bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implicação da subida das águas no saneamento básico em comunidades fluviais no Vale do Jari - AP
Authors: Lopes Fabrina , Viana da Silva Ìngrid Glória , Pereira Camarão João Victor , Caramello Nubia , Dos Prazeres Hamilton 
Published: August 2024

Resumo: Este artigo abordará questões relacionadas ao saneamento básico em comunidades fluviais localizadas no sul do Amapá, visto que as comunidades de Laranjal do Jari enfrentam uma notável vulnerabilidade a condições insalubres durante as cheias dos rios. O objetivo principal é fornecer subsídios para a formulação de políticas públicas que promovam a inclusão e a melhoria das condições de saneamento básico. Serão considerados aspectos como acesso à água potável, coleta e gestão de resíduos sólidos e educação em saúde. A pesquisa obteve 32 questionários aplicados aos moradores das comunidades de Santo Antônio da Cachoeira e Quilombo de São José, em Laranjal do Jari, onde 62,5% dos moradores da comunidade responderam que as enchentes são um problema para a permanência na comunidade. Uma das maiores dificuldades no período de subida do nível do rio Jari é manter a qualidade da água para necessidades básicas. A falta de gerenciamento de resíduos sólidos nas comunidades de Santo Antônio e Quilombo de São José acabam gerando de forma incorreta o descarte de “lixo”.
Palavras-chave: Saneamento básico; Enchentes; Comunidades Fluviais; Amazônia
THỰC TRẠNG KHỚP CẮN Ở BỆNH NHÂN TẠO XƯƠNG BẤT TOÀN
Authors: Nguyễn Thị Thu Hương , Tống Minh Sơn , Vũ Chí Dũng 
Published: August 2024

Mục tiêu: Mô tả thực trạng khớp cắn ở bệnh nhân tạo xương bất toàn. Phương pháp: Mô tả cắt ngang. Đối tượng nghiên cứu là 36 trẻ và người lớn mắc tạo xương bất toàn, độ tuổi từ 12 tuổi, có bộ răng vĩnh viễn. Bệnh nhân được khám lâm sàng để xác định các sai khớp cắn. Kết quả: Sai khớp cắn loại III xuất hiện ở hầu hết bệnh nhân chiếm 72,2%, trong đó: 50% ở bệnh nhân OI týp I; 84,6% ở bệnh nhân OI týp III và 70,6% ở bệnh nhân OI týp IV. Cắn chéo phía trước chiếm tỷ lệ 72,2%, trong đó OI týp III và IV có tỷ lệ cắn chéo lần lượt là 84,6% và 70,6%. Cắn chéo phía sau chiếm 55,6%. Cắn hở phía trước chiếm 25% và cắn hở phía sau chiếm 30,6%. Kết luận: Bệnh nhân OI có sai khớp cắn loại III, cắn hở, cắn chéo chiếm tỷ lệ cao.
Perancangan Sistem Pembayaran SPP MI Syamsul Huda Kalipuro Berbasis Web
Authors: Wahid La Ode Abdul , Moh. Imran  , Al Mujaddidi Ali Ilham 
Published: August 2024

Tujuan dari penelitian ini adalah merancang dan mengembangkan sistem pembayaran SPP berbasis web di MI Syamsul Huda Kalipuro. Sistem ini diharapkan dapat mengoptimalkan proses administrasi melalui peningkatan manajemen keuangan, pengurangan beban kerja manual, peningkatan komunikasi dengan siswa dan orang tua terkait pembayaran SPP, dan kemudahan akses informasi bagi orang tua. Sistem ini memudahkan proses pembayaran uang sekolah, meningkatkan manajemen data keuangan, dan meningkatkan efisiensi bagi siswa dan staf. Sistem ini akan dikembangkan dengan menggunakan teknologi web modern dan terintegrasi dengan sistem informasi akademik sekolah yang sudah ada. Diharapkan sistem ini dapat memberikan hasil signifikan dalam membatu aktifitas pembayaran biaya Pendidikan sekolah terlebih pada bidang tata usaha untuk mengetahui pembayaran SPP serta menyajikan laporan pembayaran SPP dengan cepat mudah dan akurat pada MI Syamsul Huda Kalipuro.
Multisource Synthesized Inventory of CRitical Infrastructure and HUman-Impacted Areas in AlaSka (SIRIUS)
Authors: Kaiser Soraya , Boike Julia , Grosse Guido , Langer Moritz 
Published: August 2024

Abstract. The Arctic region has undergone warming at a rate more than 3 times higher than the global average. This warming has led to the degradation of near-surface permafrost, resulting in decreased ground stability. This instability not only poses a primary hazard to Arctic infrastructure and human-impacted areas but can also lead to secondary ecological hazards from infrastructure failure associated with hazardous materials. This development underscores the need for a comprehensive inventory of critical infrastructure and human-impacted areas. The inventory should be linked to environmental data to assess their susceptibility to permafrost degradation as well as the ecological consequences that may arise from infrastructure failure. Here, we provide such an inventory for Alaska, a vast state covering approximately 1.7 × 106 km2, with a population of over 733 000 people and a history of industrial development on permafrost. Our Synthesized Inventory of CRitical Infrastructure and HUman-Impacted Areas in AlaSka (SIRIUS) integrates data from (i) the Sentinel-1/2-derived Arctic Coastal Human Impact dataset (SACHI); (ii) OpenStreetMap (OSM); (iii) the pan-Arctic Catchment Database (ARCADE); (iv) a dataset of permafrost extent, probability and mean annual ground temperatures; and (v) the Contaminated Sites Database and reports to create a unified new dataset of critical infrastructure and human-impacted areas as well as permafrost and watershed information for Alaska. The integration process included harmonizing spatial references, extents and geometries across all the datasets as well as incorporating a uniform usage type classification scheme for the infrastructure data. Additionally, we employed text-mining techniques to generate complementary geospatial data from textual reports on contaminated sites, including details on contaminants, cleanup duration and the affected media. The combination of SACHI and OSM enhanced the detail of the usage type classification for infrastructure from 5 to 13 categories, allowing the identification of elements critical to Arctic communities beyond industrial sites. Further, the new inventory integrates the high spatial detail of OSM with the unbiased infrastructure detection capability of SACHI, accurately representing 94 % of the polygonal infrastructure and 78 % of the linear infrastructure, respectively. The SIRIUS dataset is presented as a GeoPackage, enabling spatial analysis and queries of its components, either as a function of or in combination with one another. The dataset is available on Zenodo at https://doi.org/10.5281/zenodo.8311243 (Kaiser et al., 2023).
Estimating velocity distribution and flood discharge at river bridges using entropy theory – insights from computational fluid dynamics flow fields
Authors: Bahmanpouri Farhad , Lazzarin Tommaso , Barbetta Silvia , Moramarco Tommaso , Viero Daniele P. 
Published: August 2024

Abstract. Estimating the flow velocity and discharge in rivers is of particular interest for monitoring, modeling, and research purposes. Instruments for measuring water level and surface velocity are generally mounted on bridge decks, and this poses a challenge because the bridge structure, with piers and abutments, can perturb the flow field. The current research aims to investigate the applicability of entropy theory to estimate the velocity distribution and the discharge in the vicinity of river bridges. For this purpose, a computational fluid dynamics (CFD) model is used to obtain three-dimensional flow fields along a stretch of the Paglia River (central Italy), where a historical multi-arch bridge strongly affects flood flows. The input data for the entropy model include the cross-sectional bathymetry and the surface velocity provided by the numerical simulations. A total of 12 samples, including three different flow conditions at four cross-sections, one upstream and three downstream of the bridge, are considered. It is found that the entropy model can be reliably applied upstream of the bridge, also when forced with a single (i.e., the maximum) value of the surface velocity, with errors on total discharge below 13 % in the considered case. By contrast, downstream of the bridge, the wakes generated by the bridge piers strongly affect the velocity distribution, both in the spanwise and in the vertical directions and for very long distances. Here, notwithstanding the complex and multimodal spanwise distribution of flow velocity, the entropy model estimates the discharge with error lower than 8 % if forced with the river-wide distribution of the surface velocity. The present study has important implications for the optimal positioning of sensors and suggests the potential of using CFD modeling and entropy theory jointly to foster greater knowledge of river systems.
Post-depositional modification on seasonal-to-interannual timescales alters the deuterium-excess signals in summer snow layers in Greenland
Authors: Town Michael S. , Steen-Larsen Hans Christian , Wahl Sonja , Faber Anne-Katrine , Behrens Melanie , Jones Tyler R. , Sveinbjornsdottir Arny 
Published: August 2024

Abstract. We document the isotopic evolution of near-surface snow at the East Greenland Ice Core Project (EastGRIP) ice core site in northeast Greenland using a time-resolved array of 1 m deep isotope (δ18O, δD) profiles. The snow profiles were taken from May–August during the 2017–2019 summer seasons. An age–depth model was developed and applied to each profile, mitigating the impacts of stratigraphic noise on isotope signals. Significant changes in deuterium excess (d) are observed in surface snow and near-surface snow as the snow ages. Decreases in d of up to 5 ‰ occur during summer seasons after deposition during two of the three summer seasons observed. The d always experiences a 3 ‰–5 ‰ increase after aging 1 year in the snow due to a broadening of the autumn d maximum. Models of idealized scenarios coupled with prior work indicate that the summertime post-depositional changes in d (Δd) can be explained by a combination of surface sublimation, forced ventilation of the near-surface snow down to 20–30 cm, and isotope-gradient-driven diffusion throughout the column. The interannual Δd is also partly explained with isotope-gradient-driven diffusion, but other mechanisms are at work that leave a bias in the d record. Thus, d does not just carry information about source-region conditions and transport history as is commonly assumed, but also integrates local conditions into summer snow layers as the snow ages through metamorphic processes. Finally, we observe a dramatic increase in the seasonal isotope-to-temperature sensitivity, which can be explained solely by isotope-gradient-driven diffusion. Our results are dependent on the site characteristics (e.g., wind, temperature, accumulation rate, snow properties) but indicate that more process-based research is necessary to understand water isotopes as climate proxies. Recommendations for monitoring and physical modeling are given, with special attention to the d parameter.
Meningkatkan Kualitas Pelayanan Front Office Department Melalui Tugas dan Tanggung Jawab Concierge Pada Hotel Savoy Homann
Authors: Dwi Insani Yuda , Setiyariski Ramdani 
Published: August 2024

ABSTRAK
Kantor depan memiliki beberapa bagian salah satunya adalah concierge, pelayanan concierge yang profesional dapat memberikan kepuasan tamu dan menjadi pelanggan yang loyal. Kedudukan concierge merupakan bagian penting di hotel, karena yang pertama kali menyambut tamu datang serta memiliki peranan penting dalam meningkatkan kualitas pelayanan. Hal tersebut mengharuskan concierge mampu memastikan segala kebutuhan dan permintaan tamu terpenuhi serta memastikan setiap tamu memiliki pengalaman yang baik selama menginap di hotel. Concierge harus memiliki pengetahuan yang luas dan paham mengenai hotel maupun area di luar hotel. Metode penelitian yang di gunakan adalah metode kualitatif deskriptif dengan menggunakan cara observasi dan melakukan penjabaran yang dapat menggambarkan petugas concierge terkait dengan pelaksanaan kerja sesuai dengan Standar Operasional Prosedur yang ada. Hasil penelitian yang diperoleh yaitu tugas dan tanggung jawab concierge dalam meningkatkan kualitas pelayanan kantor depan Hotel Savoy Homann, dimulai dari pelayanan tamu check in sampai proses check out dan pelayanan terbaik untuk segala kebutuhan tamu lainnya yang dapat memuaskan dan meringankan beban tamu Hotel Savoy Homann.

Kata Kunci: Concierge, Kualitas Pelayanan, Tugas dan Tanggungjawab.

ABSTRACT
The front office has several sections, one of which is a concierge, a professional concierge service that can provide guest satisfaction and become a loyal customer. The concierge position is an important part of the hotel, because it is the first to welcome guests and has an important role in improving service quality. This requires that the concierge is able to ensure all needs and requests of guests are met and ensure that every guest has a good experience while staying at the hotel. Concierge must have extensive knowledge and understanding about the hotel and the area outside the hotel. The research method used is descriptive qualitative method using observation and elaboration which can describe concierge officers related to the implementation in accordance with existing Standard Operating Procedures. The research results obtained are the duties and responsibilities of the concierge in improving the quality of service at The Savoy Homann Hotel’s front office, starting from the guest check-in service to the check-out process and the best service for all other guest needs that can satisfy and ease the guest burden of Savoy Homann Hotel.
Keyword: Concierge, Service Quality, Duties and Responsibilities.
Pengaruh Kualitas Pelayanan dan Grooming Pemandu Wisata di Objek Istano Basa Pagaruyuang
Authors: Mandalia Siska , Zonata Yuke , Wulandari Wiranda 
Published: August 2024

ABSTRACT
The main problem in this study is whether the service quality and grooming of tour guides influence tourist satisfaction at the Istano Basa Pagaruyuang Tourism Object. This study aimed to determine the effect of service quality and grooming of tour guides at the Istano Basa Pagaruyuang tourist attraction.
The method used in this research is a quantitative research method. The data collection technique was carried out by filling out a questionnaire. The number of respondents is 100 people. The data analysis technique used is a validation test, reliability test, normality test, multiple linear regression analysis, partial t-test, simultaneous f test, and test of the coefficient of determination.
The study results show that the service quality variable partially influences tourist satisfaction. However, the tour guide Grooming variable does not control tourist satisfaction variables. From the results of the f test, it is obtained that the variables of service quality and grooming simultaneously affect tourist satisfaction.
The Influence of Information Technology Adoption on the Financial Performance of Medan City MSMEs
Authors: Nasution Ummi Kalsum , Irama Ova Novi 
Published: August 2024

This research was carried out based on phenomena that exist in the city of Medan. shows that there is an increase in the quality of community businesses by using information technology. The number of MSMEs in the city of Medan is a very large number, but not all MSME actors understand how to use technology to support their businesses. Information technology has an influence on increasing sales and income of MSMEs, such as increasing market access, operational efficiency and personalization of services. This research looks at how influential information technology is on the financial performance of MSMEs in the city of Medan. This research obtained data from 3 sub-districts which were used as research samples. if the significance value is <0.05, it means that variable X has an influence on variable Y and if the significance value is >0.05, it means that variable As a result of squaring R from the output, the coefficient of determination (R2) is 0.897, so from this table it can be seen that Information Technology has a good influence on the financial performance of Medan City MSMEs. Keywords: Technology Adoption, MSMEs.
RELASI SOSIAL EKONOMI ANTARA PEDAGANG DAN PETANI CENGKEH (Studi Di Desa Walasiho Kecamatan Wawo Kabupaten Kolaka Utara)
Authors: Nurhidayat Nurhidayat , Bahtiar Bahtiar , Peribadi Peribadi 
Published: August 2024

Tujuan Penelitian ini adalah (1) Untuk mengetahui jaringan sosial ekonomi antara petani cengkeh dan pedagang (2) Untuk mengetahui pola relasi sosial ekonomi antara petani cengkeh dan pedagang. Metode yang digunakan dalam penelitian ini yaitu menggunakan metode deskriptif kualitatif dengan menggunakan teknik pengumpulan data berupa observasi, wawancara, dan dokumentasi. Berdasarkan hasil penelitian ini menunjukkan bahwa relasi atau hubungan sosial ekonomi petani dan pedagang cengkeh sangatlah penting dalam terbentuknya jaringan sosial, dengan adanya pemasaran atau penjualan hasil panen petani yang dapat menunjang penghasilan para petani yang lebih baik serta untuk memenuhi kebutuhan sehari-hari masyarakat petani, dan juga untuk membiayai keperluan pendidikan anak-anak mereka. Dalam hubungan sosial ekonomi antara petani dan pedagang itu mempunyai sifat adanya saling ketergantungan, saling membutuhkan, saling menguntungkan satu sama lain sehingga itu sangat penting dalam terjadinya interaksi yang baik antara petani dan pedagang cengkeh.
PERAN ISTRI NELAYAN DALAM PEMENUHAN KEBUTUHAN SOSIAL EKONOMI KELUARGA (Studi di Kelurahan Lemo Kecamatan Kulisusu Kabupaten Buton Utara)
Authors: Kasrin Kasrin , Roslan Suharty , Anggraini Dewi 
Published: August 2024

Penelitian ini bertujuan untuk mengetahui peran istri nelayan dalam pemenuhan kebutuhan sosial ekonomi keluarga di Kelurahan Lemo Kecamatan Kulisusu Kabupaten Buton Utara. Dalam penelitian ini jumlah informan sebanyak 15 orang, dengan menggunakan jenis Penelitian Deskriptif Kualitatif dengan cara mengumpulkan Data dengan Studi Pustaka ( library Study), Penelitian Lapangan ( field research) berupa Observasi, Wawancara dan Dokumentasi. Data yang di kumpulkan dalam penelitian ini akan di analisis secara deskriptif kualitatif, yaitu dengan mengkaji data yang di mulai dengan memilih seluruh data yang tersedia dari berbagai sumber data yang terkumpul mempelajari data memilih dalam satu satuan yang kemudian di kategorikan pada tahap berikutnya dan memeriksa keabsahan data serta mendefinisikannya dengan analisis sesuai dengan kemampuan daya peneliti untuk membuat kesimpulan. Hasil penelitian menunjukkan bahwa peran istri nelayan dalam pemenuhan kebutuhan sosial ekonomi keluarga; (1) Peran produktif sebagai pedagang sembako yaitu karena pekerjaan ini tidak membutuhkan tingkat pendidikan yang tinggi, tidak menyita waktu dan bisa dilakukan sendiri; (2) Peran produktif sebagai bertani adalah seseorang yang bergerak di bidang bisnis pertanian utamanya dengan cara melakukan pengelolaan tanah dengan tujuan untuk menumbuhkan dan memelihara tanaman dengan harapan untuk memperoleh hasil dari tanaman tersebut untuk digunakan sendiri ataupun menjualnya kepada orang lain; (3) Peran produktif sebagai buruh pencuci pakayan yaitu dorongan ekonomi yang mendorong istri nelayan menjadi buruh pencuci pakayan; (4) Peran produktif sebagai pengolah ikan, istri nelayan di kelurahan lemo mencari tambahan penghasilan dalam usaha memenuhi kebutuhan ekonomi rumah tangga mereka seperti pengolah ikan; (5) Peran reproduktif sebagai ibu rumah tangga Ibu rumah tangga ialah perempuan yang mengurus segala kegiatan dirumah. Sedangkan kendala-kendala yang dihadapi oleh istri nelayan: (1) modal merupakan salah satu faktor yang sangat menentukan dalam melakukan kegiatan menjual ikan sebab tanpa adanya modal yang cukup maka setiap yang dijalankan tidak dapat berjalan dengan baik; (2) penghasilan yang rendah adalah salah satu kendala mengapa istri memilih membantu suaminya yang bekerja sebagai nelayan.; (3) waktu dan musim menjadi kendala bagi nelayan karena tidak setiap waktu cuaca bagus.; (4) harga ikan yang tidak menentu atau berubah sesuai dengan cuaca dan hasil tangkapan serta mempengaruhi nilai jual dari ikan.(5) waktu merupakan salah satu kendala dalam setiap pekerjaan sehingga pengaturan waktu dalam bekerja tidak ditentukan untuk bekerja secara terus menerus
Predicting Stock Prices Using The RF-LSTM Combination Model
Authors: Yao Yao 
Published: August 2024

Because of the nonlinearity and complexity of stock data, a single model's prediction performance is insufficient. A combined RF-LSTM model is suggested to forecast the closing price of stocks in order to solve this problem. Firstly, stock data is obtained from the Kaggle platform, feature sets are constructed, and data is normalized. Secondly, considering the high nonlinearity and information redundancy among multiple features, the optimal feature set is selected using random forest (RF) to reduce data dimensionality and training complexity. Ultimately, a long-short term memory (LSTM) network—which is capable of processing time series data in deep learning—is used to forecast stock prices, and the prediction model is modified accordingly. Comparing the proposed RF-LSTM combined model to the single LSTM neural network model, the results indicate a reduction in root mean squared error (RMSE) and mean squared error (MSE) of 4.14% and 1.00%, respectively. The prediction accuracy of stock prices can be increased by using this combined model.
Visitatie in de advocatuur: vreemde ogen zien blinde vlekken
Authors: Wolfson D.J. 
Published: August 2024

Independent peer review of law firms
There is a growing consensus among practitioners that independent peer review is the preferred approach to furthering trust in the legal professions. The article draws on experience abroad, as reported in the professional literature, and lessons from comparable arrangements at home, in academia and the medical professions. It formulates an institutional design in which an autonomous agency, independent of the Lawyers' Association and at arms' length from the Minister of Justice, develops methodology and organizes peer reviews by fellow-practitioners. Since professionals, everywhere, like to share experience, it is argued that making site-visits, sampling case-files, and discussing a self-evaluation of the practice under review promotes open innovation and creates scope for shaping rather than controlling professional excellence. It also allows for discretion in catering to the widely diverging needs of large international law firms and small local practices that a system of command and control could not deliver.
K-Means Clustering dalam Dunia Konveksi: Pengelompokan Cerdas untuk Optimalisasi Stok
Authors: Agung Yuliyanto Nugroho  
Published: August 2024

The garment industry faces challenges in grouping diverse goods based on their characteristics, which can affect the efficiency of the production process and inventory management. This study aims to apply the K-Means Clustering algorithm in garment goods classification to improve business process management and optimization. The K-Means algorithm, as one of the popular clustering methods, is used to group garment goods data based on features such as size, color, fabric type, and product model. This method begins with the selection of relevant features from the dataset obtained from the garment industry. Furthermore, the K-Means algorithm is implemented to determine the optimal number of clusters using the elbow score and silhouette methods. The clustering results are analyzed to evaluate the extent to which the algorithm can form homogeneous and business-relevant groups of goods. The results of this study indicate that the K-Means Clustering algorithm is effective in grouping garment goods into several categories that are consistent with business patterns and needs. The application of this method results in a better understanding of goods grouping that can improve production efficiency and facilitate inventory management. This study contributes to the best practices in the use of the K-Means algorithm in the convection sector and shows the potential of this method in supporting data-driven decision making.

Keywords:,