bluuebunny/crossref_metadata_2025_split huggingface dataset:
Socioeconomic and Gender Effects of Climate Change and its Adaptation Strategies in Different Agro-ecologies of Sidama Region, Southern Ethiopia
Authors: Addis Endalew , Haile Hirut Bekele , Bekele Mulugeta 
Published: October 2022

Abstract
This study examined socio-economic and gender effects of climate change and its adaptation strategies in lowland, midland and highland agro-ecologies of Sidama Region in Ethiopia. A mixed research approach with secondary data analysis, key informant interview, focus group discussion, field observations and survey research is employed to collect data. A total of 700 households selected randomly and proportionately after stratifying households by wealth ranking into poor, medium and model farmers in each kebele. Subsequently, qualitative information is analyzed using thematic and content analysis whereas quantitative data is analyzed using descriptive statistics by STATA Software. Secondary data is also analyzed using thematic analysis and descriptive statistics. The results showed that there is climate change and it has effects on livelihood, food, water, and energy securities. Accordingly, climate change affects all livelihood capitals, and it causes both transient and chronic food insecurity in the study areas. Moreover, there is gender differentiated vulnerability since livelihood assets are still under the control of males. Furthermore, in intra-household analysis women differently affected by food, water and energy insecurities since they are expected to fulfil food, water and energy demands of the household. To address these effects, soil and water conservation, changing crop varieties, intercropping, changing planting date, water harvesting, irrigation, livestock diversification, livelihood diversification, and migration are practiced as adaptation strategies. Thus there should be appropriate and gender sensitive policies, local institutions, and public participation to minimize the socio-economic and gender effects of climate change and optimize the practice and efficiency of adaptation strategies.
A novel approach to model water saturation in shaly sandstone petroleum reservoirs
Authors: Mohamed Omar , Abdulaziz Abdulaziz 
Published: October 2022

Abstract
Water saturation is a very important parameter in both the technical and commercial evaluation of petroleum reservoirs. Estimating water saturation in shaly sandstone reservoirs is considered one of the most challenging tasks in formation evaluation and petrophysics. Complexities arise from shale properties and composition as well as the pluralism of independent approaches and methods used in calculating water saturation. The problem is that these different approaches most of the time somehow result in different values of water saturation leading to under-estimation or over-estimation of the volumes of original oil in place (OOIP) and original gas in place (OGIP). The main challenge is resolving and understanding the differences between the water saturation values obtained using different approaches, and to arrive at the most accurate estimation of water saturation as well as its distribution throughout the reservoir. There are numerous shaly sandstone estimation models which are used frequently. These models can be divided into two main groups where the shale term of the first group is based mainly on shale volume while the other group depends on electric double layer effect. However, both approaches have drawbacks and limitations and don’t always give accurate results. This paper presents a novel hybrid approach between Vsh and EDL based models to determine water saturation in shaly sandstone reservoirs using well logs only and at the time is based on physical facts and reflects real current flow paths. This new approach was applied to three well logging datasets and the results were compared to that of counterpart existing models widely used in the oil and gas industry. Core analysis water saturation values were used as a baseline to validate the accuracy of the new model compared to counterpart models and the results were discussed. The new model is a series conductivity model which is solely based on well logs eliminating the need for any time-consuming and costly experiments. The results were promising and the new approach’s water saturation values showed great potential and consistency with core-derived water saturation values.
Residents' Cognition and Knowledge Demand of Mental Disorders: A Population-Based Cross-Sectional Study in Shandong, China
Authors: Lyu Juncheng , Shi Hong , Zhang Yilin , Lu Pengyi 
Published: October 2022

Abstract
Background
There is little literature reported the public resident’s cognition and knowledge demand of mental disorders in China. This study aimed to investigate the residents' cognition and knowledge demand for mental disorders in Shandong China, so as to provide reference for promoting the social publicity and education of mental disorders.
Methods
A population-based cross-sectional study (N = 1302) on cognition and knowledge demand of mental disorders was carried out in Shandong, China. The adult residents (≥ 18 years old) were selected from Weifang, Linyi, Taian, Qingdao, Zibo and Rizhao City of Shandong Province by stratified random sampling from October 2021 to March 2022. The cognition status and knowledge demand of mental disorder questionnaire designed by us was used to investigate. or M (Q) were used to describe quantitative data, n (%) was used to describe the qualitative data and the Chi-square method was adopted to compare the differences of qualitative data.
Results
There were 51.69% males and 48.31% females. Most of residents were insufficient cognition of mental disorders. 26.88% of the sample knew the disease burden of mental disorders. 31.49% of the residents knew the World Mental Health Day. The correct rate of residents' answers to mental disorders was unsatisfactory. Residents were less familiar with the related policies to mental disorders. There were 60.75% of the residents needs the knowledge of mental health.
Conclusion
The residents’ cognition of mental disorders, the policies and regulations of mental disorders are relatively lacking in Shandong China. Knowledge demands of mental disorders are urgent in Shandong China. It is necessary to strengthen the propaganda and education to residents so as to improve their literacy on mental health.
Blind study site assessment of shear-wave velocity at Kumamoto City, Japan, using direct-fitting SPAC methods
Authors: asten michael , Askan Aysegul , Karimzadeh Shaghayegh 
Published: October 2022

Abstract
The study used data acquired by the ESG6 Blind Prediction Step BP1 Working Group, for purposes of facilitating a comparison of interpretation methods for obtaining shear-wave velocity profiles (Vs) from array observations of microtremor (passive seismic) noise. This work uses the direct-fitting MMSPAC method and the krSPAC method on passive seismic data supplied from four seven-station nested triangular arrays with apertures ranging from 1 m to 962 m, located within Kumamoto City, Japan. The data allows a useful frequency range of 38 Hz down to 0.3 Hz, giving depth sensitivities from 2 m to > 1000 m. Results are presented as a seven-layer model which has time-averaged shear wave velocities for top 30m and 300m of Vs30=189 m/s and Vs300=584 m/s, respectively. HVSR spectra show two significant peaks at 1.2 and 0.35 Hz which are indicative of major Vs contrasts at depths 26 m and 750 m. The MMSPAC method (and its krSPAC variant) also proved viable on one asymmetric array where four of the seven stations were corrupted by incoherent low-frequency noise. Indications of a lateral variation in Vs could be detected due to the non-concentric geometry of the four arrays, and also from variations in HVSR spectra at stations of the largest array. Further analysis in step 4 of the blind trials, making use of geological data and a Preferred model supplied to participants, showed apparent discrepancies between the Preferred and our BP1 model for the upper 40 m where a supplied PS log appears to be inconsistent with geological data and the blind BP1 model. At low frequencies 0.5–2.5 Hz dispersion data and the BP1 model suggest that use of the Rayleigh effective mode is superior to use of the fundamental mode in deducing the Vs model at depths below 100 m. The method of direct-fitting of model and observed SPAC spectra used in MMSPAC also enabled use of a bandwidth 0.5–38 Hz for interpretation, which is a wider bandwidth than that achieved by other participants for use of passive seismic data alone.
Impact of Augmented Reality Technology on Osteotomy Site Preparation for Apical Location: An In Vitro Study
Authors: Torres Paulina Rodríguez , Madroño Esther Cáceres , Zubizarreta-Macho Álvaro , Pérez María Bufalá , Catalán Agustín Galparsoro , Buró Susana de la Vega , Deglow Elena Riad , Montero Sofía Hernández 
Published: October 2022

Abstract
To evaluate and compare the accuracy of an augmented reality appliance versus the conventional free-hand method on preparation of an osteotomy site for apical location. Sixty (60) preparations of osteotomy sites were randomly divided among two study groups, A. Augmented reality appliance (AR) (n = 30); and B. Conventional free-hand method (FHM) (n = 30). A cone-beam computed tomography scan and intraoral scan were taken prior to the procedure and imported into specialized implant‑planning software for virtual planning of apical location osteotomy site preparations. The teeth of each experimental model were then automatically segmented in the 3D implant planning software to enable full visualization of the teeth with the augmented reality appliance. Then, a postoperative CBCT scan was performed after performing the preparations for apical location. Afterwards, the datasets were uploaded to a therapeutic planning software to analyze the deviations at coronal, apical and angular level. Results were statistically analyzed using the Mann-Whitney non-parametric-test. No statistically significant differences were found between the AR and FHM study group at the coronal entry-point deviations (p = 0.1335), apical end-point deviations (p = 0.2401), and angular deviations (p = 0.4849). The augmented reality technique was slightly more accurate than the conventional free-hand method when preparing the osteotomy site for apical location.
Anomaly detection and virtual reality visualisation in supercomputers
Authors: Pérez David Mulero , Benavent-Lledo Manuel , Azorin-Lopez Jorge , Marcos-Jorquera Diego , Garcia-Rodriguez Jose 
Published: October 2022

Abstract
Anomaly detection is the identification of events or observations that deviate from the expected behaviour of a given set of data. Its main application is the prediction of possible technical failures. In particular, anomaly detection on supercomputers is a difficult problem to solve due to the large scale of the systems and the large number of components. Most research works in this field employ machine learning methods and regression models in a supervised fashion, which implies the need for a large amount of labelled data to train such systems. This work proposes the use of autoencoder models, allowing the problem to be approached with semi-supervised learning techniques. Two different model training approaches are compared. The former is a model trained with data from all the nodes of a supercomputer. In the latter approach, observing significant differences between nodes, one model is trained for each node. The results are analysed by evaluating the positive and negative aspects of each approach. On the other hand, a replica of the Marconi 100 supercomputer is developed in a virtual reality environment that allows the data from each node to be visualised at the same time.
Topographic representation of current and future threats in the nociceptive amygdala
Authors: Bowen Anna , Huang Waterlily , Chen Jane , Pauli Jordan , Campos Carlos , Palmiter Richard 
Published: October 2022

Abstract
Adaptive behaviors arise from an integration of current sensory context and internal representations of past experiences. The central amygdala (CeA) is positioned as a key integrator of cognitive and affective signals, yet it remains unknown whether individual populations simultaneously carry current- and future-state representations. We find that a primary nociceptive population within the CeA of mice, defined by CGRP-receptor (Calcrl) expression, receives topographic sensory information, with spatially defined representations of internal and external stimuli. While Calcrl+ neurons in both the rostral and caudal CeA respond to noxious stimuli, rostral neurons promote locomotor responses to externally sourced threats, while caudal CeA Calcrl+ neurons are activated by internal threats and promote passive coping behaviors and associative valence coding. During associative fear learning, rostral CeA Calcrl+ neurons stably encode noxious stimulus occurrence, while caudal CeA Calcrl+ neurons acquire predictive responses. This arrangement supports valence-aligned representations of current and future threats for the generation of adaptive behaviors.
ARIMA Model Analysis of the Regularities of Earthquake Origin Times in the Longmen Mountain Fault Zone
Authors: Yuan Xue , Dan Hu , Qiuyin Ye , Wenjun Zeng , Min Rao , Jing Yang 
Published: October 2022

Abstract
Based on earthquake catalog data from the Longmen Mountain fault zone over the past 10 years, we constructed series of earthquake origin time intervals by grouping according to the magnitude (M) and use the ARIMA model for analysis with a 9:1 ratio of fitting-training and prediction-verification data. We found that the series of both M ≥ 2.5 and M ≥ 3.0 showed the variation of nesting with short, medium and long periods. By further predictive verification and comparative analysis, the optimal prediction models for each series were obtained: ARIMA(10,2,1)×(0,1,1)20 direct prediction model for series of M ≥ 2.5, ARIMA(8,2,1)×(0,1,1)40 rolling prediction model for M ≥ 3.0, and ARIMA(1,2,3)×(0,1,1)3 rolling prediction model for M ≥ 4.5. The predicted results suggested that the seismicity of the Longmen Mountain fault zone has a recent gradually weakening trend. This analysis process provides an effective reference and method for studying the time regularities of tectonic earthquake occurrence.
Efficient GPU Cloud architectures for outsourcing high-performance processing to the Cloud
Authors: Maciá-Lillo Antonio , Ribes Víctor Sánchez , Mora Higinio , Jimeno-Morenilla Antonio 
Published: October 2022

Abstract

The world is becoming increasingly dependant in computing intensive appliances. The appearance of new paradigms such as Internet of Things (IoT), and advances in technologies such as Computer Vision (CV) and Artificial Intelligence (AI) is creating a demand for high performance applications. In this regard, Graphics Processing Units (GPUs) have the ability to provide better performance by allowing a high degree of data parallelism. This devices are also beneficial in specialized fields of manufacturing industry such as CAD/CAM. For all this applications, there is a recent tendency to offload this computations to the Cloud, using a computing offloading Cloud architecture. However, the use of GPUs in the Cloud presents some inefficiencies, where GPU virtualization is still not fully resolved, as our research on what main Cloud providers currently offer in terms of GPU Cloud instances shows. To address this problems, this paper first makes a review of current GPU technologies and programming techniques that increase concurrency, to then propose a Cloud computing outsourcing architecture to make more efficient use of this devices in the Cloud.
Unraveling the Geothermal Potential of Corbetti Caldera using Integrated Geophysical Methods, Central Main Ethiopian Rift
Authors: Kebede Bisrat , Alemu Abera , Kebede Hailemichael , Feyissa Dejene , Melaku Enatfenta 
Published: October 2022

Abstract
In this paper integrated geophysical techniques, involving electrical resistivity, gravity and magnetic surveys have been carried out over the Corbetti Caldera in the central Main Ethiopian Rift (CMER) to verify the geothermal potential of the caldera. Corbetti geothermal prospect is located at about 250 km south of Addis Ababa and 20km from Awassa city and the area is bounded by Lake Awassa to the south and Lake Shalla to the north with geographic location between latitude 7.170N-7.250N and longitudes 38.300E-38.470E. The Corbetti Caldera is characterized by Quaternary volcano-tectonic activity which is mainly silicic volcanism and a resurgent caldera structural system. Quaternary volcanism is associated with a wide spread of steaming ground and fumarolic activity which could confirm the existence of a heat source at depth. Fifty six (56) VES points, 200 gravity and about 200 magnetic data have been used and analyzed. The results are presented as magnetic, gravity and electrical counter maps for qualitative interpretation. Constrained gravity and magnetic 2D model and results obtained from the geoelectric section were made for quantitative interpretation. The complete Bouguer gravity anomaly in conjugation with the total magnetic field anomaly map of the area indicates the existence of intrusion beneath the caldera, i.e. the highest Bouguer gravity anomaly resulting from the higher density of the intrusion. Correspondingly the shallower heat source caused by this intrusion is characterized by the lowest magnetic anomaly response. Results from vertical electrical soundings along profile-2 indicate the presence of a middle thicker conductive zone which is associated with the increase in temperature and alteration of rocks. Apparent resistivity map for AB/2 = 1810m and AB/2 = 2700m shows low resistivity anomaly follows the eastern and northern caldera rim, stretching north of the caldera towards Lake Shalla.
Surgical efficacy and quality of wide resection of the pelvic peritoneum in patients with epithelial ovarian cancer
Authors: Nishimura Akiho , Motohara Takeshi , Morinaga Jun , Iwagoi Yutaka , Yamamoto Mayuko , Yamaguchi Munekage , Miyahara Yo , Tashiro Hironori , Katabuchi Hidetaka 
Published: October 2022

Abstract

Purpose
The aim of study was to evaluate the impact of adding an extensive pelvic peritoneal stripping procedure, termed “wide resection of the pelvic peritoneum,” (WRPP) to standard surgery for epithelial ovarian cancer on survival effectiveness and to investigate the role of ovarian cancer stem cells (CSCs) in the pelvic peritoneum.
Methods
A total of 166 patients with ovarian cancer undergoing surgical treatment at Kumamoto University Hospital between 2002 and 2018 were retrospectively analyzed. Eligible patients were divided into three groups based on the surgical approach: standard surgery (SS) group (n = 36), WRPP group (standard surgery plus WRPP, n = 100), and rectosigmoidectomy (RS) group (standard surgery plus RS, n = 30). Survival outcomes were compared between the three groups. CD44 variant 6 (CD44v6) and EpCAM expression, as markers of ovarian CSCs, in peritoneal disseminated tumors were evaluated using immunofluorescence staining.
Results
With respect to patients with stage III–IV ovarian cancer, there were significant differences in overall and progression-free survival between the WRPP and SS groups, as revealed by univariate (hazard ratio [HR], 0.35; 95% confidence interval [CI], 0.17–0.69; P = 0.003 and HR, 0.54; 95% CI, 0.31–0.95; P = 0.032, respectively) and multivariate Cox proportional hazards model (HR, 0.35; 95% CI, 0.17–0.70; P = 0.003 and HR, 0.54; 95% CI, 0.31–0.95; P = 0.032, respectively). Further, no significant differences were observed in survival outcomes between the RS group and the SS or WRPP group. Regarding the safety of WRPP, no significant differences in major intraoperative and postoperative complications were found between the three groups. Immunofluorescence analysis revealed a high percentage of CD44v6/EpCAM double-positive ovarian cancer cells in peritoneal disseminated tumors.
Conclusion
The present study demonstrates that WRPP significantly contributes to improved survival in patients with stage III–IV advanced ovarian cancer. WRPP could result in eradicating ovarian CSCs and disrupting the CSC niche microenvironment in the pelvic peritoneum.
Family Functioning and Intraindividual Reaction Time Variability Interactively Predict Children’s Externalizing Problems
Authors: Peng Yuan , Wang Xiaoxiao , Hao Yanli 
Published: October 2022

Abstract

Intraindividual reaction time variability (IIV), which serves as an index of attentional control, was related to externalizing problems. However, it remains unknown whether children’s IIV interacts with family functioning, including family adaptability and cohesion, to predict their externalizing problems. The present study examined this concern. Participants included 168 (M = 7.35 years, SD = .48; 48% boys) and 155 (M = 8.32 years, SD = .45; 49% boys) children at the first (T1) and second (after one year, T2) measurements, respectively. At T1, a flanker task was used to assess children’s IIV. Mothers reported the Chinese version of the Family Adaptability and Cohesion Scales and the Chinese version of the Child Behavior Checklist. At T2, mothers reported children’s externalizing problems again. Results indicated that family functioning negatively and IIV positively correlated with children’s externalizing problems. Furthermore, family functioning interacted with children’s IIV to predict their externalizing problems concurrently and longitudinally. Specifically, low family functioning combined with greater IIV predicted prospective externalizing problems. Findings suggested that better attentional control (indexed by low IIV) may buffer the negative effect of poor family functioning.
Optimal Coordinated Energy Management Strategy for DC Nanogrid with Photo voltaic and Hybrid Energy Storage System
Authors: Gugulothu Ramesh , Nagu Bhookya , Pullaguram Deepak 
Published: October 2022

Abstract
Energy storage devices and renewable resources especially rooftop photovoltaic (PV) are vital in operation of nanogrids. In this study, energy management strategy (EMS) for battery energy storage system(BESS), PV, super-capacitor (SC) is presented. The proposed control strategy is designed to optimize BESS flow rate, discharge and charge cycles energy system using Meta-heuristic Jaya algorithm by properly coordinating SC and PV. SC was employed in HESS to fulfill the transient energy mismatches and reduce the transitory high charge/discharge impact on BESS using EMS. The proposed controller also has the benefit of keeping the battery’s SoC within limitations for a long period. In order to extend the life of BESS, the EMS is aimed at minimizing deep charging and discharging. PV generation is reduced, particularly under light load (no-load) situations and when battery SoC ≥ SoCmax. Similarly, SC charging and select able load shedding are employed when SoC ≤ SoCmin to avoid deep discharge. This controller method is validated in both simulation environment and hardware-prototype under different perturbation and operating conditions.