bluuebunny/crossref_metadata_2025 huggingface dataset:
Robust Temporal Link Prediction in Dynamic Complex Networks via Stable Gated Networks with Reinforcement Learning
Authors: Yang Liping , Liu Hongbo , Sun Daoqiang , Liu Kai , Chen C.L. Philip
Published: July 2023

Robust Temporal Link Prediction in Dynamic Complex Networks via Stable Gated Networks with Reinforcement Learning
PIPELINE-GENERATED CONTINUOUS INTEGRATION AND DEPLOYMENT METHOD FOR AGILE SOFTWARE DEVELOPMENT
Authors: Bhardwaj Arvind Kumar , Rangineni Sandeep
Published: July 2023

This article presents a pipeline strategy for solving delivery issues, which speeds up the delivery process, simplifies testing, and enhances benchmarking. It increases stability and deliverability, reduces system disruption, and integrates numerous test phases.
Assessing the impact of computational resources to the Quality of Experience provided by vRANs
Authors: Baena Carlos , Hervás-Gutierrez Maria , Baena Eduardo , Villegas Javier , Barco Raquel , Fortes Sergio
Published: July 2023

This work aims to assess the impact of computational resources on the Quality of Experience (QoE) of video streaming services delivered over vRAN-based networks. The obtained results prove that inadequate resource assignment to vRAN instances leads to degradation of the QoE, even if the allocation of radio resources is adequate for the service
BUILDING A NEW CROWD-COUNTING ARCHITECTURE
Authors: Nguyen Viet Hung , Phong Pham Dinh
Published: July 2023

Crowd counting has become necessary in the age of information technology and network development; with many different goals, people have needed more services to meet their work. Therefore, crowd counting is also necessary for daily life, such as solid classrooms, vigorous meetings, conferences, etc. Based on practical needs, we propose counting the number of people in an image, known as crowd counting. Using several software techniques, we found that DM-Count outperformed previous advanced methods on two large-scale counting datasets by a wide margin in Mean Absolute Error. Furthermore, the VGG16 model for the algorithm does not certainly use the current

VGG19 and still shows good higher performance. We analyze multiple people marked with dots in each training image. Existing crowd-counting methods must either smooth each annotated drop with a Gaussian distribution or estimate the likelihood of each pixel given the annotated point. This paper proposes a crowd-counting model using deep learning and Computer Vision to improve performance by handling perspective distortion by intelligently using many features generated during coding. The use of Deep Learning and Computer Vision experimentally shows that our method can improve up to 34.91% Mean Absolute Error and 26.25% of Root Mean Squared Error compared to the referenced methods.
Naval Cybersecurity in the Age of AI: deceptive ISAR Images Generation with GANs
Authors: Meucci Giulio , Karahoda Bertan , Oveis Amir Hossein , Mancuso Francesco , Jajaga Edmond , Cantelli-Forti Alessandro
Published: July 2023

Navigational systems, the heart of maritime oper- ations, face escalating cybersecurity risks due to their system of systems nature and reliance on diverse suppliers. Amid concerns about supply chain attacks and insider threats, the potential for malicious radar image injections, including Inverse Synthetic Aperture Radar (ISAR) images, is emerging. Such manipulations can critically undermine navigational integrity through the generation of decoy targets, the strategic relocation of existing ones, and the effective concealment of additional targets. We have identified where an Advanced Persistent Threat (APT) could be concealed within the processing chain of a modern radar system. This study demonstrates the potential of APTs to exploit Generative Adversarial Networks (GANs) for the creation of deceptive ISAR images, thereby spotlighting this previously unexplored threat vector. Our findings offer novel insights into bolstering maritime cybersecurity in an increasingly AI-dominated landscape. 
Large Language Models are Extremely Bad at Creating Anagrams
Authors: King Michael
Published: July 2023

Much has been made of the remarkable abilities of generative artificial intelligence (AI) and large language models (LLMs) such as ChatGPT, and their ability to rapidly produce convincingly human-like text on demand. I set out to evaluate the ability of three popular LLMs (ChatGPT version GPT-4; ChatGPT version GPT-3.5; Google Bard) to construct anagrams, that is, pairs of words or phrases that use all of the same letters exactly once, rearranged into new meaningful words and phrases. These models have been previously demonstrated to perform well on text-based portions of general intelligence tests, successfully solving various word and mathematical puzzles in a manner that resembles elements of human general intelligence. Surprisingly, all three LLMs performed quite badly when prompted to generate anagrams related to a specific theme, succeeding in only 2.5% of anagram attempts overall, with only the GPT-4 version of ChatGPT producing any valid anagrams at all. All three LLMs successfully returned the correct definition of an anagram, along with providing one or more valid examples when queried. In summary, the failure of current LLMs to generate anagrams related to a specific theme provides a curious example of a “cognitive blind spot” in the performance of these otherwise impressive tools.
Reflectivity-Consistent Sparse Blind Deconvolution for Denoising and Calibration of Multichannel GPR Volume Images
Authors: Imai Takanori , Mizutani Tsukasa
Published: July 2023

 Vehicle-mounted multichannel ground penetrating radar (MC-GPR) facilitates acquisition of volume images of subsurface structures, but inconsistencies arise due to different transmitted wavelets from each antenna. This paper introduces a methodology, Reflectivity-Consistent Sparse Blind Deconvolution (RC-SBD), that estimates transmitted wavelets and stationary clutter for each antenna, thereby calibrating GPR volume images. Previous Sparse Blind Deconvolution was achieved by alternating minimization, producing a single transmitted wavelet and sparse ground reflectivity. RC-SBD utilizes an assumption of subsurface reflectivity smoothness in the horizontal direction, expressed via a total variation regularization term. This allows a wavelet to be derived for each channel. Stationary clutter variables, such as reflection from the vehicle itself and direct waves, are integrated into the model for simultaneous estimation. The objective function incorporates several ℓ2 and ℓ1 regularization terms and is solved using the Split Bregman algorithm augmented by a gradient method. Hyperparameters are determined through Bayesian optimization, aiming to maximize kurtosis of the frequency domain calibrated volume image. The proposed methodology was validated with synthetic data, demonstrating accurate wavelets estimation and significant denoising of volume image. Real-world data application revealed substantial enhancements in the channel depth cross section, visualizing responses of structures such as rebar and steel plates. Furthermore, calibrated image remained stable across diverse datasets, including earthwork and bridge sections, indicating the estimates’ versatility. 
Exact Diffusion Inversion via Bi-directional Integration Approximation
Authors: Zhang Guoqiang , Lewis Jonathan P , Kleijn Willem
Published: July 2023

The experiment on image editing is performed using open-source of https://github.com/salesforce/EDICT. The experiment for image sampling uses pre-trained models as described in the report.  
Generating DTM from DSM Using a Conditional GAN in Coastal Urban Areas of Japan
Authors: Oshio Haruki , Yashima Keiichiro , Matsuoka Masashi
Published: July 2023

The recent surge in floods requires developing a digital terrain model (DTM) with a high spatial resolution that is essential for risk assessment at the building level. To generate a DTM, it is necessary to remove nonground objects from the digital surface model (DSM) and interpolate the elevation of the removed area. However, automatically conducting this process requires input data other than the DSM and/or setting parameters suitable for the target region. Here, we used the pix2pix model that performs domain conversion using conditional adversarial generative networks to directly generate DTM from only DSM. DSM and DTM with a spatial resolution of 1 m for coastal urban areas of Japan were used to train and test the model. The test results showed that the root mean squared error (RMSE) of the generated DTM was 0.4 m for the entire dataset. The RMSE increased with the increasing nonground object height and nonground object coverage ratio in an image. However, the RMSE was approximately 1 m or less up to a nonground object height of 50 m and a coverage ratio of 0.7. This article demonstrates that pix2pix is effective in translating DSM into DTM in coastal urban areas.  
Multivariate Swarm Decomposition
Authors: Apostolidis Georgios , Zisou Charilaos , Hadjileontiadis Leontios
Published: July 2023

Adaptive signal decomposition methods are widespread in the field of nonstationary signal analysis. One such method is the Swarm Decomposition (SwD), which relies on the collective dynamics of a virtual swarm-prey model, in order to analyze a given univariate signal into a set of oscillatory components (OCs). In this paper, we present the generalization of the SwD method for the multivariate or multi-channel case, namely, the multivariate swarm decomposition (MSwD). Instead of performing channel-wise operations, we treat the signal in the N-dimensional space, utilizing a reformulated swarm filtering model, which is able to extract multivariate OCs. The frequencies of these dominant OCs are estimated based on a generalized cross-spectrum measure, which permits the analysis of signals with an arbitrary number of channels. Using synthetic signals, we study the mode alignment, quasi-orthogonality, filterbank properties, and robustness of the proposed approach. Particular emphasis is given to the robustness investigation, which is conducted in the systematic context of sensitivity analysis and Monte Carlo simulations, thus forming a generalized benchmark framework. The obtained results are compared to other well–known multivariate decomposition methods, such as the multivariate empirical mode decomposition and the multivariate variational mode decomposition, showcasing the efficiency of MSwD against them. Finally, we showcase the applicability and potential of the proposed MSwD in real-life signals, such as electroencephalography and subsurface oceanographic float signals, exemplifying its efficiency and contribution to accurately reveal their multi-component character.
Multi-Solution Inverse Design in Photonics using Generative Model
Authors: Kumar Preetam
Published: July 2023

 We have created an Inverse Design architecture that overcomes the non-uniqueness of nanophotonic structures by combining a genetic algorithm with a β Conditional Variational Autoencoder. This approach captures multiple solutions, providing flexibility in selecting design variables for specific requirements. Experimental validation involved designing variable thickness TiO2-SiO2 multilayer thin films in the visible range. The method provides a fast and robust photonics inverse design solution. 
Revolutionizing Education - Exploring the Potential of AI-Enabled Brain-Based Learning for Enhanced Cognitive Development
Authors: Seaba Victor
Published: July 2023

This research paper explores the integration of AI technology and Brain-Based Learning Theories in education, aiming to address a significant research gap and highlight their potential impact on cognitive development. While both AI technology and Brain-Based Learning Theories have been extensively studied and applied independently in the field of education, there is a lack of comprehensive research exploring their combined potential. This study delves into the theoretical foundations and guiding principles of brain-based learning, investigating its application in personalizing and enhancing learning experiences. It evaluates the current state of AI technology in education and examines how AI-powered brain-based learning techniques can improve student engagement, knowledge retention, and critical thinking skills. Ethical considerations and challenges associated with integrating AI into brain-based learning methodologies are acknowledged, and practical guidelines are provided for educators and decision-makers to effectively leverage AI in implementation. The research also examines the long-term effects of AI-enabled brain-based learning on educational systems, workforce readiness, and lifelong learning opportunities. Drawing on case studies and best practices from successful academic institutions, valuable insights are presented regarding the synergistic relationship between brain-based learning and AI. The paper proposes strategies for scaling and implementing AI-based brain-based learning approaches across diverse educational settings, with the aim of driving future innovations and advancements in education. Ultimately, this research sheds light on the transformative potential of AI-enabled brain-based learning, opening new avenues for educational improvement and advancement.
TRADISI MASYARAKAT BUDDHA SEBAGAI WISATA RELIGI
Authors: Andriani Putri Ayu
Published: July 2023

Pariwisata di Indonesia merupakan sektor unggulan keempat yang menyumbangkan devisa negara paling besar setelah Minyak & Gas Bumi, Batu Bara dan Minyak Kelapa Sawit pada tahun 2013. Indonesia memiliki banyak potensi kepariwisataan yang dapat menjadi modal pembangunan untuk peningkatan kemakmuran dan kesejahteraan rakyat Indonesia. Salah satu daya tarik wisata yang cukup banyak dikembangkan adalah wisata religi atau keagamaan. Namun masih sedikit upaya pemerintah dalam pengembangan objek wisata yang telah ada, sehingga belum dapat berkembang secara signifikan. Perkembangan agama buddha di Indonesia cukup pesat, dapat dilihat dari adanya rumah ibadah, tradisi dan peninggalan sejarah masyarakat Buddha yang telah dijadikan sebagai objek wisata. Penelitian ini bertujuan untuk mengidentifikasi penyebaran agama buddha dan wisata sejarahnya. Metode penelitian yang digunakan adalah deskriptif dengan kualitatif. Metode analisis data menggunakan analisis deskriptif. Hasil penelitian menunjukan bahwa telah terjadi perkembangan objek wisata religi di Indonesia khususnya wisata religi agama buddha.
Eco enzim untuk pengolahan air limbah tahu
Authors: Widyastuti Sri , Sutrisno Joko , Wiyarno Yoso , Gunawan Wawan , Nurhayati Indah
Published: July 2023

Pada umumnya air limbah industry tahu dibuang ke sungai tanpa diolah terlebih dahulu, sehingga berdampak tercemarnya lingkungan sekitar dan berbau kurang sedap. Penelitian ini bertujuan mengkaji pengaruh kadar eco enzim dan waktu tinggal terhadap penurunan BOD, COD dan TSS  air limbah industry tahu. Tiga metode perlakuan yang digunakan dalam penelitian ini yaitu penambahan konsentrasi eco enzim 10%, 15% dan 20% pada air limbah industri tahu. Penelitian dilakukan selama 20 hari. Analisis kualitas limbah dilakukan pada hari ke-10, 15 dan 20. Hasil penelitian menyatakan perlakuan yang paling efektif adalah penambahan eco enzim 10% dengan waktu tinggal 20 hari. Penurunan BOD, COD dan TSS tertinggi masing-masing sebesar 79,75%, 41,38% dan 77,45%.
Dostęp do zasobów informacji naukowej generowanej i udostępnianej lokalnie: serwisy WWW polskich instytucji akademickich z obszaru informatyki
Authors: Sapa Remigiusz
Published: July 2023

Teza/cel artykułu – Celem badań było rozpoznanie skali, specyfiki i potencjalnej przydatności zasobów informacji naukowej powstającej i upublicznianej lokalnie w serwisach WWW jednostek akademickich, jako podstawy do refleksji nad zasadnością i sposobem ich upowszechnienia. Metody badań – Badania, przeprowadzone w okresie od lutego do sierpnia 2011 r., zostały ograniczone do zasobów oferowanych w serwisach WWW 66 polskich jednostek akademickich funkcjonujących w obszarze informatyki. W ich efekcie dokonano analizy ilościowej i jakościowej zasobów danych, informacji i wiedzy naukowej udostępnianych w tych serwisach. Wyniki i wnioski – Stwierdzono dominację informacji o charakterze pragmatycznym, wyraźnie rzadsze występowanie informacji o zasobach wiedzy, sporadyczną dostępność pełnych tekstów i brak danych pochodzących z badań. Jednocześnie znaczne zróżnicowanie oferowanych zasobów pod względem charakteru i zakresu, nieporównywalność oferty poszczególnych serwisów WWW oraz częsty brak profesjonalizmu w udostępnianiu tych zasobów powodują, że próby szerszego włączenia ich do komunikacji naukowej wymagają efektywnej selekcji, promowania standardów publikowania i archiwizowania dokumentów cyfrowych oraz wypracowania rozwiązań pozwalających na ich włączenie w obszar percepcji naukowca.
Obowiązki i kompetencje przedstawicieli zawodów informacyjnych. Perspektywa pracodawcy
Authors: Jachimczyk Adam
Published: July 2023

Teza/cel artykułu – Zaktualizowana klasyfikacja zawodów i specjalności opublikowana przez Ministerstwo Pracy i Polityki Społecznej w 2010 r. wymienia nowe zawody związane z przetwarzaniem informacji: analityka informacji i raportów medialnych, analityka ruchu na stronach internetowych, brokera informacji, menedżera zawartości serwisów internetowych, specjalistę zarządzania informacją. W klasyfikacji brak jednak charakterystyki wspomnianych zawodów. Celem artykułu jest przedstawienie wymaganych przez pracodawców kompetencji pracowników informacji oraz zakresu ich obowiązków. Metody badań – Podstawą opracowania jest analiza 41 ofert pracy zamieszczonych między 2005 a 2013 r. w internetowych serwisach rekrutacyjnych. W badaniu uwzględniono branżę, którą reprezentuje pracodawca, opisy stanowisk pracy oraz wymagania stawiane pracownikom. Wyniki – Z analizy wynika, że pracodawcy, reprezentujący różnorodne branże, potrzebują wysoko wykwalifikowanych profesjonalistów, których charakteryzuje znajomość zagadnień związanych z przetwarzaniem informacji i zastosowaniem do tego celu technologii informacyjnej. Ponadto powinni oni: posiadać wiedzę z zakresu reklamy, marketingu, dziennikarstwa czy nauk społecznych. Wnioski – Klasyfikacja nie wyczerpuje listy profesji informacyjnych, gdyż rozwój technologiczny stale tworzy zapotrzebowanie na specjalistów w nowych zawodach związanych z przetwarzaniem informacji. Dynamiczny rozwój technologii informacyjnych wymaga dużej wszechstronności od pracowników informacji i stawia określone wymagania przed systemem edukacji, który obecnie nie zaspokaja potrzeb pracodawców działających w sektorze informacyjnym.
Nowa edycja ISO 11620:2008: Information and Documentation – Library Performance Indicators. Analiza przyczyn i źródeł nowelizacji normy
Authors: Głowacka Ewa
Published: July 2023

W artykule przedstawiono zalety oraz rozwój normy ISO 11620: Information and Documentation – Library Performance Indicators. Szczególnie przeanalizowano jej nową edycję z 2008 r. w poszukiwaniu źródeł nowych wskaźników i ich układu. Scharakteryzowano podręczniki oraz międzynarodowe i krajowe standardy wskaźników funkcjonalności mające wpływ na kształt omawianego wydania normy. Przedstawiono analizę różnic pomiędzy kolejnymi edycjami normy ISO 11620.
Rola bibliotekarzy w nauczaniu umiejetnosci informacyjnych gimnazjalistow. Wybrane zagadnienia
Authors: Antczak Mariola
Published: July 2023

Nowe podstawy programowe, obowiązujące od roku szk. 2009/10, zniosły formę ścieżek edukacyjnych, w tym ścieżkę Edukacja czytelnicza i medialna. Charakterystyczne dla niej treści zostały rozparcelowane w ramach różnych przedmiotów. Autorka artykułu komentuje nowe propozycje edukacyjne, wskazując przyczyny jej obaw dotyczących rezultatów realizowanej reformy. Skupia się na omówieniu i podkreśleniu roli bibliotekarzy bibliotek szkolnych i publicznych w edukacji informacyjnej młodzieży gimnazjalnej. Zwraca uwagę na znaczenie prawidłowego sformułowania głównego celu edukacji dla osiągnięcia jej rzeczywistego sukcesu. Na podstawie wyników przeprowadzonych przez siebie badań stwierdza, że nie jest on właściwie interpretowany przez środowisko szkolne, które cele edukacyjne upatruje głównie w zapewnieniu wysokiej zdawalności egzaminów. Autorka stawia również tezę, iż niewystarczające jest przygotowanie pod względem wiedzy i umiejętności informacyjnych nauczycieh przedmiotowych. Wykorzystując znany model Big 6 Skills, uzupełnia go własnymi propozycjami rozwiązań pomocnych w kształtowaniu w uczniach umiejętności informacyjnych i jednocześnie podkreśla rolę bibliotekarzy w nauczaniu tych umiejętności. W erze nagminnych plagiatów proponuje bibliotekarzom realizację zagadnień dotyczących dokumentowania informacji, które nie zostały precyzyjnie ujęte w podstawach programowych.
Dostęp online do informacji o doktoratach i do pełnych tekstow rozpraw bronionych w polskich uczelniach
Authors: Sapa Remigiusz
Published: July 2023

W artykule poddano analizie problem dostępności informacji na temat doktoratów i pełnych tekstów rozpraw bronionych w polskich uniwersytetach oraz udziału rodzimego środowiska akademickiego w ich gromadzeniu i udostępnianiu w postaci elektronicznej. Przedstawiono dokonane na drodze badań empirycznych ustalenia na temat zaangażowania różnych instytucji akademickich w te procesy, zasobów, w ramach których informacja bibliograficzna i pełne teksty doktoratów są udostępniane użytkownikom oraz charakterystykę podstawowych utrudnień, jakie może napotkać osoba zainteresowana ich pozyskaniem. Badania, przeprowadzone jesienią 2009 r., objęły przede wszystkim serwisy W W W dwudziestu polskich uczelni, ich bibliotek głównych, archiwów oraz oferowanych w ich ramach baz danych i katalogów, a także zasoby związanych z tymi uczelniami bibliotek cyfrowych. Artykuł zawiera też sugestie rozwiązań, które mogłyby pozwolić na przełamanie barier zidentyfikowanych w toku badań.
Analiza stanu zbiorów elektronicznych i warunków ich archiwizowania w polskich instytucjach bibliotecznych i wydawniczych
Authors: Januszko-Szakiel Aneta
Published: July 2023

W artykule przedstawiono wyniki badań przeprowadzonych w 2009 r., dotyczące zasobów elektronicznych polskich instytucji bibliotecznych. Celem tych badań było ustalenie, w jakiej kondycji są materiały elektroniczne zgromadzone w bibliotekach tradycyjnych i cyfrowych oraz, jaki jest poziom świadomości i nastawienie przedstawicieli polskich instytucji tworzących, gromadzących i zarządzających polskimi bibliotecznymi zasobami elektronicznymi, odnośnie do kwestii zabezpieczenia ich długoterminowej użyteczności. Omówiono również wnioski z rozmów na temat zapewnienia długoterminowej archiwizacji elektronicznych zasobów bibliotecznych z pracownikami Poznańskiego Centrum Superkomputerowo-Sieciowego.
Metoda analizy i krytyki piśiennictwa w nauce o informacji i bibliotekoznawstwie w XXI wieku
Authors: Cisek Sabina
Published: July 2023

Artykuł zawiera charakterystykę wybranych aspektów metody analizy i krytyki piśmiennictwa. Stwierdzono znaczący wzrost zainteresowania tym sposobem postępowania badawczego w informatologii i bibliotekoznawstwie w XXI w. Rozważono dwie podstawowe role analizy i krytyki piśmiennictwa w dociekaniach naukowych - pomocniczą, heurystyczną oraz niezależną, wiedzotwórczą. Wskazano jej fazy i warianty, w tym - wersję tradycyjną, przegląd systematyczny i metaanalizę. Przedstawiono wyniki badań pilotażowych, dotyczących niektórych własności metody analizy i krytyki piśmiennictwa we współczesnej nauce o informacji i bibliotekoznawstwie.
Kursy online w polskich bibliotekach akademickich
Authors: Kurkowska Ewa Jadwiga
Published: July 2023

Celem artykułu jest przedstawienie, w jakim stopniu polskie biblioteki akademickie realizują swoją funkcję edukacyjną korzystając z kursów e-learningowych. Do jego przygotowania wykorzystano wyniki badań polegających na analizie oferty tych bibliotek zamieszczonej na ich stronach internetowych. Kursy e-learningowe stały się jedną z form dydaktyki bibliotecznej, jednakże wiele spośród nich ma charakter zamknięty i w ograniczonym stopniu wykorzystuje narzędzia do samooceny studiujących. Większość z nich dotyczy przysposobienia bibliotecznego, w niewielkim stopniu rozwijane są pozostałe kompetencje informacyjne. Kursy e-learningowe w bibliotekach, chociaż są coraz częściej wykorzystywane – zwłaszcza w większych bibliotekach, wymagają jeszcze dopracowania.
Przysposobienie biblioteczne: od tradycyjnych metod nauczania po e-learning
Authors: Długołęcka Hanna
Published: July 2023

The article is to present the library instruction courses addressed to first year students and delivered by academic libraries, with particular attention drawn to e-learning tools and methods. The authoress begins with the discussion of contemporary educational tasks of academic libraries and lists most recent legislative acts which define the educational role of the libraries in question. Next, the library instruction courses from past to present are presented, with particular emphasis on the introduction of Internet to the libraries. The definition of e-learning serves as a starting point for the discussion of most recent trends in knowledge sharing and basic change in the model of teaching resulting from the use of online teaching methods. Then, the results of the phone survey on e-learning in library instruction are presented. The survey involved 59 libraries of public universities. The results of the survey show, among other things, that e-learning gains increasing number of proponents as a teaching method, although it does not fully satisfy the expectations of academic librarians. In authoress' opinion the blended learning method is the most suitable solution for library instruction.
E-BOOKI W BIBLIOTEKACH PUBLICZNYCH W POLSCE. WYNIKI BADAŃ WSTĘPNYCH
Authors: ŚWIĘĆKOWSKA TERESA
Published: July 2023

Teza/cel artykułu – Artykuł przedstawia wyniki badań wstępnych dotyczących udostępniania e-booków w bibliotekach publicznych w Polsce. Celem badania było rozpoznanie nowego zjawiska w fazie jego dynamicznego rozwoju w okresie od 2019 do 2021 r. Metody badań – Zastosowano metody charakterystyczne dla badań pilotażowych, czyli analizę tekstów oraz wywia- dy i ankiety, których celem było zidentyfikowanie ważnych aspektów zjawiska a także obszarów przyszłych badań. Wyniki/wnioski – Chociaż w badanym okresie wiele bibliotek zaczęło udostępniać e-booki, to skala tych usług w stosun- ku do usług tradycyjnych jest niewielka. W Polsce dominuje model kodowo-abo- namentowy, który – chociaż jest atrakcyjny dla czytelników bibliotecznych – jest drogi dla bibliotek i jego dostępność jest ograniczona. Model ten ujawnia też inne problemy, z którymi borykają się również biblioteki publiczne w innych krajach. Dotyczą one możliwości tworzenia własnych kolekcji, zapewnienia ciągłego do- stępu do e-booków, integracji metadanych czy poufności danych użytkowników korzystających z zewnętrznych platform.
BIBLIOTEKI AKADEMICKIE JAKO PRZESTRZENIE INNOWACJI
Authors: KOWALSKA-CHRZANOWSKA MAŁGORZATA
Published: July 2023

Teza/cel artykułu – Od lat 80. XX w. zarządzanie wiedzą i innowa- cyjność uznawane są za kluczowe czynniki sukcesu bibliotek akademickich, któ- re pozwalają im szybciej i skuteczniej reagować na zmieniające się otoczenie ze- wnętrzne. Celem artykułu jest zaprezentowanie rodzajów innowacji i projektów prorozwojowych wdrażanych w polskich bibliotekach akademickich w ostatnich pięciu latach (2017-2021). Metoda – W części pierwszej, autorka w świetle ana- lizy literatury przedmiotu przedstawia rodzaje innowacji wdrażane w polskich bibliotekach akademickich, w drugiej – na podstawie analizy projektów zgła- szanych do dofinansowania w ramach wybranych programów ministerialnych omawia rodzaje najczęściej dotowanych projektów prorozwojowych. Wnioski – Z przeglądu literatury fachowej wynika, że najczęstszymi rodzajami innowacji wdrażanymi w polskich bibliotekach akademickich w latach 2017-2021 były in- nowacje społeczne i organizacyjne. W porównaniu z bibliotekami zagranicznymi w obszarze innowacji organizacyjnych, innowacji komunikacyjnych i marketin- gowych nie zarysowały się istotne rozbieżności. Największe różnice ujawniły się w obszarze innowacji produktowych i technologicznych. Analizowana literatura przedmiotu nie wykazała w polskich bibliotekach akademickich wdrożeń cloud computingu, technologii blockchain, rozszerzonej rzeczywistości czy sztucznej inteligencji. Z kolei weryfikacja projektów finansowanych ze środków ministe- rialnych uwidoczniła przewagę finansowania procesów opracowywania, digita- lizacji i udostępniania zbiorów w wersji elektronicznej oraz mniejsze wydatkowa- nie środków na tworzenie repozytoriów, baz i banków danych.
Analysis on the Damage and Weathering Cause of Architectural Heritage Along the Maritime Silk Road: A Case Study of Minledou Wharf
Authors:   School of Architecture & Civil Engineering – Shenyang University of Technology – Shenyang City – China, 110870, WANG Xiaoyu , WANG Jianghua ,   School of Architecture, Tianjin University, Tianjin City, China, 300072, WANG Jing ,   School of Architecture & Civil Engineering – Shenyang University of Technology – Shenyang City – China, 110870, TANG Yue ,   The Department of Architecture and Built Environment, University of Nottingham, Park Campus, NG7 2RD, United Kingdom
Published: July 2023

To better protect architectural heritage along the Maritime Silk Road, this paper selected Minledou wharf as the research object, field surveys and mapping were carried out; infrared thermal imager photography was conducted, and peeling granite stone samp
Risk Assessment of Various Trees Grown in the Inner Part of First Zone to the Preservation of Borobudur Temple
Authors:   Research Center for Biosystematic and Evolution, Indonesian Research and Inovation Agency (BRIN), Jalan Raya Bogor KM 46 Cibinong, Bogor, 16911, West Java, Indonesia., METUSALA Destario , TRIMANTO  ,   Research Center for Plant Conservation, Botanic Garden and Forestry, Indonesian Research and Innovation Agency (BRIN), Jalan Raya Bogor KM 46 Cibinong, Bogor, 16911, West Java, Indonesia., MUKAROMAH Laily ,   Research Center for Plant Conservation, Botanic Garden and Forestry, Indonesian Research and Innovation Agency (BRIN), Jalan Raya Bogor KM 46 Cibinong, Bogor, 16911, West Java, Indonesia, LESTARI Dewi Ayu ,   Research Center for Plant Conservation, Botanic Garden and Forestry, Indonesian Research and Innovation Agency (BRIN), Jalan Raya Bogor KM 46 Cibinong, Bogor, 16911, West Java, Indonesia, FAUZIAH  ,   Research Center for Plant Conservation, Botanic Garden and Forestry, Indonesian Research and Innovation Agency (BRIN), Jalan Raya Bogor KM 46 Cibinong, Bogor, 16911, West Java, Indonesia., MAS’UDAH Shofiyatul ,   Research Center for Plant Conservation, Botanic Garden and Forestry, Indonesian Research and Innovation Agency (BRIN), Jalan Raya Bogor KM 46 Cibinong, Bogor, 16911, West Java, Indonesia., HABIBI Mohamad ,   Borobudur Conservation Office (Museum dan Cagar Budaya Warisan Dunia Borobudur), Jl. Badrawati, Borobudur, Magelang, Central Java, Indonesia., SWASTIKAWATI Ari ,   Borobudur Conservation Office (Museum dan Cagar Budaya Warisan Dunia Borobudur), Jl. Badrawati, Borobudur, Magelang, Central Java, Indonesia., PURWOKO Albertus Widyo ,   Borobudur Conservation Office (Museum dan Cagar Budaya Warisan Dunia Borobudur), Jl. Badrawati, Borobudur, Magelang, Central Java, Indonesia.
Published: July 2023

The Borobudur complex temple constitutes an architectural masterpiece representing the nature of Buddhist symbols and their natural surroundings. Vegetation around the temple, especially the trees grown in the inner part of zone 1, plays a very important
Bio-Char And Bio-Oil Production From Pyrolysis of Palm Kernel Shell And Polyethylene
Authors:   Faculty of Civil Engineering & Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia, IBRAHIM Nur Rahimah , AHMAD Razi ,   Faculty of Civil Engineering & Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia; Water Research and Environmental Sustainability Growth (WAREG), Center of Excellence (COE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia., WAN AHMAD Wan Amiza Amneera ,   Faculty of Civil Engineering & Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia; Water Research and Environmental Sustainability Growth (WAREG), Center of Excellence (COE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia., VIKNESWARAN Vijean ,   Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Pauh Putra Campus, Perlis, Malaysia, SANTIAGOO Ragunathan ,   Faculty of Civil Engineering & Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia; Sustainable Environment Research Group (SERG), Center of Excellence Geopolymer and Green Technology, Universiti Malaysia Perlis, Perlis, Malaysia., MOHAMMED Syakirah Afiza ,   Faculty of Civil Engineering & Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia; Water Research and Environmental Sustainability Growth (WAREG), Center of Excellence (COE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia., KHALID Amrie Fadzrul ,   Faculty of Civil Engineering & Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia, ANI Asnida Yanti ,   Faculty of Applied Science, University Teknologi MARA, Perlis Branch, Arau Campus, Arau, Perlis, Malaysia
Published: July 2023

In recent years, palm kernel shell (PKS) has become a viable feedstock for making biofuels and value-added commodities using a variety of thermal conversion routes. Therefore, significant conservation is required for PKS as a resource for fuel production
THE VALUE OF PARACLINICAL EXAMINATIONS IN ORAL PATHOLOGY IN CHILDREN AND YOUNG PEOPLE WITH SOME BLOOD DISCRASIONS
Authors:   ", Decusara Mioara ,   “Dunarea de Jos” University of Galati, Galati, Faculty of Medicine and Pharmacy,  47 Domneasca Street, 800008, Galati, Romania", Pacurar Mariana ,   "The University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș,  Faculty of Dental Medicine, 38 Gh. Marinescu, 540139, Targu Mures, Romania"
Published: July 2023

Blood diseases cause changes in oral structures, the analysis, diagnosis and interpretation of which often present particular difficulties for several reasons. Based on these considerations, the aim of the present study is to evaluate a group of patients with blood dyscrasias –all and anemia, in terms of the correlation between disease status and oral manifestations. The study group consisted of 55 children and young people, aged 6-18, hospitalized in the Clinical Hospital for Children in Galati. A control group of 68 children, of the same age and with a similar distribution by sex, selected from the patients examined and treated in two school offices, was used for comparison. Thus, the relative viscosity of the parotid saliva is 1.5 of the submandibular saliva of 3.4 and of the sublingual saliva of 13.4. Viscosity also depends on the amount of mucin, which in turn is inversely proportional to the amount of secreted saliva. In conditions such as blood dyscrasias, the rate of resting salivary flow and the rate of stimulated salivary flow decrease, thus increasing both carioactivity and individual cariogenic risk
PHYSIOLOGICAL AND PATHOLOGICAL ASPECTS OF THE AGING PROCESS
Authors:   Faculty of Dental Medicine, University of Medicine and Pharmacy Gr.T.Popa, Iasi, Romania, Virvescu Dragos , Fratila Dragos Nicolae ,   Faculty of Dental Medicine, University of Medicine and Pharmacy Gr.T.Popa, Iasi, Romania
Published: July 2023

Demographic changes in the world have begun to raise concerns among experts that health systems, pension funds, as well as health insurance companies and the public funding system will be affected in the long run, changes that will be severely affected by the rapid growth of population. The extent of older people's needs is growing and includes environmental, psychological, social, educational and financial functional confluences as well as physiological and structural problems. The elderly challenge the health care systems due to multiple levels of their needs. In general, medical problems are the result of poor nutrition, deviation of physiological constants, disorders in regulating the inflammatory reaction, walk disorder, immobility, confusion, syncope, sleep disorders. As a result, even the road to the pharmacy can be a torment. The physiological changes that occur as we age are undeniable. The most common visible changes are related to greying hair, changes in the perception of the sense organs, changes in the appearance of the skin, muscle tone, etc. Loss of vision may be a barometer of the onset of aging in somatically healthy patients
Transient receptor potential melastatin 7 signaling in U251 cell migration and invasion involves calcineurin
Authors: Gong Haifan , Wong Raymond x , Bandura Julia , Rutka James T. , Feng Zhong-Ping , Sun Hong-Shuo
Published: July 2023

Transient receptor potential melastatin 7 (TRPM7) is a divalent cation channel that has crucial functions in glioblastoma (GBM), which remains the most prevalent and lethal primary brain tumor in adults. Altering TRPM7 activity has previously been reported to affect GBM cell function (i.e., migration, invasion, and proliferation), thus elucidating the TRPM7-mediated signaling pathway in GBM could reveal novel therapeutic targets. Calcineurin, a Ca2+-dependent phosphatase, also influences GBM cell survival and migration. However, the role or the relationship between TRPM7 and calcineurin in GBM signaling has not previously been investigated. In this study, we provide evidence that there is a possible interaction between TRPM7 and calcineurin in the GBM cell line U251. Moreover, we employed pharmacological approaches to show that TRPM7 regulates calcineurin function, thereby suggesting that calcineurin is a potential downstream target of TRPM7 signaling in U251 cell migration and invasion.
Troglodyte settlements on the Loess Plateau of China: Challenges to sustainable tourism-oriented development
Authors: Genovese Laura , Varriale Roberta
Published: July 2023

Troglodytism is one of the most representative cultural expressions of geo-architecture. On the Loess Plateau of China, several significant examples of this approach to urban development can be found. Sometimes abandoned, sometimes still inhabited, cave settlements are precious examples of living heritage in rural and internal areas, which are at the risk of disappearance. Tourism is one of the strategies to revitalize these settlements, but it might be both an opportunity and a risk. A balance between conservation and development must be found, and a paradigm change is needed. Chinese cases can serve as a reference for solutions for this type of cave heritage, on which a debate has only recently begun at a global scale. This study introduces the classification of cave settlements based on the Underground Built Heritage theoretical approach. Chinese cases in Shanxi and Shaanxi provinces are illustrated on a comparative level. Tourism-oriented reuse and enhancement practices are analyzed and discussed in the context of national and international scenarios. In addition, criticalities and opportunities for the future are illustrated.
A Modified Binary Arithmetic Optimization Algorithm for Feature Selection
Authors: Ranjan Rajesh , Chhabra Jitender Kumar
Published: July 2023

Feature selection chooses the optimal subset from the feature set without scarifying the information carried by the dataset. It is considered a complex combinatorial problem, so classical optimization techniques fail to solve it when the feature set becomes larger. Meta-heuristic approaches are well known to solve complex optimization problems; hence these algorithms have been successfully applied to extract optimal feature subsets. The arithmetic Optimization Algorithm is a newly proposed mathematics-based meta-heuristic search algorithm successfully applied to solve optimization problems. However, it has been observed that AOA experiences a poor exploration phase. Hence in the present work, a Modified Binary Arithmetic Optimization Algorithm (MB-AOA) is proposed, which solves the poor exploration problem of standard AOA. In the MB-AOA, instead of utilizing a single best solution, an optimal solution set that gradually shrinks after each successive iteration is applied for better exploration during initial iterations. Also, instead of a fixed search parameter (μ), the MB-AOA utilizes a variable parameter suitable for binary optimization problems. The proposed method is evaluated over seven real-life datasets from the UCI repository as a feature selection wrapper method and compared with standard AOA over two performance metrics, Average Accuracy, F-score, and the generated feature subset size. MB-AOA has performed better in six datasets regarding F-score and average accuracy. The obtained results from the simulation process demonstrate that the MB-AOA can select the relevant features, thus improving the classification task’s overall accuracy levels.
Evaluation of a Comprehensive international web based educational program for Nursing Students During the COVID 19 pandemic
Authors: Johis Ortega  , Juan M. Gonzalez  , Karina Gattamorta  , Carlos Arismendi  , Alquidia Mercedes Duran  , Rosa (Rocio) Billini-Franco
Published: July 2023

Background: The ongoing COVID-19 pandemic has significantly impacted nursing education in developing anddeveloped countries. In response to pandemic-related challenges such as campus shut downs, nursing schoolsimplemented open and distance learning programs (ODL) that allowed them to continue offering nursingeducation. This paper reports on an ODL patient safety course implemented during the COVID-19 pandemic thatwas also used to facilitate an international, cross-cultural learning experience.Method: Forty undergraduate senior nursing students in the United States (U.S.) and the Dominican Republic(D.R.) enrolled in a synchronous and asynchronous ODL nursing patient safety course implemented by [Blinded]in conjunction with [Blinded].Results: Thirty-seven students completed all of the program requirements. The majority of students rated theircourse experience highly; they agreed or strongly agreed with all course evaluation statements, including whethertheir overall course evaluation was positive (95%) and whether the curriculum was culturally appropriate (97%).Conclusions: Our experience in implementing a nursing patient safety ODL course can serve as a model for (1)how ODL can help nursing schools respond to restrictions imposed by an ongoing pandemic; (2) how ODL can beused to enhance cross-cultural nursing education; and (3) how nursing schools can collaborate effectively acrossborders.
Pregnant women’s Knowledge About Exercise During Pregnancy: Military Hospital-2022
Authors: Manal Elzein Musa Ismail  , Mohammed Khalid Hussein
Published: July 2023

Introduction: Exercise is a bodily activity that improves or maintains physical fitness and overall health andwellness exercise during pregnancy is important and can help with some common discomforts of pregnancy andeven help prepare the pregnant women body for labor and delivery. (6)Objective: To study the pregnant women knowledge regarding exercise during pregnancy.Methods This is a descriptive cross sectional hospital base study which was carried out in military hospital inKhartoum state - Sudan, the data were collected by structured questionnaire and analyzed using the statisticalprogram for social sciences (SPSS) version 21Convenient sampling technique was used and the samples were 70pregnant women. The knowledge is categorized good (>60%), Moderate (50%-60%), poor (< 50%). A statisticalsignificance was considered at p-value of < 0.05.Result: The study revealed that the total mean knowledge about type of exercise was (95.7%), walking was themost common exercise among the study sample, 90.0 believe that exercise during pregnancy facilitates normaldelivery, and vaginal bleeding was considered as contraindication among (84.3%). factors influencing exerciseduring pregnancy (31.4%) said fear from complication is one of the factors influencing exercise during pregnancyThe overall knowledge of pregnant women about exercise during pregnancy was poor (36.3%:).Conclusion: Nursing education is the major tasks of nursing profession. The study concluded that there isinsufficient knowledge of pregnant women about exercise during pregnancy 52 (74.3%). Fallowed by no relationbetween educational level, age and knowledge about type of exercise, regarding benefits and contraindications toexercise during pregnancy (p. value < 0.05). so the study recommended to conduct more researches to enhance inincreasing mother’s knowledge about exercise during pregnancy.
The Impact of Collaborative Testing on Teamwork and Collaboration in Nursing Students
Authors: Mary Radford  , Christy Blount
Published: July 2023

Teamwork and collaboration are inherent to the work of a nurse. In a post-pandemic nursing education world,students need more opportunities to collaborate and work as a team.Clinical and classroom strategies in nursing education are often group-based to help support development ofteamwork and collaboration skills. Testing is often omitted from being group-based but could be included asa strategy to increase teamwork and collaborative skills. The purpose of this study was to examine the effectof collaborative testing on teamwork and collaboration in nursing students. Post-implementation survey resultsprovided support for the continued used of collaborative testing as the overall outcomes were positive.
Effectiveness of Google Classroom as an online Tool in Teaching and Learning: B.Sc. (Nursing) Student’s Perception
Authors: S. Ani Grace Kalaimathi
Published: July 2023

Introduction: The global Covid-19 pandemic led to the need for educators to explore online platforms in deliveringlessons to students. It has impacted the way things are done in walks of life including nursing education in bothdeveloping and developed countries.Methods: A descriptive correlational study was conducted to determine the effectiveness of Google Classroom(GCR) as an online Tool in Teaching and Learning: B.Sc (Nursing) Student’s Perceptions using survey approachamong 20,000 undergraduate nursing students studying 1st year to final year in more than 208 nursing institutions.The students were selected using purposive sampling technique. After obtaining permission and informedconsent from the participants, data was collected using pretested and validated tools such as background variablesproforma of nursing students and rating scale on effectiveness of Google classroom in improving the learningoutcomes of the students using Google forms through WhatsApp and e-mails. The collected data was analyzedusing descriptive and inferential statistics.Results: Most of the students had positive perception with overall mean and standard deviation showingeffectiveness of GCR as an online tool m=81.64, SD=10.41.Conclusion: Implementation of online learning in Nursing education has been perceived favorably by majority ofthe students.It is important for instructors and institutions to consider the needs and preferences of their studentswhen designing and delivering courses, and also to provide adequate support and resources to ensure thatstudents are able to have an innovative learning experience.