest occupation rate is 3.76%, the lowest is 0.81%, and the average is only 2.58%. For the server-side Web test, the average system response time of the intelligent platform is 0.72 seconds, which is a very fast response time. In the concurrency test, the platform still runs smoothly under the full concurrency of 100 concurrency numbers and can respond to most users’ requests within 1 second. The intelligent platform is fully capable of meeting the needs of teachers and students in aesthetics education. The international-oriented intelligent communication platform for aesthetics education designed in this paper can help cultivate students’ aesthetic perception and thinking ability, thus improving their aesthetic literacy in an all-around way.
A Study on the Impact of the Internet+ Era on Korean Film Consumer Culture
Authors: Liu Haimeng , Wang Gang
Published: July 2023

In the late 1990s, the landscape of the Korean film industry underwent a major change as Korean films emerged strongly and swept through Asia and the world with their consumer culture. With the advent of the Internet+ era in the new century, the consumer culture of Korean cinema has changed dramatically. In order to study the impact of the Internet+ era on Korean film consumption culture clearly, this paper analyzes the change in Korean film genres with the Internet trend and the distribution of the Korean film industry in the Internet+ era through Internet information dissemination model and personalized recommendation algorithm. From 2012 to 2021, the main genres of Korean movies changed from romance, drama, and war movies to crime, action, and disaster movies. Among them, the average share of war films reached 11.20%. The average share of disaster films reached 11.11%. The average share of action films is 10.88%. The average share of drama films was 10.97%. In terms of the film industry, the market share of local Korean films has always been able to keep from being surpassed by imported films after surpassing them. 2013 saw the largest gap between imported and local films, with a difference of 19.4 percentage points. In the Internet+ era, audience psychology, consumer demand, and business models have had a profound impact on the consumer culture of Korean films, not only changing the traditional layout of the Korean film market but also allowing film creators to consciously or unconsciously introduce new consumer culture themes in line with the Internet public.
Multi-UAV Aerial Mission Intelligent Assignment Algorithm Based on LightGBM Model
Authors: Wang Yongcheng , Zhang Guohui
Published: July 2023

With the development of UAV technology, UAVs have the advantages of convenience, speed, and small size. However, when faced with a complex task environment, some traditional artificial intelligence algorithms will significantly increase computation time, and the algorithms that perform better in time performance often fail to adapt to the type and number of random tasks to be assigned. In this paper, we combine the Hungarian algorithm with improving the LightGBM model, simulate the implementation in various task scenarios, and verify that the improved LightGBM model completes the intelligent assignment of multiple UAVs without increasing time cost compared to the classical algorithm through comparative analysis. It is shown that the improved LightGBM model has an average time of 26.39s for 10 runs, which is higher than 16.91s for NSGA-II and 14.73s for PESA, but lower than 46.92s for SPEA2 and 50.01s for SPGA2. For a non-real-time assignment system, a better mission intelligence assignment at a certain time cost scheme is more in line with the system’s performance requirements. Therefore, the improved LightGBM model in this paper can obtain better solutions than the other four algorithms in solving the multi-objective multi-UAV task intelligence assignment problem, and the solution set coverage is larger than several other algorithms. This indicates that the algorithm studied in this paper is feasible in solving the multi-objective multi-UAV task intelligence assignment problem, and it also has some reference significance for solving the multi-objective problem and improving the coverage of the multi-objective solution set.
Design and research of news recommendation system based on perceptron model in big data era
Authors: Pan Yan
Published: July 2023

With the continuous development of information technology, we are now in an era of information explosion, and we are also facing the problem of information overload, i.e., it is difficult to find the news that interests us from the huge news sources on the Internet. Based on this problem, this paper proposes a perceptron model-based news recommendation system, which uses the perceptron model to extract news keywords and realize the classification of the news; for user interest preferences, we analyze users’ news browsing preferences by collecting user behavior logs and use a multi-layer perceptron model to aggregate users’ interest features. The perceptron model is compared with traditional recommendation methods in terms of accuracy and recall, and one user is selected from 50 users who have been using the system for three months to analyze their news browsing preferences by single-day, short-term and long-term news data to verify the effectiveness of the perceptron model in aggregating users’ interest features. In terms of accuracy and recall, the accuracy of the perceptron model is higher than that of the traditional method for each news type, improving the accuracy by at least 5%-10%, e.g., 10% for real estate news and 9% for financial news. The recall rate of the perceptron model is improved by more than 6% for all news types except for social and entertainment news types. In terms of user interest preference mining, the whole change process of user browsing preference trend is in line with the human forgetting curve, which verifies that the perceptron model in the system is better used and meets the design requirements. Therefore, the applicability and reliability of the model proposed in this paper for news recommendation systems are verified in terms of accuracy, recall, and user interest preference mining.
Construction of a smart grid load forecasting platform based on clustering algorithm
Authors: Wang Tao , Qiu Longgang , Jiang Guangji , Ping Yuan , Huang Shuai , Zhu Xiaoying
Published: July 2023

With the rapid development of economic levels, the demand for electricity usage in various industrial sectors has continued to rise. In order to adequately meet the growth in demand for electricity usage at each user end within the power system, accurate forecasting of electricity load is required. This paper uses the K-Means algorithm as the basis, combined with the Canopy algorithm, whose simple and efficient advantages can be used as the initial clustering step for demanding clustering algorithms. The PCA algorithm is used to reduce the dimensionality of the residential multidimensional electricity consumption feature set, and after optimization, the feature vector weights are calculated to obtain the appropriate selection to determine the training and testing samples. The improved K-Means algorithm carries out five clustering tests, and its average accuracy is above 97%. The average relative error is then used as an indicator to compare the algorithm with the time series method, curve extrapolation method, and WKNR method for analysis. The average relative error of the smart grid load forecasting method proposed in this paper is 0.87%, while the average relative errors of the other three algorithms are 1.64%, 1.57%, and 0.93%, respectively. The distribution of relative errors falls less than 1% more than the other methods. It can be seen that the improved K-Means algorithm has higher prediction accuracy and also makes the smart grid load testing platform more practical due to its simple implementation principle.
On the Application of Artificial Intelligence in Local Legislation
Authors: Wang Ke
Published: July 2023

The expansion of local legislative authority has prompted the introduction of various local regulations, which have promoted local governance in various places. However, the formulation of local legislation suffers from problems such as singularity and fragmentation, and its informatization has not kept pace with the development of artificial intelligence. In order to study the application of artificial intelligence in local legislation, this paper applies artificial intelligence to the intelligent screening of legislative solicitations and the intelligent review of draft regulations through the study of generative adversarial networks and their optimization models. Facing legislative opinions with large amounts of data and complex text, the text recognition rate of AI reaches 98.24%, the success rate of similar opinion de-duplication is 84.69%, and the success rate of classifying opinions applying to different fields and different legal articles is 79.09%. Artificial intelligence can also filter out 71.13% of invalid opinions. In reviewing draft regulations, the success rate of artificial intelligence in judging whether it conflicts with the higher law is 83.01%, and the success rate of judging whether it conflicts with the same law is 80.64%. Artificial intelligence has a natural advantage in assisting local legislators to deal with a large amount of repetitive paperwork, which can effectively improve the efficiency of local legislation. Using artificial intelligence to assist local legislation can help local legislation make great progress and development to maintain local stability better and promote local development.
A mysterious object in our Galaxy pulses every 76 seconds
Authors: Caleb Manisha
Published: July 2023

The discovery of an ultra-long period neutron star, emitting unusual radio signals is rewriting our understanding of these unique star systems. The source has been found to reside in a neutron star graveyard and yet still produce radio emission (zombie stars!). It exhibits highly unusual and chaotic pulse shapes quite unlike anything seen in known neutron stars.
Mathematical modeling and tumor avatars: What’s the link?
Authors: Ramzy George , Nowak-Sliwinska Patrycja
Published: July 2023

We introduce a new approach for designing personalized treatment for colorectal cancer patients, by combining patient-derived samples and mathematical modeling. This unique strategy is tailored specifically to individual patients, as we go from bench to bedside and back.
The Influence of E-commerce Sites Pops Up Advertisements Over Youngsters
Authors: Balhareth Hamad
Published: July 2023

Objective: This study explores the influence of pop-up advertisements on youngsters' purchases, focusing on how these ads on webpages determine purchase intent. The purpose of this research is to investigate the effectiveness of pop-up ads in creating awareness, enhancing recall, and ultimately driving impulsive buying behavior among youngsters, who frequently engage with social media and other websites.
 
Theoretical framework: To achieve the research objectives, a comprehensive theoretical framework is utilized. The framework incorporates theories from consumer behavior, advertising effectiveness, and online marketing. It draws on concepts such as brand awareness, product features, price perception, and impulsive buying behavior to provide a holistic understanding of the influence of pop-up ads on youngsters' purchase intent.
 
Method: A primary data collection method is employed in this investigation. Surveys are conducted among a targeted sample of youngsters who regularly engage with online platforms. The survey questionnaire is designed to capture their exposure to pop-up ads, their attitudes towards these ads, and their subsequent purchase intent. Additionally, data is collected on the respondents' recall of product information and their impulsive buying tendencies.
 
Findings: The findings of this study shed light on the impact of pop-up advertisements on youngsters' purchasing behavior. The results indicate that pop-up ads have a significant influence on purchase intent among the target population. The abrupt appearance of pop-up ads on webpages captures the attention of online viewers and creates a sense of urgency, leading to impulsive buying decisions. Furthermore, the continuous exposure to pop-up ads improves the recall of product features, prices, and other parameters, reinforcing the impact on purchase intent.
 
Research Implications: These findings have important implications for marketers and advertisers aiming to target the younger demographic. Understanding the effectiveness of pop-up ads in creating awareness and driving impulsive buying behavior can inform strategic advertising campaigns and optimize online marketing efforts. Marketers can leverage the potential of pop-up ads to enhance brand recall, increase product visibility, and ultimately drive sales among youngsters.
 
Originality/value: This study highlights the significance of pop-up advertisements on youngsters' purchase intent. The primary data analysis confirms that pop-up ads on webpages have a strong influence on impulsive buying behavior and enhance the recall of product information. By considering the findings and recommendations of this research, marketers can effectively utilize pop-up ads to engage with the younger demographic and drive their purchasing decisions.
Əkiz hamiləliyin fəsadları və taktikarı
Authors: C.F. Gurbanova  , A.F. Amirova  , Kh.M. Takhmazi  , A.E. Huseynova  , E.Sh. Salimova
Published: July 2023

Əkiz hamiləliklər ana və uşaq (uşaqlar) üçün mənfi nəticələr riskinin artması ilə yayılmış hal olaraq qalır. Əkiz hamiləlik, uzun sürən hamiləlik və makrosomiya istisna olmaqla, demək olar ki, bütün potensial hamiləlik ağırlaşmalarının yüksək tezliyi ilə, eləcə də bəzi unikal fəsadlarla bağlıdır.Əkiz hamiləliklərdə ananın həddindən artıq risklərinə anemiya, sidik yollarının infeksiyası, hipertoniya, hestasiya diabet, qanaxma və ana ölümü daxildir və tək hamiləliklərə nisbətən daha diqqətli monitorinq tələb olunur.
Qadın reproduktiv sağlamlığı və vitamin D
Authors: S.A. Mursalova  , S.S. Safarova  , Kh.M. Mirzayeva  , S.N. Valiyeva  , T.F. Jafarova  , A.N. Khudiyeva
Published: July 2023

D vitamini çatışmazlığı 21-ci əsrin pandemiyasıdır. Vitamin D həm qadınlarda, həm də kişilərdə reproduktiv proseslərin tənzimlənməsində mühüm rol oynayır. Vitamin D reseptorları yumurtalıq, endometrium və fallopiya toxumalarında mövcuddur.borularda, həmçinin desidua və plasentada. Vitamin D steroidogenezdə iştirak edir. Məqalədə D vitamini çatışmazlığının bir çox ginekoloji problemlərin, o cümlədən polikistik yumurtalıq sindromu, endometrioz, uşaqlıq leyomyoması, dismenoreya kimi xəstəliklərin inkişafındakı rolundan bəhs edilir.
Возможности ЭЛИП-теста в диагностике беременных женщины с хронической гипертензией
Authors: N.A. Shahbazova
Published: July 2023

Целью исследования явилось определение ранних доклинических иммунологических маркеров у беременных с хронической артериальной гипертензией. У 27 беременных с хронической артериальной гипертензией (основная группа) и 50 здоровых беременных (контрольная группа) исследовали плазменные уровни двенадцати естественных аутоантител. Уровни аутоантител на протяжении всей беременности анализировали с помощью ELISA. У женщин с хроническим гипертония. Хроническая артериальная гипертензия на фоне иммуносупрессии встречается более чем в 3 раза чаще по сравнению со здоровыми беременными. Уровни аутоантител к В-2QP и ANCA и общий иммунный статус зависят от длительности гипертонической болезни. Иммунологический прогноз клинически подтверждается в 85,1% случаев.
Ürək qusuru (TETRADA FALLO) əməliyyatdan sonra hamiləliyin gedişatı və aparılması (Klinik vəziyyət)
Authors: A.F. Ismailova  , T.Q. Alinagieva
Published: July 2023

Hamiləlik dövründə ürək xəstəlikləri ən əhəmiyyətli tibbi ağırlaşmalardan biridir. Ana ölümünün ümumi, qeyri mamalıq səbəblərindən biridir. Hamiləliklərin təxminən 1%-i ürək xəstəliyi ilə ağırlaşır. Bu halların idarə edilməsi ana və yenidoğul-muşa qulluq edən bütün xidmətlərdə çətinlik yarada bilər. Hamiləlik ürək-damar funksiyasında bir sıra dəyişikliklərə səbəb olur. Bu dəyişikliklərin son nəticəsi ürək fəaliyyətinin artmasıdır. Hamiləlik və ürək xəstəliyin tələbləri ürəyə çox gərginlik yaradır. Ürək cərrahiyyəsindəki irəliləyişlər, anadangəlmə və ya qazanılmış ürək xəstəliyi olan pasientlərin həyat keyfiyyətini və ürək-damar sisteminin işləmə səviyyəsini yaxşılaşdırdı [1,2]. Bu xəstəliklər hamiləliyin 0.1- 4 %-ni çətinləşdirir. Ürək əməliyyatı sonrası hamilə bir xəstənin idarə edilməsi bütün səhiyyə işçiləri üçün kompleks bir məsələdir.
Difficulties with using quotation marks when spelling toponyms and onyms derived from toponyms
Authors: Barandeev A. V.
Published: July 2023

The article considers the issues of using inverted commas when writing toponyms and numerous toponym- based names of museums, nature reserves, zakazniks, resorts, sanatoriums, hotels, boarding houses, and so on. Based on previous studies, the research determines the orthographic status of quotation marks at the lexical level. Additionally, the paper critically analyses the rules of using quotation marks provided in the new edition of the "Rules of Russian Spelling and Punctuation", as well as in various reference books and handbooks. The research identifies the main corpus of toponym-derived onyms which should be written with inverted commas.
İslam Sanatlarında Estetik: Güzeli Anlamak Mustafa Uğur Karadeniz, Ketebe Yayınları, İstanbul, 2020.
Authors: AVCI Sait
Published: July 2023

İslam sanat geleneğinin bir ürünü olarak ortaya çıkan eser sanatçı ile birlikte onun yaşadığı toplumun varlık ve hayat anlayışının bir tezahürü olarak değerlendirilebilir. Sanat eseri her ne kadar sanatçının kişisel tecrübe ve çabasının bir ürünü olsa da sanatçının içinden çıktığı toplumun kültürel birikimini ve mensup olduğu dini düşüncenin estetik bakış açısını ortaya koyan bir veri özelliğine de sahiptir. İslam sanatı başlangıcından bugüne kadar temel bir üslup ve motif anlayışı geliştirmiş; sanatçının hassasiyetle uyması gereken genel çerçeveyi belirlemiştir. Tarihi süreç içerisinde İslam sanatının şiir, mimari, musiki ve tezyini sanatlar gibi birçok alanında düşünce ve eylem birlikteliği sağlanmıştır. Günümüze kadar İslam sanatları üzerine birçok eser kaleme alınmış olmakla birlikte İslam sanat estetiğinin kavramlarını bir araya getirme ve bütüncül bir bakış açısı ile ele alma konusunda yeterli çalışmaların yapıldığını söylemek güçtür. Bu noktada Doç. Dr. Mustafa Uğur Karadeniz’in “İslam Sanatlarında Estetik Güzeli Anlamak” isimli çalışması büyük bir boşluğu doldurmaktadır. Yazar bu eserinde İslam sanatlarının, hem estetik arka planını incelemiş hem de kaynaklarını ve kavramlarını bir bütünlük içerisinde ele alarak açıklamıştır. Biz bu kıymetli eseri inceleyerek başta Klasik Türk Edebiyatı ve İslam Sanatları alanlarında çalışanlar olmak üzere bütün araştırmacı ve okurların dikkatine sunmayı amaçladık.
Reordering function/equation graphs
Authors: Zhvanko Alexander
Published: July 2023

To obtain new functions/equations $k$, to which ready-made methods $L$ of known functions/equations $f$ are applicable, it is proposed to use reordering of graphs $f$ (in a set-theoretic sense, the graph of a function/equation and the function/equation are synonymous). Informally, the reordering of a graph can be understood as arbitrary displacements $\tau$ of its points. Special types of antiderivative and derivative are introduced and interpreted. They allow you to transfer work with continuity to discontinuous graphs of some type. An isomorphism is proved between the set of original functions $f$ and the set of reordered auxiliary functions $h$, preserving the relations ``continuity of $f$, continuity of $h$'', ``function, derivative of the function'', ``function, antiderivative of the function''. The continuity/differentiability of the latter makes it possible to work with discontinuous objective functions $k$ as if they were continuous/differentiable in a certain context. The applicability of the method $M$ of interpolation/extrapolation of data $D_f$ (producing the function $f$) to data $D_k$, according to which $M$ gives $k$, is demonstrated.
Preprocessing choices do not affect the chances of observing increased scalp recorded gamma-band oscillations in the context of mechanical hypersensitivity.
Authors: Jaltare Ketan Prafull , Torta Diana , van den Broeke Emanuel
Published: July 2023

A recent publication by Gousset et al. (2023) in Clinical Neurophysiology, investigated if experimentally-induced mechanical pinprick hypersensitivity, elicited by applying high-frequency electrical stimulation onto the skin (HFS), is associated with increases pinprick-induced scalp-recorded EEG gamma-band oscillations (GBOs). They found this not to be the case. However, one could argue that some choices made in the preprocessing steps might have affected the results, resulting in a type II error. In this correspondence we report the results of our investigation on whether different choices in preprocessing steps change the results and conclusions presented by Gousset et al.
Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithm for Chest X-Ray Images Classification
Authors: Yasar Ali
Published: July 2023

Covid-19 virus has led to a tremendous pandemic in more than 200 countries across the globe, leading to severe impacts on the lives and health of a large number of people globally. The emergence of Omicron (SARS-CoV-2), which is a coronavirus 2 variant, an acute respiratory syndrome which is highly mutated, has again caused social limitations around the world because of infectious and vaccine escape mutations. One of the most significant steps in the fight against covid-19 is to identify those who were infected with the virus as early as possible, to start their treatment and to minimize the risk of transmission. Detection of this disease from radiographic and radiological images is perhaps one of the quickest and most accessible methods of diagnosing patients. In this study, a computer aided system based on deep learning is proposed for rapid diagnosis of COVID-19 from chest x-ray images. First, a dataset of 5380 Chest x-ray images was collected from publicly available datasets. In the first step, the deep features of the images in the dataset are extracted by using the dataset pre-trained convolutional neural network (CNN) model. In the second step, Differential Evolution (DE), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) algorithms were used for feature selection in order to find the features that are effective for classification of these deep features. Finally, the features obtained in two stages, Decision Tree (DT), Naive Bayes (NB), support vector machine (SVM), k-Nearest Neighbours (k-NN) and Neural Network (NN) classifiers are used for binary, triple and quadruple classification. In order to measure the success of the models objectively, 10 folds cross validation was used. As a result, 1000 features were extracted with the SqueezeNet CNN model. In the binary, triple and quadruple classification process using these features, the SVM method was found to be the best classifier. The classification successes of the SVM model are 96.02%, 86.84% and 79.87%, respectively. The results obtained from the classification process with deep feature extraction were achieved by selecting the features in the proposed method in less time and with less features. While the performance achieved is very good, further analysis is required on a larger set of COVID-19 images to obtain higher estimates of accuracy.
Associations between direct contact with the oil and worsened health indicators after Deepwater Horizon oil spill: Results from Gulf States Population Survey
Authors: Han Bingxue
Published: July 2023

BACKGROUND 
Oil spills were known to affect human health through the exposure of inherent hazardous chemicals. The aim of the study was to examine the associations between direct contact with the oil (DCO) and health indicators among the adult residents in the 25 coastal counties or parishes most directly affected by the Deepwater Horizon oil spill (DHOS) in the Gulf of Mexico.

METHODS 
Data were based on the Gulf States Population Survey (GSPS). The GSPS collected survey data from a random sample of households, with the majority of the interviews conducted in the 25 coastal counties or parishes that were most directly affected by the spill. After identifying the confounding variables, associations of DCO with poor quality of life (QoL), poor self-rated health (SRH), psychiatric disorders, asthma, and cardiovascular disease among the adult residents after DHOS were analyzed using logistic regressions.

RESULTS 
The mean age of total of 5,167 adult residents at the time of questionnaire completion was 53.93 (SD=16.29) ranging from 18 to 95 years. Controlling for confounding variables, DCO was associated with higher odds of poor mental QoL (adjusted odds ratio [aOR]: 1.284; 95% confidence interval [CI]: 1.045-1.578; _p_=.018), poor SRMH (aOR=1.278; 95%CI: 1.021-1.601; _p_=.033), anxiety (aOR=1.680; 95%CI: 1.395-2.024; _p_<.001), depression (aOR=1.182; 95%CI: 0.977-1.430; _p_=.086), and suicidality (aOR=1.920; 95%CI: 1.411-2.614; _p_<.001) after DHOS.

CONCLUSIONS 
In conclusions, the prevalence of co-occurring poor SRHs, co-existing poor QoL, and concurrent psychiatric disorders was high in adult residents after DHOS. Similarly, DCO had association with poor mental QoL, poor SRMH, and psychiatric disorders. The empirical findings of this research presented the managerial implications in the field of environmental health.
Tanggung Jawab Notaris Pengganti atas Akta Notaris yang dibuat oleh Notaris tidak Berwenang dalam Kewenangan Notaris Pengganti
Authors: Wahyudi Anton , Erliyani Rahmida , Mispansyah Mispansyah
Published: July 2023

Penulisan ini bertujuan untuk mengkaji pertanggungjawaban notaris pengganti yang tidak menjalankan tugas dan kewenangannya sebagai notaris pengganti dan untuk mengkaji sanksi terhadap notaris pengganti yang telah diambil sumpah tetapi tidak menjalankan tugas dan kewenanganannya. Dengan menggunakan jenis penelitian yuridis normatif, Penelitian ini bersifat preskriptif yaitu menjawab isu hukum dengan cara menggambarkan, menelaah, mengkaji, dan menjelaskan secara tepat serta menganalisa peraturan perundang-undangan yang berlaku maupun dari berbagai pendapat ahli hukum, dengan tujuan untuk mendapatkan jawaban atas permasalahan yang diangkat. Hasil Penelitian Pertama : Pertanggungjawaban notaris pengganti yang tidak menjalankan tugas dan kewenangannya sebagai notaris pengganti adalah pertanggungjawaban dengan berdasarkan pada berdasarkan unsur kesalahan (fault liability atau liability based on fault), hal ini diukur dari besar dan kecilnya suatu kesalahan dijadikan sebagai landasan untuh menjatuhkan sanksi kepada Notaris. Kedua : Sanksi terhadap notaris pengganti yang telah diambil sumpah tetapi tidak menjalankan tugas dan kewenanganannya tidak dapat dianggap sudah melanggar kode etik karena tidak bertindak amanah, jujur, saksama, mandiri, tidak berpihak, dan menjaga kepentingan pihak yang terkait dalam perbuatan hukum, karena berdasarkan Pasal 17 huruf h Undang-Undang Republik Indonesia Nomor 2 Tahun 2014 Tentang Perubahan atas Undang-Undang Nomor 30 Tahun 2004 Tentang Jabatan Notaris notaris pengganti bukan pejabat umum yang berwenang membuat akta otentik berdasarkan ketentuan dalam peraturan perundang-undangan, sehingga terdapat kekosongan hukum yang mana tidak ada aturan yang mengatur mengenai sanksi yang dapat diberikan kepada Notaris Pengganti yang tidak menjalankan tugas dan kewenangannya.
Carving out a Sonorous Space for Erotic Tenderness: A Deleuzo-Guattarian Reading of Björk’s Becoming-Tender as Queer
Authors: Koziej Stephanie
Published: July 2023

This article argues that through her songs and music videos Pagan Poetry, Cocoon and Hidden Place, versatile artist Björk is able to carve out a space for erotic tenderness. This erotic tenderness will be unearthed as a queer or minor sexuality, in the sense that it goes against a phallic and genital majoritarian account of sexuality. Tender sexuality might not be obviously queer, yet a detour through the early work of Freud will show how our hegemonic account of sexuality is built upon a repression of such a tender sexuality. Freud’s psychoanalysis is only able to regard this sexual tenderness in a negative vein as a pathological symptom. Supported primarily by the works of Deleuze, Guattari and Muñoz, this article will propose that Björk’s artistry is able to produce a line of flight outside of this tender-less sexuality, liberating an otherwise repressed minor tender sexuality through a visually and sonically becoming-woman, becoming-child, becoming-BwO and becoming-molecular.
Institutional Arrangement Approach on e-Parking Innovation in Surabaya City, Indonesia
Authors: Zhafirah Farah , Hati Erva Mutiara , Roziqin Ali
Published: July 2023

The implementation of parking in the city of Surabaya is regulated by Regional Regulation (Perda) Number 3 of 2018. The purpose of introducing e-parking or a parking meter tool is to suppress the leakage of PAD in the parking sector, control parking attendants, and facilitate convenient experiences for individuals visiting the smart city of Surabaya. The meter was introduced to measure the duration of parking and facilitate electronic payment of fees. Therefore, e-parking innovation plays a crucial role in effectively managing local revenue (PAD). This study predominantly focuses on the institutional governance system for implementing innovations in the public service sector, specifically the use of e-parking to address parking-related issues. This study employed a descriptive approach with a qualitative methodology. The subjects included the Head of Surabaya Parking UPTD, employees of Surabaya City Transportation Service, attendants of Surabaya City Hall and Tama Bungkul Surabaya parking, as well as the wallet team of Surabaya City Transportation Department. Data were collected using various techniques, namely interviews, observation, and documentation, and were subsequently analyzed through a systematic process of data reduction, presentation, and verification. The results showed the Surabaya City Transportation Service successfully implemented parking meters at several points, including City Hall and Bungkul Park. The implementation of the e-parking program in the city has been progressing well, despite encountering some challenges. These challenges have been effectively resolved, ensuring the smooth operation of the parking meter tool.
Gravity-magnetic appraisal of the southern part of the Cauvery Basin, Eastern Continental Margin of India (ECMI): evidence of a volcanic rifted margin
Authors: Ganguli Shuva Shankha , Pal Sanjit K.
Published: July 2023

The Cauvery sedimentary basin of India, a part of the Eastern Continental Margin of India (ECMI), has evolved as a consequence of its breakup from East Antarctica in the early Cretaceous. This study covers approximately 10,000 km2 in the southern part of the Cauvery basin. A total of 5,161 gravity-magnetic observations were made in an area bounded by 78°–79°E longitude and 9°–10°N latitude. The gravity anomaly map shows a dominant NE-SW trend with a total relief of 83 mGal from −77 mGal to 6 mGal. The map reveals very prominent NE-SW trending linear gravity high bands and two circular/elliptical gravity lows around Madurai and Ramanathapuram, respectively. The residual gravity map reveals NE-SW trending alternative bands of gravity highs and lows, revealing a ridge-depression structure. The gravity modeling shows the presence of underplated material, which may be related to magmatic activity during the Cretaceous. The magnetic map reveals two prominent E-W trending linear structures, which probably represent the disposition of a shear zone under the Cauvery Basin. Based on the filtered magnetic and gravity map, we have prepared an interpreted basement geology map. The magnetic map and residual gravity map suggest that the basement rock of the basin is crystalline (granite/gneiss) and may not comprise a high-grade metamorphic rock Eastern Ghat Orogeny.
Phylogenomic analysis of the Porphyromonas gingivalis - Porphyromonas gulae duo: approaches to the origin of periodontitis
Authors: Morales-Olavarría Mauricio , Nuñez-Belmar Josefa , González Dámariz , Vicencio Emiliano , Rivas-Pardo Jaime Andres , Cortez Cristian , Cárdenas Juan P.
Published: July 2023

Porphyromonas gingivalis is an oral human pathogen associated with the onset and progression of periodontitis, a chronic immune-inflammatory disease characterized by the destruction of the teeth-supporting tissue. P. gingivalis belongs to the genus Porphyromonas, which is characterized by being composed of Gram-negative, asaccharolytic, non-spore-forming, non-motile, obligatory anaerobic species, inhabiting niches such as the oral cavity, urogenital tract, gastrointestinal tract and infected wound from different mammals including humans. Among the Porphyromonas genus, P. gingivalis stands out for its specificity in colonizing the human oral cavity and its keystone pathogen role in periodontitis pathogenesis. To understand the evolutionary process behind P. gingivalis in the context of the Pophyoromonas genus, in this study, we performed a comparative genomics study with publicly available Porphyromonas genomes, focused on four main objectives: (A) to confirm the phylogenetic position of P. gingivalis in the Porphyromonas genus by phylogenomic analysis; (B) the definition and comparison of the pangenomes of P. gingivalis and its relative P. gulae; and (C) the evaluation of the gene family gain/loss events during the divergence of P. gingivalis and P. gulae; (D) the evaluation of the evolutionary pressure (represented by the calculation of Tajima-D values and dN/dS ratios) comparing gene families of P. gingivalis and P. gulae. Our analysis found 84 high-quality assemblies representing P. gingivalis and 14 P. gulae strains (from a total of 233 Porphyromonas genomes). Phylogenomic analysis confirmed that P. gingivalis and P. gulae are highly related lineages, close to P. loveana. Both organisms harbored open pangenomes, with a strong core-to-accessory ratio for housekeeping genes and a negative ratio for unknown function genes. Our analyses also characterized the gene set differentiating P. gulae from P. gingivalis, mainly associated with unknown functions. Relevant virulence factors, such as the FimA, Mfa1, and the hemagglutinins, are conserved in P. gulae, P. gingivalis, and P. loveana, suggesting that the origin of those factors occurred previous to the P. gulae - P. gingivalis divergence. These results suggest an unexpected evolutionary relationship between the P. gulae - P. gingivalis duo and P. loveana, showing more clues about the origin of the role of those organisms in periodontitis.
Validation of the German Montreal-Cognitive-Assessment-H for hearing-impaired
Authors: Völter Christiane , Fricke Hannah , Faour Sarah , Lueg Gero , Nasreddine Ziad S. , Götze Lisa , Dawes Piers
Published: July 2023

Background

Hearing loss and dementia are highly prevalent in older age and often co-occur. Most neurocognitive screening tests are auditory-based, and performance can be affected by hearing loss. To address the need for a cognitive screening test suitable for people with hearing loss, a visual version of the Montreal-Cognitive-Assessment was developed and recently validated in English (MoCA-H), with good sensitivity and specificity for identifying cases of dementia. As the MoCA is known to perform differently across languages, revalidation of the German MoCA-H was necessary. The aim of the present study was to assess the diagnostic accuracy of the German MoCA-H among those with normal cognition, mild cognitive impairment (MCI) and dementia and to determine an appropriate performance cut- off.

Materials and methods

A total of 346 participants aged 60–97 years (M = 77.18, SD = 9.56) were included; 160 were cognitively healthy, 79 with MCI and 107 were living with dementia based on the GPCOG and a detailed medical questionnaire as well as a comprehensive examination by a neurologist in case of cognitive impairment. Performance cut-offs for normal cognition, MCI and dementia were estimated for the MoCA-H score and z-scores using the English MoCA-H cut-off, the balanced cut-off and the Youden’s Index.

Results

A mean score of 25.49 (SD = 3.01) points in the German MoCA-H was achieved in cognitively healthy participants, 20.08 (SD = 2.29) in the MCI and 15.80 (SD = 3.85) in the dementia group. The optimum cut-off for the detection of dementia was ≤21 points with a sensitivity of 96.3% and a specificity of 90%. In the MCI group, a cut-off range between 22 and 24 points is proposed to increase diagnostic accuracy to a sensitivity and specificity of 97.5 and 90%, respectively.

Conclusion

The German MoCA-H seems to be a sensitive screening test for MCI and dementia and should replace commonly used auditory-based cognitive screening tests in older adults. The choice of a cut-off range might help to better reflect the difficulty in clinical reality in detecting MCI. However, screening test batteries cannot replace a comprehensive cognitive evaluation.
Unraveling the biomechanical properties of collagenous tissues pathologies using synchrotron-based phase-contrast microtomography with deep learning
Authors: Furlani Michele , Riberti Nicole , Di Nicola Marta , Giuliani Alessandra
Published: July 2023

Mechanical stimuli are regulators not only in cells but also of the extracellular matrix activity, with special reference to collagen bundles composition, amount and distribution. Synchrotron-based phase-contrast computed tomography was widely demonstrated to resolve collagen bundles in 3D in several body districts and in both pre-clinical and clinical contexts. In this perspective study we hypothesized, supporting the rationale with synchrotron imaging experimental examples, that deep learning semantic image segmentation can better identify and classify collagen bundles compared to common thresholding segmentation techniques. Indeed, with the support of neural networks and deep learning, it is possible to quantify structures in synchrotron phase-contrast images that were not distinguishable before. In particular, collagen bundles can be identified by their orientation and not only by their physical densities, as was made possible using conventional thresholding segmentation techniques. Indeed, localised changes in fiber orientation, curvature and strain may involve changes in regional strain transfer and mechanical function (e.g., tissue compliance), with consequent pathophysiological implications, including developmental of defects, fibrosis, inflammatory diseases, tumor growth and metastasis. Thus, the comprehension of these kinetics processes can foster and accelerate the discovery of therapeutic approaches for the maintaining or re-establishment of correct tissue tensions, as a key to successful and regulated tissues remodeling/repairing and wound healing.
Turkish-German heritage speakers' predictive use of case: webcam-based vs. in-lab eye-tracking
Authors: Özsoy Onur , Çiçek Büsra , Özal Zeynep , Gagarina Natalia , Sekerina Irina A.
Published: July 2023

Recently, Özge et al. have argued that Turkish and German monolingual 4-year-old children can interpret case-marking predictively disregarding word order. Heritage speakers (HSs) acquire a heritage language at home and a majority societal language which usually becomes dominant after school enrollment. Our study directly compares two elicitation modes: in-lab and (remote) webcam-based eye-tracking data collection. We test the extent to which in-lab effects can be replicated in webcam-based eye-tracking using the exact same design. Previous research indicates that Turkish HSs vary more in the comprehension and production of case-marking compared to monolinguals. Data from 49 participants–22 Turkish monolinguals and 27 HSs–were analyzed using a binomial generalized linear mixed-effects regression model. In the Accusative condition, participants looked for the suitable Agent before it is appeared in speech. In the Nominative condition, participants looked for the suitable Patient before it is appeared in speech. HSs were able to use morphosyntactic cues on NP1 to predict the thematic role of NP2. This study supports views in which core grammatical features of languages, such as case, remain robust in HSs, in line with the Interface Hypothesis. We were able to replicate the effect of the predictive use of case in monolinguals using webcam-based eye-tracking, but the replication with heritage speakers was not successful due to variability in data collection contexts. A by-participant analysis of the results revealed individual variation in that there were some speakers who do not use case-marking predictively in the same way as most monolinguals and most HSs do. These findings suggest that the predictive use of case in heritage speakers is influenced by different factors, which may differ across individuals and affect their language abilities. We argue that HSs should be placed on a native-speaker continuum to explain variability in language outcomes.
Mapping the Late Miocene Pyrenean Forests of the La Cerdanya Basin, Spain
Authors: Altolaguirre Yul , Postigo-Mijarra José Mª , Casas-Gallego Manuel , Moreno-Domínguez Rafael , Barrón Eduardo
Published: July 2023

The Late Miocene palaeofloras of the La Cerdanya Basin represent a unique look into the Pyrenean Miocene forested areas of the Iberian Peninsula at a time when the European warm and humid climate was experiencing progressive cooling and aridification. Macrofossils (leaves, seeds, fruits and cones) and miospores from several outcrops revealed the composition and abundances of the different plant species present in the area during the Tortonian and early Messinian geological stages (ca. 11.1–5.7 Ma). These fossils were found in the sediment deposits of an ancient lake system situated in the southwestern part of the basin. Previous studies indicated the presence of highly diversified mixed mesophytic forests with broadleaved evergreen and deciduous trees and conifers. However, the spatial structure and distribution of these forest types remains unknown. In the present work, the biomization method was used to infer the different late Miocene vegetation types from the basin. The extent of these vegetation types was calculated using a methodology for mapping vegetation units from fossil and biome data. While previous attempts at mapping Miocene vegetation units had a broad geographical scale, the present work aimed to map the extent of the vegetation units at a small scale, recreating local and specific vegetation changes in an abrupt basin. Results showed similarly high scores between for four biome types, which represent the different types of vegetation that coexisted in the basin during the Tortonian and the early Messinian: warm-temperate evergreen broadleaf and mixed woodlands (WTEM biome), temperate deciduous forests (TEDE) and cool conifer forests (COMX and COEG). Their extent was depicted in two vegetation maps, which account for differences in palaeoaltitude and palaeoclimate. These forests occupied different vegetation belts, which shifted upwards and downwards with climatic variations and the progressive uplift of the Pyrenees during the late Miocene. Azonal riparian forests and wetland vegetation occupied the more humid areas in the centre of the basin. Nonetheless, dry conditions during the early Messinian and decrease in the lake area degraded the wetland environments, which were partially replaced by broadleaved evergreen mixed woodlands.