bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying Specific Human Resource Management Practices for Aging Workforce in Public Organizations
Authors: Fadaei Mohammad Ali , Mansoori Hosein , Abbasnezhad Tayebeh 
Published: December 2023

Introduction: The main capital of any organization is its human resources(HR). Organizations invest substantial costs in attracting, retaining, and training individuals. Therefore, it is essential to identify and implement appropriate practices to preserve and enhance HR. Aging of employees is an inevitable phenomenon that poses challenges to all organizations, irrespective of specific geographical locations, because the employees will get old and leave the organization. This research aims to identify HR management practices for aging employees in public organizations in Jahrom City, Fars Province, Iran, in the year 2022.

Methods: This study utilizes meta-synthesis and Delphi methods to extract and identify management practices for aging HR. In the meta-synthesis section, the library method was used and community under study in the Delphi section included 28 academic (university professors with doctorate degrees in HR or organizational behavior) and organizational (senior managers and HR managers of public organizations in Jahrom) experts. The research tool used in the Delphi section was a questionnaire conducted in 3 rounds.

Results: Through the study of the sources using meta-synthesis method, a total of 79 organizational practices were identified, categorized into 11 main dimensions. After three rounds, a consensus was reached on 60 practices, organized into 9 main dimensions, and the Delphi rounds were concluded. In the final round, no new practices were suggested or removed. Due to the minimal differences in the Kendall coefficient among the different rounds, the Delphi rounds were concluded.

Conclusion: It is necessary to plan and implement all these practices in parallel and simultaneously. However, as the most crucial management measure is planning, there is a need for planning, coordination, and harmonization at the legislative, administrative, and recruitment levels. Implementing the proposed practices through organizational experts, HR managers, and the active participation of aging employees in implementing practical practices will lead to better execution.
EKSISTENSI AGROWISATA TANJUNG SAKTI DALAM MENINGKATKAN PENDAPATAN EKONOMI MASYARAKATDESA SINDANG PANJANG
Authors: Fadhilah Sindy , Suryati Suryati , Isnaini Mohd Aji 
Published: December 2023

Tujuan dari penelitian iniUntuk mengetahui Aktualisasi kegiatan apa saja yang terdapat di Agrowisata Tanjung Sakti dalam meningkatkan ekonomi masyarakat di desa sindang panjang. Untuk mengetahui bagaimana potensi wisatawan dengan adanya Agrowisata Tanjung Sakti. Metode yang digunakan dalam penelitian ini adalah metode kualitatif, dengan cara suatu pendekatan deskriftif. Teknik dalam pengumpulan data dalam penelitian ini menggunakan teknik wawancara, observasi dan dokumentasi. Teknik analisisis data yang digunakan yaitu dengan cara reduksi data, penyajian data, dan penarikan kesimpulan. Hasil dari penelitian ini menunjukan bahwasanya Aktualisasai kegiatan apa saja yang terdapat di Agrowisata Tanjung Sakti dalam meningkatkan ekonomi masyarakat di desa sindang panjang yaitu membuat tempat wisata air terjun buatan, pengembangan dari sektor pertanian dan perkebunan seperti penanaman padi, cabai, durian serta penanaman berbagai macam jenis tanaman hias. pemberdayaan para pelaku usaha UMKM dari masyarakat dan kerja sama dengan masyarakat dalam pembangunan Home Stay atau penginapan di sekitar Agrowisata Tanjung Sakti.Potensi wisatawan dengan adanya Agrowisata Tanjung Sakti sangatlah besar dari awal mula di resmikan pada tanggal 30 oktober 2020, wisatawan yang datang sangat banyak baik dari dalam kota maupun luar kota bahkan pada saat hari raya idul fitri dan tahun baru wisatawan yang datang bisa mencapai 3000 wisatawan per harinya.
AN ANALYSIS OF MORAL VALUES OF THE DRAMA SERIES YUMI’S CELL
Authors: Hidayanti Fitriana 
Published: December 2023

The purpose of the study is to analyze and describe the moral values in Yumi's Cells drama series. The type of research is descriptive qualitative with content analysis techniques. Study found that there are moral values contained in the drama series, namely the importance of being disciplined, frugal, not adhering to negative thoughts, being helpful, thinking rationally, being professional, wise, calm, polite, honest, mindful, loving of ourselves, and being resilient. Other moral values are about sacrifices, keeping in touch, being open, courageous, and to apologize, to be ready for the worst, being independent, hygienic, responsible, and hardworking. The drama series with a cinematography that combined 3D animation and live action is recommended to be watched by teenagers and adult because the moral values contained in the series are in accordance with Indonesian culture.
Sistem Pembuktian Terbalik Dalam Upaya Penanganan Tindak Pidana Korupsi
Authors: Ismawati Novita Tri 
Published: December 2023

<p class="Abstract-Ina-Text"><span lang="ZH-CN">Dalam sebagian besar pengadilan pidana, beban pembuktian ada pada penuntutan. Berbeda dengan persidangan korupsi, terdakwa </span>memiliki <span lang="ZH-CN">hak </span>guna mengungkapkan<span lang="ZH-CN"> bahwa</span>sanya<span lang="ZH-CN"> dirinya tidak </span>terlibat<span lang="ZH-CN"> tindak pidana korupsi dalam perkara ini. Penelitian ini bertujuan untuk mengkaji efektivitas </span>dan <span lang="ZH-CN">penggunaan</span><span lang="ZH-CN">metode pembuktian terbalik dalam ti</span>pikor<span lang="ZH-CN">. Kajian semacam ini menganalisis teks </span>memakai<span lang="ZH-CN"> metodologi hukum normatif. Hasil penelitian me</span>mperlihatkan<span lang="ZH-CN"> bahwa</span>sanya<span lang="ZH-CN"> terdakwa </span>memakai<span lang="ZH-CN"> haknya </span>guna memanfaatkan<span lang="ZH-CN"> alat bukti terbalik dalam penerapan alat bukti terbalik. Namun, terdakwa tidak </span>bisa<span lang="ZH-CN"> me</span>ngungkapkan<span lang="ZH-CN"> bahwa</span>sanya<span lang="ZH-CN"> harta</span>nya<span lang="ZH-CN"> bukan</span>lah<span lang="ZH-CN"> merupakan hasil tindak pidana korupsi, padahal diharuskan. Akibatnya, terdakwa tidak sepenuhnya </span>memakai<span lang="ZH-CN"> hak</span> yang dimilikinya guna<span lang="ZH-CN"> mengajukan bukti terbalik, dan Jaksa Penuntut Umum </span>mesti terus<span lang="ZH-CN"> membuktikan </span>adanya tipikor<span lang="ZH-CN">.</span></p>
Weakening Effect of Water on Mechanical Properties of Brittle Shale under Triaxial Compression
Authors: Yang F. W. , Li B. Y. , Du P. Z. , Liu Z. H. 
Published: December 2023

Abstract
The mechanical properties of rock materials are remarkably affected by water. To reveal the effect of water on the mechanical properties of shale, the conventional triaxial compression tests were implemented for shale with the five kinds of water saturation coefficient. According to the test results, the influence of the saturation coefficient on strength and deformation parameters was analyzed. Based on the fitting result of the Mohr-Coulomb criterion, the relationship between the strength parameters and the water saturation coefficient was analyzed. The softening effect of water on shale is mainly due to the decrease of cohesion and internal friction coefficient with increasing of water saturation coefficient. The strength criterion considering the influence of water weakening was established according to the function relationship between the fitting parameters and the water saturation coefficient. In addition, three kinds of brittleness indexes were selected to quantitatively analyze the influence of the saturation coefficient on shale brittleness. The results indicated that the brittleness indexes all decreased with the increase of the saturation coefficient, and the brittleness of shale is weakened after water absorption. The research results can provide a reference for the evaluation of saturated shale brittleness.
Ultrahigh-Resolution Reconstruction of Shale Digital Rocks from FIB-SEM Images Using Deep Learning
Authors: Liang Yipu , Wang Sen , Feng Qihong , Zhang Mengqi , Cao Xiaopeng , Wang Xiukun 
Published: December 2023

Summary
Accurate characterization of shale pore structures is of paramount importance in elucidating the distribution and migration mechanisms of fluids within shale rocks. However, the acquisition of high-resolution (HR) images of shale rocks is limited by the precision of the scanning equipment. Even with higher-precision devices, compromising the image field of view becomes inevitable, making it challenging to faithfully represent the actual conditions of shale. We propose a stepwise 3D super-resolution (SR) reconstruction method for shale digital rocks based on the widely used focused-ion-beam scanning electron microscope (FIB-SEM) technique. This method effectively addresses the issues of inconsistent horizontal and vertical resolutions as well as low 3D image resolution in FIB-SEM images. By adopting this approach, we significantly enhance image details and clarity, enabling successful observations of pores smaller than 10 nm within shale and laying a foundation for further pore-scale flow simulations. Furthermore, we extract the pore network model (PNM) from the SR reconstructed digital rock to analyze the pore size distribution, coordination number, and pore-throat ratio of shale samples from the Jiyang Depression. The results demonstrate a pore radius distribution in the range of 0 nm to 40 nm, which aligns with the results from nitrogen adsorption experiments. Notably, pores with radii smaller than 10 nm account for 50% of the total connected pores. The proportion of isolated pores in the SR reconstructed shale PNM is significantly reduced, with the coordination number mainly distributed between 1 and 4. The pore-throat ratio of shale ranges from 1 to 3, indicating a relatively uniform development of pores and throats. This study introduces a novel method for accurately characterizing the shale pore structure, which aids researchers in evaluating the pore size distribution and connectivity of shales.
Multi-output prediction of dose-response curves enable drug repositioning and biomarker discovery
Authors: Wang Dennis , Gutierrez Juan-José Giraldo , Lau Evelyn , Dharmapalan Subhashini , Parker Melody , Chen Yurui , Alvarez Mauricio 
Published: December 2023

Abstract

Drug screening plays a crucial role in the development of innovative therapeutics for various diseases. In this study, we propose a novel approach using probabilistic multi-output models to predict drug response at all doses and uncover their biomarkers. By leveraging genomic features and chemical properties of drugs, our multi-output Gaussian Process (MOGP) models provide a comprehensive understanding of drug efficacy across different dose metrics. This approach was tested across two drug screening studies and five cancer types. It captured underlying response trends and enabled the identification of the EZH2 gene as a novel biomarker of BRAF inhibitor response. We demonstrate the effectiveness of our MOGP models in accurately predicting dose-responses in different cancer types and when there is limited number of drug screening experiments for training. Our findings highlight the potential of MOGP models in enhancing drug development pipelines by reducing data requirements and improving precision in dose-response predictions.
Potential Adoption and Benefits of Co-optimized Multimode Engines and Fuels for U.S. Light-duty Vehicles
Authors: Hawkins Troy , Oke Doris , Sittler Lauren , Zaimes George , Cai Hao , Brooker Aaron , Longman Doug , Vijayagopal Ram , Gohlke David , Newes Emily , Singh Avantika , Dunn Jennifer , Gaspar Daniel 
Published: December 2023

Abstract

The multimode engine research focuses on the benefits of light-duty vehicle engines which can operate in multiple modes depending on the vehicles’ load. Low temperature combustion can improve efficiency and reduce emissions during low-load operation, while spark ignition performance is maintained in high-load operation. These advanced engines can be optimized to run on blends of biobased fuels. This analysis models scenarios for potential market adoption of co-optimized multimode vehicles fueled by three different bioblendstocks: Ethanol, Isopropanol, and Isobutanol. We combine vehicle sales modeling, systems dynamics modeling of the biorefining industry, and life cycle assessment to estimate environmental impacts across a wide parameter space for incremental vehicle cost and engine efficiency improvement. Analysis reveals that co-optimized multimode fuels and vehicles can reduce light-duty greenhouse gas (GHG) emissions by 5% in 2050, relative to a business-as-usual scenario. Results indicate that co-optimized multimode vehicles can be cost competitive with conventional gasoline and can be strategically leveraged in tandem with electrification. Co-optimized vehicles could play a role in the early years, while electric vehicles could become more competitive in the later years, highlighting their complementary roles for GHG reductions.
Unagi: Deep Generative Model for Deciphering Cellular Dynamics and In-Silico Drug Discovery in Complex Diseases
Authors: Zheng Yumin , Schupp Jonas , Adams Taylor , Clair Geremy , Justet Aurelien , Ahangari Farida , Yan Xiting , Hansen Paul , Carlon Marianne , Cortesi Emanuela , Vermant Marie , Vos Robin , De Sadeleer Laurens , Rosas Ivan , Pineda Ricardo , Sembrat John , Königshoff Melanie , Mcdonough John , Vanaudenaerde Bart , Wuyts Wim , Kaminski Naftali , Ding Jun 
Published: December 2023

Abstract
Human diseases are characterized by intricate cellular dynamics. Single-cell sequencing provides critical insights, yet a persistent gap remains in computational tools for detailed disease progression analysis and targeted in-silico drug interventions. We introduce UNAGI, a deep generative neural network tailored to analyze time-series single-cell transcriptomic data. This innovative tool captures the complex cellular dynamics underlying disease progression, enhancing drug perturbation modeling and discovery. When applied to a dataset from patients with Idiopathic Pulmonary Fibrosis (IPF), UNAGI adeptly learns disease-informed cell embeddings that sharpen our understanding of disease progression, leading to the identification of potential therapeutic drug candidates. Validation via proteomics reveals the accuracy of UNAGI’s cellular dynamics analyses, and the use of the Fibrotic Cocktail treated human Precision-cut Lung Slices confirms UNAGI’s predictions that Nifedipine, an antihypertensive drug, may have antifibrotic effects on human tissues. UNAGI's versatility extends to other diseases, including a COVID dataset, demonstrating adaptability and confirming its broader applicability in decoding complex cellular dynamics beyond IPF, amplifying its utility in the quest for therapeutic solutions across diverse pathological landscapes.
The HOXC10/NOD1/ERK axis is sufficient to induce osteolytic bone metastasis of pan-KRAS-mutant lung cancer
Authors: li lei , li kun , Ding Yi , Shen Shihui , Sun Zhengwang , Zheng Wei , Yan Wangjun 
Published: December 2023

Abstract

While KRAS mutation is the leading cause of low survival rates in lung cancer bone metastasis patients, effective treatments are still lacking. Here, we identified homeobox C10 (HOXC10) as a lynchpin in pan-KRAS-mutant lung cancer bone metastasis. Through RNA-seq approach and patient tissue studies, we demonstrated that HOXC10 expression was dramatically increased. Genetic depletion of HOXC10 preferentially impeded cell proliferation and migration in vitro. The bioluminescence imaging and micro-CT results demonstrated that inhibition of HOXC10 significantly reduced bone metastasis of KRAS-mutant lung cancer in vivo. Mechanistically, the transcription factor HOXC10 activated NOD1/ERK signaling pathway to reprogram epithelial-mesenchymal transition （EMT）and bone microenvironment by directly activating the NOD1 promoter. Strikingly, inhibition of HOXC10 in combination with STAT3 inhibitor was effective against KRAS-mutant lung cancer bone metastasis by triggering ferroptosis. Taken together, these findings reveal that HOXC10 effectively alleviates pan-KRAS-mutant lung cancer with bone metastasis in the NOD1/ERK axis-dependent manner, and support further development of an effective combinatorial strategy for this kind of disease.
Study of ionospheric scintillation according to the satellite elevation angle
Authors: Mene N. M. , Yao J. N. , Kamenan Koffi A. , Gnombléi J. L. 
Published: December 2023

Abstract
Today, by providing the possibility of mixing signals from different satellite constellations, Global Navigation Satellite Systems (GNSS) provide users with better availability of precise positioning. However, GNSS often undergo a rapid variation in amplitude and phase as they pass through the ionosphere, a region of the Earth's atmosphere where plasma “bubbles” are formed. This fluctuation of the signal, called ionospheric scintillation, sometimes severely limits the performance of GNSS. At GNSS station at Korhogo ( 9° 27′ 41″ North, 5° 38′ 19″ West), located in the equatorial region of west Africa, the dependence of the ionospheric scintillation on the elevation angle of the satellite was demonstrated for the magnetically calm days of 2017. As result, there is a decreasing of the occurrence and the intensity of the ionospheric scintillation when the elevation angle of satellite increases. Signals from satellites with elevation angles of 30° to 45°are impacted by medium level ionospheric scintillation effects (0.2 < S4 < 0.5). The signals of elevation angles between 45° and 90° are almost unaffected by the scintillation (S4 < 0.2).
Sparse autoencoder-based ensemble model for particulate matter estimation using outdoor images
Authors: Mohan Anju S , Abraham Lizy 
Published: December 2023

Abstract
Air pollution is a significant environmental threat faced by the world today. With each passing day, the air we breathe becomes increasingly contaminated, leading to severe health issues for individuals. Unfortunately, the existing air pollution monitoring stations are both expensive and insufficiently distributed. Consequently, the effectiveness of air pollution mitigation measures is hindered by inadequate data, underscoring the necessity for cost-effective alternatives. This paper introduces a sparse autoencoder-based ensemble model for estimating particulate matter concentrations using outdoor images. First, an L1 regularized sparse convolutional autoencoder compresses and extracts the pertinent features from images. Subsequently, these extracted image features are combined with weather and traffic data, followed by dimensionality reduction through principal component analysis. The final step involves a stacked ensemble of regression models to estimate PM2.5 concentrations. The ensemble incorporates support vector regression, k-nearest neighbor, and random forest regressor as base learners, with the light gradient boost machine acting as the meta-learner. An extensive dataset of 8488 single-scene outdoor images, named 'AirSetTvm,' has been meticulously collected and labeled with corresponding ground truth values derived from the continuous monitoring station. Encouraging results from this model, in comparison with other deep learning models in the existing literature, suggest that the proposed approach is a viable, cost-effective alternative for estimating PM2.5 concentrations.
Double-averaged velocity profile and its representative profile for turbulent flows over two-dimensional fixed dunes
Authors: Xu Puer , Cheng Nian-Sheng , Guo Dongxin 
Published: December 2023

Abstract
A laboratory study was conducted using Particle Image Velocimetry (PIV) to measure flow velocity distributions over two-dimensional smooth and rough fixed dunes. It comprised 28 tests, each yielding 146 velocity profiles over one complete dune length. Two kinds of double-averaged velocity profiles were computed, one based on all the 146 lines of data (called global average), and the others from only some of them (called partial average). The results show that the global average velocity distribution is generally close to the partial average profile derived from evenly-distributed three or five lines along one dune length. Furthermore, the global average velocity profile can also be reasonably approximated using a single profile, referred to as the representative velocity profile in this paper, thereby eliminating the need for double averaging. The representative velocity profile is found to locate near the reattachment point. This result would be helpful to simplify measurements of general velocity distribution for a flow over dunes. The paper also discusses the extension of representative profile to turbulence characteristics.
Quantifying the chemical activity of acoustic cavitation bubbles in a cluster
Authors: Fattahi Kobra , Boffito Daria C. , Robert Etienne 
Published: December 2023

Abstract
Acoustic cavitation bubbles drive chemical processes through their dynamic lifecycle in liquids. These bubbles are abundant within sonoreactors, where their behavior becomes complex within clusters. This study quantifies their chemical effects within well-defined clusters using a new laser-based method.
We focus a laser beam into water, inducing a breakdown that generates a single cavitation bubble. This bubble undergoes multiple collapses, releasing several shockwaves. These shockwaves propagate into the surrounding medium, leading to the formation of secondary bubbles near a reflector, separated from the input laser beam. We evaluate the chemical activity of these bubble clusters of various sizes by KI dosimetry, and to gain insights into their dynamics, we employ high-speed imaging.
Hydrophone measurements show that conversion from focused shockwave energy to chemical reactions increases to a maximum of 16.55 %. Additional increases in shockwave energy result in denser bubble clusters and a slightly decreased conversion rate, falling to 14.94 %, highlighting the key role of bubble dynamics in the transformation of mechanical to chemical energy and as a result in the efficiency of the sonoreactors.
The size and frequency of bubble collapses influence the cluster’s chemical reactivity. We introduce a correlation for predicting the conversion rate of cluster energy to chemical energy, based on the cluster's energy density. The maximum conversion rate occurs at a cluster energy density of 2500 J/L, linked to a cluster with an average bubble diameter of 91.42 μm, a bubble density of 3422 bubbles/ml, and a bubble-to-bubble distance ratio of 8.
Unexpected results for the non-trivial fusion of Majorana zero modes
in interacting quantum-dot arrays
Authors: pandey Bradraj , Okamoto Satoshi , Dagotto Elbio 
Published: December 2023

Abstract
Motivated by recent experimental reports of Majorana zero modes (MZMs) in quantum-dot systems at the “sweet spot,” where the electronic hopping th is equal to the superconducting coupling ∆, we study the time-dependent spectroscopy corresponding to the non-trivial fusion of MZMs. For the first time, we employ an experimentally accessible time-dependent real-space local density-of-states (LDOS) method to investigate the non-trivial MZMs fusion outcomes in canonical chains and in a Y-shape array of interacting electrons. In the case of quantum-dot chains where two pairs of MZMs are initially disconnected, after fusion we find equal-height peaks in the electron and hole components of the LDOS, signaling non-trivial fusion into both the vacuum I and fermion Ψ channels with equal weight. For π-junction quantum-dot chains, after the non-trivial fusion, surprisingly we observed the formation of an exotic two-site MZM near the center of the chain, coexisting with another single-site MZM. Furthermore, we also studied the fusion of three MZMs in the Y-shape geometry. In this case, after the fusion we observed the novel formation of another exotic multi-site MZM, with properties depending on the connection and geometry of the central region of the Y-shape quantum-dot array.