bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reflexiones sobre lo particular y lo universal: Unidad y diversidad en la vida social y en la teoría social
Authors: Streeck Wolfgang 
Published: July 2023

How do the general and the specific, or unity and diversity, relate in social life and political practice? The essay investigates four areas of social theory that may be fruitfully explored in terms of a constitutive tension between universal and local forces: endogenous institutional change, the role of intermediary organizations in the governance of industrial relations, nation–building, and the origin of capitalist diversity.
¿Cómo se relacionan lo general y lo particular, o la unidad y la diversidad, en la vida social y la práctica política? En este ensayo Wolfgang Streeck investiga cuatro áreas de la teoría social que pueden ser fructíferamente exploradas en términos de una tensión constitutiva entre fuerzas universales y locales: el cambio institucional endógeno, el papel de las organizaciones intermediarias en el gobierno de las relaciones industriales, la construcción de naciones y, por último, el origen de las variedades o diversidad del capitalismo.
Validation of Mentee-Teachers’ Assessment Tool within the Framework of Generalisability Theory at the Faculty of Education, University for Development Studies
Authors: Iddrisu Simon Alhassan 
Published: July 2023

Practitioners in assessment and other researchers have over the years expressed dissatisfaction with the lack of consistency in scores obtained from use of multiple measurement instruments. Such scores derived from these largely inconsistent and unreliable procedures are relied upon by decision makers in taking very important decisions in education, health and other related fields. The purpose of this study therefore, was to apply the G theory procedures to validate the mentee assessment tool being used at the Faculty of Education, University for Development Studies. The G study involved estimating the generalisability (reliability-like) coefficients of mentees’ assessment scores, and determining the level of acceptability (validity) of these coefficients. A nested design was used because different sets of raters assessed different student-mentees on different occasions in the field. The relationship among these variables (facets); students, raters and occasions, appropriately mirrored a nested relationship. Data obtained by raters on 300 students, in the 2018/2019 off-campus teaching practice, were entered into EDUG software for relevant analysis of the results. The study found that both rater and student facets accounted for the largest measurement errors in mentees’ observed scores, reporting an estimated G coefficient of 0.62(62%), and representing a positive moderate relationship. Based on these findings, the study concluded that, the quality of mentee observed scores could be improved for either relative or absolute decisions by varying the number of levels of both raters and occasions. To achieve acceptable G coefficient values of 0.83 and above, it is recommended that, decision makers employ a model that uses four raters per occasion for three occasions of assessment.
A Comparative Evaluation of Effectiveness of Three Techniques of Retrieval of Separated Endodontic Instruments from Curved Root Canals (An In Vitro Study)
Authors: Mohamed Mariam Ahmed 
Published: July 2023

Abstract
Introduction:Root canal preparation is an important step of root canal treatment, it includes proper cleaning and shaping of the canals. Root canal mechanical preparation can be carried out using manual or rotary instruments.Nickel-titanium instruments provide more centered preparation inside canals so, less procedural errors. Despite these advantages, separation of rotary NiTi instruments during use has become a real concern among dental practitioners especially endodontists. There have been many methods for retrieval of separated instruments such as ulrasonics, loop pen system and xp-shaper file. To our knowledge there are no studies on the effect of using different retrieval methods on root fracture resistance, retrieval time and success.
Methodology: 27 extracted human mandibular molars with 15-30 degree angle of curvature (moderate curve) with rotary Ni-Ti broken file size 25 taper 6 in middle third of canal and dividing teeth into three groups.
Trait specific genetic resources to break the yield plateau in finger millet (Eleusine coracana L.).
Authors: Reddy Yellodu Adi Reddy Nanja , Gowda M.V. Channabyre 
Published: July 2023

Abstract
Previously, most breeding efforts were aimed at direct selection for grain yield, and the yield improvement of finger millet in the last two decades is showing a declining trend. Hence, breeding efforts need to be prioritized for trait based improvement. Therefore, to select genetic resources for traits linked to grain yield, selected accessions and popular varieties were evaluated under field conditions in the rainy season of two consecutive years. Data were analyzed for ANOVA, correlations, path effects, and multiple regressions to identify the best-contributing traits for grain yield. The independent parameters, mean ear-head weight (MEW), ear-head number/ plant (ENo.), and threshing percentage were the highest contributors to grain yield. The genotypes for higher mean ear-head weight (GE-4683, 10.31 g, and GE-4596, 10.22 g), and productive tillers (RAU-8, 126.4 m− 2, and PR-202, 104.7 m− 2) were selected over the popular cv. GPU-28 (7.59g average ear-weight and 72.7 PT m− 2, respectively). Theoretical incorporation of higher MEW and ear-head number/plant from the identified lines into cv. GPU-28 predicted an increased grain yield of 17.8% and 29.5%, respectively, indicating the possibility of enhancing grain yield of finger millet. These selected donors can also be used in developing Multi-parent advanced generation inter-cross (MAGIC) population.
Machine learning aided multiclass classification, regression, and cluster analysis of groundwater quality variables congregated from the YSR district
Authors: Mogaraju Jagadish Kumar 
Published: July 2023

Abstract
In this study, machine learning classifiers are integrated with the geostatistical analyses. The data extracted from the surface maps derived from ordinary kriging were passed onto ML algorithms, resulting in prediction accuracies of 95% (Gradient Boosting Classifier) for classification and 91% (Random Forest Regressor) for Regression. Kmeans clustering model provided better results in clustering analysis based on Silhouette, Calinski-Harabasz, and Davies-Bouldin metrics. However, there was certain overfitting in the prediction, probably due to limited data available for analysis. In addition, the interpolation methods might have affected the model performance by producing overfitting and underfitting results. It is to report that the Gradient Boosting classifier in classification mode yielded relatively high prediction accuracies in predicting groundwater quality when three classes were used. The Random Forest Regressor in regression mode returned better results in predicting groundwater quality features when multiple classes were used in this study. This work reports that machine learning algorithms can predict groundwater quality with minimal expense and expertise.
El E-Commerce y los Negocios Exitosos Durante la Pandemia
Authors: Camacho Mario Jesús Aguilar , Arias Eduardo Barrera , Correa José Enrique Luna , Guzmán Saúl Manuel Albor 
Published: July 2023

Propósito: El objetivo de este estudio es identificar cuáles han sido las actividades comerciales más demandadas por el público consumidor a través de dispositivos con internet durante la pandemia. Se exponen las áreas de oportunidad para el comercio local

Metodologia: Es una investigación de carácter cuantitativo, exploratorio; se desarrolló una muestra estadística con un 95% de confianza y un error de estimación del 5%, misma que arroja un tamaño de 385 unidades a muestrear; dadas las circunstancias actuales, se hizo necesario asignar un muestreo por cuotas.

Conclusiones: Se concluye la consolidación de un modelo híbrido de tienda que combine experiencias digitales con compras físicas, permitiendo que los minoristas expandan el alcance de sus estrategias de venta y aprendan a satisfacer a los nuevos clientes y sus comportamientos cambiantes.

Implicaciones de la Investigación: Las personas han cambiado sus hábitos de consumo y las empresas deberán otorgar valor a la fidelidad y los gustos de sus clientes. Se requiere una nueva agenda de investigaciones sobre el e-commerce.

Originalidad y valor: Los resultados muestran que cuando la pandemia termine, el público estará acostumbrado a recibir muchos servicios con el uso de tecnología digital, con alto valor en su satisfacción de consumo.
An Assessment of 25-hydroxyvitamin D Levels and Inflammation Markers in Diabetic Patients with Mild COVID-19
Authors: ŞENAT Almila , YEŞİLYURT Soner , ERİNÇ Osman , OĞLAKÇI İLHAN Ayşegül 
Published: July 2023

Abstract
Introduction: The effects of 25-hydroxyvitamin D (25(OH) D) on inflammation are gaining attention, particularly for diabetic individuals with COVID-19. Therefore, we examined 25(OH) D and inflammation-related markers in diabetic subjects with mild COVID-19.
Materials and Methods: This investigation was intended to be retrospective. The present study covered the medical records of patients who applied to the our hospital between March 2020 and November 2022. All patients suffer from COVID-19. The control group (n = 30) had no diabetes, while the study group (n = 36) had diabetes. Inflammatory markers such as ferritin, C-reactive protein and erythrocyte sedimentation rate were measured in addition to 25 (OH) D levels in each subject. Also, the results of the complete blood count were obtained from the hospital database.
Results: Our participants were matched in terms of gender and age between study groups. ESR, CRP, ferritin, and 25 (OH) D levels, among other variables, did not significantly differ between the non-DM and DM groups (p>0.05). Also, we evaluated all participants according to deficiency of 25 (OH) D, and inflammatory markers were not evaluated in diabetic subjects with COVID-19. However, our findings showed that ferritin levels and Hba1c levels in diabetic individuals significantly correlated positively.
Conclusion: Diabetes mellitus and deficiency of 25 (OH) D are known as risk factors for COVID-19. But as compared to non-diabetic participants with COVID-19, our findings did not reveal any considerable elevation neither inflammatory markers nor changes 25 (OH) D in the diabetics.
Improving energy efficiency of ground thermal energy systems by reducing drag inside pipes
Authors: Saeki Takashi , Kaide Aya , Nagasaka Shigeyuki 
Published: July 2023

AbstractAt specified depths, ground temperature remains almost constant at 15°C, above atmospheric temperatures in winter and below those in summer. Ground thermal energy systems technology circulates water or brine through a heat‐collection tube buried underground and uses the ground thermal energy for air conditioning. However, depending on the facility, the total length of the heat‐collection tube can be several hundred meters. As a result, the pump can require significant electric power. In this study, we adopted a drag‐reduction technique using a cationic surfactant and a counter‐ion system. The optimal addition conditions of additives were investigated with a laboratory‐grade device. We also investigated corrosion inhibitors that do not interfere with the drag‐reduction effect. According to demonstration tests using practical ground thermal energy systems at two locations in Japan, we found that pump power consumption could be reduced by 10%–20% with suitable additive conditions.
A replication and extension of the augmented competing stimulus assessment
Authors: Frank‐Crawford Michelle A. , Hagopian Louis P. , Schmidt Jonathan D. , Kaur Jasmeen , Hanlin Courtney , Piersma Drew E. 
Published: July 2023

AbstractAugmenting competing stimulus assessments by embedding tactics to increase stimulus engagement and disrupt challenging behavior can improve outcomes of treatments for automatically maintained self‐injurious behavior, even for treatment‐resistant subtypes. This study replicated and extended research on augmented competing stimulus assessments by reporting outcomes for 16 consecutively encountered cases with automatically maintained self‐injurious behavior (19 total applications); six participants had treatment‐responsive Subtype 1 and 10 had treatment‐resistant Subtypes 2 or 3. Fewer high‐competition stimuli were identified for individuals with treatment‐resistant subtypes. When response‐promotion and disruption tactics were applied and withdrawn, outcomes improved for six of eight applications. At least one high‐competition stimulus was still effective when maintenance probes were conducted for a subset of participants. Ultimately, at least one high‐competition stimulus was identified for each participant. Although augmenting tactics may not be necessary for all individuals, these findings provide additional support for their efficacy with treatment‐resistant self‐injurious behavior.
Optimization of reversed‐phase solid‐phase extraction for shotgun proteomics analysis
Authors: Bugyi Fanni , Turiák Lilla , Drahos László , Tóth Gábor 
Published: July 2023

AbstractReversed‐phase solid‐phase extraction (SPE) is the method of choice for the purification of proteomics samples. Even though the efficacy of SPE methods is sample type‐dependent, the manufacturers' protocols are used in most studies. Using an optimized SPE method can lead to a substantial gain in identification and recovery. In this tutorial, we give a brief introduction to the most important parameters influencing SPE performance, and we present a short workflow (16 measurements) for optimizing the SPE procedure. This is complemented by method performance assessment instructions and a short troubleshooting guide to help users further understand and investigate their SPE methods.
Long‐Term Perceived Benefit of Pediatric Cochlear Implant Users with Unilateral Hearing Loss
Authors: Hicks Kayla B. , Park Lisa R. , Brown Kevin D. , Dillon Margaret T. 
Published: July 2023

ObjectiveTo assess the perceived benefit of cochlear implant (CI) use for children with unilateral hearing loss (UHL) and evaluate whether perceived abilities are associated with performance on measures of speech recognition and spatial hearing.MethodNineteen children with moderate‐to‐profound UHL underwent cochlear implantation. The Speech Spatial and Qualities of Hearing Questionnaire modified for children (SSQ‐C) were completed by parental proxy pre‐operatively and at 3, 6, 9, 12, 18, and 24 months post‐activation. Linear mixed models evaluated perceived benefits over the study period. Pearson correlations assessed the association between subjective report and performance on measures of word recognition with the CI alone and spatial hearing (speech recognition in spatially‐separated noise and sound source localization) in the combined condition (CI plus contralateral ear).ResultsFor the SSQ‐C, parents reported significant improvements with CI use as compared to pre‐operative perceptions (p < 0.001); improved perceptions were either maintained or continued to improve over the 2‐year post‐activation period. Perceived benefit did not significantly correlate with word recognition with the CI alone or spatial hearing outcomes in the combined condition.ConclusionFamilies of children with UHL observed benefits of CI use early after cochlear implantation that was maintained with long‐term device use. Responses to subjective measures may broaden our understanding of the experiences of pediatric CI users with UHL in addition to outcomes on typical measures of CI performance.Level of Evidence3 Laryngoscope, 134:919–925, 2024
Peptide‐Based Optical/Electronic Materials: Assembly and Recent Applications in Biomedicine, Sensing, and Energy Storage
Authors: Tian Yajie , Li Jieling , Wang Anhe , Li Qi , Jian Honglei , Bai Shuo 
Published: July 2023

AbstractThe unique optical and electronic properties of living systems are impressive. Peptide‐based supramolecular self‐assembly systems attempt to mimic these properties by preparation optical/electronic function materials with specific structure through simple building blocks, rational molecular design, and specific kinetic stimulation. From the perspective of building blocks and assembly strategies, the unique optical and electronic properties of peptide‐based nanostructures, including peptides self‐assembly and peptides regulate the assembly of external function subunits, are systematically reviewed. Additionally, their applications in biomedicine, sensing, and energy storage are also highlighted. This bioinspired peptide‐based function material is one of the hot candidates for the new generation of green intellect materials, with many advantages such as biocompatibility, environmental friendliness, and adjustable morphology.
Antithrombotic therapy with Transcatheter aortic valve replacement
Authors: Dobesh Paul P. , Goldsweig Andrew M. 
Published: July 2023

AbstractAortic valve replacement is a necessary management strategy for patients with severe aortic stenosis. The use of transaortic valve replacement (TAVR) has increased significantly over the last decade and now exceeds traditional surgical aortic valve replacement. Since the valve systems used in TAVR consist of bioprosthetic valve tissue encased in a metal stent frame, antithrombotic therapy recommendations cannot be extrapolated from prior data with differently constructed surgical bioprosthetic or mechanical valves. Data on the use of antithrombotic therapy with TAVR are a rapidly developing area of medicine. Choice of agents depends on several patient factors. Patients undergoing TAVR also have a relatively high incidence of subclinical valve thrombosis. The clinical impact of this phenomenon and the implications for antithrombotic therapy continue to evolve. It is critical for clinicians who treat patients undergoing TAVR to have a firm understanding of practice guidelines, the evolving evidence, and its implications for the use of antithrombotic therapy in these patients.
A novel mitochondria‐targeting compound exerts therapeutic effects against melanoma by inducing mitochondria‐mediated apoptosis and autophagy in vitro and in vivo
Authors: Bai Jun , Wang Hailan , Li Chenwen , Liu Li , Wang Jianv , Sun Changzhen , Zhang Qingbi 
Published: July 2023

AbstractMelanoma is the most invasive skin cancer, with a high mortality rate. However, existing therapeutic drugs have side effects, low reactivity, and lead to drug resistance. As the power source in cells, mitochondria play an important role in the survival of cancer cells and are an important target for tumor therapy. This study aimed to develop a new anti‐melanoma compound that targets mitochondria, evaluate its effect on the proliferation and metastasis of melanoma cells, and explore its mechanism of action. The novel mitochondria‐targeting compound, SCZ0148, was synthesized by modifying the structure of cyanine. Then, A375 and B16 cells were incubated with different concentrations of SCZ0148, and different doses of SCZ0148 were administered to A375 and B16 xenograft zebrafish. The results showed that SCZ0148 targeted mitochondria, had dose‐ and time‐dependent effects on the proliferation of melanoma cell lines, and had no obvious side effects on normal cells. In addition, SCZ0148 induced melanoma cell apoptosis through the reactive oxygen species‐mediated mitochondrial pathway of apoptosis and promoted autophagy. SCZ0148 significantly inhibited the migration of melanoma cells via a matrix metalloprotein 9‐mediated pathway. Similarly, SCZ0148 inhibited melanoma cell proliferation in a concentration‐dependent manner in vivo. In summary, SCZ0148 may be a novel anti‐melanoma compound that targets mitochondria.
Hydrogeochemical modelling of groundwater in a fractured Carboniferous sandstone aquifer
Authors: Jagert Felix , Immenhauser Adrian , Wohnlich Stefan 
Published: July 2023

AbstractDeep groundwater monitoring in tight bedrock is not commonly performed and rarely documented. For a case study in Bochum, NRW, deep monitoring wells allow groundwater investigation in the outcropping Carboniferous down to a depth of 186 m. Groundwater monitoring was carried out by combining sampling of the monitoring wells and local springs at the site. Inverse models were developed using the hydrogeochemical code PHREEQC to understand the natural geochemical processes of deep groundwater in the coal-bearing sandstone. The identified hydrogeochemical processes are pyrite oxidation in shallow fracture systems and Na-Ca/Mg cation exchange in deep fracture systems. Core samples reveal fractures containing Fe-dolomite and calcite cements. A freshening process dominates the deep fractured rocks, where fresh water is flushing a saline aquifer. The data presented here support the planning of further monitoring wells and help to improve future modelling approaches.
An efficient way to calculate contact pattern movement coefficients
Authors: Fingerle Andreas , Otto Michael , Stahl Karsten 
Published: July 2023

AbstractPlanetary gearboxes are often used for their efficiency and high torque density. In large-scale wind turbine gearboxes with a rotating planet carrier, an effect called contact pattern movement was discovered where the contact pattern moves in the width direction of the mesh while the carrier rotates. A coefficient to evaluate this behavior was previously defined but its calculation requires a lot of computation time and accurate measurements can potentially be very expensive. Therefore in this publication an approach is developed to calculate an approximate contact pattern coefficient from a limited amount of data.
On the detection of lateral movement through supervised machine learning and an open-source tool to create turnkey datasets from Sysmon logs
Authors: Smiliotopoulos Christos , Kambourakis Georgios , Barbatsalou Konstantia 
Published: July 2023

AbstractLateral movement (LM) is a principal, increasingly common, tactic in the arsenal of advanced persistent threat (APT) groups and other less or more powerful threat actors. It concerns techniques that enable a cyberattacker, after establishing a foothold, to maintain ongoing access and penetrate further into a network in quest of prized booty. This is done by moving through the infiltrated network and gaining elevated privileges using an assortment of tools. Concentrating on the MS Windows platform, this work provides the first to our knowledge holistic methodology supported by an abundance of experimental results towards the detection of LM via supervised machine learning (ML) techniques. We specifically detail feature selection, data preprocessing, and feature importance processes, and elaborate on the configuration of the ML models used. A plethora of ML techniques are assessed, including 10 base estimators, one ensemble meta-estimator, and five deep learning models. Vis-à-vis the relevant literature, and by considering a highly unbalanced dataset and a multiclass classification problem, we report superior scores in terms of the F1 and AUC metrics, 99.41% and 99.84%, respectively. Last but not least, as a side contribution, we offer a publicly available, open-source tool, which can convert Windows system monitor logs to turnkey datasets, ready to be fed into ML models.