bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mesh Generation and ongoing Developments
Authors: Xing Jacques , Kirilov Kaloyan S , Zhou Jingtian , Lahooti Mohsen , Aghakhani Amirreza 
Published: July 2024

This session presents ongoing development on mesh generation and other application of spectral/hp element within Nektar++ framework and comprises the following talks
1. Implementation of the Parareal Algorithm in the Nektar++ Spectral/hp Element Framework with Applications to Linear and Non-Linear Problems
2. NekMesh: High-Order Mesh Generation and Adaptation with NekMesh
3. Locomotion of microparticles close to wallImplementation of the Parareal Algorithm in the Nektar++ Spectral/hp Element Framework with Applications to Linear and Non-Linear ProblemsNektar++ is an open-source spectral-hp element framework designed to support the development of solvers for partial differential equations. The software supports various discretization techniques, notably both continuous and discontinuous Galerkin, in combination with both modal and nodal expansions. Recently, time-parallel integration techniques are recognized as a potential solution to further increase concurrency and speed-up beyond the limits of strong scaling obtained from a pure spatial domain decomposition. Amongst the various time-parallel approaches proposed in the literature, the Parareal algorithm has become one of the most popular one. Parareal is a non-intrusive, iterative-based approach, exploiting a fine and coarse solvers to achieve time-parallelism and can be applied to both linear and non-linear problems. The efficient implementation of the Parareal algorithm in the Nektar++ open-source framework is described in this work. Application to multiple linear and non-linear problems is shown.NekMesh: High-Order Mesh Generation and AdaptationFirst, we present the redesigned high-order mesh generation pipeline from third-party straight-sided meshes for very complex industrial geometries. This workflow integrates all NekMesh high-order mesh curving, surface and volume optimizations, boundary-layer splitting and untangling. We showcase the meshed complex geometries but also the recent advances in the workflow such as multiple sources of CAD-truth, the tools for assessing geometrical accuracy, mesh quality and ensuring periodicities. The main focus of this talk is the mesh modification techniques that extend the mesh generation capabilities but also allow a-posteriori mesh optimization and adaptation. We provide a brief overview of the novel h- and the existing r- and p-adaptation techniques in NekMesh and Nektar++ for both 2D and 3D problems. Then, we combine these in r-p, h-p and h-r-p adaptations, showing the advantages of applying all three adaptation techniques simultaneously for compressible flows.
Space and field-based investigations towards understanding the characteristics and origin of an inhabited rock glacier in NW Himalaya
Authors: Pandey Pratima , Khan Md Ataullah Raza , Ali Sheikh Nawaz 
Published: July 2024

The current space and field-based investigation of an important (inhabited) rock glacier (RG) in the north-western (NW) Himalaya aims to comprehend its morphological properties and genesis. Although the RG displays an inactive frontal lobe, small active lobes may be seen in the upper reaches, > 3900 m asl. The permafrost distribution map reveals that the rock glacier contains either discontinuous or sporadic permafrost. We propose that, while the rock glacier does not show indications of an active front, small RG lobes do show movement in the upper reaches. Furthermore, the presence of a well-preserved right lateral moraine implies that this RG originated from a previously glaciated valley and is supported and sustained by a constant supply of talus (rock debris) from the present sedimentary catchment to the northeast. The quick thawing of the RGs will significantly impact and perhaps lead to the complete migration of the inhabitants to other areas.
Sociální připravenost dětí předškolního věku na školní docházku pod vlivem pandemie Covid 19
Authors: Valchářová Kateřina 
Published: July 2024

Nástup dítěte do povinného základního vzdělávání je významným mezníkem v životě dítěte, kde hraje důležitou roli nejenom jeho zralost a připravenost fyzická a psychická, ale i sociální. Dítě je tak připraveno lépe zvládnout novou roli, tj., roli školáka, vyrovnat se s nároky i se změnami, které sebou nástup do první třídy přináší. Příspěvek se zabývá sociálními dovednostmi u dětí předškolního věku, které navštěvují klasickou mateřskou školu, a to v době pandemie COVID, která rozvoj sociálních dovedností významně ovlivnila. V úvodu textu se autorka zaměřuje na problematiku sociální připravenosti dětí k zahájení povinné školní docházky v rovině teoretické. Následně představuje výzkum zaměřený na sociální připravenosti dětí k zahájení povinné školní docházky v kontextu faktorů významně ovlivňujících rozvoj sociálních dovedností, k nimž řadí pandemii COVID, kdy děti nenavštěvovaly mateřskou školu, byly izolovány od svých kamarádů a v podstatě se změnil i život v rodině. Výzkum má charakter kvalitativního designu postaveného na základě systematického popisu a vyhodnocení jednotlivých případů. Výsledky jsou popisovány v logických souvislostech a jsou reflektovány s teoretickými východisky. Dílčí výsledky výzkumného šetření jsme pro potřeby tohoto příspěvku uvedli do vztahových sítí.
Pengaruh Brand Ambassador Terhadap Keputusan Pembelian Melalui Niat Beli
Authors: Gebi Herry  , William Widjaja  
Published: July 2024

The current phenomenon is that the entertainment and beauty industry releases many products that can be used by the whole community, so this can create a different culture, encouraging the attraction of celebrity endorsers, who are figures (a person, mascot or group) who are known by the social community and celebrity endorsers. one of them is Twice (K-pop girl group) which is currently collaborating or has an agreement to endorse a brand in the form of Scarlett Whitening skincare products or services. This will influence a brand ambassador on the buyer's decision through the intention to purchase the product, so the author aims to analyze how much influence the brand ambassador has on the buyer's decision through people's purchase intention by using a survey research type method and a quantitative approach as a data collection tool through questionnaires. Data obtained through questionnaires shows that the percentage of women is 84% ​​and the percentage of men is 16%. The results of this research are that brand ambassadors have a positive and significant effect on purchasing interest. Where Scarlett Whitening has superior quality products including consumer trust so it can be concluded that brand ambassadors do not increase purchasing decisions for Scarlett Whitening products. The author gives advice to Scarlett Whitening as the object of this research, even though Twice is already quite good, it still needs to seek more brand awareness and increase consumer trust.
Efektifitas Diabetes Self Management Education (DSME) Dengan Media Audiovisual Terhadap Perawatan Diri dan Kualitas Hidup Penderita Diabetes Mellitus Tipe 2
Authors: Iolla Devi Aura Fajri  , Faiz Alfiyah  , Antony Bagus Birowo  , Jeny Nur Ainni  , Farros Irfan Aryaguna  , M. Adam Simabura  , Amanda Putri Salsabila  , Adib Zuvarul Nuha  
Published: July 2024

Latar Belakang: DM sebagai penyakit metabolik yang dapat menimbulkan berbagai komplikasi memiliki dampak yang signifikan terhadap kualitas hidup individu yang terkena. Pendekatan yang efektif seperti edukasi sangat penting bagi pasien DM agar komplikasi DM. Diabetes self management education (DSME) telah ditingkatkan melalui berbagai pendekatan tetapi dengan pendekatan melalui metode audiovisual masih jarang digunakan. Media audiovisual merupakan salah satu faktor yang secara signifikan mempengaruhi efektifitas DSME dalam meningkatkan kualitas hidup dan perawatan diri. Tujuan: Penelitian ini bertujuan mengetahui efektifitas diabetes self management education (DSME) dengan media audiovisual terhadap perawatan diri dan kualitas hidup penderita DM tipe 2. Metode: Desain penelitian ini menggunakan tela’ah literatur secara sistematis. Sumber artikel dari Google Scholar, PubMed, Scient Direct dengan kata kunci Diabetes Mellitus Tipe 2, DSME, perawatan diri, dan kualitas hidup. Tipe studi yang ditelusuri adala jenis Quasi Experiment dan Randomized Control Trial. Bahasa yang digunakan adalah Bahasa Indonesia dan Bahasa Inggris dengan rentang waktu penerbitan pada tahun 2018-2022 Hasil: Terdapat 15 artikel hasil sintesis dengan tema jenis edukasi; evaluasi manajemen diri; dan efek DSME pada peningkatan kualitas hidup pasien DM Tipe 2. Kesimpulan: Pemberian DSME dengan media audiovisual terhadap perawatan diri dan kualitas hidup penderita DMT2.
Mekanika Material Komposit
Authors: Ahmedi Asraf  
Published: July 2024

Material komposit memiliki banyak keunggulan dibandingkan dengan material-material yang lain. Salah satu keunggulan tersebut adalah sifatnya yang kuat, kaku, sekaligus ringan. Material dengan sifat-sifat yang seperti ini sangat diperlukan untuk pembuatan struktur ringan yang banyak diaplikasikan di berbagai bidang. Melihat luasnya penggunaan material komposit untuk pembuatan struktur ringan maka penjelasan yang komprehensif, sistematis, dan terperinci tentang material tersebut juga sangat diperlukan. Buku ini ditulis dengan harapan dapat menjadi bacaan utama baik bagi pelajar, pengajar, maupun praktisi di bidang material komposit.
Pembahasan pada buku ini terfokus pada analisis tentang mekanika dari material komposit yang berupa lamina dan laminat pada skala makro. Inti dari pembahasan tersebut adalah berupa penjelasan tentang hubungan respons material komposit dengan gaya luar, perubahan suhu, dan perubahan tingkat kelembapan dari material komposit tersebut.
Buku ini terdiri atas delapan bab yang berkaitan antara satu dan lainnya. Bab pertama menjadi dasar untuk mempelajari bab kedua dan seterusnya. Oleh sebab itu, setiap bab pada buku ini harus dipelajari secara berurutan. Kemudian, untuk memudahkan pembaca, di setiap awal bab, terdapat peta konsep yang menunjukkan keterkaitan antarsubbab pada bab tersebut. Selain itu, terdapat contoh-contoh soal terkait konsep-konsep yang diberikan.
Pembaca buku ini diasumsikan telah mempelajari kalkulus, aljabar linier dan fisika dasar mekanika. Pemahaman pembaca tentang mekanika material akan sangat membantu, tetapi pemahaman tersebut tidak menjadi prasyarat untuk mempelajari buku ini.
Some Unique Fixed Point Theorems on Complete Metric Space with Upper Semi Continuous Mapping
Authors: Jojar Godavari , Dolhare Uttam , Basude Sachin , Darkunde Nitin 
Published: July 2024

In the present article, we have proved two common fixed point theorems (FPT) for complete metric space (CMS) with the help of upper semi-continuous function along with the existence and uniqueness of fixed point. These results are the generalizations of the well-known theorems Kannan fixed point theorem (KFPT) and Chatterjea fixed point theorem (CFPT) in the existed literature. The KFPT and CFPT are the generalizations of Banach fixed point theorem (BFPT).
La otra búsqueda en la pintura de María Luisa Pacheco: la síntesis creadora
Authors: Luna Ortuño Jorge 
Published: July 2024

A partir de la noticia de dos recientes exposiciones dedicadas a la pintura de la artista boliviana María Luisa Pacheco, este ensayo propone renovar la apreciación de su obra, a partir de una crítica a la interpretación tradicional que somete el arte abstracto de Pacheco al simbolismo andino, y encasilla su obra dentro de las románticas representaciones del paisaje altiplánico. Se propone una lectura más ligada a los fundamentos del expresionismo abstracto, donde se entiende que una superficie azul no busca representar el cielo o el mar, sino que expresa un gesto independiente de la realidad, creación de una experiencia visual propia de la pintura. Tomamos como eje una conferencia sobre el arte dictada por María Luisa Pacheco en 1976, en la ciudad de La Paz, explorando en la filosofía espontánea de la artista (cercanía con el idealismo alemán, dialéctica hegeliana y la visión indígena del tiempo en los Andes bolivianos). A Pacheco le interesaba más el proceso artístico que el producto, por lo que preservó su sentido de autenticidad y reivindicó una práctica que diluyera la aparente dicotomía entre lo local/universal, durante su viaje hacia la liberación de la pintura.
STRATEGI BERSAING AYAM GORENG MASTER CHICKEN BANDAR LAMPUNG (Studi Kasus Pada Ayam Goreng Master Chicken Bandar Lampung)
Authors: Kurniawan Rudi , Prikurnia Anas Khair , Nurbaiti Seni 
Published: July 2024

ABSTRAKLampung merupakan daereh sedang berkembang dimana fasilitas-fasilitas seperti tempat penginapan di kota Bandar Lampung saat ini terus diciptakan, selain Fasilitas-fasilitas lain mengikuti perkembangan rumah makan baik berskala besar maupun kecil. Rumah Makan di Bandar Lampung dari waktu ke waktu menunjukan perkembangan yang signifikan. Hal ini terlihat dari banyaknya usaha rumah makan yang di bangun tersebar hampir seluruh wilayah Bandar Lampung. Penelitian ini digunakan metode analisis Matrik Daya Tarik Industri atau yang sering disingkat MDTI.yaitu menentukan variable-variabel yang berpengaruh bagi perusahaan.variable eksternal dan internal. Setelah itu pendekatan kuantitatif dengan pemberian bobot pada variable eksternal dan internal perusahaan maupun konsumen. pemberian bobot, total keseluruhan variable eksternal maupun internal yaitu 1 atau 100%. dalam pemberian nilai, digunakan criteria tertentu yaitu menggunakan skala 4. Dari analisis variabel internal, diketahui adanya peluang perusahaan yang ditunjukkan oleh indikator: variasi produk pelayanan dari segi kecepatan dan keterampilan dan fasilitas dari segi toilet dan fasilitas pendukung lainnya hasil analisis variabel eksternal, diketahui bahwa peluang bagi perusahaan yang ditunjukkan oleh indikator: daya beli konsumen strategi berdasarkan MDTI, yaitu dengan: Pertumbuhan Selektif, Investasi Agresif, dan Memelihara Posisi Di Tempat Lainmemberikan nilai tambah bagi konsumen lokasi perusahaan, disarankan agar melakukan desentralisasi lokasi sehingga mudah dijangkau konsumen dan sumber daya manusia, menambah jumlah karyawan konsumen karyawan terpenuhi.Indikator ancaman bagi perusahaan jaminan produk, maka disarankan perusahaan melakukan kerja sama dengan departemen kesehatan dan Badan POM untuk melakukan pencegahan dan penanggulangan virus flu burung, dan memberikan dipenelitian lokasi strategis guna menarik pelanggan potensial.Kata Kunci: Startegi, Persaingan, dan MDTI
Green Chemistry Strategies for Mitigating Microplastic Pollution in Aquatic Environments
Authors: Samuel Humphrey , Makong Francis-Dominic , Ori Merit 
Published: July 2024

Microplastic pollution poses a growing threat to aquatic ecosystems. This review explores green chemistry strategies for mitigating this issue. The focus is on preventing microplastic generation at the source. Strategies include designing plastic products for reusability and recyclability, developing biodegradable plastics, and utilizing alternative materials. Improved wastewater treatment processes to capture microplastics before they enter aquatic environments are addressed. Biodegradable plastics and microplastic capture methods in wastewater treatment facilities are highlighted as promising green solutions. Green chemistry principles are emphasized throughout, highlighting the importance of environmentally friendly solutions. By implementing these strategies, we can significantly reduce microplastic pollution and protect our precious water resources.
Efficient prediction of anticancer peptides through deep learning
Authors: Salam Abdu , Ullah Faizan , Amin Farhan , Ahmad Khan Izaz , Garcia Villena Eduardo , Kuc Castilla Angel , de la Torre Isabel 
Published: July 2024

Background
Cancer remains one of the leading causes of mortality globally, with conventional chemotherapy often resulting in severe side effects and limited effectiveness. Recent advancements in bioinformatics and machine learning, particularly deep learning, offer promising new avenues for cancer treatment through the prediction and identification of anticancer peptides.

Objective
This study aimed to develop and evaluate a deep learning model utilizing a two-dimensional convolutional neural network (2D CNN) to enhance the prediction accuracy of anticancer peptides, addressing the complexities and limitations of current prediction methods.

Methods
A diverse dataset of peptide sequences with annotated anticancer activity labels was compiled from various public databases and experimental studies. The sequences were preprocessed and encoded using one-hot encoding and additional physicochemical properties. The 2D CNN model was trained and optimized using this dataset, with performance evaluated through metrics such as accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC-ROC).

Results
The proposed 2D CNN model achieved superior performance compared to existing methods, with an accuracy of 0.87, precision of 0.85, recall of 0.89, F1-score of 0.87, and an AUC-ROC value of 0.91. These results indicate the model’s effectiveness in accurately predicting anticancer peptides and capturing intricate spatial patterns within peptide sequences.

Conclusion
The findings demonstrate the potential of deep learning, specifically 2D CNNs, in advancing the prediction of anticancer peptides. The proposed model significantly improves prediction accuracy, offering a valuable tool for identifying effective peptide candidates for cancer treatment.

Future Work
Further research should focus on expanding the dataset, exploring alternative deep learning architectures, and validating the model’s predictions through experimental studies. Efforts should also aim at optimizing computational efficiency and translating these predictions into clinical applications.
deepAMPNet: a novel antimicrobial peptide predictor employing AlphaFold2 predicted structures and a bi-directional long short-term memory protein language model
Authors: Zhao Fei , Qiu Junhui , Xiang Dongyou , Jiao Pengrui , Cao Yu , Xu Qingrui , Qiao Dairong , Xu Hui , Cao Yi 
Published: July 2024

Background
Global public health is seriously threatened by the escalating issue of antimicrobial resistance (AMR). Antimicrobial peptides (AMPs), pivotal components of the innate immune system, have emerged as a potent solution to AMR due to their therapeutic potential. Employing computational methodologies for the prompt recognition of these antimicrobial peptides indeed unlocks fresh perspectives, thereby potentially revolutionizing antimicrobial drug development.

Methods
In this study, we have developed a model named as deepAMPNet. This model, which leverages graph neural networks, excels at the swift identification of AMPs. It employs structures of antimicrobial peptides predicted by AlphaFold2, encodes residue-level features through a bi-directional long short-term memory (Bi-LSTM) protein language model, and constructs adjacency matrices anchored on amino acids’ contact maps.

Results
In a comparative study with other state-of-the-art AMP predictors on two external independent test datasets, deepAMPNet outperformed in accuracy. Furthermore, in terms of commonly accepted evaluation matrices such as AUC, Mcc, sensitivity, and specificity, deepAMPNet achieved the highest or highly comparable performances against other predictors.

Conclusion
deepAMPNet interweaves both structural and sequence information of AMPs, stands as a high-performance identification model that propels the evolution and design in antimicrobial peptide pharmaceuticals. The data and code utilized in this study can be accessed at https://github.com/Iseeu233/deepAMPNet.
Low‐temperature magnetic properties of pelagic carbonates: Oxidation of biogenic magnetite and identification of magnetosome chains
Authors: Chang Liao , Winklhofer Michael , Roberts Andrew P. , Heslop David , Florindo Fabio , Dekkers Mark J. , Krijgsman Wout , Kodama Kazuto , Yamamoto Yuhji 
Published: November 2013

AbstractPelagic marine carbonates provide important records of past environmental change. We carried out detailed low‐temperature magnetic measurements on biogenic magnetite‐bearing sediments from the Southern Ocean (Ocean Drilling Program (ODP) Holes 738B, 738C, 689D, and 690C) and on samples containing whole magnetotactic bacteria cells. We document a range of low‐temperature magnetic properties, including reversible humped low‐temperature cycling (LTC) curves. Different degrees of magnetite oxidation are considered to be responsible for the observed variable shapes of LTC curves. A dipole spring mechanism in magnetosome chains is introduced to explain reversible LTC curves. This dipole spring mechanism is proposed to result from the uniaxial anisotropy that originates from the chain arrangement of biogenic magnetite, similar to published results for uniaxial stable single domain (SD) particles. The dipole spring mechanism reversibly restores the remanence during warming in LTC measurements. This supports a previous idea that remanence of magnetosome chains is completely reversible during LTC experiments. We suggest that this magnetic fingerprint is a diagnostic indicator for intact magnetosome chains, although the presence of isolated uniaxial stable SD particles and magnetically interacting particles can complicate this test. Magnetic measurements through the Eocene section of ODP Hole 738B reveal an interval with distinct magnetic properties that we interpret to originate from less oxidized biogenic magnetite and enrichment of a biogenic “hard” component. Co‐occurrence of these two magnetic fingerprints during the late Eocene in the Southern Ocean indicates less oxic conditions, probably due to increased oceanic primary productivity and organic carbon burial.
Nocturnal soil CO2 uptake and its relationship to subsurface soil and ecosystem carbon fluxes in a Chihuahuan Desert shrubland
Authors: Hamerlynck Erik P. , Scott Russell L. , Sánchez‐Cañete Enrique P. , Barron‐Gafford Greg A. 
Published: November 2013

AbstractDespite their prevalence, little attention has been given to quantifying arid land soil and ecosystem carbon fluxes over prolonged, annually occurring dry periods. We measured soil [CO2] profiles and fluxes (Fs) along with volumetric soil moisture and temperature in bare interplant canopy soils and in soils under plant canopies over a three‐month hot and dry period in a Chihuahuan Desert shrubland. Nocturnal Fs was frequently negative (from the atmosphere into the soil), a form of inorganic carbon exchange infrequently observed in other deserts. Negative Fs depended on air‐soil temperature gradients and were more frequent and stronger in intercanopy soils. Daily integrated ecosystem‐level Fs was always positive despite lower daily Fs in intercanopy soils due to nocturnal uptake and more limited positive response to isolated rains. Subsurface [CO2] profiles associated with negative Fs indicated that sustained carbonate dissolution lowered shallow‐soil [CO2] below atmospheric levels. In the morning, positive surface Fs started earlier and increased faster than shallow‐soil Fs, which was bidirectional, with upward flux toward the surface and downward flux into deeper soils. These dynamics are consistent with carbonate precipitation in conjunction with convection‐assisted CO2 outgassing from warming air and soil temperatures and produced a pronounced diurnal Fs temperature hysteresis. We concluded that abiotic nocturnal soil CO2 uptake, through a small carbon sink, modulates dry season ecosystem‐level carbon dynamics. Moreover, these abiotic carbon dynamics may be affected by future higher atmospheric carbon dioxide levels and predictions of more prolonged and regular hot and dry periods.