bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vezetői motiváció a munkaerő-megtartás szolgálatában, különös tekintettel a dél-dunántúli régió kis- és középvállalkozásaira
Authors: Kőmüves Zsolt , Poór József , Karácsony Péter 
Published: September 2022

A TANULMÁNY CÉLJA
Tanulmányunk célja feltárni, hogy a kis- és középvállalkozások (KKV-k) miként válaszoltak a koronavírus járvány gazdasági hatásaira, milyen kiválasztási, munkaerő-megtartást segítő és ösztönző intézkedéseket vezettek be annak érdekében, hogy csökkentsék a fluktuációt a szervezetüknél.
ALKALMAZOTT MÓDSZERTAN
Vizsgálatainkat 108, a dél-dunántúli régióban székhellyel rendelkező vállalkozás vezetőjének körében végeztük. Vállalati kérdőíves felmérés keretében (N=108) vizsgáltuk a koronavírus okozta anomáliákat, a munkaerőhiány okait, a munkaerő kiválasztás szempontrendszerét, valamint a munkaerő megtartás érdekében alkalmazott motivációs stratégiákat. Az adatok értékelése során SPSS programcsomagot használtuk, a háttérváltozók és az egyes válaszok közötti összefüggések kimutatása érdekében kereszttábla elemzést végeztünk, míg a változók közötti összefüggések statisztikai szignifikanciájának mérésére Pearson-féle Khi négyzet (χ2) próbát használtunk, ezen kívül a kereszttáblás elemzés során megvizsgáltuk a Crammer-féle együtthatót.
LEGFONTOSABB EREDMÉNYEK
A járvány gazdasági következményei azonnal és közvetlenül érintették az általunk megkérdezett középvállalkozások 73%-át, míg a kisvállalkozások 46%-át. A kialakult járványhelyzet gyors reakcióra kényszerítette a munkáltatókat. A leggyakoribb válasz az ún. „home office” munkavégzés bevezetése volt, ezt követte a szabadságok elrendelése, valamint a rövidített munkaidő. A kapott eredmények szerint a dolgozók 16%-ának megszűnt, vagy csökkent a jövedelme. A vizsgált vállalkozások kiválasztási folyamatára a gondos és alapos kiválasztás, a próbanap tesztelés volt jellemző, de fontos szerepet kapott a munkatársi ajánló program működtetése, illetve a bizalom megelőlegezése is. Valamennyi megkérdezett vállalkozás alkalmazott munkaerő-megtartó stratégiát. A vezetői döntésekbe való bevonás a szolgáltatás és a kereskedelem területén, a különböző tréningek segítségével történő készségek, kompetenciák fejlesztése a mezőgazdaság, míg a mentori hálózat működtetése az informatika területén kapott hangsúlyosabb szerepet. A megkérdezett vezetők a rugalmas foglalkoztatási formákat tartják leginkább alkalmasnak a munkaerő megtartására, de fontos szerepet tulajdonítanak a csoportkohézió javításának (pl. tréningek szervezése), illetve a dolgozók béremelésének is.
GYAKORLATI JAVASLATOK
A kutatás eredményei hozzájárulnak a stratégiai döntések megtervezéséhez, a kiválasztási, toborzási módszerek meghatározásához, valamint a kis- és középvállalkozások motivációs stratégiáinak kijelöléséhez. Mindemellett kutatás-módszertani szempontból, úgy gondoljuk, hogy a szervezetek kiválasztási, munkaerő-megtartási stratégiáit vizsgáló kutatásokhoz olyan mérési eszközt sikerült kidolgozni, amely a korábbiaknál jobban illeszkedik a kutatási gyakorlatokhoz, így pontosabb mérést tesz lehetővé.
Sağlık çalışanlarının kayırmacılık algıları ile örgütsel sessizlik davranışları arasındaki ilişkinin incelenmesi: Kamu ve özel hastaneler üzerinde karşılaştırmalı bir araştırma
Authors: ÖZTIRAK Mesut , BAYRAM Vildan 
Published: September 2022

Bu çalışmanın temel amacı, sağlık çalışanlarının kayırmacılık algıları ile sessizlik davranışları arasındaki ilişkiyi kamu ve özel hastane çalışanları açısından incelemektir. Ayrıca demografik özelliklerin, kayırmacılık algısı ve örgütsel sessizlik üzerinde farklılık gösterip göstermediğine bakılmıştır. Araştırmanın evrenini, 2021 yılında İstanbul ilinde görev yapmakta olan bir kamu hastanesinin 3200 çalışanı ve bir özel hastanenin 1500 çalışanı olmak üzere toplam 4700 sağlık çalışanı oluşturmaktadır. Kolayda örneklem yöntemi kullanılarak 01.06.2021 – 30.08.2021 tarihleri arasında 411 sağlık çalışanına ulaşılmıştır. Verilerin analizi SPSS 24.0 ile yapılmıştır. Demografik değişkenlerin analizinde t testi ve ANOVA testi kullanılmıştır. Ölçek maddeleri arasındaki ilişki Pearson korelasyon testi ile analiz edilmiştir. Ölçek maddeleri arasındaki etki ise regresyon testi ile analiz edilmiştir. Analiz sonuçlarına göre kayırmacılık, nepotizm, favorizm ve kronizm algılarının, kamu hastanelerinde çalışanların özel hastanelerde çalışanlara göre daha yüksek olduğu gözlenmiştir (p<0,05). Kabullenici, savunmacı ve prososyal sessizlik davranışlarının, kamu hastanelerinde çalışanların özel hastanelerde çalışanlara göre daha yüksek puana sahip olduğu gözlenmiştir (p<0,05). Örgütsel sessizlik puanının sağlık sektörü bakımından istatistiksel olarak anlamlı farklılık göstermediği belirlenmiştir (p>0,05). Ayrıca kayırmacılık algısı ve örgütsel sessizlik değişkenlerinin; yaş, cinsiyet, medeni durum, eğitim durumu, işletmede çalışma süresi, toplam çalışma süresi, işletmedeki pozisyonu, işletmede tanıdığının olması gibi demografik özelliklere göre anlamlı farklılıklar gösterdiği anlaşılmıştır. Bu sonuçlar ile birlikte çalışmanın, sağlık sektöründe yapılan kayırmacılık davranışlarına dikkati çekerek, önerilen çözümler doğrultusunda kayırmacılık davranışlarının azalmasını sağlayacağı, ayrıca örgütsel sessizlik yerine çalışanların özgürce düşüncelerini açıklayabilecekleri çalışma ortamlarının yaratılmasına katkı sağlayacağı düşünülmektedir.
Security by Design für Automatisierungssysteme
Authors: Fluchs Sarah , Tastan Emre , Mertens Martin , Ritter Jochen , Horch Alexander , Drath Rainer , Fay Alexander 
Published: September 2022

„Security by Design“, also das Treffen von Security-Entscheidungen schon während des Engineerings von Automatisierungssystemen, ist ein häufig formuliertes Idealbild für Security in der Industrie. Doch zu häufig bleibt es bei diesem gut klingenden, aber vagen Begriff. Was Security by Design für Automatisierungssysteme eigentlich genau bedeutet (oder bedeuten müsste) und wie es praktisch umzusetzen wäre, ist ungeklärt. Dieser Beitrag klärt Grundbegriffe zu Security by Design und analysiert existierende Ansätze anhand der Mechanismen, wie Security in den Engineering-Workflow integriert wird. Schlussendlich werden Anforderungen an ein Konzept abgeleitet, das Security by Design für Automatisierungssysteme in der Praxis anwendbar macht.
Desconexión moral cívica, empatía y actitudes de futuros docentes hacia la diversidad cultural
Authors: Cabrera-Vázquez Antonio , Romera Eva  M. , Ortega-Ruiz Rosario , Gil del Pino Carmen , Falla Daniel 
Published: September 2022

La falta de compromiso moral y empatía se ha relacionado con conductas transgresoras que deterioran la convivencia escolar. Pero hay poco trabajo científico y educativo que ponga en evidencia la relación que ambas variables mantienen con las actitudes de los docentes así como de los futuros docentes en el marco de una sociedad que tiende a la diversidad cultural y a la educación inclusiva. El estudio que se presenta analiza dichas actitudes en un total de 710 estudiantes universitarios de los Grados de Educación Infantil y Primaria (82.0% mujeres; M edad = 20.72; DT= 3.93). Se trata de un estudio transversal ex post facto retrospectivo mediante el uso de autoinformes. Los resultados confirmaron una relación significativa e inversa entre las actitudes positivas hacia la diversidad cultural y ciertas expresiones de desconexión moral cívica. También se halló que la empatía cognitiva y afectiva ejercieron un efecto indirecto en esta relación. Se discute la importancia de trabajar la empatía y la moralidad transversalmente en los planes de estudio de la formación de los futuros educadores dada la importancia que habría que atribuir a las actitudes y el compromiso moral cívico hacia una educación igualitaria que desarrolle el pensamiento crítico en las aulas.
Multiple Mw≥6.5 Strong-Major Paleoearthquakes Occurred Before the 2017 Mw 6.3 Jinghe Earthquake: Evidence from Trenching the Jinghenan Fault
Authors: Hu Zongkai , Yang Xiaoping , Li An , Yang Haibo , Yuan Haodong , Zuo Yuqi 
Published: September 2022

AbstractPartial fault segment rupture may increase local earthquake hazards. To verify whether a strong earthquake will occur after the lower ramp rupture 2017 v6.3 Jinghe earthquake, we excavated a trench at the east segment of the fault near the Xiatianji reservoir. Integrating the trench wall interpretation and stratigraphic optically stimulated luminescence (OSL) ages, we constrain four paleoearthquakes. They are named E1–E4 from the oldest to the youngest and occurred at 29.8 ± 3.0, 22.4 ± 1.9, 14.7 ± 1.9, and after 11.6 ± 0.9 ka B.P., respectively. The average recurrence interval between E1, E2, and E3 is 7.3 ± 0.7 ka B.P. This recurrence interval may have exceeded the elapsed time since the most recent surface rupturing earthquake. The overlap between the last event and the average recurrence interval may indicate that the time since the most recent event reaches the recurrence interval, and a major earthquake (7 &lt; M &lt; 8) may yet occur after the 2017 Jinghe event. Most historical and instrumental major great earthquakes occurred on higher slip rate faults at the northern and southern piedmont of Tian Shan. The low slip rate thrusts within the Tian Shan also have the potential to generate major earthquakes.
Atypical presentation of breath holding spells: two case reports with literature review
Authors: Kishore Varma G. V. K. , Govardhan P. , Lakshmi K. Vijaya 
Published: September 2022

Breath holding spells are a common form of a benign sudden non-epileptic condition commonly seen in healthy children 6 to 48 months of age. They are usually triggered by an emotional stimuli or minor trauma. Based on the color change, they are classified into 3 types, cyanotic, pallid, and mixed. Pallid breath holding spells result from exaggerated, vagally-mediated cardiac inhibition, whereas the more common, cyanotic breath holding spells are of more complex pathogenesis which is not completely understood. A detailed and accurate history is the mainstay of diagnosis. An EKG should be strongly considered to rule out long QT syndrome. Spontaneous resolution of breath-holding spells is usually seen, without any adverse developmental and intellectual sequelae. Rare cases of status epilepticus, prolonged asystole, and sudden death have been reported. Reassurance and education are the mainstay of therapy. Occasionally, pharmacologic intervention with iron, piracetam; atropine may be of benefit. Here we present 2 cases, one of each, pallid and cyanotic breath holding spells.
Preparation A Cross-Linked Copolymer By Using Unsaturated Poly(2-Butene Maleate) Polyester and Methyl Methacrylate
Authors: SALTAN Fehmi 
Published: September 2022

In this study, synthesis of unsaturated Poly(2-Butene Maleate) polyester by condensation polymerization and preparation of cross-linked graft copolymer with methyl methacrylate are presented. For this purpose, unsaturated polyesters were synthesized in four different time periods (12h, 24h, 36h, 48h) in the presence of hydroquinone using 1,4-Butanediol-2-ene and maleic anhydride. Then, the obtained unsaturated polyester was purified on the alumina column and used to obtain cross-linked copolymer with methyl methacrylate. Here in, methyl methacrylate acts as both co-monomer and cross-linking agent.
In the preparation of Poly(2-Butene Maleate), the optimization study of the molecular weight and yield ratios with the time parameter was carried out. In the results obtained, it was observed that the maximum molecular weight was reached after almost 36 hours (Mn=3400). It was observed that time did not have much effect on the yield. Structural characterizations of the obtained products were supported by FT-IR and NMR analyzes. In thermal analysis, it was observed that the thermal stability of Cross-linked graft copolymer is higher than unsaturated polyester but lower than pure Poly(methyl methacrylate).
Identification of Ectoparasites in Pearl Catfish (Clarias gariepinus) One and Three Months Ages in Makalele Cultivation Tuban District, Tuban Regency
Authors: Ardhya Galuh Swa , Nimah Azizatun , Plumeriastuti Hani , Koesdarto Setiawan , Budiarto Budiarto 
Published: September 2022

ABSTRACT The purpose of this study was to identify ectoparasites that attack pearl catfish and the incidence of ectoparasite infestation in 100 samples of pearl catfish aged one and three months. This research was carried out from January to March 2021 in Makalele's cultivation, Tuban's District, Tuban's Regency. The method used in this research is skin scraping and gill installation. Data analysis using Chi-Square Test with SPSS version 24.0 for windows. The results showed that there were 3 types of ectoparasites found, Trichodina nobilis, Trichodina pediculus, Chilodonella sp., Dactylogyrus sp. and the highest incidence of ectoparasites occurred in young fish compared to old fish with a percentage of 35% and 25%, respectively, and based on the chi-square test there was no significant difference (p️≥0.05). Keywords: Clarias gariepinus, infestation level, ectoparasites.
Mineral Formation at the East Pauzhetka Thermal Field (South Kamchatka) as an Indication of Influence of a Deep-Seated Alkaline Fluid and an Epithermal Ore-Forming System
Authors: Rychagov S.N. , Sandimirova E.I. , Chernov M.S. , Kravchenko O.V. , Sergeeva A.V. 
Published: September 2022

Abstract
—A sequence of argillized rocks and hydrothermal clays of the East Pauzhetka thermal field was studied in detail by means of drilling and trenching. We have identified zones composed of unusual mineral associations; their formation conditions are considered. The structure of the base of the hydrothermal-clay mass is shown. The source rocks (brecciated andesites) of the base are altered by hydrothermal–metasomatic processes and are represented by smectite–chlorite–K-feldspar–zeolite–carbonate–siliceous aggregate with sulfides, phosphates, titanium silicates and zircon silicates, and other mineral phases, including rare metals. A conceptual geological and geochemical model for the formation of argillisites and zones with mineral associations has been plotted. It is assumed that modern mineral formation in the East Pauzhetka thermal field inherits an epithermal ore-forming system located in the influence zone of a deep-seated fluid, the derivates of which are outflowing near the surface as alkaline metal-bearing solutions of the Pauzhetka hydrothermal system.
Surface-to-Borehole Electromagnetics Using an Array System: A Case Study for Co2 Monitoring and the Energy Transition
Authors: Strack Kurt M. , Barajas-Olalde Cesar , Davydycheva Sophia , Martinez Yardenia , Soupios Pantelis 
Published: September 2022

Abstract
Fluid imaging technologies are used in a wide range of E&P applications. Among geophysical methods, electromagnetics (EM) determines subsurface resistivities and thus responds to fluid changes. On the path to zero carbon footprint, the most significant potential for EM lies in monitoring geothermal, carbon capture, utilization and storage (CCUS), and enhancing oil recovery (EOR).
To optimize reservoir fluid monitoring, we calibrate surface measurements to well logs resulting in a 3D anisotropic model consistent with borehole data. This is done before and after depletion or injection to estimate a time-lapse reservoir response. As part of a carbon capture and storage project, we carried out baseline measurements and validated the surface EM data to the 3D anisotropic borehole model. The monitoring workflow for this project can easily be adapted for other applications to support the energy transition.
From this, we learned that measurement accuracy requirements higher than 1 % because we are often imaging small anomalies. While there are always limits in acquisition set by industrial noise, we derived two ways of increasing the anomaly. One is by using, similar to a borehole focused logs, focusing methods in the acquisition setup. This is still subject to measurement accuracy limitations and limited to electric fields only. Another way is to add borehole sensors that increase the sensitivity by around a factor of 10. While shallow (around 50 m) is sufficient, they can be extended to deeper borehole sensors, bringing the measurements close to the anomaly and is thus the preferred approach. This, in combination with calibration back to the 3D anisotropic borehole log allows you to certify the data for its information content. This will give you quantifiable ways to derive risk values and significantly reduce acquisition and monitoring operations cost.
Successful Reservoir Management and Optimization of Mature Steamflood Projects Using Artificial Intelligence
Authors: Popa Andrei , Lolley Chris , Munoz Juan , Luz Lozano Ramos , Angelo Chris , Lewis Kenneth , Lwin Al , Tirtawidjaja Alexia , Umbriaco Jacob 
Published: September 2022

Abstract
The reservoir management processes of heavy oil reservoirs are challenging and require different types of considerations when contrasted to conventional reservoirs. The development and optimization of heavy oil thermal EOR projects entails the injection of steam through dedicated injectors to assure the viscosity reduction necessary for the oil to freely flow thorough the porous media into the producing wells. The four stages of a steamflood development project consist of ramp-up, peak and plateau, decline and tail-end production. Optimization of each stage is critical for the success of the project.
The current study addresses the tail-end stage of the steamflood project and focuses on the optimization component of steam used, particularly steam reduction, within reservoir management practices. The novel approach presented in this work allows successful identification of mature areas within the reservoir and/or projects that are ready and would benefit from significant steam reduction. The methodology uses heat management knowledge, large datasets, and artificial intelligence (AI) technologies. The workflow exploits the log data, existing full-field earth model, the current steamflood conditions, and automates the screening and ranking of maturity of development patterns in large heavy oilfields.
The methodology outperformed the previous manual approach, not only by better identifying areas and opportunities, but also optimizing the steam reduction schedule, and in certain cases recommending steam redeployment to potentially increase field production.
Machine-Learning-Assisted Modeling of Diverting Agent Performance for Multiple Fracture Propagation
Authors: Chan Chin Hsiang , Furui Kenji , Mandai Shusaku , Kuwagaki Setsuka , Kanamori Yuuya , Hirano Yasuhiro 
Published: September 2022

Abstract
This study discusses the development of a diverting agent (DA) performance prediction model for simultaneous hydraulic fracture propagation based on numerical and machine learning approaches. The filtrate capacity of a particulate DA plug was quantified by the filtrate coefficient obtained from the analyses of past filtrate experimental data, with a parametric study performed to evaluate the influence of the filtrate coefficient on multiple fracture propagations.
We developed a wellbore-fracture coupled model that considered filtration by a DA for multiple hydraulic fractures. The proposed model solved flux redistribution and simultaneous fracture propagation after diversion. The filtrate performance of the DA can be adjusted and controlled by the filtrate coefficient. Furthermore, we developed a prediction model using a machine learning approach to evaluate the performance of the DA. The model was constructed using four different algorithms: MLP, SVC, RF, and AdaBoost, with each model evaluated and compared using five evaluation indicators. Furthermore, a feature importance analysis was conducted to assess the contribution of the experimental parameters employed in this study.
The numerical modeling results were validated against the analytical solutions for a plane-strain Khristianovic– Geertsma de Klerk (KGD) model. A series of numerical simulations were conducted to investigate the multi-fracture growth patterns under different filtrate coefficients during fracturing treatments. The parametric study showed that a DA based on Butane-diol vinyl alcohol co-polymer had sufficient filtration capacity, equivalent to that of ball sealers when the filtration coefficient was less than 10 [mL/min0.5], with almost no filtrate capacity when the filtration coefficient was over 1×10⁶[mL/min0.5]. As for the machine learning models, all models showed over 80% model scores; however, the RF and AdaBoost models, which are ensemble learning algorithms, provided better performance in terms of the five evaluation indicators compared to the other two models. Through the feature importance analysis, we calculated the contribution of each experimental parameter to the filtrate performance of DA.
The results of this study clearly demonstrate the influence of the filtrate coefficient on the diversion process. To the author's knowledge, this study is the first published paper to link the filtrate coefficient and actual multifracture propagation. The DA process developed in this study helps evaluate the diversion performance of particulate diverting agents. Furthermore, the machine learning model clarified the ambiguous performance evaluation of DA and enabled the prediction of the DA filtrate performance from complicated physical and chemical processes.
Compressed Air Pneumatics for Methane Mitigation
Authors: Garaway Isaac , Pang Kevin 
Published: September 2022

Objectives/Scope
With the challenge of reaching carbon neutrality, the energy industry will need to be transformed. One of the key challenges facing the industry is eliminating Scope 1 emissions from the pneumatic devices used in wellpad automation and control. This practice accounts for roughly 45 million tons of CO2E/yr in the United States alone. Eliminating these emissions from existing brown-field sites is a significant challenge given that many of these well pads are in remote locations and suffer from a lack of reliable and sustainable electric power.

Methods, Procedures, Process
Compressed Air Pneumatics (CAP) is an innovative technology that replaces the methane emissions of pneumatic devices with clean, dry, compressed air. By employing highly reliable free-piston Stirling engine technology the end-user utilizes a small fraction of the normally vented methane to efficiently generate continuous and reliable electric power and clean, dry, compressed instrument air. CAP systems conserve valuable instrument gas and entirely eliminate methane venting at the well pad. They also eliminate the "wet-gas" issues associated with low-bleed pneumatic device contamination. In addition to compressed air for well pad automation, CAP technology is able to further provide additional utility grade electric power for additional well pad loads. Operators are able to further reduce their carbon footprint by harnessing the reject heat of the Stirling engine to keep process lines warm, further displacing the emissions of low-efficiency gas fired heaters. Another advantage that Stirling engine based CAP solutions gives upstream producers is the option to commission their instrument air system on tanked fuels like propane and readily switch over to instrument gas once wells are operational.

Results, Observations, Conclusions
A deployed CAP system on a multi-well pad in the Barnett Shale formation in Texas mitigated the vented emissions of 42,000 SCF of Methane in a 30-day period, which is equivalent to the removal of over 1,000 tCO2E on an annual basis, equivalent to removing 200 cars of the road. This same wellpad had zero downtime due to lack of pneumatic control or vent contamination across the same period. In addition to pneumatic control the CAP technology provided the wellpad prime power electricity, eliminating the need for large solar panels and cycling battery banks.

Novel/Additive Information
This technology when rightsized can maximize system value, driving down the cost of methane abatement below $2/tCO2e