bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Use of Artificial Intelligence in Personalizing Marketing Campaigns
Authors: Wilson George , Johnson Oliver , Brown William
Published: August 2024

This research explores the transformative impact of artificial intelligence (AI) on personalizing marketing campaigns, highlighting how AI technologies are reshaping modern marketing practices. AI tools such as machine learning, natural language processing (NLP), predictive analytics, deep learning, and computer vision are integral to enhancing customer engagement and optimizing marketing strategies. Machine learning algorithms enable precise customer segmentation and personalized recommendations, leading to more targeted and effective marketing messages. NLP facilitates the analysis of customer sentiment and enhances communication through advanced language processing and AI-powered chatbots. Predictive analytics and deep learning provide businesses with the capability to forecast customer behaviors and recognize complex data patterns, further refining marketing efforts. Computer vision technology contributes to personalization through innovations like visual search and augmented reality, creating immersive customer experiences. Despite the numerous benefits, the adoption of AI in marketing presents several challenges. Data privacy and security concerns, integration complexities, and the potential for algorithmic bias are critical issues that need to be addressed. Ethical considerations, including transparency and fairness in data usage, are also paramount to maintaining customer trust and ensuring responsible AI application. The future of AI in marketing promises continued advancements, with trends such as hyper-personalization and enhanced integration with technologies like the Internet of Things and voice search expected to drive further innovation. Overall, AI significantly enhances marketing effectiveness by offering tailored solutions and strategic insights while necessitating a thoughtful approach to ethical and practical challenges.
Florence Nightingale on Rural Health Management: Health Missioners and their contribution to Public Health
Authors: Cordeiro-Rodríguez Mónica , López-Vallecillo María , Paz Félix de
Published: August 2024

Background: The Victorian era in Great Britain was a historical period that brought about profound changes for humanity. The confluence of various factors fostered the development of numerous scientific disciplines. In the field of health sciences, Florence Nightingale played a central role. Following her training as a nurse and her role as superintendent during the Crimean War, she made decisive contributions to establishing a public health network. Methods: This is a retrospective historical heuristic and hermeneutic study analyzing documentation of Nightingale's contributions to public health from around 1890 to 1900. The historical method was used to collect, classify, and analyze primary and secondary sources relevant to the study's objectives. Results: Nightingale supported the development of the concept of “health at home” by training women to implement healthy measures that contributed to the well-being of families and communities. Through the training and development of a formal “Health Missioners program”, she provided the necessary guidance to improve the health of rural communities across the English countryside. Conclusion: The role of Health Missioners has persisted, as health visitors continue to visit homes in the United Kingdom. Therefore, the contribution of Florence Nightingale to public health is unquestionable. This study was not registered.
Stress Factors Affecting the Development of Vairimorpha (Nosema) spp. Disease in Bee Colonies
Authors: Sabolová Beáta , Kandráčová Petra , Sučik Monika
Published: August 2024

Microsporidia are intracellular parasites infecting a wide range of vertebrates and invertebrates. In bees, they cause a diarrheal disease called nosematosis, which represents a growing problem contributing to the decline of bee colonies. This parasitic disease infects the gastrointestinal tract of bees, disrupts their immune system, weakens them, and shortens their lifespan. There are two known species of this microsporidial parasite with a global distribution: Vairimorpha apis and Vairimorpha ceranae, with current research indicating that the species V. ceranae is gradually replacing V. apis. In this study, we focused on the detection and occurrence of Vairimorpha spp. in bee colonies kept in different environments, as well as on comparing the impact of hive location on its occurrence. The methods used included sampling from winter bee carcasses, microscopic examination of bee gut contents, and subsequent molecular duplex PCR analysis. Altogether, we examined 82 hives located at 4 different sites and focused on the impact of transportation as an abiotic factor disturbing bees leading to the development of Vairimorpha spp. disease. The results indicate an increased occurrence of this parasite in hives located in urban sites and hives situated in intravillage locations, which may be attributed to transportation and associated vibrations as an abiotic stress factor. Detection revealed that all samples were positive for Vairimorpha ceranae.
Understanding Customer Satisfaction Based on Experience with Subscription Video on Demand (SVoD)
Authors: Murti Aji kresno , Muna Nalal , Dewi Erlita Khrisinta , Hidayatullah Alif Naufal
Published: August 2024

This research aimed to discover how to create a customer experience that includes FEEL, SENSE, THINK, ACT, and RELATE to increase satisfaction with the Subscription Video on Demand (SVoD) application. A descriptive quantitative method was used, and the sample was 423 respondents in Indonesia who had used the application for at least 1 month. Furthermore, this research used probability sampling using a technique for random sampling. Based on the data available, experience accounted for 0.509, or 50.9%, of the application satisfaction. With a beta value of 0.295, the FEEL variable was the only one in this study to significantly and positively affect customer satisfaction; the other variables, SENSE, THINK, ACT, and RELATE, had no discernible effects. It is anticipated that the theoretical foundation provided by this research will be beneficial to the entertainment industry, particularly the SVoD application sector. This includes the product and service development division that focuses on customer inner feelings and emotions.
The Use of Tramadol as Part of Multimodal Analgesic Approach to Noxious Stimulation in Female Dogs during Ovariectomy Procedures
Authors: Vieira Patrícia , Paralta Michelle , Ferreira David
Published: August 2024

This study aims to evaluate tramadol’s effect during elective ovariectomy in female dogs under general anesthesia with isoflurane, premedicated with 0.025 mg/kg medetomidine IM, 0.2 mg/kg methadone IM and 2 mg/kg ketamine IM. Seventeen female dogs were divided into control (CG) and tramadol (TG) groups. Dogs in the TG also received a 4 mg/kg IV tramadol bolus one minute prior to skin incision. Heart rate (HR), systolic blood pressure, and mean blood pressure were recorded at baseline, skin incision, traction (T1) and clamping (T2) of the right ovarian pedicle, and traction and clamping of the left ovarian pedicle. Tramadol caused a 39.8% (p<0.05) and a 31.9% (p<0.05) HR increase at T1 and T2, respectively, when compared to the CG, which lasted a maximum of eight minutes. Although tramadol has a potential positive chronotropic effect, it can safely provide additional intraoperative analgesia before intense noxious stimuli, for at least seven minutes.
AI-Powered Educational Data Analysis for Early Identification of Learning Difficulties
Authors: Wang Chun , Zou Jianke , Xie Ziyang
Published: August 2024

Based on the detailed exploration of AI techniques for the early identification of learning difficulties in education, this study underscores the pivotal role of educational data analysis in enhancing student outcomes. Educators can proactively identify and address learning challenges through systematic data collection and analysis, thereby minimizing long-term academic obstacles and emotional stress. The integration of AI, particularly through natural language processing and computer vision technologies, facilitates personalized learning paths and real-time interventions, offering tailored support that maximizes each student's learning potential. These advancements optimize educational resource allocation and foster a more inclusive and effective learning environment, paving the way for future advancements in personalized education and intelligent teaching practices.
Estimation of Empirical Models for Margins of Exports with Unknown Non-linear Functional Forms: A Kernel-Regularized Least Squares (KRLS) Approach
Authors: Wagner Joachim
Published: August 2024

Empirical models for intensive or extensive margins of trade that relate measures of exports to firm characteristics are usually estimated by variants of (generalized) linear models. Usually, the firm characteristics that explain these export margins enter the empirical model in linear form, sometimes augmented by quadratic terms or higher order polynomials, or interaction terms, to take care or test for non-linear relationships. If these non-linear relationships do matter and if they are ignored in the specification of the empirical model this leads to biased results. Researchers, however, can never be sure that all possible non-linear relationships are taken care of in their chosen specifications. This note uses for the first time the Kernel-Regularized Least Squares (KRLS) estimator to deal with this issue in empirical models for margins of exports. KRLS is a machine learning method that learns the functional form from the data. Empirical examples show that it is easy to apply and works well. Therefore, it is considered as a useful addition to the box of tools of empirical trade economists.
A generalisation of Pythagoras’ theorem
Authors: Mantz Christiaan
Published: August 2024

We provide a generalisation of Pythagoras’ theorem, which enables us to calculate the absolute value of a hypersurface of arbitrary dimensions in terms of its projections. For a one dimensional hyperplane the theorem reduces to Pythagoras’ theorem.
Understanding the Role of Chatbots in Enhancing Customer Service
Authors: Brown William , Wilson George , Johnson Oliver
Published: August 2024

This study explores the role of chatbots in enhancing customer service, examining their benefits, limitations, and overall impact on modern support systems. Chatbots have emerged as a transformative technology in customer service, offering significant advantages such as increased efficiency through automation of routine tasks, reduced response times, and the ability to provide 24/7 support. By handling high volumes of inquiries and managing repetitive tasks, chatbots alleviate the workload of human agents, allowing them to focus on more complex issues. Additionally, chatbots employ advanced data analytics and machine learning to deliver personalized interactions, enhancing user engagement and satisfaction. Despite these benefits, the research identifies several challenges, including chatbots' difficulty in managing complex queries and their lack of emotional intelligence, which often necessitates escalation to human agents. The study also highlights the importance of well-designed chatbots and seamless integration with existing systems to ensure effective user experiences. Privacy and security concerns are critical, as chatbots handle sensitive customer data, requiring robust measures to protect against breaches and ensure compliance with data protection regulations. Looking ahead, advancements in technologies such as augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) are expected to further enhance chatbot capabilities, addressing current limitations and expanding their role in customer service. The findings suggest that a hybrid approach, combining chatbots with human support, offers the most effective solution for delivering high-quality customer service. Overall, chatbots have proven to be valuable assets, and their continued evolution promises to significantly impact the future of customer service.
Towards early cancer detection: the use of Caenorhabditis elegans chemotaxis to distinguish patient urine from that of healthy individuals
Authors: Kaiglová Alžbeta , Hockicková Patrícia , Bárdyová Zuzana , Reháková Radka , Melnikov Kamila , Kucharíková Soňa
Published: August 2024

The nematode Caenorhabditis elegans, with its highly sensitive olfactory system, has emerged as a promising tool for testing chemotaxis. In the field of cancer diagnostics, there is a growing interest in the development of non-invasive screening methods for the detection of volatile organic compounds in a patient's urine. The objective of this study was to contribute to the existing body of knowledge by evaluating the ability of a Caenorhabditis elegans-based chemotaxis assay to discriminate between urine samples from healthy individuals and patients diagnosed with breast or colon cancer. Following synchronization of the developmental stages of C. elegans, nematodes were exposed to the urine of cancer patients and healthy individuals. Subsequently, chemotactic indices were calculated for each urine sample. Our results demonstrated a statistically significant difference in the chemotactic response of C. elegans to urine samples from cancer patients compared to healthy volunteers (p < 0.001). Moreover, the test exhibited promising diagnostic utility, with a sensitivity of 98%, a specificity of 62%, and a detection rate of 78%. Our findings expand on previous observations, confirming the remarkable sensitivity of C. elegans hermaphrodites to discriminating cancer-related volatile organic compounds in urine samples.
Prevalence of Sarcopenia and its Related Clinical Factors in Postmenopausal Women with Type-1 Osteoporosis
Authors: Raza Ali Muslim , Mansoor Aqsa , Zahra Syeda Amber
Published: August 2024

Background: Sarcopenia is a progressive muscle disorder characterized by muscle wasting, decreased strength, and a substantially elevated risk of developing severe and potentially life-threatening health complications. For decades, muscle wasting has been recognized as a clinical symptom in various severe diseases and conditions. However, with increasing life expectancy and an aging population, sarcopenia has emerged as a prominent age-related condition in primary care, significantly contributing to disability and mortality rates.
Aim and Objective: Our goal was to elucidate the clinical characteristics associated with sarcopenia prevalence in postmenopausal women with type 1 osteoporosis.
Methodology: 370 postmenopausal osteoporosis patients who routinely visited the physiotherapy department at Ali Fatima Hospital were examined in this cross-sectional investigation. Mean age 64.59 ± 5.85 years, it was discovered that the patients' quality of life, postural stability, muscular strength, and balance were related to the existence of sarcopenia.
Conclusion: In summary, among postmenopausal female patients with type 1 osteoporosis, the incidence of sarcopenia was relatively high (90.35%), affecting quality of life in 39.82% of patients, postural instability in 92.21% of patients, and balance in 39.92% of patients.
Chemical and Electrochemical Coagulation of Wastewater from UCG
Authors: Szul Mateusz , Rychlewska Katarzyna , Iluk Tomasz , Billig Tomasz
Published: August 2024

This article compares chemical coagulation with electrocoagulation, two popular methods for the primary treatment of wastewater generated in the process of Underground Coal Gasification (UCG). The primary aim was to determine which method is more effective in the removal of cyanide and sulphide ions, metals and metalloids, as well as organic compounds. In both cases, experiments were conducted in batch 1 dm³ reactors, and the coagulation/flocculation process was carried out using iron ions. Four types of coagulants were tested during the chemical coagulation study: FeCl₂, FeSO₄, Fe₂(SO₄)₃, and FeCl₃. In the electrocoagulation experiments, pure iron Armco steel was used to manufacture the sacrificial iron anode. Both processes were tested under a wide range of operating conditions (pH, time, Fe dose) to determine their maximum efficiency for treating UCG wastewater. It was found that, through electrocoagulation, a dose as low as 60 mg Fe/dm³ leads to >60% cyanide reduction and >98% sulphide removal efficiency, while for chemical coagulation, even a dose of 307 mg Fe/dm³ did not achieve more than 24% cyanide ion removal. Moreover, industrial chemical coagulants, especially when used in very high doses, can be a substantial source of cross-contamination with trace elements.
Study of the Properties of Ethylene-Propylene Copolymers and Polymers with Functional Groups of a Mixture
Authors: Shixaliyev Kerem seyfi , Emirli Fariz ali
Published: August 2024

In this work, the properties of a composition based on synthetic rubber ethylene-propylene ter-polymer and polymers with functional groups of the mixture are studied. Low efficiency of some compositions based on ethylene and propylene copolymer limits their use in the production of tires and rubber products. Therefore, we conducted a study to improve the disadvantages of SREPT-60 using butyl rubber + choro polyisoprene + butadiene-nitrile + butadiene styrene rubber and adding a plasticizer to the composition = α, methacrylate-(bis-diethylene glycol phthalate) -(btegf-9) The data obtained showed that a number of its indicators of rubber based on them were improved. Tear resistance, resistance to repeated stretching increased, adhesion of the composition to metal, chemical resistance increased, the degree of swelling in benzene and gasoline-benzene mixture decreased. Compositions based on the mixture SREPT-60 using butyl rubber + choro polyisoprene + butadiene-nitrile + butadiene styrene rubber and adding a plasticizer to the composition = α, methacrylate-(bis-diethylene glycol phthalate) -(btegf-9) +Dioctyl phthalate: (70:20:10) have high resistance to swelling in an aggressive environment (Benzene, gasoline, alcohol, acid, oil, etc.) mixture.
Study on Carbon Reduction Strategies of Rural Residential Buildings in Gannan Tibetan Area, China
Authors: Yang Jingjing , Zhang Xilong
Published: August 2024

Heating stage accounts for the largest proportion of building carbon emissions. In order to figure out heating situations of rural residential building in Gansu Province, Gannan region was selected to carry out on-site survey on heating condition including heating mode, energy used for heating, heating fees, residents’ satisfaction on heating and thermal environment of typical building. The results showed that local rural residents burnt scattered coal for heating with primitive heating stove with high heating cost and low efficiency, causing low air temperature and high heating fees. Besides carbon emissions caused by heating reached 5743.28 kgCO2em-2, Several strategies for improving the heating effect and reducing carbon were proposed taking economic benefits into consideration limited by rural economic development. A parameter of reduced carbon emissions per investment input was proposed to evaluate the carbon reduction strategies. Results showed that Biomass was the most economical way to reduce the carbon emissions, followed by thermal insulation design, natural gas furnace and air source heat pumps for heating, and it was not reasonable to blindly increase building insulation to reduce building carbon emissions. The optimum energy efficiency was 55% in Gannan. The results provided reference for building low-carbon design in rural areas, helped achieving low carbon goal with low investment.
The Effect of Delayed Cranioplasty in Patient with Long-Term Disorders of Consciousness: Case Report and Literature Review
Authors: Contrada Marianna , Scarfone Federica , Raso Maria Girolama , Lucca Lucia Francesca , Cerasa Antonio , Pugliese Maria Elena
Published: August 2024

Cranioplasty (CP) is the main surgical procedure aimed at reproducing a structural or morphological defect of the skull. It has been shown that cranioplasty can be useful for patients with traumatic brain injury (TBI) to achieve functional cognitive and motor improvements. Here, we describe a patient with long-term severe TBI who recovered consciousness following delayed CP. We found that a delayed CP may result in a meaningful functional recovery with emergence from a minimally conscious state and recovery of functional communication, even more than a year after decompressive craniectomy. Delayed intervention is equally successful in promoting functional recovery in long-term TBI patients, as early CP has already shown.
Human-Machine Teams: Advantages Afforded by the Quantum-Likeness of Interdependence
Authors: Lawless William , Moskowitz Ira
Published: August 2024

Big data is considered to be the solution to many complex problems, but its application appears to be relegated to the problems that are factorable (e.g., the tensor-like operations which reflect separable elements), not the non-factorable data from teamwork, team intelligence, and possibly not individual consciousness. In contrast, the quantum likeness of interdependence is set apart from the standard science of teams by recognizing a measurement problem between a team and its individual teammates, and between individual beliefs and actions. Teams that concern us are based on artificial intelligence (AI) and machine learning (ML) systems, which we find lacking for two reasons. First, neither AI nor ML models the human's timeless need for debate to solve a problem at the social level when facing uncertainty or complexity, where the debate of proposed actions serves to establish the boundaries of a problem in reality, no matter how complex nor uncertain. Second, at the individual level exists the illusion of a unified reality propagated by a bifurcated brain that we assume is split to determine a context with narrative and bounded spaces. We hypothesize that the quantum-likeness of interdependence applied to autonomous human-machine teams suggests that at the social level, debate models an individual's bifurcated brain, providing advantages for human-machine teams in freer systems over those oppressed by command and control systems (e.g., authoritarian regimes). Human-machine teams are coming, but they are not yet available, forcing us to rely on data from human systems. We close with plans for future research.
Simplifying Submandibular Duct Sialolith Removal Using Diode laser: Description of the Technique and Literature Review
Authors: D’Albis Giuseppe , Forte Marta , Girone Giorgia , Vittoli Massimiliano , Bucci Rosa , Tullio Flavia De , Capodiferro Saverio
Published: August 2024

Background: Introduction of new technologies in the management of oral disease has revolutionized treatment approaches, offering less invasive options and improved patient outcomes. Among oral cavity diseases, sialolithiasis is the most common disorder of the salivary glands. It involves the formation of calculi or stones within the salivary ducts, primarily affecting the submandibular gland due to its tortuous duct and the alkaline nature of its saliva. In particular, Laser-assisted techniques have shown significant promise in enhancing the precision and safety in the management of sialolith removal. This article aims to present a case report and also explores the scientific evidence supporting these innovative methods, highlighting their benefits and limitations in clinical practice.; Methods: The research was conducted using PubMed and Scopus search engines with a combination of relevant keywords, including laser, laser-assisted, laser treatment in combination with sialolith, sialolith removal, and sialoadenectomy. Selected articles were carefully reviewed to identify studies reporting data on the effectiveness of laser-assisted sialolith removal; Results: The results of the literature review indicate a growing interest in the application of Diode Laser and CO2, with evidence suggesting improved clinical outcomes and reduced postoperative pain compared to traditional methods; Conclusions: Although lasers offer enhanced safety and reduced morbidity and bleeding, which ensures optimal visibility, their high cost and the need for specialized training are limitations. Further randomized clinical trials and longer follow-up studies are needed to better evaluate their use in sialolith removal.
7E Learning Cycle Based Interactive Learning Media as Alternative Teaching Material in Vocational High Schools
Authors: Mahendra I Gede Budi , Rapar Jocke Jonathan , Killis Billy , Memah Viverdy
Published: August 2024

A high-quality learning process is crucial for enhancing the competitiveness of graduates in the professional world. Teaching materials such as Interactive Learning Media have an important role in enabling students to gain knowledge and be actively involved in learning activities. The objective of this study is to develop, evaluate the feasibility, and determine the impact of implementing 7E Learning Cycle Based Interactive Learning Media. This research followed the R&D approach using the ADDIE model. The research subjects included 2 material experts, 2 media experts, 2 language experts, 36 XI TITL students, and 2 subject teachers determined by purposive sampling. The research instrument uses interview guidelines, questionnaire sheets and test questions. Data collection was conducted through interviews, questionnaires and tests. The research findings indicate that 7E Learning Cycle Based Interactive Learning Media is very valid, with a validity level of 85% according to media experts, 79% according to subject matter experts, and 79% according to language experts. The practicality test yielded results of 82% for students and 87% for teachers, falling under the category of "very practical." The evaluation results demonstrated an average score increase of 6.29. It is recommended that students utilize the 7E Learning Cycle Based Interactive Learning Media to facilitate meaningful learning experiences, foster critical thinking skills, promote independence, and enhance conceptual understanding of the subject matter. Furthermore, subject teachers are encouraged to utilize the outcomes of this Interactive Learning Media Development as a framework for developing teaching materials on other topics.
PERBANDINGAN PERINGKASAN MULTI DOKUMEN ILMIAH BERBAHASA INDONESIA MENGGUNAKAN METODE K-MEANS DAN K-NEAREST NEIGHBORS (K-NN)
Authors: Roza Yuniza Putri  , Widodo  , Hamidillah Ajie
Published: August 2024

Dalam menyusun penelitian, dokumen ilmiah dibutuhkan sebagai salah satu sumber data yang dapat dipertanggungjawabkan. Namun dalam menentukan informasi utama, pembaca mengalami kesulitan untuk mendapatkan kesimpulan dari beberapa dokumen ilmiah. Peringkasan multi dokumen ilmiah berfungsi untuk memudahkan pembaca dalam memahami dan mendapatkan kesimpulan dari beberapa dokumen ilmiah. Ada banyak metode yang bisa digunakan untuk peringkasan multi dokumen ilmiah, salah satunya adalah metode K-Means dan K-Nearest Neighbors (K-NN). Penelitian ini bertujuan untuk mengetahui dan menganalisa perbandingan kinerja peringkasan multi dokumen ilmiah berbahasa Indonesia menggunakan metode K-Means dan K-Nearest Neighbor (K-NN). Bahan penelitian yang digunakan adalah dokumen ilmiah berbahasa Indonesia sebanyak 30 dokumen dengan topik yang sama tentang “Sistem Informasi Perpustakaan”. Dokumen ilmiah diproses menggunakan tools NLTK dan Sastrawi, kemudian hasil peringkasan metode K-Means dan K-Nearest Neighbors (K-NN) dievaluasi dengan metode ROUGE. Pengujian metode K-Means pada ROUGE-1 dan ROUGE-2 menunjukkan hasil optimal sebanyak 30 dokumen dengan tingkat peringkasan sebanyak 15 kalimat. Pada ROUGE-1 diperoleh nilai presisi 0.391, recall 0.277, dan f-measure 0.324. Kemudian pada ROUGE-2, diperoleh nilai presisi 0.067, recall 0.048, dan f-measure 0.056. Sedangkan pada metode K-Nearest Neighbors (K-NN) pada ROUGE-1 dan ROUGE-2 menunjukkan hasil optimal sebanyak 10 dokumen dengan tingkat peringkasan 15 kalimat. Pada ROUGE-1 diperoleh nilai presisi 0.362, recall 0.296, dan f-measure 0.326. Kemudian pada ROUGE-2, diperoleh nilai presisi 0.045, recall 0.037, dan f-measure 0.045. Dapat disimpulkan bahwa metode K-Means memiliki kinerja yang lebih baik jika dokumen yang digunakan relatif lebih banyak. Sebaliknya, metode K-Nearest Neighbors (K-NN) memiliki kinerja yang lebih baik jika dokumen yang digunakan relatif lebih sedikit.
PERANCANGAN E-COMMERCE BERBASIS WEBSITE PADA TOKO REIMA COLLECTION
Authors: Anwar Syaifudin  , Diat Nurhidayat  , Ze. Ferdi Fauzan Putra
Published: August 2024

Penjualan produk secara online dapat dilakukan karena dalam dunia internet saat ini telah tersedia layanan Website yang dapat memberikan layanan berbelanja atau berdagang secara online. Toko Reima Collection memiliki permasalahan dalam manajemen produk yang masih dilakukan secara manual, belum ada data pelanggan yang terdata dengan baik dan proses transaksi pada Toko Reima Collection masih dalam bentuk fisik dan tidak adanya backup data transiksi sehingga rawan terjadinya kehilangan data. Tujuan dari penelitian ini adalah menghasilkan Website e-commerce  untuk melakukan manajemen produk, manajemen pelanggan dan transaksi pada Toko Reima Collection. Dalam Perancangan E-commerce  Berbasis Website Pada Toko Reima Collection ini menggunakan metode spiral dengan melakukan wawancara dan studi literatur. Wawancara menghasilkan kebutuhan fungsional, selanjutnya melakukan perancangan database, membuat Skenario use case, membuat use case Diagram, class Diagram dan activity Diagram. Adapun implementasi Website menggunakan framework Codeigniter dan framwork Bootstrap. Pengembangan Website ini dilakukan dengan pengujian black box test dan user acceptance test. Website e-commerce  ini dapat menjadi solusi dalam manaemen produk , manajemen pelanggan, manajemen transaksi dan penjualan produk pada Toko Reima Collection.
PERANCANGAN USER INTERFACE APLIKASI MOBILE STOCK OPNAME PERPUSTAKAAN UNIVERSITAS NEGERI JAKARTA BERBASIS USER EXPERIENCE DENGAN METODE LEAN UX
Authors: Calvin Putera Loka  , Hamidillah Ajie  , Murien Nugraheni
Published: August 2024

Perpustakaan Universitas Negeri Jakarta belum memiliki sebuah aplikasi yang khusus untuk menangani kegiatan stock opname yang mampu untuk meringankan beban pegawai perpustakaan. Penggunaan barcode scanner dirasa kurang begitu efektif karena penggunaan alat yang terbatas. Kesalahan dalam pendataan stock opname dan penetapan status koleksi buku juga rawan terjadi. Untuk memudahkan petugas perpustakaan dalam melakukan stock opname dibutuhkan sebuah aplikasi yang dapat memudahkan mereka. Aplikasi tersebut tentu harus memenuhi kebutuhan dan sesuai dengan karakteristik pengguna agar dapat digunakan dengan mudah. Penelitian ini menggunakan User Experience dengan metode Lean UX untuk merancang sebuah tampilan aplikasi mobile stock opname perpustakaan Universitas Negeri Jakarta, kemudian pengujian dilakukan dengan Thinking Aloud testing. Pengujian yang dilakukan mendapatkan hasil bahwa rata-rata penyelesaian 42 task yang ada terhadap 5 penguji sebesar 96%. 4 penguji menyelesaikan sebesar 95% dan 1 penguji menyelesaikan sebesar 100%. Pada hasil ini juga mendapatkan respon sebagian besar yang berdominan positif. Maka dapat disimpulkan bahwa hipotesis yang sudah dirancang diawal sudah sesuai dengan kebutuhan pengguna.
PENGEMBANGAN MEDIA PODCAST PEMBELAJARAN JARAK JAUH PADA EKSTRAKURIKULER PRAMUKA DI SMP NEGERI 187 JAKARTA
Authors: Fana Sumarna  , Diat Nurhidayat  , Yuliatri Sastrawijaya
Published: August 2024

Media pembelajaran berbasis podcast  untuk ekstrakurikuler Pramuka pada materi sandi morse belum ada dan perlu dikembangkan. Penelitian ini bertujuan menghasilkan produk berupa podcast  untuk ekstrakurikuler Pramuka.  Penelitian ini dikembangkan menggunakan model ADDIE dengan lima tahap , yakni Analyze, Design, Development, Implementation, Evaluation. Pengembangan podcast  ini dilakukan dengan melalui beberapa tahap pengujian, yaitu pengujian terhadap Ahli Materi, pengujian terhadap Ahli Media, dan pengujian terhadap Responden Siswa.  Hasil pengujian dari ahli materi menghasilkan skor rata-rata 3,45 dengan kategori “Sangat Baik” dan pengujian ahli media menghasilkan skor rata-rata 3,75 dengan kategori “Sangat Baik”. Sedangkan pada uji responden, menghasilkan skor rata-rata yakni 3,78 yang berarti pengembangan media podcast   pembelajaran jarak jauh pada ekstrakurikuler Pramuka di SMP Negeri 187 Jakarta dikategorikan “Sangat Baik”. Berdasarkan proses dan prosedur dalam mengembangkan podcast  pembelajaran serta pengujian yang telah dilakukan dapat dinyatakan bahwa produk ini memiliki kualitas “Sangat Baik” dan dapat digunakan untuk media pembelajaran oleh peserta didik yang mengikuti ekstrakurikuler Pramuka di SMP Negeri 187 Jakarta.
The Classic Tidally Influenced, Marginal-Marine Deposits of the Late Cretaceous Bearpaw to Horseshoe Canyon Formation Transition, Drumheller, Alberta: Volume 1
Authors: Ainsworth R. Bruce , Vakarelov Boyan K. , MacEachern James A.
Published: August 2024

The Upper Cretaceous Horseshoe Canyon Formation deposits near Drumheller, Alberta, Canada form world-class exposures of tidally-influenced, marginal marine to shoreline depositional environments. These outcrops have represented a fundamental training ground for generations of Canadian and international geoscientists. The compilation of work in this publication is the product of seven years of study by WAVE Consortium geoscientists. The WAVE Consortium was an industry-funded research collective run by the Australian School of Petroleum & Energy Resources, University of Adelaide between 2008 and 2014. The work integrates interpretations of outcrop observations with core descriptions and wireline log data to generate depositional models. These models were then convolved into 3D reservoir models from which synthetic seismic volumes were generated. This digital resource is provided in three parts: A) A Field and Core Guide: Volume 1, B) A Core and Outcrop Facies and Ichnology Guide: Volume 2, C) Posters - which can be downloaded from the SEPM Supplemental Materials Website.
Experimental and Simulation Investigations of Proppant Transport and Distribution Between Perforation Clusters in a Horizontal Well
Authors: Qu Hai , Zeng Zhijun , Liu Ying , Zhou Mengmeng , Liu Xu , Lu Zhitian , Wang Shi , Liu Xiaodong , Chen Xiangjun
Published: August 2024

Multistage hydraulic fracturing is widely used to stimulate tight reservoirs by means of plug and perforation technology. The proppant distribution between perforation clusters significantly impacts fracture conductivity and well productivity. Uneven slurry distribution is often the norm rather than the exception. Proppant transport behaviors and distribution characteristics are still poorly understood in a horizontal wellbore with clusters, especially at field scales. The objective is to propose an innovative and feasible method to quantitatively evaluate the distribution uniformity of proppant between clusters.

In this work, we systematically investigate proppant migration and placement by means of laboratory tests and numerical simulation. Computational fluid dynamics (CFD) and the discrete element method (DEM) are coupled to analyze proppant-fluid flow. The experimental observation and results validate the numerical model and calibrate critical parameters. The transport efficiency (E) and normalized standard deviation (NSD) are used to evaluate proppant distribution. The effects of nine parameters on the E and NSD are investigated at field ranges.

The calibrated CFD-DEM model is accurate in studying proppant distribution between multiple clusters. The toe bias is the primary distribution between clusters because of the large inertia originating from high injection rates. Fluid distribution and perforation configuration are critical factors that significantly change the toe bias at the cluster level. Fluid redistribution changes proppant distribution toward the heel. The inline up pattern has the best uniformity, followed by the 180° up-down pattern. The secondary characteristic is bottom-biased within a cluster. Increasing fluid viscosity, using small and light proppants, and pumping high-concentration slurry can improve proppant distribution. The slurry diversion into perforations is hardly changed unless external conditions change. The combination of high-concentration slurry and a large bed quickly induces premature screenout at the toe-side cluster, especially when injecting large and high-density particles. Slurry redistributes toward the heel if the toe-side cluster is blocked. The investigation provides a rational and feasible method for operators to understand proppant transport between clusters and optimize pumping parameters under field situations.
In-Vivo Ecotoxicological Impact of the Insecticide Indoxacarb on Aquatic Crustaceans
Authors: Aswathy Presannan Usha , Raj Archana , Benny Angel , Nair Suresh Narayanan
Published: August 2024

Indoxacarb, an oxadiazine-class of sodium channel blocker insecticide (SCBI), demonstrates remarkable efficacy in combating a diverse array of agricultural pests. Its distinctive neurotoxic mechanism of action disrupts synaptic transmission, presenting a valuable tool for integrated pest management strategies that simultaneously mitigate environmental risks. Brine shrimp (Artemia sp), a zooplanktonic crustacean is one of the most widely occurring euryhaline organisms. It is being extensively used in various bioassay research and applied toxicology experiments, most importantly in the assessment of ecotoxicological impact of xenobiotics. Brine shrimp lethality assay is an important tool for the preliminary cytotoxicity assay of chemicals based on the ability to kill their laboratory cultured larvae (nauplii). The study was conducted to evaluate the in-vivo ecotoxicological effect of indoxacarb, a sodium-channel blocking insecticide (SCBI) on aquatic non-target Artemia species. Insects are the most important target species for indoxacarb. The present toxicological study has estimated an LC 50 value of 5.13 µg/ml with a confidence interval in the range of 0.502 to 0.917 in Artemia sp. The results indicate that indoxacarb possesses a high risk of ecotoxicity to crustaceans when used as an agricultural pesticide.
Protocol for an open label pilot study of intranasal oxytocin for methamphetamine withdrawal in women (mOXY trial)
Authors: Arunogiri Shalini , Catchlove Sarah , Bove Emily , McKetin Rebecca , Manning Victoria , Bedi Gillinder , Lubman Dan
Published: August 2024

Background
Methamphetamine Use Disorder (MAUD) is associated with major public heath burden worldwide, yet medication treatment options are lacking. For many patients, the first step in a treatment episode is admission to a residential detoxification or rehabilitation unit for withdrawal, however unplanned early discharge is common, and evidence suggests treatment benefits may be short-lived. Pharmacotherapy candidates for methamphetamine withdrawal have thus far failed to show sufficient benefit; there are currently no FDA/TGA approved medications for treatment of MAUD.
Oxytocin is a candidate medication with potential to increase treatment retention and reduce withdrawal symptom severity and relapse rate. It has shown promise in the context of cocaine, cannabis and alcohol use disorders. Central neuro-modulatory effects of oxytocin may aide in alleviating withdrawal symptoms and craving, evident in preclinical and clinical studies. Further research is necessary, as is addressing the critical importance of sex differences in addiction treatment. Therefore, we aim to investigate the feasibility of intranasal oxytocin as a treatment for methamphetamine withdrawal, whilst targeting the significant gap in research by focusing on women.
Methods
This open label pilot trial will investigate the feasibility of intranasal oxytocin as a treatment for methamphetamine withdrawal in women. Oxytocin is administered twice daily to 10 women during a 7-day residential inpatient withdrawal admission. The primary objective is to assess feasibility as measured through the proportion of screen failures to those who received the study drug. Secondary objectives are assessment of length of stay up to 7 days in the inpatient unit. withdrawal symptom severity, relapse rates and treatment engagement at 1-month post discharge, and safety and tolerability of intranasal oxytocin. Changes in social functioning and social cognition from baseline to 1-month post-discharge will also be assessed as exploratory endpoints.
Discussion
Outcomes from this proof-of-concept study will inform the feasibility and endpoints of a full-scale randomised clinical trial, as well as provide preliminary data on the possible mechanisms underlying the therapeutic effects of oxytocin. Furthermore, the study will build critically needed research capacity in female-specific MAUD medication treatment.
Trial Registration ClinicalTrials.gov Identifier: NCT05709353, registered February 14th 2023 (Protocol version 2.0, 6th January 2023; https://www.clinicaltrials.gov/study/NCT05760807).
An Adaptive Extended Kalman Filter Observer-For Permanent Magnet Synchronous Motor Position Sensorless Control Systems
Authors: Yingjun Sang , Zhenglong Wu , Yuanyuan Fan
Published: August 2024

In this paper, an improved Sage-Husa adaptive extended Kalman filter observer is proposed to accurately estimate rotor speed and electrical angle in Position Sensorless Control Systems. This addresses the issue of the noise covariance matrix in the traditional Kalman filter not aligning with the actual system dynamics and being challenging to rectify. The observer is established on the Kalman-filtered extended inverse potential observer to formulate the full-order state equation of Permanent Magnet Synchronous Motor Position. This approach is then integrated with Normalised phase-locked loop and low-pass filtering techniques. By incorporating the Sage-Husa noise estimator into the conventional Kalman filter and introducing adaptive parameters to dynamically adjust the system noise matrix and process noise matrix, the observer exhibits robust adaptability and rapid convergence. However, it tends to exhibit weak stability and divergence. To counter the stability issue, the inertia weight formula in the traditional Sage-Husa noise estimator is enhanced by incorporating a stability coefficient to ensure semi-positive noise covariance matrix.In the speed loop of Permanent Magnet Synchronous Motor position sensor-less control system, Sliding Mode Control is integrated to enhance the system's immunity to interference and response speed. Additionally, the Maximum Torque Per Ampere module is employed to enable maximum torque-current ratio control for reducing motor losses. Through simulation and experimental analysis, the primary designed observer in this study demonstrates exceptional estimation accuracy and adaptability across all speed ranges.
Mechanism of action of miR-330-5p targeting ITGA5 in the regulation of proliferation, migration, and invasion of gastric cancer
Authors: Wang Jun-fu , Wei Jian-ming , He Ting , Hu Jun-wen , Zhang Jiang-nan , Liu Long-zi
Published: August 2024

BACKGROUND: ITGA5 is an oncogene that performs its biological function by integrating the intracellular structure and extracellular matrix. Our research group found that ITGA5 is a gastric cancer-related gene highly expressed in this tumor and is closely related to its proliferation and metastasis. The ITGA5 gene is regulated by multiple miRNAs during the occurrence and development of tumors. This study aimed to explore the role of targeting miRNAs upstream of ITGA5 in the regulation of the proliferation, invasion, and migration of gastric cancer cells.
METHODS: The target miRNA molecules regulating the ITGA5 gene were predicted by four bioinformatics databases (TargetScan、miRDB、miRTarBase and mirDIP), and the unreported miRNAs with high correlation were selected and their expression in gastric cancer was assessed by qRT-PCR and western blot. The miRNAs with potential targeting abilities were further verified by dual luciferase reporter gene experiment. The effects of miR-330-5p and ITGA5 on the proliferation, invasion, and migration of gastric cancer cells were evaluated by CCK8, clonogenic assay, and Transwell chamber assay, respectively.
RESULTS: Six miRNAs (miR-26a-5p、miR-92a-3p、miR-148a-3p、miR-148b-3p、miR-330-5p and miR-152-3p) with high stability and conservation were found, and miR-330-5p was the one targeting and regulating ITGA5. In vitro experiments demonstrated that miR-330-5p mimic significantly inhibited the proliferation, invasion, and migration of gastric cancer cells compared with the control group (p < 0.05). The transfection of miR-330-5p mimic into gastric cancer cells overexpressing ITGA5 (OE-ITGA5) resulted in a significant reversion of the promoting effect of OE-ITGA5 on the proliferation, invasion, and migration of gastric cancer cells (P < 0.05). In addition, miR-330-5p mimic reduced ITGA5 expression in gastric cancer cells and partially reversed the FAK/AKT signaling pathway activated by the ITGA5 gene. miR-330-5p inhibitor increased ITGA5 expression in gastric cancer cells, and they partially reversed the FAK/AKT signaling pathway blocked by sh-ITGA5.
CONCLUSIONS: ITGA5 was promotive for GC tumor growth and cell biological behaviors, and miR-330-5p targeted 3'-UTR of ITGA5 and inhibited its expression. ITGA5 was expected to become a new molecular marker, with miR-330-5p representing a novel therapeutic target for GC. This discovery provides a theoretical basis to further understand the mechanism related to the occurrence and development of gastric cancer, improving the diagnosis and prognosis while discovering a new therapeutic target.
Androecium homologies in eight-staminate maples: a developmental study
Authors: Zavialov Alexander , Remizowa Margarita V.
Published: August 2024

The genus Acer belongs to the family Sapindaceae, whose representatives are characterized by a pentamerous perianth but typically possess only eight stamens. Such an androecium is believed to have evolved through the loss of two stamens. However, there is still no consensus on the origin of eight-staminate androecium including the positions of the two lost stamens and the pathway of their reduction compared to other Sapindaceae. We examined the early stages of flower development in five maple species belonging to different sections – four species with eight stamens and one species with ten stamens – using scanning electron microscopy. Measurements were performed to analyze the relative positions of stamen primordia, their size, and the floral meristem surface area. In addition, the perianth and androecium vasculature was studied to reveal petal-stamen complexes. We found that in three of four 8-staminate species, three stamens are initiated from common petal-stamen primordia, and five arise from single primordia. In A. tegmentosum Maxim., four stamens appear from common primordia with petals, and four from single primordia. Despite developmental differences, stamen distribution within the flower and the angles between adjacent stamens indicate a similar androecium construction in all species. In most species with eight stamens, the differences between two andoecial whorls are vanished. In contrast, A. nikoense (Miq.) Maxim., with ten stamens, possesses two distinct stamen whorls, the antipetalous stamens are initiated from common primordia. In the 8-staminate androecia of the genus Acer, the same two stamens have been lost as in other Sapindaceae. Within genus Acer, there is a certain decrease in the relative size of the floral meristem, accompanied by an increase in the number of common petal-stamen primordia and increased heterogeneity of the androecium (in A. tegmentosum) or reduction of some floral organs.