bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENINGKATAN PRODUKTIVITAS DAN SISTEM INFORMASI KELOMPOK USAHA KERIPIK TEMPE DI KEL. PAYO LEBAR KEC. JELUTUNG - KOTA JAMBI
Authors: Hilda Porawati  , Ari Kurniawan  , Heriyani  , Ahmad Imam Rifa'i  , Riandi  , Kurniawan  , Tuty Ulina Malau  , Desi Ramadhani  
Published: May 2023

Usaha kripik tempe di Kelurahan Payo lebar Kota Jambi belum berkembang dengan baik, aspek aspek yang mempengaruhi perkembangan usaha tersebut adalah : aspek produksi/pengolahan, manajemen usaha serta distribusi pemasaran. Permasalahan aspek produksi berkaitan dengan lama waktu pengirisan tempe, pengirisan tempe masih menggunakan pisau secara manual, sedangkan aspek manajemen Usaha berkaitan dengan pengolahan usaha belum adanya pembagian tugas, selanjutnya permasalah distribusi adalah keripik tempe yang sudah ditrisbusikan ke penjual tidak diketahui jumlah ini akan mempengaruhi dalam produksi selanjutnya. Solusi yang ditawarkan dalam kegiatan ini berupa bantuan alat dan pelatihan usaha pemasaran untuk mengembangkan usaha keripik tempe yang telah dimiliki oleh kelompok UMKM tersebut. Kegiatan yang telah dilakukan berupa: pembuatan mesin pengiris tempe, pembuatan sistem informasi distribusi keripik tempe serta pelatihan pemasaran menggunakan pemasaran dalam jaringan (daring). Dalam hal ini akan dilatih penjualan menggunakan program aplikasi beserta pemdampingan. Sehingga mitra dapat melaksanakan penjulan produk keripik tempe dengan lebih luas daerah pemasarannya, pelatihan manajemen keuangan dan strategi usaha.
Decreasing Asphaltene Precipitation and Deposition during Immiscible Gas Injection Via the Introduction of a CO2-Soluble Asphaltene Inhibitor
Authors: Gandomkar Asghar , Torabi Farshid , Nasriani Hamid Reza , Enick Robert M. 
Published: May 2023

Summary
In this study, the ability of dilute concentrations of toluene to act as a CO2-soluble asphaltene stabilization agent capable of inhibiting asphaltene precipitation during immiscible CO2 injection was assessed. Phase behavior results indicated that 1,000 to 20,000 ppm toluene could readily dissolve in CO2 at cloudpoint pressures that are well below the formation pressure and typical CO2 minimum miscibility pressure (MMP) values during gas-based enhanced oil recovery (EOR). Single-phase solutions of the modified gas (CO2/toluene) were then combined with asphaltenic oils in oil swelling phase behavior tests to demonstrate that the presence of toluene increased the amount of CO2 that dissolved into reservoir crude oil at a specified temperature and pressure. However, asphaltene precipitation diminished, apparently because the effect of the increased asphaltene solvent strength of toluene was more significant than the increased amount of CO2 (an asphaltene antisolvent) that entered the oil-rich phase. During the injection of CO2/toluene solution into cores initially saturated with crude oil and brine, compared to the injection of pure CO2, asphaltene deposition declined during the injection of CO2/toluene mixtures for asphaltenic volatile and intermediate oils from 3.7 wt% to 0.7 wt% and 5.9 wt% to 1.7 wt%, respectively. Based on the asphaltene particle-size analysis, the CO2/toluene mixtures can stabilize oil particles and simultaneously reduce asphaltene aggregation more effectively than pure CO2.
Sentiment-aware Sampling for Large-scale Geo-tagged Social Media Data Abstraction
Authors: Liu Yuhua , Zhang Xinlong , Yang Zhendong , Ye Fenghua , Chen Hangyue , Zhang Zhouyang , Chen Wenqiang , Wei Qian 
Published: May 2023

Abstract
With the increasing size of social media datasets, it has become a difficult task to explore significant features such as sentiments
from traditional geographical visualizations, because the visual elements of data items always overlap heavily with each other. A
large number of sampling methods have been proposed to reduce the visual clutter and simplify the geographical visualizations.
However, the sentiment features are ignored in the course of sampling which make it easily to misunderstand the sentiments
across local areas. In this paper, we propose a visual abstraction framework for the simplification and exploration of large-scale
geo-tagged social media data, aiming to preserve both the sentiment features and spatial distribution with the sampled social
media data items. Firstly, an agglomerative hierarchical clustering method is proposed to classify social media data into
hierarchical categories based on geographical locations and sentiment attributes. Then, a multi-scale rapid sampling model is
designed to select data items from categories to guarantee sentiment distribution of the local and global areas in the hierarchy.
A rich set of visual interfaces are designed including sentiment tree, heatmap, and ranking view, enabling users to explore and
evaluate the simplified geographical visualizations. We also provide several user-friendly interactions such as the sentiment
wheel for users to conduct deeply geospatial sentiment analysis of large-scale geo-tagged social media data. Case studies
based on real-world datasets and interviews with the domain experts have demonstrated the effectiveness and practicability of
our system in simplifying and exploring large-scale geo-tagged social media data.
SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology
Authors: Tang Jiliang , Ding Jiayuan , Venegas Julian , Lu Qiaolin , Wang Yixin , Wu Lidan , Jin Wei , Wen Hongzhi , Liu Renming , Tang Wenzhuo , Li Zhaoheng , Zuo Wangyang , Chang Yi , Lei Yu , Danaher Patrick , Xie Yuying 
Published: May 2023

Abstract
Recent technological advancements have enabled spatially resolved transcriptomic profiling but at multi-cellular resolution. The task of cell type deconvolution has been introduced to disentangle discrete cell types from such multi-cellular spots. However, existing datasets for cell type deconvolution are limited in scale, predominantly encompassing data on mice, and are not designed for human immuno-oncology. In order to overcome these limitations and promote the comprehensive investigation of cell type deconvolution for human immuno-oncology, we introduce a large-scale spatial transcriptomic dataset named SpatialCTD, encompassing 1.8 million cells from the human tumor microenvironment across the lung, kidney, and liver. Distinct from existing approaches that primarily depend on single-cell RNA sequencing data as a reference without incorporating spatial information, we introduce Graph Neural Network-based method (i.e., GNNDeconvolver) that effectively utilizes the spatial information from reference samples, and extensive experiments show that GNNDeconvolver often outperforms existing state-of-the-art methods by a substantial margin, without requiring single-cell RNA-seq data. To enable comprehensive evaluations on spatial transcriptomics data from flexible protocols, we provide an online tool capable of converting spatial transcriptomic data from various platforms (e.g., 10x Visium, MERFISH, and sci-Space) into pseudo spots, featuring adjustable spot size. The SpatialCTD dataset and GNNDeconvolver implementation are available at https://github.com/OmicsML/SpatialCTD, and the online converter tool can be accessed at https://omicsml.github.io/SpatialCTD/.
Bearing Fault Diagnosis based on the Local Maximum Peak of Cepstrum
Authors: Wang Jian , Wang Wei , Sun Yongjian , Lu Shizeng 
Published: May 2023

Abstract
In this paper, a bearing fault diagnosis method based on local maximum peaks of cepstrum is proposed. At first, the cepstrum of original signal is calculated. An index named local maximum peak is proposed to extract fault features. Then the binary tree classification method is adopted to complete the feature classification process by setting multiple thresholds or blind areas. The method based on the local maximum peak and its distribution domain is used to determine the threshold. After feature classification, each condition is limited by several limited conditions to complete fault diagnosis. In order to verify the accuracy of the proposed method, test data from practical bearing fault experiments are used in simulation experiments. The results show that the accuracy of the proposed method reached 98.44% and the running time was only 2.1810s, which proved the accuracy and effectiveness. The method has higher accuracy and less running time compared with original cepstrum and other spectral analysis techniques. This approach provides a new idea for fault diagnosis of rolling bearing under condition of constant speed.
Typification of coastal depositional lithofacies with isophysical and isochemical hydro-sand beds via Stratigraphic Modified Lorenz Plots (SMLP): geohydrodynamical implications and valorization of hydrogeological units
Authors: George Nyakno , Thomas Jewel 
Published: May 2023

Abstract

Using an integrated method, four distinct hydraulic flow units (HFUs) were produced from the hydrogeological layers of Ikot Abasi in southern Nigeria. The SMLP, which produced results comparable to those of the discrete rock typing (DRT) technique deploying flow zone indicator (FZI), was used to define and classify the geologic unit (GU) of the aquifer into sections denoted by isophysical and isochemical hydro-sand beds as well as sections with similar hydrodynamic characteristics. The results of an electrical resistivity investigation led to the discovery of three to four economically viable geo-electric strata for groundwater. The goal of this study is to economically valorize the HFUs within the GU for efficient groundwater management. Economic aquifer sand beds in layer two were identified and their resistivity ranged from 26.3-3576.5 Ωm with an average of 764.3 Ωm and thickness ranged from 2.9-262.6 m with a mean value of 61.7 m. Similarly, the estimated ranges of resistivity values and values of thickness of the economic aquifer sand beds in layer three were 58.0-3588.8 Ωm (mean: 840.5 Ωm) and 26.7-212.1 m (mean: 80.0 m), respectively. The result from DRT gave four HFUs, which conformed to the result of SMLP. The four HFUs christened as HFU1-HFU4 are identified by tanθ/slope with each corresponding to 2.083, 1.136, 0.483, and 3.101 respectively. The corresponding value for angle θ in degrees were estimated at 64(superconductor), 47 (conductor), 26 (semi-conductor) and 72 (superconductor) respectively. According to values of ranking efficiency, the delineated HFUs can be classified respectively as good, fair, poor and good. The aquifer system identified to be perfectly heterogeneous, has good hydrodynamic prospect, which is paramount in groundwater flow management and contamination monitoring.
The effect of global and regional solar shading onclimate: A simulation study
Authors: Agyemang-Oko Ernest , Yang Hu , Shi Xiaoxu , Lohmann Gerrit 
Published: May 2023

Abstract
The potential climate impact of solar geoengineering is examined using climate model simulations by artificially reducing the incoming solar radiation at the top of the atmosphere. Climate scenario simulations indicate that a doubling of atmospheric carbon dioxide (2xCO2) induces a surface temperature rise which is amplified over the poles primarily during the respective winter. The warming also causes intensification and poleward shift of the global precipitation pattern. In our model, a 2.1% globally uniform solar reduction can largely compensate the global mean warming caused by a doubling of CO2. We find that solar shading is efficient to restore the temperature at the region where the background sunshine is strong, regionally at low-latitudes, seasonally during summer. Solar shading would lead to an overall weakening of the global hydrological cycle, resulting in a large-scale drought. A 3.6% solar reduction in the tropics can largely reduce the tropical and global warming as well. However, it reduces the precipitation at the central tropics, while increase the precipitation over the monsoon region. Comparatively, a 14% solar reduction over the poles can effectively prevent the polar summer temperature increase and sea-ice retreat. However, caused by the increased temperature gradient, polar solar shading increases the storm activity at high-latitudes, especially during summer when the solar reduction reaches its maximum amplitude. Our simulations show that solar shading could be an effective way to stabilize the polar cryosphere. Nevertheless, it has a strong impact on the hydrological cycle and provides a heterogenous regional climate signal.
Parallel processing of head and whisker motion in two thalamic nuclei
Authors: Ahissar Ehud 
Published: May 2023

Abstract
Rodents move their heads and whiskers continuously, in a coordinated manner, while perceiving objects in their vicinity via whisker-touch. Studies of head-fixed rodents revealed ventroposterior medial (VPM) and posterior medial (POm) thalamic nuclei coding of whisker kinematics1-6, with POm involvement significantly reduced in awake compared to anesthetized animals. In order to examine the involvement of VPM and POm neurons in coding both head and whisker kinematics in head-free conditions, we recorded single-unit activity extracellularly from groups of thalamic neurons along with video tracking of head and whiskers motion in mice freely exploring an open arena. We applied optogenetic tagging to distinguish between neuronal units affiliated with the lemniscal (VPM) or paralemniscal (POm) pathway. Strikingly, in freely moving mice the POm and VPM were involved in whisker kinematic coding to the same degree. In addition, neurons in both thalamic nuclei also robustly coded head kinematics – azimuth, azimuthal velocity and linear speed. The fraction of neurons coding for head kinematics increased in both nuclei after whisker trimming, ruling out whisker-mediated coding of head kinematics. During free exploration, the activity of most thalamic neurons lagged changes in head kinematics, as expected from neurons in a sensory pathway. However, optogenetic activation of thalamic neurons evoked overt changes in head kinematics and increased the fraction of thalamic neurons that were leading changes in head kinematics. Collectively, our data suggest that the VPM and POm both process combined head and whisker information – an integration that is consistent with the tight head and whisker coordination seen during active perception – and participate in the control of head motion.
Exploring the spatially and temporally varying impacts of built environment factors on rail transit ridership: A case study in Nanjing, China
Authors: Wang Chunxin , Hu Mingxing , Qi Junheng , Li Jianyu , Zhang Xinyu , Hu Zihong 
Published: May 2023

Abstract
Abstract: Investigating the impact of the built environment around rail stations on ridership as well as assessing the spatial and temporal variation of that impact is helpful to improving the operational efficiency of urban public transport and guiding station planning and development. Based on 14 days of smart card data in Nanjing, 159 metro stations were taken into consideration in this paper to explain the changing patterns among weekday and weekend ridership. Three types of characteristics were selected as explanatory variables, namely built environment variables, socioeconomic variables and transit service variables. For models, we applied geographically and temporally weighted regression (GTWR) to analyse how the built environment affects ridership from spatial and temporal perspectives and compared its fitting degree in ordinary least squares (OLS) and geographically weighted regression (GWR) models. The results reveal that GTWR performs well in the fitting results and is thus suitable for exploring the association between rail transit ridership and the built environment. In addition, the coefficient of the explanatory variables is influenced by both temporal and spatial factors, with critical importance in the temporal dimension of the analysis of passenger flow. Furthermore, while following the same trend, the impact coefficient, which is mainly affected by commuter traffic, shows stronger temporal heterogeneity during weekdays than weekends. Considering the characteristics of residents' travel activities, the internal relationship between urban space and traffic operation is explored to provide theoretical guidance and suggestions for improving the efficiency of public transport operation and optimizing the layout of urban space.
Immune characteristics associated with lymph node metastasis in early-stage NSCLC
Authors: Zhang Ziyu , Li Li , Gao Yang , Xiao Xiaoxiong , Ji Liyan , Zhou Zhipeng , Jiang Juan , Liu Shiqing , An Jian , Deng Pengbo , Du NanNan , Li Pansong , Zhang Chunliu , Xia Xuefeng , Hu Chengping , Li Min 
Published: May 2023

Abstract

Tumor metastasis is one of the important reasons for the poor prognosis of non-small cell lung cancer (NSCLC) patients, in which lymph node (LN) metastasis is the earliest and most frequent metastasis. With the development of adjuvant immunotherapy, increasing attention has been paid to the tumor-draining lymph nodes（TDLN）in early-stage NSCLC, especially tumor-metastatic lymph nodes, which provides poor prognostic information but has potential benefits in adjuvant treatment. Here, we showed the remodeled immune environment in TDLNs through using TCR-seq and multi-IHC to analyze primary lung cancer tissues and LNs from NSCLC patients with or without LN metastasis. Considering the complex communication between tumor and immunocytes, we subdivided TDLNs and found that metastasis-negative LNs from LN-metastatic patients (MNLN) exhibit more immune activation, exhaustion, and memory compared with both metastasis-positive LNs (MPLN) and TDLNs from non-LN-metastatic patients (NMLN). LN metastasis promotes tumor-specific antigen presentation in TDLNs and induces T cell priming, while existing tumor cells generate an immune-suppressive environment in MPLNs through multiple ways. The evidence implicates the comprehensive immunological mechanism by which LN metastasis influences tumor progression and plays a role in immunotherapy in NSCLC patients.
Verständigung ermöglichen – Eigenständigkeit anregen. Zur Bildungsrelevanz von Online-Lehre in inklusiven Settings
Authors: Redecker Anke 
Published: May 2023

Angesichts vielfältiger Kritik am Distanzlernen während der Corona Pandemie, durch das sich viele SchülerInnen allein gelassen fühlten, wird im Beitrag für eine diskursive Bildung plädiert, durch die Lernende mit diversen Voraussetzungen und Bedürfnissen nicht nur von Lehrenden, sondern auch mit- und voneinander lernen können, was einen entscheidenden Beitrag zur Bildungsgerechtigkeit bietet. In der Kritik steht hingegen ein einsames Ableisten von Drill-and-Practice Programmen, das sich auf fremdinitiierte Zumutungen der Selbststeuerung, extrinsische Motivation und vorgezeichnete Lernwege konzentriert und damit wenig Raum für eigensinnige und kreative Erprobungen lässt. Im Ausgang von ihren – auch besonderen – Bedürfnisse, Voraussetzungen und Perspektiven bilden sich Menschen, indem sie angeregt, irritiert und ermutigt werden, sich zu ihren Lerngegenständen und -prozessen ins Verhältnis zu setzen. In digitalen Kontexten bieten hier Videokonferenzen einen tragfähigen Ansatz, sowohl präsenzanalog als auch durch technische Bereicherungen inklusive Bildungsprozesse kokreativ zu gestalten, wobei regelmäßige Videokonferenzen nicht nur Struktur und rituellen Halt bieten, sondern auch vielfältige Möglichketen der Interaktion. Zugleich sind Lernende durch die Bildungsaufgabe herausgefordert, mit digitalen Chancen und Risiken zwischen Ermächtigung und Bemächtigtwerden, eigenständiger Kommunikationsgestaltung und datafizierter Kontrolle, bereichernden Überraschungen und bedrängenden Unwägbarkeiten zurecht zu kommen.

AbstractConsidering the manifold critique of distance learning during the Corona pandemic, where many students felt left alone, the text advocates a discoursive education, that enables learners with diverse preconditions and needs to learn not only from teachers, but also with and from each other, which offers a significant contribution to educational justice. Criticized is on the contrary a lonely fulfilling of drill and practice programs which concentrates on externally initiated impositions of self-guidance, extrinsic motivation and predefined learning paths and therefore leaves only little room for self-willed and creative trials. Proceeding from their – even special – needs, preconditions and perspectives, human beings educate themselves being inspired and encouraged to put themselves into relationship to their learning topics and processes. Here video conferences offer a sustainable approach to shape inclusive education processes cocretively in presence analogy and with technical facilities. They enable not only structure and ritual support, but also manifold possibilities of interaction. At the same time learners are challenged by the education task to cope with digital chances and risks between authorization and being dominated, autonomous communicating and dataficated control, enriching surprises and troubling uncertainties.
An improved technique for reducing water wastage from micro-RO-membrane-based water purification systems: An experimental study
Authors: Varma Ravi Kiran , Chatterjee Jaideep 
Published: May 2023

Abstract

While reverse osmosis (RO) has emerged as the leading technology for home-use and point-of-use (POU) water purification, this technology leads to water wastage as the reject. This wastage needs to be reduced, especially in water-stressed regions of the world. In this paper, we report an experimental study, which demonstrates that it is possible to operate a home-use RO-based water purification system, at ∼75% recovery, without significantly compromising the life of the membrane. The membrane element is ‘cleaned’ using a hydrostatic and osmotically driven backwash using the permeate produced in the system. This study examines the effect of the permeate volume used for the backwash, on the extent of salt removal from the membrane module. During this study, which involved the measurement of the total dissolved solids (TDS) of the backwash-effluent, it was observed that the backwash-effluent showed dual-minima in the effluent TDS. This paper further examines this dual-minima observed under different experimental conditions. Data generated suggest the causes for the dual-minima.