bluuebunny/crossref_metadata_2025 huggingface dataset:
Chemical composition and antioxidant capacity of purified extracts of Prosopis pallida(Humb. & Bonpl. ex Willd.) Kunth (Fabaceae) fruits from Northern Peru
Authors:   Universidad Nacional de Trujillo, Suarez-Rebaza Luz A , de Albuquerque Ricardo D D G ,   Universidade Federal Fluminense, Zavala Ewaldo ,   Universidad Nacional de Trujillo, Alva-Placencia Pedro M ,   Universidad Nacional de Trujillo, Ganoza-Suarez Mayer M ,   Universidad Nacional de Trujillo, Ganoza-Yupanqui Mayar L ,   Universidad Nacional de Trujillo, Bussmann Rainer W ,   Ilia State University
Published: June 2023

The purpose of this work was to evaluate the antioxidant capacity of Prosopis pallida(Fabaceae) fruits “algarrobo”, in addition to determine their main chemical components. Fruit purified extracts from the regions of Tumbes, Piura, Lambayeque, and La Libertad (Peru) were evaluated using infusion, decoction, and alcoholic extraction at concentrations of 45, 70 and 96%. To measure the antioxidant capacity of the extracts, the determination of total phenolics content was performed, followed by the antioxidant evaluation using DPPH, FRAP and ABTS. The chemical identification was carried out through UHPLC-UV-MS/MS. The results showed that the decoction of the sample from the region of La Libertad, as well as the ethanol extracts at 45% of the samples from Tumbes and Lambayeque presented greater antioxidant capacity. Moreover, ten major substances of these extracts were identified: nine phenolic derivatives (vicenin II as the main constituent of the extracts) and one diterpene (7-oxodehydroabietic acid).
POETRY BY A.A. FET AND M.E. SALTYKOV-SHCHEDRIN
Authors:   Altai State Pedagogical University, Kozubovskaya G. P.
Published: June 2023

The article deals with the problem of “A.A. Fet and M. E. Shchedrin”, which was only occasionally raised in the domestic literary criticism of the Soviet period. Attention is paid to biographical and historical-literary aspects. An attempt is made to systematize the critical assessments given by Shchedrin to Fet’s poetry. The article considers the specifics of Shchedrin’s position, which, according to Yu.V. Lebedev, did not reach the complete “destruction of aesthetics”, as happened with Pisarev and V. Zaitsev, and some techniques of poetics of criticism (e.g., dialogue with the reader). It is shown that the duality of the critic’s position, on the one hand, understanding the aesthetic value of Fet’s poetry, on the other, devaluing it by applying theoretical ideas of revolutionary democracy to it, is also seen in Shchedrin’s prose, repeatedly quoting lines of Fet’s poetry. Semantics and functions of “someone else’s speech” in Shchedrin’s prose are clarified, the mechanisms of quoting in various kinds of beating Fetov quotes are investigated.
LITERARY SOURCES OF THE FAIRYTALE REPERTOIRE OF E. M. LEVINA FROM THE PUDOZH REGION (KARELIA)
Authors:   Karelian Research Center, Russian Academy of Science, Lyzlova A. S.
Published: June 2023

The Pudozh region of Karelia, rich in folklore traditions of various genres, has attracted the attention of the researches of Karelian Research Institute (now the Institute of Linguistics, Literature and History of Karelian Research Centre of the Russian Academy of Sciences) since its foundation in 1930. Evdokia Makarovna Levina from Poga Village situated at Lake Vodlozero appeared to be the source for recording the largest number of fairy tales (more than 50) in the 1970s. The research revealed that some of the fairy-tales performed by this illiterate woman descend from the texts published in anthologies and collected volumes, as this article proves with the help of textological comparisons.
M. PRISHVIN AND A. HAYDOCK: A DIALOGUE ABOUT MANCHURIA, MAN AND TRUTH (“ZHEN-SHEN” AND “STARS OF MANCHURIA”)
Authors:   Altai State Pedagogical University, Khudenko Е. А.
Published: June 2023

The article is devoted to the consideration of the phenomenon of literary «synchrony» – contemporaneous appearance of the phenomenon of philosophical and poetical identity in the texts of authors who never crossed with each other in the living space. A comparative analysis of the famous novel by M. Prishvin “ Ginseng “ and the little-known collection of short stories by A. Haydock “The Stars of Manchuria” suggests that the creative searches of the authors developed in the same way. Through the comprehension of eastern nature and Eastern philosophy, writers come to the idea of the unity of all living things and the interconnectedness of everything with this in a single stream of Being. Paintings of neo-romantic nature, motives of escape from reality, music, the search for the ideal feminine principle, the “keys of happiness” and the truth of human existence play an equally significant role in both texts. All this allows us to understand in a new way not only the Prishvin creativity, but also the literary process of the 1930s in the unity of two branches – the metropolis and the eastern line of the «first wave» of Russian emigration.
IMAGES OF CLASSICAL WRITERS IN DMITRY BORISOV’S WORKS “CHAMBER JUNKER” AND “PUSHKIN AT GOGOL’S”
Authors:   House of N. V. Gogol – Memorial Museum and Scientific Library, Ryasov D. L. , Shelenok M. A. ,   St. Petersburg Humanitarian University of Trade Unions
Published: June 2023

We analyze the novella “Chamber junker” and the short story “Pushkin at Gogol’s” by a Saratov writer D. M. Borisov, published in 1937. In these works the author tried to creatively comprehend the bright moments of the biography of the classical writers, but then he was subjected to severe ideological criticism. The article is devoted to the revision of those unfair assessments.
MYTH-IMAGES OF SPANISH PAINTERS IN WORKS BY P.G. ANTOKOLSKY
Authors:   Siberian State University of Geosystems and Technologies, Zhdanov S.S. , Gauzer I. V.
Published: June 2023

The paper deals with myth-images of Spanish painters Diego Velazquez and Pablo Picasso in texts by P.G. Antokolsky with regard to relation of these images with the Spanish myth of Russian culture as well as with the tradition of representing the Spanish paintings personosphere in Russian literature. Ambivalence of author’s interpreting the images of painters characterized with some elements of the ‘black legend’ is stated. Relation between the images of the Spanish painters and the motif of immortal arts is determined. The myth-image of Picasso that is highly significant for Antokolsky is also marked with the motif of creator-groundbreaker being a personalization of the XX century.
Determinants of Foreign Investment Attraction Contributed to Social Economic Development: A Case Study in Vietnam
Authors: Thuy Le Thu , Tam Phan Thanh
Published: June 2023

Objective: The study aims to measure the key factors influencing foreign investment attraction for social and economic development post-Covid-19 Pandemic in Vietnam.

 

Method: In this study, the authors used a convenient and straightforward survey method to survey 700 investors of 700 FDI enterprises in 10 big provinces in Vietnam, processing data through SPSS 20.0. The study's value proposed policy recommendations rapidly and effectively, becoming an essential part of the economy and making positive contributions to the socio-economic development of Vietnam.

 

Results: The article's findings found the key factors influencing the foreign investment attraction to serve the country's socio-economic development post-Covid-19 Pandemic in Vietnam with a significance of 1.0 percent and proposed many policy recommendations for policymakers and managers contributing to socio-economic development.

 

Conclusions: Foreign direct investment is a critical capital source of the economy, a driving force contributing to social and economic development. The capital plays a vital role in socio-economic development. In particular, thanks to the priority of macroeconomic stability, precise orientation, and preferential policies in attracting foreign capital, even in a large-scale pandemic affecting the global economy. The study's value proposed policy recommendations rapidly and effectively, becoming an essential part of the economy and making positive contributions to the socio-economic development of Vietnam.
Study of Self Esteem and Factors Associated among Medical Students of a Private Medical College of Karnataka: A Cross Sectional Study
Authors: Rajesh S S  , Shwetha T M  , Anupama M
Published: June 2023

Background: Self-esteem refers to a person’s overall sense of his worth or value. It is how much a person “values, approves of, appreciates, prizes, or likes him or herself. ”Medical Education is quite demanding in terms long duration, lack of time, vastness. Medical students experience various forms of stress due to financial, and social pressures which could affect their levels of self-esteem. Objectives: 1. To assess the level self-esteem among medical students of a private medical college in South India using Rosenberg Self-esteem scale. 2. To find out the factors associated with the levels of self-esteem among medical students of a private medical college in South India.Materials and Methods: This is a cross-sectional observational study. UG and PG students of the college were participants. The pre structured questionnaire was used to collect the socio demographic details and Rosenberg Self-esteem scale (RSES) was used to assess the self-esteem among the medical graduate and post graduate students. Descriptive and inferential statistical analysis has been carried out in the present study. Results were presented as percentages for categorical data. Significance is assessed at 5% level of significance. Chi-square test has been used to find the significance of study. Results: In the study 72 (20.86%) had low self-esteem, 258(74.78%) scored between (16-25) that shows normal self-esteem and only 16 (4.63%) scored >25 indicating high self-esteem. Conclusion: This study found that the majority of medical students had normal self-esteem The factors such as sex of the student, age, marital status, type of course, socio economic status class were found to be significantly associated with the levels of self-esteem. Other factors like place of residence, religion was found to be insignificant
Assessment of the coposition of water masses in the easter part of the Barents Sea using modern data of δ18O and δ2H parameters
Authors:   Murmansk Marine Biological Institute of the Russian Academy of Sciences, Pastukhov Ivan A. , Namyatov Alexey A. ,   Murmansk Marine Biological Institute of the Russian Academy of Sciences
Published: June 2023

This paper presents the results of measurements of δ18O and δ2H stable isotope values in the waters of the Barents Sea, which were carried out in March–April 2021. Based on the data presented, the ratio of base water content – atlantic (fa), river (fr) and melt water (fi), as well as the volume of water withdrawn for ice formation in the studied water area was assessed. The comparative estimation of base water content, calculated on values “δ18O–salinity” and “δ2H–salinity” is presented and obtained values do not exceed limits of mean value ±sd. However, average values of Atlantic and ice water content calculated using δ2H parameter are higher than those using δ18O, and river water content is lower. The use of δ18O and δ2H parameters in oceanographic studies in the calculation of balance characteristics is preferable to temperature and salinity because of their greater conservativity.
Design and Website Design for Vivree Photography
Authors: Eliezer Jonathan Jami'an
Published: June 2023

Vivree Photography is a wedding photography service domiciled in Surabaya with a target market of millennials aged 22 - 30 years. Vivree Photography has been established since 2019 and has been running a photography business that focuses on wedding photography and has met many consumers. After evaluating this professional impression, the website is felt to be very important because it is an image and also to be trusted in the field of business that is involved by looking at other competitors. The website as a professional image also enables competitors to create marketing to increase customer engagement. This research uses a literature study in the form of a literature review using national and international journals and books that discuss websites for business, UI / UX on websites and customer engagement. In addition, the literature review method is also carried out using quantitative methods with expert users who are competent in technology and photography, extreme users who have used the services of Vivree Photography, and a discussion group forum by 15 people aged 22-30 years to review the results of websites that have been published. create and provide further suggestions for the Vivree Photograph website. Therefore, from the results of the research, it can be concluded that website design and UI / UX design which has a monochrome minimalist design style and has a warm tone and emphasis on writing and features on the website are very important for a business website, especially a service business in order to improve marketing and also customers. engagement Vivree Photography.

 

Keywords: Professional, Design, Website, Promotional Media, Consumer
A Study on Influencing Factors on Policy Mortgage User Satisfaction
Authors:   The Korean Data Analysis Society, Lee Gyungeui , Park Chan Wook
Published: June 2023

Policy mortgage is a policy financial product that enables long-term fixed interest rate, low interest rate, long-term loan period, and installment repayment for the residential stability of the common people and improvement of housing welfare. This study conducted an empirical analysis through a proportional odds logit model for households using Bogeumjari Loan, a policy mortgage for the housing vulnerable class, based on the Korea Housing Finance Corporation's '2021 Housing Finance and Demand Survey'. As a result of the analysis, the factors that affect Bogeumjari Loan user satisfaction are loan income requirements, loan maturity, increase in existing loan limit, educational level, type of product used, number of children, comparison with other products before joining, and finally single householder in order. In order to vitalize policy mortgage, it is considered that flexible operation considering the factors that most affect the satisfaction of policy mortgage users, such as housing price loan limit, income requirement, maturity, and repayment capacity, is necessary. As interest rates have risen sharply recently, the burden of repayment of interest on home mortgage loan users has been increasing, so the role of policy mortgage for the housing vulnerable class is expected to become more important. In addition, the results of this study can be used as policy data to improve housing welfare for homeless people or low-income consumers who want to buy their own home.
Take-Over Time and Driving Performances by Driver’s Age Group, Types of Non-Driving Related Tasks, and Road Complexity in Automated Driving
Authors:   The Korean Data Analysis Society, Ko Yeseul , Lee Jaesik
Published: June 2023

The take-over time (TOT) and driving performances of young and old drivers according to the types of non-driving related tasks (NDRTs) and road complexity were compared by using 3-level automated driving simulation. NDRTs were divided into four types according to the stimulus modality and response modality: visual stimulus-verbal response(V-V), visual stimulus-manual response(V-M), visual/auditory stimulus-manual response(AV-M), and auditory stimulus-verbal response(A-V). Control condition where NDRT was not performed was also included. The participant group was divided into a young driver group and an elderly driver group, and the road condition was divided into a no-traffic condition and a heavy traffic condition based on the surrounding traffic volume. The main results of this study are as follows. First, TOT was the slowest in the visual stimulus-manual response condition, but the fastest in the auditory stimulus-verbal response condition. In particular, this tendency was more prominent in the elderly driver group than in the younger driver group and in the heavy traffic condition than in the no-traffic condition. Second, the main effect of the NDRT type was not significant in the driving performance measurements including steering wheel manipualtion variability and brake input after taking over control, but greater steering wheel manipulation variability and brake input were observed in the elderly driver group compared to the young driver group and in the heavy traffic condition compared to the no-traffic condition. These results suggest that the driver's age, NDRT type, and road conditions can have an integrated effect on TOT and driving performance after taking over control in autonomous driving situations.
Influencing factors of pedestrian traffic accident for junior and senior in Daegu
Authors:   The Korean Data Analysis Society, Hwang Yeongeun , Yoon Sanghoo
Published: June 2023

A pedestrian traffic accident is a collision between a pedestrian and a moving vehicle that occurs within the surrounding road environment. The traffic accident data and secondary data from Daegu were collected and utilized between January 2014 and December 2019. The traffic accident data was divided into children, ordinary, and seniors according to the age of pedestrians. A classification model was applied to determine the ranking of the influencing factors. SMOTE was used to address the imbalance in traffic accidents among children and seniors compared to ordinary. The multinomial logistic regression model (MLR), random forest (RF), GBM, and XGBoost were considered classification models. The classification performance of RF, XGBoost, and GBM using ensemble-based decision trees was superior to that of the MLR. The results showed that the important variables for explaining pedestrian traffic accidents were as follows: children pedestrians suffered between 13:00 and 20:00 on sunny days in densely populated industrial complex areas. On the other hand, senior pedestrians faced higher risks of vehicle accidents between 9:00 and 12:00 on sunny days, mainly at intersections in downtown areas with traditional markets. As for the important influencing factors derived from the research, the number of educational institutions, the number of vehicle registrations, precipitation, the number of academies, the number of parks, and the number of facilities for the elderly ranked high accordingly.
Evaluation of the Type 2 Errors of Testing Methods for Path Coefficients in Structural Equation Model
Authors:   The Korean Data Analysis Society, Woo Min Sun , Kang Hyuncheol
Published: June 2023

When performing data analysis using a structural equation model, the main concern is the estimation and testing of path coefficients. Testing methods for path coefficients include the t-value method, Satorra-Bentler's scaling testing statistic method, and Bollen-Stine's bootstrap method. All of these methods are asymptotic testing methods that assume a normal distribution of data, and may provide different testing results depending on the type of given data and model. In this study, the testing power (1-type 2 errors) was calculated under various circumstances using simulations for the testing methods that are mainly used, and the performance of these testing methods was evaluated through the results. The ML method was found to have robust properties in deviation from normal distribution in terms of estimation and power. Also, in most situations, the power of the Satorra-Bentler scaling testing was greater than that of the ML method. And in some situations, when the sample size is small, the power of the bootstrap method based on WLS was slightly smaller than that of other methods. Although the results of this study cannot be generalized in all situations, it is thought that they can be referenced in various fields of research using structural equation models.
Correlation of Parkinson’s disease with diabetes mellitus, obesity, dyslipidemia and their association with severity of disease
Authors:   Department of Internal Medicine, Babol University of Medical Sciences, Babol, Iran, Valokolaei Seyyed Hamid Abedi , Valokolaei Seyyed Hassan Abedi ,   Clinical Research Development Unit of Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran, Saadat Payam ,   Clinical Research Development Unit of Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran,   Mobility Impairment Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran, Ahangar Alijan Ahmadi ,   Mobility Impairment Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran, Gholinia Hemmat ,   Health Research Institute, Babol University of Medical Sciences, Babol, Iran
Published: June 2023

Introduction. The present study aimed to investigate Parkinson’s disease with diabetes, obesity, dyslipidemia and their relationship with disease severity. Methods. In this case-control study, all patients referred to Rouhani Hospital in Babol with clinical diagnosis of Parkinson’s disease were excluded in the case study and the control group was selected from the patients of the clinic and neurology ward. Parkinson’s disease diagnosis was based on common criteria and the four classic sign (symptoms) of the disease. Results. Obesity in patients with Parkinson’s disease was 65.4%, which was higher than the control group with 34.6%. The association between obesity and Parkinson’s disease was significant (OR = 2.14 and p = 0.01). Diabetes was 59.7% in patients with Parkinson’s disease and was 40.3% in patients in the control group that diabetes is also associated with the incidence of Parkinson’s disease (OR = 2.59 and p <0.001). 59.6% of patients with Parkinson’s disease had anemia, while 40.4% of the control group had anemia, and the relationship between anemia and Parkinson’s disease was significant (OR = 1.78 and p = 0.02). 55.5% of patients with Parkinson’s disease had dyslipidemia, while 44.5% of the control group had dyslipidemia, and the relationship between dyslipidemia and Parkinson’s disease was significant (OR = 2.09 and p = 0.004). Conclusion. In summary, this study showed that Parkinson’s is associated with obesity, diabetes, anemia and dyslipidemia. The above cases were effective as risk factors for Parkinson’s disease and how it requires further research in this area.
Swarm Intelligence Based MMSE Frequency Domain Equalization for MIMO Systems
Authors: Diana D. C. , Hema R.
Published: June 2023

The automatic upgradation of equalizer weights in channel equalization demands a low-complexity, highly accurate estimation of recovery at the minimum possible time. The low-complexity frequency domain equalization improves the minimum mean square error (MMSE) of the equalization process. Adding the superiority of particle swarm optimization (PSO) to the equalizer coefficient selection process enhances the MMSE. This work proposes frequency-domain channel equalization along with a modified PSO (MPSO) as an adaptive algorithm for equalizer weight selection in MIMO systems. The simulation results validate the performance with the time domain linear and decision feedback equalizer structures for BPSK and QAM systems. The parameters are carefully selected by analyzing MMSE thoroughly under timevarying channel conditions.
New Zero Voltage Switching Bidirectional DC-DC Converter with Simple Structure
Authors: Vesali Mahmood , Khorami Marzieh , Ghafoorian Farhad
Published: June 2023

A new zero voltage switching bidirectional DC-DC converter proposes in this paper. In the proposed converter, without adding any auxiliary switches and with a simple snubber, soft switching conditions are created, which simplifies the structure of the converter. The control of the switches in the proposed converter is complementary to each other, so the control circuit of the converter is simple and does not need any extra control circuit. The coupled inductors used in the converter, in addition to controlling the resonant inductor energy, transfer circulating currents to the input or output, which reduces the loss energy in the converter and increases the efficiency. The proposed converter is fully analyzed, and to verify the theoretical analysis, a 300-watt prototype of the converter is implemented and tested, resulting in an efficiency of about 95.5% at full load.
Spora Yönelik Tutum, Sosyal Güvende Hissetme ve Memnuniyet İlişkisi
Authors: ÖZSARI Arif , FİŞEKÇİOĞLU İbrahim Bülent
Published: June 2023

Bu araştırma ile spora yönelik tutumunun, sosyal güvende hissetme ve memnuniyet üzerindeki etkisinin incelenmesi amaçlanmıştır. Araştırma grubunu taekwondo (161 sporcu), kickboks (18) ve judo (100) branşlarında (n= 118 kadın, n=161 erkek) 279 aktif lisanslı sporcu oluşturmaktadır. Araştırma için etik kurul onayı alınmıştır. Araştırma verilerinin toplanmasında spora yönelik tutum ölçeği, sosyal güvende hissetme ve memnuniyet ölçeği ile kişisel bilgi formu kullanılmıştır. Betimleyici istatistiğin yanı sıra, ilişkisel model kapsamında korelâsyon ve regresyon analizlerine yer verilmiştir. Araştırmanın korelâsyon analizi bulgularına göre; spora ilgi duyma ile sosyal güvende hissetme ve memnuniyet arasında orta düzeyli (r=.471) ve pozitif, sporla yaşama ile sosyal güvende hissetme ve memnuniyet arasında orta düzeyli (r=.407) ve pozitif, aktif spor yapma ile sosyal güvende hissetme ve memnuniyet arasında orta düzeyli (r=.410) ve pozitif bir korelasyon olduğu tespit edilmiştir. Regresyon analizi bulgularına göre ise spora ilgi duymanın (β=.303), sporla yaşamanın (β=.144) ve aktif spor yapmanın (β=.163) sosyal güvende hissetme ve memnuniyet üzerinde pozitif bir etkisi olduğu tespit edilmiştir. Sonuç olarak: Taekwondo, kickboks ve judo sporlarına yönelik tutum arttıkça (spora ilgi duyma, sporla yaşama, aktif spor yapma) sosyal güvende hissetme ve memnuniyet düzeyinin de artacağı söylenebilir. Özellikle yeni yetişen nesil başta olmak üzere, bireylerin sosyal güvende hissetme ve memnuniyetlerini arttırmak için sportif faaliyetlere yönlendirilmeleri önerilebilir.
Recomendaciones para el manejo agronómico del cultivo de fríjol arbustivo en el sistema intercalado con café
Authors: Jaramillo Santiago
Published: June 2023

La producción competitiva de cultivos como el fríjol arbustivo intercalado en las calles del café a libre exposición solar, representa una excelente alternativa para producir alimentos y generar ingresos adicionales durante la etapa improductiva del café.
Ethnography Study: The Power of Agent in Determining the Cost of Production from Indonesia Heritage Product
Authors: RIDWAN Ridwan , INDRIASARI Rahayu , JAMALUDDIN Jamaluddin , TOTANAN Chalarce , PARWATI Ni Made Suwitri
Published: June 2023

Currently, business development in Indonesia is very fast after the COVID-19 pandemic. The pandemic and recession have many experiences. A person with a business must improve the efficiency and effectiveness of his business production process to be competitive. Business competition not only requires business owners to produce goods but also how producers are right in calculating the cost of production of the goods they produce. When business owners know how much they spend to produce their products, they will be easier to manage and decide how much the product's price is and the profit from every product. The concept of cost is one line with efficiency practice. That means cost efficiency may give the entities more opportunity to up their profit. This study aims to find the practice of determining the Cost of Production of Donggala buya sabbe as a local heritage by home industries in Central Sulawesi. The research method uses an ethnographic approach with an interpretive paradigm. The study found that determining the cost of production on buya sabbe woven fabrics by weavers was based on three theme dimensions: customer custom tastes, expertise factors, and role division. Of these three dimensions, in the ethnographic record, one defining the value of the cost of production is the power of collectors as agents and the motive of the weavers to continue working not because they want to preserve heritage culture but because of economic motives.
Spitzer IRS Observations of Titan as a Precursor to JWST MIRI Observations
Authors: Coy Brandon Park , Nixon Conor A. , Rowe-Gurney Naomi , Achterberg Richard , Lombardo Nicholas A. , Fletcher Leigh N. , Irwin Patrick
Published: June 2023

In this work, we present for the first time infrared spectra of Titan from the Spitzer Space Telescope (2004–2009). The data are from both the short wavelength–low resolution (SL; 5.13–14.29 μm, R ∼ 60–127) and short wavelength–high resolution (SH; 9.89–19.51 μm, R ∼ 600) channels showing the emissions of CH4, C2H2, C2H4, C2H6, C3H4, C3H6, C3H8, C4H2, HCN, HC3N, and CO2. We compare the results obtained for Titan from Spitzer to those of the Cassini Composite Infrared Spectrometer (CIRS) for the same time period, focusing on the 16.35–19.35 μm wavelength range observed by the SH channel but impacted by higher noise levels in the CIRS observations. We use the SH data to provide estimated haze extinction cross sections for the 16.67–17.54 μm range that are missing in previous studies. We conclude by identifying spectral features in the 16.35–19.35 μm wavelength range that could be analyzed further through upcoming James Webb Space Telescope Cycle 1 observations with the Mid-Infrared Instrument (5.0–28.3 μm, R ∼ 1500–3500). We also highlight gaps in the current spectroscopic knowledge of molecular bands, including candidate trace species such as C60 and detected trace species such as C3H6, that could be addressed by theoretical and laboratory study.
A new species of Hemiphyllodactylus (Squamata, Gekkonidae) from Ha Giang Province, Vietnam
Authors: Luu Vinh Quang , Nguyen Thuong Huyen , Do Quyen Hanh , Pham Cuong The , Hoang Tuoi Thi , Nguyen Truong Quang , Le Minh Duc , Ziegler Thomas , Grismer Jesse L. , Grismer L. Lee
Published: June 2023

An integrative analysis recovered a new species of the Hemiphyllodactylus typus group from a karst formation in Lung Cu Commune, Dong Van District, Ha Giang Province, northeastern Vietnam. Hemiphyllodactylus lungcuensissp. nov. is embedded within clade 6 of the typus group, bearing an uncorrected pairwise sequence divergence of 4.6–20.2% from all other species based on a 1,038 base pair segment of the mitochondrial NADH dehydrogenase subunit 2 gene (ND2). It is diagnosable from other species in clade 6 by statistically significant mean differences in normalized morphometric, meristic, and categorical characters. A multiple factor analysis using the three aforementioned character types recovered its unique, non-overlapping placement in morphospace as statistically significantly different from that of all other species in clade 6. The description of this new Hemiphyllodactylus species contributes to a growing body of literature underscoring the high degree of herpetological diversity and endemism in karst landscapes in Vietnam as well as in the genus Hemiphyllodactylus.
L’économie circulaire, une renaissance durable ? De la circularité faible à la circularité forte
Authors: Aggeri Franck
Published: June 2023

Après une longue éclipse, l’économie circulaire connaît, depuis une dizaine d’années, une renaissance sous la forme d’un récit utopique et œcuménique où elle est présentée comme un modèle alternatif à celui de l’économie linéaire. Mais à quelles conditions cette renaissance est-elle véritablement durable ? Cet article revient sur la formation de ce récit, en analyse les impensés, notamment historiques, et en montre les limites. À une approche de circularité faible visant une adaptation à la marge du modèle économique dominant cet article oppose un modèle de circularité forte , fondé sur des principes de sobriété, d’allongement de la durée de vie des produits et d’intensification de leurs usages.
Classical and Bayesian inferences on the stress-strength reliability $ {R = P[Y < X < Z]} $ in the geometric distribution setting
Authors: Nayal Amit Singh , Singh Bhupendra , Tyagi Abhishek , Chesneau Christophe
Published: June 2023

The subject matter described herein includes the analysis of the stress-strength reliability of the system, in which the discrete strength of the system is impacted by two random discrete stresses. The reliability function of such systems is denoted by $ R = P[Y < X < Z] $, where $ X $ is the strength of the system and $ Y $ and $ Z $ are the stresses. We look at how $ X $, $ Y $ and $ Z $ fit into a well-known discrete distribution known as the geometric distribution. The stress-strength reliability of this form is not widely studied in the current literature, and research in this area has only considered the scenario when the strength and stress variables follow a continuous distribution, although it is essentially nil in the case of discrete stress and strength. There are numerous applications wherein a system is exposed to external stress, and its functionality depends on whether its intrinsic physical strength falls within specific stress limits. Furthermore, the continuous measurement of stress and strength variables presents inherent difficulties and inconveniences in such scenarios. For the suggested distribution, we obtain the maximum likelihood estimate of the variable $ R $, as well as its asymptotic distribution and confidence interval. Additionally, in the classical setup, we find the boot-p and boot-t confidence intervals for $ R $. In the Bayesian setup, we utilize the widely recognized Markov Chain Monte Carlo technique and the Lindley approximation method to find the Bayes estimate of $ R $ under the squared error loss function. A Monte Carlo simulation study and real data analysis are demonstrated to show the applicability of the suggested model in the real world.
Comparative Simulation Study of Classical and Machine Learning Techniques for Forecasting Time Series Data
Authors: Iaousse Mbarek , Jouilil Youness , Bouincha Mohamed , Mentagui Driss
Published: June 2023

This manuscript presents a simulation comparison of statistical classical methods and machine learning algorithms for time series forecasting notably the ARIMA model, K-Nearest Neighbors (KNN), The support Vector Regression (SVR), and Long-Short Term Memory (LSTM). The performance of the models was evaluated using different metrics especially Mean Squared Error (MSE), Mean Absolute Error (MAE), Median Absolute Error (Median AE), and Root Mean Squared Error (RMSE). The results of the simulations approve that KNN algorithm has better accuracy than the others models’ forecasting notably in the middle and long terms. The MAPE for the KNN model was around 4.976843 while SVR and LSTM architectures had a MAPE of 6.810311 and 13.992133 respectively. In the medium and long term, ML models are so powerful on big datasets. Paradoxically, Machine learning architectures outperform ARIMA for shorter-term predictions. Thus, ARIMA is most appropriate in the case of univariate small data sets, where deep learning algorithms are not yet at their best.
Être engagé et s’engager dans la responsabilité d’adjoint d’établissement
Authors: Mallard Simon , Réto Gwénola , Décret-Rouillard Rozenn
Published: June 2023

Les adjoints d’établissement scolaire (ADES), bien qu’acteurs incontournables du système éducatif, demeurent une population peu explorée. Cet article vise à comprendre les motivations et les formes de leur engagement dans la responsabilité. Il s’intéresse aux adjoints des établissements privés sous contrat et s’appuie sur une recherche qualitative à visée compréhensive (recherche-action-formation menée par focus group auprès de 24 ADES). Après avoir contextualisé leur accès au management, clarifié la notion d’engagement et de responsabilité et présenté la méthodologie déployée, il présente les principaux résultats. Il montre les tensions inhérentes à l’engagement dans le rôle managérial sous le prisme de la responsabilité, entre l’appropriation du désir d’autrui et de son propre désir, entre liberté institutionnelle liée à un rôle peu cadré et assignation à un poste déterminé par le chef d’établissement, entre le rapport à l’enseignement et à la direction.
Former les cadres d’établissements scolaires
Authors: Yvon Frédéric , Huguenin Jean-Marc
Published: June 2023

Ce texte porte sur la possibilité de former les cadres scolaires en partant de leur activité réelle. Il examine dans un premier temps les potentialités de puiser dans les données d’une observation du quotidien de directions d’établissements scolaires. Ayant éprouvé les limites d’une telle démarche, il introduit l’approche par les paradoxes organisationnels pour faire parler les observables et mettre en perspective les dilemmes et hésitations vécus par les cadres scolaires dans l’exercice de leurs fonctions. Il présente enfin une formation continue qui cherche à identifier, comprendre et mettre en discussion ces paradoxes, et notamment les modalités de les gérer.
Manager plus efficacement mais sans perdre son âme dans l’économie sociale et solidaire
Authors: Mahlaoui Samira , Cadet Jean‐Paul , Ronzy Michel
Published: June 2023

Comment manager les structures de l’économie sociale et solidaire (ESS) et les petites coopératives en particulier, et faire ainsi face à la tension entre valeurs sociales à faire prévaloir et rentabilité à obtenir, qui caractérise ce management, notamment en situation de crise ou de mutation ? Une étude de cas qui porte sur des directeurs administratifs et commerciaux (DAC) de coopératives de consommation confrontées à un changement de modèle économique, montre ce que peut vouloir concrètement dire adopter la posture de l’entrepreneuriat coopératif en pareilles circonstances. Les DAC impliqués dans la démarche de co-analyse mise en œuvre se comparent désormais à des dirigeants de Très Petites Entreprises (TPE) et développent une professionnalité managériale qui se veut plus efficace tout en cherchant à rester arrimés au cadre coopératif et à préserver leur identité de coopérateurs.
Mental Health Predictions Through Online Social Media Analytics
Authors: Chatterjee Moumita , Modak Subrata , Sarkar Dhrubasish
Published: June 2023

According to WHO data, mental health is a major source of concern throughout the world, amounting to suicide in the majority of instances if left untreated. Presently, social media is a great way for people to express themselves through text, emoticons, images, or videos that depict their sentiments and emotions. This has opened up the possibility of investigating social networks in order to better comprehend their users' mental states. Social media is currently being used by researchers to predict the prevalence of mental illnesses such as depression, suicide ideation, anxiety, and stress. This area of study has considerable potential for the monitoring, diagnosis, and prevention of mental health issues. In this research we aim to give an overview of the most recent works for predicting mental health status on social media. We focused on data collection and annotation approaches, preprocessing and feature selection, model selection, and validation. We addressed research on depression and suicidal thoughts, which are the most common among mental health studies on social media.
Significant Approaches and Applications of Virtual Reality in the Treatment of Depression
Authors: Adhikary Arpan , Ghosh Dipanwita , Nayek Asit Kumar
Published: June 2023

Virtual reality (VR) is one of the versatile technologies which extends reality into the virtual domain. It offers an enormous virtual environment that is partially or completely independent from the real world. The objective of VR is to create an environment that will simulate or build the digital forms of the real world. For this feature of simulation, VR technology is being rapidly adopted in the healthcare industry for different purposes, i.e., training, treatment, disease awareness, etc., where many of its applications are in the testing phase. Depression is one of the psychological health issues that has become a very common problem worldwide. Different methods like antidepressants and psychotherapy can be used to treat this problem. Some VR technologies have already been adopted for the treatment of depression. In this chapter, the authors are going to discuss the significant applications and approaches of VR towards depression.
Cyber Threat Migration
Authors: Usmani Minhaj Akhtar , Usmani Kainat Akhtar , Kaleem Adil , Samiuddin Mohammad
Published: June 2023

‘Globalization,' ‘industrialization,' ‘cyber connectivity,' ‘digitalization,' and ‘e-commerce' are not fantasy words in today's era. They all amalgamated towards the growth and development of every sector in the country. But as on other side of the coin, cyber security is on the verge of serious threats in digital world. The danger posed by cyber security threats in today's world cannot be understated. The health sector, agriculture, and food and beverage industries are no exemptions. As they all are inter-related, they manage an array of assets, including infrastructure, applications, managed and unmanaged endpoints, mobile devices, and cloud services, all of which can be attacked. Information and cyber security are trending topics. As the security risk is scooping high, different organizations should take steps forward to protect themselves. This chapter focuses on the frightening hikes in incidences of cyber-attacks, and also focuses on major cyber security approaches to minimize the risk of cyber breaches and making these industries flourish like never before.
YOLO-IP
Authors: Nayak Rashmiranjan , Dwivedi Prashant , Pati Umesh Chandra
Published: June 2023

The food security of any country may be jeopardized due to improper management of agricultural insect pests. Accurate pest detection and efficient pest control strategies must be employed in time to grow healthy crops for achieving food security in a country and worldwide. Hence, developing efficient and robust techniques to detect agricultural insect pests using computer vision approaches is one of the essential steps for timely managing insect pests. This chapter presents a short survey of deep learning-based object detection techniques focusing on insect pest detection and associated insect pest image datasets. Subsequently, a transfer learning-based custom You Only Look Once (YOLOv5) model is developed using the publicly available dataset IP102 for detecting agricultural insect pests with the help of computer vision approaches. The hyperparameters of the proposed insect pest detector are optimized using the genetic algorithm-based hyperparameter evolution method. The performance metrics of the proposed insect pest detector are found to be promising.
Can Green Products and Services in the Insurance Industry be a Sustainable Measure?
Authors: Chummun Bibi Zaheenah
Published: June 2023

Nowadays sustainability is classified as a prominent issue, more specifically in the business world. Sustainability has a bearing on every industry at all levels. The insurance sector is not an exception and shows a remarkable interest in matters related to sustainability. Sustainable insurance businesses require multi-dimensional interventions of eco-innovation and creativity. Increasing contradictions between economic growth and environmental issues have become an important issue for businesses worldwide. The societal and technological responses to climate change threats are rapidly developing and there is still a lack of efficient financial strategies to mitigate sustainable risks. To achieve insurance business success, many insurers focus constantly on their growth in increasing their market share and retaining better risks. Insurers should always look for new ways to differentiate themselves from their competitors. In developing and offering new green products and services-related to potential sustainability, green insurance movement is the new wave and can be the solution.
Green Manufacturing
Authors: Nayak Arpita , Satpathy Ipseeta , Patnaik B. C. M. , Baral Sukanta Kumar , Patnaik Atmika
Published: June 2023

The goal of this work is to provide an overview of the different advantages of green manufacturing to society, it is a step taken towards a greener economy. This analysis comprises approximately 47+ published research articles on this topic. The evaluation covers papers from prominent publications as well as general management journals with significant links to the topic. This chapter makes a significant contribution to theory by giving insights into the advantages of green manufacturing and its impact on a greener economy, and it draws on various works of literature and numerous theoretical perspectives to get a more thorough understanding of green manufacturing's influence on society, the environment, and the economy. The chapter also addresses the integrated perspective's consequences for philosophy and practice. This study states the advantages of green manufacturing adoption by some of the organizations in our society.
Analysis of Application and Creation Skills of Story-Based MV Micro Video and Big Multimedia Data in Music Communication
Authors: Zhang Xi , Cui Yue
Published: June 2023

MV is an art type that uses TV pictures to supplement information and content that cannot be covered by music. With the rapid development of micro video technology and network technology, micro video has been rapidly popularized. Combining MV and micro video with mobile devices and platforms, it breaks the limitations of traditional movies, TV, and animation and becomes a new highlight of cultural communication in the new era. This paper starts with the selection of MV songs, story script, content design, MV shooting and editing skills, and introduces the specific creation methods of story MV in combination with local culture and proposes a music genre classification algorithm model DCNN-SSA based on spectral space domain feature concern. DCNN-SSA model effectively marks genre features of different music Mel spectrograms in the spatial domain and changes the network structure, thus improving the feature extraction effect while ensuring the validity of the model, thus improving the accuracy of music genre classification.
RSSI based Device-free Human Identification
Authors: Dharmadasa Isuru , Weerasekara Malith , Keppitiyagama Chamath I. , Gamage Chandana
Published: June 2023

Researchers have explored many methods and techniques for human detection and identification in diverse contexts. One such approach is studying variations of Radio Frequency (RF) signals (e.g., Received Signal Strength Indicator (RSSI)). RSSI based techniques have been widely used in human detection, but not for unique human identification due to its noisy nature. This research focused on investigating the possibilities and limitations of device-free human identification using Wi-Fi RSSI data with machine learning-based classification techniques. To inspect the characteristics of Wi-Fi RSSI data, the authors have conducted statistical analysis techniques. A Kalman filter was applied to minimize the noise in Wi-Fi RSSI data, followed by a feature extraction process. Furthermore, the authors have conducted multiple research experiments in different configurations of receivers and participant numbers. The experimental results show that the human identification accuracy level increases with the number of receivers used for the data collection. Moreover, the authors have identified that human identification accuracy can be further improved by leveraging proper noise reduction methods and feature extraction processes. For a Kalman filter applied and feature-extracted Wi-Fi RSSI dataset of 20 people, the Support Vector Machine (SVM) - Radial Kernel model recorded the highest average accuracy of 99.58%.