bluuebunny/crossref_metadata_2025 huggingface dataset:
The public health burden of parent-reported food allergy-related missed school days among US children
Authors: Sansweet Samantha R. , Dyer Ashley A. , Hultquist Haley W. , Gupta Ruchi S. , Warren Christopher M.
Published: August 2024

Background: Food allergy (FA) is a common chronic condition among U.S. children. Children with FA and their families often report greater psychosocial burden, which is adversely impacted by the inability to participate in daily activities. Regularly attending school remains
central to supporting the well-being of children with FAs and related academic success. Objective: The objective was to estimate the frequency of FA-related school absences, determine predictors, and understand how report of such absences is associated with FA-related psychosocial
burden. Methods: A survey was administered to a nationally representative sample of U.S. households in 2015‐2016, obtaining parent-proxy responses for 38,408 children. Prevalence estimates were based on responses from NORC’s AmeriSpeak Panel (51% completion
rate), which were augmented by nonprobability-based responses via calibration weighting to increase precision. Prevalence was estimated via weighted proportions. Multiple logistic regression models evaluated factors associated with FA-related missed school days. Results:
Thirty-seven percent of children with FA who attended school in the past 12 months reportedly had one or more FA-related absence, with 13% missing 1‐2 days (95% confidence interval [CI], 11.41‐15.49 days), 17% missing 3‐7 days (95% CI, 6.82‐10.91 days), and
4% missing 8‐14 days (95% CI, 3.13‐6.20 days). Hispanic children were more likely to report missed school days in the past 12 months compared with white, non-Hispanic children with FA (odds ratio [OR] 1.62 [95% CI, 1.16‐2.26]). Children with multiple FAs (OR 1.35 [95%
CI, 1.03‐1.76]), history of epinephrine use (OR 2.22 [95% CI, 1.70‐2.90]), and anaphylaxis (OR 1.64 [95% CI, 1.26‐2.14]) in the past 12 months, and those with a current epinephrine prescription (OR 1.05 [95% CI, 0.075‐1.47]) have greater odds of reported FA-related
school absence. Report of one or more FA-related absences was also associated with greater FA-related psychosocial burden (OR 1.72 [95% CI, 1.46‐2.01]). Conclusion: Parent report of children missing school for reasons related to FA is remarkably common and associated
with greater FA-related psychosocial burden.
Sosialisasi Penggunaan Metil Eugenol untuk Mengendalikan Hama Lalat Buah pada Tanaman Pekarangan di Nagari Silago Kecamatan Sembilan Koto Kabupaten Dharmasraya
Authors: Heriza Sri , Karjunita Nike
Published: August 2024

Kecamatan Sembilan Koto merupakan daerah dengan mayoritas penduduknya sebagai petani sawah dan tanaman hortikultura. Permasalahan di Nagari Silago dari tahun ke tahun terkait praktik budidaya tanaman hortikultura adalah adanya serangan hama dari kelompok serangga lalat buah yang menyebabkan rusaknya buah dan tanaman sayuran masyarakat sehingga turunnya pendapatan masyarakat dan bahkan gagal panen. Selain itu permasalahan yang ada di Nagari Silago adalah masih minimnya pengetahuan masyarakat dalam memanfaatkan bahan-bahan yang mudah didapatkan dalam pengendalian hama lalat buah tersebut. Masyarakat biasanya lebih sering menggunakan insektisida kimia dalam bentuk formulasi instan yang dibeli dengan harga yang cukup mahal. Tujuan kegiatan pengabdian ini adalah untuk memberikan pengetahuan kepada masyarakat dalam membuat perangkap lalat buah yang ramah lingkungan dengan memanfaatkan botol bekas dan diberi atraktan metil eugenol sebagai zat pemikat agar hama lalat buah masuk dalam perangkap. Adapun manfaat dari kegiatan ini diharapkan masyarakat  di Nagari Silago dapat membuat perangkap lalat buah secara mandiri dan dapat membantu masyarakat dalam pengurangan pengeluaran biaya dalam pengendalian hama lalat buah tersebut.
Relationship between Husband's Support, Family Support and Adjustment to the New Role as a Mother with EventsPostpartum Bluesin the Andalas Health Center Working Area
Authors: Fitrayeni Fitrayeni , Tilana Dilla Dwi , Lisa Ulfa Farrah
Published: August 2024

Postpartum bluesor as it is often calledbaby bluesormaternity bluesis a mild psychological disorder that occurs temporarily, namely 2 days to 2 weeks after giving birth, which is characterized by anxiety, panic easily, fatigue, often blaming yourself and feeling unable to take care of the baby. This research aims to determine the relationship between husband's support, family support and adjustment to a new role as a mother with eventspostpartum bluesin the Andalas Health Center working area.
Quantitative research by designcross-sectional,carried out in the working area of the Andalas Health Center, Padang City from January to December 2021. The respondents of this study were 58 pregnant women in the third trimester of July. Sampling is carried out using techniques proportional sampling. The research instrument used was a questionnaire. Univariate and bivariate analysis usingchi square (p
Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang
Authors: Sutarman  , Siringoringo Rimbun , Arisandi Dedy , Kurniawan Edi , Nababan Erna Budhiarti
Published: August 2024

Logistic Regression merupakan metode pengklasifikasi yang sangat populer dan digunakan secara luas pada berbagai penelitian. Logistic Regression dapat memberikan hasil yang baik pada masalah klasifikasi maupun prediksi. Fitur dataset yang besar mengakibatkan beban komputasi,  dan  menurunkan kinerja klasifikasi. Terdapat tiga dataset yang digunakan pada penelitian ini yaitu Bank marketing, Glass, dan Musk II. Dataset tersebut bersumber dari  UCI Repository dan memiliki karakteristik yang berbeda. Ada dua tantangan penggunaan dataset tersebut, yaitu ketidakseimbangan kelas, dan jumlah fitur yang besar. Ada dua tahapan utama pada penelitian ini, yaitu pemrosesan awal dan klasifikasi.  Tahapan pemrosesan awal menerapkan seleksi  fitur melalui recursive feature elimination, dan penyeimbangan data menggunakan teknik  SMOTE. Tahapan klasifikasi menerapkan Logistic Regression. Teknik ridge regression (L2-regularization) diterapkan untuk menghindari overfitting pada tahap validasi model LR.  Evaluasi kinerja model didasarkan pada matrik konfusi dan grafik ROC. Hasil penelitian menunjukkan bahwa seleksi fitur dan peyeimbangan kelas memiliki dampak yang baik. Melalui ROC, model LR+RFE+SMOTE memiliki luas sebesar 93%. Hasil ini lebih baik dibanding dengan empat model klasifikasi lainnya, yaitu  Naïve Bayes, Decision Tree, K-NN, dan Random Forest.
 
Abstract
 
Logistic regression is a widely popular classification method extensively used in various studies. Logistic regression can yield good results in classification and prediction problems. The extensive features of the dataset can lead to computational burdens and reduced classification performance. Three datasets were utilized in this research: Bank Marketing, Glass, and Musk II. The dataset is sourced from the UCI Repository and contains various characteristics. There are two challenges associated with using this dataset: class imbalance and a large number of features. There are two main stages in this research: initial processing and classification. At the initial processing stage, feature selection is conducted through recursive feature elimination, and data balancing is achieved using the SMOTE technique. The classification stage applies logistic regression. The ridge regression technique (L2-regularization) is applied to prevent overfitting during the validation stage of the linear regression model. The model performance evaluation is based on confusion matrices and ROC graphs. The research results show that feature selection and class balancing have a positive impact. Through the Receiver Operating Characteristics (ROC) analysis, the LR+RFE+SMOTE model achieved an area under the curve of 93%. These results are better than those of four other classification models, namely Naïve Bayes, Decision Tree, K-NN, and Random Forest.
Optimasi Klasifikasi Sentimen Komentar Pengguna Game Bergerak Menggunakan Svm, Grid Search Dan Kombinasi N-Gram
Authors: Iriananda Syahroni Wahyu , Budiawan Renaldi Widi , Rahman Aviv Yuniar , Istiadi Istiadi
Published: August 2024

Game online telah menjadi fenomena budaya signifikan dalam industri yang berkembang pesat. Pengguna dan pengembang game menggunakan analisis sentimen untuk memahami opini dan ulasan pemain, yang membantu dalam pengembangan dan peningkatan game. Penelitian ini melakukan klasifikasi sentimen menggunakan algoritma Support Vector Machine (SVM) dengan penerapan teknik N-Gram untuk seleksi fitur. Grid Search (GS) digunakan untuk optimasi hyperparameter guna mencapai akurasi optimal. Eksperimen dilakukan dengan berbagai skenario, termasuk variasi jumlah data, pengaturan hyperparameter, rasio dataset pelatihan dan pengujian, serta konfigurasi N-Gram. Kinerja model dinilai menggunakan metrik seperti Akurasi, Presisi, Recall, dan Area di Bawah Kurva ROC (AUC). Hasil menunjukkan bahwa dengan dataset gabungan (Allgame) dan integrasi fitur seleksi N-Gram Unigram, Bigram, dan Trigram (UniBiTri), model ini mencapai akurasi 87,3%, presisi 88,5%, recall 85,5%, dan AUC 0,9081, menggunakan kernel Fungsi Basis Radial (RBF) dengan validasi silang k-fold (k=10).
 
Abstract
 
Online gaming has become a significant cultural phenomenon within a rapidly expanding industry. Game users and developers leverage sentiment analysis to understand player opinions and reviews, which subsequently guide game development and enhancements. In this study, sentiment classification was performed using the Support Vector Machine (SVM) algorithm, employing N-Gram techniques for feature selection. Grid Search (GS) was utilized for hyperparameter optimization to achieve the highest possible accuracy. To evaluate the impact of these methods, experiments were conducted across various scenarios, including different data quantities, hyperparameter settings, training and testing dataset ratios, and N-Gram configurations. The performance of the classification model was assessed using metrics such as Accuracy, Precision, Recall, and the Area Under the ROC Curve (AUC). The results of the study indicate that by using 3600 rows from a combined dataset (Allgame) and integrating Unigram, Bigram, and Trigram (UniBiTri) N-Gram selection features, along with k-fold cross-validation (k=10) and the Radial Basis Function (RBF) kernel, the model effectively classifies user reviews. Specifically, the model achieved an accuracy of 87.3%, precision of 88.5%, recall of 85.5%, and an AUC of 0.9081.
Simulasi Kerumunan NPC Pada Game “Pengenalan Uin Malang” Menggunakan Metode Flocking
Authors: Pratama Dicky Arya , Mitachul Arif Yunifa , Nugroho Fresy
Published: August 2024

Penelitian ini mengimplementasikan metode flocking untuk mensimulasikan perilaku kerumunan pada NPC dalam game "Pengenalan UIN Malang" untuk menciptakan perilaku berkerumun yang realistis. Meskipun kerumunan NPC tanpa metode memiliki waktu tempuh lebih cepat, kerumunan NPC dengan metode flocking memberikan perilaku berkerumun yang interaktif dengan tingkat usability yang baik. Hasil evaluasi menggunakan System Usability Testing menunjukkan skor usability yang memadai. Implementasi ini berhasil menciptakan pengalaman berinteraksi yang lebih baik, meskipun waktu tempuhnya tidak secepat NPC tanpa metode.
 
Abstract
 
This research implements the flocking method to simulate crowd behavior on NPCs in the game "Introduction to UIN Malang" to create realistic crowding behavior. Although NPC crowding without a method has a faster travel time, NPC crowding with the flocking method provides interactive swarming behavior with a good level of usability. Evaluation results using System Usability Testing show adequate usability scores. This implementation succeeded in creating a better interaction experience, although the travel time was not as fast as NPCs without the method.
Implementasi HPack dan Gzip pada Optimasi Aplikasi Dengan Arsitektur Microservice
Authors: Tjut Adek Rizal , Mulaesyi Syibbran , Yunizar Zara , M. Fauzan
Published: August 2024

Penelitian ini mengkaji penerapan arsitektur microservice dalam pengembangan aplikasi web, dengan fokus pada optimasi komunikasi antar layanan melalui kompresi data. Dengan latar belakang permasalahan bottleneck dalam transfer data antar layanan, tujuan utama penelitian ini adalah mengatasi tantangan tersebut dengan memanfaatkan teknologi kompresi HPack dan Gzip, terutama dalam konteks penggunaan format data JSON yang umum dalam komunikasi antar layanan. Penelitian dilakukan melalui tahapan analisis kebutuhan, desain sistem, implementasi, deployment dan pengujian. Data uji yang merupakan respons dari microservice yang berupa 34 item JSON Array yang dikompresi menggunakan Hpack, Gzip dan gabungan keduanya. Proses pengukuran waktu dan ukuran respons untuk setiap jenis kompresi dilakukan menggunakan Chrome DevTools, dengan analisis data yang dilakukan menggunakan alat bantu pandas. Hasil pengujian menunjukkan penurunan sebanyak ~79,4% dari 12991 bytes dalam ukuran respons dan penurunan waktu respons sebanyak ~8,7% dari 641,401 ms. Hal ini menegaskan efektivitas HPack dan Gzip dalam meningkatkan performa aplikasi microservice. Penelitian ini memberikan wawasan dalam optimasi aplikasi microservice dan rekomendasi praktik terbaik dalam pemilihan metode kompresi data.
 
Abstract
This study examines the implementation of microservice architecture in web application development, with a focus on optimizing communication between services through data compression. Given the background issue of bottleneck in data transfer between services, the primary objective of this research is to address this challenge by leveraging HPack and Gzip compression technologies, especially in the context of using the common JSON data format for inter-service communication. The research was conducted through stages of requirements analysis, system design, implementation, deployment, and testing. Test data consists of responses from microservices in the form of a 34-item JSON Array compressed using HPack, Gzip, and a combination of both. The process of measuring response time and size for each compression type was carried out using Chrome DevTools, with data analysis performed using pandas tools. The test results show a reduction of approximately 79.4% from 12991 bytes in response size and a decrease in response time by about 8.7% from 641.401 ms. This confirms the effectiveness of HPack and Gzip in enhancing microservice application performance. The study provides insights into microservice application optimization and recommendations for best practices in selecting data compression methods.
Updating the Loth Drag Model to Include Nonspherical Particle Effects
Authors: Palmer Grant
Published: August 2024

Sophisticated drag models have been developed over the past few decades that are based on ballistic range and other experimental data. These drag models are applicable over a wide range of particle-flow environments and include compressibility and rarefaction effects. One drawback of these sophisticated drag models is that they assume spherical particles. However, Martian dust particles and materials used in ground-based dusty-flow experiments such as [Formula: see text] or BN are known to be nonspherical. It is well known that nonspherical particles, in general, will experience higher drag forces compared to spherical particles. There has also been a considerable amount of research developing drag models that account for nonspherical particle shapes, but most of these models are restricted to incompressible, continuum particle-flow conditions. This paper presents a simple way to include nonspherical particle effects into the widely used Loth particle drag model. This updated drag model is used to simulate dust-laden flow experiments performed in the German Aerospace Center the multiple phase flow facility (GBK) experimental facility and in the shock layer of a Martian-entry spacecraft to assess the effectiveness and range of applicability of this new drag model. In the GBK experiment simulations, the modified Loth drag model, which includes both compressibility and nonspherical particle effects, showed improved comparison to the experimental data.
Design of Robust Ballistic Landings on the Secondary of a Binary Asteroid
Authors: Fodde Iosto , Feng Jinglang , Vasile Massimiliano , Gil-Fernández Jesús
Published: August 2024

ESA’s Hera mission aims to visit binary asteroid Didymos in late 2026, investigating its physical characteristics and the result of NASA’s impact by the DART spacecraft in more detail. Two CubeSats onboard Hera plan to perform a ballistic landing on the secondary of the system, called Dimorphos. For these types of landings the translational state during descent is not controlled, reducing the spacecraft’s complexity but also increasing its sensitivity to deployment maneuver errors and dynamic uncertainties. This paper introduces a novel methodology to analyze the effect of these uncertainties on the dynamics of the lander and design a trajectory that is robust against them. This methodology consists of propagating the uncertain state of the lander using the nonintrusive Chebyshev interpolation (NCI) technique, which approximates the uncertain dynamics using a polynomial expansion. The results are then analyzed using the pseudo-diffusion indicator. This indicator is derived from the coefficients of the polynomial expansion, which quantifies the rate of growth of the set of possible states of the spacecraft over time. The indicator is used here to constrain the impact velocity and angle to values that allow for successful settling on the surface. This information is then used to optimize the landing trajectory by applying the NCI technique inside the transcription of the problem. The resulting trajectory increases the robustness of the trajectory compared to a conventional method, improving landing success by 20% and significantly reducing the landing footprint.
Software Error Incident Categorizations in Aerospace
Authors: Prokop Lorraine E.
Published: August 2024

Since the first use of computers in spacecraft and aircraft, software errors have occurred. These errors can manifest as loss of life or less catastrophically. As the demand for automation increases, software in mission- or safety-critical systems should be designed to be tolerant to the most likely software faults. This paper categorizes historic aerospace software errors to determine trends of how and where automation is most likely to fail. A distinction between software producing wrong (erroneous) output versus no output (fail-silent) is introduced. Of the historical incidents analyzed, 85% were from software producing erroneous output rather than stopping. Rebooting was found to be ineffective in clearing erroneous behavior and not reliable to recover from silent software. Errors originated from within the code/logic itself in 58% of cases, 16% from configurable data, and 25% introduced through input sources, command or sensor. Forty percent of unexpected software behavior was caused by the absence of software, and 16% was subjectively due to “unknown-unknowns.” These findings indicate that to achieve software fault tolerance, backup strategies must be employed to detect and respond to erroneous software behavior beyond only fail-silent cases, and robust off-nominal testing should be performed to uncover unanticipated situations.
Perancangan Model Excavator dengan Penggerak Hydraulic Syringe Menggunakan Remote Control IoT
Authors: Darmawan Marten , Jehoshaphat Andrew Chrisanto , Jehoshaphat Filbert , Pachalis Sebastian Michael , Krisnandi Johanes Vianny , Irwan Zephaniah , Soewono Arka
Published: August 2024

Jurnal ini membahas tentang perancangan prototipe dari excavator dengan sistem penggerak lengan excavator menggunakan sistem hidrolik yang diterapkan menggunakan syringe. Perkembangan dalam dunia industri dan teknologi telah menuntut penggunaan mesin produksi yang mudah dikendalikan dan memiliki keakuratan maupun kekuatan yang sesuai. Sistem tenaga fluida adalah salah satu jenis sistem yang bekerja dengan memanfaatkan fluida gas maupun cair untuk melakukan transmisi gaya, sistem tersebut memiliki sensitivitas dan kekuatan yang baik untuk membantu kerja sebuah mesin secara mekanis Sistem tenaga fluida yang digunakan dalam penelitian ini berjenis hidrolik sederhana yang memanfaatkan air sebagai fluida kerja, sedangkan sistem kontrol akan dirancang dengan memanfaatkan perangkat ESP 32 dan server milik Blynk. Hasil pengujian yang didapatkan yaitu hidrolik pada lengan pertama (Boom) mampu menarik beban hingga 2,55 N, hidrolik pada lengan tengah (Arm) mampu menarik beban hingga 2,5 N, hidrolik ketiga menunjukkan bahwa bucket mampu menarik beban hingga 1,4 N.
IMPLEMENTASI KEPEMILIKAN PROPERTI BAGI ORANG ASING DI INDONESIA
Authors: Almando Benedikto
Published: August 2024

Pemerintah Indonesia telah melakukan berbagai upaya untuk memulihkan perekonomian pasca pandemi COVID-19. Salah satu upayanya yaitu melalui peningkatan sektor wisata mancanegara serta peningkatan peluang bagi para investor asing untuk berinvestasi di Indonesia. Upaya tersebut dilakukan melalui pembentukan kebijakan yang memudahkan para Warga Negara Asing untuk datang dan tinggal di Indonesia selama 5 (lima) atau 10 (sepuluh) tahun tanpa kewajiban penjamin. Kemudahan tersebut mengakibatkan tingginya kebutuhan hunian bagi Warga Negara Asing yang tinggal di Indonesia. Tingginya kebutuhan tersebut membuka peluang perbuatan penyelundupan hukum berupa praktik perjanjian pinjam nama (nominee) yang sering dilakukan oleh Warga Negara Asing. Maka, tujuan dari penulisan ini yaitu untuk mengetahui bagaimana pengaturan hak atas tanah bagi Warga Negara Asing serta bagaimana implementasi peraturan atas satuan rumah susun dan rumah tinggal bagi Warga Negara Asing. Meteodologi dalam penulisan ini menggunakan penelitian hukum normatif atau penelitian kepustakaan. Hasil penelitian yaitu pengaturan UUPA tidak memberikan semua jenis hak atas tanah kepada Warga Negara Asing. Adapun ketentuan UU Ciptaker yang mengatur pemberian hak milik atas satuan rumah susun dan pemberian hak pakai atas rumah tinggal bagi Warga Negara Asing dengan syarat dan batasan yang diatur secara tegas.
Translation and Linguistic Validation of the Multidimensional Dyspnea Profile into Hindi in a Palliative Care Setting
Authors: Kökeritz Maria , Dufberg Lovisa , Palat Gayatri , Ekström Magnus , Brun Eva , Segerlantz Mikael
Published: August 2024

Objectives:

The Multidimensional Dyspnea Profile (MDP) comprehensively addresses dyspnea, incorporating both perceptual and affective components, and has proven effective in assessing breathlessness among patients with chronic lung conditions. Despite its validation in High-Income Countries, its applicability in Low/Middle-Income countries remains uncertain. Additionally, the MDP has not been translated into Hindi or validated in an Indian context. Our aim was to translate the MDP into Hindi and linguistically validate it for use in an Indian palliative care setting, with a high rate of illiteracy.

Materials and Methods:

The comprehensibility and acceptability of the translated MDP in Hindi were assessed through in-depth interviews with seven Hindi-speaking patients with cancer. The study focused on tailoring the MDP in a socioeconomically disadvantaged population characterized by a high rate of illiteracy. The translation process involved forward and backward translations by independent certified translators, with input from in-country Indian palliative medicine physicians and healthcare personnel.

Results:

The Hindi version of the MDP was adapted for use in an Indian context and in a population with a high rate of illiteracy, aligning with international guidelines for Patient-Reported Outcomes demonstrating relevance in a specific cultural and healthcare context. The MDP increased healthcare staff ’s understanding of underlying causes of dyspnea in a socioeconomically disadvantaged population enrolled into palliative care and with a high rate of illiteracy.

Conclusion:

The study underscores the importance of linguistic validation and cultural adaptation in ensuring the applicability of Patient-Reported Outcomes measures in diverse healthcare settings. Because the MDP can be perceived as time-consuming, selected parts of the instrument may be used as needed.
Management of concurrent symptomatic tuberculum sellae meningioma and idiopathic intracranial hypertension: A case report
Authors: Espinosa Jonathan , Tavakoli Samon , Chen Philip , Mascitelli Justin , Gragnaniello Cristian
Published: August 2024

Background:

Coexisting intracranial pathologies of distinct etiology which require intervention are rare. Only a handful of cases have been reported in the literature. The effects of each treatment option on both pathologies need to be considered during management. We describe the first report of the management of a patient with concurrent symptomatic tuberculum sellae meningioma (TSM) and idiopathic intracranial hypertension (IIH).

Case Description:

A 58-year-old male presented with 2 weeks of vision loss and 3 months of headaches. He was found to have an inferior hemi-field deficit in the left eye and bilateral papilledema. Imaging studies revealed bilateral transverse sinus stenosis and a TSM abutting the left optic nerve. The opening pressure was 40 cmH2O. An expanded-endoscopic endonasal approach was performed for mass resection. Intraoperatively, a lumbar drain was placed to aid skull base repair integrity before definitive treatment was obtained. On postoperative day 9, a right transverse-sigmoid sinus stent was placed for IIH treatment. The patient was discharged the following day.

Conclusion:

Our management of this patient targeted the etiologies of each symptomatic pathology. Stenting provided treatment for the IIH and mass resection for the vision loss. Both the order and approaches to treatment were felt to maximize patient benefit while minimizing harm.
Minimally invasive tubular approach to intramedullary cavernous malformations
Authors: Kantorowski Maia Sophia , Walker James Benning
Published: August 2024

Background:

Advancements in minimally invasive spinal surgery have led to an expansion of targeted pathologies as well as improvements in surgical outcomes compared to their conventional counterparts through open laminectomy; however, this technique is rarely mentioned in the literature for intrinsic cord lesions. The authors present a novel minimally invasive, dorsolateral, and expandable tubular approach for the resection of an intradural, intramedullary thoracic cavernous malformation (CM).

Case Descriptions:

A 52-year-old male patient presented with rapidly progressive myelopathy and loss of ambulatory capabilities, with which magnetic resonance imaging revealed a hemorrhagic CM within the thoracic spinal cord. The CM was successfully resected through a minimally invasive tubular approach utilizing a dorsal root entry zone myelotomy. Postoperative imaging confirmed gross resection. His motor examination rapidly recovered, and he remains ambulatory with the use of a cane at a 2-year follow-up.

Conclusion:

This novel minimally invasive approach is a promising technique for well-selected cases of symptomatic spinal CMs. Further exploration and potentially randomized studies are necessary to fully affirm the tubular approach’s suitability for the treatment of intradural intramedullary CMs compared to conventional techniques.
A Search for Biologically Active Compounds for Potential Pharmaceutic and Agronomic Applications
Authors: De Mesmaeker Alain
Published: August 2024

Summarized here are some aspects of my research activities in Ciba-Geigy Central Research Laboratories (1985–1996), in Novartis and Syngenta Crop Protection Research (1997–2020). I have followed the chronological order of these research activities covering only published data.
Enhancing Drug Discovery and Development through the Integration of Medicinal Chemistry, Chemical Biology, and Academia-Industry Partnerships: Insights from Roche’s Endocannabinoid System Projects
Authors: Aebi Johannes , Atz Kenneth , Ametamey Simon M. , Benz Jörg , Blaising Julie , Butini Stefania , Campiani Giuseppe , Carreira Erick M. , Collin Ludovic , De Lago Eva , Gazzi Thais , Gertsch Jürg , Gobbi Luca , Guba Wolfgang , Fernández-Ruiz Javier , Fingerle Jürgen , Haider Ahmed , He Yingfang , Heitman Laura H. , Honer Michael , Hunziker Daniel , Kuhn Bernd , Maccarrone Mauro , Märki Hans Peter , Martin Rainer E. , Mohr Peter , Mu Linjing , Nazaré Marc , Nippa David F. , Oddi Sergio , O’Hara Fionn , Pacher Pal , Romero Julian , Röver Stephan , Rufer Arne C. , Schibli Roger , Schneider Gisbert , Stepan Antonia F. , Sykes David A. , Ullmer Christoph , Van der Stelt Mario , Veprintsev Dmitry B. , Wittwer Matthias B. , Grether Uwe
Published: August 2024

The endocannabinoid system (ECS) is a critical regulatory network composed of endogenous cannabinoids (eCBs), their synthesizing and degrading enzymes, and associated receptors. It is integral to maintaining homeostasis and orchestrating key functions within the central nervous and immune systems. Given its therapeutic significance, we have launched a series of drug discovery endeavors aimed at ECS targets, including peroxisome proliferator-activated receptors (PPARs), cannabinoid receptors types 1 (CB1R) and 2 (CB2R), and monoacylglycerol lipase (MAGL), addressing a wide array of medical needs. The pursuit of new therapeutic agents has been enhanced by the creation of specialized labeled chemical probes, which aid in target localization, mechanistic studies, assay development, and the establishment of biomarkers for target engagement. By fusing medicinal chemistry with chemical biology in a comprehensive, translational end-to-end drug discovery strategy, we have expedited the development of novel therapeutics. Additionally, this strategy promises to foster highly productive partnerships between industry and academia, as will be illustrated through various examples.
An investigation of augment March C - algorithm using IoT: heuristic approach
Authors: Гиацинтов А.М. , Мамросенко К.А.
Published: August 2024

Важными аспектами работы с графическими операциями являются достижение корректности выполнения операций и отладка подсистем и драйверов, связанных с отображением графической информации. В статье представлена архитектура эмулятора графического ускорителя, предназначенного для диагностики и последующего исправления сложно выявляемых ошибок в компонентах графической подсистемы. В отличие от известных решений, в архитектуре предусматривается возможность применения программного обеспечения как в составе эмуляторов аппаратного обеспечения системы в целом типа QEMU, так и в виде присоединяемой библиотеки к драйверу графического ускорителя. Применение эмулятора позволило обнаружить некоторые ошибки, которые на реальной аппаратуре имели характер “плавающих” и были тяжело воспроизводимы.

In this paper an effective novel memory management strategy for IoT framework standard over MQTT with Raspberry Pi field protocol is used in RAID 6 (redundant array of independent drives) for data storage. RAID 6 offers a long data retention time for archiving as well as it provides a high fault and driven failure tolerance rate. The probability of rebuild failure rate is 0.397 % when using RAID 6. In this paper we have proposed a memory management strategy based on IoT framework for effective testing and repair. For this purpose a novel memory testing approach i. e. Improvised March C− (IM− March C−) Algorithm has been used with cases 32×8×1, 64×8×1, 256×8×1 for certain predefined injected-random fault at certain location in a RAID 6. The presented work has been tested on SPARTAN 2E, SPARTAN 3E, VIRTEX 2, VIRTEX 4, VIRTEX 5. From the results it is clear that the proposed algorithm has better fault coverage, requires less tracing time (0.14 s) and better device utilization.
From CO2 to solid carbon: reaction mechanism, active species, and conditioning the Ce-alloyed GaInSn catalyst
Authors: Lörch Daniel , Mohamed Aya G.A. , Euchner Holger , Timm Janick , Hiller Jonas , Bogdanoff Peter , May Matthias
Published: August 2024

The electrochemical reduction of CO2 is a promising realisation of negative emissions to mitigate climate change, aiming at the efficient production and safe longterm storage of carbon-rich sink products. This approach, however, necessitates novel catalyst materials specifically targeting electrochemical carbon dioxide removal. In this work, we investigate synthesis routes for a cerium-incorporated GaInSn-based liquid metal catalyst, focusing on the electrochemical production of graphitic carbon. Preparation and preconditioning of the catalyst are found to be crucial for carbon production, while trace amounts of H2O and OH in the organic electrolyte play a decisive role for the efficiency of the electrocatalytic process. Finally, for a better understanding of the reaction mechanism and the involved active species, experimental findings and density functional theory-based calculations are combined, suggesting a two-step reduction pathway with Ce(OH)x as the catalytically active surface species.
Deoxycyanation of Alkyl Alcohols
Authors: Humpel Carla , Chen Jingjia , Lyon William , McNamee Ryan , MacMillan David
Published: August 2024

Cyano groups represent an important class of functional motifs in medicinal chemistry given their synthetic versatility and capacity to engage in essential interactions with biological targets. However, the synthesis of sterically hindered alkyl nitriles using non-toxic reagents remains challenging. Traditional methods often rely on toxic cyanide sources and suffer from limited substrate scope. Herein, we report a photoredox catalyzed, metal-free deoxycyanation of alkyl alcohols that allows rapid access to a wide array of 1º, 2º, and 3º cyanides using non-toxic cyanide reagents.
Versión breve del Test de Habilidades para la Vida en adolescentes y jóvenes mexicanos escolarizados
Authors: Santana-Campas Marco Antonio , Juárez García Laura Rocío , Gómez González Oscar
Published: August 2024

Las habilidades para la vida se consideran necesarias para lograr un desarrollo humano saludable. Su enseñanza se ha extendido de manera global mediante la implementación de programas de prevención en entornos escolares. Sin embargo, estos programas requieren de instrumentos con adecuadas propiedades psicométricas y de fácil uso. El objetivo de este trabajo es aportar evidencia de validez relacionada con la estructura interna del Test de Habilidades para la Vida y desarrollar una versión breve que pueda ser usada con adolescentes y jóvenes mexicanos escolarizados. Se trata de un estudio psicométrico en el que se aplicó el Test de Habilidades para la Vida a una muestra de 897 estudiantes (Medad = 20.70, DE = 3.73), de los cuales 74.7 % fueron mujeres (Medad = 20.49; DE = 3.16); y 25.3 % hombres (Medad = 21.33; DE = 5.01). El 2.6 % fueron de educación secundaria y media superior, 95.4 % de pregrado y el 2 % estudiantes de posgrado. El test original consta de 80 ítems e identifica diez habilidades para la vida. En esta investigación, el test original no mostró índices de ajuste aceptables, salvo el GFI (.97) y el RMSEA (.073); la versión breve propuesta, de 40 ítems, mostró evidencia de validez con base en la estructura interna, en cuanto índices de ajuste obtenidos con análisis factorial confirmatorio, análisis de invarianza y coeficientes de confiabilidad. Se concluye que la versión breve es adecuada para su uso en adolescentes y jóvenes mexicanos.
Research on Public Service Model Based on Cloud Computing Educational Resources Big Data
Authors: Zhou Shengtao
Published: August 2024

This paper discusses the public service model based on big data of educational resources in cloud computing, and first defines “big data of educational resources” and explains its main characteristics. On this basis, the architecture and design principles of this public service model are analyzed in detail, covering data collection, processing flow, and the realization mechanism of personalized education services. The importance of service quality assurance, performance monitoring, and security and privacy protection is particularly emphasized, and a cost-benefit assessment is conducted. Finally, in response to future trends and challenges, the article proposes topics that service providers, policymakers, and educators need to face together to promote continuous progress in the technological and regulatory environment.
Notes on DIY Room Design and Emotional Aesthetics Research of 17 Temporary Residence
Authors: Yu Jianhui , Lan Ni
Published: August 2024

Taking the 17 temporary shelters that the author has lived in as the subject, the article summarises, explores, and reflects on the autonomous design of residential space in the specific category of temporary shelters. By integrating the function and form of space with the inner projection of human beings, the article concludes that the form and aesthetics of objective space are closely related to the aesthetics and emotions of human beings and their memories. The aim is to advocate that people, as the main body of space users, spontaneously carry out spatial design and decoration to improve the satisfaction of living and the quality of space and life.
Research on Digitalization of Hydraulic Valves
Authors: Hu Shuangjun
Published: August 2024

The hydraulic pilot valve is an important component in hydraulic systems. Hydraulic systems and hydraulic control technology are the core of the development in the field of construction machinery. This article mainly introduces the concept and research significance of hydraulic valves, analyzes the current research status, level, and development trends at home and abroad, and is committed to researching, designing, and applying a hydraulic pilot valve with an electromagnetic positioning handle to improve the control performance of construction machinery.
Following Trending Topics: The Influence Mechanism of Chinese Hot Search Topics on Urban Dissemination in the Era of Short Video
Authors: Xia Lu
Published: August 2024

The research on the influence mechanism of hot search topics on urban communication helps understand the media power and discourse practice of urban image construction in the era of short video. Therefore, this paper takes 17 cases of Chinese hot search urban topics from 2020 to 2024 as the research object and extracts one outcome variable and seven explanatory variables on urban hot search topics based on existing literature. Through the qualitative comparison of clear sets (QCA) analysis, it is found following trending topics has become a major way and pattern of urban public opinion discourse generation on short video platforms. On the one hand, the discourse is connected by the extension of urban hot search topics, and the spontaneous expression of netizens’ demands has exceeded the topic itself and has become the public’s concern. On the other hand, institutional media and mainstream media form event characterization through macro interpretation of hot topics, which often relate to urban governance and government administration, and further affect urban communication.
Empowering Pregnant Women to Increase Knowledge of High Risk in Pregnancy
Authors: Noviasari Ita , Agustina Ika , Sari Levi Tina , Ulfa Maria , Wibisono Wahyu , Kusnianto Maratus Sholichah  Fitriah Hajar , Fata Ulfa Husnul
Published: August 2024

High risk in pregnancy is a condition that can cause pregnant women and babies to become abnormal before birth. The danger signs of pregnancy must be understood and can be detected in the mother's pregnancy so that they can be handled properly because the danger signs in pregnancy can cause complications in pregnancy. This community service was carried out in Karanggayam Village, Srengat District, Blitar Regency. The implementation of the community service was on August 30,2022. The activities included: (1). Giving a pre-test in the form of a questionnaire to pregnant women, (2). Antenatal care activities (ANC), (3). Outreach activities about high-risk pregnancy, (4). Post-test in the form of a questionnaire. The counselling media used LCD media, laptops, videos and leaflets. The instrument used a questionnaire about high-risk pregnancy. Based on the results of the evaluation, it was found that 30% of pregnant women have poor knowledge, and only 20% had good knowledge. After being given an intervention in the form of counseling about high-risk in pregnant women, it was found that 70% had knowledge in the good category, and 30% in the sufficient category. It is expected to provide counseling to pregnant women about high-risk of pregnancies by using lecturing media, videos and leaflets.
ОЦЕНКА УРОВНЯ РАЗВИТИЯ СОЦИАЛЬНОЙ ИНФРАСТРУКТУРЫ СЕЛЬСКИХ ТЕРРИТОРИЙ НА ПРИМЕРЕ МОСКОВСКОЙ ОБЛАСТИ
Authors: УШАКОВ РОМАН ИГОРЕВИЧ
Published: August 2024

Представленное исследование посвящено комплексному анализу состояния социальной инфраструктуры сельских территорий Московской области на основе официальных статистических данных за 2022 год. Актуальность темы обусловлена жизненно важной необходимостью преодоления существующих диспропорций в размещении объектов социальной инфраструктуры для создания условий закрепления населения в сельской местности и ведения хозяйственной деятельности, что выступает стратегическим вектором региональной социально-экономической политики. В теоретической части работы дается трактовка сущности социальной инфраструктуры как совокупности отраслей, предприятий и видов деятельности, функционирование которых направлено на удовлетворение материальных, духовных и интеллектуальных потребностей населения. Выделяются системообразующие факторы развития инфраструктуры: обеспеченность трудовыми ресурсами, материально-техническая база и финансовое обеспечение. Акцентируется важность сбалансированного развития данных компонентов для достижения социально-экономического благосостояния региона. В эмпирической части проведен детальный статистический анализ обеспеченности сельских территорий Московской области объектами различных отраслей социальной сферы: здравоохранение, спорт, торговля, общественное питание, бытовое обслуживание, связь, жилищное строительство, ЖКХ, транспортная инфраструктура. Выявлены сильные стороны (развитая торговая инфраструктура, активное жилищное строительство, разветвленная автодорожная сеть) и слабые стороны (диспропорции в социальной сфере между районами, проблемы ЖКХ, дефицит кадров и отток населения). Значительное внимание уделено агропромышленному комплексу как ключевому элементу социально-экономического развития села, обеспечивающему продовольственную безопасность и создающему рабочие места. Проанализированы основные составляющие АПК региона, отмечена негативная динамика сокращения числа сельхозорганизаций с 2020 по 2023 гг. По итогам комплексного исследования и выявленных проблем предложен ряд рекомендаций: создание региональной программы по установлению единых стандартов социальной инфраструктуры в сельских районах с их территориально-пространственной специализацией; формирование «Продовольственного банка» как стратегического запаса и агропромышленных кластеров для интеграции потенциала села и обеспечения продовольственной безопасности региона; реализация политики деурбанизации с созданием новых рабочих мест в АПК, промышленности и сфере услуг в сельской местности, популяризацией сельского образа жизни.
Training on Designing UI/UX using Design Thinking and Figma at SMKN 4 Bandung
Authors: Umaroh Sofia , Yudianto Fauzi , Istifah Istifah
Published: August 2024

The emergence of User Interface (UI) and User Experience (UX) Design in the world is now attracting more people who want to learn about it. SMKN 4 Bandung is one of the schools that have an industry-class curriculum, where students are provided with a learning program related to industrial technology. This training is divided into three stages: Pre-Test, Training, and Post-Test. The Pre-Test is used to assess the extent of their understanding of UI and UX. During the training process, there is an introduction and implementation of UI and UX concepts. The results of the Pre-Test showed that 90% of the students were not familiar with UI and UX. The Post-Test results confirm that, overall, this community engagement in the industrial class on UI and UX has successfully improved the knowledge of the students of SMKN 4 Bandung, with a N-gain score of 0.45 considered medium improvement.
PENGARUH PROFITABILITAS DAN LEVERAGE TERHADAP NILAI PERUSAHAAN (Pada Perusahaan Property dan Real Estate yang Terdaftar di BEI Periode 2018-2022)
Authors: Satria Satria , Ramli Anwar , Amin Andi Mustika
Published: August 2024

Abstrak. Penelitian ini bertujuan untuk mengetahui dan menganalisis Pengaruh Profitabilitas ( ROA dan ROE) dan Leverage ( DAR dan DER ) Terhadap Nilai Perusahaan Property dan Real Estate yang Terdaftar di BEI Periode 2018-2022. Penelitian ini menggunakan metode kuantitatif yang bertujuan untuk mengetahui pengaruh variabel bebas terhadap variabel terikat dan seberapa besar pengaruh dua variabel atau lebih. Jenis data yang digunakan adalah data kuantitatif dengan sumber data sekunder yang terdiri dari data laporan keuangan Perusahaan Property dan Real Estate yang Terdaftar di BEI Periode 2018-2022 . Metode analisis yang digunakan adalah regresi linear berganda, uji t dan uji f untuk memperoleh hasil mengenai pengaruh variabel independent terhadap variabel dependen. Hasil peelitian menunjukkan bahwa secara parsial Return On Asset berpengaruh positif terhadap nilai perusahaan, Return on Equity berpengaruh Negatif terhadap nilai perusahaan, Debt to Ratio berpengaruh Positif terhadap Nilai Perushaan dan Debt to Equity Ratio Berpengaruh Positif Terhadap Nilai Perusahaan . Sedangkan secara simultan Return On Asset, Return On Equity, Debt to Ratio dan Debt to Equity Ratio  secara bersama sama berpengaruh terhadap Nilai Perusahaan .Kata kunci: Return On Asset, Return On Equity, Debt to Ratio dan Debt to Equity Ratio, Nilai  PerusahaanAbstract . This research aims to determine and analyze the influence of profitability (ROA and ROE) and leverage (DAR and DER) on the value of property and real estate companies listed on the IDX for the 2018-2022 period. This research uses a quantitative method which aims to determine the influence of the independent variable on the dependent variable and how big the influence of two or more variables is. The type of data used is quantitative data with secondary data sources consisting of financial report data from property and real estate companies listed on the IDX for the 2018-2022 period. The analytical method used is multiple linear regression, t test and f test to obtain results regarding the influence of the independent variable on the dependent variable. The research results show that partially Return on Assets has a positive effect on company value, Return on Equity has a negative effect on company value, Debt to Ratio has a positive effect on company value and Debt to Equity Ratio has a positive effect on company value. Meanwhile, simultaneously Return On Assets, Return On Equity, Debt to Ratio and Debt to Equity Ratio together have an effect on Company Value.Keywords : Return On Asset, Return On Equity, Debt to Ratio dan Debt to Equity Ratio, the value of the company