bluuebunny/crossref_metadata_2025 huggingface dataset:
THE EFFECTS OF INTERNATIONAL LOGISTICS IN GLOBAL VALUE CHAIN TRADE
Authors: Zaninović Petra Adelajda , Bugarčić Filip Ž.
Published: December 2023

The current empirical literature shows that logistics plays a vital role in increasing the total volume of international trade. However, there is scarce literature on the impact of logistics performance on global value chain trade. Therefore, the objective of this paper is to investigate the effect of logistics performance on global value chain trade, measured by the value-added exports. The empirical specification of this paper is based on the structural gravity model of international trade. The analysis is based on biennial panel data on bilateral trade flows for the EU-15, CEE, and the Western Balkans and covers the period from 2010 to 2018. The model is estimated with a Poisson Pseudo Maximum Likelihood Estimator. The results show that logistics performance appears to have significant positive effects on global value chain trade and that the logistics performance of the partner country plays a more critical role than the logistics performance of the reporting country. Institutional quality matters greatly for global value chain trade. Individual differences in the observed variables were found between selected groups of countries. The need to improve logistics performance and invest in knowledge and technology will help countries improve in value chains, along with adequate institutional support.
Constraints on the Alfvénicity of Switchbacks
Authors: Agapitov O. V. , Drake J. F. , Swisdak M. , Choi K.-E. , Raouafi N.
Published: December 2023

Switchbacks (SBs) are localized structures in the solar wind containing deflections of the magnetic field direction relative to the background solar wind magnetic field. The amplitudes of the magnetic field deflection angles (θ) for different SBs vary from ∼40° to ∼160°–170°. Alignment of the perturbations of the magnetic field (Δ
B
) and the bulk solar wind velocity (Δ
V
) is observed inside SBs so that Δ
V
∼ Δ
B
when the background magnetic field is directed toward the Sun (if the background solar wind magnetic field direction is anti-sunward then Δ
V
∼ − Δ
B
, supporting anti-sunward propagation in the background solar wind frame). This causes spiky enhancements of the radial bulk velocity inside SBs. We have investigated the deviations of SB perturbations from Alfvénicity by evaluating the distribution of the parameter α, defined as the ratio of the parallel to Δ
B
component of Δ
V
to Δ
V

A = Δ
B
/4π
n

i

m

i
inside SBs, i.e., α = V
∣∣/∣Δ
V

A∣ (α = ∣Δ
V
∣/∣Δ
V

A∣ when Δ
V
∼ Δ
B
), which quantifies the deviation of the perturbation from an Alfvénic one. Based on Parker Solar Probe (PSP) observations, we show that α inside SBs has systematically lower values than it has in the pristine solar wind: α inside SBs observed during PSP Encounter 1 were distributed in a range from ∼0.2 to ∼0.9. The upper limit on α is constrained by the requirement that the jump in velocity across the switchback boundary be less than the local Alfvén speed. This prevents the onset of shear flow instabilities. The consequence of this limitation is that the perturbation of the proton bulk velocity in SBs with θ > π/3 cannot reach α = 1 (the Alfvénicity condition) and the highest possible α for an SB with θ = π is 0.5. These results have consequences for the interpretation of switchbacks as large amplitude Alfvén waves.
Correlation between Supergranular Lane Widths and Sunspot Number; A Simple Way to Predict the Amplitude of Sunspot Cycle
Authors: Raju K P , Singh Jagdev , Ravindra Belur , Priyal Muthu
Published: December 2023

The network structure seen in the solar images is the outline of supergranulation, which is the large-scale convection in the Sun with a size of about 30 Mm and a lifetime of 24 hr. We have obtained the supergranulation lane widths from the autocorrelation function of image windows from the Ca ii K spectroheliograms. The images are obtained from the 100 yr Kodaikanal data, which contains information on more than nine solar cycles. The lane widths are known to show a positive correlation with the sunspot number. It is now found that the lane widths, obtained near the mid-latitudes during the sunspot cycle minima, are strongly correlated to the following sunspot number maxima. A straight-line fit adequately describes the variation. It is also found that the correlation is weak or insignificant at other times. The strong correlation of the two parameters thus provides a simple way to predict the maximum sunspot number about 4–5 yr in advance. The results are important in space weather predictions and solar irradiance variations.
Changes in caddisflies community composition and distribution along 60 years timespan monitoring in Luxembourg
Authors: Dohet Alain , Vray Sarah , L’Hoste Lionel
Published: December 2023

In Luxembourg, caddisflies have been systematically collected since the early Sixties. Three periods of exhaustive sampling may be distinguished: the Sixties; 1994 to 2002; and a long period from 2007 to the present time in the frame of the Water Framework Directive. Bearing in mind the uneven sampling procedure across periods, we aim to document changes in community composition and distribution through time including the nature of these changes (e.g. gains and losses of species). We hypothesise different trends of species gains and losses for specialist species in comparison to generalist species. Therefore, we propose a method to identify specialist and generalist species in our dataset.

Historical data (1961 to 1968) lack information on precise locations and abundance of specimen collected. Consequently, cell grids of original distribution maps are used to compare caddisfly community assemblages along the three monitoring periods. We assess the changes that occur on presence/absence data in specific groups of species (i.e. cold-adapted, warm-adapted specialists and generalist species).

Temporal β-diversity results reveal that survey intervals for each monitoring period are dominated by species losses when the comparison is restricted to cold-adapted species. On the other hand, warm-adapted and generalist species are increasing from the Sixties period when compared to the two next periods (1994–2002 and 2007–2020). However, the comparison of the most recent periods reveals species losses even for the warm-adapted and generalist species.

This complex picture of caddisflies species losses and gains in different ways through time, amongst river types and in response to different pressures, is discussed.
Computer simulation of thermal processes involving Sr and Ca radionuclides in the process of heating radioactive graphite in an air atmosphere
Authors: Barbin Nikolay M. , Titov Stanislav A. , Terentiev Dmitry I. , Kobelev Anton M.
Published: December 2023

The paper presents the results from a thermodynamic analysis of the behavior of Sr and Ca radionuclides in the process of heating radioactive graphite in an air atmosphere. The TERRA software package was used for the thermodynamic analysis in a temperature range of 300 to 3600 K to determine the possible composition of the ionized, gaseous and condensed phases. It has been found that strontium is in the form of condensed SrCl2(c) and gaseous SrCl2 in a temperature range of 300 to 1600 K, and in the form of gaseous SrCl2, SrO, SrCl and Sr and ionized SrCl+, Sr+ and SrO+ when the temperature is increased from 1600 to 3600 K. Calcium is in the form of condensed CaCl2(c), CaUO4(c), CaO(c) and gaseous CaCl2 in the temperature interval between 300 and 2100 K, and in the form of gaseous Ca, CaCl and CaO and ionized Ca+, CaO+ and CaCl+ when the temperature is increased from 2100 to 3600 K. The paper determines the key reactions within individual phases and among condensed, gaseous and ionized phases. The equilibrium constants of their reactions have been calculated. Based on the results obtained, dependence plots are presented for the Sr and Ca radionuclide distribution by phases.
A computer code for optimizing the neutronics model parameters based on results of reactor physics experiments
Authors: Andrianov Andrey A. , Andrianova Olga N. , Korovin Yury A. , Kuptsov Iliya S. , Spiridonova Anastasiya A.
Published: December 2023

The paper describes in brief the functional capabilities of a computer code for optimizing the neutronics model parameters (neutron data, technological parameters, and their covariance matrices) based on results of reactor physics experiments using conditional nonlinear multi-parameter optimization algorithms. The code’s application scope includes adjustment of neutron constants, technological parameters and their covariance matrices based on integral measurement results, formulation of requiremen117198ts with respect to the neutron data uncertainties for achieving the target accuracies in calculation of the reactor functionals, and estimation of the reactor performance prediction accuracy, as well as the informativity and similarity metrics of reactor physics experiments with respect to each other and in relation to the target reactor system. The paper also considers some examples of using the code to refine the neutronics models of nuclear reactor and fuel cycle systems based on results of reactor physics experiments.
Forecasting the population growth and wheat crop production in Pakistan with non-linear growth and ARIMA models
Authors: Islam Muhammad , Shehzad Farrukh , Ray Samrat , Abbas Mirza Waseem
Published: December 2023

Food security as a major social concern and a global threat, requires better policy decisions based on empirical studies. This work presents a comparative statistical analysis of different methods to forecast wheat area, productivity, production, and population growth rate in Pakistan. Time series data from 1950 to 2020 were analyzed using various methods such as ARIMA, the compound growth exponential regression model (CGREM), Cuddy Della Valle instability index (CDVI), and decomposition analysis. The results show that CGREM performs better than other models. Periodic compound growth rates indicate that wheat area and yield decrease by about 67.0% and 40.0%, while the population decreases by 31.7%. For the period 2001-2020, the compound growth reaches the level of 0.60% for wheat area, 1.21% for yield, while it is high for the population and amounts to 2.22%. The overall compound growth rate for wheat area and yield (about 1.207%, 2.326%) is lower compared to the population (about 2.839%). The paper presents forecasts for wheat area, yield, and population in Pakistan will rise: 12.7%, 25.5%, 31.8% in 2030 and 43%, 97.8%, and 129% in 2050. The results of this study provide empirical evidence for the necessity of policy decisions addressing the problem of food security in Pakistan.
The International Classification For Nursing Practice Project
Authors: Clark June
Published: December 2023

The rationale for standardised languages and classifications for nursing applies all over the world. Development in the USA was earlier than in other countries because of the imperatives of reimbursement systems, accreditation; and litigation. However, translation of languages developed in and for the USA may not be appropriate for other countries' practice; cultures, or health care systems. Many countries are already developing their own systems in their own languages, but others have no system. The International Council of Nurses' project to develop an International Classification for Nursing Practice will provide a unifying framework for existing systems and a system which can be used in countries which have none. Only when we have such a tool will we be able to describe and compare nursing practice across nations, and test the commonalties and differences of its concepts, values and practices.
Botulinum Toxin Injection for the Treatment of Third, Fourth, and Sixth Nerve Palsy: A Meta-Analysis
Authors: Khalili Mohammad Reza , Roshanshad Amirhossein , Vardanjani Hossein Molavi
Published: December 2023

The efficacy of botulinum toxin injection for the treatment of third, fourth, and sixth nerve palsy was evaluated. PubMed, Scopus, EMBASE, Web of Science, and Google Scholar databases were searched. Data about the duration of palsy (acute vs chronic), cause of the palsy, type of toxin used, mean dose, and other background characteristics were collected. Outcome variables were success rate (defined by alleviation of diplopia or reduction in eye deviation) and standardized mean difference of prism diopter and abduction deficit before and after injection. The Joanna Briggs Institute checklist was implemented for the risk of bias assessment. The analysis included 38 articles, comprising 643 patients. The overall treatment success rate in acute and chronic nerve palsy was 79% and 33%, respectively. The success rate was not significantly different between different subgroups of age, type of botulinum toxin, pre-injection prism diopter, etiology of the palsy, duration of follow-up, and mean dose of botulinum toxin injection. However, in both acute and chronic palsy, diabetes etiology was accompanied by the highest success rate. Overall symptomatic response to botulinum injection was 84% (95% CI: 67% to 96%), whereas functional response was observed in 64% (95% CI: 47% to 79%) of the patients. The odds ratio for the success rate of treatment of palsies with botulinum toxin versus expectant management was 2.67 (95% CI: 1.12 to 6.36) for acute palsy and 0.87 (95% CI: 0.17 to 4.42) for chronic palsy. Botulinum toxin can be used for the treatment of acute third, fourth, and sixth nerve palsy, especially in patients with acute palsy and more severe tropia.

[
J Pediatr Ophthalmol Strabismus
. 2024;61(3):160–171.]
Private Enforcement of EU State Aid Rules: Is There Any Room for National Procedural Autonomy Left?
Authors:   Faculty of Law, University of Maribor, Maribor, Slovenia, Baghrizabehi Denis , Ferčič Aleš ,   Faculty of Law, University of Maribor, Maribor, Slovenia
Published: December 2023

This article deals with the private enforcement of EU State aid rules in national civil proceedings. This kind of enforcement proved to be highly challenging for national judges, particularly those who ignore the limits of the principle of national procedural autonomy. Since the full understanding of those limits is crucial (also) for private enforcement activities, we focus on the principle of the effectiveness of EU law which, when interpreted and applied correctly, most intensively limits national procedural autonomy. In fact, it is questionable if Member States and their courts and judges enjoy a real or genuine autonomy in the discussed field. For this reason, the article first sets the scene by discussing the fundamental legal concepts and principles as being essential for the private enforcement of EU State aid rules in national civil litigious proceedings, and the interplay between private and public enforcement proceedings. The public enforcement case law is used as a benchmark or guide when dealing with open questions of private enforcement. The article offers a careful analysis of selected legal challenges related to remedies and res judicata, which clearly reveal the limits of the principle of national procedural autonomy as mostly set by the principle of effectiveness of EU law. Finally, the main findings of the article are considered in order to answer the core research question; namely, is there any room left for national procedural autonomy (also) in case of private enforcement of EU State aid rules in proceedings before national civil courts?
Review: International Scientific Conference “The Right to Privacy in the Digital Age – In Specific Terms”, Miskolc, 1 December 2022
Authors:   Central European Academy, Budapest, Hungary, Szitás Emma
Published: December 2023

The University of Miskolc – Central European Academy in partnership with the Ferenc Mádl Institute of Comparative Law, Central-European Association for Comparative Law, Hungarian Association for Comparative Law, Slovak Association for Comparative Law, Scientific Association for Comparative Law Poland, Association for the Advancement of Comparative Law Researches in Serbia, Romanian Association for Comparative Law and the University of Opole on the 1st of December had organized an International Scientific Conference under the title “The Right to Privacy in the Digital Age – in specific terms”. The conference was held in the building of the Hungarian Academy of Sciences, which additionally increased the solemnity of the event. The aim of the conference was to present the results of the Central European Professorial Network’s “Right to Privacy” research group through analytical and summary presentations by participating professors and to raise awareness about privacy issues. The research project, “Central European Professorial Network 2022”, involved experts in comparative law from seven Central European countries: the Czech Republic, Croatia, Poland, Hungary, Serbia, Slovakia, and Slovenia.
The Impact of Scene Teaching in Smart Classrooms on Learners’ Learning Performance and Effectiveness
Authors: Liu Xin , Wang Jin
Published: December 2023

As a new teaching method, scene teaching in smart classrooms directly impacts the overall quality and efficiency of education. Two groups of first-year students were selected as the research subjects for a study on intelligent learning performance and outcomes in a smart classroom teaching scenario. The results indicate that the intelligent teaching mode can lead to better outcomes in learners’ intelligent learning. It can improve learners’ participation in intelligent learning and enhance their performance. Additionally, it highlights the significance and differences in learners’ intelligent learning effects. However, the research process must prioritize the dominant role of students and teachers in teaching in smart classroom settings. It should also focus on upgrading software and hardware to enhance effective teaching and on the rational use of multimedia technology in smart classrooms to provide robust support for college students’ intelligent learning.
Multiple Response Optimization of Dissimilar Friction Stir Welding on 6061-T6 Aluminum Alloy and AZ31B Magnesium Alloy
Authors: Vasantha Kumar K.P. , Balasubramanian M. , Arumugam K.
Published: December 2023

In this paper, the optimization of the FSW tool pin profile and shoulder-to-pin ratio is carried out to achieve high tensile strength and hardness for dissimilar Al and Mg alloys. The FSW experiment with Al and Mg alloys is designed according to Taguchi's L9 orthogonal array by varying the tool pin profile and shoulder-to-pin diameter ratio. Grey relation analysis is a multiple response optimization method used to optimize the result of the experiment. The results show that the optimum tool pin profile is a cylindrical threaded pin profile tool, and the optimum shoulder-to-pin diameter ratio is 3. The maximum tensile strength, yield strength and hardness achieved in this experiment is 147 MPa, 139 MPa, and 96 HV respectively.
Research and Development Status of Laser Cladding on Stainless Steel Alloys: A Review
Authors: Rao Srikrishna Bhaskar , Venkadeshwaran K. , Shivaprasad Y. Naidu
Published: December 2023

Stainless steels as one of the most appealing structural material in many fields of industries because of its resistance to corrosion, high tensile strength, durability, temperature resistant etc. To improve its surface properties and overcome issues like large heat affected zones, poor surface quality, and limited dissolvability, researchers have explored surface modifications through laser cladding. This paper gives a detailed review about the work done in recent years, in the region of laser cladding of different grades of stainless-steel alloys with different coating materials highlighting on feeding ways of cladding material, laser cladding process parameters, types of lasers employed, types of coating & composite coating materials in enhancing the surface properties of the stainless-steel substrate and their relevant applications.
Influence of Printing Parameters on Mechanical Behavior of 3D-Printed PLA Using Taguchi Based ANFIS Technique
Authors: Vinay Bongu , Kumar Raja Anne , Ganesh Dadi , Sasi Kiran A. , Chandra Mouli B.G.S. , Satyanarayana V.S.V. , Kakaravada Ismail
Published: December 2023

This paper presents the problem of determining the optimal input process parameters of a Fused Deposition Modelling 3D printer for improved mechanical strength of the 3D printed objects. Polylactic Acid material tensile test and Izod impact test specimen are printed as per the ASTM standards. Various critical input parameters infill density, infill pattern, raster angle and number of contours are analysed on the material. The tensile and impact strengths were determined by conducting 16 experiments using a Tensometer for tensile test while a pendulum impact test is used for Izod impact test. Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is used to train input and output data and optimal parameters are obtained for improved mechanical strength. The tensile strength and impact strength have been improved by 19.8% and 18.3% respectively with the optimal set of input parameters determined in the analysis.
An Effectiveness in Manufacturing Quality on Surface Roughness and Built-Up Edge in Drilling Operation towards Aircraft Component
Authors: Ibrahim Mohd Rasidi , Ahmad Aishah , Ibrahim Azrin , Samsudin Noor Azah , Mustapa Mohammad Sukri , Cheng Kai , Chong Bin Hong
Published: December 2023

Aircraft is still dominated by aluminum alloys despite the growth of composites and other lightweight materials due to their fatigue crack resistance, superior damage tolerance, and mature production methods. Assembly process of the aircraft's structures, must be involved for rivets and bolts, required a precise dimension compliance into the aviation guideline. Poor hole quality is one of the major challenges might cause cracks in the aircraft structure and reduce their reliability thus, manufacturing costs are directly affected by this rejection of parts at the assembly stage. The aim of this paper is to study on feed rate, towards surface roughness and Built Up Edges (BUE), and drilling of aluminium alloys used in aircraft component. An experimental approach was used to determine the most efficient feed rate for drilling operations. Observations were made on the BUE formation and roughness of the surface after each drill had completed up to 30 holes in order to meet the requirements of machined parts. From the experiment's findings, it was observed that the BUE formation and surface roughness both marginally changed as feed rates were varied. This experiment's most efficient feed rate was 0.15 m/min, and met the experiment's goal of determining the most efficient drilling feed rate. In conclusion, as feed rate increased, Ra (surface roughness) increased as well, while BUE decreased. While, Ra was set to a high feed rate, its value increased marginally. Drilling on aluminum alloy T6-6061 was accomplished at an efficient feed rate, resulting in improved product quality and reduced tool and workpiece damage.
Protective effects of mouthwash formulations of Syzygium polyantha (L.) and Piper betel (L.) on oral microbiota-induced gingivitis
Authors: Putri Megananda Hiranya , Nurjanah Neneng , Laela Dewi Sodja , Sukmasari Susi
Published: December 2023

Using a combination of natural ingredients as a mouthwash was expected to have a synergistic effect in preventing gingivitis, a common oral disease. The objective of this study was to elucidate the anti-inflammatory effect of different proportions of mouthwash infusions: F1 (75% Syzygium polyantha and 25% Piper betle) and F2 (25% Syzygium polyantha and 75% Piper betle) on oral microbiota causing gingivitis. Twenty-four Rattus norvegicus were divided into four groups, and bacteria were injected into the periodontal sulcus. The anti-inflammatory effect was assessed by calculating the reduced number of polymorphonuclear (PMN) leukocytes. A cytotoxicity test was carried out on the normal fibroblast cell line 3T3-L1. There were no significant differences in the decreased number of PMN leukocytes (p = 0.079 > 0.05). Both F1 and F2 showed results of cell viability approaching 100% of living cells at concentrations of 0.29 ppm and 0.04 ppm, equivalent to 0.058% and 0.029%, respectively. This study concluded that both formulations of Syzygium polyantha and Piper betle have potential effects on gingivitis prevention. They had an effectiveness level almost similar to Chlorhexidine gluconate 2%. The toxicity value of formulation F1 is superior to that of formulation F2. Further studies concerning the toxicity of the mixtures and their effect on oral biofilm are needed.
LE ORIGINI DEL DIRITTO COMPARATO E I SUOI MAESTRI. UNA QUESTIONE DI METODO
Authors: Mostacci Edmondo
Published: December 2023

Il diritto comparato come disciplina cominciò a consolidarsi alla fine del XIX secolo, essenzialmente ad opera di studiosi francesi e tedeschi. In Sulle spalle dei giganti? La questione metodologica del diritto comparato e la sua narrazione, Tommaso Amico di Meane ripercorre le tappe evolutive di questa disciplina, dal 1850 al 2000, con particolare attenzione al dibattito sul metodo e ai suoi luoghi di “incubazione”: riviste accademiche, associazioni, cattedre, e istituti di diritto comparato. Ciò che ne emerge è il ritratto di una comunità di studiosi che ha subito puntato sul metodo come mezzo per affermare la propria emancipazione dalle altre scienze giuridiche, facendone inevitabilmente anche terreno di confronto (e di scontro) tra diverse generazioni di comparatisti. La ricerca di identità metodologica è una costante del Diritto Comparato, i cui metodi sono strettamente legati al contesto storico, politico e sociale in cui prendono forma.
AL DI LÀ DEL VELO DI MAYA: I TRATTI DISTINTIVI DELLA STORIA, DELLA CIVILTÀ E DELLA NAZIONE INDIANE
Authors: Torri Michelguglielmo
Published: December 2023

Non disponibile.
l’eretico. Vita e opere del grande economista che cambiò l’Occidente
Authors: La Malfa Giorgio
Published: December 2023

Non disponibile.
Can restless legs be a sign of something else? A case report of spondyloarthritis presenting with restless legs syndrome and a review of the literature
Authors: Yılmaz E.
Published: December 2023

Restless legs syndrome (RLS) is a chronic movement disorder characterized by an urge or need to move the limbs, usually associated with uncomfortable sensations in the legs and sleep disorders. In general, two clinical forms of RLS are described: primary and secondary. Although primary RLS has a familial component, the underlying mechanism is still not fully understood but seems to be related to abnormalities in the dopaminergic and glutamatergic pathways of the central nervous system. The secondary forms of the syndrome are associated with iron deficiency, renal failure, pregnancy, diabetes mellitus, peripheral neuropathy, and several rheumatologic disorders such as rheumatoid arthritis and Sjögren’s syndrome. In a few clinical trials, an increased frequency of RLS has been reported in patients with spondyloarthritis. In this report, a case of coexistence of spondyloarthritis and RLS is presented, showing satisfactory improvement with conservative treatment and additionally adding naproxen. Anemia of chronic disease occurring in rheumatic diseases, and associated iron deficiency may contribute to the development of RLS.
Commento a ‘Sulla violenza in sanità’ di Mario Perini
Authors: Cozzaglio Paolo
Published: December 2023

L’interessante articolo di Mario Perini tocca un argomento cogente, alla luce anche dei fatti più recenti di cronaca quali l’omicidio della psichiatra pisana Barbara Capovani ad opera di un suo paziente. In realtà il fatto non è isolato e, come ho evidenziato in un recente articolo (Cozzaglio, 2023), nel 2003 aveva avuto una forte risonanza di cronaca l’omicidio di Lorenzo Bignamini, psichiatra, sempre ad opera di un suo paziente che, per inciso, era stato un collega. Al di là di questi fatti importanti e il clamore emotivo che destano nei mass media, nelle persone comuni e soprattutto nei professionisti della salute, il tema della violenza in sanità è molto più ampio e, per certi versi, trasversale alle istituzioni che se ne occupano. [...]
Dare valore all’io-noi ferito nel lavoro terapeutico con la coppia in ottica sistemica
Authors: Castelli Chiara
Published: December 2023

Leggendo l’articolo delle colleghe Claudia Zaccaria e Francesca Balestra mi sono venuti in mente alcuni temi ricorrenti nel lavoro clinico con le coppie e le famiglie. La coppia porta al suo interno la storia di due individui che provengono da una storia famigliare con stili famigliari e confini che possono essere tra loro molti diversi (l’immagine della matriosca rappresenta dal mio punto di vista questa complessità). In ambito clinico e di ricerca la complessità del sistema coppia e famiglia può essere letta e decifrata attraverso l’analisi di tre dimensioni: coesione, flessibilità e comunicazione, come esplicitato nel modello circonflesso di Olson. [...]
Adolescenti fluidi: percorsi evolutivi dell’identità di genere
Authors: Vanni Fabio
Published: December 2023

A molti di noi negli ultimi anni è accaduto di incontrare, nella pratica clinica e in contesti educativi, una popolazione di adolescenti che si distanziava fattivamente e intellettualmente dalla classica organizzazione binaria del genere che eravamo abituati a dare, noi per primi, per scontata, in compagnia naturalmente di genitori, insegnanti, educatori, amministratori, ecc. Questo incontro era stato anticipato in certo qual modo da ricercatori che avevano messo in luce la fragilità dei presupposti sul genere ma, forse perché così radicati nella nostra identità personale prima ancora che culturale, non ci eravamo preoccupati troppo di queste criticità. [...]
Empowering Employee Wellness and Building Resilience in Demanding Work Settings Through Predictive Analytics
Authors: Dikshit Srishti , Grover Yashika , Shukla Pragati , Mishra Akhil , Sahu Yash , Kumar Chandan , Gupta Muskan
Published: December 2023

In today's fast-paced and competitive corporate landscape, the well-being of employees is paramount for sustained success. This paper explores the transformative potential of predictive analytics in cultivating a healthier, more resilient workforce within high-pressure work environments. The title "Empowering Employee Wellness and Building Resilience in Demanding Work Settings Through Predictive Analytics" encapsulates our objective of harnessing data-driven insights to mitigate the negative effects of high-pressure work settings and foster an environment where employees thrive. Through an in-depth examination of predictive analytics tools and methodologies, this study offers a roadmap for organizations to proactively identify stressors, predict burnout risks, and implement targeted interventions. By collecting and analysing relevant data, employers can tailor support systems, optimize workloads, and implement mindfulness programs that enhance employee well-being. Moreover, organizations can better adapt to change, maintain workforce continuity, and drive productivity by fostering resilience through predictive insights. This research bridges the gap between data science and human resources, offering a holistic approach to employee wellness and resilience-building. By leveraging predictive analytics, companies can create a culture of care where employees feel supported, empowered, and more capable of surviving and thriving in high-pressure work environments.
Computational Investigation of a Flexible Airframe Taxiing Over an
Uneven Runway for Aircraft Vibration Testing
Authors: Al-bess Lohay , Khouli Fidel
Published: December 2023

Ground vibration testing (GVT) is an important phase of the development, or the
structural modification of an aircraft program. The modes of vibration and their
associated parameters extracted from the GVT are used to modify the structural
model of the aircraft to make more reliable dynamics predictions to satisfy
certification authorities. Due to the high cost and the extensive preparations
for such tests, a new method of vibration testing called taxi vibration testing
(TVT) rooted in operational modal analysis (OMA) was recently proposed and
investigated by the German Institute for Aerospace Research (DLR) as alternative
to conventional GVT. In this investigation, a computational framework based on
fully coupled flexible multibody dynamics for TVT is presented to further
investigate the applicability of the TVT to flexible airframes. The time domain
decomposition (TDD) method for OMA was used to postprocess the response of the
airframe during a TVT. The framework was then used to examine the impact of the
taxiing speed, shock absorber damping coefficient, and bump geometry on the
outcome of the computational TVT. It was found that higher taxiing speed does
not necessarily mean a better quality TVT, and one must find the optimal speed
using the computational framework presented herein. A higher shock absorber
damping coefficient was found to increase the amplitude of the response during
the TVT without significantly impacting the extracted modes and their
frequencies. Also, the quality of the TVT was found to be inversely proportional
to the curvature of the bump cross section. The proposed TVT computational
framework is validated against the normal modal analysis technique and certain
experimental data.
Clutch Housing Temperature Prediction during Repeat Restart Test
Using Machine Learning
Authors: Kulkarni Prasad Ramesh , Sahu Dilip
Published: December 2023

Product validation time reduction and limit number of physical testing is major
challenge all over the world OEMs are facing and they are trying to use latest
technologies to fill gap between design parameters, simulated results, and
physical validation results. Automotive industry is going through a major
transformation with use of artificial intelligence and machine learning and
especially in the area of transmission system design and development where lot
of data is available from physical testing. Clutch is still being used in
internal combustion engines vehicles. Clutch is an important part in
transmission system in vehicle, which transmits power generated from engine to
transmission and changes the gears at different speed. Design and validation of
clutch is a critical and laborious task. Clutch failure occurs due to excessive
rise in temperature. The motivation behind this work is to reduce clutch design
and selection cycle time and iteration, since physical testing and CAE iteration
are a time consuming and costly process for any automotive OEMs. Physical
testing requires manpower and test setup. If clutch design engineer knows
temperature inside clutch housing before design finalization then corrective
actions can be taken to avoid failures during field trials by providing early
feedback from results predicted by machine learning model. This paper focuses on
prediction of clutch housing temperature during physical validation of a clutch
using machine learning. Historical data of different vehicles is used for
development of machine learning model. The current study focuses on the machine
learning approach for prediction of clutch housing temperature. The machine
learning methodology and results correlation between machine learning predicted
results and physical test results for different types of commercial vehicles.
The developed solution using machine learning helps clutch design engineer in
selection of critical clutch parameters so that clutch design can be improved at
early vehicle design stage.
Clinical and Electrophysiological Evaluation of Neonatal Seizures
Authors: Aykanat Mustafa Alper , Akça Ünal , Akça Gülfer , Seren Hasibe Canan , Özyürek Hamit
Published: December 2023

Neonatal seizures are the most prevalent and distinctive sign of neurologic dysfunction in early-life. In spite the recent advances in medical care and technology in newborn intensive care units (NICU), it remains an important clinical issue of diagnosis, treatment, and prognosis. This was a retrospective, observational cohort study of neonates with seizures treated in the Ondokuz Mayıs University Faculty of Medicine NICU. Demographics of the babies, risk factors and etiology of seizure, type of clinical seizure, electroencephalographic and radiological findings, and anti-seizure treatments were recorded. The incidence of neonatal seizures was 4.5% in NICU admissions. Seventy-two babies with seizures included, 69,4% were diagnosed with electroclinical seizures. The most common seizure types were clonic (35.8%) and motor automatisms (32.8%). Perinatal asphyxia/hypoxic ischemic encephalopathy (HIE) (29.2%) was the most common etiological factor, whereas hypoglycemia was the most common metabolic problem (15.3%). Eighty-one percent of seizures due to HIE were observed in the first 48 h. Hyperbilirubinemia (kern icterus), hypocalcemia, and idiopathic neonatal convulsions were observed after the first 48 h. Abnormal findings were detected in 76.4% of electroencephalographies obtained during the neonatal period. Phenobarbital was the first-line therapy in 98.6% of babies, and 83.3% of the infants were seizure-free with phenobarbital. Seizures are common in the neonatal period and may be associated with significant brain damage. Seizures appear as an important symptom of the underlying pathology and not as a disease.
Ekspansja sztucznej inteligencji a problem wartości
Authors: Mudyń Krzysztof
Published: December 2023

The expansion of artificial intelligence and the problem of values

The author analyzes relation between the expansion of artificial intelligence (AI) and the issue of values. In particular, he points out the difficulties associated with “agreeing on values” in an algorithm vs during a human interaction. The article highlights the obstacles of taking human values into account while designing complex algorithms, which result from the fact that the preferred values are inconsistent, contextual and therefore variable. The values depend on cultural conditions and individual differences as well. In addition, the sentimental values are also difficult to predict and take into account. All this makes it almost impossible to unambiguously define the values to be respected by the algorithm. Currently, an attempt is being made to include “emotional computing” into a design of artificial systems, which, according to many researchers, may turn out to be a breakthrough in the development of AI. There are already advanced attempts being made to model one of the aspects of emotional intelligence, which is to recognise other people’s emotional states based on the analysis of their facial expressions. According to the author, developments in the field of artificial emotional intelligence should rather worry than satisfy the users of the internet. They will contribute to greater control exercised by the institutions that use them, and consequently to further limitation of personal freedom of the individual users. The author suggests that the expansion of digital technology (contrary to the initial hopes) contributes to increased centralization of power and socio-economic inequalities. In the words of Norbert Wiener (1950), the development of digital technology contributes to “the human use of human beings”.
Skutki prawne wyrażonego za życia sprzeciwu pacjenta lub sporu osób bliskich w przedmiocie ujawnienia tajemnicy zawodowej lekarza i fizjoterapeuty po śmierci pacjenta
Authors: Sułkowski Michał , Bargiel Katarzyna
Published: December 2023

Legal consequences of the patient’s objection expressed during his lifetime or close relatives disputing the disclosure of professional confidentiality of a doctor and physiotherapist after the patient’s death The professional secrecy of a doctor and a physiotherapist is a guaranteed confidentiality in the relationship with the patient. After the patient’s death, professional secrecy is a proof of respect for their privacy. Professional secrecy is regulated by the Act on Patient Rights as well as legal acts regarding the relevant medical professions, and supervised by the Patient’s Rights Ombudsman. After the patient’s death, close relatives become the holders of his medical information. A relative has the right to release a healthcare worker from the professional secrecy and define the exact scope of its disclosure. A dispute occurs when close relatives disagree or their opinion differs from that of the patient. In such a case, disputes are resolved by a civil court.
O privire asupra maghiarismelor din graiul ardelean al românei băieșilor din Croația
Authors: Radosavljević Petar , Katalinić Kristina , Fištrović Tena
Published: December 2023

An Overview of the Hungarianisms in the Transylvanian Dialect of Boyash Romanian in Croatia

The aim of this paper is to research, based on our own linguistic material, as well as accessible publications, the influence of the Hungarian language on the Transylvanian dialect of Boyash Romanian in Croatia or, more precisely, to identify Hungarianisms that appear in the lexicon. In this regard, it is necessary to distinguish between at least two main categories of Hungarianisms – those that are present also in the Romanian language from Romania and those that are specific only to the Transylvanian dialect of Boyash Romanian spoken in Croatia.
The syntactic side of autonomous categories enriched over generalised metric spaces
Authors: Dahlqvist Fredrik , Neves Renato
Published: December 2023

Programs with a continuous state space or that interact with physical
processes often require notions of equivalence going beyond the standard binary
setting in which equivalence either holds or does not hold. In this paper we
explore the idea of equivalence taking values in a quantale V, which covers the
cases of (in)equations and (ultra)metric equations among others. Our main
result is the introduction of a V-equational deductive system for linear
{\lambda}-calculus together with a proof that it is sound and complete. In fact
we go further than this, by showing that linear {\lambda}-theories based on
this V-equational system form a category that is equivalent to a category of
autonomous categories enriched over 'generalised metric spaces'. If we
instantiate this result to inequations, we get an equivalence with autonomous
categories enriched over partial orders. In the case of (ultra)metric
equations, we get an equivalence with autonomous categories enriched over
(ultra)metric spaces. We additionally show that this syntax-semantics
correspondence extends to the affine setting. We use our results to develop
examples of inequational and metric equational systems for higher-order
programming in the setting of real-time, probabilistic, and quantum computing.
Early Discharge Planning to Improve Throughput
Authors:   , Chhith Alan
Published: December 2023

Early discharge planning can improve the safety and outcomes of hospitalized patients. The aim of the multidisciplinary team early discharge rounds was to manage patient flow by removing discharge barriers to reduce the length of stay in the medical/surgical unit. The overall goal of the process improvement project was to make inpatient beds available to admit patients from the emergency department, reducing long ED boarding, and decrease the hours of diversion. The PICOT question for this project was: in the Veteran population (P) in the VA medical/surgical unit, early discharge planning with an interdisciplinary team (I) compared to regular discharge rounds alone (C) will improve patient flow and will result in decreased emergency room medical diversion or prolonged ED boarding (O) within 10 weeks (T). The early discharge planning had a significant impact on the medical/surgical unit in helping to decrease the ED medical diversion. Although the mean length of stay from 2022 to 2023 was not significantly changed, the early discharge intervention for the 10-week period on the medical/surgical unit concurred simultaneously with a decreased in diversion hours in the emergency department by 72 hours from the 2022 to 2023 time frames.
Reducing the No Show Rates for Mental Health Appointments among Young Adults
Authors:   , Carrico Johnnie
Published: December 2023

Practice Problem: Missed patient appointments have become an increasingly significant issue for healthcare organizations, private practices, and clinics. No show appointments can negatively impact the operational functions of these organizations including lost revenue. The clinical practice site’s pre-intervention no-show rate for young adult mental health appointments was 21%. The high percentage of missed mental health visits has resulted in both lost revenue for the clinic and disruptions in patient care. PICOT: The PICOT question that guided this project was: In young adults 18-25 years with mental health appointments (P) how does patient preferred appointment reminders (I) compared to standard appointment reminders (C ) affect no show rates (O) within 8 weeks (T)? Evidence: Current evidence demonstrates that patient appointment reminders improve the overall adherence rates of patient appointments thus providing support for the utilization of patient preferred appointment reminders for young adult mental health appointments to mitigate the high rate of no shows. Intervention: The proposed practice change of preferred patient reminders was implemented in response to the high number of no-show rates of mental health appointments in the student and employee clinic. The intervention focused on changing the clinic’s standard practice of phone call reminders two days prior to appointments with the evidence-based intervention of patient preferred appointment reminders. Patient preferred reminders included telephone and/or email reminders based on patients’ preference one week before and the day before scheduled appointments. Questionnaires were provided to ascertain patients’ preferences, thereby allowing patient involvement in the process. Comparison: The intervention was compared against the facility’s current practice standard of providing reminder cards with appointment dates and times and phone call reminders two days before appointments. Outcome: The anticipated outcome was a reduction in missed appointments. As a result of the evidence-based intervention of preferred patient reminders, the number of missed appointments was reduced to 15%, two percent greater than predicted. Time: The project was completed within the predicted 8-week timeframe Conclusion: Evidence supports the use of patient preferred appointment reminders in reducing the number of no-show appointments. The patient preferred appointment reminders utilized by the registration and nursing staff throughout the practice change project resulted in a significant reduction in no-show rates of mental health patients in the student and employee clinic.
IMPLEMENTATION TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN THE UKRAINIAN EDUCATIONAL PROCESS
Authors: Kotenko Serhii , Kasianova Valeriia
Published: December 2023

The war changed the conditions for the introduction of information and communication technologies in the Ukrainian educational process. Thus, the relocation of a significant part of the population, the unwillingness of the administration of educational institutions to take responsibility in the event of harm to the health of students or, even, their loss of life, in the event of missile and bomb attacks on educational institutions, and other factors led to a significant spread of remote teaching. This is a consequence of the introduction of interactive teaching methods, the use of digital educational materials, the use of a wider range of psychological and emotional tools for gaining students' attention to the educational process, visual and sound effects, etc.