bluuebunny/crossref_metadata_2025 huggingface dataset:
Hubungan Kerapatan Dengan Laju Produksi Serasah Mangrove di Kawasan Muara Badak Kutai Kartanegara Kalimantan Timur
Authors: Athasyah Naufal , Paputungan Mohammad Sumiran , Bulan Dewi Embong
Published: December 2023

ABSTRAKEkosistem mangrove mempunyai fungsi yang sangat penting karena memiliki fungsi fisik dan ekologis. Mangrove adalah satu di antara ekosistem produktif yang produksi primernya terdiri dari serasah, dekomposisi dan nutrisi. Tingginya produktivitas mangrove akan terkait dengan rantai makanan yang bergantung pada serasah yang terurai. Penelitian ini bertujuan untuk mengetahui hubungan kerapatan mangrove dengan laju produksi serasah di kawasan Muara Badak Kutai Kartanegara Kalimantan Timur. Penelitian ini telah dilaksanakan pada bulan Juli – Agustus 2022. Data kerapatan dan produksi serasah mangrove diambil pada transek berukuran 10 m2. Serasah mangrove diambil pada 2 stasiun penelitian menggunakan litter-trap dengan ukuran 1x1 meter selama 1 bulan dengan pengambilan sampel sebanyak 3 kali setiap selang waktu 10 hari. Hasil penelitian menunjukkan jenis mangrove yang dominan ditemukan pada 2 stasiun penelitian yaitu Sonneratia alba, Rhizophora mucronata, Rhizophora apiculata, dan Avicennia marina. Sementara itu, kerapatan mangrove pada pada stasiun I rata-rata sebesar 1.100 ind/ha dan stasiun II sebesar 1.133 ind/ha. Laju produksi serasah mangrove pada stasiun I rata-rata sebesar 0,74 g/m²/hari dan pada stasiun II sebesar 1,64 g/m²/hari. Hasil uji korelasi menggunakan regresi linear menunjukkan bahwa terdapat korelasi yang kuat antara kerapatan mangrove dengan laju produksi serasah.Kata Kunci: Kerapatan mangrove, Muara Badak, produksi serasah.ABSTRACTThe mangrove ecosystem has a very important function because it has physical and ecological functions. Mangroves are one of the productive ecosystems whose primary production consists of litter, decomposition and nutrients. The high productivity of mangroves will be related to the food chain that depends on decomposed litter. This study aims to determine the relationship between mangrove density and litter production rate in the Muara Badak Kutai Kartanegara area, East Kalimantan. This research was carried out in July – August 2022. Data on mangrove litter density and production were taken on a 10 m2 transect. Mangrove litter was taken at 2 research stations using a 1x1 meter litter trap for 1 month with 3 samples taken every 10 days. The results showed that the dominant mangrove species were found at 2 research stations, namely Sonneratia alba, Rhizophora mucronata, Rhizophora apiculata, and Avicennia marina. Meanwhile, the density of mangroves at the station I averaged 1,100 ind/ha, and at station II was 1,133 ind/ha. The production rate of mangrove litter at station I was an average of 0.74 g/m²/day and at station II it was 1.64 g/m²/day. The results of the correlation test using linear regression showed that there was a strong correlation between mangrove density and litter production rate.Keywords: Litter production, Muara Badak, mangrove density
Proposing Performance Review Method to Improve Employee Productivity in PT MAPI
Authors: Fitri Astrid Iryana , Lantu Donald Crestofel
Published: December 2023

Objectives of this study are to find the employee and management perception related to the employee productivity in PT MAPI and how impactful the employee performance review that produces an annual reward to the level of employee productivity at work, and to develop current performance review method which will be used in the future to boost employee productivity. The author use qualitative techniques to gather information from relevant stakeholders, from HRGA staff and related managers. The study found that of the qualitative interview, it  provides insight to the company that the existing performance review method still has many deficiencies that need improvement in terms of preparation and implementation and monitoring of the follow-up results of the performance review. In order to address issues with the performance review process currently being used by the company, PT MAPI must review the current process so that improvements can be made from changes to the performance review process, which, based on the results of the interviews, will impact employee productivity.
Improvement for 360˚ Marketing Communication Strategy Using Customer Relationship Management (CRM) Approach To Increase Digital Banking Platform Utilization : A Case of Kopra in PT. Bank Mandiri (Persero), Tbk
Authors: Sihombing Ronald Cahaya Perdana , Windasari Nila Armelia
Published: December 2023

This research aimed to understand how Customer Relationship Management is implemented through existing 360˚ marketing strategy by Bank Mandiri to promote the use of Kopra for its customers and to provide improvement for existing 360˚ marketing strategy in order to increase the utilization of Kopra on Commercial Banking customers. The methodology used for this research is quantitative and qualitative methods. The study found that the digitalization in banking industry is the new phase for banking customers to conduct their transaction. The improvement for existing 360˚ marketing communication strategy, in order to maximize utilization of “Kopra by Mandiri”, is based on CRM approach, which elaborate and dig more comprehensively toward customers situation, point of view, and possible pain points. The 3 approaches proposed to improve 3600 marketing communication strategy are educative-based marketing, customer involvement, and continuous improvement.
Citra Wanita Tokoh Utama dalam Novel “ Sehidup Sesurga Denganmu” Karya Asma Nadia
Authors: Lestari Suci , Sunarsih Eti , Mulyani Sri
Published: December 2023

Karya sastra pada dasarnya merupakan refleksi kehidupan masyarakat yang dialami, direnungkan, dan dilihat secara intensif dengan daya imajinatif pengarang yang kemudian disajikan lewat bahasa pengarangnya. Penelitian ini berkaitan dengan mata pelajaran Bahasa Indonesia di sekolah yaitu di tingkat SMA. Pengajaran novel dimuat dalam kurikulum K-13 pada siswa kelas XII Semester 1 dengan KD 3.9 “Menganalisis isi dan kebahasaan novel” dan KD 4.9 “Merancang novel atau novelet dengan memerhatikan isi dan kebahasaan baik secara lisan maupun tulis”. Dalam penelitian ini penulis menggunakan metode deskriptif, metode deskriptif adalah metode yang dilakukan dengan jalan menganalisis data yang sudah dikumpulkan berupa kata-kata, gambar, dan bukan angka-angka. Hasil yang didapatkan dalam penelitian ini berupa terdapat citra fisik dan non-fisik yang tergambarkan dalam beberapa kutipan dalam novel “sehidup sesurga denganmu” karya Asma Nadia. Implementasi hasil kajian dalam novel Sehidup Sesurga Denganmu karya Asma Nadia dalam rencana pelaksanaan pembelajaran bahasa dan sastra Indonesia akan mengacu tujuan dan indikator pencapaian dalam pembelajaran dalam aspek keterbacaan fiksi, yaitu kutipan novel Sehidup Sesurga Denganmu karya Asma Nadia yang akan dibantu dengan media cetak, menggunakan metode diskusi dibantu dengan metode ceramah dan tanya jawab serta penilaian melalui pemberian soal essay.
Media BUBOP (Busy Book Puzzle) untuk Menstimulus Kemampuan Visual Spasial Anak
Authors: Putri Rena Febry Anjeli , Adhani Dwi Nurhayati
Published: December 2023

Penelitian ini dilatar belakangi oleh kemampuan visual spasial anak kelompok B usia 5-6 tahun di TK Sidorejo 2 Ngawi. Fasilitias media pembelajaran yang minim sehingga peneliti mengembangkan media yang berjudul BUBOP (Busy Book Puzzle) Menstimulus Kemampuan Visual Spasial Anak yang bertujuan untuk memecahkan permasalahan tersebut. Penelitian ini menggunakan metode Penelitian dan Pengembangan atau Research and Development (RD) dengan model penelitian Borg and Gall. Indikator usia dalam penelitian ini yaitu anak usia 5-6 tahun di TK Sidorejo 2 Ngawi dengan jumlah subjek 25 anak. Teknik pengumpulan data menggunakan angket (ahli materi, ahli media pembelajaran), lembar observasi respon anak dan dokumentasi. Hasil penelitian mennunjukkan bahwa nilai yang diperoleh media BUBOP dari ahli materi dengan persentase sebesar 88% dengan ketentuan “valid”, dari ahli media pembelajaran tahap 1 dengan persentase sebesar 69% dan tahap 2 sebesar 84%. Uji lapangan awal persentase sebesar 81% dengan ketentuan “menarik”, uji lapangan utama dengan persentase sebesar 85% dengan ketentuan “menarik”, uji lapangan skala besar dengan persentase sebesar 90% dengan ketentuan “menarik”. Penelitian ini memberikan kontribusi untuk mengetahui media BUBOP (Busy Book Puzzle) dalam menstimulus kemampuan visual spasial anak. Penelitian ini memberikan kontribusi berupa alternatif media dalam stimulasi kemampuan visual anak usia dini.
Peningkatan Kemampuan Berbicara melalui Kegiatan Bermain Peran: Sebuah Kajian Tindakan Kelas
Authors: - Muyasaroh , Afandi Nur Khalik
Published: December 2023

Kemampuan berbicara anak-anak di TK Al-Azhar mengalami penurunan, sehingga memerlukan suatu tindakan. Tujuan penelitian ini untuk meningkatkan kemampuan berbicara anak dengan kegiatan bermain peran. Metode penelitian ini menggunakan penelitian tindakan kelas model Kemmis Mc Taggart Subjek dalam penelitian ini meliputi: guru, orang tua, dan anak di TK Al-Azhar 4 Jumlah 15 orang anak yang terdiri 7 laki-laki dan 8 perempuan. Pengumpulan data penelitian ini menggunakan observasi, wawancara dan dokumentasi. Observasi yang dilakukan peneliti ialah mengamati kemampuan berbicara anak-anak di TK Al-Azhar 4. Analisis data penelitian ini menggunakan analisis kuantitatif dan analisis kaulitatif. Hasil penelitian ini menunjukkan bahwa kemampuan berbicara di TK Al-Azhar 4 dapat meningkat dengan kegiatan bermain peran. Siklus I memperoleh sebesar 13.3% (2 anak) kategori berkembang sangat baik, 26.4% (5 anak) kategori berkembang sesuai harapan, 60% (9 anak) kategori mulai berkembang, 0% (0 anak) kategori belum berkembang. Siklus II diperoleh 40% (6 anak) kategori berkembang sangat baik, 36% (5 anak) kategori berkembang sesuai harapan, 24% (4 anak) kategori mulai berkembang, 0% (0 anak) kategori belum berkembang. Siklus III diperoleh60% (9 anak) kategori berkembang sangat baik, 40% (6 anak) kategori berkembang sesuai harapan, 0% (0 anak) kategori mulai berkembang, 0% (0 anak) kategori belum berkembang. Maka diperoleh hasil kemampuan berbicara anak kategori berkembang sesuai harapan dan berkembang sangat baik mencapai sebesar 97,3%. Temuan penelitian ini memberikan kontribusi dalam mengatasi permasalahan kemampuan berbicara anak usia dini dapat menstimulus dengan kegiatan bermain peran anak.
LEGAL PROTECTION OF CONSUMERS AGAINST THE CIRCULATION OF ILLEGAL AND DANGEROUS COSMETICS THAT HARM CONSUMERS IN INDONESIA
Authors: Alimah Nur , Mulyani Asti Sri , Alfiani Temmy Fitriah
Published: December 2023

Cosmetics are products that are widely used by the public for personal care and appearancepurposes. However, the circulation of illegal and dangerous cosmetics poses a serious threat to the health and safety of consumers. This research aims to study the challenges faced in protecting consumers from the circulation of illegal and dangerous cosmetics, and analyze how legal protection is provided to consumers regarding the circulation of illegal and dangerous cosmetics that cause harm to consumers. The research method used in this research is normative juridical. This is based on the provisions of Law Number 8 Year 1999 concerning Consumer Protection which regulates the production of cosmetics and also guarantees consumer protection in purchasing cosmetic products. In the event of circulation of illegal cosmetics, warnings, coaching of business actors, and withdrawal of products will be given which will harm consumers themselves. Therefore, increasing supervision of the use and monitoring the circulation of cosmetics without BPOM licenses because this is one of the many illegal cosmetics at this time.
Being-in-God, Goodness, Affects: once again about Spinoza’s Religion
Authors:   Institute of Philosophy, Russian Academy of Sciences, Sleptsova Valeriya
Published: December 2023

In this paper, I consider Clare Carlisle’s treatment of the Spinoza’s Ethics. Carlisle departs from the generally accepted interpretation of Spinoza’s ideas as classical pantheism or panentheism. She replaces these terms with the concept of “being-in-God”, which turns out to be the key concept in Spinoza’s philosophy. This concept forms both ontology and ethics. In my opinion, Carlisle unreasonably expands the concept of theology, when she argues, that it is impossible to separate philosophy from theology in Spinoza’s works. The basic concepts of Spinozism (three types of cognitive abilities, attraction, action, desire, “acquiescentia”, etc.) and “being-in-God” Carlisle connects with Spinoza’s understanding of the good: Good is not something external to God nor it is supposed to be outside our will as the cause of its inclinations and preferences. The reward for virtue, that is the result of moral behavior, is virtue itself, and it has no external goal. Carlisle discovers similarities between the ideas of Spinoza and Thomas Aquinas, and draws parallels between their understanding of God and religio. These parallels seem purely formal. Although Spinoza translates traditional understanding of religio as a virtue, his teaching is not consistent with the Christian worldview in content. It also seems hasty to talk about the religiosity of his philosophy, since the Dutch philosopher sharply distinguished between religion and philosophy.
Kant’s Ethicotheology and His Concept of the Highest Good
Authors:   Рeoples’ Friendship University of Russia (RUDN University), Kryshtop Ludmila
Published: December 2023

The article concerns key aspects of Kant's views on theology, namely the possibility of theology as a science, the degree of certainty in knowledge achievable for it, the features of its subject, method and structure. The article shows that this problematic was of interest to Kant even in the pre-critical period, later, already in the critical period, this problematic was systematically developed. The author of the article examines the similarities and differences in the approach to theology (and, above all, to the proofs of the existence of God) between the writings of the critical and pre-critical periods. Ethicotheology is at the center of consideration. It is shown that it is ethicotheology that in the critical period is called upon to play the role of the foundation of all theological constructions. It is established that ethicotheology has two main tasks – to verify the existence of God and to deduce his inalienable attributes. Both of these tasks could be realized solely through the practical application of reason. The only one method used by ethicotheology is the method of postulation. The basis for postulating the existence of God and his moral attributes is the concept of the highest good, for the assumption of the realizability of which it becomes necessary to assume the existence of such a moral essence as God. At the same time, it is shown that for all its dominant significance, it is not considered even in the critical period (contrary to the idea of many historians of philosophy) the only way of knowing God.
AI, Influencers, and Grit: How Apache’s 8-Year Quest To Build Its Own Drilling Advisor Achieved Full Adoption
Authors: Jacobs Trent
Published: December 2023

When oil prices tumble, upstream research and development projects are among the first casualties. Many are put on the shelf. Few are ever taken off.

Then there’s what happened at Apache Corp.

More than a decade ago, the Houston-based independent oil and gas producer, which following a restructuring is now a subsidiary of APA Corp., was among a small cadre of operators working at the fore of automated drilling technology.

As a first adopter, Apache had gone so far as to develop a newbuild automated rig design for its onshore shale fields in Texas.

Then in mid-2014, crude prices plummeted nearly 60% over a 7-month period. The heady days of $100/bbl oil were replaced by the era of “lower for longer,” derailing Apache’s ambitious plan to build its pioneering prototype.

That could have been the end of the story. But less than a year after the ambitious capital project was scrapped, something else emerged in its place. While AI-based automation was out, Apache’s drilling team was given a chance to develop the next best thing: an AI-based drilling advisory system.

“We saw that there was at least a small opportunity to do something more with our rig data—that 1-Hz real-time data—by combining it and mashing it up with contextual data so that it could be something useful,” said Michael Behounek, a former director of drilling, completions, and workover performance and leader of the project for Apache where he spent the past 13 years before taking early retirement.

Now a managing partner of an upstream digital consulting startup called Emerja, Behounek spoke at the recent SPE Annual Technical Conference and Exhibition while presenting SPE 215132.

The paper outlines how after 8 years that small opportunity turned into a 10% year-over-year reduction in drilling costs. The system, a presumed multi-million dollar value creator, was adopted across all of Apache’s contracted rigs in 2018, playing an increasingly important role in the drilling of more than 1,700 wells across a wide spectrum of geologies. This track record spans nine onshore and offshore basins, with deployments of the system in the Permian Basin, Egypt, Canada, offshore Suriname, and the North Sea.

Behounek said most of the reported cost savings stem from the models’ ability to trim rig time by predicting problems that would keep drillers from staying on bottom and turning to the right.

That said, the paper, which is coauthored by Apache’s software partner Intellicess Inc., emphasizes that “the system only enables the opportunity—it is the field personnel and engineers taking the proper actions and decisions offered by the system that deliver the improvement.”

Apache has shared several papers about the various components of the advisory program over the years but the most recent offers a holistic view of the strategy that led to companywide adoption.

Of the dozens of takeaways it offers, some of the biggest follow.
Alternative Business Model of CCS Projects Unlocks High-CO2 Fields
Authors: Carpenter Chris
Published: December 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 214359, “Business Model of Carbon Capture and Storage (CCS) Projects for High-CO2 Fields,” by Hasnor Lot, SPE, Andrew Yeow, SPE, and Anuar Buang Mahmood, SPE, Petronas, et al. The paper has not been peer reviewed.

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High-CO2 gas fields present a problem to host governments wanting to both ensure security of supply and achieve net-zero aspirations. While carbon capture and storage (CCS) technology holds the promise of technical feasibility to unlock these fields, its commercial success ultimately hinges on the choice of an appropriate business model. This study compares the economics of the traditional business model [i.e., CCS as part of the upstream petroleum operation dedicated to a production sharing contract (PSC)] vs. the alternative business model [i.e., a regional CCS hub separately managed by a special-purpose vehicle (SPV)]. For simplicity, this paper uses the term CCS throughout, although the discussions apply equally well to carbon capture, usage, and storage projects.

Background

Gas Value Chain and the Cost of Gas (COG). With its higher development, transportation, and processing costs; longer and flatter production profile; and needs for network infrastructure, the economics of gas development is often less robust than that of oil. Therefore, gas development requires not only the establishment of long-term contracts and a complex value chain but also active government support in the form of friendly fiscal and tax regimes and a fair gas-pricing policy.

In addition to its role as the upstream regulator, a national oil company (NOC) may also participate in the gas market as an aggregator. Effectively, the NOC signs an upstream gas-sales agreement (UGSA) with upstream contractors committing to buy gas at a volume and price palatable to them. The aggregator then sells the gas it now owns to downstream users. The margin between the buying and selling prices makes up the aggregator’s profit. In return, the aggregator takes on the intermediary roles of matching supply to demand, coordinating fair nomination and curtailment mechanisms, and ensuring that the gas chain as a whole is flexibly robust against operational disruptions.

An NOC enjoys the dual roles of operating as a national corporation and acting as the upstream regulator. In its regulatory role, the NOC is cognizant of the need to allocate the risks and rewards of a CCS investment in a fair and efficient manner between participating parties.

The business model must improve the overall economic return for both the upstream contractor and the SPV while enhancing the NOC’s integrated value. The business model so designed must also achieve the NOC’s longer-term goal of unlocking resource opportunities and monetizing stranded gas fields.
Stochastic Economic Ranking Addresses Risk and Uncertainty for Decision-Makers
Authors: Carpenter Chris
Published: December 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 213385, “Stochastic Economic Ranking: A Prudent Way To Address Risk and Uncertainty for Decision-Makers,” by Mahesh Narayanan, SPE, Mehaboob Abdulazeez, SPE, and Khadija Bukhamsin, SPE, Saudi Aramco, et al. The paper has not been peer reviewed.

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Project screening and ranking is inevitable even when an organization faces no resource bottlenecks. In project economic predictions, the stochastic approach is prevalent and proves to be the most natural approach to address technical and commercial uncertainties. In contrast with a deterministic approach, a stochastic Monte Carlo simulation helps in understanding the range of possible outcomes to enable effective decision-making. The objective of the complete paper is to present an integrated stochastic work flow that addresses the subsurface, surface, and cost uncertainties to screen, rank, and grade opportunities early in the derisking process.

Introduction

The proposed work flow simultaneously can address all technical and commercial uncertainties with a Monte Carlo model and predict a range of possible economic outcomes with customized economic analysis tools. In other words, it can achieve complete unbiased sample randomness in expected project outcomes. The work flow also creates a stage-gate decision-tree approach and reviews economics as a series of staged investments. This helps to expose incremental capital in the life cycle of a project responsibly and help with course correction where necessary.

Value Addition: Stochastic Approach

A common practice in the oil and gas industry is to simply examine low, middle, and high cases. This is a limited view of possible scenarios and provides a false sense of precision regarding expected project outcomes.

The term “stochastic” refers to the property of being well-described by a random probability distribution. A stochastic approach features the following advantages:

- A stochastic model addresses uncertainties in inputs with complete unbiased randomness in the outcomes.

- By running thousands of calculations and using many different estimates of future economic conditions, stochastic models predict a range of possible future investment results, showing the potential upside and downside of each.

- Once the work flow is followed and the model is set up, multiple realizations can be created with a single click.

Proposed Integrated Stochastic Methodology

In the world of project economics, classical stochastic economics is a tool to address uncertainty and risk. In simple terms, a mean or deterministic view of a production profile, along with one view of a schedule, is taken and blended with probabilistic distribution of cost inputs. This data is then taken through a Monte Carlo model to create multiple scenarios to predict a range of possible economic outcomes. This narrow range of economic outcomes only covers the uncertainty in cost but does not cover variability in well performance and time.
Nanomembrane Approach Reuses Waste, Cleans Produced Water
Authors: Carpenter Chris
Published: December 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 213946, “Nanomembranes From Polymeric Waste for Produced-Water Treatment,” by Anton Manakhov, Iaroslav Rybkin, and Fahd I. AlGhunaimi, Saudi Aramco, et al. The paper has not been peer reviewed.

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In the oil and gas sector, produced water is the most significant waste stream. Among the different materials used for water filtration, including ceramics, polymers, and carbon nanomaterials, polymeric nanofibers can be considered a unique solution that can be used as a membrane or an adsorbent. In the complete paper, the authors write that polymeric nanofibers can be prepared from polystyrene waste.

Introduction

The management of polystyrene trash and recycling creates a significant environmental problem. While most of this substance ends up in landfills, only a small portion of polystyrene is recycled or burned. By turning this trash into products with added value, recycling will become more appealing economically and will result in lower CO2 emissions and less chemical waste dumped on the ground.

At the same time, the use of modified nanofiltration membranes for generated-water purification has been a subject of study for many researchers. The complete paper includes a review of the literature dedicated to advances in this approach.

Dissolved polystyrene waste can be used as a feedstock in the electrospinning process to create nanofibrous membranes. Electrospinning is one of the more basic methods for producing nanofibers with dimensions ranging from micrometers to nanometers. Strong electrostatic forces are used to overcome the surface tension of a polymer solution or melt. These pressures produce the ejection of charged polymer jets, which dry as they approach a grounded electrode, where they are gathered as nanofibers.

In this work, the nanofibrous polystyrene membranes were prepared from discarded expanded polystyrene waste. Initially, polystyrene waste was collected and dissolved in an organic solvent; then, the nanofibrous membranes were prepared by the electrospinning of nanofibers from this solution. The morphology, pore sizes, and other parameters were controlled and optimized by tuning the concentration of polystyrene, the nature of the solvent, and the spinning voltage to form uniformly sized nanofibrous membranes.
Hehuan Anshen Decoction Inhibits Hypothalamic Ferroptosis to Ameliorate p-Chlorophenylalanine-induced Insomnia
Authors: Deng Qing , Li Yanan , He Linting , Wang Yuxia , Li Nana , Zhao Zhenghao , Kui Wenyun , Xu Jian , Wang Kaiqiang , Sha Zhongwei , Xue Chunchun
Published: December 2023

Insomnia is a highly prevalent health condition with a global impact. The hypothalamus, a crucial brain region governing sleep-wake cycles, plays a pivotal role in the manifestation of insomnia. Perturbation in the hypothalamus correlates with the development of insomnia by inducing neuronal demise. Furthermore, emerging evidence acknowledges the involvement of ferroptosis, a new form of programmed cell death, in various neurological disorders. Hehuan Anshen Decoction (HHASD), an innovative formula derived from Traditional Chinese medicine, has demonstrated therapeutic efficacy in treating insomnia, however, the potential pharmacological mechanism underlying its anti-insomnia effects remains incompletely elucidated. This study aimed to explore the underlying mechanism of HHASD treatment in mice with insomnia induced by p-Chlorophenylalanine (PCPA). PCPA-treated insomnia mice were administered HHASD orally for 7 days. The main constituents of HHASD were identified by high-performance liquid chromatography (HPLC). The anti-insomnia effects of HHASD were assessed through behavioral tests, encompassing the open field test and pentobarbital sodium-induced sleep test, alongside the measurement of hypothalamic 5-HT levels. Then, we conducted an in-depth analysis of specific ferroptosis markers, considering morphology, biochemistry, and genetics. The results demonstrated that HHASD could effectively improve the insomnia phenotype induced by PCPA, resulting in decreased sleep latency and prolonged sleep duration. Specifically, HHASD exerted a neuroprotective effect by enhancing the integrity of Nissl bodies in the hypothalamus of the insomnia mouse modeling. Mechanistic analysis revealed that HHASD could reverse the hypothalamic ferroptosis phenotype of insomnia mice by restoring the lowered levels of glutathione (GSH) and superoxide dismutase (SOD), inhibiting iron accumulation and elevated malondialdehyde (MDA), and mitigating mitochondrial cristae damage. Furthermore, HHASD enhanced the expression of SLC7A11 and GPX4 and reduced the ASCL4 in the hypothalamus, while the anti-insomnia effect of HHASD in the PCPA mice was eliminated by the GPX4 inhibitor RLS3. In summary, HHASD ameliorates insomnia-related behaviors and protects against neuronal damage by suppressing hypothalamic ferroptosis.
Performance and emissions of an engine operating with the direct injection of diesel, biodiesel, and wet ethanol blends
Authors: de Souza Ivair Carvalho , HANRIOT Sergio , Moreira Vinícius Guerra , Amorim Rogério Jorge
Published: December 2023

This research evaluates the performance and pollutant emissions of a motor generator set equipped with a compression ignition engine, adapted to operate with the direct injection of ethanol and diesel oil. Fuel injection was conducted with separate systems. The experiments were carried out with power loads varying from 15 kW to 37.5 kW, an ethanol injection angle of 40o crank angle degree (CAD) before the top dead center (BTDC), and a 23o CAD BTDC diesel injection angle. The diesel fuel was replaced with ethanol mass percentages ranging from 52% to 59%, with the ethanol being over-hydrated from 7% to 30% by the mass of water. The emissions and performance exhibited different behaviors, varying according to the power loads and hydration contents. The results showed significant reductions in the emissions of nitrogen oxides (NOx) and smoke opacity for all the fuel mixtures used. An increase of approximately 5% in engine fuel conversion efficiency was observed when operating with ethanol blends at higher power loads. The occurrence of an ignition delay with the use of wet ethanol did not vary significantly with the amount of water mass, but it did vary with the operating load. It was also found that a higher volume of water in the fuel promoted an increase in the in-cylinder pressure at higher loads. These results suggest that the use of a fuel mixture containing diesel oil and wet ethanol blends, directly injected by separate systems, can favor the reduction of emissions and reliance on petroleum-based fuels. This could potentially lead to a cost reduction in the production of this renewable fuel, without compromising the performance of the engine.
Ubiquitin-independent degradation of Bim blocks macrophage pyroptosis in sepsis-related tissue injury
Authors: Li Lei , Shi Peilin , Du Yingying , Yang Bo , Guan Qiujing , Jing Yiming , Tang Hao , Shen Shihui , Wu Chunrong , Zhang Yunyan
Published: December 2023

Pyroptosis, a typical inflammatory cell death mode, has been increasingly demonstrated to have therapeutic value in inflammatory diseases such as sepsis. However, the mechanisms and therapeutic targets of sepsis remain elusive. Here, we reported that REGγ inhibition promoted pyroptosis by regulating members of the gasdermin family in macrophages. Mechanistically, REGγ directly degraded Bim, a factor of the BCL-2 family that can inhibit the accumulation of GSDMD/E, ultimately preventing the occurrence of pyroptosis. Furthermore, cecal ligation and puncture (CLP)-induced sepsis model mice showed downregulation of REGγ at both the RNA and protein levels. Gasdermin-mediated pyroptosis was augmented in REGγ-knockout mice, and these mice exhibited more severe sepsis-related tissue injury. More importantly, we found that REGγ expression was downregulated in clinical sepsis samples, such as those from patients with Pseudomonas aeruginosa (PA) infection. Finally, PA-infected mice showed decreased REGγ levels in the lung. In summary, our study reveals that the REGγ-Bim-GSDMD/E pathway is a novel regulatory mechanism of pyroptosis in sepsis-related tissue injury.
Genetic mechanisms underlying gray matter atrophy in Parkinson’s disease: a combined transcriptome and neuroimaging study
Authors: Fang Xiangming , Ji Yi , Xu Min , Zhao Han , Cai Huanhuan , Chen Kaidong , Zhang Li , Mao Haixia , Wang Feng , Zhu Jiajia
Published: December 2023

Extensive research has shown prominent gray matter atrophy in patients with Parkinson's disease (PD), yet its genetic mechanisms are largely unknown. To achieve a more thorough characterization of gray matter alterations in PD, we performed a comprehensive neuroimaging meta-analysis of previous literature including 1,831 PD patients and 1,378 controls as well as examined group gray matter differences in an independent dataset. Utilizing the Allen Human Brain Atlas, we performed spatial association analyses linking transcriptome data to neuroimaging findings to identify genes correlated with gray matter atrophy in PD. Subsequently, we conducted enrichment analyses for the identified genes associated with gray matter atrophy in PD patients and performed a series of gene functional feature analyses (i.e., specific expression, protein-protein interaction (PPI) and behavioral relevance analyses) for deep understanding. Our meta-analysis and independent dataset neuroimaging analysis consistently revealed significant gray matter atrophy in the superior temporal gyrus of PD patients. Transcriptome-neuroimaging correlation analysis identified 1,952 genes whose expression correlated with gray matter atrophy in PD. These genes were enriched in biologically significant processes and exhibited selective expression in brain tissue, dopamine receptor cells, and neurons. Regarding behavioral relevance, these genes were linked to perception and motion domains. Our findings suggest that prominent gray matter atrophy in PD may be a consequence of intricate interactions among a diverse set of genes with various functional features.
Geophysical and geochemical soil characteristics of industrially influenced topsoils of the Arctic Circle Fjord
Authors: Zawadzki Jarosław , Fabijańczyk Piotr
Published: December 2023

This study aimed to investigate the value of magnetic susceptibility within a fjord located on the border of the Arctic Circle. A suitable research area was established near the town of Mo, where magnetometric and chemical measurements were made in four measurement areas. These areas were located at varying distances from Ranfjorden. In addition, a large industrial area, Mo Industrial Park, was located at the research site, and the measurement areas were located so that the distance to this potential source of pollution was also different. As a consequence, the measurement areas were characterized by both varied anthropogenic pressure and natural conditions. During the study, the values of the soil magnetic susceptibility and concentrations of 18 elements in the soil were measured, which were later used to calculate selected measures of spatial continuity as well as classical statistics and factor analysis. The values of soil magnetic susceptibility measured in individual areas decreased with distance from the potential pollution source, Mo Industrial Park, which may suggest that the soils located away from the potential emission source were characterized by a lower concentration of technogenic magnetic particles (TMP). A similar situation was observed in the case of selected concentrations of elements in the soil and in the case of selected parameters of spatial correlations of soil magnetic susceptibility, which were characterized by a similar tendency of changes as in the case of magnetic susceptibility.
An Unsupervised Rotating Machinery Fault Diagnosis Method Based on Multi-Scale Feature Residual Neural Network
Authors: Li Xueyi , Yuan Peng , Yu Tianyu , Li Daiyou , Xie Zhijie , Kong Xiangwei
Published: December 2023

In complex settings, noise affects rotating parts like bearings and gears, weakening fault signals and complicating feature selection, resulting in redundancy. To address this, a multi-scale residual neural network is proposed for machinery fault diagnosis with domain adaptation. Using residual connections, it fuses vibration signal features from a multi-scale network for a global view. The method employs maximum mean discrepancy and entropy boundaries for adaptation, enhancing signal classification. Successful unsupervised cross-domain fault diagnosis is shown in experiments. Future work aims to refine the network architecture and enhance generalization through advanced data augmentation.
Euler–Darboux the spatial analogue equation with strong degeneracy
Authors: Dolgopolov Mikhail , Elisov Maksim , Rodionova Irina
Published: December 2023

On the set Ω, which is a prism bounded by the planes y=x, y=0, x=h, z=0, z=h (h>0), a spatial analogue of the Euler–Darboux–Poisson equation is considered with two parameters taking values 1) α=1, 0 < β < 1; 2) α=1, 1 < β < 2; 3) α=1, −1 < β < 0. The singularity plane of the coefficients of the equation z = x − y divides the set Ω into two subregions, in which for each of the three cases: a) a general solution to this equation is constructed; b) problems with boundary conditions on the plane z = x − y were formulated and solved (modified Cauchy problems); c) on the set Ω, a boundary value problem was solved with data on adjacent faces of the prism and matching conditions on the internal plane z = x − y.
Mesoporous La0.8Sr0.2MnO3/P-COK-12 catalyst synthesized by template method:Highly active for the complete oxidation of CO
Authors: Huang Xuehui , Hu Xiangao , Deng Penghui , Chen Wenzhen
Published: December 2023

In this study, an environmentally friendly mesoporous material called COK-12 was created using inexpensive sodium silicate as a silica source and surfactant P123 as a soft template. COK-12 was then modified with p-xylene to produce a template called P-COK-12, which had a compact and well-ordered pore structure. For the first time, this modified mesoporous material was used as a template to prepare a mesoporous La0.8Sr0.2MnO3 (LSM) catalyst through a combination of the nano-casting and sol-gel methods. The results showed that the LSM-550 catalyst, synthesized at 550 °C for 2 hours, had a large specific surface area of 72.11 m2/g and the highest molar ratio of surface Mn4+/Mn3+ and Oads/Olat. Additionally, the CO conversion results for different LSM-T samples (T=550, 600, 650, 700 °C) indicated that the LSM-550 sample exhibited the best catalytic activity, with T50 of 180 °C and T90 of 218 °C, as well as excellent stability.
Scholarly recommendation system for NIH funded grants based on biomedical word embedding models
Authors: Zhang Zitong , Yaseen Ashraf , Wu Hulin
Published: December 2023

Objective
Research grants, which are available from several sources, are essential for scholars to sustain a good standing in academia. Although securing grant funds for research is very competitive, being able to locate and find previously funded grants and projects that are relevant to researchers’ interests would be very helpful. In this work, we developed a funded-grants/projects recommendation system for the National Institute of Health (NIH) grants.
Methods
Our system aims to recommend funded grants to researchers based on their publications or input keywords. By extracting summary information from funded grants and their associated applications, we employed two embedding models for biomedical words and sentences (Biowordvec and Biosentvec), and compare multiple recommendation methods to recommend the most relevant funded grants for researchers’ input.
Results
Compared to a baseline method, the recommendation system based on biomedical word embedding models provided higher performance. The system also received an average rate of 3.53 out of 5, based on the relevancy evaluation results from biomedical researchers.
Conclusion
Both internal and external evaluation results prove the effectiveness of our recommendation system. The system would be helpful for biomedical researchers to locate and find previously funded grants related to their interests.
Research on the applicability of regularization methods in ship magnetic field modeling based on magnetic dipole arrays
Authors: LU Binjie , Zhang Xiaobing
Published: December 2023

In order to solve the problem of ship magnetic field modeling, a magnetic dipole array model was established, a modeling inversion equation system was constructed, and the degree of sickness of the solved equation system under different numbers of magnetic dipoles was quantitatively analyzed based on the coefficient matrix conditional number. In order to solve the problem of the pathological system of magnetic field modeling equations, a regularization method based on the conjugate gradient least squares method was designed to invert the magnetic moment parameters of the magnetic dipole. In order to analyze the applicability of the regularization method in magnetic field modeling inversion, the modeling accuracy, modeling robustness, calculation time and other metrics are defined. A detailed test of the ship model was designed, and the magnetic field passing characteristics of the two types of ship models at different positive and horizontal conditions at two depths were measured. Under the condition of no interference and interference, the conjugate gradient least squares method is used to invert the magnetic field model, and the numerical test analysis shows that the conjugate gradient least squares method has higher applicability than the generalized inverse solution method and the stepwise regression method. Under the condition of interference, the relative error of magnetic field fitting of the array model with 15 magnetic dipoles is 0.1537, and the relative error of magnetic field extrapolation is 0.0868.
Novelty and Innovation: Enhancing Shrimp Harvesting Efficiency and Quality Through Centrifugal Extraction and Pipe Transportation
Authors: thoetrattanakiat songphon , Samseemoung Grianggai , Sangpradit Kiattisak
Published: December 2023

The innovative integration of a Centrifugal Shrimp Harvester into closed pond aquaculture systems represents a significant advancement in aquaculture technology. This study introduces and assesses the efficiency of the harvester in comparison to manual harvesting methods, examining parameters such as shrimp quality, loss rates, and harvesting speed. Particularly noteworthy is the incorporation of shrimp transportation through a pipeline, introducing a novel dimension that amplifies the transformative potential of the technology. Results underscore that the Centrifugal Shrimp Harvester outperforms manual methods, achieving an impressive yield rate of 3338 kg/hour with a minimal loss rate of 0.01%. While the technology shows promise in increasing productivity and minimizing shrimp damage, a more in-depth investigation is necessary to assess its economic viability, including operational costs and labor expenses. The study not only illuminates the transformative potential of the Centrifugal Shrimp Harvester but also emphasizes the necessity for ongoing research to ensure its practical application in real-world aquaculture settings. The Centrifugal Shrimp Harvester emerges as a transformative force in aquaculture, featuring innovative features and superior performance. It has the potential to revolutionize shrimp harvesting practices, contributing to more sustainable and efficient aquaculture production.
Modeling Non-Homogenous Poisson Process and Estimating the Intensity Function for Earthquake Occurrences in Iraq using Simulation
Authors: Fatah Khwazbeen Saida
Published: December 2023

The Non-homogeneous Poisson Process, with time dependent intensity functions, is commonly used to model the scenarios of counting the number of events that appear to take place in a given time interval. The identification of the process relies on the functional form for the intensity function, which can be difficult to determine. In this paper, a Non-Homogenous Poisson Process model is proposed to predict the intensity function for the number of earthquake occurrences in Iraq; the constructed model allows anticipating the number of earthquakes occur at any time interval with a specific time length. Then, to estimate the model parameters, the data obtained from the annual reports of the Iraqi Meteorological Organization and Seismology (IMOS) from January, 1st 2018 to May, 1st 2023 is used. Moreover, a simulation study is conducted and a new algorithm is introduced to show the performance and the applicability of the proposed model.
A surgical resection case of myxoma arising from the posterior wall of the left atrium complicated with complete atrioventricular block
Authors: Sakakibara Satoshi , Yamauchi Takashi , Ohmori Takahiro
Published: December 2023

An 80-year-old female was referred to our institution due to transient right upper limb weakness. Transthoracic and transesophageal echocardiography revealed a tumor in the left atrium. The tumor was attached to the posterior wall of the left atrium near the atrioventricular node. Intraoperative pathological examination revealed that the tumor was a myxoma, and complete resection was successfully performed. However, she experienced persistent complete atrioventricular block postoperatively and required pacemaker implantation.
A Comparative Study of Malicious URL Detection: Regular Expression Analysis, Machine Learning, and VirusTotal API
Authors: Misquitta Jason , K Anusha
Published: December 2023

In this paper, malicious URL detection was done in 3 ways. In the first method, self-written code was used that breaks up the URL into several fragments and then using functions and checkers analyses whether the URL is malicious. The second approach involved utilizing a fixed csv dataset containing website URLs from over 11,000 websites. Each entry in the dataset included 30 parameters describing the website and a class label indicating whether it was classified as a phishing website (1) or not (-1). 9 machine learning models were compared on this dataset to see which models gave the highest accuracy and F1-score. The last method was done using VirusTotal API Key. The user has to input the URL of a website and the code classifies it as malicious or not. A report is also generated if the URL is detected as malicious. The report is a compilation of the analysis of that website by several security vendors.