bluuebunny/crossref_metadata_2025_split huggingface dataset:
Amelioration of aluminum-induced hepatic and nephrotoxicity by Premna odorata extract is mediated by lowering MMP9 and TGF-β gene alterations in Wistar rat
Authors: Ahmed Walaa M. S. , Ibrahim Marwa A. , Helmy Nermeen A. , ElKashlan Akram M. , Elmaidomy Abeer H. , Zaki Amr R. 
Published: May 2022

AbstractThis study aims to investigate the effect of Premna odorata (P. odorata) (Lamiaceae) on the hepatic and nephrotoxicity induced by aluminum chloride (AlCl3) in rat. Wistar male rats were equally classified into four groups: control, P. odorata extract (500 mg/kg B.W.), AlCl3 (70 mg/kg B.W.), and P. odorata extract plus AlCl3 groups. All treatments were given orally for 4 weeks. Serum transaminases and some biochemical parameters, hepatic and renal antioxidant/oxidant biomarker; tumor necrosis factor-α (TNF-α); matrix metalloproteinase (MMP9) and transforming growth factor-β (TGF-β) mRNA expression; histopathological examination of the liver, and kidneys were investigated. The obtained results revealed that AlCl3 significantly increased the activities of serum aspartate transaminase, alanine transaminase, and alkaline phosphatase as well as produced a significant increase in total cholesterol, triglyceride, urea, and creatinine concentrations, while there were no changes observed in the total protein, albumin, and globulin concentrations. Also, aluminum administration significantly decreased the reduced glutathione content and increased the catalase activity, malondialdehyde, and TNF-α concentrations in the liver and kidney tissue. Moreover, AlCl3 results in congestion, degeneration, and inflammation of the liver and kidney tissue. Co-treatment of P. odorata extract with AlCl3 alleviated its harmful effects on the previous parameters and reduced the histopathological alterations induced by AlCl3. Therefore, Premna odorata may have a potent protective effect against oxidative stress induced by Al toxicity through downregulation of MMP9 and TGF-β gene expression.
Arsenic in the water and agricultural crop production system: Bangladesh perspectives
Authors: Sandhi Arifin , Yu Changxun , Rahman Md Marufur , Amin Md. Nurul 
Published: May 2022

Abstract
The presence of high levels of carcinogenic metalloid arsenic (As) in the groundwater system of Bangladesh has been considered as one of the major environmental disasters in this region. Many parts of Bangladesh have extensively reported the presence of high levels of arsenic in the groundwater due to both geological and anthropogenic activities. In this paper, we reviewed the available literature and scientific information regarding arsenic pollution in Bangladesh, including arsenic chemistry and occurrences. Along with using As-rich groundwater as a drinking-water source, the agricultural activities and especially irrigation have greatly depended on the groundwater resources in this region due to high water demands for ensuring food security. A number of investigations in Bangladesh have shown that high arsenic content in both soil and groundwater may result in high levels of arsenic accumulation in different plants, including cereals and vegetables. This review provides information regarding arsenic accumulation in major rice varieties, soil-groundwater-rice arsenic interaction, and past arsenic policies and plans, as well as previously implemented arsenic mitigation options for both drinking and irrigation water systems in Bangladesh. In conclusion, this review highlights the importance and necessity for more in-depth studies as well as more effective arsenic mitigation action plans to reduce arsenic incorporation in the food chain of Bangladesh.
Co3O4@NiMoO4 composite electrode materials for flexible hybrid capacitors
Authors: Tong Yongli , Zhang Tengxi , Sun Yuchen , Wang Xiaowei , Wu Xiang 
Published: May 2022

AbstractCo3O4 nanomaterials as electrodes have been studied widely in the past decade due to their unique structural characteristics. However, their performance does not yet reach the level required for practical applications. It is, nevertheless, an effective strategy to synthesize hybrid electrode materials with high energy density. Herein we prepare Co3O4@NiMoO4 nanowires by a two-step hydrothermal method. The as-obtained sample can be directly used as cathode material of supercapacitors; with specific capacitance of 600 C/g at 1 A/g. An assembled capacitor delivers an energy density of 36.1 Wh/kg at 2700 W/kg, and retains 98.2% of the initial capacity after 8000 cycles.
Graphical Abstract
Abelian Integrals and Non-generic Turning Points
Authors: Huzak Renato , Rojas David 
Published: May 2022

AbstractIn this paper we initiate the study of the Chebyshev property of Abelian integrals generated by a non-generic turning point in planar slow-fast systems. Such Abelian integrals generalize the Abelian integrals produced by a slow-fast Hopf point (or generic turning point), introduced in Dumortier et al. (Discrete Contin Dyn Syst Ser S 2(4):723–781, 2009), and play an important role in studying the number of limit cycles born from the non-generic turning point.
Integrated geophysical investigation for understanding agriculturally induced landslides in southern Peru
Authors: Flamme Hanna E. , Krahenbuhl Richard A. , Li Yaoguo , Dugan Brandon , Shragge Jeffrey , Graber Andrew , Sirota Dana , Wilson Gavin , Gonzales Edgard , Ticona Javier , Minaya Armando 
Published: May 2022

AbstractWe conducted near-surface geophysical surveys in and around the Majes I agricultural development (60 km west of Arequipa, Peru), where the nexus of geology and agriculture has increased landslide activity along the Majes–Siguas River Valley. Through DC resistivity, transient electromagnetics (TEM), and seismic surveys, we refined the understanding of local geology, characterized the agricultural impact on the local water table, and updated landslide modeling to help inform discussions on landslide mitigation strategies at Majes I and landslide prevention at the planned Majes II site. At the Majes I development, we identified an increase in water table and water saturation due to irrigation. At the planned Majes II site, which shares similar geology to Majes I, we interpret the regional water table that has yet to be affected by significant human development. We integrated these results into updated landslide modeling. Our modeling for Majes I suggests stable conditions prior to irrigation; as the water table rose from irrigation, landsliding began and evolved as a retrogressive failure that is now focused along the headscarp near critical infrastructure including the Carretera Panamericana (Pan-American Highway). Majes II is currently stable and irrigation management, such as drip versus flood techniques, must be supported. Soil ameliorants such as polymers and/or biochar should be encouraged to hold water near the roots to reduce the risk of landslide initiation. Combined this work shows the value of integrated hydrological and geophysical research for landslide management and optimized irrigation.
Associations between vitamin D status and sight threatening and non-sight threatening diabetic retinopathy: a systematic review and meta-analysis
Authors: Trott Mike , Driscoll Robin , Iraldo Enrico , Pardhan Shahina 
Published: May 2022

Abstract
Background
Vitamin D levels have been shown to be associated with diabetic retinopathy, however to date, no review has examined the relationship between vitamin D and sight threatening diabetic retinopathy (STDR) and non-sight threatening diabetic retinopathy (NSTDR). The aim of this review, therefore, was to pool associations between vitamin D deficiency (25(OH)D < 20 ng/mL) and STDR/NSTDR. A further aim was to examine associations between circulating 25(OH)D levels and STDR/NSTDR.

Methods
A systematic review of major databases was undertaken for studies published from inception to 22/04/2022, using a pre-published protocol. Studies reporting prevalence of STDR or NSTDR versus a control group with diabetes and no DR or DME and either (a) vitamin D deficiency prevalence, or (b) circulating 25(OH)D levels, were included. A random effects meta-analysis was undertaken.

Results
Following screening, 12 studies (n = 9057) were included in the meta-analysis. STDR was significantly associated with vitamin D deficiency (OR = 1.80 95%CI 1.40–2.30; p = <0.001), whereas NSTDR was not (OR = 1.07 95%CI 0.90–1.27; p = 0.48). Both conclusions were graded as low credibility of evidence. Furthermore, circulating 25(OH)D levels were significantly associated with both NSTDR (SMD = -0.27 95%CI -0.50; −0.04; p = 0.02) and STDR (SMD = −0.49 95%CI -0.90; −0.07; p = 0.02), although these were graded as low credibility of evidence.

Conclusion
Vitamin D deficiency is significantly associated with STDR (including DME), but not with NSTDR. Given the well-reported associations between vitamin D deficiency and other unfavourable outcomes, it is important that vitamin D deficiency is managed appropriately and in a timely manner to reduce the risk of blindness in people with diabetes.
Mechanical and tribo-metallurgical behavior of 17-4 precipitation hardening stainless steel affected by severe cold plastic deformation: a comprehensive review article
Authors: Bazri Shahab , Mapelli Carlo , Barella Silvia , Gruttadauria Andrea , Mombelli Davide , Liu Caiyi 
Published: May 2022

AbstractThis article comprehensively reviews the mechanical properties and tribo-metallurgical behavior of 17-4 precipitation hardening stainless steel (17-4PH SS) during and after cold plastic deformation. Referring to the scientific literature, stainless steels are one of the few types of ferrous alloys which could be appropriately set up through cold working processes in the forms of sheets or other shapes. Likewise, some other metal alloys such as mild low-carbon-based steels, copper and its alloys, aluminum alloys, and some others are the few types of metal alloys which have this capability. On the other hand, in engineering applications, there are several types of mechanical failures, which must be taken into account to investigate the mechanical behavior and tribo-metallurgical properties of any targeted materials. For example, corrosion resistance, wear resistance, and fatigue failure are investigated according to the microstructural studies, comprising of the grain size, grain boundaries, orientations, dislocations, and so on. Based on the published results, focusing on 17-4PH SS, one of the most main effective factors on mechanical and tribo-metallurgical performance is the grain size. Also, the favorable balance of two mechanical properties of strength and ductility has been reported as a dilemma in the materials science, and the problem delineates upon the limitations of numerous structural materials potentials. Following the failure analysis of the materials, in order to diminish the damages caused by fretting fatigue some methods such as ultrasonic processes are applied for the treatment of 17-4PH SS via changing the microstructure, residual stress, and other parameters. Also, through the other cold deformation technologies, the nanostructured surface layer with highly upgraded mechanical properties of several ultrasonic surface rolling process-treated 17-4PH SS has been obtained. To this end, such cold working processes on 17-4PH SS and their subsequent results are elaborated in this review paper.
Graphical abstract
Diagnosis of rotor demagnetization and eccentricity faults for IPMSM based on deep CNN and image recognition
Authors: Li Zhiyuan , Wu Qinmu , Yang Shengming , Chen Xiangping 
Published: May 2022

AbstractPermanent magnet synchronous motors (PMSMs) have many advantages attributed to the structure of the permanent magnet, which connects the influences of each type of fault. However, diagnostic methods are not capable of monitoring multitype faults with one index or method, due to closed-loop control or non-stationarity. There are a few diagnostic methods based on convolutional neural networks (CNNs) and vibration analysis; however, they are limited by the installed sensor locations and are affected by various factors of the driven system. This paper proposes a method to diagnose eccentricity and demagnetization in an interior PMSM (IPMSM) with image recognition based on a deep CNN and motor stator current analysis. To extract fault features from the IPMSM’s stator current with a deep CNN, a gray image transformation algorithm that uses the autocorrelation matrix is proposed to enhance the feature representations of stator currents, in which currents data are processed recursively and timely. The testing accuracy of 98.74% of both designed model pyramidal Resnet-9 and Resnet-15 indicates that the proposed method is capable of monitoring multitype faults and is immune to speeds and loads.
Comparison of Joint Modelling and Landmarking Approaches for Dynamic Prediction Using Bootstrap Simulation
Authors: Hossain Zakir , Khondoker Mizanur ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: May 2022

AbstractPrediction models for clinical outcomes can greatly help clinicians with early diagnosis, cost-effective management and primary prevention of many medical conditions. In conventional prediction models, predictors are typically measured at a fixed time point, either at baseline or at other time point of interest such as biomarker values measured at the most recent follow-up. Dynamic prediction has emerged as a more appealing prediction technique that takes account of longitudinal history of biomarkers for making predictions. We compared prediction performance of two well-known approaches for dynamic prediction, namely joint modelling and landmarking, using bootstrap simulation based on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) data with repeat Mini-Mental State Examination (MMSE) scores as the longitudinal biomarker and time-to-Alzheimer’s disease (AD) as the survival outcome. We assessed the performance of both approaches in terms of extended definitions of discrimination and calibration, namely dynamic area under the receiver operating characteristic curve (dynAUC) and expected prediction error (PE). We focused on real data-based bootstrap simulation in an attempt to be as impartial as possible to both methods as landmarking is a pragmatic approach which does not specify a statistical model for the longitudinal markers, and therefore any comparison based on model based data simulation may potentially be more advantageous to joint modelling approach. The dynAUC and PE were compared at landmarks $$ t_{s}=1.0, 1.5, 2.0\,\text{ and }\,2.5$$

t
s

=
1.0
,
1.5
,
2.0

and

2.5

years and within a 2-year window from the landmark time points. The optimism corrected estimates of dynAUC for joint modelling were slightly higher (1.26, 3.22, 2.76 and 0.12% higher at the four landmark time points) than that of landmarking approach. Apart from the final landmark point (at 2.5 years), dynamic prediction based on joint models has also performed slightly better in terms of calibration. The expected prediction errors (PE) for joint models were 0.70, 2.56 and 2.04% lower at the first three landmark time points, respectively, compared to the landmarking approach. In general, joint modelling approach has performed better than the landmarking approach in terms of both discrimination (dynAUC) and calibration (PE), although the margin of gain in performance by using joint models over landmarking was relatively small indicating that landmarking approach was close enough, despite not having a precise statistical model characterising the evolution of the longitudinal markers. Future comparative studies should consider extended versions of joint modelling and landmarking approaches which may overcome some of the limitations of the standard methods.
Identification of the LH surge by measuring intact and total immunoreactivity in urine for prediction of ovulation time
Authors: Demir And , Hero Matti , Alfthan Henrik , Passioni Amro , Tapanainen Juha S. , Stenman Ulf-Håkan 
Published: May 2022

Abstract

Objectives
In our earlier study, we separated three different molecular forms of urinary LH-ir (U-LH-ir) by gel filtration and identified them by immunoassay in urine from regularly menstruating women on periovulatory days. U-LH-ir is composed of intact luteinizing hormone (LH), its free beta-subunit (LHβ), and the core fragment of LHβ (LHβcf), the latter two establishing the non-intact portion of LH-ir. The aim was to determine whether timing of ovulation can be improved by detecting different molecular forms of U-LH-ir in women of reproductive age.

Methods
We determined intact and total U-LH-ir in 14 regularly menstruating women on consecutive periovulatory days during the menstrual cycle. Non-intact LH-ir was calculated as the arithmetic difference between total and intact LH-ir. In addition, LH-ir was determined in both serum and urine from four of the women throughout the menstrual cycle.

Results
During the LH surge, U-LH-ir consisted mainly of intact LH and presented with an abrupt increase. Intact U-LH-ir dropped rapidly within 1 day after the surge, reaching baseline levels at the end of the luteal phase. In contrast, LHβcf in urine increased further 1 day after the surge. After this, most of the U-LH-ir consisted of LHβcf and it remained strongly elevated (over fivefold compared to intact LH) for the first 3 days after the LH surge, moderately elevated (over threefold) thereafter until day + 5, and mildly elevated until day + 7.

Conclusions
Total and non-intact LH-ir are potential add-on characteristics which can be utilized in ovulation predictor kits to measure LH-ir in urine beyond the LH surge during a broader time frame, thereby paving the way for more precise prediction of the timing of ovulation than that obtained with currently available products.
Rethinking conflict management
Authors: Lebow Richard Ned 
Published: May 2022

AbstractI offer a critique of deterrence and suggest how it could be used more effectively when combined in sophisticated ways with reassurance and diplomacy. When used in appropriate combinations and with appropriate framing based on the specific circumstances at hand, these conflict management strategies can reduce the likelihood of war and help bring about accommodation. However, decisions about how and whether to deploy these strategies are highly context dependent with respect to both goals.
Fundamental functions of almost greedy bases of $$L_p$$ for $$1<p< \infty $$
Authors: Ansorena José L. 
Published: May 2022

AbstractWe prove that the fundamental function of any almost greedy basis of$$L_p$$Lp,$$1<p<\infty $$1<p<∞, grows as either$$(m^{1/p})_{m=1}^\infty $$(m1/p)m=1∞or$$(m^{1/2})_{m=1}^\infty $$(m1/2)m=1∞.
Fragility Fractures of the Acetabulum: Current Concepts for Improving Patients’ Outcomes
Authors: Toro Giuseppe , Braile Adriano , De Cicco Annalisa , Pezzella Raffaele , Ascione Francesco , Cecere Antonio Benedetto , Schiavone Panni Alfredo 
Published: May 2022

AbstractThe incidence of fragility fractures of the acetabulum (FFA) is constantly increasing. Generally, these fractures are related to a fall on the greater trochanter involving the anterior column. The management of FFA is extremely difficult considering both patients’ comorbidities and poor bone quality. Both non-operative and several operative treatment protocols are available, and the choice among them is still ambiguous. The proposed surgical techniques for FFA [namely open reduction and internal fixation (ORIF), percutaneous fixation and total hip arthroplasty (THA)] are associated with a high complication rate. The treatment with the higher early mortality is the ORIF + THA, while the one with the lowest is the non-operative. However, at longer follow-up, this difference dreadfully change is becoming the opposite. Frequently ORIF, percutaneous fixation, and non-operative treatment need a subsequent re-operation through a THA. This latter could be extremely difficult, because of poor bone quality, acetabular mal union/non-union, bone gaps and hardware retention. However, the outcomes of each of the proposed treatment are mostly poor and controverted; therefore, a comprehensive patient evaluation and an accurate fracture description are required to appropriately manage acetabular fracture in the elderly.
New-onset COVID-19–related diabetes: an early indicator of multi-organ injury and mortally of SARS-CoV-2 infection
Authors: Yang Jin-Kui , Zhao Miao-Miao , Jin Jian-Min , Liu Shi , Bai Peng , He Wei , Wu Fei , Liu Xiao-Fang , Chai Zhong-Lin , Han De-Min 
Published: May 2022

Abstract
Objective
The pandemic of 2019 coronavirus (SARS-CoV-2) disease (COVID-19) has imposed a severe public health burden worldwide. Most patients with COVID-19 were mild. Severe patients progressed rapidly to critical condition including acute respiratory distress syndrome (ARDS), multi-organ failure and even death. This study aims to find early multi-organ injury indicators and blood glucose for predicting mortality of COVID-19.

Methods
Fasting blood glucose (FBG) ≥7.0 mmol/L for two times during hospitalization and without a history of diabetes were defined as new-onset COVID-19-related diabetes (CRD). Indicators of injuries for multiple organs, including the lung, heart, kidney and liver, and glucose homeostasis were specifically analyzed for predicting death.

Results
A total of 120 patients with a severity equal to or greater than Moderate were hospitalized. After excluding patients with history of diabetes, chronic heart, kidney, and liver disease, 69 patients were included in the final analysis. Of the 69 patients, 23 were Moderate, 20 were Severe, and 26 were Critical (including 16 deceased patients). Univariable analysis indicated that CRD, lactate dehydrogenase (LDH), hydroxybutyrate dehydrogenase (HBDH), creatine kinase (CK) and creatinine (Cr) were associated with death. Multivariable analysis indicated that CRD was an independent predictor for death (HR = 3.75, 95% CI 1.26–11.15). Abnormal glucose homeostasis or CRD occurred earlier than other indicators for predicting poor outcomes. Indicators of multiple organ injury were in parallel with the expression patterns of ACE2 (the SARS-CoV-2 receptor) in different organs including pancreatic islet.

Conclusions
New-onset COVID-19-related diabetes is an early indicator of multi-organ injury and predictor for poor outcomes and death in COVID-19 patients. As it is easy to perform for clinical practices and self-monitoring, glucose testing will be helpful for predicting poor outcomes to facilitate appropriate intensive care.
Traveling Judges
Authors: King Alyssa S. , Bookman Pamela K. 
Published: May 2022

AbstractAround the world, domestic courts focused on commercial disputes hire foreign judges. The practice seems to resemble arbitration, but is also rooted in colonialism. These traveling judges are predominantly retired English judges hired by small, market-dominant jurisdictions, like Hong Kong or Dubai. The judges' identities reveal efforts to harness business preferences for English common law into domestic court systems. While judges aspire to spread the rule of law, local politics may dictate these courts' futures. This Article maps the practice of traveling judges and explores its implications.
On the Kottwitz conjecture for local shtuka spaces
Authors: Hansen David , Kaletha Tasho , Weinstein Jared 
Published: May 2022

AbstractKottwitz’s conjecture describes the contribution of a supercuspidal representation to the cohomology of a local Shimura variety in terms of the local Langlands correspondence. A natural extension of this conjecture concerns Scholze’s more general spaces of local shtukas. Using a new Lefschetz–Verdier trace formula for v-stacks, we prove the extended conjecture, disregarding the action of the Weil group, and modulo a virtual representation whose character vanishes on the locus of elliptic elements. As an application, we show that, for an irreducible smooth representation of an inner form of$\operatorname {\mathrm {GL}}_n$, theL-parameter constructed by Fargues–Scholze agrees with the usual semisimplified parameter arising from local Langlands.