bluuebunny/crossref_metadata_2025_split huggingface dataset:
تأثير حقن الستيرويد البنائي السستانون وزيت السمسم على مستويات أنزيمات الكبد مع التغيرات النسجية المرضية في ذكور الجرذان
Authors: علي شلش سلطان  , رشا عبد الامير عبد اللطيف  
Published: May 2023

هدفت الدراسة الحالية الى معرفة تأثير حقن السستانون وهو من المركباتالستيرويدية البنائية وكذلك زيت السمسم على بعض الوظائف الفسيولوجية في كبد ذكورالجرذان والتي شملت قياس مستويات أنزيمات الكبد ( ‎٨‏ , 567 , 5607 ) أماالدراسة النسجية المرضية فقد تضمنت التغيرات النسجية المرضية التي يحدثها السستانونوزيت السمسم في أكباد الجرذان . تضمنت حيوانات التجربة 25 جرذيا َ ذكرا َ من نوع لع - عوالتي قسمت الى خمسة مجاميع أضافية ( 5018:0005 ) بالتساوي . ضمت مجاميعالسيطرة السالبة ( علف وماء ) ؛ المجموعة الثانية سيطرة موجبة ( 1 مل / كغم من وزنالجسم زيت السمسم جرعة واطئة ) المجموعة الثالثة سيطرة موجبة ( 2 مل / كغم منوزن الجسم زيت السمسم جرعة عالية ) المجموعة الرابعة سستانون ( 10 ملغم كغممن وزن الجسم جرعة واطئة ) ؛ المجموعة الخامسة سستانون ( 20 ملغم / كغم منوزن الجسم جرعة عالية ) .حقنت مجاميع الحيوانات أسبوعيا لمدة 6 أسابيع بالسستانونوزيت السمسم بالعضل ثم قتلت في نهاية الاسبوع السادس .بينت النتائج أرتفاعاً معنويا( 0>0.05) في مستويات أنزيمات الكبد ‎57,٨](‏ , 607ك) في المجاميعالمحقونة بالسستانون ( 10 و 20 ملغم / كغم من وزن الجسم ) .بينما اظهرت مجموعتي
السيطرة على عوائد ومخاطر المشتقات المالية
Authors: ا. م. د قاسم هادي موسى  , م. م. محمد عبد اللطيف خطاب  
Published: May 2023

تمثل المشتقات عقود ماليه تتعلق بفقرات خارج نطاق الميزانيه وتحدد قيمتها
استنادا الى مؤشرات او ادوات مرتبطه بها . ولذلك جاءت عملية ادارتها والسيطره على
عوائدها والمخاطر الناجمه عن ذلك من المهام الاساسيه للمالك او للذي يتخذ القرار المالي
(مصرف ؛ مؤسسه ماليه ) وجاء هذا البحث ليحاول الاجابه على كيفية السيطره على
عوائد هذه المشتقات وان هذه المهمه تم معالجتها من خلال ثلاثة فصول واستنتاجات
وتوصيات :
الفصل الاول - المشتقات مفهومها وانواعها وادارتها .
الفصل الثاني - المخاطره ومفهومها وانواعها .
الفصل الثالث - المخاطره والعائد .

ان التعامل مع المشتقات وادارتها وتحقيق الكسب المادي المطلوب تتم وفق خبرة
وكفاءة صاحب القرار لذلك جاءت عملية تاهيل هذا الشخص وتوفير قاعدة بيانات له في
مقدمة الامور التي يحتاجها لاتخاذ القرار المناسب .
PENINGKATAN HASIL BELAJAR BIOLOGI MELALUI MODEL PEMBELAJARAN KOOPERATIF TIPE NUMBERED HEAD TOGETHER (NHT) DI SMA NEGERI 2 LUBUKLINGGAU
Authors: Vidya Bunaya  
Published: May 2023

Penelitian ini bertujuan untuk mengetahui: bagaimana penerapan model pembelajaran kooperatif tipe numbered head together (NHT) dalam pembelajaran biologi materi pokok Virus di kelas X MIA 3 SMA Negeri 2 Lubuklinggau serta mengetahui seberapa besar model pembelajaran kooperatif tipe numbered head together (NHT) mampu meningkatkan basil belajar biologi materi pokok Virus di kelas X MIA 3 SMA Negeri 2 Lubuklinggau. Penelitian ini merupakan Penelitian Tindakan Kelas (PTK). Dalam penelitian ini peneliti menggunakan satu kelas untuk menerapkan model pembelajaran kooperatif tipe numbered head together (NHT) yaitu kelas X MlA 3 SMA Negeri 2 Lubuklinggau yang jumlahnya ada 36 peserta didik. Penelitian ini dilaksankan dalam tiga tahap, tahap pertama adalah kegiatan pra siklus, yaitu mencari data hasil belajar siswa kelas X MIA 3 SMA Negeri 2 Lubuklinggau Tahun sebelumnya untuk materi virus. Hal ini penting untuk dijadikan dasar nilai awal. Tahap kedua adalah pelaksanaan siklus I, siklus II dan siklus III. Sedangkan tahap ketiga yaitu penyempurnaan data dan penyusunan laporan. Pada kondisi awal sebelum diterapkan model pembelajaran kooperatif tipe NHT, hasil belajar peserta didik sangat rendah yaitu rata-rata basil belajar hanya 61,36 dengan ketuntasan belajar 40%. Setelah dilaksanakan model pembelajaran kooperarif tipe NHT aktivias dan hasil belajar pesert.a didik meningkat. Pada siklus I. prosentase aktivitas belajar antar peserta didik sebesar 65,40% dan prosentase aktivitas belajar peserta didik dengan guru sebesar 59,42% dengan iata-rata hasil beiajar peserta didik 63,87 dan ketuntasan belajar 52, 17%. Pada siklus II, prosentase aktivitas belajar antar peserta didik sebesar 76,27% dan prosentase aktivitas belajar peserta didik dengan guru sebesar 78,25% dengan rata-rata basil belajar 74,44 dan ketuntasan belajar 71, 74%. Sedangkan pada siklus III, prosentase aktivitas belajar antar peserta didik sebesar 82,33% dan prosentase aktivitas belajar peserta didik dengan guru sebesar 84,58% dengan rata-rata basil belajar 83,57 dan ketuntasan belajar 93,48%. Dari data tersebut, jelas bahwa ada peningkatan aktivitas belajar dan hasil belajar dari sebelurn diterapkannya model pembelajaran kooperatif tipe NHT dengan setelah model pembelajaran tersebut diterapkan.
Kata kunci : Hasil Belajar, NHT, PTK
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs
Authors: Liang Youwei , Zhang Ruiyi , Zhang Li , Xie Pengtao 
Published: May 2023

<p>A ChatGPT-like system for drug compound analysis could be a game-changer in pharmaceutical research, accelerating drug discovery, enhancing our understanding of structure-activity relationships, guiding lead optimization, aiding drug repurposing, reducing the failure rate, and streamlining clinical trials. In this work, we make an initial attempt towards enabling ChatGPT-like capabilities on drug molecule graphs, by developing a prototype system DrugChat. DrugChat works in a similar way as ChatGPT. Users upload a compound molecule graph and ask various questions about this compound. DrugChat will answer these questions in a multi-turn, interactive manner. The DrugChat system consists of a graph neural network (GNN), a large language model (LLM), and an adaptor. The GNN takes a compound molecule graph as input and learns a representation for this graph. The adaptor transforms the graph representation produced by the GNN into another representation that is acceptable to the LLM. The LLM takes the compound representation transformed by the adaptor and users' questions about this compound as inputs and generates answers. All these components are trained end-to-end. To train DrugChat, we collected instruction tuning datasets which contain 10,834 drug compounds and 143,517 question-answer pairs. The code and data is available at https://github.com/UCSD-AI4H/drugchat</p>
The Anatomy of Cyber Risk
Authors:   All Souls College, University of Oxford, rustam.jamilov@allsouls.ox.ac.uk., Jamilov Rustam , Rey Hélène ,   London Business School, CEPR, and NBER, hrey@london.edu., Tahoun Ahmed ,   London Business School, atahoun@london.edu.
Published: May 2023

This paper employs computational linguistics to introduce a novel text-based measure of firm-level cyber risk exposure based on quarterly earnings conference calls of listed firms. Our quarterly measures are available for more than 13,000 firms from 85 countries over 2002-2021. We document that cyber risk exposure predicts cyber attacks, affects stock returns and profits, and is priced in the equity option market. The cost of option protection against price, variance, and tail risks is greater for more cyber-exposed firms. Cyber risks spill over across firms and persist at the sectoral level. The geography of cyber risk exposure is well approximated by a gravity model extended with cross-border portfolio flows. Back-of-the-envelope calculations suggest that the global cost of cyber risk is over $200 billion per year.
Pengabdian Masyarakat Bantuan Prosthesis bagi Penyandang Disabilitas di Komunitas Satu Hati Klaten
Authors: Rachmat Nur , Kuncoro Bambang , Firmanurulita Fadhila 
Published: May 2023

Penyandang disabilitas yang mengalami amputasi memerlukan prosthesis atau kaki palsu untuk membantu aktivitas sehari – hari. Harga prosthesis yang cukup mahal berdampak pada beberapa anggota komunitas satu hati tidak mampu untuk membeli produk prostesis. Tujuan Pengabdian masyarakat pada komunitas satu hati ini adalah untuk pemberdayaan para penyandang disabilitas dan mendapatkan bantuan prosthesis. Kegiatan dilakukan dalam tujuh bulan pada bulan April – Oktober 2022. Kegiatan pengabdian kepada masyarakat ini dilaksanakan melalui tahap persiapan, tahap pelaksanaan dan tahap evaluasi. Persiapan dilakukan dengan melakukan survey pendahuluan untuk melihat kondisi di lapangan dan memperoleh izin kegiatan di komunitas satu hati. Kegiatan yang dilakukan berupa program pengabdian masyarakat bantuan prosthesis bagi penyandang disabilitas di komunitas satu hati. Pemberian kaki palsu berupa transitibial prosthesis untuk anggota komunitas satu hati dan kegiatan penyuluhan tentang penggunaan prosthesis dan peningkatan kualitas hidup bagi pengguna prosthesis. Hasil kegiatan adalah terlaksananya pemberian transtibial prosthesis dan telaksananya penyuluhan di komunitas satu hati klaten. Pelaksana kegiatan dosen dan mahasiswa serta di bantu pihak pengurus dan anggota komunitas satu hati.
A machine learning based approach to identify key drivers for improving corporate’s esg ratings
Authors: Dwivedi Dwijendra , Batra Saurabh , Pathak Yogesh Kumar 
Published: May 2023

Investors increasingly non-financial factors as part of their risk analysis process and growth assessments of corporates. Machine learning (ML) models for predicting ESG scores are an extremely useful tool to help investors make more informed decisions on their portfolios. Such a tool with wide-encompassing alternative data can be useful to the investors. The use of such datasets and machine learning models for ESG ratings can continuously improve the accuracy and reliability of those models. Using machine learning algorithms to identify key drivers of ESG ratings is an effective way of improving portfolio performance. Although the current state of ESG ratings is relatively static, data collection and mapping methodologies are evolving. As more data becomes available, the noise in ESG factors will become less important.
This unique document provides a machine learning algorithm for predicting an ESG rating based on a company's financial and non-financial attributes. The financial and non-financial attributes of corporations are extracted from Moody's Orbis and Ratings from S&P. The objective here is to predict the ESG rating of companies where the ESG rating is not easily accessible. At the same time, this approach would allow investors to have a suitable framework for investments based on ESG ratings. With the latest financial and non-financial disclosure by a corporate an ESG score can be predicted which can be used to identify its riskiness with a corresponding increase/decrease of ESG score.
PERANCANGAN RESTORAN TERAS BUMBU DENGAN PENDEKATAN BRANDING OLEH SKALARITME STUDIO
Authors: Hafid Abdul , Indrawan Stephanus Evert 
Published: May 2023

Tulisan ini dilatarbelakngi oleh meningkatnya jumlah tempat Komersial di Malang. Malang, yang membuat persaingan bisnis semakin ketat. Tempat komersial seperti restoran membutuhkan strategi branding yang tepat, salah satunya dengan mengolah interior dan eksterior bangunan. Oleh karena itu Skalaritme Studio hadir untuk menjawab permasalahan tersebut. Skalaritme Studio merupakan konsultan arsitektur interior yang bergerak di bidang komersial dengan pendekatan branding.
Pada Proyek perancangan ini, penulis mendapat kesempatan untuk menangani Restoran Restoran Teras Bumbu yang berlokasi di Jl. Sulfat No.4A, Pandanwangi, Kota Malang, Jawa Timur. Restoran ini merupakan Restoran Keluarga yang mengangkat tema feels like home, seperti berada di teras rumah yang nyaman. Namun di site Restoran Teras Bumbu terdapat permasalahan berupa desain yang monoton sehingga belum mencerminkan brand imagenya dan penataan ruang yang kurang efisien yang juga berdampak terhadap sirkulasi dan pola aktivitas pemakainya. Oleh karena itu Penulis berkeingnan untuk membenahi permasalahan tersebut. Konsep yang diajukan adalah dengan mengimplementasikan brand image Restoran Teras Bumbu dalam elemen desainnya sehingga dapat memunculkan suasana seperti berada di teras rumah yang nyaman serta mengutamakan penataaan ruang yang efektif bagi pemakainya sehingga tidak hanya menonjolkan aspek estetika saja namun juga aspek fungsional.
Chemical Compositions Of Red Giant Stars in the Old Open Cluster NGC 7789
Authors: Nagarajan Neel , Sneden Christopher , Afşar Melike , Pilachowski Catherine A. 
Published: May 2023

Abstract
We have gathered optical-region spectra, derived model atmosphere parameters, and computed elemental abundances for 15 red giant stars in the open cluster NGC 7789. We focus on the light element group CNOLi that provides clues to evolutionary changes associated with internal fusion events and chemical mixing. We confirm and extend an early report that NGC 7789 stars 193 and 301 have anomalously large Li abundances, and that these values are apparently unconnected to any other elements’ abundances in these stars. A companion study of He i
λ10830 lines in both field stars and cluster members shows that star 301 has a strong He feature while star 193 does not. Possible explanations for the large Li abundances of these stars include helium flash-induced mixing events and binary interactions at some past or present times. In either case an internal eruption of energy could cause fresh synthesis of lithium via the Cameron-Fowler Berillyum transport mechanism. Rapid transport of lithium to the outer layers may have created significant chromospheric transient disturbances, producing enough helium ionization to allow for the strong λ10830 absorption in star 301.
Observing Atmospheric Escape in Sub-Jovian Worlds with JWST
Authors: Dos Santos Leonardo A. , Alam Munazza K. , Espinoza Néstor , Vissapragada Shreyas 
Published: May 2023

Abstract
Hydrodynamic atmospheric escape is considered an important process that shapes the evolution of sub-Jovian exoplanets, particularly those with short orbital periods. The metastable He line in the near-infrared at 1.083 μm is a reliable tracer of atmospheric escape in hot exoplanets, with the advantage of being observable from the ground. However, observing escaping He in sub-Jovian planets has remained challenging due to the systematic effects and telluric contamination present in ground-based data. With the successful launch and operations of JWST, we now have access to extremely stable high-precision near-infrared spectrographs in space. Here we predict the observability of metastable He with JWST in two representative and previously well-studied warm Neptunes, GJ 436 b (T
eq = 687 K, R
p = 0.37 R
J) and GJ 1214 b (T
eq = 588 K, R
p = 0.25 R
J). Our simulated JWST observations for GJ 436 b demonstrate that a single transit with NIRSpec/G140H is sensitive to mass-loss rates that are two orders of magnitude lower than what is detectable from the ground. Our exercise for GJ 1214 b show that the best configuration to observe the relatively weak outflows of warm Neptunes with JWST is with NIRSpec/G140H, and that NIRSpec/G140M and NIRISS/SOSS are less optimal. Since none of these instrument configurations can spectrally resolve the planetary absorption, we conclude that the 1D isothermal Parker-wind approximation may not be sufficient for interpreting such observations. More sophisticated models are critical for breaking the degeneracy between outflow temperature and mass-loss rate for JWST measurements of metastable He.
Explosion Mechanism of Core-collapse Supernovae: Role of the Si/Si–O Interface
Authors: Boccioli Luca , Roberti Lorenzo , Limongi Marco , Mathews Grant J. , Chieffi Alessandro 
Published: May 2023

Abstract
We present a simple criterion to predict the explodability of massive stars based on the density and entropy profiles before collapse. If a pronounced density jump is present near the Si/Si–O interface, the star will likely explode. We develop a quantitative criterion by using ∼1300 1D simulations where ν-driven turbulence is included via time-dependent mixing-length theory. This criterion correctly identifies the outcome of the supernova more than 90% of the time. We also find no difference in how this criterion performs on two different sets of progenitors, evolved using two different stellar evolution codes: FRANEC and KEPLER. The explodability as a function of mass of the two sets of progenitors is very different, showing: (i) that uncertainties in the stellar evolution prescriptions influence the predictions of supernova explosions; (ii) the most important properties of the pre-collapse progenitor that influence the explodability are its density and entropy profiles. We highlight the importance that ν-driven turbulence plays in the explosion by comparing our results to previous works.
Diffuse Emission of Galactic High-energy Neutrinos from a Global Fit of Cosmic Rays
Authors: Schwefer Georg , Mertsch Philipp , Wiebusch Christopher 
Published: May 2023

Abstract
In the standard picture of Galactic cosmic rays, a diffuse flux of high-energy gamma rays and neutrinos is produced from inelastic collisions of cosmic-ray nuclei with the interstellar gas. The neutrino flux is a guaranteed signal for high-energy neutrino observatories such as IceCube but has not been found yet. Experimental searches for this flux constitute an important test of the standard picture of Galactic cosmic rays. Both observation and nonobservation would allow important implications for the physics of cosmic-ray acceleration and transport. We present CRINGE, a new model of Galactic diffuse high-energy gamma rays and neutrinos, fitted to recent cosmic-ray data from AMS-02, DAMPE, IceTop, as well as KASCADE. We quantify the uncertainties for the predicted emission from the cosmic-ray model but also from the choice of source distribution, gas maps, and cross sections. We consider the possibility of a contribution from unresolved sources. Our model predictions exhibit significant deviations from older models. Our fiducial model is available at https://doi.org/10.5281/zenodo.7859442
.
Predicting Short-duration GRB Rates in the Advanced LIGO Volume
Authors: Dimitrova Tzvetelina A. , Butler Nathaniel R. , Ravi Srihari 
Published: May 2023

Abstract
Starting with models for the compact object merger event rate, the short-duration gamma-ray burst (sGRB) luminosity function, and the Swift-BAT detector, we calculate the observed Swift sGRB rate and its uncertainty. Our probabilistic sGRB world model reproduces the observed number distributions in redshift and flux for 123 Swift-BAT detected sGRBs and can be used to predict joint sGRB/LIGO detection rates. We discuss the dependence of the rate predictions on the model parameters and explore how they vary with increasing experimental sensitivity. In particular, the number of bursts in the LIGO volume depends strongly on the parameters that govern sGRB beaming. Our results suggest that nearby sGRBs should be observed to have broader jets on average (θ
jet ≳ 30°), as compared to the narrowly beamed appearance of cosmological sGRBs due to the detection-selection effect driving the observed jet angle. Assuming all sGRBs are due to compact object mergers, within a D < 200 Mpc aLIGO volume, we predict

0.18

−
0.08

+
0.19

sGRB–gravitational wave (GW) associations all sky per year for on-axis events at Swift sensitivities, increasing to

1.2

−
0.6

+
1.9

with the inclusion of off-axis events. We explore the consistency of our model with GW170817/GRB 170817A in the context of structured jets. Predictions for future experiments are made.
The S-Web Origin of Composition Enhancement in the Slow-to-moderate Speed Solar Wind
Authors: Lynch B. J. , Viall N. M. , Higginson A. K. , Zhao L. , Lepri S. T. , Sun X. 
Published: May 2023

Abstract
Connecting the solar wind observed throughout the heliosphere to its origins in the solar corona is one of the central aims of heliophysics. The variability in the magnetic field, bulk plasma, and heavy ion composition properties of the slow wind are thought to result from magnetic reconnection processes in the solar corona. We identify regions of enhanced variability and composition in the solar wind from 2003 April 15 to May 13 (Carrington Rotation 2002), observed by the Wind and Advanced Composition Explorer spacecraft, and demonstrate their relationship to the separatrix–web (hereafter, S-Web) structures describing the corona’s large-scale magnetic topology. There are four pseudostreamer (PS) wind intervals and two helmet streamer (HS) heliospheric current sheet/plasma sheet crossings (and an interplanetary coronal mass ejection), which all exhibit enhanced alpha-to-proton ratios and/or elevated ionic charge states of carbon, oxygen, and iron. We apply the magnetic helicity–partial variance of increments (H

m
–PVI) procedure to identify coherent magnetic structures and quantify their properties during each interval. The mean duration of these structures are ∼1 hr in both the HS and PS wind. We find a modest enhancement above the power-law fit to the PVI waiting-time distribution in the HS-associated wind at the 1.5–2 hr timescales that is absent from the PS intervals. We discuss our results in the context of previous observations of the ∼90 minutes periodic density structures in the slow solar wind, further development of the dynamic S-Web model, and future Parker Solar Probe and Solar Orbiter joint observational campaigns.
On the Recent Discovery of Coronal [Fe x]λ6374 Emission in the Low-metallicity Dwarf Galaxy SDSS J0944-0038
Authors: Herenz E. C. , Micheva G. , Weilbacher P. M. , Monreal-Ibero A. , Hayes M. , Anders F. , Rivinius T. 
Published: May 2023

Abstract
Coronal emission lines, especially the [Fe x]λ6374 line, are now being used as tracers for intermediate mass black holes (IMBHs) in low-mass galaxies. We show that the recent discovery of [Fe x]λ6374 emission in the metal-poor starburst SDSS J094401.87-003832.1 by Reefe et al. is, in fact, a misidentified line. The line interpreted as [Fe x]λ6374 is Si ii
λ6371. We caution that current and future campaigns hunting for IMBHs with the [Fe x]λ6374 line need to account for possible contamination by Si ii
λ6371 emission.
Expression of Salivary Immediate Early Response Gene X-1 as a Predictor of Malignancy in Epithelial Ovarian Tumor
Authors: Nasution Hiro , Purwoto Gatot , Winarto Hariyono , Andrijono Andri , Putra Andi Darma , Utami Tofan Widya , Kekalih Aria 
Published: May 2023

Objective: This diagnostic study aims to determine the expression of salivary IEX-1 as a predictor of malignancy in epithelial ovarian tumors.
Methods: Samples were obtained from ovarian cancer patients who were scheduled for elective surgery. Patients' saliva was collected before surgery and used as the study's research material. Research subjects who met the inclusion and exclusion criteria were divided into two groups based on the post-operative histopathological results, benign and malignant epithelial ovarian tumors. The salivary IEX-1 expression was examined using the Real Time qPCR method. We compared and analyzed the salivary IEX-1 expression ​​in benign and malignant epithelial ovarian tumors.
Results: The results of this study were obtained from 47 epithelial ovarian tumors subjects, 22 malignant tumors and 27 benign tumors. The mean salivary IEX-1 expression in benign epithelial ovarian tumors was higher (1.976) than the malignant tumors (0.554) (p<0.001). The AUC value of IEX-1 expression was 0.949 (95% CI 0.894-1,000), cut off point of salivary IEX-1 is ≥ 0,9115 with sensitivity 84%, specificity 86,4%, positive predictive value 82.6% and negative predictive value 87.5%. There was a significant correlation between salivary IEX-1 expression and malignant epithelial ovarian tumors with an OR 5.031 (95% CI 2.039-12.4; p<0,001)
Conclusion: Salivary IEX-1 expression declines in tandem with the development of malignant epithelial ovarian tumors, providing a very sensitive and specific indicator of the presence of these malignant tumors.
Keywords: Expression of IEX-1, Malignant epithelial ovarian tumor, Salivary IEX-1, Tumor Marker.