bluuebunny/crossref_metadata_2025_split huggingface dataset:
Calibration of multivariable plasticity parameters using classical optimization methods for porous rocks
Authors: Sanei Manouchehr , Devloo Philippe R.B. , Forti Tiago L.D. , Duran Omar , S Erick S.R. , Feng Yongcun 
Published: June 2023

Abstract
Optimization is a branch of applied mathematics which is used extensively in almost all areas of decision-making. In particular, classical method is a kind of the optimization methods that can be applied to make decisions. The optimization method can only make a better decision if the algorithm starts with an appropriate initial data. The main purpose of this study is two-folds. First, the material parameters of multivariable plasticity models, such as Mohr-Coulomb and DiMaggio-Sandler are calibrated via the gradient based optimization method by considering the appropriate initial data from porous rock database. Moreover, the calibration of models is done by the methods presented in the Nlopt library with considering the same objective functions and the same initial guess for each parameter. Then, a home-made finite element simulator is used to evaluate the correctness of the proposed material parameters identification framework. The results show the capability of the proposed optimization framework to determine properly the material parameters of multivariable plasticity models.
Reliability Evaluation of Reinforcement Learning Methods for Mechanical Systems with Increasing Complexity
Authors: Manzl Peter , Rogov Oleg , Gerstmayr Johannes , Mikkola Aki , Orzechowski Grzegorz 
Published: June 2023

Abstract
Reinforcement Learning (RL) is one of the emerging fields of Artificial Intelligence (AI) intended for designing agents that take actions in the physical environment. RL has many vital applications, including robotics and autonomous vehicles. The key characteristic of RL is its ability to learn from experience without requiring direct programming or supervision. To learn, an agent interacts with an environment by acting and observing the resulting states and rewards. In most practical applications, an environment is implemented as a virtual system due to cost, time, and safety concerns. Simultaneously, Multibody System Dynamics (MSD) is a framework for efficiently and systematically developing virtual systems of arbitrary complexity. MSD is commonly used to create virtual models of robots, vehicles, machinery, and humans. The features of RL and MSD make them perfect companions in building sophisticated, automated, and autonomous mechatronic systems. The research demonstrates the use of RL in controlling multibody systems. While AI methods are used to solve some of the most challenging tasks in engineering, their proper understanding and implementation are demanding. Therefore, we introduce and detail three commonly used RL algorithms to control the inverted N-pendulum on the cart. Single-, double-, and triple-pendulum configurations are investigated, showing the capability of RL methods to handle increasingly complex dynamical systems. We show 2D state space zones where the agent succeeds or fails the stabilization. Despite passing randomized tests during training, "blind spots" may occur where the agent's policy fails. Results confirm that RL is a versatile, although complex, control engineering approach.
Evaluation and optimization of drilling efficiency while drilling based on improved rock-breaking specific energy model of bit
Authors: Song Weiqiang , Mu huidong , Zhao Zhiqiang , Han Xu , Yu Haiyang , Kong Lulin , Hou Wenhui 
Published: June 2023

Abstract

Rock-breaking specific energy model of bit is the key foundation of evaluation and optimization of downhole drilling condition, while some necessary parameters for the existing models is difficult to measure directly while drilling. Aiming to improve the accessibility and accuracy of the model, this study proposes and illustrates an improved method by combining field tests and logging while drilling. The improved model was used to distinguish the inefficient drilling conditions and then to optimize drilling parameters. The results of application cases show that, the necessary parameters for the improved model could be obtained in time and the improved model helps to distinguish the reasons of stick-slip, whirling, load transfer difficulties in different horizontal wells. Based on the proposed model, the drilling parameters were evaluated and optimized, and then the rate of penetration (ROP) get improved by 90.5% with higher energy efficiency. The proposed model and method could facilitate to realize automated and intelligent drilling.
Competitive effects between gravitational radiation and mass variation for two-body systems in circular orbits
Authors: Blachier Baptiste , Barrau Aurelien , Martineau Killian , Renevey Cyril 
Published: June 2023

Abstract
This work provides, at lower order, general analytical solutions for the orbital separation, merging time, and orbital frequency of binary systems emitting gravitational waves while being submitted to mass variations. Specific features, depending on the exponent of the mass derivative, are investigated in details. Two phenomenologically interesting cases are explicitly considered : i) binaries formed by two light primordial black holes submitted to Hawking evaporation and ii) bodies driven by a Bondi accretion of phantom dark energy. It is shown that three different regimes arise, including an intricate non-monotonic behaviour of the system. We study subtle imprints that could be associated with those phenomena. A careful analysis of the conditions of validity of the different hypotheses performed is finally carried out.
Structural, optical, and dielectric properties of PMMA/PEO blend loaded with TiO 2 /V/TBAI
Authors: El-naggar A. M. , Heiba Zein K. , Kamal A. M. , Mohamed Mohamed Bakr 
Published: June 2023

Abstract
Blended polymer films based on poly (methyl methacrylate) (PMMA), and poly ethylene oxide (PEO), vanadium doped nano titanium dioxide (TiO2/V) and different amount of tetrabutylammonium iodide (TBAI) were formed by the sol gel and solution casting methods. Rietveld refinement for synchrotron x-ray diffraction was used to investigate structure and microstructure of TiO2/V sample. The X-ray diffraction (XRD) and scanning electron microscopy (SEM) studies revealed the incorporation of the fillers in the prepared blends. The degree of roughness of different films were explored using SEM technique. The effect of TiO2/V and TBAI doping on linear/nonlinear optical parameters, dielectric constant, electric modulus, energy stored and ac conductivity of PMMA/PEO blend was studied using diffused reflectance and LCR meter techniques. The blended polymer's direct and indirect band gaps (5.03, 4.96) eV shrank to (4.99, 4.64) eV as it loaded with TiO2/V and reduced further (4.33, 4.02) eV as it loaded with TBAI. At 500 nm, the refractive (n) value of undoped blend is 1.76 and blend with TiO2/V and 2.5 wt % TBAI has the highest n value (2.16) while blend with TiO2/V and 10 wt % TBAI has the lowest n value (2.06). The influence of doping on the emitted colors from each blend was explored using fluorescence technique and CIE diagram. The controllable optical and electrical features reveal that the PMMA/PEO with TiO2/V and TBAI blends could be potential optical materials in the advances of futuristic flexible-type optoelectronic devices.
Entangled photon pair generation in an integrated silicon carbide platform
Authors: Anouar Rahmouni , Ma Lijun , Wang Ruixuan , Li Jingwei , Tang Xiao , Gerrits Thomas , Li Qing , Slattery Oliver 
Published: June 2023

Abstract
Entanglement plays a vital role in quantum information processing. Owing to its unique material properties, silicon carbide recently emerged as a promising candidate for the scalable implementation of advanced quantum information processing capabilities. To date, however, in silicon carbide only entanglement of nuclear spins has been reported, while an entangled photon source, whether it is based on bulk or chip-scale technologies, remains elusive. Here, we report the first demonstration of an entangled photon source in an integrated silicon carbide platform. Specifically, strongly correlated photon pairs are efficiently generated at the telecom C-band wavelength through implementing spontaneous four-wave mixing in a compact microring resonator in the 4H-silicon-carbide-on-insulator platform. Energy-time entanglement is created and verified for such signal-idler photon pairs, with the two-photon interference fringes exhibiting a visibility larger than 99%. The heralded single-photon properties are also measured, with the heralded g(2)(0) on the order of 10− 3, demonstrating the CMOS-compatible integrated platform as a prospective fully integrated CMOS-compatible single-photon source for quantum applications.
Evaluation of chemical composition of urinary calculi in vivo based on gray scale ultrasound
Authors: Liu Ning ning , Wang Xiao yi , Li Jing , Xie Hai jie 
Published: June 2023

Abstract
Objective The purpose of this study was to preliminarily predict the chemical composition of urinary calculi using ultrasound in vivo. Methods A retrospective analysis was performed on the data of 267 patients with urinary calculi, including non-contrast computed tomography (NCCT) and ultrasound imaging data obtained before intervention, as well as the chemical composition after intervention. Statistical analysis was performed on the Hounsfield unit (HU) value of the calculi, the grayscale value of the calculi, and the grayscale value of the posterior acoustic shadow of the calculi on ultrasound. Results The chemical composition analysis indicated that there were four types of mixed calculi; the main components were calcium oxalate monohydrate (COM) calculi, calcium oxalate dihydrate (COD) calculi, carbonate apatite (CA) calculi and anhydrous uric acid (UA0) calculi. The HU value discriminated between calcium-containing calculi and UA0 calculi, with a cut-off value of 644.00, a sensitivity of 88.00% and a specificity of 95.04%, and P < 0.001. The grayscale value of the calculi on ultrasound discriminated between calcium-containing calculi and UA0 calculi with a cut-off value of 200.29, a sensitivity of 38.84% and a specificity of 96.00%, P < 0.001. The grayscale value of the posterior acoustic shadow of the calculi on ultrasound discriminated between CA calculi and UA0 calculi with a cut-off value of 31.48, a sensitivity of 58.33% and a specificity of 84.00%, and P = 0.011. Conclusion Ultrasound can preliminarily distinguish the chemical composition of urinary calculi and provide certain information for clinicians to choose treatment plans.
Natural overgrowth of sand quarries in the conditions of the Western Siberian north taiga plain forest region
Authors: Морозов А.Е. , Белов Л.А. , Башегуров К.А. , Залесов С.В. , Розинкина Е.П. 
Published: June 2023

Проанализировано зарастание выработанных песчаных карьеров в условиях Западно-Сибирского северо-таежного равнинного лесного района. На основании пробных площадей установлены количественные и качественные показатели подроста, сформировавшегося на выработанных песчаных карьерах. Установлено, что процесс естественного зарастания растягивается на длительный срок. Даже спустя 35-40 лет после прекращения добычи песка количества подроста на большинстве пробных площадей недостаточно для перевода карьера в покрытые лесной растительностью земли. Причинами медленного зарастания карьеров древесной растительностью являются перевевание песка ветром, низкое плодородие песчаного субстрата и недостаток семян. Для ускорения процесса зарастания рекомендуется покрытие поверхности выработанного карьера слоем торфо-песчаной смеси толщиной 15- 20 см, а также закрепление песка посевом или посадкой трав. При расстоянии до надежных обсеменителей (стена леса) более 100 м целесообразно проведение полного комплекса рекультивационных работ, включающего покрытые поверхности слоем торфо-песчаной смеси и создание лесных культур сосны обыкновенной. Сочетание естественного и искусственного лесовосстановления позволит минимизировать затраты на проведение рекультивационных работ и ускорит вовлечение нарушенных земель в лесохозяйственный оборот.
The article touches upon the overgrowth of developed sand quarries in the conditions of the Western sibirian north taiga plain forest region. On the basis of the trial plots? Quantitative and qualitative indicators of undergrowth formed in the depleted sand quarries were established. It has been established that the process of natural overgrowing stretches for a long period. Even 35-40 years after the cessation of sand mining, the amount of undergrowth on most the trial plots is not enough to transfer the quarry to the lands covered with forest vegetation. The reasons for slow overgrowth of a quarry in woody vegetation is overblowing of the sand by the wind the low fertility of the sandy substrate and the lack of seeds. To accelerate the overgrowth process it is recommended to cover the surface of the worked-out quarry with a layer of plat sand mixture of 15-20 sm, as well as to fix the sand by sowing and grass planting. With a distance to reliable of more than 100 m, it is advisable to carry out a ball range of reclamation works including the surface covering with a layer of plat sand mixture as well as creating forest plantations of pine. A combination of natural and artificial reforestation well minimize the cost of land reclamation and will accelerate the involvement of disturbed lands in forestry turnover.
Desain pembelajaran berbasis assure model pada materi pecahan di Kelas V Sekolah Dasar
Authors: Muharram Muhammad Rijal Wahid , Apriani Ika Fitri , Saputra Erwin Rahayu , Widani Widani , Islamiati Ginna , Ayuningtias Aviva , Putri Irni Rachmawati , Utami Sekar Ayu 
Published: June 2023

Penelitian ini dilatarbelakangi atas pentingnya adaptasi pembelajaran pada masa pandemi covid-19 dan perlunya integrasi teknologi serta penguatan kemampuan berpikir tingkat tinggi peserta didik dalam pembelajaran matematika di Sekolah Dasar. Salah satu desain model pembelajaran yang relevan adalah model ASSURE berbasis pendekatan multi-dimensional SPUR. Pengembangan model ASSURE diharapkan dapat menjadi solusi dan perspektif baru dalam pelaksanaan pembelajaran dengan melibatkan penggunaan teknologi yang semakin berkembang. Selain itu, pendekatan multi-dimensional SPUR dapat mendorong atmosfer pelaksanaan maupun evaluasi pembelajaran yang berbasis kemampuan berpikir tingkat tinggi. Penelitian ini bertujuan untuk: (1) mendeskripsikan desain pembelajaran ASSURE Model; (2) mendeskripsikan implementasi desain pembelajaran ASSURE Model; (3) mengetahui respon siswa terhadap desain pembelajaran model ASSURE berbasis pendekatan multi-dimensional SPUR; dan (4) mengetahui respon guru terhadap desain pembelajaran model ASSURE berbasis pendekatan multi-dimensional SPUR. Jenis penelitian ini adalah design based research dengan model Mc Kenney & Reeves. Penelitian dilaksanakan pada siswa kelas V di salah satu sekolah dasar yang berlokasi di Kota Tasikmalaya dan Kabupaten Ciamis. Metode pengumpulan data yang digunakan pada penelitian yaitu waw ancara, kuesioner, dan studi dokumentasi. Instrumen pengumpulan data yang digunakan yaitu pedoman wawancara, lembar kuesioner, dokumentasi, dan lembar catatan lapangan. Penelitian ini melibatkan dosen, mahasiswa, guru, dan siswa sekolah dasar. Penelitian menghasilkan produk berupa bahan ajar berbasis ASSURE Model pada pembelajaran pecahan di kelas V Sekolah Dasar.Â Â
Kajian implementasi model problem based learning dalam meningkatkan hasil belajar ilmu pengetahuan sosial Siswa Sekolah Dasar
Authors: Sidik Ghany Taufik , Rohaeti Euis Eti , Murni Sukma , Puspita Ryan Dwi 
Published: June 2023

Penelitian ini bertujuan untuk mengkaji bagaimana implementasi model Problem Based Learning dalam meningkatkan hasil belajar ilmu pengetahuan sosial kelas IV jenjang sekolah dasar. Metode dalam penelitian ini menggunakan metode kajian kepustakaan. Adapun Teknik pengumpulan data berupa dokumentasi. Kemudian Instrumen yang digunakan dalam penelitian ini yaitu berupa daftarÂ klasifikasi bahan penelitian dan format catatan dari suatu penelitian. Hasil penelitian ini yakni model Problem Based Learning pada pembelajaran ilmu pengetahuan sosial jenjang kelas IV jenjang sekolah dasar mendapat respon positif dari guru dan siswa secara signifikan. Sehingga terbukti model Problem Based Learning berpengaruh terhadap peningkatan keaktifan guru dan keaktifan siswa yang menimbulkan peningkatan hasil belajar siswa secara signifikan.
1-LB: Evaluating the Effectiveness of the Novel Somatostatin Receptor Antagonist (SSTR2a) ZT-01 for Hypoglycemia Prevention in a Rodent Model of Type 2 Diabetes
Authors: D'SOUZA NINOSCHKA C. , AIKEN JULIAN , HOFFMAN EMILY G. , ATHERLEY SARA C. , CHAMPSI SABRINA , ALEALI NADIA , SHAKERI DORSA , EL-ZAHED MAYA , AKBARIAN NICKY , NEJAD-MANSOURI MEHRAN , LIGGINS RICHARD , CHAN OWEN , RIDDELL MICHAEL C. , ZAREE BAVANI PARINAZ 
Published: June 2023

Background: Few pharmacological strategies exist to prevent hypoglycemia in diabetes, other than reducing the intensity of glucose-lowering therapy. SSTR2a treatment increases glucagon counterregulation and reduces the time spent in hypoglycemia in rodent models of type 1 diabetes (T1D), but the utility of this approach in type 2 diabetes (T2D) is unclear. The purpose of this study was to test the effect of acute SSTR2a treatment in a rodent model of hypoglycemia in T2D.
Methods: High fat fed (HFF), low dose streptozotocin (35 mg/kg) T2D rats received SSTR2a treatment (subcutaneous ZT-01 3 mg/kg) or vehicle (N=9-11/group) 60 min before the induction of hypoglycemia using rapid-acting insulin (12 U/kg). Glycemia, glucagon and c-peptide levels were measured intermittently pre- and post-dosing.
Results: T2D in the rats was characterized by significantly higher baseline glucose (21.8 ± 4.7 vs 6.5 ± 0.7 mmol/L, p&lt;0.05) and HbA1c (8.6 ± 0.6% vs 5.5 ± 0.5%; p&lt;0.0001) levels relative to HFF controls (n=3). T2D rats also displayed reduced c-peptide levels relative to controls (3.1 ± 1.3 vs 6.1 ± 1.2 ng/ml, p&lt;0.05). During hypoglycemic challenge (T2D rats only), SSTR2a elevated glucagon levels relative to vehicle treatment (glucagon Cmax: 156 ± 50 vs 77 ± 46 pg/ml, p&lt;0.01) and reduced the incidence of hypoglycemia by ~40% (5/8 SSTR2a treated vs 9/9 vehicle treated rats). In those that developed hypoglycemia, the average time to hypoglycemia onset was delayed (103.1± 24.6 vs 66.1 ± 23.6 min, p&lt;0.05) with SSTR2a compared to vehicle.
Conclusion: SSTR2a treatment increases glucagon levels in this rodent model of T2D, which appears to reduce the risk for hypoglycemia following bolus insulin dosing.

Disclosure
N. C. D'souza: None. M. Nejad-mansouri: None. R. Liggins: Employee; Zucara Therapeutics, Stock/Shareholder; Zucara Therapeutics. O. Chan: None. M. C. Riddell: Advisory Panel; Zealand Pharma A/S, Zucara Therapeutics, Indigo Diabetes, Consultant; Lilly Diabetes, Eli Lilly and Company, Jaeb Center for Health Research, Speaker's Bureau; Dexcom, Inc., Novo Nordisk, Sanofi, Stock/Shareholder; Supersapiens, Zucara Therapeutics. P. Zaree bavani: None. J. Aiken: None. E. G. Hoffman: None. S. C. Atherley: None. S. Champsi: None. N. Aleali: None. D. Shakeri: None. M. El-zahed: None. N. Akbarian: None.

Funding
GlycoNet (CD-85)
10-OR: The Triple Roles of Tubular Mitochondria AKT in the Regulation of Renal Function, Insulin Resistance, and Body Composition during Development of Diabetic Nephropathy
Authors: SALEM ESAM , TA ALBERT , LIN HUGO Y.H. , LI JUNFENG , WANG PING H. 
Published: June 2023

Diabetic nephropathy is a major cause of end-stage renal disease. We have recently shown translocation of AKT to mitochondria in proximal tubules played a renoprotective role in murine ischemia/reperfusion injury. In this study, we tested the hypothesis that activation of mitochondrial AKT (mito-AKT) signaling in renal proximal tubules improves kidney function in diabetic nephropathy and modulates overall glucose homeostasis. We used renal tubule-specific bigenic mice that harbor tamoxifen-inducible mitochondria-targeting constitutively active AKT1 (KMCAKT), which were fed with either normal chow diet or high fat and fructose diet (HFFD). Wild type mice fed with HFFD developed nephropathy after 24 wks. Activation of renal tubular mito-AKT significantly attenuated urinary albumin, creatinine, and glucose excretion in the KMCAKT mice on HFFD. Interestingly, activation of tubular mito-AKT also decreased fasting hyperglycemia, and improved glucose tolerance of HFFD-fed mice. Insulin resistance (HOMA-IR) was significantly reduced when tubular mito-AKT was activated. In addition, mito-AKT activation reduced plasma cholesterol. Furthermore, mito-AKT activation increased total body weight and fat mass of HFFD-fed mice, but had no effect on their water and food intake. To dissect the underlying mechanism, we used 18F-fluoro-4-thia-oleate PET scan to define organ specific fatty acid uptake, and revealed a significant increase of uptake in white and brown adipose tissues in KMCAKT mice on HFFD. In conclusion, this is the first report to demonstrate critical roles of mitochondrial AKT in renal tubules in the regulation of whole-body metabolism, insulin sensitivity, and body composition beyond its local effect on kidney function in diabetic nephropathy, which suggests kidney function and nephropathy associated metabolic dysfunction could be mediated through a common pathway in tubular mitochondria.

Disclosure
E.Salem: None. A.Ta: None. H.Y.H.Lin: None. J.Li: None. P.H.Wang: Research Support; ViaCyte, Inc.

Funding
Shannon & Amy Ko Foundation