bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pelatihan pemasaran digital melalui marketplace bagi ibu rumah tangga
Authors: Hidayati Ulfah , Aw Suranto , Wisataone Voettie , Fathinah Nadalia Silmi , Fathinah Permata Dian 
Published: May 2022

<p>Adanya Pandemi Covid-19 berdampak pada usaha mikro yang dilakukan oleh ibu rumah tangga yang tergabung dalam PKK Kelurahan Imogiri, Bantul, Yogyakarta. <em>Social distancing</em> yang diterapkan pemerintah menyebabkan penjualan mereka menurun. Diperlukan skill baru dalam adaptasi teknologi untuk tetap bertahan di era pandemi, yaitu melalui pemasaran digital. <em>Marketplace </em>adalah salah satu langkah untuk berjualan online dengan aman, mudah, dan mampu menjangkau banyak target customer.</p><p>Tujuan kegiatan pemasaran masyarakat ini untuk meningkatkan skill ibu rumah tangga dalam berjualan online melalui <em>marketplac</em>e. Metode pelaksanaan kegiatan pengabdian ini yaitu, pelatihan secara luring dengan mematuhi protocol kesehatan dan pendampingan secara daring melalui grup <em>whatsapp</em>. Kegiatan tersebut dimulai dari membuat foto produk, membuat akun, hingga memasarkannya melalui <em>marketplace.</em></p><p>Hasil yang dicapai dari kegiatan pengabdian ini adalah kegiatan pelatihan sangat relevan dengan kebutuhan khalayak sasaran, serta dapat dirasakan manfaatnya. Berdasarkan evaluasi kegiatan diperoleh masukan agar kegiatan pengabdian seperti ini dilaksanakan secara berkelanjutan dengan mengangkat tema lain yang relevan dengan kebutuhan khalayak.</p><p> <em></em></p>
Arabic-Indonesian Dictionary: Comparison of Digital Dictionary and Printed Dictionary
Authors: Rizqia Asa Qubaila Sitta Zidna , Maylana Aninda Nisa , Luthfi Khabibi Muhammad 
Published: May 2022

The Arabic-Indonesian Digital Dictionary (KDAI, lit Kamus Digital Arab Indonesia) available in the play store and the Printed Arabic-Indonesian Dictionary (KCAI, lit Kamus Cetak Arab Indonesia) by Muhammad Yunus are two dictionaries that provide two languages ​​with different publications. Digital and printed dictionaries and the comparison of the two dictionaries based on the ideal dictionary even though the number of enthusiasts is other. This study uses a descriptive qualitative approach with the method of literature. The digital dictionary is the most in-demand one, with 1,000,000 downloads. In contrast, the print dictionary by Muhammad Yunus is inversely proportional to the fact that few users know this printed dictionary. The results of this study are from the type of KDAI and KCAI; there are similarities in nuqṭat al-iṭlāq and ‘adad al-lughāt. In terms of meaning, KDAI includes a language dictionary, and KCAI consists of a translation dictionary. The lemma part of the second dictionary has a different number of lemmas, and also, in the explanation of each entry, there are differences. KDAI uses a collocation system, while KCAI uses a definition system. Based on compiling KDAI using software entry, KCAI uses arrangements based on pronunciation.
The Effect of Thawing Duration on the Post Thawing Quality of Bali Cattle’s Frozen Semen and Conseption Rate in Smallholder Farms of East Lombok Regency
Authors: Firhamsah Ikhwan , Bintara Sigit , Widayati Diah Tri 
Published: May 2022

This research aimed to identify the effect of the length of thawing time on the quality of Bali cattle postthaw semen and to investigate the resulting pregnancy rate. This research was conducted at Wanasaba Village, specifically Tanaq Mira Village, Wanasaba District, East Lombok Regency. Five samples of Bali cattle semen were collected for insemination from each of three different farmer groups. The semen sample from the remaining frozen semen inseminated by the inseminator was used in this research. Tanaq Mira Village's inseminator performed thawing during the trip from the artificial insemination (AI) station to the farmer group's location. This research observed the microscopic quality of the postthaw frozen semen covering motility, viability, and abnormality. Moreover, the pregnancy rate on AI acceptors using the non return rate (NRR) parameter or the number of female parents who returned to estrus after being inseminated were observed. The observation was conducted on three farmer groups with different distances and lengths of thawing time. Each farmer group was observed five times. The collected data were then analysed by using one-way analysis of variance(ANOVA). The research indicated that the distance of the farmer group’s location significantly affected (P<0,01) the sperm motility and viability. However, it did not significantly affect (P>0,05) the sperm abnormalities. The Sapeng farmer group had the highest NRR, as much as 80%. According to the NRR score, it can be concluded that the thawing process using the thermos within less than 10 minutes resulted in the best yield.
Analisis Pengaruh Spin-Off Bagi Unit Usaha Syariah di Indonesia
Authors: Rambe Laila Afni , Jamaluddin Ishaq Mohammad Saddam , Khasanah Uswatun 
Published: May 2022

Abstract Undang-Undang Nomor 21 Tahun 2008 Tentang Perbankan Syariah mandates that every Sharia Business Unit (UUS) which becomes a sharia unit in a Conventional Commercial Bank (BUK) separates itself (spin-off). The spin-off time is no later than 15 (fifteen) years since the law is enacted, namely in 2023. If the spin-off order is not carried out by each UUS, then Bank Indonesia as the central bank will impose sanctions in the form of revocation of operating licenses. However, the problem that arises is that in facing the spin-off period, many UUS are overwhelmed in preparing capital so that they have not been able to stand on their own after separating. The purpose of this paper is to find out the impact of the spin-off on UUS by analyzing the solutions that can be offered. The results of the study indicate that it is necessary to review Undang-Undang Nomor 21 Tahun 2008 Tentang Perbankan Syariah by considering the financial condition of UUS. In addition, UUS that has carried out a spin-off by becoming a new BUS can optimize the utilization of Third Party Funds in the form of financing and other services. In order to encourage the growth of BUS, support from the government is needed, such as the provision of tax incentives and simplification of regulations on equity participation. In addition, the new BUS needs to carry out various innovations by adding financing products and developing existing products. Abstrak Undang-Undang Nomor 21 Tahun 2008 Tentang Perbankan Syariah mengamanahkan bahwa setiap Unit Usaha Syariah (UUS) yang menjadi unit syariah pada Bank Umum Konvensional (BUK) memisahkan diri (spin-off). Waktu spin-off paling lambat 15 (lima belas) tahun sejak undang-undang tersebut diberlakukan yakni pada tahun 2023. Apabila perintah spin-off tidak dilaksanakan oleh setiap UUS maka Bank Indonesia sebagai bank sentral akan memberikan sanksi berupa pencabutan izin operasional. Namun permasalahan yang muncul adalah dalam menghadapi masa spin-off tidak sedikit UUS kewalahan dalam mempersiapkan modal sehingga belum mampu untuk berdiri sendiri setelah memisahkan diri. Tujuan dari penulisan untuk mengetahui dampak spin-off bagi UUS dengan menganalisis solusi yang dapat ditawarkan. Adapun hasil penelitian menunjukkan bahwa perlu dilakukannya peninjauan kembali terhadap Undang-Undang Nomor 21 Tahun 2008 Tentang Perbankan Syariah dengan mempertimbangkan kondisi finansial UUS. Selain itu UUS yang telah melaksanakan spin-off dengan menjadi BUS baru dapat mengoptimalkan pemanfaatan Dana Pihak Ketiga dalam bentuk pembiayaan dan layanan lainnya. Dalam rangka mendorong pertumbuhan BUS maka dibutuhkan dukungan dari pemerintah seperti pemberian insentif pajak dan penyederhanaan regulasi pada penyertaan modal. Selain itu, BUS baru perlu melakukan berbagai inovasi dengan penambahan produk pembiayaan maupun pengembangan produk yang telah dijalankan.
Technology Focus: Heavy Oil (April 2022)
Authors: Izadi Mehdi 
Published: May 2022

Heavy oils are characterized by high density, high viscosity, and high-heavy-fraction components. Because of high viscosity and lower API gravity than conventional crude oil, primary recovery of some of these crude oil types requires thermal stimulation of the reservoirs.
Most of the technologies that deal with heavy oil need to address the mobility ratio or viscous forces before any flooding. In general, poor recovery is caused by physical reasons or geological reasons. Physical reasons can be categorized as capillary forces (existence of the interfacial tension between oil and water, wettability) or viscous forces (high mobility ratio between water and oil). Geological reasons are heterogeneities in reservoir rock and exist in all petroleum oil systems.
In heavy oil reservoirs, enhanced oil recovery (EOR) intends to reduce the capillary forces and interfacial tension to improve microscopic displacement efficiency or improve the sweep efficiency (macroscopic) by reducing the mobility ratio between injected fluid and displaced fluid. Improving the mobility ratio is achieved by increasing the viscosity of water using polymers or by reducing the oil viscosity using heat. In general, all technologies need to address the capillary and viscous forces to improve oil recovery. Paper SPE 207361 discusses improving of the efficiency of the flood by near-wellbore conformance and improving the vertical sweep efficiency.
The use of fiber-optic sensors, as addressed in paper SPE 199023, is intended to gather better data and avoid misinterpretation during falloff tests and injectivity tests. Traditionally, for heavy oil EOR simulation, because of the addition of chemical species or heat to the flow equations as well as the need for a finer grid resolution, the use of the full-field model in most cases was limited and the use of sector models and local grid refinement to obtain a reasonable accuracy has been applied in the industry. Sector modeling conditions must be satisfied to establish the reliability and the trade-off between accuracy (sector models) and computational expediency (full-field model). Recent development of hardware and software [graphics-processing-unit (GPU) -based simulators] has provided the industry with the tools to achieve a full-field model simulation in most fields by taking advantage of GPU solvers and using a fine-grid model to predict full-field performance.
Recommended additional reading at OnePetro: www.onepetro.org.
SPE 200279 - Field Application of the Autonomous Inflow Control Device for Optimized Heavy Oil Production in South Sultanate of Oman by Ali Al-Jumah, Petroleum Development Oman, et al.
SPE 203012 - More Oil and Less Water: Autonomous Inflow Control Devices in New and Old Producers in Heavy Oil Fields From South of Oman by Ameera Al Harrasi, Petroleum Development Oman, et al.
SPE 207684 - Game Changer in Dealing With Hard Scale Using a Slickline Torque Action Debris Breaker by Mahmoud Mohamed Koriesh, Dragon Oil, et al.
Fiber-Optic Sensors Evaluate Well Performance in Polymerflooding Pilot
Authors: Carpenter Chris 
Published: May 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 199023, “Evaluation of Well Performance Using Data From Fiber-Optic Sensors in Wells of a Pilot Polymerflooding Test, Orinoco Basin, Venezuela,” by Andres Ramirez, Edgar Vasquez, and Luis Quevedo, PDVSA, et al. The paper has not been peer reviewed.
The complete paper describes a pilot test using polymerflooding in which evaluating the performance of injector wells was a main priority. The authors chose to complete the wells using a distributed temperature sensor. The paper describes how a better understanding of the connection between the well and the reservoir can improve reservoir simulation models, the decision-making process, and well-performance evaluation. The authors also stress the importance of determining the possibility of unswept areas in the reservoir, which could result in low volumetric sweep efficiency and, consequently, low recovery factor.

Introduction
The field is in the Orinoco Belt, mainly unconsolidated Miocene sandstone, and has produced heavy oil since 1999. At the time of writing, more than 711 producing wells have been drilled since the beginning of the exploitation of the field. After reaching a production plateau of 200,000 B/D, enhanced-oil-recovery technologies have been considered. One of these is polymerflooding.
A pilot test was conducted in an area of the field in which conditions did not indicate application of any thermal recovery technique. The reservoir pressure at project startup was 315 psia, with a reservoir temperature of 115.5°F. Average porosity was 0.32, reservoir absolute permeability was estimated to be between 25 and 15 darcies, and reservoir thickness was 25 ft. Oil mobility was very low because of high viscosity.
The pilot test began in 2016. Polymer at a concentration of 900 ppm was injected in a deltaic sedimentary environment composed of distributary channel fills and mouth bars. Polymer was injected through three injector wells.
The objective of the test is to provide rapid answers to questions about injection performance, polymer stability, and the effect of heterogeneities. The results will determine if the technology represents a feasible opportunity for future development of the field. The objectives of the control plan in this phase include the following:
- Establish how much of the horizontal section contributes to the well injectivity
- Estimate an injection profile distribution
- Determine if important changes occur during injection
Electrical Heating Can Optimize Production in Heavy-Oil Fields With Intelligent Multilaterals
Authors: Carpenter Chris 
Published: May 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper IPTC 20134, “Production Optimization Through Intelligent Multilateral Wells in Heavy-Oil Fields by Electrical Heating,” by Cenk Temizel, SPE, Saudi Aramco; Celal Hakan Canbaz, Ege University; and Fatma Bahar Hosgor, Petroleum Software, et al. The paper has not been peer reviewed. Copyright 2020 International Petroleum Technology Conference. Reproduced by permission.
Electrical resistive heating provides key advantages over other thermal methods in the recovery of heavy-oil resources. However, the recovery efficiency with electrical heating is relatively lower compared with more-conventional methods such as cyclic steam stimulation, steamflooding, and steam-assisted gravity drainage (SAGD) because it does not introduce a (pressure) drive mechanism and the radius of effect is relatively small, which may result in marginal economics. In this study, the application of electrical resistance heating on multilateral wells is studied in order to illustrate the enhanced physical and economic benefits of the method in such a setting.

Smart Tools in Multilateral Wells
Placement of a multilateral well is a decision that must be considered carefully. The easiest method of determining whether the approach is the right one for a field is to analogize multilateral wells with the traditional single-bore wells that penetrate to the same formation area. The multilayered well has less drilling depth and reduced rig time compared with the conventional wells. Thus, multilaterals are an advantageous completion design in locations such as offshore platforms or harsh-weather areas.
However, multilateral well-completion design is challenging because of its increased complexity. Most smart wells include hydraulic-control systems to satisfy a simpler, more-reliable operation. Current wellhead-control systems allow a limited number of penetrations. The indications are that smart tools controlled with electrical systems will be an emerging focal point of the industry.
The cost of a multilateral well is higher because of the equipment used and operational complexity. It also includes a higher risk compared with the risk of a conventional well. Any problem that results in abandoning the well will bring a major economic loss equal to the cost of several conventional wells.
ProteinGLUE multi-task benchmark suite for self-supervised protein modeling
Authors: Capel Henriette , Weiler Robin , Dijkstra Maurits , Vleugels Reinier , Bloem Peter , Feenstra K. Anton 
Published: May 2022

Abstract
Self-supervised language modeling is a rapidly developing approach for the analysis of protein sequence data. However, work in this area is heterogeneous and diverse, making comparison of models and methods difficult. Moreover, models are often evaluated only on one or two downstream tasks, making it unclear whether the models capture generally useful properties. We introduce the ProteinGLUE benchmark for the evaluation of protein representations: a set of seven tasks for evaluating learned protein representations. We also offer reference code, and we provide two baseline models with hyperparameters specifically trained for these benchmarks. Pre-training was done on two tasks, masked symbol prediction and next sentence prediction. We show that pre-training yields higher performance on a variety of downstream tasks such as secondary structure and protein interaction interface prediction, compared to no pre-training. However, the larger base model does not outperform the smaller medium. We expect the ProteinGLUE benchmark dataset introduced here, together with the two baseline pre-trained models and their performance evaluations, to be of great value to the field of protein sequence-based property prediction. Availability: code and datasets from https://github.com/ibivu/protein-glue
Rlsc -road and Lane Based Stable Cluster Formation in Infrastructured Vehicular Adhoc Network
Authors: Karne RadhaKrishna 
Published: May 2022

Abstract
Vehicular Adhoc network - VANET is a technology that can provide assistance, safety and service to vehicles on the road. It is a network that communicates between vehicles wirelessly and infrastructure through the Internet. In this way, faster data and services can be shared through wirelesscommunication with different vehicles on different roads. It is a network communication system disseminated in a standardized way. One of the challenges is to establish a connection between vehicles traveling between various lanes on the larger road during fast driving and transmit data in these few seconds. In this proposed method RLSC -road and lane based stable cluster formation in infrastructure vehicular adhoc network, rapid data transmission is accomplished between clusters. Cluster data transmission is an advanced technology for effectively managing network resources and improving the network.Group-based vehicle communication is conducive to rapid data transmission. In this proposed model, dual clusters lead theway. If the active leader crosses the transmission range of thearea due to mobility,next level vehicle will become another active leader of the region. The selection of the leader is based on several parameters. Essentially, the leader should be locatedin the midpoint of the broadcastarea in each cluster. And the group must travel in the same direction at the same speed. On this basis, the vehicles lineup in a row and then start the race as the leader. Therefore, it can be seen that more packagedeliverieshave been completed
New Formulas for the Trigonometry of Isosceles Triangles
Authors: King Noah 
Published: May 2022

Abstract
This paper discusses a new formula to solve for the angle of isosceles triangles given proportion of differentiated unequivalent edge length versus the always-equivalent edges. The equation is equal to the arcsine of (X/2) multiplied by two. This formula is to be called ‘isn^-1(x)’, short for inverse isosceles sine equivalent. Also discussed is the non-inverse ‘isn(x)’ which is the cyclic function which is determined to correspond as the equivalent of the classic sine formula to isosceles triangles. The formula set is clearly superior and powerful at calculating the angle and measure of any given obtuse or acute triangle of an unclassified type, as well as unifying a simplest-fit formula across all types of triangle. Also discussed are two transform approximation formulas, which help to analyze graphs and samples. Finally, other methods your author has obtained to calculate angles are discussed and disproven in their effectiveness against this article’s formulas at focus, as with any other known angle formulas. This effectively makes obsolete any previously used trigonometric identities.
Rapid epidemic expansion of the SARS-CoV-2 Omicron BA.2 subvariant during China’s largest outbreaks
Authors: Dai Yeyu 
Published: May 2022

Abstract
A complete and accurate statistical analysis of cases of contraction with SARS-CoV-2, under the conditions of strict mandatory quarantine and isolation and of a high rate of full vaccination, during the largest COVID-19 outbreaks driven by the Omicron BA.2 subvariant in China are given. SARS-CoV-2 is still new, and little is known about either its directions of variations or its laws of propagation. No country other than China has been able to disclose every case of infection in every epidemic or outbreak since April of 2020. Here, this study reveals that Omicron BA.2 subvariant can still spread very fast and wide in areas with strict “dynamic zero-COVID strategy” in China, that there exist cities twenty-fold differences in morbidity rates unrelated to any of the known factors contributing to incidence of infectious diseases, and that Omicron BA.2 subvariant is unpredictable in its virulence, although its severity rate of symptomatic cases is low. This analysis provides first-hand original and valuable information for further research on similar epidemics in the future. It may bring new thoughts for correction of present epidemiological theory and mathematical models. It may also give other countries time to be better prepared for the coming 6th wave driven by Omicron BA.2.
Influence of pressure and composition on electronic properties, phonon frequencies, and sound velocity for the zinc-blende GaAs1-xNx alloy
Authors: Elkenany Elkenany B 
Published: May 2022

Abstract
We investigated the electronic, phonon frequencies, and sound velocity of GaAs1 − xNx ternary semiconductor alloys with the zinc-blende crystal structure over the entire nitrogen concentration range (with x from 0 to 1) using the empirical pseudo-potential model within the virtual crystal approximation including the compositional disorder effect. The pressure-dependent electronic, phonon frequencies and sound velocity of GaAs1 − xNx ternary alloy have been studied. Our findings and the existing experimental data are found to be in good agreement. According to the dependence on pressure, a rising band gap is predicted for GaAs1 − xNx alloys at high-pressure values. According to the findings of this study, the GaAs1 − xNx characteristics could have substantial optoelectronic applications in the infrared and mid-infrared spectral ranges.