bluuebunny/crossref_metadata_2025 huggingface dataset:
Fast and Accurate: Efficient Full-Domain Functional Bootstrap and Digit Decomposition for Homomorphic Computation
Authors: Ma Shihe , Huang Tairong , Wang Anyu , Zhou Qixian , Wang Xiaoyun
Published: December 2023

The functional bootstrap in FHEW/TFHE allows for fast table lookups on ciphertexts and is a powerful tool for privacy-preserving computations. However, the functional bootstrap suffers from two limitations: the negacyclic constraint of the lookup table (LUT) and the limited ability to evaluate large-precision LUTs. To overcome the first limitation, several full-domain functional bootstraps (FDFB) have been developed, enabling the evaluation of arbitrary LUTs. Meanwhile, algorithms based on homomorphic digit decomposition have been proposed to address the second limitation. Although these algorithms provide effective solutions, they are yet to be optimized. This paper presents four new FDFB algorithms and two new homomorphic decomposition algorithms that improve the state-of-the-art. Our FDFB algorithms reduce the output noise, thus allowing for more efficient and compact parameter selection. Across all parameter settings, our algorithms reduce the runtime by up to 39.2%. Our homomorphic decomposition algorithms also run at 2.0x and 1.5x the speed of prior algorithms. We have implemented and benchmarked all previous FDFB and homomorphic decomposition algorithms and our methods in OpenFHE.
Pengaruh Hutang Daerah pada Belanja Modal dan Belanja Operasional di Kabupaten Banggai Laut Tahun 2019-2021
Authors: Hamid Muhammad Ali
Published: December 2023

Hutang daerah merupakan salah satu sumber pembiayaan pembangunan daerah. Namun, hutang daerah yang berlebihan dapat berdampak negatif terhadap belanja daerah, baik belanja operasional maupun belanja modal. Penelitian ini bertujuan untuk menganalisis pengaruh hutang daerah terhadap belanja operasional dan belanja modal di Kabupaten Banggai Laut.
Pengaruh Komunikasi, Employee Engagement, dan Karakteristik Individu Terhadap Kinerja Karyawan pada Swalayan Virgin Purwoharjo Banyuwangi
Authors: Mahfudz Ifatush Zafania , Winahyu Pawestri , Rahayu Jekti
Published: December 2023

Perusahaan dapat dikatakan berhasil apabila kinerja sumber daya manusia berhasil meningkatkan kinerja karyawan untuk mencapai tujuan perusahaan yang telah ditetapkan. Banyak faktor yang memengaruhi kinerja karyawan di antaranya adalah komunikasi, Employee engagement, dan karakteristik individu. Oleh karena itu, diperlukan kajian yang mendalam terkait kinerja karyawan pada Swalayan Virgin Purwoharjo Banyuwangi. Penelitian ini bertujuan untuk mengetahui: (1) Pengaruh komunikasi terhadap kinerja karyawan pada Swalayan Virgin Purwoharjo Banyuwangi. (2) Pengaruh Employee Engagement terhadap kinerja karyawan pada Swalayan Virgin Purwoharjo Banyuwangi. (3) Pengaruh Karakteristik Individu terhadap kinerja karyawan pada Swalayan Virgin Purwoharjo Banyuwangi. Sampel dalam penelitian ini sejumlah 35 responden, dengan teknik pengambilan sampel menggunakan sampling jenuh. Metode penelitian ini adalah analisis regresi linear berganda. Hasil penelitian ini adalah komunikasi berpengaruh positif dan signifikan terhadap kinerja pegawai dengan koefisien regresi sebesar 0.338. Dengan tingkat signifikansi =0.05, diperoleh nilai t sebesar 2.775 dan signifikansi sebesar 0.009 (p-value<0.05), karena nilai signifikansi lebih kecil dari 0.05, maka H0 ditolak dan Ha diterima. Dapat disimpulkan bahwa variabel komunikasi berpengaruh secara signifikan terhadap kinerja karyawan. Employee engagement berpengaruh positif dan signifikan terhadap kinerja karyawan dengan koefisien regresi sebesar 0.513. Dengan tingkat signifikansi =0.05, diperoleh nilai t sebesar 2.800 dan signifikansi sebesar 0.009 (p-value<0.05), karena nilai signifikansi lebih kecil dari 0.05, maka H0 ditolak dan Ha diterima. Dapat disimpulkan bahwa variabel Employee engagement berpengaruh secara signifikan terhadap kinerja karyawan. Karakteristik individu berpengaruh positif dan signifikan terhadap kinerja karyawan dengan koefisien regresi sebesar 0.521. Dengan tingkat signifikansi =0.05, diperoleh nilai t sebesar 2.142 dan signifikansi sebesar 0.040 (p-value<0.05), karena nilai signifikansi lebih kecil dari 0.05, maka H0 ditolak dan Ha diterima. Dapat disimpulkan bahwa variabel karakteristik individu berpengaruh secara signifikan terhadap kinerja karyawan. Maka dari itu, artinya komunikasi, Employee engagement, dan karakteristik individu berpengaruh positif dan signifikan terhadap kinerja karyawan pada Swalayan Virgin Purwoharjo Banyuwangi.
Associations between the Perceived Importance of Physical Education and Group Cohesion in Sec-ondary School Students
Authors: Rojo-Ramos Jorge , Polo-Campos Irene , Gomez-Paniagua Santiago , Galán-Arroyo Carmen
Published: December 2023

Physical Education (PE) is seen as knowledge in practice, that is, knowledge acquired through active participation in social practices. The aim of this study is to know the association between the importance of Physical Education and group cohesion in Secondary Education students, analyzing the possible differences according to the gender. 310 students from Extremadura answered three sociodemographic questions, in addition to two other instruments: the Importance of Physical Education scale, consisting of 3 questions, and the Group Cohesion Evaluation Questionnaire, consisting of 9 questions. The Kolmogorov-Smirnov test was used to determine the assumption of normality. Finally, nonparametric tests were chosen because this assumption was not met. In this sense, the Mann-Whitney U test was used to examine gender and Spearman's Rho test was used to analyze the association between each of the instruments and gender. Reliability was assessed using Cronbach's alpha. Some statistical differences were observed between men and women. In addition, these differences may be due to the motivation that students have in the realization of sports practice, therefore, it would be interesting to develop future lines of research.
Keywords: Physical Education; importance of Physical Education, group cohesion, secondary education; gender; motivation.
MENELISIK MAKNA SYAJARAH DALAM AL-QUR’AN
Authors: Sihombing Muhammad Ebin Rajab
Published: December 2023

The ongoing discourse regarding the interpretation of "syajarah" in the Qur'an lacks a consensus. This is evident in the diverse array of perspectives and explanations surrounding its meaning. Consequently, the author delves deeper into an examination of the semantic analysis of "syajarah" using Toshihiko Izutsu's approach. The selection of this methodology is rooted in Izutsu's semantic framework, which provides a platform for exploring the nuanced meanings of a word. A pivotal aspect of this investigation is to scrutinize the semantic dimensions of "syajarah." The author employs a qualitative methodology, specifically a literature study, to navigate this exploration. The data utilized encompasses information gleaned from various sources, including books, journal articles, and electronic documents, bolstering the research process. This inquiry reveals that the fundamental meaning of "syajarah" is 'tree.' The syntagmatic relational meanings include associations with Allah, Naha, Syaitan, Zalim, and Masalan. In terms of paradigmatic meaning, the words Nabat and Zuru' come into play. While the synchronic and diachronic meanings of "syajarah" have experienced temporal shifts, the core meaning has remained relatively stable. Furthermore, diverse interpretations generally align with the basic meaning of "syajarah," with the exception of Quraish Shihab, who suggests a figurative understanding in the context of the Prophet Adam's story. Notably, when coupled with the word "taqrabu," the figurative interpretation of "syajarah" emerges, implying actions that may lead to social harm.
The Promise of the Fourth Industrial Revolution: Unleashing the Potential of Virtual Reality in the Teaching of History Curriculum
Authors: Chimbunde Pfuurai , Moreeng Boitumelo Benjamin
Published: December 2023

The growing economic viablity of virtual reality  has made it possible for educational institutions to use the technology in their teaching. The growth of mobile networks and the spread of digital gadgets, which are more widely available to teachers and students, support this. Notwithstanding the known critical role of virtual reality in the teaching of engineering and medical education, its use and application in history curriculum stays unchartered terroitory. This paper interrogates the affordances of virtual reality in education with a slant towards its use in History teaching. Understanding how the adoption of the fourth industrial revolution and the affordances of virtual reality in education could unlock new avenues in the teaching of history curriculum. Thus by exploring the potentialities of virtual reality in the teaching of history, the paper hopes to lay a foundation on which social science researchers can further explore how the affordances of virtual reality  improve the teaching fraternity especially so in developing countries. The paper advances the arguement that virtual reality is not only useful in engineering and medical education but also to social sciences in general and history in particular. This study provides insights about this underexplored territory through assessing the functional implications of virtual reality in the teaching of history curriculum.
Morfometría del complejo nuclear coclear
Authors: Laboratorio de Neuroanatomía Microquirúrgica
Published: December 2023

Introducción: El complejo nuclear coclear (CNC) es la parte más caudal del sistema auditivo central y es una estación obligatoria de relevo en la transmisión de impulsos nerviosos hacia la corteza auditiva. Su lesión implica sordera ipsilateral y a veces tinnitus. Adquiere cada vez mayor interés debido a su importancia en la colocación de implantes auditivos en el tronco encefálico, sobre todo en pacientes con neurofibromatosis tipo 2 que poseen schwannomas bilaterales. Debido a esto, conocer la anatomía de dicha estructura es de importancia capital. El objetivo del presente trabajo es estudiar la anatomía del CNC mediante la disección cadavérica y su comparación con la bibliografía existente.Material y métodos: Se analizaron diez troncos del encéfalo (20 CNC) humanos en este estudio los cuales se fijaron con solución acuosa de formaldehído diluida al 10% durante 30 días. Se efectuó una búsqueda bibliográfica electrónica en la base de datos PUBMED.Resultados: Se obtuvieron resultados con respecto al área y las longitudes vertical y horizontal del CNC.Conclusiones: Se encontraron diferencias con respecto a las dimensiones vertical y horizontal del CNC y la bibliografía analizada. Se obtuvieron datos inéditos con respecto al área del CNC expuesta a nivel del cuarto ventrículo. Todos los datos recabados podrían ser tenidos en cuenta para futuras investigaciones del CNC, la realización de neurocirugías que involucren la colocación de un implante troncoencefálico y también para el diseño de nuevos implantes troncoencefálicos más acordes a la anatomía de este importante núcleo.
Inculcation of Professionalism in House Officers Through Mentoring by Senior Residents; A Pilot Project in Obstetrics & Gynecology
Authors: Iram Sarwar
Published: December 2023

Objectives: To evaluate the effectiveness of mentoring of house officers on their transition towards their professional life, preparation for the workplace, and improving their learning through standardized training and assessment during their rotation in Obstetrics & Gynecology.

Methodology: The project mixed method study was implemented in Gynae C Unit of Ayub Teaching Hospital, Abbottabad from 1st May 2022 to 31st May 2022. A mentorship program was initiated as a one-month pilot project to train house officers of Obstetrics & Gynecology and inculcate professional values and practices relevant to the discipline. Thereafter, a mixed method study was conducted to evaluate the program having qualitative semi structured interviews from mentors and mentees as well as quantitative formative assessment.

Results: House officers appreciated the program for acquiring knowledge and overcoming difficulties at work, as well as relieving stress and anxiety and suggested formal training of mentors. Mentors said that the program helped to develop their leadership and communication skills.

Conclusion: Mentoring had a positive effect on house officers learning and overall satisfaction despite some challenges and limitations.
Forecasting husbandry development using time series
Authors: Kulyk Anatolii , Fokina-Mezentseva Kateryna , Piankova Oksana , Sierova Liudmyla , Slokva Maryna
Published: December 2023

Building time series models based on historical data is a pressing challenge in the agricultural sector. This is essential, as analysing and predicting processes related to the food security of the state, region, and business entities are of paramount importance in management. With the help of forecasts, enterprises can adjust their production activities in such a way as to satisfy demand and deliver products to consumers on time. The research aims to predict the trends in the growth of cattle and cow populations and identify the most suitable forecasting timeframe. Statistical methods related to autoregression are used for this type of analysis: autoregressive models, moving average models or a combination of both, integrated variable structure models, and models that include seasonal effects and exogenous factors with an autoregressive and moving average component in the model. Monthly statistical data on the number of cattle and cows are used, among them mean, standard deviation, minimum and maximum values, asymmetry, and kurtosis. The dynamics of the decrease in the number of cattle and cows are shown. The studied series were checked for stationarity. The time series data for the cattle population underwent a Box-Cox transformation. The optimal parameters of the models used are given. Predictive values for periods (months) were obtained and the change in the number of cattle over the last 15 years was analysed. Constructed time series are compared with the actual values, which are illustrated in the graphs. Estimates of rootmean-square deviation, and mean absolute percentage error for different forecasting terms are given. By comparing these estimates for different time intervals, the optimal period for the forecast (24 months) was determined. This study allows farms and enterprises in the industry to predict a possible number of products (milk, meat) that could be collected or obtained in the future. It helps to take the necessary management steps: plan resource needs, improve efficiency, increase profits, reduce costs, and adapt to changes in the market
Prediction of Concrete's Compressive Strength via Artificial Neural Network Trained on Synthetic Data
Authors: Alghamdi Saleh J.
Published: December 2023

Predicting concrete compressive strength using machine learning techniques has attracted the focus of many studies in recent years. Typically, given concrete mix ingredients, a machine learning model is trained on experimental data to predict properties of hardened concrete, such as compressive strength at 28 days. This study used computer-generated mix design data that contained mixed ingredients along with the corresponding theoretical strength of each mix to train a neural network and then test them on real-world experimental data. The developed model was able to predict the compressive strength of concrete specimens at 28 days with an R-value of 0.80. Furthermore, increasing the synthetic dataset increased the performance of the model to a point beyond which it started to decrease. The proposed sustainability-promoting method emphasizes the effectiveness of using synthetic data to train machine learning models that yield insightful predictions with acceptable accuracy.
A Novel Solution Method for the Distribution Network Reconfiguration Problem based on an Objective Function and considering the Cost of Electricity Transmission
Authors: Linh Nguyen Tung , Long Pham Vu
Published: December 2023

The problem of distribution reconfiguration is an important issue in the optimal operation of distribution networks. Nowadays, with the diverse development of renewable energy sources, the uncertainty of the load becomes more complex, and the need for competitive retail electricity markets is more evident. This paper presents an optimal solution to this problem, utilizing the global advantage of the simulated annealing algorithm, improving the time parameter, and combining it with the rapid mutation ability of the genetic algorithm. Simultaneously, the Zbus, EBE, and PS models were integrated to optimize the costs, considering transmission costs under constraints related to taxes and economic indicators when connected to the distribution grid. The proposed method was simulated and tested on the IEEE 33-node standard power grid with three different scenarios. The simulation results showed that the proposed method provides optimal results, which can be applied to calculate the optimal operation of the distribution grid when participating in retail electricity markets.
Effects of tourism and economic growth on sustainable electricity consumption: Fresh evidence from Türkiye
Authors: DEMİRTAŞ Cuma
Published: December 2023

This study investigated the impact of tourism and economic growth on electricity consumption in the Turkish economy, which operates under an open system, throughout the time span from 1995 to 2022. The analysis employed the ARDL bounds test method and the wavelet-based Fourier causality test. The empirical evidence demonstrates the presence of a long-term cointegration relationship among economic growth, tourist arrivals, and consumption of electricity. The research findings indicate a positive relationship between economic growth, tourist arrivals, and power consumption. To enhance the robustness of the findings, the series underwent wavelet processing, followed by the application of Fourier causality analysis to these transformed series. Wavelet-based causality analysis reveals that trade openness exerts a significant influence on not only electricity consumption but also on tourism and economic growth. The results additionally indicate that shocks exhibit persistence across all components.
Substitution effect of tourism destinations in Türkiye: Case study of Iranian tourists
Authors: BARATİ Javad
Published: December 2023

This study investigates the substitution effect between the destinations of Iranian tourists who travel to Turkey, distinguishing between Istanbul and other touristic cities. For this purpose, it uses the Dynamic Linear Regression model in the class of time-varying parameters described in a State Space framework. The data are monthly 2018-1 to 2023-2 the results show that there is a dynamic relationship between the “number of incoming Iranian tourists to Istanbul” and “the number of incoming Iranian tourists to other destinations”. It seems that the opening of Istanbul's new airport and the diversification of flights to Turkish destinations have an important factor in the dynamics of the parameter. There is a substitution effect between Istanbul and other touristic destinations. Also, inflation (both Iran and Turkey) affects Iranians' travel behavior to Turkey due to two features: One is due to the decrease in the purchasing power of Iranians and the second is due to the change in the national currency of the two countries.
Effect of Citrus limon (lemon) Peels and Seeds on Bacteria Isolated From Nose
Authors: P.O Adomi , O.L Oyubu
Published: December 2023

Citrus peels are the main waste from citrus processing companies. Waste from citrus processing accounts for more than 50% of the total fruit weight. This huge waste must be converted into useful and economical products. Study investigated the antibacterial effects of Citrus limon peels(rind) and seeds against bacteria isolated from the noses of students at a higher education institution. Bacteria isolated from nasal swabs were identified by culture and biochemical tests. Sensitivity testing was performed using diffusion in agar wells. Phytochemical tests of lemon peel and seeds were performed by standard methods. Thirty-two bacteria were isolated and identified from the students' nasal samples. Staphylococcus epidermidis was the most prevalent organism. The methanolic lemon peel extract was the most active against the isolated bacteria, with minimum inhibitory concentrations of 6.25 mg/ml and 12.5 mg/ml against S. epidermidis and Pseudomonas aeruginosa, respectively. The qualitative phytochemical tests results of the peels and seeds included alkaloids, flavonoids, tannins, saponins, cardiac glycosides and steroids. Lemon peel extract was active against bacteria isolated from the nose.
French version of the Inventory of Personality Organization (IPO-fr): psychometric properties in young adults
Authors: Pithon Lucas , Rexand-Galais Franck
Published: December 2023

Background

The Inventory of Personality Organization (IPO) is a self-assessment instrument designed to measure the level of personality organization. In the present study, we developed and validated a French version (IPO-fr) of this instrument in a population of young adults. Its validity was established on the basis of two studies examining (1) its internal structure, and (2) its convergent validity with the Personality Diagnostic Questionnaire-4+, the Positive and Negative Affect Schedule (PANAS), the Hospital Anxiety and Depression Scale (HADS), and the Aggression Questionnaire (AQ).

Participants and procedure

In the first study, we assessed the reliability of the internal structure of the French form of the IPO (IPO-fr) in a nonclinical population. Our sample comprised 602 first- and second-year psychology students, with a mean age of 19.40 years (SD = 1.95). The second study assessed the convergent validity of the questionnaire in nonclinical samples, with regard to the three clusters (A, B, and C) of personality disorders, positive and negative affect, and aggression and depressive symptoms. The sample for this second study consisted of 305 first-, second- and third-year psychology students, with a mean age of 19.83 years (SD = 2.12).

Results

The French version of the IPO is shorter than the English: 40 items instead of 57. Its internal clarity and its discriminative capacity make it easier to interpret.

Conclusions

This study has established the relevance of the IPO-fr as a reliable and brief instrument for assessing individual personality. It could make a major contribution to the screening of personality pathology in the French population and to the assessment of treatment programs.
Safety, feasibility, and effectiveness of a CT-guided transthoracic lung and pleural biopsy – a single-centre experience with own low-dose protocol
Authors: Guzinski Maciej , Puła Michał , Zdanowicz Agata , Kacała Arkadiusz , Dudek Krzysztof , Lipiński Artur , Sąsiadek Marek
Published: December 2023

Purpose

To assess the efficacy and safety of a low-dose, computed tomography (CT)-guided transthoracic biopsy of lung and pleural lesions.

Material and methods

A total of 135 low-dose, CT-guided transthoracic lung and pleural lesions biopsies were performed. A cutting needle was utilized in 124 cases, and fine needle aspiration biopsy was performed in 14 cases. In all cases, 14- to 22-gauge biopsy needles were used.

Results

Diagnostic material was obtained in 111 (82.2%) patients. In 97 (71.8%) cases neoplastic lesions were found, predominantly adenocarcinoma and non-small cell carcinoma. In 14 (12.6%) cases non atypical cells were reported. Biopsy failed to obtain material suitable for histopathological examination in 24 (17.7%) cases. Complications occurred in 31 patients, including pneumothorax in 28 patients and haematoma in 3 cases.

Conclusions

Based on the obtained results, it can be stated that low-dose, CT-guided transthoracic biopsy of lung and pleural tissues is an accurate and safe procedure. Also, it is linked to a low risk of complications such as a small pneumothorax.
A new approach for the bigeometric newton method
Authors: YALÇIN Numan , CELIK Ercan
Published: December 2023

In this study, quadratic convergent new bigeometric Newton's method (nBGNM) was developed. For this, the basic definitions and theorems of bigeometric analysis, which is one of the non-Newtonian analysis, were used. Using the bigeometric Taylor expansion, a convergence analysis of this new method was given. Also, the new bigeometric Newton method (nBGNM) was compared in detail with the geometric (multiplicative) Newton method (GNM) and the classical Newton method (NM).
A study on the admissibility of fractional singular systems with variable and constant delays
Authors: YİĞİT Abdullah
Published: December 2023

This paper deals with fractional singular systems with mixed delays and several admissibility criteria are obtained by using Lyapunov-Krasovskii functionals, model transformation, useful lemmas, zero equations and other well-known inequalities. Finally, some numerical examples are given with graps to verify and justify the admissibility of practical systems by using our proposed methods.
İstanbul Beyoğlu’nda II. Meşrutiyet dergilerinden pasaj yapılarına kadın imgesinde batılılaşma etkisi
Authors: DOKUZPARMAK Zehra Gül , KILIÇASLAN Hare
Published: December 2023

Osmanlı’nın modernlik gayesi altında toplumsal eğitimdeki görsel kullanımı, zaman içerisinde tüketim kültürünü de etkileyerek, gözlenebilen mimari değişimlere yol açmıştır. Bunun en iyi örneklerinden biri Osmanlı’nın 19. yüzyılda tanışıp hakimiyetinin son yılına kadar benimsediği batılı yapı türlerinden pasaj yapılarıdır. Basılı yayınlarla başlatılmaya çalışılan tüketim ve sosyal hayatta kadının rollerine dair değişim furyası, Beyoğlu Bölgesi gibi daha radikal semtlerde batılı tarzdaki mimari yapıların da benimsenme sürecini etkilemiştir. Bu çalışma kapsamında, kadın başlığı altında gizlenen Osmanlı’nın modernlik beklentilerinin dergi görselleri üzerinden incelenmesinin ardından, bu beklentilerin toplum tarafından ne düzeyde kabul gördüğü, pasaj yapılarının yıllar içinde barındırdığı özellikler açısından anlaşılmaya çalışılmıştır. Bu bağlamda Şark Aynalı Pasajı, Hacopula Pasajı, Tünel Pasajı, Afrika Pasajı ve Elhamra Pasajı yapıları değerlendirmeye alınmıştır. 19. yüzyılın batı hayranlığıyla birlikte değişmeye başlayan Osmanlı’nın geleneksel çarşıları, 20. yüzyılın başlarında tüketim dönüşümünün, Avrupalı ürünlerin ve markaların yaygınlaşmasıyla hız kazanmıştır. Pasaj yapılarındaki mağazaların kadınlara hitap edebilecek şekilde çeşitlendirilmiş olması, II. Meşrutiyet Dönemi’nde sosyal hayatta ve tüketimde kadına dair toplumsal zihniyete yapılan yatırımları kanıtlar niteliktedir.
Evaluation of four ground-based retrievals of cloud droplet number concentration in marine stratocumulus with aircraft in situ measurements
Authors: Zhang Damao , Vogelmann Andrew M. , Yang Fan , Luke Edward , Kollias Pavlos , Wang Zhien , Wu Peng , Gustafson Jr. William I. , Mei Fan , Glienke Susanne , Tomlinson Jason , Desai Neel
Published: December 2023

Abstract. Cloud droplet number concentration (Nd) is crucial for understanding aerosol–cloud interactions (ACI) and associated radiative effects. We present evaluations of four ground-based Nd retrievals based on comprehensive datasets from the Atmospheric Radiation Measurement (ARM) Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) field campaign. The Nd retrieval methods use ARM ENA observatory ground-based remote sensing observations from a micropulse lidar, Raman lidar, cloud radar, and the ARM NDROP (Droplet Number Concentration) value-added product (VAP), all of which also retrieve cloud effective radius (re). The retrievals are compared against aircraft measurements from the fast cloud droplet probe (FCDP) and the cloud and aerosol spectrometer (CAS) obtained from low-level marine boundary layer clouds on 12 flight days during summer and winter seasons. Additionally, the in situ measurements are used to validate the assumptions and characterizations used in the retrieval algorithms. Statistical comparisons of the probability distribution function (PDF) of the Nd and cloud re retrievals with aircraft measurements demonstrate that these retrievals align well with in situ measurements for overcast clouds, but they may substantially differ for broken clouds or clouds with low liquid water path (LWP). The retrievals are applied to 4 years of ground-based remote sensing measurements of overcast marine boundary layer clouds at the ARM ENA observatory to find that Nd (re) values exhibit seasonal variations, with higher (lower) values during the summer season and lower (higher) values during the winter season. The ensemble of various retrievals using different measurements and retrieval algorithms such as those in this paper can help to quantify Nd retrieval uncertainties and identify reliable Nd retrieval scenarios. Of the retrieval methods, we recommend using the micropulse lidar-based method. This method has good agreement with in situ measurements, less sensitivity to issues arising from precipitation and low cloud LWP and/or optical depth, and broad applicability by functioning for both daytime and nighttime conditions.
Proton Plasma Asymmetries between the Convective-Electric-Field Hemispheres of Venus' Dayside Magnetosheath
Authors: Rojas Mata Sebastián , Stenberg Wieser Gabriella , Zhang Tielong , Futaana Yoshifumi
Published: December 2023

Abstract. Proton plasma asymmetries with respect to the convective electric field (E) are characterized in Venus’ dayside magnetosheath using measurements taken by an ion mass-energy spectrometer and a magnetometer. Investigating the spatial structure of the magnetosheath plasma in this manner provides insight into the coupling between solar-wind protons and planetary ions. A previously developed methodology for statistically quantifying asymmetries is further developed and applied to an existing database of proton bulk-parameter measurements in the dayside magnetosheath. The density and speed exhibit weak asymmetries favoring the hemisphere in which E points towards the planet, while the magnetic-field strength has a weak asymmetry favoring the opposite hemisphere. The temperatures perpendicular and parallel to the background magnetic field as well as their ratio present no significant asymmetries. Deflection of the solar wind due to momentum exchange with planetary ions is revealed by (1) the O+ Larmor-radius trends of the asymmetries of the bulk-velocity components perpendicular to the upstream solar-wind flow and (2) the E×BIMF -drift trends of the bulk-velocity component along the cross-flow component of the interplanetary magnetic field (BIMF). These interpretations are enabled by comparisons to studies of solar-wind deflection at Mars and comet 67P/Churyumov-Gerasimenko, highlighting the benefits of comparative planetology studies.
Storylines of Summer Arctic climate change constrained by Barents-Kara Sea and Arctic tropospheric warming for climate risks assessment
Authors: Levine Xavier , Williams Ryan , Marshall Gareth , Orr Andrew , Seland Graff Lise , Handorf Dörthe , Karpechko Alexey , Köhler Raphael , Wijngaard René , Johnston Nadine , Lee Hanna , Nieradzik Lars , Mooney Priscilla
Published: December 2023

Abstract. While climate models broadly agree on the changes expected to occur over the Arctic with global warming on a pan-Arctic scale (i.e., polar amplification, sea-ice loss, increased precipitation), the magnitude and patterns of those changes at regional and local scales remain uncertain. This limits the usability of climate model projections for risk assessments and their impact on human activities or ecosystems (e.g., fires, permafrost thawing). Whereas any single or ensemble-mean projection may be of limited use to stakeholders, recent studies have shown the value of the storyline approach in providing a comprehensive and tractable set of climate projections that can be used to evaluate changes in environmental or societal risks associated with global warming. Here, we apply the storyline approach to a large ensemble of CMIP6 models, with the aim of distilling the wide spread in model predictions into four physically plausible outcomes of Arctic summertime climate change. This is made possible by leveraging strong covariability in the climate system, associated with well-known but poorly constrained teleconnections and local processes: specifically, we find that differences in Barents-Kara Sea warming and lower tropospheric warming over polar land regions among CMIP6 models explain most of the inter-model variability in pan-Arctic surface summer climate response to global warming. Based on this novel finding, we compare regional disparities in climate change across the four storylines. Our storyline analysis highlights the fact that, for a given amount of global warming, certain climate risks can be intensified while others may be lessened, relative to a “middle-of-the-road” ensemble mean projection. We find this to be particularly relevant when comparing climate change over terrestrial and marine areas of the Arctic, which can show substantial differences in their sensitivity to global warming. We conclude by discussing potential implications of our findings for modelling climate change impacts on ecosystems and human activities.
Vegetation control on nutrient availability and supply in high-elevation tropical Andean ecosystems
Authors: Molina Armando , Vanacker Veerle , Chadwick Oliver , Zhiminaicela Santiago , Corre Marife , Veldkamp Edzo
Published: December 2023

Abstract. Plants absorb nutrients and water through their roots, and modulate soil biogeochemical cycles. The mechanisms of water and nutrient uptake by plants depend on climatic and edaphic conditions, as well as the plant root system. Soil solution is the medium in which abiotic and biotic processes exchange nutrients, and nutrient concentrations vary with the abundance of reactive minerals and fluid residence times. High-altitude ecosystems of the tropical Andes are particularly interesting to study the association between vegetation patterns, soil hydrology and soil nutrient availability. The páramo landscape forms a vegetation mosaic of bunch-grasses, cushion-forming plants and forests. In the nutrient-depleted nonallophanic Andosols, the plant rooting depth varies with drainage and soil moisture conditions. Vegetation composition is a relevant indicator of rock-derived nutrient availability in soil solutions. The soil solute chemistry revealed patterns in plant available nutrients that were not mimicking the distribution of total rock-derived nutrients nor the exchangeable nutrient pool, but clearly resulted from strong biocycling of cations and removal of nutrients from the soil by plant uptake or deep leaching. Our findings have important implications for future management of Andean páramo ecosystems where vegetation type distributions are dynamically changing as a result of warming temperatures and anthropogenic disturbances. Such alterations may not only lead to changes in soil hydrology and solute geochemistry but also to complex changes in weathering rates and solute export downstream with effects on nutrient availability in Andean rivers and high-mountain lakes.
SAVING LIVES FROM ABOVE: PERSON DETECTION IN DISASTER RESPONSE USING DEEP NEURAL NETWORKS
Authors: Bahmanyar R. , Merkle N.
Published: December 2023

Abstract. This paper focuses on person detection in aerial and drone imagery, which is crucial for various operations such as situational awareness, search and rescue, and safe delivery of supplies. We aim to improve disaster response efforts by enhancing the speed, safety, and effectiveness of the process. Therefore, we introduce a new person detection dataset comprising 311 annotated aerial and drone images, acquired from helicopters and drones in different scenes, including urban and rural areas, and for different scenarios, such as estimation of damage in disaster-affected zones, and search and rescue operations in different countries. The amount of data considered and level of detail of the annotations resulted in a total of 10,050 annotated persons. To detect people in aerial and drone images, we propose a multi-stage training procedure to improve YOLOv3’s ability. The proposed procedure aims at addressing challenges such as variations in scenes, scenarios, people poses, as well as image scales and viewing angles. To evaluate the effectiveness of our proposed training procedure, we split our dataset into a training and a test set. The latter includes images acquired during real search and rescue exercises and operations, and is therefore representative for the challenges encountered during operational missions and suitable for an accurate assessment of the proposed models. Experimental results demonstrate the effectiveness of our proposed training procedure, as the model’s average precision exhibits a relevant increase with respect to the baseline value.
GROUND FILTERING OF CO-REGISTERED MOBILE AND STATIONARY LASER SCANS BY USING SUPERPOINTS IN RANSAC PLANES
Authors: Stütz D. , Li J. , Huai J. , Bulatov D.
Published: December 2023

Abstract. Ground filtering is an important tool for many applications. The high variability of landscapes makes it necessary to perform its computation with 3D points as the only input, that is, with as few as possible algorithm parameters and without any training data. In the case of terrestrial laser scans, an additional challenge comes from a highly inhomogeneous point density. The SiRP algorithm on ground filtering, relying on intermediate validating superpixels as ground or non-ground, was previously developed for airborne point clouds. We consider a dataset acquired by a mobile mapping system mounted on a car, which was extended by additional stationary laser scans. The registration algorithm is based on hierarchical merging. Afterwards, SiRP was applied to both uni-modal and multi-modal point clouds. Impressive qualitative and quantitative classification results with around 97 % on overall accuracy were obtained and discussed.
Quality And Factors influencing Healthcare in KSA (Systematic literature review)
Authors:   Health Management Bachelor, King Saud Medical City -Riyadh, Saudi Arabia, Alenazi Maha , Hakmi Tahani ,   Health Management Bachelor, King Abdullah bin Abdulaziz University Hospital -Riyadh, Saudi Arabia, AlMubarak Amani ,   Health Management Bachelor, National Guard Hospital -Riyadh, Saudi Arabia
Published: December 2023

The aim of this review is to identify the factors that impact the quality of healthcare service in KSA based on locally published studies, There are a several factors that contribute to the quality of healthcare in KSA from the perspective of patients and healthcare providers (HCPs) and nurses. Factors such as infrastructure and device availability, emotional, social, and physical support, clinic duration time and appointment availability, HCPs experience and competencies, and specialists and drugs availability were identified as important for quality healthcare. HCPs and nurses in KSA prioritize delivering care that meets international standards, embracing evidence-based practices, and valuing continuous professional development. They also emphasize the significance of patient-centeredness, interdisciplinary teamwork, and respecting patients' cultural beliefs. A robust regulatory framework, healthcare policies, and accreditation standards play a vital role in ensuring consistent quality healthcare services. Additionally, healthcare management and information, hospital supervision, and training and development programs for HCPs were identified as important factors for improving the quality of healthcare in KSA. In conclusion, several factors have shown to be impacting quality of healthcare service in KSA, Policymakers and healthcare providers in KSA shall strive to improve the quality of healthcare services by acknowledging and tackling these factors.
Impact of Task Oriented Training (Balance and Gait) in Hemiplegic and Diplegic Cerebral Palsy
Authors: Saxena Amar , Naqvi Zia Abbas
Published: December 2023

The aim of the study was to investigate the impact of task-oriented training (balance and gait) in hemiplegic and diplegic cerebral palsy. 30 children of cerebral palsy in which 15 were hemiplegic CP and 15 were diplegic CP participating in the study. All the subjects from specified source of data were assessed and those who fulfilled inclusion criteria were taken up for the study. All thirty subjects were randomly allocated in to t wo groups, Group [A] Hemiplegic CP and Group [B] Diplegic CP with 15 subjects in each. Each child was evaluated for their functional ability using the PBS, 10-meter walk test and Gait parameters prior to commencement of training. 40 children were assessed for eligibility. Out of which 4 children were excluded because they refused to participate in study, 6 children were not meeting the inclusion criteria. Total 30 children were randomized and divided in to two groups. Group A (N= 15) (Hemiplegic Cerebral Palsy), Group B (N=15) (Diplegic Cerebral Palsy). Total of 15 males and 15 females were participated in the study. In group A there were 9 males and 6 females and in group B there were 6 males 9 females. In group A Total 5 children had pre-natal causes for cerebral palsy whereas 10 reported postnatal. In group B 8 children had prenatal and 7 postnatal causes responsible for cerebral palsy. It concludes that there is no substantial effect of task-oriented training for children with hemiplegic and diplegic cerebral palsy. We can extend the study period and treatment sessions in subsequent research.

Key words: Oriented training, balance, gait, hemiplegic and diplegic cerebral palsy
Study of the possibility of using M-sequences with frequency shift keying to simulate the seismic-electric effect in a layered geological environment
Authors:   Siberian Federal University, Kudinov D.S. , Potylitsyn V.S. ,   Siberian Federal University, Alekseev D.A. ,   Moscow Institute of Physics and Technology (national research university),   Institute of Physics of the Earth named after. O.Yu. Schmidt RAS
Published: December 2023

The article analyzes and mathematically models the use of a frequency-shift keyed signal coded by M-vibration using a multilayer model of the underlying soil. This type of signal has been shown to exhibit a signal-to-noise ratio of about 1.17 at the earth's surface and in the presence of hydrocarbon layers at a depth of 1000 m.
ASSESSMENT OF THE LEVEL OF DIGITALIZATION IN THE REGIONS OF RUSSIA
Authors:   Joint Stock Company «Institute  of Regional Economic Research», Ivanov A.D. , Sinyagin M.S. ,   Joint Stock Company «Institute  of Regional Economic Research»
Published: December 2023

The article attempts to analyze the current practice and methods for assessing the levels of the digital economy in the regions of Russia, reveals its theoretical essence and practical significance.The main goal of the article is to study the assessment of the level of digitalization in the regions of Russia – for this, a critical analysis of existing assessment methods and approaches was carried out, identifying their strengths and weaknesses. Based on the results of this study, the author came to the conclusion that it is necessary to develop a new theoretical and methodological framework for assessing the level of digitalization of the economy based on data assessing the demand and supply of digital services in real time. This will make it possible to timely identify gaps in the levels of digitalization of Russian regions and promptly solve these problems by introducing best practices, public-private partnership mechanisms, tax incentives for enterprises carrying out digital transformation, and infrastructure budget funding from the federal center to the regions. Further research will identify some areas where digital technology is advancing and lagging behind in others, and explore these issues in more detail.
Еconomic security digital platforms: concept and analysis
Authors:   Joint Stock Company «Institute  of Regional Economic Research», Burak P.I. , Glotov V.I. ,   Academician of the Russian Academy of Natural Sciences, Bauer V.Р. ,   Joint Stock Company «Institute  of Regional Economic Research»
Published: December 2023

The article clarifies the conceptual approach, tested on subjects of the traditional economy, to ensuring the economic security of digital platforms consisting of the following elements: participants, objects, systems, technologies, methods, tools and mechanisms. The conceptual framework of the approach links into a single cycle the process of ensuring the economic security of a digital platform according to the following key components of the analysis: «the problem and its factors → economic orientation within the problem → risks of economic security → indicators and criteria of economic security → method of ensuring economic security». The approach required finding and summarizing a large amount of information, which was used in developing a method for ensuring the economic security of the digital platform. The proposed approach and the analysis performed on its basis expand the boundaries of research in the field of ensuring the economic security of subjects of both traditional and digital economies. The results of the article are of particular theoretical and practical interest for creative economic and IT entities implementing digital platforms in Russia.
Management and collective use of humanitarian knowledge as a factor in ensuring personnel security in Russia
Authors:   Joint Stock Company «Institute  of Regional Economic Research», Stolyarova A.N. , Kolgushkina Y.V. ,   Moscow State University «GSGU», Petrosyan D.S. ,   Joint Stock Company «Institute  of Regional Economic Research»
Published: December 2023

The article discusses issues of knowledge management based on their collective use in humanitarian universities as a factor in ensuring personnel security in Russia. The mission of humanitarian universities is defined as the formation of a body of humanitarian knowledge necessary for the socio-cultural and humanitarian development of Russian society, improving the quality and activating the most important personnel factor in ensuring national security – specialists capable of working in conditions of information high-tech production and society.
Development Status of Internet Hospitals in China
Authors:   Medical College of China Three Gorges University, Yichang, China., Licheng Liang
Published: December 2023

Internet hospitals are the deep integration of Internet, information technology and medical services. Driven by new technologies such as mobile Internet, cloud computing, big data, and the Internet of Things
Metabolic Syndrome and Breast Cancer Development: A Durable Friendship
Authors:   Emergency County Hospital Rm, Valcea 240156 Rm, Valcea, Romania, Cosmin Stan Mihai
Published: December 2023

Breast cancer is the most common type of cancer in women; the incidence increases by 20% when associated with diabetes. Over the last decade, both the incidence and mortality through the neoplasm of the mammary gland or diabetes are constantly growing, and the links between the two are not completely clarified.
Inducible Laryngeal Obstruction (ILO) Coexisting with COPD can Fatally Influence the Course of COPD Exacerbation
Authors:   Virgin Mary Provincial Specialist Hospital, PCK 7, 42-202 Czestochowa, Poland, Ziora Dariusz
Published: December 2023

An intermittent extrathoracic airway obstruction due to adduction of vocal cords, formerly referred to as Vocal Cord Dysfunction (VCD) and now as ILO or VCD/ILO, can lead to sudden dyspnoea of varying intensity mimicking asthma attacks.