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429 results for “December”
PERTEMUAN 14_O5 DECEMBER 2023_PRETEST PENGGABUNGAN USAHA_AKUNTANSI KEUANGAN LANJUTAN 1
<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p><p>Mahasiswa diharapkan memahami Penggabungan usaha adalah proses di mana dua atau lebih perusahaan bergabung untuk membentuk satu entitas hukum yang baru atau satu perusahaan mengakuisisi yang lain. Penggabungan usaha dapat memiliki berbagai manfaat dan keuntungan, yang menjadikannya suatu strategi penting dalam dunia bisnis. Berikut adalah beberapa alasan mengapa penggabungan usaha dianggap penting:</p><p><strong>Ekonomi Skala:</strong></p><ul><li>Penggabungan usaha dapat menghasilkan ekonomi skala, di mana biaya per unit produksi atau pelayanan dapat dikurangi karena volume yang lebih besar. Hal ini dapat meningkatkan efisiensi operasional dan menghasilkan laba yang lebih besar.</li></ul><p><strong>Penetrasi Pasar:</strong></p><ul><li>Dengan bergabung dengan perusahaan lain, perusahaan dapat memperluas pangsa pasar dan mencapai lebih banyak pelanggan. Ini dapat membantu dalam meningkatkan kehadiran merek dan memperluas distribusi produk atau layanan.</li></ul><p><strong>Inovasi dan Penelitian:</strong></p><ul><li>Melalui penggabungan usaha, perusahaan dapat menggabungkan keahlian dan penelitian dari kedua pihak. Hal ini dapat mempercepat proses inovasi dan pengembangan produk baru, memberikan keunggulan kompetitif.</li></ul><p><strong>Diversifikasi:</strong></p><ul><li>Penggabungan usaha memungkinkan diversifikasi portofolio produk atau layanan perusahaan. Diversifikasi dapat membantu mengurangi risiko terkait dengan ketergantungan pada satu pasar atau produk tertentu.</li></ul><p><strong>Efisiensi Operasional:</strong></p><ul><li>Kombinasi sumber daya dan keahlian dari perusahaan yang bergabung dapat meningkatkan efisiensi operasional, menghasilkan biaya produksi yang lebih rendah, dan meningkatkan marjin keuntungan.</li></ul><p><strong>Akses ke Sumber Daya Finansial:</strong></p><ul><li>Penggabungan usaha dapat memberikan akses tambahan ke sumber daya finansial. Ini dapat membantu perusahaan untuk mendanai ekspansi, investasi, atau proyek-proyek besar lainnya.</li></ul><p><strong>Kemampuan Negosiasi Lebih Baik:</strong></p><ul><li>Dengan menjadi entitas yang lebih besar, perusahaan dapat memiliki posisi tawar yang lebih baik dalam negosiasi dengan pemasok, pelanggan, dan mitra bisnis lainnya.</li></ul><p><strong>Menghadapi Tantangan Industri:</strong></p><ul><li>Dalam beberapa kasus, penggabungan usaha dapat menjadi respons terhadap perubahan dalam industri atau tantangan tertentu. Ini dapat membantu perusahaan untuk lebih baik bersaing dan bertahan dalam lingkungan bisnis yang dinamis.</li></ul><p>Penting untuk dicatat bahwa sementara penggabungan usaha memiliki potensi manfaat besar, juga terdapat risiko dan tantangan yang harus dikelola dengan baik, termasuk integrasi budaya perusahaan, harmonisasi operasional, dan manajemen perubahan. Oleh karena itu, perencanaan dan pelaksanaan penggabungan usaha harus dipertimbangkan secara cermat untuk memastikan keberhasilannya.</p><p> </p><p> </p><p> </p>
Whareongaonga Landslide 21st December 2021
In the week before Christmas, the GNS Engineering Geology team travelled to Gisborne to survey the large landslide at Whareongaonga, south of Gisborne, that was triggered by heavy rain in November. The landslide and others adjacent to it undermined the already damaged Wairoa to Gisborne rail line and buried several wahi tapu sites including a historic Ngāi Tāmanuhiri pā site, Māra kai (food gardens) and taunga ika (fishing grounds). The team used our new LiDAR (Light Detection and Ranging) drone (UAV) to capture high resolution topographic data of the landslides. LiDAR is a remote sensing method that uses light in the form of a pulsed laser to measure distances to the Earth surface, and enables us to build a high resolution (1 m) 3D model of the ground surface. The data will be used to determine the volume of the landslide – both the material evacuated from the source area, and deposited downslope and in the sea, and to interpret the processes involved in the landslide initiation and movement. Source: Objaverse 1.0 / Sketchfab
Relocated Earthquake Catalog for Sumatra-Indonesia (April 2009 to December 2022)
<p>Relocated Earthquake Catalog for Sumatra (April 2009 to December 2022). </p> <p>Please refer to:</p> <p>Widiyantoro, S., Supendi, P., Rawlinson, N. et al. A note on the seismicity of Sumatra, western Sunda Arc, Indonesia, in relation to the potential for back-arc thrusting. Sci Rep 14, 13115 (2024). https://doi.org/10.1038/s41598-024-64076-7</p>
Rates of Vertical Land Motion (VLM) on Tutuila (American Samoa) and Upolu (Samoa) (from 3 December 2015 to 16 April 2020 and from 28 April 2020 to 27 November 2023)
<p>Dataset associated with the resubmitted manuscript under revision "Spatiotemporal Patterns of Subsidence and Sea Level Rise in the Samoan Islands Nearly 15 Years after the 2009 Samoa-Tonga Earthquake" by S. A. Huang, J. M. Sauber, S.-C. Han, R. Ray, and E. J. Fielding.</p> <p>Average VLM rates are provided for Tutuila (American Samoa) and Upolu (Samoa) over two subsets:</p> <ol> <li>3 December 2015 to 16 April 2020</li> <li>28 April 2020 to 27 November 2023</li> </ol> <p>VLM rates were derived using the PS-InSAR technique described in the publication at https://doi.org/10.1109/LGRS.2024.3358737. </p> <p>The following files are included here:</p> <ul> <li>plot_ps_data_tutuila_upolu.m: Matlab script to visualize the data included in all the *.mat files (Figures 4 and 5 and the histograms in 8c and 9c without annotations). Requires Computer Vision Toolbox.</li> </ul> <p>Upolu:</p> <ul> <li>upolu_ampl.mat: Amplitude backscatter from Upolu averaged from all scenes, multilooked for speckle reduction and resampled to the dataset size. Normalized to 1.</li> <li>latvals.mat: Latitude vector associated with both Upolu datasets.</li> <li>lonvals.mat: Longitude vector associated with both Upolu datasets.</li> <li>upolu_15-20_vlm.mat: Computed VLM rates across Upolu for the 2015-2020 time period [mm/yr]. All non-PS have an "NaN" value.</li> <li>upolu_15-20_vlm_uncert.mat: Uncertainty of VLM across Upolu for the 2015-2020 time period [mm/yr]. All non-PS have an "NaN" value.</li> <li>upolu_20-23_vlm.mat: Computed VLM rates across Upolu for the 2020-2023 time period [mm/yr]. All non-PS have an "NaN" value.</li> <li>upolu_20-23_vlm_uncert.mat: Uncertainty of VLM across Upolu for the 2020-2023 time period [mm/yr]. All non-PS have an "NaN" value.</li> </ul> <p>Tutuila: </p> <ul> <li>tutuila_ampl.mat: Amplitude backscatter from Tutuila averaged from all scenes, multilooked for speckle reduction and resampled to the dataset size. Normalized to 1.</li> <li>tutuila_latvals.mat: Latitude vector associated with both Tutuila datasets.</li> <li>tutuila_lonvals.mat: Longitude vector associated with both Tutuila datasets.</li> <li>tutuila_15-20_vlm.mat: Computed VLM rates across Tutuila Island for the 2015-2020 time period [mm/yr]. All non-PS have an "NaN" value.</li> <li>tutuila_15-20_vlm_uncert.mat: Uncertainty of VLM across Tutuila Island for the 2015-2020 time period[mm/yr]. All non-PS have an "NaN" value.</li> <li>tutuila_20-23_vlm.mat: Computed VLM rates across Tutuila Island for the 2020-2023 time period [mm/yr]. All non-PS have an "NaN" value.</li> <li>tutuila_20-23_vlm_uncert.mat: Uncertainty of VLM across Tutuila Island for the 2020-2023 time period[mm/yr]. All non-PS have an "NaN" value.</li> </ul>
Magnetic bead epicPCR sequencing data, December 3 2021
<p>Samples:</p> <p>1. Chilomonas, 16S</p> <p>2. Rhodomonas, 16S</p> <p>3. Chilomonas+Rhodomonas, 16S</p> <p>4. Chilomonas+Rhodomonas+wastewater, 16S</p> <p>5. Wastewater, 16S</p> <p>6. Chilomonas, 18S</p> <p>7. Rhodomonas, 18S</p> <p>8. Chilomonas+Rhodomonas, 18S</p> <p>9. Chilomonas+Rhodomonas+wastewater, 18S</p> <p>10. Wastewater, 18S</p>
FIGURE 2. December 1971 in Dr Claude Massin (25/08/1948-04/09/2021), in Memoriam
FIGURE 2. December 1971. Break during the parasitology course of Prof. Raymond Van Breusseghem (ULB); Claude Massin in the front of the picture, with book (courtesy of Dr George Lenglet).
December 2021 Eclipse Data gathering 5 MHz at EN82mj by KD8RV
<p>Dataset of wav files of WWV at 5 MHz during the December 2021 Eclipse festival.</p> <p>Receiver location EN82mj (Grosse Pointe Park MI).</p> <p>Rx: SDRPlay RSPdx utilizing the SDRUno software. Antenna: 80 meter full wave delta loop.</p> <p>Other relevant details regarding the data gathering procedure listed in txt and jpg files within the zip package.</p> <p>Amateur callsign KD8RV. </p> <p>email: gurbiel@wayne.edu or kd8rv@arrl.net</p>
Figure 12. Two adults feeding a nestling with dragonflies, 8 December 2003 in Breeding behavior, distribution, and conservation of the Sharp-tailed Tyrant Culicivora caudacuta (Vieillot, 1818) (Aves: Tyrannidae), a South American grassland specialist
Figure 12. Two adults feeding a nestling with dragonflies, 8 December 2003. Photo: RSS.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: IDENTITY, days: 1, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: IDENTITY, days: 7, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: IDENTITY, days: 7, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: TTLBOUNDED, days: 1, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: TTLBOUNDED, days: 1, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: TTLBOUNDED, days: 7, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: TTLBOUNDED, days: 7, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: root, weighting: IDENTITY, days: 1, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: root, weighting: IDENTITY, days: 1, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: root, weighting: TTLBOUNDED, days: 1, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: root, weighting: IDENTITY, days: 7, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: web, weighting: IDENTITY, days: 1, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.