bluuebunny/crossref_metadata_2025 huggingface dataset:
Нотатки до знахідок судинних рослин в Україні ІІ
Authors: Мойсієнко І.І. , Шиндер О.І. , Орлов О.О. , Шевера М.В. , Шевчик В.Л. , Калашнік К.С. , Коломійчук В.П. , Лавріненко К.В. , Баранський А.Р. , Борсукевич Л.М. , Барановський Б.О. , Левон А.Ф. , Кошелев В.О. , Кармизова Л.А. , Чорна Г.А. , Пашкевич Н.А. , Солонченко Ю.В. , Мамчур Т.В. , Драбинюк Г.В. , Підтикана Н.О. , Скобель Н.О.
Published: July 2024

У цьому повідомленні наведено нові дані щодо судинних рослин в Україні. У ньому наведені нові відомості щодо поширення в Україні 82 видів: Acer monspessulanum, Aconitum anthora, Amaranthus deflexus, Anthriscus cerefolium, Asplenium ruta-muraria, Arabis alpina, Artemisia argyi, A. sieversiana, A. verlotiorum, Berberis aquifolium, Bolboschoenus glaucus, Calepina irregularis, Centaurea borysthenica, Cephalanthera longifolia, Cirsium esculentum, Clematis vitalba, Coreopsis grandiflora, Corydalis caucasica, C. cava subsp. marschalliana Crithopsis delileana, Cucumis melo, Cydonia oblonga, Cyperus odoratus, Dasy-pyrum villosum, Dracocephalum ruyschiana, Eragrostis pilosa, Erechtites hieraciifolius, Eriochloa villosa, Euphorbia glyptosperma, E. lathyris, E. prostrata, Fallopia baldschuanica, Ficus carica, Galanthus nivalis, Galium humifusum, Goodyera repens, Gymnocladus dioicus, Hedera helix, Heliotropium stevenianum, Hesperis matronalis subsp. matronalis, Huperzia selago, Hypericum polyphyllum, Iris foetidissima, Lagurus ovatus, Laser trilobum, Rhaponticum repens, Limonium alutaceum, Lipandra polysperma, Luzula luzuloides, Nymphoides peltata, Oenothera glazioviana, Opuntia humifusa, Ostericum palustre, Peganum harmala, Peuce-danum latifolium, Phragmites australis subsp. isiacus Phytolacca americana, Pilosella flagellaris, Pistia strati-otes, Platanthera chlorantha, Poa remota, Primula vulgaris, Reynoutria × bohemica, Rubus × idaeoides, Salix daphnoides, Saxifraga tridactylites, Schoenoplectus litoralis, Smyrnium perfoliatum, Sorghum halepense, Stellaria neglecta, Symphyotrichum ciliatum, Tragus racemosus, Trifolium incarnatum, T. lupinaster, Tripolium pannonicum, Typha domingensis, Veronica argute-serrata, V. cardiocarpa, Vincetoxicum fuscatum, Vitis riparia, Utricularia australis and U. minor. Деякі знахідки стосуються крупних регіонів, що включають декілька областей. Більшість нових знахідок наведено для адміністративних областей України: чотирнадцять видів наводяться вперше для Кіровоградської області, тринадцять – Житомирської, одинадцять – Одеської, сім – Миколаївської та Закарпатської, п’ять – Херсонської, чотири – Дніпропетровської та Київської, три – Рівненської, Вінницької та Житомирської, два – Івано-Франківської, Львівської, Тернопільської, Хмельницької та Автономної республіки Крим, один – Волинської, Запорізької, Чернівецької областей та міста Києва. Також вказуються локалітети ряду рідкісних видів судинних рослин, у тому числі видів, включених до Червоної книги України, та ряду регіонально рідкісних видів рослин.
A motivação na aprendizagem musical em projetos sociais: NEOJIBA, no Brasil, e Orquestra Geração, em Portugal
Authors: Nóbrega Ariana Perazzo da
Published: July 2024

O estudo teve como objetivo investigar fatores relacionados à motivação na aprendizagem musical de crianças e jovens participantes de dois projetos sociais. Com relação aos objetivos específicos, destacam-se: investigar a influência da interação entre o ambiente (projetos selecionados) e os fatores individuais (crenças, metas, autoconceito e comportamento) na motivação, e identificar as dimensões pessoais e sociais envolvidas no processo de aprendizagem musical. NEOJIBA, no Brasil, e a Orquestra Geração, em Portugal, foram os dois projetos selecionados para este estudo. Fundados em 2007 e consolidados, ambos têm se destacado pelos resultados positivos apresentados. O modelo de motivação em música de Susan Hallam foi adotado para esta investigação. Abordagens qualitativa e quantitativa foram utilizadas, e a análise documental, a realização de entrevistas semiestruturadas, notas de campo e observação de ensaios, aulas e concertos foram os métodos de coleta de dados aplicados. O estudo mostrou uma intensa interação entre os fatores individuais e ambientais, influenciando na motivação dos alunos durante o processo de aprendizagem. A prática musical coletiva evidenciou uma grande influência na motivação dos participantes. Concluiu-se que os projetos parecem trazer grandes contribuições para o desenvolvimento de competências emocionais, sociais e cognitivas, além de musicais.
Religious Attraction and Its Discontents: Tensions Surrounding the Monachization of Baptized Jews in Early Modern Italy
Authors: Herzig Tamar
Published: July 2024

Both female monasticism and Jewish conversion acquired an accentuated significance in Catholic Europe during the age of reformations. Their convergence was ritually expressed in the celebration of the monastic vestition of converts from Judaism. This article centres on the experiences of baptized Jewish girls who entered monastic communities, based on an analysis of cases from central and northern Italy. It argues that Church authorities valued the radical break of formerly Jewish girls with the religious traditions of their ancestors. Yet at the same time, the highly esteemed attraction to female monasticism on the part of baptized Jews could also arouse considerable anxiety, which led to distancing attempts. These, the article suggests, were manifested by restricting converts’ monastic professions to designated institutions; by giving the cold shoulder to baptized Jews who took the veil and socially isolating them within their communities; or by not assisting sickly neophytes to fulfill their religious vocations.
أثر تدريب المهام المزدوجة في القدرة الانفجارية وبعض المهارات المركبة لناشئي كرة اليد 14-16 سنة
Authors: Asst. Lect. Mustafa Ahmed Kadhem  , Prof. Dr. Ahmed Youssef Miteb  , Prof. Dr. Haider Muhammad Abdel Hadi3
Published: July 2024

تتسم لعبة كرة اليد الحديثة بسرعة وقوة الاداء طيلة فترة المباراة وهذا يتطلب من اللاعبين امتلاك مستوى عال من المهارات المركبة بالإضافة مستوى مناسب من التكيفات الوظيفية التي تؤهلهم للاستمرار بالأداء الإيجابي والفعال حتى نهاية المباراة. من خلال خبرة الباحثون في مجال اللعبة وملاحظتهم للتدريبات الميدانية لاحظوا ان التدريب يتسم بالبساطة وغالبية التمارين تتضمن مهمة واحدة وواجب حركي محدد مما يجعل مستوى الأداء وخصاصة البدنية و الفنية لدى اللاعبين لا تنسجم مع متطلبات المباريات في لعبة كرة اليد التي تتميز بالديناميكية الاحداث بالإضافة الى المهام الفنية والخططية المتزامنة والمتتابعة التي يتطلبها التفوق في المباريات لذى ارتأى الباحثين استعمال تمرينات المهام المزدوجة كوسيلة تدريبية حديثة  لتعقيد الاحمال التدريبية لغرض تطوير القدرة الانفجارية وادائهم  المهاري المركب في لعبة كرة اليد. وكانت اهداف البحث اعداد تمرينات المهام مزدوجة للاعبين كرة اليد بأعمار 14 – 16 سنة ومعرفة تأثير تمرينات المهام المزدوجة في القدرة الانفجارية وبعض المهارات المركبة لدى لاعبي كرة اليد بأعمار 14 – 16 سنة. إنٌ مشكلة البحث هي التي تحدد نوع المنهج المستعمل الذي يختاره الباحثون للوصول إلى النتائج المطلوبة لذا استعمل الباحثون المنهج التجريبي بتصميم (المجموعتين التجريبية-الضابطة) بالاختبار القبلي والبعدي لملائمته لطبيعة ومشكلة البحث تم تحديد مجتمع البحث بلاعبي كرة اليد الناشئين في نادي كربلاء الرياضي والبالغ عددهم (28) لاعب قسموا على مجموعتين تجريبية وضابطة قوام كل مجموعة (14) لاعب. تم تنفيذ التمرينات بواقع 3 وحدات في الأسبوع ولمدة ثمانية أسابيع في الاعداد الخاص للفريق، حيث تشكل التمرينات جزء من القسم الرئيس، استخدم الباحثون الحقيبة الإحصائية (spss) في تحليل نتائج البحث.
Widespread disruption of resonant chains during protoplanetary disk dispersal
Authors: Hansen Bradley M S , Yu Tze-Yeung , Hasegawa Yasuhiro
Published: July 2024

We describe the evolution of low mass planets in a dispersing protoplanetary disk around a Solar mass star. The disk model is based on the results of , which describes a region of the inner disk where the direction of the migration torque is outwards due to the diffusion of the stellar magnetic field into the disk and the resultant gradual increase in surface density outwards. We demonstrate that the magnetospheric rebound phase in such a disk leads to diverging orbits for double and triple planet systems, and the disruption of a high fraction of the initial resonant chains.

We present simulations of three planet systems, with masses based on the observed triple planet systems observed by the Kepler satellite,

within the context of this model. The final distribution of nearest neighbour period ratios provides an excellent fit to the observations, provided that the initial configurations {}. The occurrence rate of planets as a function of orbital period also provides a good match to the observations, for final orbital periods P<20~days.

These results suggest that the period and period ratio distributions of low mass planets are primarily set in place during the disk dispersal epoch, and may not require significant dynamical evolution thereafter.
Clinical pharmacy and telemedicine: an opportunity to improve epilepsy management
Authors: Moscogiuri Rossella
Published: July 2024

Clinical pharmacy, as defined by the European Society of Clinical Pharmacy, is a comprehensive professional practice encompassing all pharmacist profiles regardless of the setting. It focuses on promoting optimal drug utilization for patient-centric clinical outcomes. Telemedicine leverages information and communication technologies for remote healthcare delivery, bridging geographical gaps. The integration of clinical pharmacy and telemedicine is crucial in modern healthcare paradigms, especially for patients with chronic illnesses. In 2021, marketing authorization was granted for cenobamate as adjunctive treatment for focal-onset seizures with or without secondary generalization in adults with epilepsy who have not been adequately controlled despite a history of treatment with at least two antiepileptic medicinal products. This review emphasizes the synergistic role of clinical pharmacists and neurologists in utilizing telemedicine for patient counselling, drug information dissemination, adverse drug reaction surveillance, and personalized medication management within the context of epilepsy care. This integration could enhance patient safety, therapeutic outcomes and address socio-economic challenges faced by chronic patients.
Comparative Analysis of Machine Learning Algorithm Performance in Predicting Stunting in Toddlers
Authors: Syahfitri Nur’aini Indah , Juledi Angga Putra , Muti’ah Rahma
Published: July 2024

Stunting is a condition where the growth of children and toddlers is stunted, which causes children to be shorter than they should be. In the long term, stunting can reduce reproductive health, study concentration, and work productivity, thereby causing significant state losses. The prevalence of stunting in Indonesia, which is still above 20 percent, shows that there are still chronic nutritional problems among toddlers. To prevent this from happening, identification as early as possible can be done using machine learning for predictions. The aim of this research is to conduct a comparative analysis of the performance of machine learning algorithms for predicting stunting in toddlers. Random Forest, K-Nearest Neighbors, and Extreme Gradient Boosting are the algorithms that are compared for their performance. The performance of each algorithm is measured using evaluation matrices such as accuracy, precision, recall, and f1-score. The research method starts with data collection, data preprocessing, data splitting, application of machine learning algorithms, evaluation of algorithm performance, and comparison of results. The performance evaluation matrix measurement results show that Random Forest has an accuracy of 99.95%, precision of 99.89%, recall of 99.94%, and f1-score of 99.91%. K-Nearest Neighbors has an accuracy of 99.93%, precision of 99.87%, recall of 99.88%, and f1-score of 99.88%. Meanwhile, Extreme Gradient Boosting has an accuracy of 99.36%, precision of 98.86%, recall of 98.95%, and f1-score of 98.90%. From the results of all performance evaluation matrices, it can be concluded that the random forest algorithm is the best algorithm for predicting stunting in toddlers.
Sentiment Analysis of Genshin Impact on X: Mental Health Implications Using TF-IDF and Support Vector Machine
Authors: Jaya Sava Irhab Atma , Zeniarja Junta
Published: July 2024

Genshin Impact are now an integral part of daily life for many, potentially influencing mental well-being. Sentiment analysis window into these emotional effects, especially given the varied findings on gaming's impact on mental health. Analyzing X responses Genshin Impact using Support Vector Machine crucial, given its effectiveness in sentiment analysis. This study aims to deepen our understanding game's psychological impact and support development mental health interventions for gamers. The SVM classification report shows promising precision: 0.68 for Negative, 0.63 for Neutral, and 0.72 for Positive sentiment. However, recall rates favor Positive reviews (0.87) over Negative (0.56) and Neutral (0.51), reflected in the F1 score, highest for Positive sentiment at 0.79. With 174 Negative, 216 Neutral, and 333 Positive support counts, model achieved an overall accuracy of 0.69, effectively classifying Genshin Impact reviews based on sentiment. Analysis findings suggest a prevalence of positive opinions, indicating widespread player satisfaction with the game.
Implementation Transfer Learning on Convolutional Neural Network for Tubercolosis Classification
Authors: Putra Adya Zizwan , Prayugo Reynaldi , Siregar Rizki Mudrika Alfanda , Syabani Rizky , Simarmata Allwin
Published: July 2024

Tuberculosis (TB) is an infectious disease that can have serious effects on the lungs and is among the top 10 causes of death worldwide. This disease is caused by the transmission of Mycobacterium tuberculosis bacteria through the air when coughing or sneezing. Without treatment, pulmonary tuberculosis can result in permanent lung damage and can be life-threatening. Accurate and early diagnosis is crucial for effective treatment and control of the disease.The challenge lies in the accurate classification of tuberculosis from lung images, which is essential for timely diagnosis and treatment. Traditional diagnostic methods can be time-consuming and sometimes lack precision. To address this issue, this research aims to achieve high accuracy in classifying tuberculosis using the Convolutional Neural Network (CNN) algorithm through transfer learning methods. By utilizing visual images of tuberculosis-affected and normal lungs, we propose a solution that leverages advanced deep learning techniques to enhance diagnostic accuracy. This approach not only expedites the diagnostic process but also improves the reliability of tuberculosis detection, ultimately contributing to better patient outcomes and more effective disease management. The dataset applied consists of two labels: tuberculosis and normal. This dataset contains 4200 lung images of individuals with tuberculosis and normal lungs. By applying the transfer learning method, Transfer learning is a machine learning method where a pre-trained model is used as the starting point for a new, related task. it was found that the ResNet50 model achieved the highest accuracy at 99%, followed by InceptionV3 at 97%, and lastly, DenseNet121 at 91%.
Combination of Lexical Resources and Support Vector Machine for Film Sentiment Analysis
Authors: Agustina Putri , Putri Raissa Amanda
Published: July 2024

Text data generated by internet users holds potentially valuable information that can be researched for new insights. One strategy for obtaining information from a text data set is to classify text into predetermined categories based on existing data. Text classification is an aspect of Text Mining. One of the popular approaches in Text Mining uses the Support Vector Machine (SVM) classification algorithm, which aims to classify text and separate data into different classes. However, in some cases, SVM classification algorithms may face difficulties in understanding the context of the text properly due to unclear wording, varying sentence structures, or a lack of understanding of interpretation. To address this problem, applying SVM classification using lexical resources can be an effective solution. In this research framework, the first step is to obtain data, which in this case is a film review dataset taken from the kaggle.com site. After obtaining the data, the next step is preprocessing. The results of the preprocessing are then divided into 80:20 percentages. The 80% training data is used to search for the form of polarization, and this training data lexicon is used for training the SVM model. Based on the modeling results, the overall model accuracy is around 85%, calculated using the confusion matrix. The precision value, which shows the proportion of correct positive predictions, reached 88%. The precision for negative predictions reached 80%, and for neutral predictions, it reached 0%. These results show that the Lexicon+SVM model has good performance, with an accuracy of 85%.
Whoosh User Sentiment Analysis on Social Media Using Word2Vec and the Best Naïve Bayes Probability Model
Authors: Islamanda Muhammad Dinan , Sibaroni Yuliant
Published: July 2024

By using the Twitter microblogging feature, users can post short tweets with limited characters that express their thoughts and opinions regarding a matter. The newest transportation in Indonesia, a high-speed train namely Whoosh is one of the things that Twitter users responded to. This latest transportation has led to the emergence of opinions from the Indonesian people which are shared publicly in various media, one of which is social media. Therefore, to make it easier for business people or companies to understand public opinion regarding service improvements in the future, sentiment analysis on social media is needed to determine user opinions regarding high-speed train transportation. In this research, sentiment analysis of high-speed train users will be carried out on social media Twitter using Word2Vec and Naïve Bayes as classification methods. In this research, a comparison of Naïve Bayes models will also be carried out to find out the best Naïve Bayes method opportunity model. Simultaneously, the Word2vec feature extraction method was chosen because Word2Vec can be used to improve model performance and increase the accuracy of sentiment classification. This research found that the Word2Vec Skip-Gram model outperformed the Word2Vec CBOW model. The best model obtained was the use of the Gaussian Naïve Bayes and Word2Vec Skip-Gram models with an accuracy score of 77.18%, precision 70.35%, recall 76.09%, and f1-score 73.10%.
THE PERCEPTIONS OF STUDENTS REGARDING GENDER EQUALITY POLICIES IN UNIVERSITIES
Authors: Titili Denisa , Nikaj Irena
Published: July 2024

The study is about the perceptions of students of the University of Korca regarding the university's commitment to gender equality. Albanian universities have made significant efforts in gender mainstreaming. As part of a higher education institution, we must offer new generations a different path, free from prejudice and stereotypes, embracing people’s freedom and appreciating their individuality and originality. There is a significant commitment from the University of Korca (UNIKO) toward gender equality policies. The paper aims to point out the perceptions of students on gender equality policies followed by UNIKO and the commitment of the university to build an honest and communicative learning and work environment where people are treated equally and there is no discrimination, as well as a community which conveys trust, a sense of belonging and shared goals. A quantitative approach was used for this study. A questionnaire was conducted to measure the perception of students on gender equality policies in the university.  The students were recruited in the four faculties of UNIKO. The study focused on students' knowledge of gender mainstreaming; their participation in trainings and activities focused on gender issues; equal representation in the decision-making units and awareness of gender equality and unconscious gender biases. The study showed a high interest of students in the gender policies of the institution, but a more visible involvement of students in informative activities and greater awareness to address gender issues is suggested.
English-Medium Instruction in Japan: experience and its implementation in internationalization of agricultural higher education in Uzbekistan
Authors: Narmatova Gulchekhra
Published: July 2024

Abstract
EMI has been described as the most significant trend in educational internationalization’ (Chapple, 2015) and as an ‘unstoppable train’, from which EMI educators must ensure students alight safely at their destination (Macaro et al., 2018). Many studies have been conducted to explain and find out what is the best experience to implement in internationalization of Higher Education (HE). However, while literature covers a wide variety of theories, this study focused on two non-Anglophone countries` experiences. Japan is one of the non-Anglophone countries where the internationalization of universities is growing rapidly due to the successful implementation of EMI programs. However, most universities in Asia face numerous challenges in realizing globalization of higher education, especially those in the early stages of transitioning to English teaching programs. Tashkent State Agrarian University (TSAU) in Uzbekistan is one of them. TSAU, established in 1930, prepares agriculture specialists not only for Uzbekistan but also for neighboring countries. In Uzbekistan, not many studies are done related to the internationalization of agricultural tertiary education.
To reduce the challenges faced by students and content teachers on their EMI journeys, we must first understand the language-related challenges that many students and teachers experience in the process.  This study attempts to investigate the early challenges faced by Japanese universities in transitioning to EMI courses and what aspects of the Japanese EMI experience would be suitable to apply in higher education in Uzbekistan. Moreover, the study will focus on how consensus should be obtained in collaboration between English language and content teachers. The role of English language teachers in the successful implementation of the EMI program is immense and irreplaceable. The findings are based on a literature review of Japanese universities` strategies in the implementation of the EMI program. To address the study questions, a questionnaire was used to gather quantitative data by asking content lecturers the identical 30 questions on 5-point Likert scales with choices ranging from "strongly agree" to "strongly disagree". In the questionnaire, participated content lecturers from TSAU, Akita University and Tokyo University of Technology and Agriculture (TUAT), English language teachers from TSAU and some 1st-year and 2nd-year undergraduate students from all three universities who enrolled in the EMI program also showed interest in participation in research. Findings are expected to be introduced to the department of "Languages" and shared with content lecturers who are involved in the EMI program at TSAU and serve as a source for future research.
High residency of a Critically Endangered hammerhead shark to a small area: implications for marine protected area management and design
Authors: Herrera MA , Cardeñosa D , Papastamatiou YP , Vaudo J , Bermúdez-Rivas C , Shivji M
Published: July 2024

Hammerhead sharks are among the most iconic and threatened shark species. Research has focused on the large hammerhead species, with relatively little work conducted on their smaller-bodied relatives, which face many of the same threats. One such species, the scalloped bonnethead Sphyrna corona, is assessed as Critically Endangered by the IUCN Red List; however, there is no knowledge about its movements, which can compromise management and conservation efforts. Here, we used acoustic telemetry to describe the spatiotemporal movements of scalloped bonnetheads inside a national park’s marine protected area along the Colombian Pacific coast, where this species still occurs in high numbers. The movements of 25 adult sharks were monitored over a 1.4 km2 area for up to ~10 mo between 2022 and 2023. Scalloped bonnetheads exhibited high residency to the area (RImax = 0.78 ± 0.18, RImin = 0.59 ± 0.32, ±SD), with most sharks present during the majority of their monitoring period. Shark movements were influenced by tides and diel period, and the space sharks used was generally small (mean 50% utilization distribution: 0.3 ± 0.2 km2), with most of their movements detected by 2 (out of 5) receivers separated by less than 2 km. These results indicate that scalloped bonnetheads spend a large amount of time in a small area, suggesting that even a spatially limited no-take zone in the National Natural Park is likely to benefit the conservation of this species. This study provides the first insights into the movement behavior of the scalloped bonnethead, with important information for its protection and management.
KUALITAS PELAYANAN PUBLIK DALAM PEMBERIAN SANTUNAN KEPADA KORBAN KECELAKAAN LALU LINTAS DI PT JASA RAHARJA CABANG SULAWESI UTARA
Authors: Pandeirot V W , Johannes Ryan Aji
Published: July 2024

Penelitian ini bertujuan untuk mengetahui kualitas pelayanan public dalam pemberian santunan kepada korban kecelakaan lalu lintas di PT Jasa Raharja Cabang Sulawesi Utara. Penelitian ini dilaksanakan di PT Jasa Raharja Cabang Sulawesi Utara. Jenis penelitian yang digunakan yaitu penelitian kualitatif, dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Data yang diperoleh dianalisis secara deskriptif kualitatif, Jumlah informan yaitu 4 orang. Berdasarkan hasil penelitian menunjukkan bahwa kualitas pelayanan publik dari aspek sarana dan prasarana, kehandalan, daya tanggap, kemudahan belum berjalan dengan baik dan maksimal. Hal ini dapat dilihat dari Sarana dan Prasarana hal ini didasarkan pada kurangnya fasilitas informasi yang terpapar atau terlihat di kantor terlalu kecil untuk dilihat. Kehandalan hal ini didasarkan pada kurangnya kehandalan pegawai dalam memberikan pelayanan dan kurangnya pemahaman masyarkat tentang pemberian santunan. Akan tetapi pada aspek Daya Tanggap dan Kemudahan sudah dijalankan dengan baik. Upaya-upaya yang diberikan dalam kualitas pelayanan publik yaitu dalam hal fasilitas informasi lebih di perhatikan dan bisa berkembang menjadi lebih baik, kemudian dalam hal pemberian santunan lebih ditingkatkan lagi, lebih meningkatkan lagi sosialisasi kepada masyarakat terkait fungsi dan peran PT Jasa Raharja.
STRATEGI PENGEMBANGAN PARIWISATA DALAM MENINGKATKAN PENDAPATAN ASLI DAERAH PROVINSI NUSA TENGGARA TIMUR
Authors: Hake David Stevanus Gustiano
Published: July 2024

Indonesia merupakan salah satu negara dengan kekayaan alam yang berlimpah, dengan keindahan alam yang serta keanekaragaman yang majemuk, yang diharapkan mampu meningkatkan Pendapatan Asli Daerah (PAD) suatu provinsi. Kabupaten Manggarai Barat merupakan salah satu kabupaten di Provinsi Nusa Tenggara Timur yang memiliki potensi yang menjanjikan untuk memberikan kontribusi terhadap Pendapatan Asli Daerab (PAD) Provinsi Nusa Tenggara Timur. Penelitian ini bertujuan untuk mengetahui strategi yang optimal untuk pengembangan Kawasan objek wisata di Kabupaten Manggarai Barat, sehingga sektor pariwisata di kabupaten manggarai barat dapat dikelola serta dimanfaatkan dengan secara optimal. Setelah dianalisis oleh penulis sektor pariwisata di kabupaten manggarai masih memiliki beberapa kendala di lapangan yakni terkait dengan beberapa aset wisata di kabupaten manggarai barat yang masih dilakukan pungutan liar serta belum adanya keterlibatan masyarakat lokal dalam pemeliharaan dan eksplorasi destinasi wisata di Kabupaten Manggarai Barat, serta kurangnya kerjasama antar daerah terkait dalam pengembangan dan pengawasan atraksi wisata. Untuk menggambarkan keadaan di lapangan kemudian mengkaji dan menyelidikinya guna mencari solusi permasalahan umum, maka penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif menggunakan teknik Analisa SWOT. Data yang digunakan dalam penelitian mengenai teknik pengembangan wisata untuk meningkatkan pendapatan asli daerah (PAD) ini diambil dari majalah Pustaka edisi sebelumnya serta konsekuensi dalam memilih tindakan yang akan diambil Dinas Pariwisata Kabupaten Manggarai Barat Provinsi Nusa Tenggara Timur.
PENGGUNAAN WEBSITE KEMENDAGRI.GO.ID SEBAGAI BENTUK PENINGKATAN KUALITAS LAYANAN PUBLIK
Authors: Setiawan Muh. Rivandy
Published: July 2024

Electronic government menjadi orientasi untuk pemerintahan di suatu Negara yang mau mewujudkan pembangunan yang berkepanjangan bagi sistem dalam pemerintahan. E- government merupakan keluaran atau hasil yang diharapkan dari tujuan pembangunan sarana fasilitas serta prasana dan pemberian layanan yang maksimal pada masyarakat. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana penggunaan website kemendagri sebagai bentuk kualitas layanan publik kepada masyarakat. Penelitian ini menggunakan pendekatan kualitatif deskriptif. Penelitian dengan pendekatan kualitatif deskriptif merupakan metode penelitian yang memakai data yang diukur secara kualitatif dan hasil penelitiannya dijabarkan dengan deskripsi kata-kata dalam sebuah narasi. Hasil penelitian ini menghasilkan kesimpulan bahwa kemendagri berusaha utnuk meningkatkan kualitas layanan publik lewak penggunaan website yang beralamatkan di https://www.kemendagri.go.id/. Upaya-upaya yang dilakukan Kemendagri untuk mengoptimalkan kualitas layanan public yang mereka berikan lewat website adalah dengan mempermudah masyarakat untuk mengakses website kemendagri; memberikan banyak menu dan fitur yang sangat berguna bagi masyarakat awam dalam memperoleh data atau informasi di lingkungan kementrian dalam negeri; dan data yang terus diperbaharui sehingga masyarakat mendapatkan data dan informasi terbaru langsung dari Kementrian Dalam Negeri.
Identification of a lumped-parameter model of the intervertebral joint from experimental data
Authors: Gould Samuele L. , Davico Giorgio , Palanca Marco , Viceconti Marco , Cristofolini Luca
Published: July 2024

Through predictive simulations, multibody models can aid the treatment of spinal pathologies by identifying optimal surgical procedures. Critical to achieving accurate predictions is the definition of the intervertebral joint. The joint pose is often defined by virtual palpation. Intervertebral joint stiffnesses are either derived from literature, or specimen-specific stiffnesses are calculated with optimisation methods. This study tested the feasibility of an optimisation method for determining the specimen-specific stiffnesses and investigated the influence of the assigned joint pose on the subject-specific estimated stiffness. Furthermore, the influence of the joint pose and the stiffness on the accuracy of the predicted motion was investigated. A computed tomography based model of a lumbar spine segment was created. Joints were defined from virtually palpated landmarks sampled with a Latin Hypercube technique from a possible Cartesian space. An optimisation method was used to determine specimen-specific stiffnesses for 500 models. A two-factor analysis was performed by running forward dynamic simulations for ten different stiffnesses for each successfully optimised model. The optimisations calculated a large range of stiffnesses, indicating the optimised specimen-specific stiffnesses were highly sensitive to the assigned joint pose and related uncertainties. A limited number of combinations of optimised joint stiffnesses and joint poses could accurately predict the kinematics. The two-factor analysis indicated that, for the ranges explored, the joint pose definition was more important than the stiffness. To obtain kinematic prediction errors below 1 mm and 1° and suitable specimen-specific stiffnesses the precision of virtually palpated landmarks for joint definition should be better than 2.9 mm.
A pH-sensitive, renewable invisible orthodontic aligners coating manipulates antibacterial and in situ remineralization functions to combat enamel demineralization
Authors: Qin Qi , Yuan Wenhong , Zhang Jiarui , Gao Yang , Yu Yanling
Published: July 2024

During invisalign treatment, as salivary proteins or glycoproteins fill the space between the teeth and the aligners, they can easily adhere to the teeth, forming an acquired cellular film on which bacteria are highly susceptible to colonizing, which in turn leads to the development of enamel white staining lesions (WSLs), one of the major complications of orthodontic treatment. Inhibiting the activity of cariogenic bacteria while promoting the remineralization of demineralized enamel is the key to preventing and treating WSLs. Currently, the drug commonly used in clinical practice for the treatment of WSLs is silver diamine fluoride, which, although it has both antimicrobial and remineralizing effects, suffers from problems such as pulpal irritation and tooth discoloration. In this study, based on the principle of coordination chemistry, copper ions and plant polyphenol tannins were assembled on invisible orthodontic aligners to form a metal–phenol network coating (TA-Cu MPNs), and zwitterionic sulfonamethyldopamine was introduced for bionic mineralization to obtain the multifunctional coating TA-Cu MPNs@ZDS@CaP (TZC). The coating exhibits acid-responsive release of Ca2+ and PO43−, and the decomposed CaP layer can be regenerated by a simple dipping method. The TZC coating strongly inhibits common cariogenic bacteria and their biofilms. In addition, the results of the in vitro mineralization experiment show that TZC-coated invisible orthodontic aligner treatment of demineralized enamel has significant remineralization effects. It is worth mentioning that the constructed coating has a durable antibacterial effect and can meet the service cycle of invisible orthodontic aligners. This study provides theoretical and experimental bases for the prevention or treatment of WSLs in invisible orthodontic treatment.
Effectiveness and mechanisms of mesenchymal stem cell therapy in preclinical animal models of hepatic fibrosis: a systematic review and meta-analysis
Authors: Wang Xuesong , Wang Yue , Lu Wenming , Qu Jiayang , Zhang Yang , Ye Junsong
Published: July 2024

Background

Liver damage due to long-term viral infection, alcohol consumption, autoimmune decline, and other factors could lead to the gradual development of liver fibrosis. Unfortunately, until now, there has been no effective treatment for liver fibrosis. Mesenchymal stem cells, as a promising new therapy for liver fibrosis, can slow the progression of fibrosis by migrating to the site of liver injury and by altering the microenvironment of the fibrotic area.

Aim

By including all relevant studies to date to comprehensively assess the efficacy of mesenchymal stem cells for the treatment of hepatic fibrosis and to explore considerations for clinical translation and therapeutic mechanisms.

Methods

Data sources included PubMed, Web of Science, Embase, and Cochrane Library, and were constructed until October 2023. Data for each study outcome indicator were extracted for comprehensive analysis.

Results

The overall meta-analysis showed that mesenchymal stem cells significantly improved liver function. Moreover, it inhibited the expression level of transforming growth factor-β [SMD = 4.21, 95% CI (3.02,5.40)], which in turn silenced hepatic stellate cells and significantly reduced the area of liver fibrosis [SMD = 3.61, 95% CI (1.41,5.81)].

Conclusion

Several outcome indicators suggest that mesenchymal stem cells therapy is relatively reliable in the treatment of liver fibrosis. The therapeutic effect is cell dose-dependent over a range of doses, but not more effective at higher doses. Bone-marrow derived mesenchymal stem cells were more effective in treating liver fibrosis than mesenchymal stem cells from other sources.

Systematic Review Registration

Identifier CRD42022354768.
Biofilm mitigation in hybrid chemical-biological upcycling of waste polymers
Authors: Stoddard Hunter , Kulas Daniel , Zolghadr Ali , Aloba Sulihat , Schaerer Laura G. , Putman Lindsay , Valencia Isabel , Lacey Jeffrey A. , Shonnard David R. , Techtmann Stephen M. , Ong Rebecca G.
Published: July 2024

Introduction: Accumulation of plastic waste in the environment is a serious global issue. To deal with this, there is a need for improved and more efficient methods for plastic waste recycling. One approach is to depolymerize plastic using pyrolysis or chemical deconstruction followed by microbial-upcycling of the monomers into more valuable products. Microbial consortia may be able to increase stability in response to process perturbations and adapt to diverse carbon sources, but may be more likely to form biofilms that foul process equipment, increasing the challenge of harvesting the cell biomass.

Methods: To better understand the relationship between bioprocess conditions, biofilm formation, and ecology within the bioreactor, in this study a previously-enriched microbial consortium (LS1_Calumet) was grown on (1) ammonium hydroxide-depolymerized polyethylene terephthalate (PET) monomers and (2) the pyrolysis products of polyethylene (PE) and polypropylene (PP). Bioreactor temperature, pH, agitation speed, and aeration were varied to determine the conditions that led to the highest production of planktonic biomass and minimal formation of biofilm. The community makeup and diversity in the planktonic and biofilm states were evaluated using 16S rRNA gene amplicon sequencing.

Results: Results showed that there was very little microbial growth on the liquid product from pyrolysis under all fermentation conditions. When grown on the chemically-deconstructed PET the highest cell density (0.69 g/L) with minimal biofilm formation was produced at 30°C, pH 7, 100 rpm agitation, and 10 sL/hr airflow. Results from 16S rRNAsequencing showed that the planktonic phase had higher observed diversity than the biofilm, and that Rhodococcus, Paracoccus, and Chelatococcus were the most abundant genera for all process conditions. Biofilm formation by Rhodococcus sp. And Paracoccus sp. Isolates was typically lower than the full microbial community and varied based on the carbon source.

Discussion: Ultimately, the results indicate that biofilm formation within the bioreactor can be significantly reduced by optimizing process conditions and using pure cultures or a less diverse community, while maintaining high biomass productivity. The results of this study provide insight into methods for upcycling plastic waste and how process conditions can be used to control the formation of biofilm in bioreactors.
Multi-modal triggered-release sonodynamic/chemo/phototherapy synergistic nanocarriers for the treatment of colon cancer
Authors: Zhou Yun , Gao Yueyang , Yao Nannan , Lu Guozhi , Dong Chuyu , Wang Kexin , Zhang Junfeng , Sun Jing , Li Ke , Li Xueping
Published: July 2024

Most colon cancer patients are diagnosed at an advanced stage, with a grim prognosis. In clinical, various combination therapies have been employed to enhance the efficacy of colon cancer treatment. The essence of combined treatment is the judicious selection and combination of various treatment units. Phototherapy (PT), sonodynamic therapy (SDT), and chemotherapy are treatment modalities that rely on the active molecules to treat tumors, and have been demonstrated to synergistically enhance tumor treatment efficacy. However, the differences in the metabolism of active molecules and hypoxic microenvironment of tumors have limited the synergistic effects of the aforementioned methods. To address this significant issue, in this study, we utilized polydopamine (PDA) as the encapsulated material to form a rigid shell that contains the therapeutic molecules IR-780 and methotrexate (MTX) on the surface of perfluorohexane (PFH) microdroplets through self-assembling method to develop an SDT/chemotherapy/PT combined nanoparticles (SCP NPs). Transmission electron microscopy (TEM) revealed that the nanoparticles exhibited a hollow shell structure, with an average size of approximately 100 nm. SCP NPs have excellent stability and biocompatibility in both in vitro and in vivo. The absorption and emission spectrum of the loaded IR-780 did not exhibit any significant shift, and the photothermal temperature rose to 92°C. Their ultrasonic cavitation effect was good and their cell inhibitory effect of MTX was maintained. SCP NPs can achieve multi-modal triggered release through ultrasound, laser irradiation, and pH, ensuring a simultaneous accumulation of therapeutic molecules in the tumor area and effectively alleviating tumor hypoxia. Additionally, both the near-infrared fluorescence (NIF) signal and the ultrasonic cavitation signal of the nanoparticles can be utilized for tracking and monitoring treatment efficacy. Most notably, SCP NPs exhibited outstanding synergistic treatment effects at low intervention levels, resulting in a 67% cure rate of tumors. These results provide an experimental basis for developing the new clinical treatments for colon cancer.
NEUROD1: transcriptional and epigenetic regulator of human and mouse neuronal and endocrine cell lineage programs
Authors: Pavlinkova Gabriela , Smolik Ondrej
Published: July 2024

Transcription factors belonging to the basic helix-loop-helix (bHLH) family are key regulators of cell fate specification and differentiation during development. Their dysregulation is implicated not only in developmental abnormalities but also in various adult diseases and cancers. Recently, the abilities of bHLH factors have been exploited in reprogramming strategies for cell replacement therapy. One such factor is NEUROD1, which has been associated with the reprogramming of the epigenetic landscape and potentially possessing pioneer factor abilities, initiating neuronal developmental programs, and enforcing pancreatic endocrine differentiation. The review aims to consolidate current knowledge on NEUROD1’s multifaceted roles and mechanistic pathways in human and mouse cell differentiation and reprogramming, exploring NEUROD1 roles in guiding the development and reprogramming of neuroendocrine cell lineages. The review focuses on NEUROD1’s molecular mechanisms, its interactions with other transcription factors, its role as a pioneer factor in chromatin remodeling, and its potential in cell reprogramming. We also show a differential potential of NEUROD1 in differentiation of neurons and pancreatic endocrine cells, highlighting its therapeutic potential and the necessity for further research to fully understand and utilize its capabilities.
Generation and preclinical evaluation of a human heavy-chain-only antibody recognizing the membrane-bound tumor-associated antigen mesothelin
Authors: Janssens Rick , van Haperen Rien , van der Reijden Michael , Maas Alex , Wang Jingsong , Grosveld Frank , Drabek Dubravka
Published: July 2024

Objective

Mesothelin (MSLN) is an attractive target for anticancer therapeutics and bioimaging reagents that utilize antibodies. This study was aimed at developing a novel human anti-MSLN single-domain antibody that exclusively binds to the membrane-attached MSLN using transgenic mice generating human heavy-chain-only antibodies (HCAbs) and exploring the resulting HCAbs as imaging tools.

Methods

We introduced a doxycycline-inducible human MSLN gene in genetically modified mice expressing human HCAbs. This new method of non-invasive immunization by antigen induction results in MSLN antigen production in its native conformation on the cell surface. Screening of 2,000 HCAbs from the resulting immune library yielded numerous binders, from which we chose 19G6 as the lead antibody. This antibody was 111Indium radiolabeled and tested in a xenotransplantation tumor model with OVCAR-3 cells.

Results

The 19G6 antibody shows nanomolar affinity toward membrane-bound MSLN and does not recognize soluble MSLN. The human MSLN-positive tumors were visualized in an in vivo mouse model. The non-labeled antibody prevented binding when provided in excess, showing tumor specificity.

Conclusion

19G6 with a human Fc is a promising tumor-cell tracer in vivo. This HCAb can also be engineered into a smaller and shorter-lived tracer (only the VH domain) or combined with other target-binding domains to form multispecific modalities for tumor immunotherapy.
Genetic background of cognitive decline in Parkinson's disease
Authors: Blazekovic Antonela , Gotovac Jercic Kristina , Devedija Sabina , Borovecki Fran
Published: July 2024

Parkinson's disease (PD) is a complex disorder that is influenced by multiple genetic risk factors. There is a significant heterogeneity in PD presentation, both pathologically and clinically. Some of the most common and important symptoms affecting the patient are cognitive impairment and dementia. However, the genetic and biological basis underlying the differences in cognitive profiles, including the development of dementia in PD, is not yet well understood. Understanding the role of genes in cognitive outcomes is crucial for effective patient counseling and treatment. Research on familial PD has discovered more than 20 genes that can cause the disease. The identified genes responsible for familial cases of PD are LRRK2, PARK7, PINK1, PRKN, or SNCA gene, although there may be other genes that also contribute. Additionally, some of these genes may also play a role in cases that were previously thought to be sporadic. Currently, numerous well-described genes increase the risk of cognitive decline in PD, each with varying levels of penetrance. The aim of this review is to identify the relevant genetic factors that contribute to differences in cognition. We discuss the genes that may affect cognition and the challenges in establishing a clear genetic diagnostic and prognostic assessment. This article aims to demonstrate the complexity of the genetic background of cognition in PD and to present the different types of genotype changes that can impact cognition through various neurobiological mechanisms.
Miracle of nature—dialog with nature through artistic creation
Authors: Raappana-Luiro Leena
Published: July 2024

The aim of this study is to analyze the effect of an illustrator’s visual style in representing nature. The focus is on the author’s own artistic project in which the personal relationship with nature is reflected. As for theory, the style used in the representation is seen as a combination of semiotic resources. In this case, the style is inspired by historical images: old still life paintings and illustrations from natural encyclopedias and field guides. The stylistic influences work as a connotative semiotic resource. From a wider perspective, how we represent nature creates social discourses of nature and our attitudes toward it. The results indicate that fact-based communication of nature would also benefit from the emotional effect of esthetic imagery.