bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new surgical technique for reduction of chronic recurrent luxation of the temporomandibular joint
Authors: Hunger Stefan , Krennmair Stefan , Postl Lukas , Schwaiger Michael , Stehrer Raphael , Malek Michael , Krennmair Gerald , Feigl Georg C 
Published: August 2022

Abstract
Introduction: The variety of approaches to the mandibular joint and the multiplicity of different surgical techniques proposed for reducing a chronic recurrent luxation of the temporomandibular joint (TMJ) over the past decades show the complexity of the surgical approach and reveal that an adequate technique is still lacking. Therefore, this paper describes a different surgical approach for a new augmentation technique of the articular eminence by inserting titanium implants into the zygomatic arch root.Materials and Method: Eight cadavers of the Department of Anatomy of the Medical University Graz embalmed with Thiel’s method were chosen due to their hypermobility of the TMJ and were investigated bilaterally. Each cadaver underwent a preoperative computed tomography (CT) for excluding any morphological derangements (tumor masses; fractures) of the TMJ and for determining implant length and implant diameter. The zygomatic arch root was visualized via preauricular access and the planned implants were inserted according to the drilling protocol of Dentsply Sirona. A postoperative Ct-scan was taken to recognize injuries of the mandibular joint. Results: In all cases a significant (p<0.001) reduction of translational movement with an adequate mouth opening (postoperative/mean value 43.1mm/SD 3.5mm) was achieved. The postoperative CT-scan showed that none of the zygomatic arch roots fractured after treatment and none of the mandibular condyles were injured by an implant.Conclusion: The proposed surgical technique shows promising results regarding surgical approach and clinical outcome.
“We have to be manly and just hold it in”: A Qualitative Assessment of Mental Health Literacy and Help-Seeking Behaviors among Male College Students
Authors: DeBate Rita , Gatto Amy , Rafal Gregor , Bleck Jennifer 
Published: August 2022

Abstract
Although the number of students receiving care from college counseling centers has increased, males are more likely to engage in unhealthy coping mechanisms in place of seeking care. This qualitative study explored mental health literacy and help-seeking behaviors among male undergraduate college students. Semi-structured interviews (n = 27) based on three vignettes (anxiety, depression, stress) were employed to assess mental health literacy. Analysis revealed three general themes and associated sub-themes: a) knowledge of signs and symptoms (physiological, behavioral, and emotional); b) recommended help-seeking behaviors (do nothing, self-care, seek help); and c) barriers to help-seeking (social stigma, self-stigma, masculinity). Findings present a triadic interplay between the person, help-seeking behavior, and environment. Future research should explore this dynamic relationship to inform interventions aimed at improving college male mental health help-seeking behavior.
Modeling actual irrigation water use regimes at district scale: application to the FAO-56 dual crop coefficient method
Authors: Olivera-Guerra Luis , Laluet Pierre , Altés Víctor , Ollivier Chloé , Pageot Yann , Paolini Giovanni , Chavanon Eric , Rivalland Vincent , Boulet Gilles , Villar Josep-Maria , Merlin Olivier 
Published: August 2022

Abstract

The modeling of irrigation in land surface models are generally based on two soil moisture parameters SMthreshold and SMtarget at which irrigation automatically starts and stops respectively. Typically, both parameters are usually set to optimal values allowing to fill the soil water reservoir with just the estimated right amount and to avoid crop water excess at all times. The point is that agricultural practices greatly vary according to many factors (climatological, crop, soil, technical, human, etc.). To fill the gap, we propose a new calibration method of SMthreshold and SMtarget to represent the irrigation water use in any (optimal, deficit or even over) irrigation regime. The approach is tested using the dual-crop coefficient FAO-56 model implemented at the field scale over an 8,100 ha irrigation district in northeastern Spain where the irrigation water use is precisely monitored at the district scale. Both irrigation parameters are first retrieved at monthly scale from the irrigation observations of year 2019. The irrigation simulated by the FAO-56 model is then evaluated against observations at district and weekly scale over 5 years (2017-2021) separately. The performance of the newly calibrated irrigation module is also assessed by comparing it against three other modules with varying configurations including default estimates for SMthreshold and SMtarget. The proposed irrigation module obtains systematically the best performance for each of the 5 years with an overall correlation coefficient of 0.95±0.02 and root-mean square error of 0.27±0.07 hm3/week (0.64±0.17 mm/day). Unlike the three irrigation modules used as benchmark, the new irrigation module is able to reproduce the farmers’ practices throughout the year, and especially, to simulate the actual water use in the deficit and excess irrigation regimes occurring in the study area in spring and summer respectively.
Retrospective review of antimicrobial use for gastroschisis patients in Kigali, Rwanda: can improved stewardship reduce late inpatient deaths?
Authors: Diehl Thomas M. , Davis James R. , Nsengiyumva Alice , Igiraneza Deborah , Hong Philip , Umutoni Rosine , Neal Dan , Ndibanje Alain Jules , Bunogerane Gisèle Juru , Petroze Robin T. , Ntaganda Edmond 
Published: August 2022

Abstract
PurposeGastroschisis mortality is 75-100% in low-resource settings. In Rwanda, late deaths are often due to sepsis. We aimed to understand the effect of antimicrobial use on survival.MethodsWe conducted a retrospective review of gastroschisis patients at a tertiary hospital in Kigali, Rwanda between January 2016—June 2019. Demographics, antimicrobial use, culture data, and outcome were abstracted. Descriptive and univariate analyses were conducted to assess factors associated with improved survival.ResultsAmong 92 gastroschisis patients, mortality was 77%(n=71); 23%(n=21) died within 48 hours. 98%(n=90) of patients received antibiotics on arrival. Positive blood cultures were obtained in 41%(n=38). Patients spent 86%(SD=20%) of hospital stay on antibiotics and 38%(n=35) received second-line agents. There was no difference in age at arrival, birth weight, gestational age, silo complications, or antimicrobial selection between survivors and non-survivors. Late death patients spent more total hospital days and post-abdominal closure days on antibiotics (p<0.001) compared to survivors. There was no difference in the proportion of hospital stay on second-line antibiotics (p=0.1).ConclusionFrequent late deaths due to sepsis, prolonged antibiotic courses, and regular use of second-line antibiotic agents were identified in this retrospective cohort of gastroschisis patients. Future studies are needed to evaluate antimicrobial resistance in Rwanda.
Karst hydrogeological characteristics of Jindong large coal basin, northern China
Authors: Li Xiangquan , Hou Xinwei , Wang Zhenxing , Zhang Chunchao , Ma Jianfei , Gao Ming , Fu Changchang , Bai Zhanxue , Gui Chunlei , Zuo Xuefeng 
Published: August 2022

Abstract
Jindong coal basin is one of the 14 large coal basins planned and constructed by the state, and groundwater resources play an important role in supporting the sustainable development of the coal basin. To improve the understanding of deep karst hydrogeological characteristics of the coal basin, the combination of techniques (i.e., 1:50,000 and 1:100,000 surveys, geophysical prospecting, drilling, dynamic monitoring, hydrochemistry and isotopes etc.) were used to characterize the hydrogeological structures of deep-buried aquifers and analyze the evolution characteristics of groundwater systems under the conditions of long-term and large-scale coal mining. Deep Cambrian Zhangxia formation oolitic limestone water-rich aquifer was newly discovered in this survey, which characterized by the development of karstic fissures and strong water-richness in the effective structural zone. The dissolubility of the Cambrian Zhangxia formation oolitic limestone is weaker than that of the Ordovician Majiagou formation and Carboniferous Taiyuan formation limestone, but stronger than that of the Ordovician and Cambrian dolomite. Controlled by Jinhuo fault zone, there are many large karst groundwater-bearing basins distributed on both sides, such as Jincheng basin, Yangcheng basin, Changzhi basin, etc, and water yield in the center of the basins can reach more than 10,000 m3/d. Main types of karst groundwater storage structures in study area are syncline basin type, fault fracture zone type and permeable-impermeable contact zone type. Affected by coal mining, the dynamic conditions of karst groundwater have changed significantly, mainly manifested in the movement of the boundary of the karst groundwater system, the decline of the groundwater level, the attenuation of karst springs flow, and the complex conversion of multi-source water. The variation characteristics of the spring flow can be subdivided into three stages, namely relatively stable stage, rapid decline stage and slow decline stage. The main controlling factors of these three stages are atmospheric precipitation, coal mining and karst water exploitation, and coal mining, respectively. The regional groundwater circulation pattern under coal mining can be divided into shallow groundwater flow system, deep groundwater flow system and local groundwater flow system. The local groundwater flow system was mainly affected by coal mining, which was manifested as the concentrated discharge of groundwater to goaf. The results of this study will provide scientific basis for groundwater exploration and exploitation and sustainable development of coal basins.
Easily-Extendable Line Decoder with Low Transistor Count and High Power-Delay Performance
Authors: Xin Xin , Li Yinbo , Jin Wei , Tong Xingyuan 
Published: August 2022

Abstract
An easily-extendable 12-transistor 2-4 line decoder core is presented for the random-access memory interface such as translation lookaside buffer and the first level data cache in this brief. The core idea is to design the line decoder based on the truth table straightforwardly without assistant of the basic gate circuits. The 3-8 line decoder and 4-16 line decoder can be constructed with three and seven of the proposed 2-4 decoder core, respectively, resulting in a low transistor count and high power-delay performance. Simulation results shows that the proposed decoder topologies have the minimum area overhand compared with the state of the art in 65nm CMOS process. Meanwhile, the delay of the 2-4 line decoder is reduced to 120.7 ps, 57.5 ps, and 37 ps at 0.8 V, 1 V and 1.2 V, respectively, resulting in a better PNPD performance. Besides, the PNPD of the proposed 2-4 and 4-16 topology is optimized by 1.7%, and 10.94% compared with that of the HP topologies, while the PNPD of the 3-8 line decoder is optimized by 32.59% compared with that of the predecoder structure at a 1V supply voltage.
WITHDRAWN: Evaluation of Terra Rossa Clay Soils Using Major and Trace Element Geochemistry, GIS and Multivariate Statistical Analysis methods: a case study in Kas, Sutlegen Village, Antalya, Turkey
Authors: Atakoglu Ozge Ozer , Yalcin Mustafa Gurhan 
Published: August 2022

Abstract

Terra rossa is a soil formed by weathering by the effect of parent rock and various fluids in subtropical and tropical climatic regions. Major and trace element geochemistry of terra rossa is important for understanding its environmental conditions and interpreting its genesis. Methods: A total of 51 Terra rossa samples collected from the Sutlegen village in the Kas district of Antalya were subjected to geochemical analysis. The mean percentages of the major element contents of the terra rossa were found as follows: 45.2% Al2O3, 30.8% SiO2, 17.42% Fe2O3, 3.5% TiO2, 0.61% CaO, 0.54% MgO, 0.39% K2O, 0.26% P2O5, and 0.09% SO3. The Al2O3–SiO2–Fe2O3 triangular diagram revealed that the samples underwent moderate laterization. The paleoclimatic indicators of the terra rossa soil samples were obtained according to the results of the chemical analysis, and it was interpreted that these soil samples were of autochthonous origin and formed in environments with carbonate and non-carbonate rocks, affected by ultrabasic fluids depending on the magmatic and meta-magmatic rocks.
Influence Of Tire-Shreds' Aspect Ratio On Performance Of Mechanically Stabilized Retaining Walls
Authors: Kazemzadeh Michael , Moghadam Matin Jalali , Zad Amirali 
Published: August 2022

Abstract

Reusing scrap tires to save storage space or lower traditional disposal risks is among today's environmental challenges. Current, recycled tires are considered low-cost, lightweight materials to improve soils and retaining walls, backfills, and roadbeds. The present study investigated the effect of tire shred’s aspect ratio and weight percentage on the bearing capacity and displacement of the stabilized mechanical retaining wall with multi-plate anchors under static loading. To this end, sandy soils containing tire shreds with widths of 1 and 2 cm, aspect ratios of 1, 2, 3, 4, and 5, and weight percentages of 5, 10, 15, and 20% were examined. Also, direct shear tests were conducted for determining the shear strength parameters of the mixtures. The results demonstrated that adding more tire shreds increased bearing capacity. Also, it was found that by increasing the weight percentage of tire shreds in the mixture at a constant aspect ratio, the bearing capacity of the mixture increased. At a constant aspect ratio, the horizontal wall displacement incremented by increasing the weight percentage of the tire shreds. Furthermore, the wall's bearing capacity was enhanced at a constant weight percentage by increasing the aspect ratio of tire shreds. The results of Piv analysis show that by increasing tire shreds aspect ratio, the particle strains on the slip surface will be increased.
Detection of Breast Cancer Images Based on Transfer and Deep Learning Models
Authors: Zaman Khalid , Iqbal Arshad , Hussain Altaf , Hussain Tariq 
Published: August 2022

Abstract
Using a technology known as deep learning, which involves classifying photos based on the data they contain, it is possible to detect images, such as tumors and other signs. Because of the scarcity of pathologists and the growing number of patients with breast cancer, the manual numeration of biopsy echantillons must be mechanized (CS). To rectify the histopathological images of malignant tissue, preliminary study is required, which can be done utilizing BreaKHis' free database of data. An approach based on isolated image fragments is proposed, with the final categorization determined by an interconnected network of neurons (CNN) and a final combination of these pieces. Because of its unique architecture, capacity to recognize speech, identify objects, and analyze signals, as well as the popularity of neural language processing, the CNN is attracting increasing interest from industry and researchers. The employment of transfer learning methods is a problem with tiny collections of medical data. To improve the classification of defamatory and obscene photos, this article recommends integrating the impacts of many resolutions. In order to better depict the entering image's texture, many essential phases in CNN development are also used. Maintain a safe distance from the model's customization. Traditional CNN development may become more complex and expensive as a result. The simulation results achieved by running CNN in MATLAB outperform other artificial intelligence (AI) models recently published that used hand-crafted texture descriptors. With this in mind, we looked at all of CNN's possible combinations and discovered a technique to boost the execution rate by a little amount.
A culturally appropriate redesign of the roles of protected areas and community conservation: understanding the features of the Wangchuck Centennial National Park (WCNP), Bhutan
Authors: Narayan Trupthi , Sherub Sherub , Root-Bernstein Meredith 
Published: August 2022

Abstract
Conservation projects in developing countries that depend on international donors or international capacity building partnerships often have to bridge a gap between donors’ or experts’ ideas of best practice and locals’ ideas of best practice. We examine how this gap may be successfully bridged by examining the case of the Wangchuck Centennial National Park (WCNP) in Bhutan. This protected area presented an unusual situation in 2013: it was largely viewed positively by local communities living in the park, even though, five years after it was gazetted, it had no clear boundaries, and its management was identical to management outside the park. It was not a paper park, as it was attracting considerable outside investment. Why did the WCNP have this form, and why was it viewed favorably by locals? Our interviews and survey reveal that this may be due to practical and favourable integrated conservation and development projects implemented by the park management, more people-friendly rules adopted by the Bhutanese government, and a cultural ethos of sustainable development and environmentalist Buddhist sentiments. Applying the tacit working models of conservation framework, we argue that although the protected area as a form of conservation normally is designed to fit the ‘uniformity model’ of a bounded area with specific rules and management, the WCNP has been culturally re-designed to fit the more culturally suitable ‘normative model’ that is territorially extensive and values-based. We suggest that this adaptation of global conservation concepts to local cultural perspectives may be a factor in Bhutanese conservation success.
Correlations between Cytokine Levels, Liver Function markers, and Neuropilin-1 Expression in Patients with COVID-19
Authors: Kazafy Salma A. El , Fouad Yasser M. , Said Azza F. , Assal Hebatallah H. , Ali Tarek M. , Ahmed Amr E. , Elesawy Basem H. , Ahmed Osama M. 
Published: August 2022

Abstract

AimThe study evaluated the correlations between cytokine levels, liver function markers, and neuropilin-1 (NRP-1) expression in patients with COVID-19 at Egypt. The study also aimed to evaluate the accuracysensitivity, specificity, and area under the curve (AUC) of the tested laboratory parameters in identifying COVID-19 infection and its severity. Patients and MethodsFifty healthy subjects and 100 confirmed patients with COVID-19 were included in this study. COVID-19 patients were separated into two groups into two groups based on the severity of their symptoms. Serum ALT, AST, albumin, C-reactive protein (CRP), interleukin (IL)-1β, IL-4, IL-6, IL-18, IL-35, prostaglandin E2 (PGE2), and thromboxane A2 (TXA2) were estimated. We measured the gene expression for nuclear factor-kappa B p50 (NF-κB p50) and nuclear factor-kappa B p65 (NF-κB p65) and NRP-1 in the blood samples using quantitative real-time polymerase chain reaction (qRT-PCR). AUC and sensitivity and specificity for cytokine levels and NF-κB p50 and NF-κB p65 and NRP-1 in identifying COVID-19 infection were also determined in both moderate and severe patient groups using receiver-operating characteristic (ROC) curve analysis.ResultsAll patients with COVID-19 showed higher serum activities of liver enzymes, levels of CRP, IL-1β, IL-4, IL-6, IL-18, IL-35 PGE2, TXA2 and mRNA expression of NF-κB p50, NF-κB p65, and NRP-1 than healthy subjects. The severe group exhibited a significant increase in serum ALT, AST and IL-6 and a significant decrease in albumin, IL-1β, TXA2, and NF-κB p65 levels compared to the moderate group. In all patients (moderate and severe), all cytokines were positively correlated with NF-κB p50, NF-κB p65 and NRP-1 expression levels. Serum ALT and AST were positively correlated with CRP, cytokines (IL-4, IL-6, IL-18, IL-35 and TXA2), and NF-κB p50 and NF-κB p65 expression levels in both moderate and severe groups. They were also positively correlated with serum IL-1β level in severe COVID-19 patient group and with NRP-1 expression in moderate group. ROC curve analysis revealed that serum TXA2 level could be useful biomarker for early COVID-19 diagnosis AUC = 0.843 with a sensitivity of 88.0% and a specificity of 75.0% while serum IL-6 level may be a good biomarker to severity COVID-19 since AUC = 0.844 with a sensitivity of 100.00% and a specificity of 68.0%.ConclusionsThis study concluded that liver injury in patients with COVID-19 may be strongly attributed to the cytokines storm, especially IL-6, which was positively correlated to NF-κB p50, NF-κB p65 and NRP-1 mRNA expression levels. Moreover, serum TXA2 level could be useful indicator for early COVID-19 diagnosis and serum IL-6 level could be a reliable biomarker for COVID-19 severity.
Machine learning-based solution for thermo-mechanical analysis of MMIC packaging
Authors: Kang Sumin , Lee Jae Hak , Kim Seung Man , Lim Jaeseung , Park Ah-Young , Han Seongheum , Song Jun-Yeob , Kim Seong-Il 
Published: August 2022

Abstract
Thermo-mechanical analysis of monolithic microwave integrated circuit (MMIC) packaging is essential to guarantee the reliability of radio frequency/microwave applications. However, a method for fast and accurate analysis of MMIC packaging structures has not been developed. Here, we demonstrate a machine learning (ML)-based solution for thermo-mechanical analysis of MMIC packaging. This ML-based solution analyzes temperature and thermal stresses considering 13 design parameters categorized into material properties, geometric characteristics, and thermal boundary conditions. Finite element simulation with the Monte Carlo method is utilized to prepare 40,000 data samples for supervised learning and validation of the ML solution, and a laser-assisted thermal experiment verifies the accuracy of the simulation. After data preparation, regression tree ensemble and artificial neural network (ANN) learning models are investigated. The results indicate that the ANN models accurately predict the temperature and thermal stresses, showing a 1.69 % minimum error. Finally, the developed ML solution is deployed as a web application format for facile approaches. We believe that this study will provide a guideline for developing ML-based solutions in chip packaging design technology.
A versatile modular plant for converting biogas into advanced biofuels
Authors: Negri Francesco , Fedeli Matteo , Barbieri Massimo , Manenti Flavio 
Published: August 2022

Abstract
The patented technology is a novel, portable, non-invasive, and flexible technical solution for converting biogas into valuable chemical compounds, such as bio-methanol and bio-dimethyl ether (bio-DME). It consists of compact modules, connected to each other through a flange-valve-flange system, to be installed downstream of an existing traditional biogas plant.The two main sections of the module are those of reforming and synthesis: in the first, the biogas is converted into bio-syngas (H2/CO/CO2), while in the second the bio-syngas is transformed into advanced biofuels such as bio-methanol and bio-DME. Parts of the synthesis module can always be changed with small investments to switch the final products, according to local market needs and price volatilities. Downstream in the synthesis section, it is possible to add a module for separating and purifying the chemical products.The technology has been validated at the 0.15 MWe industrial scale.